www.idosr.org Ernest, 2025
79
This is an Open Access article distributed under the terms of the Creative Commons Attribution License
(http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in
any medium, provided the original work is properly cited
International Digital Organization for Scientific Research IDOSRJES11300000
IDOSR JOURNAL OF EXPERIMENTAL SCIENCES 11(3): 79-89, 2025.
https://doi.org/10.59298/IDOSR/JES/113.7989
Narrative Review of Lifestyle Interventions in Obesity
Ernest Nsubuga
Department of Clinical Pharmacy Kampala International University Uganda
Email: ernest.nsubuga@studwc.kiu.ac.ug
ABSTRACT
Obesity remains one of the most pressing global public health challenges, requiring multifaceted strategies for
effective prevention and long-term management. This narrative review examines key lifestyle interventions,
including structured weight management programs, personalized nutrition and activity plans, relapse prevention,
and the integration of digital health technologies. Evidence indicates that behavioral treatment combining diet,
physical activity, and cognitive-behavioral therapy achieves clinically meaningful weight reduction of 7 to 10%
over 16 to 26 weeks, particularly when delivered with high intensity and professional support. Personalized
interventions supported by machine learning and eHealth tools enhance adherence by tailoring dietary and
activity goals to individual needs. Long-term success depends on relapse-prevention strategies emphasizing self-
monitoring, coping mechanisms, and cognitive restructuring. Implementation in primary care and community
settings can strengthen population-level outcomes, while integration with pharmacotherapy and bariatric care
offers comprehensive management for individuals with severe obesity. Challenges persist in ensuring equity,
accessibility, cultural adaptation, and cost-effectiveness, particularly in resource-constrained contexts. Digital
innovations and collective lifestyle environments show promise for sustaining behavioral change, but sustained
political and institutional commitment is required. Overall, the review underscores that lifestyle interventions are
the cornerstone of obesity management, and their long-term success hinges on individualized, culturally sensitive,
and technologically integrated approaches supported by public health systems.
Keywords: Lifestyle interventions, Obesity management, Behavioral modification, personalized nutrition, physical
activity and Digital health innovation.
INTRODUCTION
The increasing prevalence of obesity and its many associated comorbidities, including cardiovascular disease, Type
2 diabetes, and several cancers, remains a major public health concern [1, 4]. A growing body of evidence
confirms that lifestyle interventions incorporating dietary changes and physical activity can support weight
management. These elements of weight management programs are now widely accessible and form the basis for
many specialist obesity services [1]. However, some healthcare professionals question whether these lifestyle
changes are sufficient to help people with obesity lose and maintain a lower weight without clinical interventions
[3]. Lifestyle changes can meet the definition of “what people do to achieve or maintain a healthy weight,
including diet, physical activity, and behavioural change.” Evidence-based lifestyle changes for adults with obesity
receiving care from family doctors, dietitians, nurse practitioners, registered nurses or other trained providers may
include education, material support and other guidance on healthy diet, food behaviour, physical activity and
health behavior[5]. Increasing numbers of primary-care providers, dietitians, and lifestyle coaches are now
supporting patients with obesity in combining these approaches or scaling up their use [4]. Our lifestyles eating a
variety of foods including a lot of energy-dense foods with high levels of fat and sugars, being physically inactive
and sedentary in our daily life, and smoking tobacco, among other risk factors have resulted in excessive weight
gain for many of us, particularly at times when the energy we consume is greater than the energy we expend. NW
©IDOSR PUBLICATIONS ISSN: 2579-0781
www.idosr.org Ernest, 2025
80
This is an Open Access article distributed under the terms of the Creative Commons Attribution License
(http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in
any medium, provided the original work is properly cited
of the table states: “Lifestyle coaching is designed to help participants set and achieve goals in diet, exercise and
weight, and to improve their health, mood, and energy levels [2].”
Scope and Definitions
Obesity is generally defined as excessive fat accumulation, a condition that has recently been regarded as a chronic
disease by the World Health Organisation [1, 2]. The fundamental contributing components for classifying
obesity are body mass index (BMI) and waist circumference. If these two sometimes seem inconsistent, the
consensus is to use BMI as a valid indicator [19]. Several countries, including the US and Canada, have additional
classifications based on waist circumference and waist-to-hip ratio. However, waist circumference alone cannot
always be used for obesity classification since the differences in body shapes in the population [20]. Therefore,
visceral fat area (VFA) (commonly assessed using CT and MRI) is an equally important indicator to be clarified
before deciding on treatment and prevention measures. In order to define the inclusion and exclusion criteria for
the present review, the key term, i.e. obesity, was selected. Obesity has normally been separated into at least three
grades according to BMI values: grade I (30 ≤ BMI < 35 kg/m²), grade II (35 ≤ BMI < 40 kg/m²), and grade III
(BMI ≥ 40 kg/m²; class II or II obesity). The firm global public health warning must be raised for overweight (25
≤ BMI < 30 kg/m²) as well because overweight individuals tend to become mildly obese in just several years
without supportive individual action [24]. Thus, all the individuals that fall into grade III or class II obesity were
targeted for conducting systematic review; at least one of the intervention items for behavioural modification of
lifestyle must be incorporated in studies [25]. Behavioural modification for lifestyle includes education on
modifying activities or nutrition regarding obesity, movement or exercise prescribed for some time interval,
supporting physical attendance or mutual conversation, keeping record for consumed foods or activities, use of
internet intervention for multi communications beside normal home visit, and any other action to modify one’s
personal lifestyle[27]. As a note, novelty in the present study discourages the inclusion of reports labelled as
intervention studies, modelling studies on health statistics under situations composed from surveys, or any other
studies without independent original outcome results which have precedent publication decades ago[28].
Epidemiology and Clinical Significance
Obesity is a major public health concern worldwide. Its prevalence has steadily increased since the 1980s, with
more than 800 million adults with obesity or severe obesity estimated globally (2017) [1]. The World Health
Organization (WHO) recognizes obesity as an epidemic, with a dramatic rise in overweight and obesity reported
across all regions. In 2018, more than 1.9 billion adults were overweight, of whom over 650 million were classified
with obesity, and an estimated 39 million children under the age of 5 were overweight or obese[2]. Obesity is a
complex disease with many causes, resulting from a complex interaction of various biological, behavioral, and
environmental factors [18]. Obese people have a higher risk of developing dangerous cardiovascular diseases and
metabolic disorders [7]. Obesity significantly increases disability-adjusted life years (DALYs), mortality, and total
healthcare costs. Weight management through lifestyle interventions has attained clinical importance due to
rising obesity rates and its relationship with cardiovascular risk factors and various metabolic disorders, including
type two diabetes [10]. The American Heart Association considers obesity a modifiable risk factor for
cardiovascular disease. Consequently, a wide range of interventions focusing on diet, physical activity, and
behavioral medications, and/or behavioral therapy have been explored, and many studies have aimed to summarize
the evidence [13]. However, despite the availability of effective clinical management strategies for obesity, these
strategies have not yet succeeded in curbing the epidemic globally [20].
Objectives and Methodology of the Narrative Review
A narrative review is presented to identify and synthesize data concerning lifestyle interventions conducted with
overweight/obese subjects, individuals allocated to non-intervention or wait-list control groups, or following only
educational dietary advice are excluded [13]. The review focuses on key objectives of effective intervention
programming (weight reduction, weight maintenance, improvement of dietary habits, increased physical activity,
reduction of alcohol intake, and smoking cessation), and those elements in the activity profile of the
interventionists that are established to be positively related to successful intervention outcomes[16]. The review
starts with the frequency of occurrence of each of the above aspects in the lifestyle intervention literature,
revealing that weight reduction remains the primary objective of most programs [12]. Reasons for this emphasis
are discussed, along with the effects of various intervention components (e.g. formal social support, number of
contacts, and length of follow-up) [17]. Certain gaps (e.g. limited information on weight maintenance) and
practical implications (e.g. the currently unsatisfactory results from efforts to induce positive changes of habitual
alcohol intake and smoking, and the possible merits of improving physical activity) are highlighted [18].
Dietary Interventions
In 1997, the World Health Organization recognized obesity as a global epidemic that is on the rise, affecting more
than 1.8 billion adults worldwide. Obesity is defined as an excess of body fat, which can be an indicator of body
www.idosr.org Ernest, 2025
81
This is an Open Access article distributed under the terms of the Creative Commons Attribution License
(http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in
any medium, provided the original work is properly cited
weight [13]. The presence of excess fat in the human body can result from over-eating, sedentary lifestyle, and
genetic predisposition. Classifications of obesity are determined using body mass index (BMI), which is calculated
by dividing an individual’s body mass in kilograms by the square of their height in meters (kg.m-2)[7]. The
World Health Organization has classified obesity into three categories according to the following BMI index:
overweight (BMI > 24.9), obesity class I (BMI > 29.9, ≤34.9), obesity class II (BMI > 34.9, ≤ 39.9), and obesity
class III (BMI ≥ 40). It has been reported that in 2008, 35 percent of adults aged ≥ 20 years old in the USA were
classified as overweight, 33.8 percent as class I, 6.5 percent as class II, and 6.6 percent as class III [9]. Among the
many diseases, obesity is considered the main cornerstone of cardiovascular-related maladies. Excess fat raises the
risk for coronary heart disease, hypertension, and stroke, mainly due to increased metabolism and blood circulation
[19]. The excess fat forces the heart to pump harder than normal while elevating thought processes, which
shortens one’s life expectancy [17]. Extreme obesity significantly damages the body such that only a few
survivors after ages 70 to 80 are known. Obesity is a serious health risk and can be considered the highest risk
factor for human sickness and death [15]. According to the annual report and findings made by the National
Institute of Health, Mode of Life Programs (MOLP) has made significant progress in decreasing the alarming
records of obesity. It has been noted that in a survey conducted in USA from 2007 to 2012, among the overall
population, 12 percent are classified as class II and 9 percent as class III obesity governing the 25–45 age-group
[11].
Dietary Patterns and Calorie Restriction
Dietary patterns at least as commonly practiced fail to fall under lifestyle modifications impacting obesity, despite
significant weight loss and other cardiovascular/metabolic risk factors being consistently documented [3]. The
same is true for traditional calorie-restriction approaches, which specify daily or weekly allotments [4].
Throughout diet-regimen completion, metabolic improvements persist; however, adherence proves challenging.
Whether through formal or self-directed structures, extensive rebounding is typical after cessation, even
observations like improved insulin sensitivity do not transfer into the post-diet phase [5].
Macronutrient Composition and Meal Timing
The body retains a clear memory of the amount of food ingested the day before, which fine-tunes appetite for the
next[6]. The reduction of food intake is more effective when previous intake is taken into consideration than a
standard calorie count [28]. To lose body weight, individuals tend to reduce the number of calories consumed or
regulate the wide variety of food options available [16]. A new model is introduced to generate an environment
where individuals are more likely to consume lower amounts and variety [5]. The menu patterns are analyzed
based on the feedback information from day-to-day food choices, to provide limited amounts of substitute foods, on
top of the less attractive foods to avoid boredom [28]. It generates selections that lead to a served meal count
smaller than the norm, and inhibits an overabundance of food so those served portions are importantly all the
same kind. Users can switch between low-calorie and low-variety depending on personal attitude [16, 27]. By
adjusting the tension of food intake against internal or external one, users can strive for losing weight by forming
communications about food selections [15].
Behavioral Strategies within Dietetic Programs
Efficient and successful management of obesity involves multiple treatment strategies, including behavior
modification [8]. Behavioral strategies encompass stress management, cognitive restructuring, self-monitoring,
social support, and stimulus control. Behavioral interventions in obesity management focus on structured methods
to improve lifestyle habits like exercise and diet [19]. The lack of a comprehensive understanding of behavioral
interventions in obesity management remains a significant gap, especially in low-income and middle-income
countries [28]. Exploring methods guided by recommendations from reputable organizations and those beyond
existing guidelines can offer further insights into obesity intervention [27].
