IMAGINE Research Poser_TL_2016
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This document summarizes a study investigating the association between the Dietary Inflammatory Index (DII) and baseline lipid levels in participants of an ongoing inflammation management intervention study. The study found no significant differences in lipid levels (total cholesterol, triglycerides, HDL, LDL) between quartiles of the DII score at baseline. While the DII was not a predictor of lipid levels based on baseline data alone, future analyses of data collected throughout the ongoing study may reveal associations between changes in the DII and lipid levels after the anti-inflammatory lifestyle intervention.
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![The Inflammation Management Intervention: Associations between the
Dietary Inflammatory Index and Baseline Lipids
Taylor Lamia, Dr. Michael Wirth
South Carolina Statewide Cancer Prevention and Control Program, University of South Carolina
Introduction
Methods
Results Conclusions
An increasing amount of evidence links chronic
inflammation to nearly all chronic diseases with
diet being a strong modulator of chronic,
systemic inflammation. In order to analyze one’s
inflammatory potential, epidemiologists at the
University of South Carolina created the Dietary
Inflammatory Index (DII)TM
. “The goal in
creating the original DII in 2009 was to provide
a tool that could categorize individual’s diets on
a continuum from maximally anti-inflammatory
to maximally pro-inflammatory” (Shivappa, et al.
2014). It was hypothesized that higher (i.e., more
pro-inflammatory) baseline DII scores will be
associated with higher lipid levels (total
cholesterol, triglycerides, high [HDL] and low
[LDL] density lipoprotein) compared to those
with lower (i.e., more anti-inflammatory) DII
scores.
Study Population To assess reduction in
inflammation using the DII and other health
behaviors of middle-aged adults who are at risk for
chronic disease, the University of South Carolina
Cancer Prevention and Control Program developed
an inflammation management intervention study
that is a currently ongoing, non-randomized, two-
arm intervention study of 93 individuals (34
control; 59 intervention). The intervention is a
combination of efforts to reduce chronic
inflammation levels:
DII-based nutrition modifications
Physical activity management
Stress management
The intervention met weekly for 12 weeks and
monthly for the remaining 9 months. After the
12-week mark, participants are given access to the
web application where they are able to track dietary
information, receive feedback, obtain recipes and
be part of a discussion board if they chose. The
study has not completed yet. Linear mixed models
were used to estimate least square means of lipids
according to quartiles of the DII.
Only baseline data was used for this analysis.
It is hypothesized that once the study concludes
the data will show a decrease in inflammation
levels for the participants. This shows that
interventions with emphasis on a diet change
similar to vegan or vegetarian has potential to
positively decrease inflammation levels but are
not the only anti-inflammatory dietary patterns.
Based on this analysis, it could suggest that the
DII may not be a predictor of lipid levels in this
population at baseline only. However, data is
continuing to be collected and future analyses
will confirm whether the DII is associated with
changes in lipids and inflammation after a
healthy lifestyle intervention.
Objective
The overall objective of IMAGINE is to reduce
inflammation through an anti-inflammatory
diet, as measured by the DII, physical activity,
and stress reduction intervention. Considering
IMAGINE is still ongoing, the objective of this
specific project was to determine if the DII was
associated with baseline lipid levels. As shown in Table 1, males, particularly
participants younger in age, were more likely to
have a greater pro-inflammatory diet compared
to females. Caucasians tended to have a more
anti-inflammatory diet compared to African
Americans or those of other races. In Table 2,
many of the comparisons did not achieve
statistical significance most likely because of the
small sample size. There was no significant
difference in lipid levels between the DII
quartiles.
Acknowledgements
Thank you to Nicole Wodzinski, the Douglass
Project and the Douglass Alumni for funding and
supporting me to participate in a research
opportunity this summer. I would also like to
thank the entire faculty at the University of South
Carolina Cancer Prevention and Control
Program, especially my advisor, Dr. Michael
Wirth, for the opportunity to be a part of the
IMAGINE study this summer.
References
Shivappa, N., Steck, S. E., Hurley, T. G., Hussey,
J.
R., & Hébert, J. R. (2014). Designing and
developing a literature-derived, population-
based dietary inflammatory index. Public
Health Nutrition, 17(8), 1689–1696.
http://doi.org/10.1017/
S1368980013002115.
IMAGINE Study Application funded as a Small
Business Innovation Research Grant to Drs.
Michael Wirth and Nitin Shivappa, 2015.
