Abstract
Objective: The aim of this study was to examine the impacts of genetic, behavioral, and socio-economic factors on the prevalence of overweight and obesity among urban adults. Methods: The primary data of this study was derived from 384 adult individuals using the non-grouped one stage random likelihood sampling procedure in the urban area of Samsun province of Turkey. The ordered probit model was used to estimate factors affecting overweight and obesity among urban adults. Results: The research results show that the prevalence of overweight and obesity among urban adults were 30.7% and 21.1, respectively. The ordered probit model result revealed that age, number of siblings, marital status, employment, number of obese family member, BMI of mother and breastfeeding duration had statistically significant positive effects on the likelihood of overweight and obesity among the urban adults, while paying attention toward fat, sugar and salt contents in foods and dieting behavior had statistically significant negative effects on the likelihood of overweight and obesity. Conclusions: In order to decrease the prevalence of overweight and obesity among the urban adults, they should be eating healthy foods and do enough physical activities, and these should be a part of their lifestyle forever.
Keywords
References
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- 16. Banterle A, Cavaliere A. The social and economic determinants of obesity: an empirical study in Italy. In 113th Seminar of the European Association of Agricultural Economists (EAAE) “A resilient European food industry and food chain in a challenging world”. Chania, Crete, Greece 2009;1-13.
- 17. Delibasi T, Karaaslan Y, Ustun I, Koroglu E, Hosgor S. National prevalence of underweight, overweight and obesity in Turkey: cross sectional study of a representative adult population. Open Medicine 2007; 2(3): 294-303.
- 18. Sahin H, Cicek B, Yılmaz M, Ongan D, Inanç N, Aykut M, Elmali F. Obesity prevalence, waist-to-height ratio and associated factors in adult Turkish males. Obesity research & clinical practice 2011; 5(1): 29-35.
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- 22. McLean-Meyinsse PE. Factors influencing early adoption of new food products in Louisiana and Southeast Texas. J. Food Distrib. Res 1997; 28(3): 1–10.
- 23. Abdel-Aty MA. Using ordered probit modeling to study the effect of ATIS on transit ridership. Transp. Res. Part C 2001; 9:265-267.
- 24. Chen K, Ali M, Veeman M, Unterschultz J, Le T. Relative importance rankings for pork attributes by Asian-origin consumers in California: Applying an ordered probit model to a choice-based sample. J. Agric. Appl. Econ 2002; 34: 67–79.
- 25. Slack T, Myers CA, Martin CK, Heymsfield SB. The geographic concentration of US adult obesity prevalence and associated social, economic, and environmental factors. Obesity 2014; 22(3): 868-874.
Abstract
Amaç: Bu çalışmanın amacı, genetik, davranışsal ve sosyo-ekonomik faktörlerin yetişkinlerde aşırı kilo ve obeziteye etkisinin ortaya konulmasıdır. Yöntem: Çalışmanın verileri, Samsun İli kent merkezindeki yetişkinler arasından rastgele olasılık örnekleme yaklaşımı kullanılarak seçilen 384 yetişkin ile yapılan anketlerle elde edilmiştir. Aşırı kilo ve obeziteye etkili faktörlerin belirlenmesinde sıralı probit modeli kullanılmıştır. Bulgular: Araştırma sonuçları, kentsel yetişkinlerde aşırı kilo ve obezitenin sırasıyla %30.7 ve %21.1 olduğunu göstermektedir. Model sonuçları; yaş, kardeş sayısı, medeni hal, istihdam edilme, ailedeki obez birey sayısı, annenin BMI’ı ve bebeklik dönemindeki emzirilme sürenin kentsel yetişkinlerde aşırı kilo ve obeziteyi istatistiki olarak pozitif etkisinin olduğu; buna karşın diyet yapma alışkanlığı, gıdaların yağ, şeker ve tuz içeriğine dikkat edilmesi gibi davranışların istatistiki olarak anlamlı negatif etkilerinin olduğunu göstermektedir. Sonuç: Aşırı kilo ve obezitesinin önlenebilmesi için kentsel yetişkinlerin sağlıklı beslenmeleri ve yeterli fiziksel aktivite yapmaları, bunları yaşam tarzlarının bir parçası haline getirmeleri gerekli görülmektedir.
Keywords
References
- 1. Sen J, Mondal N, Dutta S. Factors affecting overweight and obesity among urban adults: a cross-sectional study. Epidemiology, Biostatistics and Public Health 2013; 10(1):1-11.
- 2. Bray GA. Health hazards of obesity. Endocrinology and metabolism clinics of North America 1996; 25: 907-919.
- 3. WHO. World Health Organization Obesity and Overweight, World Obesity Federation. http://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight Accessed 15 October, 2018.