Comparisons of Popular Diets and Long-Term Adherence
Many popular diets have not been tested in clinical trials, making it difficult to assess their maintenance and
adherence [14]. The Physiological Effects of Popular Diets Commonly Used for Weight Loss: A Review lists brief
overviews of popular diets and physiology of weight loss. Diets receiving the strongest evidence for long-term
maintenance and adherence include the Atkins and Paleolithic diets [8]. These diets allow for a limited range of
food selection at energy requirements below maintenance levels while striving for palatability and a broad
macronutrient balance [15]. Maintenance with satisfactory adherence typically remains around 10–20% above the
weight attained after an initial active period of 15 weeks to 2 years [6].
Physical Activity and Sedentary Behavior
Physical activity (PA) and sedentary behavior (SB) have become increasingly recognized as important factors in
the obesity pandemic, with several objective and subjective monitoring studies establishing an association between
these lifestyle behaviors and obesity across all age groups [2]. Since social and environmental changes have
www.idosr.org Ernest, 2025
82
This is an Open Access article distributed under the terms of the Creative Commons Attribution License
(http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in
any medium, provided the original work is properly cited
considerably modified the nature and pattern of activities performed during childhood and adolescence over recent
decades, there is growing interest in examining the role of these lifestyle behaviors in the childhood obesity
epidemic [4]. Cochrane reviews have consistently demonstrated that lifestyle interventions including elements of
PA and SB reduce body weight and body mass index, in addition to modulating cardiometabolic risk factors in
overweight and obese populations [3]. Although sedentary time interventions alone are effective in reducing
sedentary time, when PA time is the primary objective, a concurrent treatment target on SB does not confer
additional benefits. Given PA’s prominent role in modulating obesity and cardiometabolic factors, it is worth
exploring its intervention and treatment independently from SB [6]. The PA literature focuses largely on the
adult population, with some embellishments on obesity treatment in the child and adolescent population, and thus,
the review is supplemented by several large meta-analyses. Important components of the PA intervention strategy
with proven effectiveness include the use of physical activity monitors and pedometers, and a variety of behavioral
change techniques like self-monitoring, goal setting, prompts, social support, and face-to-face contacts [7]. The
child and adolescent population is complemented by similarly substantial reviews and meta-analyses [1]. As a
prominent lifestyle factor modulating obesity and the associated cardiometabolic risk, physical activity is examined
separately from sedentary behavior interventions, yet sedentary behavior does influence physical activity and is
therefore addressed [3]. As previously noted in the epidemiological and burden section and again in the
subsequent discussion on cardiovascular and metabolic risk, obesity is a prominent risk factor compromising
cardiovascular and metabolic health [23].
Aerobic, Resistance, and Combined Training
Feasible guidelines to facilitate weight loss and its maintenance are urgently needed [6]. Obesity is associated
with chronic diseases, particularly of the cardiovascular and metabolic systems, which energize interests in related
interventions [5]. Biomarker, functional, and health-related quality-of-life outcomes are needed in addition to
body-weight or body-composition measures to assist in understanding the burdens caused by the underlying
obesity and the impact of associated treatments [1]. Aerobic exercise is implicated in weight-loss interventions
[18]. Nevertheless, the link between moderate-intensity aerobic exercise and weekly energy expenditure is weak,
with a mere 200 kcal/week accounting for much variance [17]. Resistance exercise does not help in achieving
related interventions but appears to bring unique benefits that are substantial on their own [8]. Combining both
exercise modalities is associated with better weight-control and fat-loss outcomes relative to the estimated energy-
expenditure increase, an auxiliary component that can, in an engineered fashion, augment the intervention and will
not hurt people who cannot or will not comply with either aerobic or weight-training exercise [8].
Dose-Response and Adherence Factors
The dose-response relationship is well-studied in many other areas of public health, but the concept deserves more
consideration in behavioural interventions for obesity. Calling programs “low,” “medium,” or “high” intensity is
seductive, but does little to quantify exposure [10]. Variations in the precise nature of behaviours targeted, the
modes used to deliver them, and the timing of these measures are all important determinants of the overall dose
and frequently differ across interventions[7]. Sometimes, the amount of behavioural change achieved is tailored to
the individual [9]. A range of parameters have been identified as potential correlates of adherence to lifestyle
interventions, including program length, degree of dietary prescription, level of support, the balance between diet
and activity, training of facilitators, programme structure, and the number and type of individual contacts [10].
Impact on Weight, Metabolic Health, and Cardiovascular Risk
The impact of lifestyle interventions on weight, metabolic health indicators, and cardiovascular risk factors in
high-risk populations remains poorly defined, despite the increasing prevalence of obesity that carries significant
risk [11]. Cardiovascular diseases are largely preventable but require knowledge of risk assessment methods
[12]. A thorough review of diverse databases sought to compare the effectiveness of weight-maintenance or
weight-neutral lifestyle interventions against either other interventions or usual care on weight and
cardiometabolic risk measures [15]. The inclusion criteria adopted emphasized the necessity of a population with a
high burden of obesity and cardiovascular disease; the modifications did not fully remove the terminology “weight-
for-age”; the term “weight-neutral” was stated to maintain adherence to the more formal guidelines [13].
Numerous improvements to cardiorespiratory fitness, blood glucose parameters, and inflammatory indicators
might result from lifestyle changes without the specific target of weight loss; even with the consequent body-
weight decrease in some instances, these advances still develop and persist without subsequent changes in body
mass [1].
Lifestyle Counseling and Behavioral Therapies
Lifestyle counseling and behavioral therapies are treatment modalities aimed at achieving patients’ long-term
lifestyle changes. The main target is obesity reduction [9]. These lifestyle changes can be achieved by behavioral
therapies or even by simple and short counseling sessions. Lifestyle counseling refers to short interventions that
www.idosr.org Ernest, 2025
83
This is an Open Access article distributed under the terms of the Creative Commons Attribution License
(http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in
any medium, provided the original work is properly cited
may be offered by a health professional who is not a specialist (non-physician). Examples of behavioral therapy
include cognitive-behavioral therapy and motivational interviewing [23]. It is important to indicate that only
studies offering a minimum intervention for a certain amount of time are included in this analysis. Therefore,
studies without any substantial intervention and behavioral therapies regarding physical activity and dietary
change are excluded [5]. In addition, studies whose results rely on appetite control medications, regardless of its
popularity or effectiveness, are also excluded from this analysis [22]. Behavioral treatments emphasize self-
directed management and personal responsibility for regulating eating and related sedentary behaviors. These
treatment modalities aim to improve mood and self-efficacy and to develop self-regulation skills, including
monitoring and controlling intake, governed by explicit learning [21]. The ingredients of successful behavioral
weight management programs are: a multicomponent approach; regular assessment and support to promote
continued self-monitoring and behavior change; and attention to the relationship of physical activity and eating
with affect [6].
Motivational Interviewing and Goal Setting
Motivational Interviewing (MI) aims to enhance intrinsic motivation and foster commitment to change by
exploring and overcoming ambivalence in persons considering, or already in, the transtheoretical process of
making a lifestyle change. Based on the homology of patient-centered psychotherapy and non-directive teaching,
MI was developed with the intent to mitigate an oppressive and system-affirmative culture through decidedly
permissive and open-ended interventions [12]. MI reframes “sustaining talk” as lack of readiness rather than lack
of will or malfeasance; preserves the patient control to choose, acknowledge, and, if desired, act on the right for
personal decisions and autodirection; and permits expression of any idea, wish, disappointment, or concept in a
non-judgmental space [13]. MI in weight management and the partnering of MI with goal-setting procedures
strengthens the social convergence necessary for extensive consultation [5]. Each deeply felt resolution enacts
even without formal progression through the states of change, layering atop pre-existing cycles. MI raises
readiness to change dietary and physical activity practices, boosts goal-setting processes, and motivates sizeable
knowledge and pre-action changes, among other favourable shifts [8]. The theory of MI posits the influence of
forwarded client language (ie, change “talk”) as a critical condition of success, proactively seeking elaboration of
why and how, and employing these catalysts to activate subsequent phases of readiness and action [14]. Exercises
introduced introduce conceptual readiness concepts and articulate session-based relationships. Intervention studies
reveal that support for participant-centred initiation cycles enhances exploratory active “persistence” elaboration
of both pre- and post-action features, specification of in-depth descriptions of goal-control elements such as when,
where, and with whom, and delineation of precise action-intent sharing upon attaining ambitious initial
attainment, missed-deviation-status-control, reflection and feedback-building[15]. Conventional goal-support
scheming, narrowly identifying intention along a single dimension and ill-aimed functional comprehension, lead to
scope-fixation setting and tendency toward turn-off satisfaction on although early conceptualisation occurs.
Personalised anticipation of process alignment and permitting incorporation of knowledge and understanding
specific intervenees favour augmentation [16]
Self-Monitoring, Feedback, and Digital Tools
Self-monitoring, feedback, and digital tools can increase the awareness and understanding of behaviors that
influence weight [4, 5]. Self-monitoring of health behaviors (e.g., food intake, physical activity level, body weight,
and physiological measurements) may enhance individuals’ awareness of their own health behaviors, thereby
increasing their knowledge and providing opportunities for self-evaluation [29]. Digital tools, such as dietary and
activity monitoring apps, allow users to track and monitor food intake, physical activities, sedentary behaviors,
sleep, and other lifestyle factors [30]. Tools that allow users to upload and share self-monitored health behaviors
with individuals, families, or groups facilitate social feedback and may influence participants’ perceptions and
understanding of the monitored health behaviors [15]. In obesity intervention, remotely applied self-monitoring
tools of dietary intake and tailored feedback have been found to be feasible and effective in changing dietary
behavior. Mobile applications are commonly used, allowing dietary self-monitoring and personal feedback to be
applied and structured at users’ own convenience [12]. Effectiveness of dietary self-monitoring is significantly
influenced by adherence [10, 7]. Self-monitoring tools including paper records, spreadsheets, and mobile
applications showed comparable effectiveness on dietary-adjustment outcomes, but the design, usability, cost, and
management of diet-related mobile applications is still a major practical consideration in diet programs [16].
Family, Social, and Environmental Influences
Despite decades of effort, achieving lasting weight loss remains a significant challenge; this is likely to be due in
part to the complex interplay of family structure, social environment, and physical environment [9]. Evidence
suggests, for example, that adolescents whose families eat together more than four times a week have a lower risk
of being overweight or obese [17]. Popular culture engages in narratives about the impacts of social environment
www.idosr.org Ernest, 2025
84
This is an Open Access article distributed under the terms of the Creative Commons Attribution License
(http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in
any medium, provided the original work is properly cited
on weight (who one eats with, where one eats, routines related to drinking, etc.), which may inhibit efforts to
develop evidence-based interventions in comprehensive conceptualizations [15]. Young children experience rapid
weight gain (BMI z-score increase) from ages two to six, suggesting an opportunity for early intervention.
Though heavy-infant and heavy-parent area-wide policies are fundamental, community-wide programs that can
promote family-centered solutions may be impactful, particularly if social-routine narratives about eating,
drinking, and social-network mobility are embedded [18]. High-income communities offer organized sporting,
exercise, learning, and play opportunities, while low-income neighborhoods provide minimally perceptible access.
Community-oriented, multi-sponsor lifestyle-modification programs addressing high-need areas such as access to
affordable healthful food, physical activity, safe recreation, and family-wide health may stimulate economies via
inward migration of healthier residents [15].
