The AIA Healthy Living Index 2018 Infographic
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What are the prevailing health trends in the Asia-Pacific region? Check out our infographic with all the key regional findings from the AIA Healthy Living Index 2018! #AIAHealthyLiving
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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
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Personalized Nutrition Through Connected Data.
The rise in aging population and food related chronic conditions in the digital era creates a vast opportunity to inspire people to maintain healthy lifestyles using technology.
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Uncover the Connections Between People and Food
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DIGITAL NUTRITION PLATFORM
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It’s not about counting calories anymore. It’s the digital signature of how food affects the body. Our technology recognizes that not only will two people respond differently to the same food, but a single individual may respond differently to the same food at different times balancing in real time nutritional fitness of foods that love you back.
Use Data for Nutritional Fitness
LIFEdata is an artificial intelligence based nutrition and lifestyle platform that helps individuals adopt a healthy nutrition by learning and utilizing each person’s life habits, environment, motivations, and behavioral change patterns.
LIFEdata is building the world’s largest and most personalized nutrition insights platform, uncovering the invisible connections between people and food to empower better nutritional decisions for better health outcomes. We support food, supplements, pharma, healthcare and wellness companies personalize their offerings around food, with nutrition-related data services, analytics, and technologies focused on the digital signature of how foods affect our body.
Learn more at http://lifedata.ai/ai-solutions/personalized-nutrition/
Personalized Nutrition Through Connected Data - Chatbot for Nutrition
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A critical condition about healthy nutrition is that it must be prescribed in the context of everyday life. Data should be used to better understand the 'soft science' of wellbeing and emotions associated with food and personal care and direct them towards a
healthier and happier way of life.
In this paper, we’ll discuss how making sense of consumer data via artificial intelligence can personalize nutrition, change behaviors and positively impact health and cost at scale.
Personalization and engagement will drive food, vitamins and dietary supplements; and make them all converge with traditional healthcare.
Recent years have witnessed several changes in the landscape of nutrition and health. Nevertheless, existing nutrition solutions are fragmented and generic due to the lack of context and real-life input.
Uncover the Connections Between People and Food
Today, consumers expect personalized experiences when they interact with brands. And that means marketers aren’t just closing transactions, they’re building relationships. By coupling their data with machine learning, marketers can understand new audiences
that are similar to their best customers. That’s a win-win.
DIGITAL NUTRITION PLATFORM
LIFEdata PersonalHEALTH is the most personalized digital nutrition and lifestyle platform, uncovering the invisible connections between people and food to empower better nutritional decisions for better health outcomes.
It’s not about counting calories anymore. It’s the digital signature of how food affects the body. Our technology recognizes that not only will two people respond differently to the same food, but a single individual may respond differently to the same food at different times balancing in real time nutritional fitness of foods that love you back.
Use Data for Nutritional Fitness
LIFEdata is an artificial intelligence based nutrition and lifestyle platform that helps individuals adopt a healthy nutrition by learning and utilizing each person’s life habits, environment, motivations, and behavioral change patterns.
LIFEdata is building the world’s largest and most personalized nutrition insights platform, uncovering the invisible connections between people and food to empower better nutritional decisions for better health outcomes. We support food, supplements, pharma, healthcare and wellness companies personalize their offerings around food, with nutrition-related data services, analytics, and technologies focused on the digital signature of how foods affect our body.
Learn more at http://lifedata.ai/ai-solutions/personalized-nutrition/
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Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
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Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
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- 1. Environmental factors are a key health concern 62% think that air pollution is negatively affecting their health The AIA Healthy Living Index 2018 AIA has been asking about people’s attitudes to health since 2011 and this year surveyed 11,000 people in Australia, Cambodia, mainland China, Hong Kong, India, Indonesia, Korea, Macau, Malaysia, New Zealand, the Philippines, Singapore, Sri Lanka, Taiwan, Thailand and Vietnam. Key Regional Findings But healthy eating proves difficult Satisfaction with health declines Weekly exercise has increased hours per week in 2018 continue their diet programmes after starting one. Only 52% hours per week in 2016 3.0 People are less satisfied with their health, but they are adopting more healthy behaviours The cost of maintaining health is also a concern 3.6 estimate that the cost of cancer treatment would cause serious financial implications for them 46% People identified a financial shortfall of in their ability to pay direct cancer treatment costs 36%50% are concerned about the potential costs of critical illnesses “Activity trackers motivate me to make positive changes to my behaviour” 65% Activity trackers can help people be healthy “Activity trackers are easy to use” 68% aia.com 81% 84%in 2018 in 2016 have tried anti-pollution masks43% are concerned about food safety49%