- 4. Erem C. Prevalence of overweight and obesity in Turkey. IJC Metabolic & Endocrine 2015; 8: 38-41.
- 5. MoH. Ministry of Health. Chronic diseases and risk factors survey in Turkey, Ankara. ISBN; 978-975-590-461-0 Publication Number; 909. 2013.
- 6. WHO. World Health Organization. Obesity: preventing and managing the global epidemic; Report of a WHO Consultation, WHO Technical Report Series 894. 2000.
- 7. Chou SY, Grossman M, Saffer H. An economic analysis of adult obesity: results from the Behavioral Risk Factor Surveillance System. Journal of health economics 2004; 23(3): 565-587.
- 8. Tur JA, Serra‐Majem L, Romaguera D, Pons A. Profile of overweight and obese people in a Mediterranean region. Obesity Research 2005; 13(3): 527-536.
- 9. Haslam DW, James WP. Obesity. Lancet 2005; 366: 1197-1209.
- 10. Laxmaiah A, Nagalla B, Vijayaraghavan K, Nair M. Factors affecting prevalence of overweight among 12‐to 17‐year‐old urban adolescents in Hyderabad, India. Obesity 2007; 15(6): 1384-1390.
- 11. Caballero B. The Global Epidemic of Obesity: An Overview. Epidemiol Rev 2007; 29:1-5.
- 12. IHME, Institute for Health Metrics and Evaluation. What causes the most premature death? 2016. http://www.healthdata.org/ turkey. Accessed 15 October, 2018.
- 13. Skinner AC, Perrin EM, Skelton JA. Prevalence of obesity and severe obesity in US children (1999‐2014). Obesity 2016; 24(5): 1116-1123.
- 14. Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011-2012. Jama 2014; 311(8): 806-814.
- 15. Goryakin Y, Lobstein T, James WPT, Suhrcke M. The impact of economic, political and social globalization on overweight and obesity in the 56 low and middle income countries. Social Science & Medicine 2015; 133: 67-76.
- 16. Banterle A, Cavaliere A. The social and economic determinants of obesity: an empirical study in Italy. In 113th Seminar of the European Association of Agricultural Economists (EAAE) “A resilient European food industry and food chain in a challenging world”. Chania, Crete, Greece 2009;1-13.
- 17. Delibasi T, Karaaslan Y, Ustun I, Koroglu E, Hosgor S. National prevalence of underweight, overweight and obesity in Turkey: cross sectional study of a representative adult population. Open Medicine 2007; 2(3): 294-303.
- 18. Sahin H, Cicek B, Yılmaz M, Ongan D, Inanç N, Aykut M, Elmali F. Obesity prevalence, waist-to-height ratio and associated factors in adult Turkish males. Obesity research & clinical practice 2011; 5(1): 29-35.
- 19. TurkStat. Turkish Statistical Institute. https://biruni.tuik.gov.tr/bitkiselapp/bitki sel.zul Accessed 05 October, 2018.
- 20. Cochran WG. Sampling Techniques. Third Edition, John Wiley&Sons Inc.; 1977. p. 75-76.
- 21. Panagiotakos DB, Pitsavos C, Chrysohoou C, Risvas G, Kontogianni MD, Zampelas A, Stefanadis C. Epidemiology of overweight and obesity in a Greek adult population: the ATTICA Study. Obesity Research 2004; 12(12): 1914-1920.
- 22. McLean-Meyinsse PE. Factors influencing early adoption of new food products in Louisiana and Southeast Texas. J. Food Distrib. Res 1997; 28(3): 1–10.
- 23. Abdel-Aty MA. Using ordered probit modeling to study the effect of ATIS on transit ridership. Transp. Res. Part C 2001; 9:265-267.
- 24. Chen K, Ali M, Veeman M, Unterschultz J, Le T. Relative importance rankings for pork attributes by Asian-origin consumers in California: Applying an ordered probit model to a choice-based sample. J. Agric. Appl. Econ 2002; 34: 67–79.
- 25. Slack T, Myers CA, Martin CK, Heymsfield SB. The geographic concentration of US adult obesity prevalence and associated social, economic, and environmental factors. Obesity 2014; 22(3): 868-874.
Details
| Primary Language | English |
|---|---|
| Subjects | Public Health, Environmental Health |
| Journal Section | Orijinal Articles |
| Authors | |
| Publication Date | December 20, 2020 |
| Submission Date | April 12, 2020 |
| Published in Issue | Year 2020 Volume: 14 Issue: 4 |
English or Turkish manuscripts from authors with new knowledge to contribute to understanding and improving health and primary care are welcome.