Multi-Component and Individualized Programs
Long-term lifestyle interventions to promote increased physical activity are effective in improving anthropometric
and cardiometabolic markers in class II and III obesity, provided they can be maintained [2]. These large-volume,
multi-component programs require strategic planning, not only of content but also of adherence factors that help
achieve and sustain long-term compliance [6]. Barriers to participation and completion must be understood,
addressed, and continuously evaluated because they evolve as the intervention progresses [7]. The proposed
‘Stages towards Completion Model’, a theoretical framework developed to map journeys, both individual and
collective, through complex programs, could offer useful insights into the factors related to lifestyle interventions
for obesity[ 1, 18, 2].
Structured Weight Management Programs
Structured weight management programs (SWMPs) in adults with obesity primarily include dietary and physical
activity components and are supplemented with photovoice and counseling [13]. They often use a multi-faceted
approach including the skills, knowledge, and practical steps required to sustain a healthier lifestyle. Increased
participation in lifestyle behaviours is commonly reported, but evidence of sustained behaviour change or increased
motivation is lacking [12]. Despite this, SWMPs appear favoured over minimal or standard care, particularly for
those with waist circumference greater than 88cm for women and 102cm for men [2]. Behavioural treatment for
obesity, a combination of diet, physical activity, and behaviour therapy, is regarded the cornerstone of weight
management for overweight and obese adults [2]. This method employs strategies such as goal setting and record
keeping to enable individuals to reduce their caloric intake by around 500 to 1,000 kcal daily, principally via
decreased portion sizes, snacking, and the consumption of high-fat, high-sugar foods, while simultaneously
encouraging exercise for at least 30 minutes on most days[11]. Weekly group or individual sessions led by
registered dietitians, psychologists, or exercise specialists typically achieve average weight loss of around 7 to 10%
over 16 to 26 weeks [3]. A systematic review shows high-intensity behavioural interventions, those featuring
more than once-a-month face-to-face contact in the first three months, to be more effective: participants attain
weight losses of 4 to 7 kg compared with those receiving the minimum required. The most substantial losses
emerge from randomised controlled trials conducted in academic medical centres by experienced interventionists
delivering weekly treatment [2, 19].
Personalized Nutrition and Activity Plans
Personalized nutrition and personalized physical activity represent two interconnected strategies that can improve
dietary patterns or increase physical activity [27]. Personalized nutrition encompasses a wide range of
approaches, often combining multiple modalities. Both can help close the gap between recommended and actual
dietary or physical activity patterns, and they are already integrated into some eHealth and mHealth interventions
targeting obesity [3]. Personalized nutrition interventions often rely on dietary assessment and feedback systems,
which typically include a discussion of national or international dietary guidelines [1, 20]. Statistical or
computational systems and machine learning account for individual differences in nutritional needs: these systems
make food recommendations based on the nutritional requirement profile of individual users and the nutrient
contents of the food consumed [23]. Goal-setting aids in food selection based on personalized nutrition needs for
macronutrient intake and prevention of chronic diseases [22]. The advice may include special suggestions or
considerations such as weight reduction goals, meal preparation time, reduced intake of added sugar and fat, and
food intolerance [21]. The first step comprises a food dataset, which might be obtained from the food database of
relevant apps. Natural language processing techniques can then extract data from free-form input [1].
Maintenance Strategies and Relapse Prevention
Correctly managing relapse-inducing situations is vital for long-term obesity treatment success [24]. The
following are useful strategies: identify situations that provoke overeating/physical inactivity, develop a plan to
counteract the effect of these situations on behavior, categorize plans as practical, cognitive, or relaxed practice, be
specific in planning, and re-evaluate plans regularly and strengthen them if possible[27]. Using these strategies
www.idosr.org Ernest, 2025
85
This is an Open Access article distributed under the terms of the Creative Commons Attribution License
(http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in
any medium, provided the original work is properly cited
can help people with obesity avoid risky situations or prepare for them effectively [23]. A heightened willingness
to reach one’s goals despite the temptation of immoderate food intake significantly predicts lower weight regain
after weight loss. Overweight and obese participants benefit from learning to identify temptation situations, plans
for avoiding them, and plans for handling them if they cannot be avoided [25]. Continuous self-monitoring of the
size of the depletion zone can help with that [20]. Identifying situations that provoke disinhibited eating and
relapse can help prevent actual relapse, but participants often overestimate the amount of food they will be able to
resist in critical situations [25]. Therefore, it is useful to supplement the identification and monitoring of
disinhibited-eating situations with a detailed analysis of actual relapse incidents [19]. By analyzing the
circumstances of earlier relapse incidents, participants can discover managing strategies that were previously
neglected [16].
Clinical and Public Health Implications
The transition from personal self-management of obesity to promotion of collective lifestyle for weight control
involves the adoption of strong social norms, practices, and physical spaces where people care and encourage
people who have the motivational skill to adhere with respect for their confidentiality [20]. People needing
encouragement require support that cares and respects [14]. Promoting the reduction of stressful air pollution
and noise enhances pleasant socialization spaces for weight control [19].VCollective cohabitation has increasing
potential to provoke interaction across the curriculum accommodating different lifestyles [1]. Promoting
attractive socialization location for gathering to foster making entertaining voluntary co-participated co-
formulation openness model for interactive compilation could help more general population through adopting a
co-smart co-space [13]. Expansion of collective housing co-occupying traditional privacy space yet stimulating
conviviality could take number of density and potential stimulation channel of building interactive lifestyle node
[14].
Implementation in Primary Care
Restricted access to clinical services and the increasing burden of obesity paradoxically create favourable
conditions for promoting weight management in primary care [11]. A pragmatic implementation framework
adapted from the World Health Organization supports health workers across three levels of delivery intensity. At
level 1 specifically targeted interventions and rigorous delivery activities are driven by settings outside the health
system (for example, educational authorities) in collaboration with key community stakeholders; these include
motivational health talks to adolescents in schools for primary prevention [12]. At level 2non-specialized inclusive
services in supportive environments weight management is integrated into sexual and reproductive health services
for all adults, and mothers are offered support to maintain normal weight before and after pregnancy [6]. At level
3 full management by specialized setting-based services that comprehensively manage complex co-morbid
conditions, including obesity dedicated programs target adults with class II obesity and/or high cardiometabolic
risk associated with obesity [10]. Narrative reviews of clinical evidence are analyzed to assess fidelity to treatment
principles and evidence base for standard operating procedures within the level 1 framework. The 14 in-depth
studies report on supervised acute interventions of ≥3 months and ≤12 months with either face-to-face support or
a mobile phone app and no pharmacological adjuncts [11]. With outcomes expressed as percentage weight change
or excess weight loss, the device-assisted trials align with treatments combining dietary and physical activity
advice within a graduated step approach and operationalizing “eat less” with calorie counting and “move more”
with aerobic guideline adherence [17].
Cost-Effectiveness and Resource Utilization
Few lifestyle obesity interventions that are predominantly behavioral, theoretically grounded, and rigorously
evaluated domestically have been identified that target multiple Canada Food Guide elements [14]. One exception
is the shape up program, which limits participants to unprocessed foods, emphasises regular exercise, and
encourages enhanced social connections [21]. Combining imparted influential knowledge regarding healthy
eating, exercise, and lifestyle habits while promoting active societal encouragement of these principles retains the
potential to convert latent awareness of obesity-related problems into a proactive population-wide program.
Behavioural reinforcement through customer-loyalty card applications offers individuals the convenience of
effortlessly measuring community involvement and personal achievement [2]. Barrier-laden nutritional exercises
can be countered with extra promotion of easily sourced substitutes thereby propelling joint consumption
dynamics through driven populaces.uniformly through superficial community lighting [7]. Augmenting
acceptance mitigates early-stage risks among environment-exposed gatherings or neighbourhoods plagued with
absorptive multi-form community exposure [10].
Equity, Accessibility, and Cultural Adaptation
Lifestyle changes that involve dietary intake or physical activity are effective treatments for obesity [4]. However,
barriers persist that are aggravated by societal issues including socio-economic status, ethnicity, or race [22].
www.idosr.org Ernest, 2025
86
This is an Open Access article distributed under the terms of the Creative Commons Attribution License
(http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in
any medium, provided the original work is properly cited
Cultural adaptation is an appropriate means to promote engagement in the lifestyle changes needed to achieve a
weight-loss goal [23]. Adaptation maintains adherence to traditional cultural values while increasing the
motivation for the desired behaviors [30].
Gaps in Evidence and Future Directions
Despite the growing evidence base, research examining the effects of lifestyle interventions in obesity remains
limited [25]. This article highlights the key gaps in knowledge and suggests directions for future study to build
upon the existing groundwork. One crucial question is the durability of these interventions and their ability to
promote sustained weight loss over extended periods [1]. Another important area for further study is the impact
of different intervention modalities, including mass media engagement, community-based outreach, and online
delivery through digital platforms [24]. Research should also investigate the effectiveness of lifestyle measures in
addressing obesity during pregnancy and the postpartum period, when many women find it particularly
challenging to return to pre-pregnancy body weight [21]. Continued scientific inquiry is needed into the weight-
loss benefits provided by lifestyle interventions targeting specific minority groups and those experiencing
socioeconomic disadvantage [28]. Although some studies attest to the feasibility and effectiveness of such
initiatives, demonstrating positive change in weight and associated health indicators lasting several months or
years, further investigation to enhance understanding of the impact of these interventions is warranted [26].
Disparities in weight status associated with ethnicity, culture, and low socioeconomic status continue to be well
documented; policy engagement and clinical research should respond by promoting the avenues for weight-control
strategy evaluation in these settings that could refine and adapt resources to improve their acceptability and
effectiveness [16].
Long-Term Effectiveness and Sustainability
Participants who lose weight through lifestyle behaviour modification must maintain the new weight to realise any
health benefits. Thus, weight loss is only one aspect of long-term efficacy [14]. Some indicate that individuals
regain weight after behaviour modification [25]. Others suggest the majority maintain some weight loss post-
intervention [2]. Previous systematic reviews addressed the effectiveness of lifestyle interventions on short-term
(up to 12 weeks) weight loss but a need exists for an overview of long-term (greater than 52 weeks) follow-up
effects of lifestyle interventions on weight loss and maintenance [12].
Integration with Pharmacotherapy and Bariatric Care
Weight-management pharmacotherapies may assist individuals striving to achieve and sustain weight loss via
lifestyle regression [26]. Pharmacotherapy may be considered for individuals with specific Body Mass Index
(BMI) cut-offs (on the basis of guidelines issued by Diabetes Canada), following insufficient weight reduction or
weight regaining after extensive lifestyle interventions supported by behavioural therapy[18]. This section
portrays pharmacotherapy as either an adjunct or alternative to intervention-based treatments, allowing a broader
evaluation of lifestyle-engagement models [11]. Surgical options have shown long-term weight-management
success. Canada has long waiting times and limited access for weight-management surgical alternatives. Hence,
lifestyle engagement obtains particular attention in jurisdictions with limited surgical availability [19].
Engagement with lifestyle interventions supplies third-party funding for weight-management surgery when
certain BMI increment thresholds buoy pharmacotherapeutic options as adjuncts.
Role of Technology and Digital Health Innovations
Lifestyle interventions promoting behavior modifications such as healthier eating and physical activity can help
prevent obesity and comorbidities. However, the behavior-focused approaches employed in many interventions are
often inconsistent and ambiguous [27]. E-health or digital health refers to a broad range of services and systems
that use portable devices for health improvement. Digital interventions such as mobile applications, websites,
device-based self-monitoring tools, text-messaging, and wearable devices have received increased attention as
alternative platforms in obesity interventions [29]. Digital interventions mainly offer communication channels for
health-related information and data exchanges among individuals, health care providers, and stakeholders 28.
Promoting healthy diet, habits, and regular physical activity through digital health coaching can be effective for
weight loss and obesity management [29]. Mobile-app focused lifestyle digital interventions for overweight and
obese populations may support weight loss. Despite ubiquitous mobile phone use, pursuing obesity treatment has
been challenging for many individuals. Digital health coaching has emerged as a promising approach to addressing
common barriers [30-37].