Table 1: Main Variables According to Quartiles of the Dietary Inflammatory Index
Characteristic
Entire
Population
(n=93)
Q1 Q2 Q3 Q4 P-Value
Sex 0.42
Male 18 (19%) 2 (9%) 6 (27%) 4 (17%) 5 (23%)
Female 75 (81%) 21 (91%) 16 (73%) 19 (83%) 17 (77%)
Race 0.47
African American and Other 35 (38%) 9 (39%) 6 (27%) 8 (35%) 11 (50%)
White 58 (62%) 14 (61%) 16 (73%) 15 (65%) 11 (50%)
Education Level 0.34
High school completed with
some college
25 (27%) 9 (39%) 6 (27%) 5 (22%) 5 (23%)
College completed 36 (39%) 9 (39%) 6 (27%) 12 (52%) 7 (32%)
More than college completed 32 (34%) 5 (22%) 10 (45%) 6 (26%) 10 (45%)
Marital Status 0.82
Married/ Living with Partner 54 (58%) 16 (70%) 13 (59%) 11 (48%) 13 (59%)
Separated/ Widowed/
Divorced
18 (19%) 4 (17%) 4 (18%) 5 (22%) 5 (23%)
Never Married 21 (23%) 3 (13%) 5 (23%) 7 (30%) 4 (18%)
Smoking Status 0.27
Never 66 (71%) 14 (61%) 17 (77%) 14 (61%) 18 (82%)
Former or current 27 (29%) 9 (39%) 5 (23%) 9 (39%) 4 (18%)
CESD Score 0.26
< 16 82 (88%) 22 (96%) 21 (95%) 19 (83%) 18 (82%)
>= 16 11 (12%) 1 (4%) 1 (5%) 4 (17%) 4 (18%)
Continuous Measures Mean (SD) P-Value
Age (y) 46.8 (14.3) 53.0 (12.6) 46.0 (14.4) 48.5 (12.5) 38.9 (14.9) < 0.05
BMI (kg/m2
) 31.2 (7.1) 30.5 (6.1) 30.5 (5.1) 33.3 (7.7) 30.4 (9.3) 0.96
Table 2: Adjusted Mean Lipid Values by Dietary Inflammatory Index Quartiles
Lipids
DII
Q1 Q2 Q3 Q4 P-Value
TC (mg/dL) 189.5 (167.9) 188.9 (168.4) 183.1 (163.5) 183.5 (161.9) 0.66
Trigs (mg/dL) 214.1 (98.7) 110.0 (-0.04) 134.7 (29.4) 137.2 (21.4) 0.29
HDL (mg/dL) 51.9 (45.0) 56.3 (49.7) 53.1 (46.8) 52.5 (45.5) 0.90
LDL (mg/dL) 102.9 (84.8) 110.0 (93.1) 104.8 (88.1) 105.9 (88.0) 0.80](https://image.slidesharecdn.com/9cbe721e-9cde-436f-a776-da11994a8b9e-161027154547/85/IMAGINE-Research-Poser_TL_2016-1-320.jpg)
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Student Name: Christiana Bona.
Summary of Clinical Issue (200-250 words):
Childhood obesity is one of the problems that affect the United States and other developed economies. Obesity among children and youths is widely recognized as an issue that generates a lot of adverse health impacts. For instance, childhood obesity is a major indicator of future mental and physical health problems. In spite of the highest rates of childhood obesity in the country in the last three decades, obesity has been linked to other more serious health problems such as cardiovascular diseases and diabetes. As nurses and other health professionals continue to grapple with this problem, there are still no clear treatment approaches. Health professionals usually do not have a comprehensive guideline on where to manage the nearly one-third of their populations who present the medical care with obesity that coexists with other medical conditions and problems. Numerous treatment models have been proposed to address this rising public health concern. These approaches often include use of the traditional interventions such as pharmacological interventions. However, overemphasis on one treatment intervention may fail to generate the desired objectives. While the traditional strategies to obesity prevention and management have placed emphasis on medications, wider attention to other dimensions of treatment is necessary. Such treatment interventions may include the multi-tiered or holistic strategies that incorporate both pharmacological and non-pharmacological interventions. For instance, a wider focus should incorporate practices such as assessing the mental health impacts of obesity on the patients. Thus, a public health multi-tiered approach to obesity that emphasizes on promotion, prevention, and individualized interventions are recommended.
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Criteria
Article 1
Article 2
Article 3
APA-Formatted Article Citation with Permalink
Cuda, S. E., & Censani, M. (2018). Pediatric Obesity Algorithm: A Practical Approach to Obesity Diagnosis and Management. Frontiers in pediatrics, 6.
Heerman, W. J., Schludnt, D., Harris, D., Teeters, L., Apple, R., & Barkin, S. L. (2018). Scale-out of a community-based behavioral intervention for childhood obesity: pilot implementation evaluation. BMC public health, 18(1), 498.
Bazyk, S., & Winne, R. (2013). A multi-tiered approach to addressing the mental health issues surrounding obesity in children and youth. Occupational therapy in health care, 27(2), 84-98.
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1Running head OBESITY 4Running head OBESITY.docx
1
Running head: OBESITY
4
Running head: OBESITY
Obesity
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Obesity
Obesity is a chronic medical condition and a significant health concern in the United States that is increasing worldwide. More than one third of the adults in the U.S. are obese. It is a leading cause of preventable illness and death (Centers for Disease Control and Prevention [CDC], 2016). This global epidemic is a leading concern for adults and for children who are predisposed to becoming obese as adults. This paper will discuss the significance of obesity in Florida, provide a background of the disease, review current surveillance and reporting methods, conduct a descriptive epidemiological analysis, discuss diagnosis and screening for prevention tools, develop an evidence based plan along with measureable outcomes to address obesity as an advanced practice nurse, and conclude with an overview of the main points presented.
