DETERMINING THE RELATIONSHIP BETWEEN DISTINCT OBESITY PREVALENCE GROUPS AND RISK FACTORS BY PANEL RANDOM-EFFECT ORDERED PROBIT MODEL IN TURKEY

Yıl 2023, Cilt: 3 Sayı: 2, 41 - 49, 27.05.2023

Fatih Baygutalp Nurcan Kılıç Baygutalp Faruk Urak Abdulbaki Bilgic

Öz

Aim: The study aimed to analyze the socio-demographic and economic characteristics of families or individuals that can affect the normal weight, overweight, obesity, and severe obesity of the individual determined by the Body Mass Index (BMI) using the panel random-effect ordered Probit model in Turkey.
Methods: The analysis used the survey data from the 2016 Turkey Health Research (THR) created by the Turkish Statistical Institute (TSI). The choice of the random-effect model was confirmed by a statistical test.
Results: We found that many socio-demographic and economic factors of family members or family significantly affect the probability of obesity groups. For example, considering the change in the age scale of obesity, the probability of being at normal weight decreases as the ages of family members increase, and this condition triggers being overweight, obese, and severely obese as the age progresses. As the family income increases, the individuals become more obese, while the education level of the individuals and the time devoted to walking for more than an hour a day show that the individuals are successful in their maintaining a normal weight.
Conclusion: Obesity is an important problem for Turkey and should be tackled effectively. It has been determined that the socio-demographic and economic factors of the individual significantly affect the probability of obesity. Social risk groups that are positively associated with obesity should be identified and awareness training should be given to each group with appropriate methods.

