OBESITY MANAGEMENT IN ADULTS: APPLICATION OF HEALTH BEHAVIOR APPROACHES
Main Article Content
Abstract
Adult obesity is an important public health problem that is continuously increasing, with long-term impacts on physical health, mental health, and healthcare costs. Effective obesity management requires an integrated approach that encompasses biological, behavioral, and technological dimensions. This article presents the application of four major conceptual frameworks: 1) The Health Belief Model (HBM), which strengthens motivation through perceived severity, susceptibility, benefits, barriers, cues to action, and self-efficacy; 2) The concept of intermittent fasting, which aligns with mechanisms such as ketosis, autophagy, and circadian rhythm, helping to reduce weight and regulate metabolic balance; 3) The plant-based diet approach, which emphasizes plant-derived foods and classifies them using a traffic-light system for practical daily application, and can be linked to meal planning for energy control; and 4) The Technology Acceptance Model (TAM), which explains the use of health applications, wearable devices, and online consultation systems to support behavioral monitoring and enhance continuity in health care. The integration of these four frameworks provides a flexible approach to obesity management that is appropriate for the context of Thai adults and can lead to sustainable health behavior change. In addition, it highlights the importance of connecting scientific knowledge with practical implementation in healthcare systems, utilizing digital technology to support behavioral modification, and creating psychological motivation consistent with the lifestyle of the working-age population. Such approaches not only reduce the risk of non-communicable diseases but also have the potential to lower healthcare costs and improve the quality of life of the population in the long term.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
ธนณพัฒฒ์ นาตะสุต. (2568). ผอมทันทีสุขภาพดี 100%. (พิมพ์ครั้งที่ 5). ปทุมธานี: ไอแอมเดอะเบสท์.
นิธิพงศ์ ศรีบุญมาลาศรี และกิ่งแก้ว สํารวยรื่น. (2564). ผลของโปรแกรมปรับเปลี่ยนพฤติกรรมสุขภาพต่อพฤติกรรมการจัดการตนเองของผู้ป่วยเบาหวานชนิดที่ 2 ตำบลนาบ่อคำ อำเภอเมือง จังหวัดกำแพงเพชร. วารสาร วิชาการมหาวิทยาลัยอีสเทิร์นเอเชีย ฉบับวิทยาศาสตร์และเทคโนโลยี, 14(2), 149-160.
Ahmed, I. et al. (2022). Intermittent fasting: Eating by the clock for health and exercise performance. BMJ Open Sport & Exercise Medicine, 8(1), 1-4.
American Diabetes Association. (2023). Standards of medical care in diabetes-2023. Retrieved October 20, 2025, from https://shorturl.asia/qzQXI
Bandura, A. (2020). Self-efficacy: The exercise of control. New York: W.H. Freeman.
Barrington, W. (2021). Obesity Social stigma and obesity outcomes: A systematic review. Journal of Behavioral Health, 10(2), 10-23.
Centers for Disease Control and Prevention. (2024). Risk factors for obesity. Retrieved October 20, 2025, from https://shorturl.asia/E49Rr
Champion, V. L. & Skinner, C. S. (2020). The Health Belief Model Health behavior and health education: Theory, research, and practice. (4th ed.). San Francisco: Jossey-Bass.
Chodick, G. et al. (2024). Heritability of Body Mass Index Among Familial Generations. JAMA Network Open, 7(6), e2419029. https://shorturl.asia/hlPU9
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-339.
Gerardo, G. et al. (2025). Depression and obesity: Current evidence and clinical implications. Current Obesity Reports, 14(1), 5-14.
Grundy, S. M. et al. (2020). health beliefs, and behavior change: A review. Journal of Clinical Preventive Medicine, 12(4), 210-225.
Gupta, R. et al. (2023). Perceived severity and lifestyle modification among adults with obesity. International Journal of Behavioral Nutrition, 20(2), 144-158.
Hargreaves, S. M. et al. (2023). Plant-based diets: Nutritional considerations and public health perspectives. New York: Springer.
Johnson, M. A. et al. (2023). Digital cues and weight control: Effects of reminders on adherence. Journal of Digital Health Innovations, 5(1), 11-20.
Krukowski, R. A. et al. (2024). Impact of self-monitoring and feedback on weight-loss behaviors: A meta-analysis. International Journal of Behavioral Nutrition and Physical Activity, 21(1), 1-18.
Laddu, D. et al. (2024). Implementation of obesity science into clinical practice: A scientific statement from the American Heart Association. Circulation, 150(1), 7-19.
Lauby-Secretan, B. et al. (2020). Body fatness and cancer-viewpoint of the IARC. The New England Journal of Medicine, 383(8), 794-798.
Martone, A. M. et al. (2025). Impact of waist-to-hip and waist-to-height ratios on physical performance. Aging, 17(6), 1375-1385.
Nan, J. et al. (2025). Waist circumference status in Chinese adults: China Nutrition and Health Surveillance. Biomedical and Environmental Sciences, 38(6), 757-762.
Nation Thailand. (2025). Thailand faces rising obesity rates, experts warn. Retrieved October 20, 2025, from https://www.nationthailand.com/health-wellness/40047013
Okawa, Y. et al. (2025). The Asia-Pacific BMI classification and chronic kidney. Biomedicines, 13(2), 373. https://doi.org/10.3390/biomedicines13020373
Puhl, R. & Lessard, L. (2020). Weight Stigma and Barriers to Effective Obesity Care. American Journal of Public Health, 110(9), 417-428.
Swinburn, B. A. et al. (2019). The global syndemic of obesity, undernutrition and climate change. The Lancet, 393(10173), 791-846.
Taheri, S. et al. (2021). Short Sleep Duration Is Associated with Reduced Leptin, Elevated Ghrelin, and Increased Body Mass Index. PLOS Medicine, 18(3), e1003672. https://doi.org/10.1371/journal.pmed.0010062
World Heart Federation. (2025). World Heart Report 2025: Obesity and cardiovascular disease. Retrieved October 20, 2025, from https://shorturl.asia/jrRoG