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American Heart Association Lifestyle Recommendations to Reduce Obesity
Yuritza Medina
Chamberlain College of Nursing
NR709 Project and Practicum IV
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Abstract Past tense
The prevalence of obesity and sedentary lifestyle complications are increasing at alarming rates, representing a common but preventable cause of severe medical complications like diabetes, cardiovascular diseases, and early mortality. This common but chronic condition has been for a long time a public health concern and social determinant. The integrative review focused on how the American Heart Association (AHA) Diet and Lifestyle recommendations and the Fitbit app are used as innovative solutions to reduce obesity in adult patients. The Fitbit app offers a unique opportunity to enhance the efficacy of weight loss plans, as it is used to track activity, monitor steps, heart rate, energy expenditure, sleep, and sedentary behavior.
Research Methodology: A systematic review was conducted to identify research articles completed in the preceding 4-5 years centered on obesity care, diet, physical activity, activity trackers, and lifestyle implications. The databases searched were Chamberlain Library, PubMed, and CINHAL.
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Conclusions and Further Recommendations:This systematic review supported the effectiveness of the AHA Diet and Lifestyle recommendations to prevent and reduce obesity, and clinical use is recommended. Fitbit app provides new ways to improve physical activity habits, and the easy availability of electronic devices may enhance their generalizability use.
Keywords: Obesity care; Obesity complications; Lifestyle recommendations; Obesity management; Physical activity intervention using Fitbit activity trackers.
Dedication
In dedication to my family for their steadfast support of this project; their cooperation means a lot to me. To my husband Armando, thank you for your love, understanding, and patience during this time. I credit my achievement to all of you for your unwavering love and belief in me.
Acknowledgments
First, I must acknowledge the help of all my professors from Chamberlain University, who inspired, encouraged, and supported me throughout the DNP program. My heartfelt thanks to my teammates, without whom I would never have completed this phase in my life. Their encouragement has had a significant influence on my strong determination during this trip.
Contents
American Heart Association Lifestyle Recommendations to Reduce Obesity 1
Abstract 2
Dedication 3
Acknowledgments 4
Introductio.
1Running head OBESITY 3Running head OBESITY.docx
This paper discusses obesity in Florida. Obesity rates are high, with 36% of Florida adults overweight and 26.2% obese. Obesity increases risks for diseases like diabetes and heart disease. As a future nurse practitioner, the author plans to screen patients for obesity, discuss weight management, and work with communities to increase access to healthy foods and physical activity.
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Diabetes Prevention with Dr. David Marrero
This webinar will discuss the prevalence of pre-diabetes and it’s contributing factors and the initial efforts to translate the National Diabetes Prevention Program to public health. We will also look at new approaches to providing interventions.
Learning objectives:
Scope and scale of pre-diabetes and what factors contribute to it.
Review initial efforts to translate the DPP to public health.
New approaches to providing interventions.
About The Presenter
Dr. Marrero received a B.A. (1974), M.A. (1978) and Ph.D. (1982) in Social Ecology from the University of California, Irvine. He joined the IU School of Medicine in 1984 and became the J.O. Ritchey Professor of Medicine in 2004. He was a member of the Diabetes Research & Training Center and served as Director of the Diabetes Prevention and Control Division. He is currently the Director of the Diabetes Translational Research Center. Dr. Marrero is an expert in the field of clinical trails in diabetes and translation research which moves scientific advances obtained in clinical trails into the public health sector. He helped design the Diabetes Prevention Program and the TRIAD study, which evaluated strategies to improve diabetes care delivery in managed care settings. His research interests include strategies for promoting diabetes prevention, care settings, improving diabetes care practices used by primary care providers, and the use of technology to facilitate care and education. Dr. Marrero was twice awarded the Allene Von Son Award for Diabetes Patient Education Tools by the American Association of Diabetes Educators, nominated to Who’s Who in Medicine and Health care in 2000, served as Associate Editor for Diabetes Care (1997-2002) and is currently the Associate Editor for Diabetes Forecast. He was selected as Alumni of the Year for University of California Irvine in 2006 and The Outstanding Educator in Diabetes in 2008 by the American Diabetes Association. He is the current President of the American Diabetes Association.
Literature Evaluation TableStudent Name Christiana Bona.Summa.docx
Literature Evaluation Table
Student Name: Christiana Bona.
Summary of Clinical Issue (200-250 words):
Childhood obesity is one of the problems that affect the United States and other developed economies. Obesity among children and youths is widely recognized as an issue that generates a lot of adverse health impacts. For instance, childhood obesity is a major indicator of future mental and physical health problems. In spite of the highest rates of childhood obesity in the country in the last three decades, obesity has been linked to other more serious health problems such as cardiovascular diseases and diabetes. As nurses and other health professionals continue to grapple with this problem, there are still no clear treatment approaches. Health professionals usually do not have a comprehensive guideline on where to manage the nearly one-third of their populations who present the medical care with obesity that coexists with other medical conditions and problems. Numerous treatment models have been proposed to address this rising public health concern. These approaches often include use of the traditional interventions such as pharmacological interventions. However, overemphasis on one treatment intervention may fail to generate the desired objectives. While the traditional strategies to obesity prevention and management have placed emphasis on medications, wider attention to other dimensions of treatment is necessary. Such treatment interventions may include the multi-tiered or holistic strategies that incorporate both pharmacological and non-pharmacological interventions. For instance, a wider focus should incorporate practices such as assessing the mental health impacts of obesity on the patients. Thus, a public health multi-tiered approach to obesity that emphasizes on promotion, prevention, and individualized interventions are recommended.