CONCLUSION
Lifestyle interventions represent the foundation of effective obesity prevention and treatment. The evidence
consistently demonstrates that combining dietary modification, physical activity, and behavioral strategies yields
clinically meaningful and sustainable weight loss outcomes. Structured weight management programs (SWMPs)
remain the most effective non-pharmacological approach, particularly when delivered with frequent professional
www.idosr.org Ernest, 2025
87
This is an Open Access article distributed under the terms of the Creative Commons Attribution License
(http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in
any medium, provided the original work is properly cited
contact and individualized support. Personalized nutrition and physical activity programs, increasingly guided by
digital tools and artificial intelligence, enhance self-efficacy and adherence by aligning interventions with
individual metabolic profiles, preferences, and lifestyles. Sustaining weight loss remains a critical challenge.
Relapse-prevention strategies, such as identifying triggers, developing coping mechanisms, and continuous self-
monitoring, are essential for maintaining long-term success. The integration of lifestyle interventions into primary
care ensures continuity, while community and workplace programs promote social support and collective
engagement. In parallel, digital health innovations, including mobile applications, wearable devices, and telehealth
platforms, expand the reach of behavioral interventions and provide real-time feedback that reinforces
accountability and motivation. Equity, accessibility, and cultural adaptation remain pivotal to maximizing the
effectiveness of lifestyle interventions. Programs must consider socioeconomic and cultural contexts to ensure
inclusivity and prevent widening health disparities. Moreover, coordinated policy action is required to align public
health, primary care, and community initiatives. Although pharmacotherapy and bariatric surgery can complement
lifestyle strategies, lasting success ultimately depends on the sustained adoption of healthier behaviors, supported
by systemic changes in healthcare delivery, technology use, and social environments. The future of obesity
management lies in integrating evidence-based lifestyle interventions with personalized digital and medical
approaches to create adaptive, equitable, and sustainable systems that empower individuals and communities to
achieve lifelong health.
REFERENCES
1. Baillot A, Romain AJ, Boisvert-Vigneault K, Audet M, Baillargeon JP, Dionne IJ, Valiquette L, Chakra
CN, Avignon A, Langlois MF. Effects of lifestyle interventions that include a physical activity component
in class II and III obese individuals: a systematic review and meta-analysis. PLoS One. 2015 Apr
1;10(4):e0119017.
2. Hassan Y, Head V, Jacob D, Bachmann MO, Diu S, Ford J. Lifestyle interventions for weight loss in
adults with severe obesity: a systematic review. Clinical obesity. 2016 Dec;6(6):395-403.
3. Yeung C, Shi IQ, Sung HK. Physiological Responses of Post-Dietary Effects: Lessons from Pre-Clinical
and Clinical Studies. Metabolites. 2021 Jan 20;11(2):62.
4. Paul-Chima UO, Nneoma UC, Bulhan S. Metabolic immunobridge: Could adipose-derived extracellular
vesicles be the missing link between obesity, autoimmunity, and drug-induced hepatotoxicity?. Medical
Hypotheses. 2025 Sep 28:111776.
5. Janaswamy R, Yelne P. A narrative review on intermittent fasting as an approachable measure for weight
reduction and obesity management. Cureus. 2022 Oct 17;14(10).
6. Rynders CA, Thomas EA, Zaman A, Pan Z, Catenacci VA, Melanson EL. Effectiveness of intermittent
fasting and time-restricted feeding compared to continuous energy restriction for weight loss. Nutrients.
2019 Oct 14;11(10):2442.
7. Paul-Chima UO, Nnaemeka UM, Nneoma UC. Could dysbiosis of urban air microbiota be an overlooked
contributor to pediatric asthma and neurodevelopmental disorders?. Medical Hypotheses. 2025 Sep
12:111758.
8. Washburn RA, Szabo AN, Lambourne K, Willis EA, Ptomey LT, Honas JJ, Herrmann SD, Donnelly JE.
Does the method of weight loss effect long-term changes in weight, body composition or chronic disease
risk factors in overweight or obese adults? A systematic review. PloS one. 2014 Oct 15;9(10):e109849.
9. Howlett N, Trivedi D, Troop NA, Chater AM. Are physical activity interventions for healthy inactive
adults effective in promoting behavior change and maintenance, and which behavior change techniques
are effective? A systematic review and meta-analysis. Translational behavioral medicine. 2019
Feb;9(1):147-57.
10. Lee DC, Brellenthin AG, Lanningham-Foster LM, Kohut ML, Li Y. Aerobic, resistance, or combined
exercise training and cardiovascular risk profile in overweight or obese adults: the CardioRACE trial.
European heart journal. 2024 Apr 1;45(13):1127-42.
11. Paul-Chima UO, Ogenyi FC, Ugwu CN, Nnaemeka UM. Gut Microbiota-Derived Metabolites as Early
Biomarkers for Childhood Obesity: A Policy Commentary from Urban African Populations. Obesity
Medicine. 2025 Sep 4:100641.
12. Singh N, Stewart RA, Benatar JR. Intensity and duration of lifestyle interventions for long-term weight
loss and association with mortality: a meta-analysis of randomised trials. BMJ open. 2019 Aug
1;9(8):e029966.
13. Leung AW, Chan RS, Sea MM, Woo J. An overview of factors associated with adherence to lifestyle
modification programs for weight management in adults. International journal of environmental research
and public health. 2017 Aug;14(8):922.
www.idosr.org Ernest, 2025
88
This is an Open Access article distributed under the terms of the Creative Commons Attribution License
(http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in
any medium, provided the original work is properly cited
14. Maruthur NM, Gudzune K, Hutfless S, Fawole OA, Wilson RF, Lau BD, Anderson CA, Bleich SN, Segal
J. Avoiding weight gain in cardiometabolic disease: a systematic review. Journal of obesity.
2014;2014(1):358919.
15. Ugwu CN, Ugwu OP, Alum EU, Eze VH, Basajja M, Ugwu JN, Ogenyi FC, Ejemot-Nwadiaro RI, Okon
MB, Egba SI, Uti DE. Medical preparedness for bioterrorism and chemical warfare: A public health
integration review. Medicine. 2025 May 2;104(18):e42289.
16. Pollak KI, Coffman CJ, Alexander SC, Manusov JR, Østbye T, Tulsky JA, Lyna P, Esoimeme I, Brouwer
RJ, Dolor RJ. Predictors of weight loss communication in primary care encounters. Patient education and
counseling. 2011 Dec 1;85(3):e175-82.
17. Leffingwell TR. Interventions and Health Behaviors. The health psychology handbook: Practical issues
for the behavioral medicine specialist. 2003 Jun 18:42.
18. Copeland L, McNamara R, Kelson M, Simpson S. The development of a coding system to code planning
talk within motivational interviewing. Patient Education and Counseling. 2017 Feb 1;100(2):313-9.
19. Du Y, Dennis B, Rhodes SL, Sia M, Ko J, Jiwani R, Wang J. Technology-assisted self-monitoring of
lifestyle behaviors and health indicators in diabetes: qualitative study. JMIR diabetes. 2020 Aug
28;5(3):e21183.
20. Ugwu CN, Ugwu OP, Alum EU, Eze VH, Basajja M, Ugwu JN, Ogenyi FC, Ejemot-Nwadiaro RI, Okon
MB, Egba SI, Uti DE. Sustainable development goals (SDGs) and resilient healthcare systems:
Addressing medicine and public health challenges in conflict zones. Medicine. 2025 Feb 14;104(7):e41535.
21. Teasdale N, Elhussein A, Butcher F, Piernas C, Cowburn G, Hartmann-Boyce J, Saksena R, Scarborough
P. Systematic review and meta-analysis of remotely delivered interventions using self-monitoring or
tailored feedback to change dietary behavior. The American journal of clinical nutrition. 2018 Feb
1;107(2):247-56.
22. Arnason A, Langarica N, Dugas LR, Mora N, Luke A, Markossian T. Family-based lifestyle
interventions: What makes them successful? A systematic literature review. Preventive Medicine
Reports. 2021 Mar 1;21:101299.
23. Grootens-Wiegers P, van den Eynde E, Halberstadt J, Seidell JC, Dedding C. The ‘Stages towards
Completion Model’: what helps and hinders children with overweight or obesity and their parents to be
guided towards, adhere to and complete a group lifestyle intervention. International journal of qualitative
studies on health and well-being. 2020 Jan 1;15(1):1735093.
24. Carvajal R, Wadden TA, Tsai AG, Peck K, Moran CH. Managing obesity in primary care practice: a
narrative review. Annals of the New York Academy of Sciences. 2013 Apr;1281(1):191-206.
25. Shyam S, Lee KX, Tan AS, Khoo TA, Harikrishnan S, Lalani SA, Ramadas A. Effect of personalized
nutrition on dietary, physical activity, and health outcomes: a systematic review of randomized trials.
Nutrients. 2022 Oct 2;14(19):4104.
26. Edyedu I, Ugwu OP, Ugwu CN, Alum EU, Eze VH, Basajja M, Ugwu JN, Ogenyi FC, Ejemot-Nwadiaro
RI, Okon MB, Egba SI. The role of pharmacological interventions in managing urological complications
during pregnancy and childbirth: A review. Medicine. 2025 Feb 14;104(7):e41381.
27. Saha S, Gerdtham UG, Johansson P. Economic evaluation of lifestyle interventions for preventing
diabetes and cardiovascular diseases. International journal of environmental research and public health.
2010 Aug;7(8):3150-95.
28. Saju R, Castellon-Lopez Y, Turk N, Moin T, Mangione CM, Norris KC, Vu A, Maranon R, Fu J, Cheng
F, Duru OK. Differences in weight loss by race and ethnicity in the PRIDE trial: a qualitative analysis of
participant perspectives. Journal of General Internal Medicine. 2022 Nov;37(14):3715-22.
29. Gonzalez G. Primary care interventions to reduce childhood obesity in Latino families. Journal of
Pediatric Health Care. 2016 Sep 1;30(5):471-9.
30. Richardson AS, Chen C, Sturm R, Azhar G, Miles J, Larkin J, Motala A, Hempel S. Obesity prevention
interventions and implications for energy balance in the United States and Mexico: a systematic review of
the evidence and meta‐analysis. Obesity. 2019 Sep;27(9):1390-403.
31. Rotunda W, Rains C, Jacobs SR, Ng V, Lee R, Rutledge S, Jackson MC, Myers K. Weight loss in short-
term interventions for physical activity and nutrition among adults with overweight or obesity: a
systematic review and meta-analysis. Preventing chronic disease. 2024 Apr 4;21:E21.
32. Ongesa TN, Ugwu OP, Ugwu CN, Alum EU, Eze VH, Basajja M, Ugwu JN, Ogenyi FC, Okon MB,
Ejemot-Nwadiaro RI. Optimizing emergency response systems in urban health crises: A project
management approach to public health preparedness and response. Medicine. 2025 Jan 17;104(3):e41279.
www.idosr.org Ernest, 2025
89
This is an Open Access article distributed under the terms of the Creative Commons Attribution License
(http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in
any medium, provided the original work is properly cited
33. Pilitsi E, Farr OM, Polyzos SA, Perakakis N, Nolen-Doerr E, Papathanasiou AE, Mantzoros CS.
Pharmacotherapy of obesity: available medications and drugs under investigation. Metabolism. 2019 Mar
1;92:170-92.
34. Cavero-Redondo I, Martinez-Vizcaino V, Fernandez-Rodriguez R, Saz-Lara A, Pascual-Morena C,
Álvarez-Bueno C. Effect of behavioral weight management interventions using lifestyle mHealth self-
monitoring on weight loss: a systematic review and meta-analysis. Nutrients. 2020 Jul 3;12(7):1977.