Anahtar Kelimeler

Obesity, TUIK, Risk factors, Turkey

Kaynakça

• 1. Demir O, Demir N, Bilgic A. Determinants of obesity in Turkey: appetite or disease? Journal of Public Health. 2019;27(2):151-61.
• 2. WHO (2018a). http://www.who.int/news-room/fact-sheets/detail/obesityand-overweight.
• 3. Black RE, Victora CG, Walker SP, Bhutta ZA, Christian P, De Onis M, et al. Maternal and child undernutrition and overweight in low-income and middle-income countries. The lancet. 2013;382(9890):427-51.
• 4. Frongillo EA, Bernal J. Understanding the coexistence of food insecurity and obesity. Current Pediatrics Reports. 2014;2(4):284-90.
• 5. Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. The lancet. 2014;384(9945):766-81.
• 6. Dixon JB. The effect of obesity on health outcomes. Molecular and cellular endocrinology. 2010;316(2):104-8. 7. Gökbunar R, Doğan A, Utkuseven A. Obezite İle Mücadelede Bir Kamu Politikası Aracı Olarak Vergilerin Değerlendirilmesi. Journal of Management & Economics. 2015;22(2).
• 8. Dieticians Association of Turkey, https://www.tdd.org.tr/roportajlar/toplum-sagligini-tehdit-eden-obezite-saglik-harcamalarini/.
• 9. WHO (2018b). https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight
• 10. Jones H, Al‐Khudairy L, Melendez‐Torres GJ, Oyebode O. Viewpoints of adolescents with overweight and obesity attending lifestyle obesity treatment interventions: a qualitative systematic review. Obesity Reviews. 2019;20(1):156-69.
• 11. Pereira MA, Kartashov AI, Ebbeling CB, Van Horn L, Slattery ML, Jacobs Jr DR, et al. Fast-food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. The lancet. 2005;365(9453):36-42.
• 12. Taylor-Jones M. Food insecurity and the obesity epidemic: A political economy perspective. Health Syst Policy Res. 2015;2(8):1-6.
• 13. Sallis JF, Glanz K. The role of built environments in physical activity, eating, and obesity in childhood. The future of children. 2006:89-108.
• 14. Frongillo EA. Confronting myths about household food insecurity and excess weight. Cadernos de saude publica. 2013;29(2):229-30.
• 15. Deckelbaum RJ, Williams CL. Childhood obesity: the health issue. Obesity research. 2001;9(S11):239S-43S.
• 16. Sen A, Entezarkheir M, Wilson A. Obesity, smoking, and cigarette taxes: Evidence from the Canadian Community Health Surveys. Health policy. 2010;97(2-3):180-6.
• 17. Finkelstein EA, Trogdon JG, Cohen JW, Dietz W. Annual Medical Spending Attributable To Obesity: Payer-And Service-Specific Estimates: Amid calls for health reform, real cost savings are more likely to be achieved through reducing obesity and related risk factors. Health affairs. 2009;28(Suppl1):w822-w31.
• 18. Birmingham CL, Muller JL, Palepu A, Spinelli JJ, Anis AH. The cost of obesity in Canada. Cmaj. 1999;160(4):483-8.
• 19. Cecchini M, Sassi F. Tackling obesity requires efficient government policies. Israel Journal of Health Policy Research. 2012;1(1):1-2.
• 20. Waters H, DeVol R. Weighing down America: the health and economic impact of obesity. Santa Monica, CA: The Milken Institute. 2016.
• 21. Egemen İ. Türkiye’de obezitenin sosyoekonomik belirleyicileri. Uluslararası İktisadi ve İdari İncelemeler Dergisi. 2019(25):57-70.
• 22. Paleti R, Bhat CR. The composite marginal likelihood (CML) estimation of panel ordered-response models. Journal of choice modelling. 2013;7:24-43.
• 23. Tan AK, Yen ST, Feisul MI. Determinants of body weight status in Malaysia: an ethnic comparison. International Journal of Public Health. 2012;57(2):279-88.
• 24. Yen ST, Chen Z, Eastwood DB. Lifestyles, demographics, dietary behavior, and obesity: a switching regression analysis. Health Services Research. 2009;44(4):1345-69.
• 25. Kuntz B, Lampert T. Socioeconomic factors and obesity. Deutsches Ärzteblatt International. 2010;107(30):517.
• 26. Nguyen MD, Beresford SA, Drewnowski A. Trends in overweight by socio-economic status in Vietnam: 1992 to 2002. Public health nutrition. 2007;10(2):115-21.
• 27. Pan L, Sherry B, Njai R, Blanck HM. Food insecurity is associated with obesity among US adults in 12 states. Journal of the Academy of Nutrition and Dietetics. 2012;112(9):1403-9.
• 28. Mohajeri M, Houjeghani S, Ghahremanzadeh M, Borghei MH, Moradi F, Barzegar A. Some behavioral risk factors of obesity in Ardabil–Iran adults. Obesity Medicine. 2020;18:100167.
• 29. Kriaucioniene V, Petkeviciene J, Klumbiene J, Sakyte E, Raskiliene A. Socio-demographic inequalities in overweight and obesity among Lithuanian adults: time trends from 1994 to 2014. Scandinavian journal of public health. 2016;44(4):377-84.
• 30. Fradkin C, Wallander JL, Elliott MN, Tortolero S, Cuccaro P, Schuster MA. Associations between socioeconomic status and obesity in diverse, young adolescents: variation across race/ethnicity and gender. Health Psychology. 2015;34(1):1.
• 31. Newton S, Braithwaite D, Akinyemiju TF. Socio-economic status over the life course and obesity: Systematic review and meta-analysis. PloS one. 2017;12(5):e0177151.
• 32. Ogden CL, Carroll MD, Fakhouri TH, Hales CM, Fryar CD, Li X, et al. Prevalence of obesity among youths by household income and education level of head of household—United States 2011–2014. Morbidity and mortality weekly report. 2018;67(6):186.
• 33. Dastgiri S, Mahdavi R, TuTunchi H, Faramarzi E. Prevalence of obesity, food choices and socio-economic status: a cross-sectional study in the north-west of Iran. Public health nutrition. 2006;9(8):996-1000.
• 34. Nayga RM. Determinants of US household expenditures on fruit and vegetables: a note and update. Journal of Agricultural and Applied Economics. 1995;27(2):588-94.
• 35. Ogundari K, Arifalo SF. Determinants of household demand for fresh fruit and vegetable in Nigeria: A double hurdle approach. Quarterly Journal of International Agriculture. 2013;52(892-2016-65183):199-216.
• 36. Ricciuto L, Tarasuk V, Yatchew A. Socio-demographic influences on food purchasing among Canadian households. European journal of clinical nutrition. 2006;60(6):778-90.
• 37. Riediger ND, Shooshtari S, Moghadasian MH. The influence of sociodemographic factors on patterns of fruit and vegetable consumption in Canadian adolescents. Journal of the American Dietetic Association. 2007;107(9):1511-8.
• 38. Giskes K, Turrell G, Patterson C, Newman B. Socioeconomic differences among Australian adults in consumption of fruit and vegetables and intakes of vitamins A, C and folate. Journal of Human Nutrition and Dietetics. 2002;15(5):375-85.
• 39. Meng T, Florkowski WJ, Kolavalli S, Ibrahim M. Food expenditures and income in rural households in the northern region of Ghana. 2012.
• 40. Assari S. Family income reduces risk of obesity for white but not black children. Children. 2018;5(6):73.
• 41. Bates C, Buscemi J, Nicholson L, Cory M, Jagpal A, Bohnert A. Links between the organization of the family home environment and child obesity: a systematic review. Obesity reviews. 2018;19(5):716-27.
• 42. Gallus S, Odone A, Lugo A, Bosetti C, Colombo P, Zuccaro P, et al. Overweight and obesity prevalence and determinants in Italy: an update to 2010. European journal of nutrition. 2013;52(2):677-85.
• 43. Kasteridis P, Yen ST. Occasional smoking and body weight among adults. Applied Economic Perspectives and Policy. 2014;36(3):479-503.
• 44. Grundy A, Cotterchio M, Kirsh VA, Kreiger N. Associations between anxiety, depression, antidepressant medication, obesity and weight gain among Canadian women. PloS one. 2014;9(6):e99780.
• 45. Power C, Lake JK, Cole TJ. Measurement and long-term health risks of child and adolescent fatness. International journal of obesity. 1997;21(7):507-26.