PICOT Question: Is the use of multi-tiered approach to the treatment and management of childhood obesity more effective than overreliance on only pharmacological interventions in reducing obesity prevalence rates?
Criteria
Article 1
Article 2
Article 3
APA-Formatted Article Citation with Permalink
Cuda, S. E., & Censani, M. (2018). Pediatric Obesity Algorithm: A Practical Approach to Obesity Diagnosis and Management. Frontiers in pediatrics, 6.
Heerman, W. J., Schludnt, D., Harris, D., Teeters, L., Apple, R., & Barkin, S. L. (2018). Scale-out of a community-based behavioral intervention for childhood obesity: pilot implementation evaluation. BMC public health, 18(1), 498.
Bazyk, S., & Winne, R. (2013). A multi-tiered approach to addressing the mental health issues surrounding obesity in children and youth. Occupational therapy in health care, 27(2), 84-98.
How Does the Article Relate to the PICOT Question?
The article is relevant to the PICOT question because it proposes the use of algorithms and technological systems that have data on all aspects of a child’s obesity prevention and management st ...
1Running head OBESITY 4Running head OBESITY.docx
1
Running head: OBESITY
4
Running head: OBESITY
Obesity
NR503 Population Health, Epidemiology, & Statistical Principles
January 2018
Obesity
Obesity is a chronic medical condition and a significant health concern in the United States that is increasing worldwide. More than one third of the adults in the U.S. are obese. It is a leading cause of preventable illness and death (Centers for Disease Control and Prevention [CDC], 2016). This global epidemic is a leading concern for adults and for children who are predisposed to becoming obese as adults. This paper will discuss the significance of obesity in Florida, provide a background of the disease, review current surveillance and reporting methods, conduct a descriptive epidemiological analysis, discuss diagnosis and screening for prevention tools, develop an evidence based plan along with measureable outcomes to address obesity as an advanced practice nurse, and conclude with an overview of the main points presented.
Background and Significance
According to the CDC (2016), obesity is defined as “weight that is higher than what is considered as a healthy weight for a given height.” It involves excessive weight gain and accumulation of fat. In order to determine obesity, Body Mass Index or BMI is used to indirectly calculate a person’s body fat and health risk based on weight in relation to height. A BMI of 25.0 or above is considered overweight and 30.0 or greater is considered obese. Athletes with a greater amount of muscle mass may have a higher BMI even though they do not have excess body fat. Waist circumference is also used as a tool to diagnose obesity.
There are many causes that contribute to obesity, including behavioral, genetic, hormonal, environmental, and social factors. Increase in caloric intake, unhealthy eating habits, decrease in physical activity, certain medications, age, lack of sleep, quitting smoking, pregnancy, and certain medical disorders can contribute to weight gain (Mayo Clinic, 2018). Driving cars has replaced walking and riding bikes, technology has replaced engaging in physical activity, and easy access to cheaper foods has replaced nutritional importance. Most people are aware when weight is gained. Obvious signs and symptoms are tighter clothes, excess fat, and increased weight on a scale. Being overweight or obese increases the risk for many health diseases. Obesity may cause low endurance, breathing issues, excessive sweating, and joint discomfort. It can also lead to diabetes, gastroesophageal reflux disease, coronary heart disease, hypertension, high cholesterol, stroke, depression, and even certain types of cancer such as bowel, breast, and prostate cancer (Mayo Clinic, 2018).
Below is a map that highlights the obesity prevalence across the U.S. in 2016 according to the CDC. There is no significant difference in overall prevalence between men and women. The prevalence of women with a BMI > 35 is 18.3% compared to 12.5% of men. The.
American Heart Association Lifestyle Recommendations to Redu.docx
American Heart Association Lifestyle Recommendations to Reduce Obesity
Yuritza Medina
Chamberlain College of Nursing
NR709 Project and Practicum IV
Summer 2022
Abstract Past tense
The prevalence of obesity and sedentary lifestyle complications are increasing at alarming rates, representing a common but preventable cause of severe medical complications like diabetes, cardiovascular diseases, and early mortality. This common but chronic condition has been for a long time a public health concern and social determinant. The integrative review focused on how the American Heart Association (AHA) Diet and Lifestyle recommendations and the Fitbit app are used as innovative solutions to reduce obesity in adult patients. The Fitbit app offers a unique opportunity to enhance the efficacy of weight loss plans, as it is used to track activity, monitor steps, heart rate, energy expenditure, sleep, and sedentary behavior.
Research Methodology: A systematic review was conducted to identify research articles completed in the preceding 4-5 years centered on obesity care, diet, physical activity, activity trackers, and lifestyle implications. The databases searched were Chamberlain Library, PubMed, and CINHAL.