35. Lee Y, Lee NY, Lim HJ, Sung S. Weight reduction interventions using digital health for employees with
obesity: a systematic review. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy. 2022 Jan
1:3121-31.
36. Chatterjee A, Prinz A, Gerdes M, Martinez S. Digital interventions on healthy lifestyle management:
systematic review. Journal of medical Internet research. 2021 Nov 17;23(11):e26931.
37. Faruqi N, Spooner C, Joshi C, Lloyd J, Dennis S, Stocks N, Taggart J, Harris MF. Primary health care-
level interventions targeting health literacy and their effect on weight loss: a systematic review. BMC
obesity. 2015 Feb 17;2(1):6.
CITE AS: Ernest Nsubuga (2025). Narrative Review of Lifestyle Interventions in Obesity. IDOSR
JOURNAL OF EXPERIMENTAL SCIENCES 11(3): 79-89.
https://doi.org/10.59298/IDOSR/JES/113.7989

Narrative Review of Lifestyle Interventions in Obesity (www.kiu.ac.ug)

  • 1.
    www.idosr.org Ernest, 2025 79 Thisis an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited International Digital Organization for Scientific Research IDOSRJES11300000 IDOSR JOURNAL OF EXPERIMENTAL SCIENCES 11(3): 79-89, 2025. https://doi.org/10.59298/IDOSR/JES/113.7989 Narrative Review of Lifestyle Interventions in Obesity Ernest Nsubuga Department of Clinical Pharmacy Kampala International University Uganda Email: ernest.nsubuga@studwc.kiu.ac.ug ABSTRACT Obesity remains one of the most pressing global public health challenges, requiring multifaceted strategies for effective prevention and long-term management. This narrative review examines key lifestyle interventions, including structured weight management programs, personalized nutrition and activity plans, relapse prevention, and the integration of digital health technologies. Evidence indicates that behavioral treatment combining diet, physical activity, and cognitive-behavioral therapy achieves clinically meaningful weight reduction of 7 to 10% over 16 to 26 weeks, particularly when delivered with high intensity and professional support. Personalized interventions supported by machine learning and eHealth tools enhance adherence by tailoring dietary and activity goals to individual needs. Long-term success depends on relapse-prevention strategies emphasizing self- monitoring, coping mechanisms, and cognitive restructuring. Implementation in primary care and community settings can strengthen population-level outcomes, while integration with pharmacotherapy and bariatric care offers comprehensive management for individuals with severe obesity. Challenges persist in ensuring equity, accessibility, cultural adaptation, and cost-effectiveness, particularly in resource-constrained contexts. Digital innovations and collective lifestyle environments show promise for sustaining behavioral change, but sustained political and institutional commitment is required. Overall, the review underscores that lifestyle interventions are the cornerstone of obesity management, and their long-term success hinges on individualized, culturally sensitive, and technologically integrated approaches supported by public health systems. Keywords: Lifestyle interventions, Obesity management, Behavioral modification, personalized nutrition, physical activity and Digital health innovation. INTRODUCTION The increasing prevalence of obesity and its many associated comorbidities, including cardiovascular disease, Type 2 diabetes, and several cancers, remains a major public health concern [1, 4]. A growing body of evidence confirms that lifestyle interventions incorporating dietary changes and physical activity can support weight management. These elements of weight management programs are now widely accessible and form the basis for many specialist obesity services [1]. However, some healthcare professionals question whether these lifestyle changes are sufficient to help people with obesity lose and maintain a lower weight without clinical interventions [3]. Lifestyle changes can meet the definition of “what people do to achieve or maintain a healthy weight, including diet, physical activity, and behavioural change.” Evidence-based lifestyle changes for adults with obesity receiving care from family doctors, dietitians, nurse practitioners, registered nurses or other trained providers may include education, material support and other guidance on healthy diet, food behaviour, physical activity and health behavior[5]. Increasing numbers of primary-care providers, dietitians, and lifestyle coaches are now supporting patients with obesity in combining these approaches or scaling up their use [4]. Our lifestyles eating a variety of foods including a lot of energy-dense foods with high levels of fat and sugars, being physically inactive and sedentary in our daily life, and smoking tobacco, among other risk factors have resulted in excessive weight gain for many of us, particularly at times when the energy we consume is greater than the energy we expend. NW ©IDOSR PUBLICATIONS ISSN: 2579-0781
  • 2.
    www.idosr.org Ernest, 2025 80 Thisis an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited of the table states: “Lifestyle coaching is designed to help participants set and achieve goals in diet, exercise and weight, and to improve their health, mood, and energy levels [2].” Scope and Definitions Obesity is generally defined as excessive fat accumulation, a condition that has recently been regarded as a chronic disease by the World Health Organisation [1, 2]. The fundamental contributing components for classifying obesity are body mass index (BMI) and waist circumference. If these two sometimes seem inconsistent, the consensus is to use BMI as a valid indicator [19]. Several countries, including the US and Canada, have additional classifications based on waist circumference and waist-to-hip ratio. However, waist circumference alone cannot always be used for obesity classification since the differences in body shapes in the population [20]. Therefore, visceral fat area (VFA) (commonly assessed using CT and MRI) is an equally important indicator to be clarified before deciding on treatment and prevention measures. In order to define the inclusion and exclusion criteria for the present review, the key term, i.e. obesity, was selected. Obesity has normally been separated into at least three grades according to BMI values: grade I (30 ≤ BMI < 35 kg/m²), grade II (35 ≤ BMI < 40 kg/m²), and grade III (BMI ≥ 40 kg/m²; class II or II obesity). The firm global public health warning must be raised for overweight (25 ≤ BMI < 30 kg/m²) as well because overweight individuals tend to become mildly obese in just several years without supportive individual action [24]. Thus, all the individuals that fall into grade III or class II obesity were targeted for conducting systematic review; at least one of the intervention items for behavioural modification of lifestyle must be incorporated in studies [25]. Behavioural modification for lifestyle includes education on modifying activities or nutrition regarding obesity, movement or exercise prescribed for some time interval, supporting physical attendance or mutual conversation, keeping record for consumed foods or activities, use of internet intervention for multi communications beside normal home visit, and any other action to modify one’s personal lifestyle[27]. As a note, novelty in the present study discourages the inclusion of reports labelled as intervention studies, modelling studies on health statistics under situations composed from surveys, or any other studies without independent original outcome results which have precedent publication decades ago[28]. Epidemiology and Clinical Significance Obesity is a major public health concern worldwide. Its prevalence has steadily increased since the 1980s, with more than 800 million adults with obesity or severe obesity estimated globally (2017) [1]. The World Health Organization (WHO) recognizes obesity as an epidemic, with a dramatic rise in overweight and obesity reported across all regions. In 2018, more than 1.9 billion adults were overweight, of whom over 650 million were classified with obesity, and an estimated 39 million children under the age of 5 were overweight or obese[2]. Obesity is a complex disease with many causes, resulting from a complex interaction of various biological, behavioral, and environmental factors [18]. Obese people have a higher risk of developing dangerous cardiovascular diseases and metabolic disorders [7]. Obesity significantly increases disability-adjusted life years (DALYs), mortality, and total healthcare costs. Weight management through lifestyle interventions has attained clinical importance due to rising obesity rates and its relationship with cardiovascular risk factors and various metabolic disorders, including type two diabetes [10]. The American Heart Association considers obesity a modifiable risk factor for cardiovascular disease. Consequently, a wide range of interventions focusing on diet, physical activity, and behavioral medications, and/or behavioral therapy have been explored, and many studies have aimed to summarize the evidence [13]. However, despite the availability of effective clinical management strategies for obesity, these strategies have not yet succeeded in curbing the epidemic globally [20]. Objectives and Methodology of the Narrative Review A narrative review is presented to identify and synthesize data concerning lifestyle interventions conducted with overweight/obese subjects, individuals allocated to non-intervention or wait-list control groups, or following only educational dietary advice are excluded [13]. The review focuses on key objectives of effective intervention programming (weight reduction, weight maintenance, improvement of dietary habits, increased physical activity, reduction of alcohol intake, and smoking cessation), and those elements in the activity profile of the interventionists that are established to be positively related to successful intervention outcomes[16]. The review starts with the frequency of occurrence of each of the above aspects in the lifestyle intervention literature, revealing that weight reduction remains the primary objective of most programs [12]. Reasons for this emphasis are discussed, along with the effects of various intervention components (e.g. formal social support, number of contacts, and length of follow-up) [17]. Certain gaps (e.g. limited information on weight maintenance) and practical implications (e.g. the currently unsatisfactory results from efforts to induce positive changes of habitual alcohol intake and smoking, and the possible merits of improving physical activity) are highlighted [18]. Dietary Interventions In 1997, the World Health Organization recognized obesity as a global epidemic that is on the rise, affecting more than 1.8 billion adults worldwide. Obesity is defined as an excess of body fat, which can be an indicator of body
  • 3.
    www.idosr.org Ernest, 2025 81 Thisis an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited weight [13]. The presence of excess fat in the human body can result from over-eating, sedentary lifestyle, and genetic predisposition. Classifications of obesity are determined using body mass index (BMI), which is calculated by dividing an individual’s body mass in kilograms by the square of their height in meters (kg.m-2)[7]. The World Health Organization has classified obesity into three categories according to the following BMI index: overweight (BMI > 24.9), obesity class I (BMI > 29.9, ≤34.9), obesity class II (BMI > 34.9, ≤ 39.9), and obesity class III (BMI ≥ 40). It has been reported that in 2008, 35 percent of adults aged ≥ 20 years old in the USA were classified as overweight, 33.8 percent as class I, 6.5 percent as class II, and 6.6 percent as class III [9]. Among the many diseases, obesity is considered the main cornerstone of cardiovascular-related maladies. Excess fat raises the risk for coronary heart disease, hypertension, and stroke, mainly due to increased metabolism and blood circulation [19]. The excess fat forces the heart to pump harder than normal while elevating thought processes, which shortens one’s life expectancy [17]. Extreme obesity significantly damages the body such that only a few survivors after ages 70 to 80 are known. Obesity is a serious health risk and can be considered the highest risk factor for human sickness and death [15]. According to the annual report and findings made by the National Institute of Health, Mode of Life Programs (MOLP) has made significant progress in decreasing the alarming records of obesity. It has been noted that in a survey conducted in USA from 2007 to 2012, among the overall population, 12 percent are classified as class II and 9 percent as class III obesity governing the 25–45 age-group [11]. Dietary Patterns and Calorie Restriction Dietary patterns at least as commonly practiced fail to fall under lifestyle modifications impacting obesity, despite significant weight loss and other cardiovascular/metabolic risk factors being consistently documented [3]. The same is true for traditional calorie-restriction approaches, which specify daily or weekly allotments [4]. Throughout diet-regimen completion, metabolic improvements persist; however, adherence proves challenging. Whether through formal or self-directed structures, extensive rebounding is typical after cessation, even observations like improved insulin sensitivity do not transfer into the post-diet phase [5]. Macronutrient Composition and Meal Timing The body retains a clear memory of the amount of food ingested the day before, which fine-tunes appetite for the next[6]. The reduction of food intake is more effective when previous intake is taken into consideration than a standard calorie count [28]. To lose body weight, individuals tend to reduce the number of calories consumed or regulate the wide variety of food options available [16]. A new model is introduced to generate an environment where individuals are more likely to consume lower amounts and variety [5]. The menu patterns are analyzed based on the feedback information from day-to-day food choices, to provide limited amounts of substitute foods, on top of the less attractive foods to avoid boredom [28]. It generates selections that lead to a served meal count smaller than the norm, and inhibits an overabundance of food so those served portions are importantly all the same kind. Users can switch between low-calorie and low-variety depending on personal attitude [16, 27]. By adjusting the tension of food intake against internal or external one, users can strive for losing weight by forming communications about food selections [15]. Behavioral Strategies within Dietetic Programs Efficient and successful management of obesity involves multiple treatment strategies, including behavior modification [8]. Behavioral strategies encompass stress management, cognitive restructuring, self-monitoring, social support, and stimulus control. Behavioral interventions in obesity management focus on structured methods to improve lifestyle habits like exercise and diet [19]. The lack of a comprehensive understanding of behavioral interventions in obesity management remains a significant gap, especially in low-income and middle-income countries [28]. Exploring methods guided by recommendations from reputable organizations and those beyond existing guidelines can offer further insights into obesity intervention [27]. Comparisons of Popular Diets and Long-Term Adherence Many popular diets have not been tested in clinical trials, making it difficult to assess their maintenance and adherence [14]. The Physiological Effects of Popular Diets Commonly Used for Weight Loss: A Review lists brief overviews of popular diets and physiology of weight loss. Diets receiving the strongest evidence for long-term maintenance and adherence include the Atkins and Paleolithic diets [8]. These diets allow for a limited range of food selection at energy requirements below maintenance levels while striving for palatability and a broad macronutrient balance [15]. Maintenance with satisfactory adherence typically remains around 10–20% above the weight attained after an initial active period of 15 weeks to 2 years [6]. Physical Activity and Sedentary Behavior Physical activity (PA) and sedentary behavior (SB) have become increasingly recognized as important factors in the obesity pandemic, with several objective and subjective monitoring studies establishing an association between these lifestyle behaviors and obesity across all age groups [2]. Since social and environmental changes have
  • 4.