Results and Discussion: Initial searches yielded over 2000 articles, of which 45 were chosen and examined because they fit the integrative review's theme. The 15 papers most relevant to the PICOT question were studied in further detail and appraised using the Johns Hopkins Evidence Appraisal table. The studies reported positive physical activity outcomes. What were the key themes?
Conclusions and Further Recommendations:This systematic review supported the effectiveness of the AHA Diet and Lifestyle recommendations to prevent and reduce obesity, and clinical use is recommended. Fitbit app provides new ways to improve physical activity habits, and the easy availability of electronic devices may enhance their generalizability use.
Keywords: Obesity care; Obesity complications; Lifestyle recommendations; Obesity management; Physical activity intervention using Fitbit activity trackers.
Dedication
In dedication to my family for their steadfast support of this project; their cooperation means a lot to me. To my husband Armando, thank you for your love, understanding, and patience during this time. I credit my achievement to all of you for your unwavering love and belief in me.
Acknowledgments
First, I must acknowledge the help of all my professors from Chamberlain University, who inspired, encouraged, and supported me throughout the DNP program. My heartfelt thanks to my teammates, without whom I would never have completed this phase in my life. Their encouragement has had a significant influence on my strong determination during this trip.
Contents
American Heart Association Lifestyle Recommendations to Reduce Obesity 1
Abstract 2
Dedication 3
Acknowledgments 4
Introductio.
1Running head OBESITY 3Running head OBESITY.docx
This paper discusses obesity in Florida. Obesity rates are high, with 36% of Florida adults overweight and 26.2% obese. Obesity increases risks for diseases like diabetes and heart disease. As a future nurse practitioner, the author plans to screen patients for obesity, discuss weight management, and work with communities to increase access to healthy foods and physical activity.
Running head PICOT STATEMENT 1PICOT STATEMENT 5.docx
Running head: PICOT STATEMENT 1
PICOT STATEMENT 5
PICOT Statement: Childhood Obesity
P-I-C-O-T Statement
P- Patients who suffer from obesity (BMI of more than 30)
I- Undertaking nutritional education, diet, and exercise
C- Comparison to nutritional education, endoscopic bariatric surgical intervention
O- Improved health outcomes in terms of overall weight
T - A year’s time limit
PICOT Statement: Childhood Obesity
Introduction
Childhood obesity poses serious health problems in the US as the number of overweight and obese population increases at a rapid pace every year. The effects of this problem have arrested the attention of policymakers, societal members, and government agencies. This has resulted in ranking childhood obesity as a national health concern. The adverse impacts of this disease go beyond the health realms to include economic burden on both personal and national budgets. While there are numerous risk factors and various evidence-based interventions to address this challenge, no single approach is consistently efficacious in curbing the disease. Consequently, it is imperative that efficacious initiatives and policies be developed to address the never-ending problem of childhood obesity. Multidisciplinary approaches are often broad and cut across all dimensions of personal health problems. Instead of placing emphasis solely on biomedical models, health care professionals should also seek to promote behavior change among obesity patients and their family members. A PICOT statement can be utilized as an effective tool to seek interventions of addressing childhood obesity.
PICOT Statement
Population
In the US, obesity prevalence is highest among children aged from 6 to 11 years (Cheung et al. 2016). The disease has tripled among this age group from 4.2 percent to 15.3 percent from 1963 to 2012. In the last three decades, increased cases of obesity prevalence have been noted among children of all ages, although the differences in obesity prevalence have been recorded in terms of age, race, ethnicity, and gender (Cheung et al. 2016). In this respect, children from socioeconomically disadvantaged families and some racial and ethnic minorities experience the higher median score on obesity than the dominant white population. Higher obesity rates are often recorded among blacks and Hispanics compared to whites. For instance, a survey on girls in the Southwest revealed that the yearly cases of obesity stood at 4.5 percent among Blacks, 2 percent among Hispanics, and 0.7 percent among white girls aged from 13 to 17 years (Cheung et al. 2016). For low-income earners, American Indians rank highest at 6.3 percent, followed closely by Hispanics at 5.5 percent.
Intervention
Evidence-based interventions that seek to reduce childhood obesity incidences in the country should target two major areas: prevention and treatment. High-quality RCT has been proven as one of the most effective preventative ...
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Improving Diabetes Care ELDEP
The document summarizes a study that evaluated the Emory Latino Diabetes Education Program (ELDEP), which provided culturally appropriate diabetes self-management education and support to 142 Latino patients over 5 years. The study found that after participating in ELDEP, patients had significant improvements in clinical indicators like A1C, blood pressure, and home blood glucose monitoring. Risk reduction examinations also increased. Predictors of continued participation included income, physical activity, and previous attendance. The program was effective at improving diabetes care for Latino patients.
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This study evaluated a commercial weight loss program commissioned by the NHS in Dorset, UK. The program offered 12 free weekly sessions at Slimming World or Weight Watchers. Of the 2,456 participants referred, almost half (44%) lost over 5% of their initial body weight at 12 weeks. Those who attended more sessions ("completers") lost significantly more weight on average (6.1 kg) than dropouts (2.2 kg). The study found that predictors of successful weight loss (over 5% of initial weight) included being older, male, initially in obese class I, and attending more meetings. The study aimed to identify factors influencing weight loss in commercial programs to inform future commissioning.
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Steven Gortmaker, Sugar Sweetened Beverage Taxes: Impact on Health, Health Ca...The Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics
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On February 14, 2020, Harvard Medical School Center for Bioethics and the Program on Regulation, Therapeutics, and Law (PORTAL) at Brigham and Women's Hospital, in collaboration with the Petrie-Flom Center hosted the monthly health policy consortium on sugar-sweetened beverage excise taxes.
In recent years, some cities have tried to impose soda taxes and other new policies to reduce the obesity epidemic in the US—particularly among children—and its critical impact on society and the health care system. How effective are these policies? What is blocking their uptake? What alternatives should we consider?
For more information visit our website at: https://petrieflom.law.harvard.edu/events/details/soda-taxes-and-other-policy-responses-to-the-american-obesity-epidemicA correlation study to determine the effect of diabetes self management on di...
A correlation study to determine the effect of diabetes self management on di...Kurt Naugles M.D., M.P.H.
Self-Management in this presentation refers to those activities people undertake in an effort to promote health, prevent disease, limit illness, and restore well being. Several investigators contend that self-management be made a major component of many patient health-care strategy (Glasgow, et al., 2001; Wagner, et al., 2001). Currently, nearly 125 million Americans suffer from chronic debilitating illnesses (Anderson, 2000). These national figures clearly underscore the need to develop a multidimensional approach in regards to disease management. Accordingly, measures that incorporate the patient’s perspective in managing his or her health should be explored.
Diabetes mellitus is among those conditions suspected to be highly influenced by self-management activities (Sprangers, et. al., 2000). If benefits do indeed exist, they need to be fully evidenced. The investigation presented here sought to examine the role self management plays in the health outcomes of individuals living with diabetes.
Crimson Publishers-Dietary Lifestyle, Way of Life Practices and Corpulence: ...
Crimson Publishers-Dietary Lifestyle, Way of Life Practices and Corpulence: ...Crimsonpublishers-Rehabilitation
This document summarizes research on the relationship between obesity, diabetes, and lifestyle/diet. It finds that 87% of American adults with diabetes are overweight or obese, and obesity is associated with increased diabetes complications and medical costs. Lifestyle modifications like comprehensive lifestyle programs and Mediterranean diets have been shown to help with weight loss and reduce cardiovascular risk. Long-term weight management strategies focusing on diet quality and physical activity may help populations improve health and reduce economic burdens related to obesity and diabetes.1ANNOTATED BIBLIOGRAPHY FOR SEDENTARY LIFESTYLESTHESE ARE.docx
1
ANNOTATED BIBLIOGRAPHY FOR SEDENTARY LIFESTYLES
THESE ARE THE INSTRUCTORS REMARKS AFTER GRADING AND GIVING ME A ZERO/100. PLEASE CORRECT THIS DOCUMENT FOR ME. THANKS.
I HAVE ALSO ATTACHED A Turnitin Report in pdf format.
Hi, Jude. Your Turnitin report showed that 74% of your draft matches sources that were not cited properly. Please review the plagiarism tutorial in the syllabus, and review the APA materials on how to cite sources. Paraphrase your sources whenever possible; this shows you understand the material and can restate it in your own words. This also enables you to claim ownership of the language while still giving credit for the ideas. When you use source material verbatim, make sure to place it in quotation marks. Avoid copying and pasting large chunks of text. Even if you include proper citations, your essay will lack originality. Please review the attached Turnitin report so you can see which sections need attention. I will review your draft and update your score once you've rewritten it in your own words and cited sources properly. Please note the late policy in the syllabus. Let me know if you have any questions. Thanks.
Annotated Bibliography for Sedentary Lifestyles
Jude Kum
DeVry University
Sedentary lifestyle is predominant in our everyday life be it in workplace, school, social or homes and the fact is we have got accustomed to sitting down and doing many things forgetting the impact this is causing to our health. People fail to realize how valuable exercise is in their life and especially in improving their health and well-being. Sitting down on the computer with all focused attention and forgetting that we need to get up and even eat cause problems to many people.
Guedes, N.G., Lopes, M.V., Leite de Araujo, T. Moreira, R.P. and Martins, L.C. G. (2010). Predictive Factors of the Nursing Diagnosis Sedentary Lifestyle in People with High Blood Pressure. Public Health Nursing. Vol. 28 No. 2, p. 193-200. Wiley Periodicals, Inc.
The research question for the study conducted by Guesdes, et al (2010) is based on the following: 1.what is the result of the defining characteristics and related factors of sedentary lifestyle diagnosis in patients with high blood pressure? 2. What are the predictive value and possible predictors of the nursing diagnosis sedentary lifestyle in patients with high blood pressure? The study looked at the validation of diagnostic groupings of the population being studied including aspects of their clinical situations. The study looked at diagnosis resulting from insufficient physical activity, intolerance of activity, fatigue, impaired physical mobility, self-care deficit.
My assessment: Using this article, I will bring out the important indicators and useful predictors for identification of sedentary lifestyle; demonstrated the benefits of physical fitness, verbalized preferences for activities that are to accomplish real training or exercises. I will point out appr.