    www.idosr.org Ernest, 2025 82 Thisis an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited considerably modified the nature and pattern of activities performed during childhood and adolescence over recent decades, there is growing interest in examining the role of these lifestyle behaviors in the childhood obesity epidemic [4]. Cochrane reviews have consistently demonstrated that lifestyle interventions including elements of PA and SB reduce body weight and body mass index, in addition to modulating cardiometabolic risk factors in overweight and obese populations [3]. Although sedentary time interventions alone are effective in reducing sedentary time, when PA time is the primary objective, a concurrent treatment target on SB does not confer additional benefits. Given PA’s prominent role in modulating obesity and cardiometabolic factors, it is worth exploring its intervention and treatment independently from SB [6]. The PA literature focuses largely on the adult population, with some embellishments on obesity treatment in the child and adolescent population, and thus, the review is supplemented by several large meta-analyses. Important components of the PA intervention strategy with proven effectiveness include the use of physical activity monitors and pedometers, and a variety of behavioral change techniques like self-monitoring, goal setting, prompts, social support, and face-to-face contacts [7]. The child and adolescent population is complemented by similarly substantial reviews and meta-analyses [1]. As a prominent lifestyle factor modulating obesity and the associated cardiometabolic risk, physical activity is examined separately from sedentary behavior interventions, yet sedentary behavior does influence physical activity and is therefore addressed [3]. As previously noted in the epidemiological and burden section and again in the subsequent discussion on cardiovascular and metabolic risk, obesity is a prominent risk factor compromising cardiovascular and metabolic health [23]. Aerobic, Resistance, and Combined Training Feasible guidelines to facilitate weight loss and its maintenance are urgently needed [6]. Obesity is associated with chronic diseases, particularly of the cardiovascular and metabolic systems, which energize interests in related interventions [5]. Biomarker, functional, and health-related quality-of-life outcomes are needed in addition to body-weight or body-composition measures to assist in understanding the burdens caused by the underlying obesity and the impact of associated treatments [1]. Aerobic exercise is implicated in weight-loss interventions [18]. Nevertheless, the link between moderate-intensity aerobic exercise and weekly energy expenditure is weak, with a mere 200 kcal/week accounting for much variance [17]. Resistance exercise does not help in achieving related interventions but appears to bring unique benefits that are substantial on their own [8]. Combining both exercise modalities is associated with better weight-control and fat-loss outcomes relative to the estimated energy- expenditure increase, an auxiliary component that can, in an engineered fashion, augment the intervention and will not hurt people who cannot or will not comply with either aerobic or weight-training exercise [8]. Dose-Response and Adherence Factors The dose-response relationship is well-studied in many other areas of public health, but the concept deserves more consideration in behavioural interventions for obesity. Calling programs “low,” “medium,” or “high” intensity is seductive, but does little to quantify exposure [10]. Variations in the precise nature of behaviours targeted, the modes used to deliver them, and the timing of these measures are all important determinants of the overall dose and frequently differ across interventions[7]. Sometimes, the amount of behavioural change achieved is tailored to the individual [9]. A range of parameters have been identified as potential correlates of adherence to lifestyle interventions, including program length, degree of dietary prescription, level of support, the balance between diet and activity, training of facilitators, programme structure, and the number and type of individual contacts [10]. Impact on Weight, Metabolic Health, and Cardiovascular Risk The impact of lifestyle interventions on weight, metabolic health indicators, and cardiovascular risk factors in high-risk populations remains poorly defined, despite the increasing prevalence of obesity that carries significant risk [11]. Cardiovascular diseases are largely preventable but require knowledge of risk assessment methods [12]. A thorough review of diverse databases sought to compare the effectiveness of weight-maintenance or weight-neutral lifestyle interventions against either other interventions or usual care on weight and cardiometabolic risk measures [15]. The inclusion criteria adopted emphasized the necessity of a population with a high burden of obesity and cardiovascular disease; the modifications did not fully remove the terminology “weight- for-age”; the term “weight-neutral” was stated to maintain adherence to the more formal guidelines [13]. Numerous improvements to cardiorespiratory fitness, blood glucose parameters, and inflammatory indicators might result from lifestyle changes without the specific target of weight loss; even with the consequent body- weight decrease in some instances, these advances still develop and persist without subsequent changes in body mass [1]. Lifestyle Counseling and Behavioral Therapies Lifestyle counseling and behavioral therapies are treatment modalities aimed at achieving patients’ long-term lifestyle changes. The main target is obesity reduction [9]. These lifestyle changes can be achieved by behavioral therapies or even by simple and short counseling sessions. Lifestyle counseling refers to short interventions that
  • 5.
    www.idosr.org Ernest, 2025 83 Thisis an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited may be offered by a health professional who is not a specialist (non-physician). Examples of behavioral therapy include cognitive-behavioral therapy and motivational interviewing [23]. It is important to indicate that only studies offering a minimum intervention for a certain amount of time are included in this analysis. Therefore, studies without any substantial intervention and behavioral therapies regarding physical activity and dietary change are excluded [5]. In addition, studies whose results rely on appetite control medications, regardless of its popularity or effectiveness, are also excluded from this analysis [22]. Behavioral treatments emphasize self- directed management and personal responsibility for regulating eating and related sedentary behaviors. These treatment modalities aim to improve mood and self-efficacy and to develop self-regulation skills, including monitoring and controlling intake, governed by explicit learning [21]. The ingredients of successful behavioral weight management programs are: a multicomponent approach; regular assessment and support to promote continued self-monitoring and behavior change; and attention to the relationship of physical activity and eating with affect [6]. Motivational Interviewing and Goal Setting Motivational Interviewing (MI) aims to enhance intrinsic motivation and foster commitment to change by exploring and overcoming ambivalence in persons considering, or already in, the transtheoretical process of making a lifestyle change. Based on the homology of patient-centered psychotherapy and non-directive teaching, MI was developed with the intent to mitigate an oppressive and system-affirmative culture through decidedly permissive and open-ended interventions [12]. MI reframes “sustaining talk” as lack of readiness rather than lack of will or malfeasance; preserves the patient control to choose, acknowledge, and, if desired, act on the right for personal decisions and autodirection; and permits expression of any idea, wish, disappointment, or concept in a non-judgmental space [13]. MI in weight management and the partnering of MI with goal-setting procedures strengthens the social convergence necessary for extensive consultation [5]. Each deeply felt resolution enacts even without formal progression through the states of change, layering atop pre-existing cycles. MI raises readiness to change dietary and physical activity practices, boosts goal-setting processes, and motivates sizeable knowledge and pre-action changes, among other favourable shifts [8]. The theory of MI posits the influence of forwarded client language (ie, change “talk”) as a critical condition of success, proactively seeking elaboration of why and how, and employing these catalysts to activate subsequent phases of readiness and action [14]. Exercises introduced introduce conceptual readiness concepts and articulate session-based relationships. Intervention studies reveal that support for participant-centred initiation cycles enhances exploratory active “persistence” elaboration of both pre- and post-action features, specification of in-depth descriptions of goal-control elements such as when, where, and with whom, and delineation of precise action-intent sharing upon attaining ambitious initial attainment, missed-deviation-status-control, reflection and feedback-building[15]. Conventional goal-support scheming, narrowly identifying intention along a single dimension and ill-aimed functional comprehension, lead to scope-fixation setting and tendency toward turn-off satisfaction on although early conceptualisation occurs. Personalised anticipation of process alignment and permitting incorporation of knowledge and understanding specific intervenees favour augmentation [16] Self-Monitoring, Feedback, and Digital Tools Self-monitoring, feedback, and digital tools can increase the awareness and understanding of behaviors that influence weight [4, 5]. Self-monitoring of health behaviors (e.g., food intake, physical activity level, body weight, and physiological measurements) may enhance individuals’ awareness of their own health behaviors, thereby increasing their knowledge and providing opportunities for self-evaluation [29]. Digital tools, such as dietary and activity monitoring apps, allow users to track and monitor food intake, physical activities, sedentary behaviors, sleep, and other lifestyle factors [30]. Tools that allow users to upload and share self-monitored health behaviors with individuals, families, or groups facilitate social feedback and may influence participants’ perceptions and understanding of the monitored health behaviors [15]. In obesity intervention, remotely applied self-monitoring tools of dietary intake and tailored feedback have been found to be feasible and effective in changing dietary behavior. Mobile applications are commonly used, allowing dietary self-monitoring and personal feedback to be applied and structured at users’ own convenience [12]. Effectiveness of dietary self-monitoring is significantly influenced by adherence [10, 7]. Self-monitoring tools including paper records, spreadsheets, and mobile applications showed comparable effectiveness on dietary-adjustment outcomes, but the design, usability, cost, and management of diet-related mobile applications is still a major practical consideration in diet programs [16]. Family, Social, and Environmental Influences Despite decades of effort, achieving lasting weight loss remains a significant challenge; this is likely to be due in part to the complex interplay of family structure, social environment, and physical environment [9]. Evidence suggests, for example, that adolescents whose families eat together more than four times a week have a lower risk of being overweight or obese [17]. Popular culture engages in narratives about the impacts of social environment
  • 6.
    www.idosr.org Ernest, 2025 84 Thisis an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited on weight (who one eats with, where one eats, routines related to drinking, etc.), which may inhibit efforts to develop evidence-based interventions in comprehensive conceptualizations [15]. Young children experience rapid weight gain (BMI z-score increase) from ages two to six, suggesting an opportunity for early intervention. Though heavy-infant and heavy-parent area-wide policies are fundamental, community-wide programs that can promote family-centered solutions may be impactful, particularly if social-routine narratives about eating, drinking, and social-network mobility are embedded [18]. High-income communities offer organized sporting, exercise, learning, and play opportunities, while low-income neighborhoods provide minimally perceptible access. Community-oriented, multi-sponsor lifestyle-modification programs addressing high-need areas such as access to affordable healthful food, physical activity, safe recreation, and family-wide health may stimulate economies via inward migration of healthier residents [15]. Multi-Component and Individualized Programs Long-term lifestyle interventions to promote increased physical activity are effective in improving anthropometric and cardiometabolic markers in class II and III obesity, provided they can be maintained [2]. These large-volume, multi-component programs require strategic planning, not only of content but also of adherence factors that help achieve and sustain long-term compliance [6]. Barriers to participation and completion must be understood, addressed, and continuously evaluated because they evolve as the intervention progresses [7]. The proposed ‘Stages towards Completion Model’, a theoretical framework developed to map journeys, both individual and collective, through complex programs, could offer useful insights into the factors related to lifestyle interventions for obesity[ 1, 18, 2]. Structured Weight Management Programs Structured weight management programs (SWMPs) in adults with obesity primarily include dietary and physical activity components and are supplemented with photovoice and counseling [13]. They often use a multi-faceted approach including the skills, knowledge, and practical steps required to sustain a healthier lifestyle. Increased participation in lifestyle behaviours is commonly reported, but evidence of sustained behaviour change or increased motivation is lacking [12]. Despite this, SWMPs appear favoured over minimal or standard care, particularly for those with waist circumference greater than 88cm for women and 102cm for men [2]. Behavioural treatment for obesity, a combination of diet, physical activity, and behaviour therapy, is regarded the cornerstone of weight management for overweight and obese adults [2]. This method employs strategies such as goal setting and record keeping to enable individuals to reduce their caloric intake by around 500 to 1,000 kcal daily, principally via decreased portion sizes, snacking, and the consumption of high-fat, high-sugar foods, while simultaneously encouraging exercise for at least 30 minutes on most days[11]. Weekly group or individual sessions led by registered dietitians, psychologists, or exercise specialists typically achieve average weight loss of around 7 to 10% over 16 to 26 weeks [3]. A systematic review shows high-intensity behavioural interventions, those featuring more than once-a-month face-to-face contact in the first three months, to be more effective: participants attain weight losses of 4 to 7 kg compared with those receiving the minimum required. The most substantial losses emerge from randomised controlled trials conducted in academic medical centres by experienced interventionists delivering weekly treatment [2, 19]. Personalized Nutrition and Activity Plans Personalized nutrition and personalized physical activity represent two interconnected strategies that can improve dietary patterns or increase physical activity [27]. Personalized nutrition encompasses a wide range of approaches, often combining multiple modalities. Both can help close the gap between recommended and actual dietary or physical activity patterns, and they are already integrated into some eHealth and mHealth interventions targeting obesity [3]. Personalized nutrition interventions often rely on dietary assessment and feedback systems, which typically include a discussion of national or international dietary guidelines [1, 20]. Statistical or computational systems and machine learning account for individual differences in nutritional needs: these systems make food recommendations based on the nutritional requirement profile of individual users and the nutrient contents of the food consumed [23]. Goal-setting aids in food selection based on personalized nutrition needs for macronutrient intake and prevention of chronic diseases [22]. The advice may include special suggestions or considerations such as weight reduction goals, meal preparation time, reduced intake of added sugar and fat, and food intolerance [21]. The first step comprises a food dataset, which might be obtained from the food database of relevant apps. Natural language processing techniques can then extract data from free-form input [1]. Maintenance Strategies and Relapse Prevention Correctly managing relapse-inducing situations is vital for long-term obesity treatment success [24]. The following are useful strategies: identify situations that provoke overeating/physical inactivity, develop a plan to counteract the effect of these situations on behavior, categorize plans as practical, cognitive, or relaxed practice, be specific in planning, and re-evaluate plans regularly and strengthen them if possible[27]. Using these strategies
  • 7.
    www.idosr.org Ernest, 2025 85 Thisis an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited can help people with obesity avoid risky situations or prepare for them effectively [23]. A heightened willingness to reach one’s goals despite the temptation of immoderate food intake significantly predicts lower weight regain after weight loss. Overweight and obese participants benefit from learning to identify temptation situations, plans for avoiding them, and plans for handling them if they cannot be avoided [25]. Continuous self-monitoring of the size of the depletion zone can help with that [20]. Identifying situations that provoke disinhibited eating and relapse can help prevent actual relapse, but participants often overestimate the amount of food they will be able to resist in critical situations [25]. Therefore, it is useful to supplement the identification and monitoring of disinhibited-eating situations with a detailed analysis of actual relapse incidents [19]. By analyzing the circumstances of earlier relapse incidents, participants can discover managing strategies that were previously neglected [16]. Clinical and Public Health Implications The transition from personal self-management of obesity to promotion of collective lifestyle for weight control involves the adoption of strong social norms, practices, and physical spaces where people care and encourage people who have the motivational skill to adhere with respect for their confidentiality [20]. People needing encouragement require support that cares and respects [14]. Promoting the reduction of stressful air pollution and noise enhances pleasant socialization spaces for weight control [19].VCollective cohabitation has increasing potential to provoke interaction across the curriculum accommodating different lifestyles [1]. Promoting attractive socialization location for gathering to foster making entertaining voluntary co-participated co- formulation openness model for interactive compilation could help more general population through adopting a co-smart co-space [13]. Expansion of collective housing co-occupying traditional privacy space yet stimulating conviviality could take number of density and potential stimulation channel of building interactive lifestyle node [14]. Implementation in Primary Care Restricted access to clinical services and the increasing burden of obesity paradoxically create favourable conditions for promoting weight management in primary care [11]. A pragmatic implementation framework adapted from the World Health Organization supports health workers across three levels of delivery intensity. At level 1 specifically targeted interventions and rigorous delivery activities are driven by settings outside the health system (for example, educational authorities) in collaboration with key community stakeholders; these include motivational health talks to adolescents in schools for primary prevention [12]. At level 2non-specialized inclusive services in supportive environments weight management is integrated into sexual and reproductive health services for all adults, and mothers are offered support to maintain normal weight before and after pregnancy [6]. At level 3 full management by specialized setting-based services that comprehensively manage complex co-morbid conditions, including obesity dedicated programs target adults with class II obesity and/or high cardiometabolic risk associated with obesity [10]. Narrative reviews of clinical evidence are analyzed to assess fidelity to treatment principles and evidence base for standard operating procedures within the level 1 framework. The 14 in-depth studies report on supervised acute interventions of ≥3 months and ≤12 months with either face-to-face support or a mobile phone app and no pharmacological adjuncts [11]. With outcomes expressed as percentage weight change or excess weight loss, the device-assisted trials align with treatments combining dietary and physical activity advice within a graduated step approach and operationalizing “eat less” with calorie counting and “move more” with aerobic guideline adherence [17]. Cost-Effectiveness and Resource Utilization Few lifestyle obesity interventions that are predominantly behavioral, theoretically grounded, and rigorously evaluated domestically have been identified that target multiple Canada Food Guide elements [14]. One exception is the shape up program, which limits participants to unprocessed foods, emphasises regular exercise, and encourages enhanced social connections [21]. Combining imparted influential knowledge regarding healthy eating, exercise, and lifestyle habits while promoting active societal encouragement of these principles retains the potential to convert latent awareness of obesity-related problems into a proactive population-wide program. Behavioural reinforcement through customer-loyalty card applications offers individuals the convenience of effortlessly measuring community involvement and personal achievement [2]. Barrier-laden nutritional exercises can be countered with extra promotion of easily sourced substitutes thereby propelling joint consumption dynamics through driven populaces.uniformly through superficial community lighting [7]. Augmenting acceptance mitigates early-stage risks among environment-exposed gatherings or neighbourhoods plagued with absorptive multi-form community exposure [10]. Equity, Accessibility, and Cultural Adaptation Lifestyle changes that involve dietary intake or physical activity are effective treatments for obesity [4]. However, barriers persist that are aggravated by societal issues including socio-economic status, ethnicity, or race [22].
  • 8.
    www.idosr.org Ernest, 2025 86 Thisis an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited Cultural adaptation is an appropriate means to promote engagement in the lifestyle changes needed to achieve a weight-loss goal [23]. Adaptation maintains adherence to traditional cultural values while increasing the motivation for the desired behaviors [30]. Gaps in Evidence and Future Directions Despite the growing evidence base, research examining the effects of lifestyle interventions in obesity remains limited [25]. This article highlights the key gaps in knowledge and suggests directions for future study to build upon the existing groundwork. One crucial question is the durability of these interventions and their ability to promote sustained weight loss over extended periods [1]. Another important area for further study is the impact of different intervention modalities, including mass media engagement, community-based outreach, and online delivery through digital platforms [24]. Research should also investigate the effectiveness of lifestyle measures in addressing obesity during pregnancy and the postpartum period, when many women find it particularly challenging to return to pre-pregnancy body weight [21]. Continued scientific inquiry is needed into the weight- loss benefits provided by lifestyle interventions targeting specific minority groups and those experiencing socioeconomic disadvantage [28]. Although some studies attest to the feasibility and effectiveness of such initiatives, demonstrating positive change in weight and associated health indicators lasting several months or years, further investigation to enhance understanding of the impact of these interventions is warranted [26]. Disparities in weight status associated with ethnicity, culture, and low socioeconomic status continue to be well documented; policy engagement and clinical research should respond by promoting the avenues for weight-control strategy evaluation in these settings that could refine and adapt resources to improve their acceptability and effectiveness [16]. Long-Term Effectiveness and Sustainability Participants who lose weight through lifestyle behaviour modification must maintain the new weight to realise any health benefits. Thus, weight loss is only one aspect of long-term efficacy [14]. Some indicate that individuals regain weight after behaviour modification [25]. Others suggest the majority maintain some weight loss post- intervention [2]. Previous systematic reviews addressed the effectiveness of lifestyle interventions on short-term (up to 12 weeks) weight loss but a need exists for an overview of long-term (greater than 52 weeks) follow-up effects of lifestyle interventions on weight loss and maintenance [12]. Integration with Pharmacotherapy and Bariatric Care Weight-management pharmacotherapies may assist individuals striving to achieve and sustain weight loss via lifestyle regression [26]. Pharmacotherapy may be considered for individuals with specific Body Mass Index (BMI) cut-offs (on the basis of guidelines issued by Diabetes Canada), following insufficient weight reduction or weight regaining after extensive lifestyle interventions supported by behavioural therapy[18]. This section portrays pharmacotherapy as either an adjunct or alternative to intervention-based treatments, allowing a broader evaluation of lifestyle-engagement models [11]. Surgical options have shown long-term weight-management success. Canada has long waiting times and limited access for weight-management surgical alternatives. Hence, lifestyle engagement obtains particular attention in jurisdictions with limited surgical availability [19]. Engagement with lifestyle interventions supplies third-party funding for weight-management surgery when certain BMI increment thresholds buoy pharmacotherapeutic options as adjuncts. Role of Technology and Digital Health Innovations Lifestyle interventions promoting behavior modifications such as healthier eating and physical activity can help prevent obesity and comorbidities. However, the behavior-focused approaches employed in many interventions are often inconsistent and ambiguous [27]. E-health or digital health refers to a broad range of services and systems that use portable devices for health improvement. Digital interventions such as mobile applications, websites, device-based self-monitoring tools, text-messaging, and wearable devices have received increased attention as alternative platforms in obesity interventions [29]. Digital interventions mainly offer communication channels for health-related information and data exchanges among individuals, health care providers, and stakeholders 28. Promoting healthy diet, habits, and regular physical activity through digital health coaching can be effective for weight loss and obesity management [29]. Mobile-app focused lifestyle digital interventions for overweight and obese populations may support weight loss. Despite ubiquitous mobile phone use, pursuing obesity treatment has been challenging for many individuals. Digital health coaching has emerged as a promising approach to addressing common barriers [30-37]. CONCLUSION Lifestyle interventions represent the foundation of effective obesity prevention and treatment. The evidence consistently demonstrates that combining dietary modification, physical activity, and behavioral strategies yields clinically meaningful and sustainable weight loss outcomes. Structured weight management programs (SWMPs) remain the most effective non-pharmacological approach, particularly when delivered with frequent professional
  • 9.