In this students will pull together the change proposal project.pdf
This document provides details on a student capstone project on childhood obesity including sections required in the proposal. The proposal will apply research steps to address childhood obesity and include: background, problem statement, purpose, PICOT question, literature search strategy, literature evaluation, relevant theory, implementation plan, barriers/solutions, and references. The student is expected to write a 1250-1500 word paper incorporating feedback and using APA style with a minimum of 8 peer-reviewed sources.
Obesity in AmericaIntroductionDefini.docx
Obesity in America
Introduction
Definition of obesity
Causes of obesity
Statistics of Obesity in America.
Obesity is a condition where an individual have excess body fats leading to health problems. Obesity is an increasing problem in America with the rise in cases causing an alarm for the need to reduce the problem and promote healthy living. Statistics data released by health facilities and health institutions show an increasing trend of obesity in America. Obesity is caused by the uptake of high calorie food, genetic factors, lack of exercise and presence of underlying medical conditions.
2
Effects of Obesity
Low Quality Life
Increased medical expenses
Health problems
High Blood Pressure
Type ii Diabetes
Coronary heart Disease
Stroke
Hyperlidimia
Obesity has is associated with increased medical costs due to the health problems posed by the condition. Health problems associated with obesity are high blood pressure due to the high fat content deposited in the blood vessel lining. It also causes coronary heart disease, diabetes, stroke among many others. The condition also contributes to low quality life with high chances of causing death.
3
Inherency
Cause
Results from body storing excess energy in form of stored fats, thus by reducing intake can be a control measure.
Regulation of food intake as researched by professional cannot sustain control of increases in cases of obesity in society today. several factors interactions contribute to the situation. the causes have to first be understood. While most of the obesity cases are caused by excess consumption of food by an individual, it is also clear that some conditions are caused by more than excess consumption. This may include genetic, or other body disorders. The prevalence of the problem is increasing instead of reducing. Obesity rates have increased across all the population groups in the United States. It is therefore important to approach the problem from a different perspective.
Challenges being experienced can be grouped into the following major levels.
Intrapersonal Level
Interpersonal Level
Community/Institution Level
Macro/Public Policy Level
Medics and nutritionists have viewed the problem continuously as it could be solved through reducing the amount of food intake. However, body’s regulation of food consumption is not enough to deal with the epidemic. It is not a matter of the obese people decision to eat less food than they have been doing. It has been seen that obesity can be reduced through a different treatment of the problem. This may involve first deciding the root cause that triggers a person to eat so much food.
consumption is not enough to deal with the epidemic. It is not a matter of the obese people decision to eat less food than they have been doing. It has been seen that obesity can be reduced through a different treatment of the problem. This may involve first deciding the root cause that triggers a person to eat so much food. In.
Childhood obesity by EASO
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Researchers used the Health Belief Model (HBM) to account for respondents’ lack of knowledge and the negative effects of cultural variations on their actions. Using the most up-to-date ideas during planning and development is essential for achieving desired outcomes (Ghosh & Saboo, 2022). Education is a useful tool in treating insulin resistance in people with diabetes. As a strength of the research, patients with diabetes with education had better glycemic control, higher medication adherence, and more developed self-management abilities, as documented by Liu et al. (2021). Unfortunately, it is difficult to draw firm conclusions from the studies because of the limitations that exist in some of them. Some research, for instance, relies on participants’ self-reports, which could be inaccurate or biased, which is one of the study’s shortcomings. The difficulty in comparing the efficacy of education to that of other interventions or standard care is compounded by the fact that some studies need a control group. Furthermore, the effects of education on other outcomes, such as quality of life or healthcare utilization, are rarely evaluated in studies (Tucker et al., 2021). So, more studies are required to evaluate the long-term effects of education on insulin resistance treatment and its cost-effectiveness compared to alternative interventions. In addition, further research is needed to determine the best methods for customizing patient education to meet each person’s unique requirements.