    www.idosr.org Ernest, 2025 87 Thisis an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited contact and individualized support. Personalized nutrition and physical activity programs, increasingly guided by digital tools and artificial intelligence, enhance self-efficacy and adherence by aligning interventions with individual metabolic profiles, preferences, and lifestyles. Sustaining weight loss remains a critical challenge. Relapse-prevention strategies, such as identifying triggers, developing coping mechanisms, and continuous self- monitoring, are essential for maintaining long-term success. The integration of lifestyle interventions into primary care ensures continuity, while community and workplace programs promote social support and collective engagement. In parallel, digital health innovations, including mobile applications, wearable devices, and telehealth platforms, expand the reach of behavioral interventions and provide real-time feedback that reinforces accountability and motivation. Equity, accessibility, and cultural adaptation remain pivotal to maximizing the effectiveness of lifestyle interventions. Programs must consider socioeconomic and cultural contexts to ensure inclusivity and prevent widening health disparities. Moreover, coordinated policy action is required to align public health, primary care, and community initiatives. Although pharmacotherapy and bariatric surgery can complement lifestyle strategies, lasting success ultimately depends on the sustained adoption of healthier behaviors, supported by systemic changes in healthcare delivery, technology use, and social environments. The future of obesity management lies in integrating evidence-based lifestyle interventions with personalized digital and medical approaches to create adaptive, equitable, and sustainable systems that empower individuals and communities to achieve lifelong health. REFERENCES 1. Baillot A, Romain AJ, Boisvert-Vigneault K, Audet M, Baillargeon JP, Dionne IJ, Valiquette L, Chakra CN, Avignon A, Langlois MF. Effects of lifestyle interventions that include a physical activity component in class II and III obese individuals: a systematic review and meta-analysis. PLoS One. 2015 Apr 1;10(4):e0119017. 2. Hassan Y, Head V, Jacob D, Bachmann MO, Diu S, Ford J. Lifestyle interventions for weight loss in adults with severe obesity: a systematic review. Clinical obesity. 2016 Dec;6(6):395-403. 3. Yeung C, Shi IQ, Sung HK. Physiological Responses of Post-Dietary Effects: Lessons from Pre-Clinical and Clinical Studies. Metabolites. 2021 Jan 20;11(2):62. 4. Paul-Chima UO, Nneoma UC, Bulhan S. Metabolic immunobridge: Could adipose-derived extracellular vesicles be the missing link between obesity, autoimmunity, and drug-induced hepatotoxicity?. Medical Hypotheses. 2025 Sep 28:111776. 5. Janaswamy R, Yelne P. A narrative review on intermittent fasting as an approachable measure for weight reduction and obesity management. Cureus. 2022 Oct 17;14(10). 6. Rynders CA, Thomas EA, Zaman A, Pan Z, Catenacci VA, Melanson EL. Effectiveness of intermittent fasting and time-restricted feeding compared to continuous energy restriction for weight loss. Nutrients. 2019 Oct 14;11(10):2442. 7. Paul-Chima UO, Nnaemeka UM, Nneoma UC. Could dysbiosis of urban air microbiota be an overlooked contributor to pediatric asthma and neurodevelopmental disorders?. Medical Hypotheses. 2025 Sep 12:111758. 8. Washburn RA, Szabo AN, Lambourne K, Willis EA, Ptomey LT, Honas JJ, Herrmann SD, Donnelly JE. Does the method of weight loss effect long-term changes in weight, body composition or chronic disease risk factors in overweight or obese adults? A systematic review. PloS one. 2014 Oct 15;9(10):e109849. 9. Howlett N, Trivedi D, Troop NA, Chater AM. Are physical activity interventions for healthy inactive adults effective in promoting behavior change and maintenance, and which behavior change techniques are effective? A systematic review and meta-analysis. Translational behavioral medicine. 2019 Feb;9(1):147-57. 10. Lee DC, Brellenthin AG, Lanningham-Foster LM, Kohut ML, Li Y. Aerobic, resistance, or combined exercise training and cardiovascular risk profile in overweight or obese adults: the CardioRACE trial. European heart journal. 2024 Apr 1;45(13):1127-42. 11. Paul-Chima UO, Ogenyi FC, Ugwu CN, Nnaemeka UM. Gut Microbiota-Derived Metabolites as Early Biomarkers for Childhood Obesity: A Policy Commentary from Urban African Populations. Obesity Medicine. 2025 Sep 4:100641. 12. Singh N, Stewart RA, Benatar JR. Intensity and duration of lifestyle interventions for long-term weight loss and association with mortality: a meta-analysis of randomised trials. BMJ open. 2019 Aug 1;9(8):e029966. 13. Leung AW, Chan RS, Sea MM, Woo J. An overview of factors associated with adherence to lifestyle modification programs for weight management in adults. International journal of environmental research and public health. 2017 Aug;14(8):922.
  • 10.
    www.idosr.org Ernest, 2025 88 Thisis an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited 14. Maruthur NM, Gudzune K, Hutfless S, Fawole OA, Wilson RF, Lau BD, Anderson CA, Bleich SN, Segal J. Avoiding weight gain in cardiometabolic disease: a systematic review. Journal of obesity. 2014;2014(1):358919. 15. Ugwu CN, Ugwu OP, Alum EU, Eze VH, Basajja M, Ugwu JN, Ogenyi FC, Ejemot-Nwadiaro RI, Okon MB, Egba SI, Uti DE. Medical preparedness for bioterrorism and chemical warfare: A public health integration review. Medicine. 2025 May 2;104(18):e42289. 16. Pollak KI, Coffman CJ, Alexander SC, Manusov JR, Østbye T, Tulsky JA, Lyna P, Esoimeme I, Brouwer RJ, Dolor RJ. Predictors of weight loss communication in primary care encounters. Patient education and counseling. 2011 Dec 1;85(3):e175-82. 17. Leffingwell TR. Interventions and Health Behaviors. The health psychology handbook: Practical issues for the behavioral medicine specialist. 2003 Jun 18:42. 18. Copeland L, McNamara R, Kelson M, Simpson S. The development of a coding system to code planning talk within motivational interviewing. Patient Education and Counseling. 2017 Feb 1;100(2):313-9. 19. Du Y, Dennis B, Rhodes SL, Sia M, Ko J, Jiwani R, Wang J. Technology-assisted self-monitoring of lifestyle behaviors and health indicators in diabetes: qualitative study. JMIR diabetes. 2020 Aug 28;5(3):e21183. 20. Ugwu CN, Ugwu OP, Alum EU, Eze VH, Basajja M, Ugwu JN, Ogenyi FC, Ejemot-Nwadiaro RI, Okon MB, Egba SI, Uti DE. Sustainable development goals (SDGs) and resilient healthcare systems: Addressing medicine and public health challenges in conflict zones. Medicine. 2025 Feb 14;104(7):e41535. 21. Teasdale N, Elhussein A, Butcher F, Piernas C, Cowburn G, Hartmann-Boyce J, Saksena R, Scarborough P. Systematic review and meta-analysis of remotely delivered interventions using self-monitoring or tailored feedback to change dietary behavior. The American journal of clinical nutrition. 2018 Feb 1;107(2):247-56. 22. Arnason A, Langarica N, Dugas LR, Mora N, Luke A, Markossian T. Family-based lifestyle interventions: What makes them successful? A systematic literature review. Preventive Medicine Reports. 2021 Mar 1;21:101299. 23. Grootens-Wiegers P, van den Eynde E, Halberstadt J, Seidell JC, Dedding C. The ‘Stages towards Completion Model’: what helps and hinders children with overweight or obesity and their parents to be guided towards, adhere to and complete a group lifestyle intervention. International journal of qualitative studies on health and well-being. 2020 Jan 1;15(1):1735093. 24. Carvajal R, Wadden TA, Tsai AG, Peck K, Moran CH. Managing obesity in primary care practice: a narrative review. Annals of the New York Academy of Sciences. 2013 Apr;1281(1):191-206. 25. Shyam S, Lee KX, Tan AS, Khoo TA, Harikrishnan S, Lalani SA, Ramadas A. Effect of personalized nutrition on dietary, physical activity, and health outcomes: a systematic review of randomized trials. Nutrients. 2022 Oct 2;14(19):4104. 26. Edyedu I, Ugwu OP, Ugwu CN, Alum EU, Eze VH, Basajja M, Ugwu JN, Ogenyi FC, Ejemot-Nwadiaro RI, Okon MB, Egba SI. The role of pharmacological interventions in managing urological complications during pregnancy and childbirth: A review. Medicine. 2025 Feb 14;104(7):e41381. 27. Saha S, Gerdtham UG, Johansson P. Economic evaluation of lifestyle interventions for preventing diabetes and cardiovascular diseases. International journal of environmental research and public health. 2010 Aug;7(8):3150-95. 28. Saju R, Castellon-Lopez Y, Turk N, Moin T, Mangione CM, Norris KC, Vu A, Maranon R, Fu J, Cheng F, Duru OK. Differences in weight loss by race and ethnicity in the PRIDE trial: a qualitative analysis of participant perspectives. Journal of General Internal Medicine. 2022 Nov;37(14):3715-22. 29. Gonzalez G. Primary care interventions to reduce childhood obesity in Latino families. Journal of Pediatric Health Care. 2016 Sep 1;30(5):471-9. 30. Richardson AS, Chen C, Sturm R, Azhar G, Miles J, Larkin J, Motala A, Hempel S. Obesity prevention interventions and implications for energy balance in the United States and Mexico: a systematic review of the evidence and meta‐analysis. Obesity. 2019 Sep;27(9):1390-403. 31. Rotunda W, Rains C, Jacobs SR, Ng V, Lee R, Rutledge S, Jackson MC, Myers K. Weight loss in short- term interventions for physical activity and nutrition among adults with overweight or obesity: a systematic review and meta-analysis. Preventing chronic disease. 2024 Apr 4;21:E21. 32. Ongesa TN, Ugwu OP, Ugwu CN, Alum EU, Eze VH, Basajja M, Ugwu JN, Ogenyi FC, Okon MB, Ejemot-Nwadiaro RI. Optimizing emergency response systems in urban health crises: A project management approach to public health preparedness and response. Medicine. 2025 Jan 17;104(3):e41279.
  • 11.
    www.idosr.org Ernest, 2025 89 Thisis an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited 33. Pilitsi E, Farr OM, Polyzos SA, Perakakis N, Nolen-Doerr E, Papathanasiou AE, Mantzoros CS. Pharmacotherapy of obesity: available medications and drugs under investigation. Metabolism. 2019 Mar 1;92:170-92. 34. Cavero-Redondo I, Martinez-Vizcaino V, Fernandez-Rodriguez R, Saz-Lara A, Pascual-Morena C, Álvarez-Bueno C. Effect of behavioral weight management interventions using lifestyle mHealth self- monitoring on weight loss: a systematic review and meta-analysis. Nutrients. 2020 Jul 3;12(7):1977. 35. Lee Y, Lee NY, Lim HJ, Sung S. Weight reduction interventions using digital health for employees with obesity: a systematic review. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy. 2022 Jan 1:3121-31. 36. Chatterjee A, Prinz A, Gerdes M, Martinez S. Digital interventions on healthy lifestyle management: systematic review. Journal of medical Internet research. 2021 Nov 17;23(11):e26931. 37. Faruqi N, Spooner C, Joshi C, Lloyd J, Dennis S, Stocks N, Taggart J, Harris MF. Primary health care- level interventions targeting health literacy and their effect on weight loss: a systematic review. BMC obesity. 2015 Feb 17;2(1):6. CITE AS: Ernest Nsubuga (2025). Narrative Review of Lifestyle Interventions in Obesity. IDOSR JOURNAL OF EXPERIMENTAL SCIENCES 11(3): 79-89. https://doi.org/10.59298/IDOSR/JES/113.7989