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IMAGINE Research Poser_TL_2016
- 1. The Inflammation Management Intervention: Associations between the Dietary Inflammatory Index and Baseline Lipids Taylor Lamia, Dr. Michael Wirth South Carolina Statewide Cancer Prevention and Control Program, University of South Carolina Introduction Methods Results Conclusions An increasing amount of evidence links chronic inflammation to nearly all chronic diseases with diet being a strong modulator of chronic, systemic inflammation. In order to analyze one’s inflammatory potential, epidemiologists at the University of South Carolina created the Dietary Inflammatory Index (DII)TM . “The goal in creating the original DII in 2009 was to provide a tool that could categorize individual’s diets on a continuum from maximally anti-inflammatory to maximally pro-inflammatory” (Shivappa, et al. 2014). It was hypothesized that higher (i.e., more pro-inflammatory) baseline DII scores will be associated with higher lipid levels (total cholesterol, triglycerides, high [HDL] and low [LDL] density lipoprotein) compared to those with lower (i.e., more anti-inflammatory) DII scores. Study Population To assess reduction in inflammation using the DII and other health behaviors of middle-aged adults who are at risk for chronic disease, the University of South Carolina Cancer Prevention and Control Program developed an inflammation management intervention study that is a currently ongoing, non-randomized, two- arm intervention study of 93 individuals (34 control; 59 intervention). The intervention is a combination of efforts to reduce chronic inflammation levels: DII-based nutrition modifications Physical activity management Stress management The intervention met weekly for 12 weeks and monthly for the remaining 9 months. After the 12-week mark, participants are given access to the web application where they are able to track dietary information, receive feedback, obtain recipes and be part of a discussion board if they chose. The study has not completed yet. Linear mixed models were used to estimate least square means of lipids according to quartiles of the DII. Only baseline data was used for this analysis. It is hypothesized that once the study concludes the data will show a decrease in inflammation levels for the participants. This shows that interventions with emphasis on a diet change similar to vegan or vegetarian has potential to positively decrease inflammation levels but are not the only anti-inflammatory dietary patterns. Based on this analysis, it could suggest that the DII may not be a predictor of lipid levels in this population at baseline only. However, data is continuing to be collected and future analyses will confirm whether the DII is associated with changes in lipids and inflammation after a healthy lifestyle intervention. Objective The overall objective of IMAGINE is to reduce inflammation through an anti-inflammatory diet, as measured by the DII, physical activity, and stress reduction intervention. Considering IMAGINE is still ongoing, the objective of this specific project was to determine if the DII was associated with baseline lipid levels. As shown in Table 1, males, particularly participants younger in age, were more likely to have a greater pro-inflammatory diet compared to females. Caucasians tended to have a more anti-inflammatory diet compared to African Americans or those of other races. In Table 2, many of the comparisons did not achieve statistical significance most likely because of the small sample size. There was no significant difference in lipid levels between the DII quartiles. Acknowledgements Thank you to Nicole Wodzinski, the Douglass Project and the Douglass Alumni for funding and supporting me to participate in a research opportunity this summer. I would also like to thank the entire faculty at the University of South Carolina Cancer Prevention and Control Program, especially my advisor, Dr. Michael Wirth, for the opportunity to be a part of the IMAGINE study this summer. References Shivappa, N., Steck, S. E., Hurley, T. G., Hussey, J. R., & Hébert, J. R. (2014). Designing and developing a literature-derived, population- based dietary inflammatory index. Public Health Nutrition, 17(8), 1689–1696. http://doi.org/10.1017/ S1368980013002115. IMAGINE Study Application funded as a Small Business Innovation Research Grant to Drs. Michael Wirth and Nitin Shivappa, 2015. Table 1: Main Variables According to Quartiles of the Dietary Inflammatory Index Characteristic Entire Population (n=93) Q1 Q2 Q3 Q4 P-Value Sex 0.42 Male 18 (19%) 2 (9%) 6 (27%) 4 (17%) 5 (23%) Female 75 (81%) 21 (91%) 16 (73%) 19 (83%) 17 (77%) Race 0.47 African American and Other 35 (38%) 9 (39%) 6 (27%) 8 (35%) 11 (50%) White 58 (62%) 14 (61%) 16 (73%) 15 (65%) 11 (50%) Education Level 0.34 High school completed with some college 25 (27%) 9 (39%) 6 (27%) 5 (22%) 5 (23%) College completed 36 (39%) 9 (39%) 6 (27%) 12 (52%) 7 (32%) More than college completed 32 (34%) 5 (22%) 10 (45%) 6 (26%) 10 (45%) Marital Status 0.82 Married/ Living with Partner 54 (58%) 16 (70%) 13 (59%) 11 (48%) 13 (59%) Separated/ Widowed/ Divorced 18 (19%) 4 (17%) 4 (18%) 5 (22%) 5 (23%) Never Married 21 (23%) 3 (13%) 5 (23%) 7 (30%) 4 (18%) Smoking Status 0.27 Never 66 (71%) 14 (61%) 17 (77%) 14 (61%) 18 (82%) Former or current 27 (29%) 9 (39%) 5 (23%) 9 (39%) 4 (18%) CESD Score 0.26 < 16 82 (88%) 22 (96%) 21 (95%) 19 (83%) 18 (82%) >= 16 11 (12%) 1 (4%) 1 (5%) 4 (17%) 4 (18%) Continuous Measures Mean (SD) P-Value Age (y) 46.8 (14.3) 53.0 (12.6) 46.0 (14.4) 48.5 (12.5) 38.9 (14.9) < 0.05 BMI (kg/m2 ) 31.2 (7.1) 30.5 (6.1) 30.5 (5.1) 33.3 (7.7) 30.4 (9.3) 0.96 Table 2: Adjusted Mean Lipid Values by Dietary Inflammatory Index Quartiles Lipids DII Q1 Q2 Q3 Q4 P-Value TC (mg/dL) 189.5 (167.9) 188.9 (168.4) 183.1 (163.5) 183.5 (161.9) 0.66 Trigs (mg/dL) 214.1 (98.7) 110.0 (-0.04) 134.7 (29.4) 137.2 (21.4) 0.29 HDL (mg/dL) 51.9 (45.0) 56.3 (49.7) 53.1 (46.8) 52.5 (45.5) 0.90 LDL (mg/dL) 102.9 (84.8) 110.0 (93.1) 104.8 (88.1) 105.9 (88.0) 0.80