Iranian Journal of Public Health 2018. 47(5):682-688.

Obesity among Women in Turkey
Fatih SANTAS, Gulcan SANTAS

Abstract


 Background: This study aimed to determine the prevalence and potential risk factors of obesity among women in Turkey.

Methods: The data source was the Turkey Demographic and Health Survey (TDHS) in 1998, 2003, 2008 and 2013, conducted by Hacettepe University Institute of Population Studies. Cross-tables and binary logistic regression were used in the study.

Results: Obesity was a serious problem among women in Turkey. Obesity rate was 21.7% in 1998 and increased to 26.5% in 2013. Age, education level, the number of births, region, residence, and wealth status were included as potential risk factors. Age was an important variable affecting obesity and increased with age. There was an inverse relationship between obesity and education level. Women having no education or not completed primary school and those who were not working were higher at obesity risk. Obesity increased with the giving births of mothers. Obesity was mostly observed in the West and Central. As household welfare increased, obesity increased except for 2013 research.

Conclusion: Preventive interventions should be announced particularly among urban women in Turkey. Women should be stimulated by physical activities and informed by realistic food policies.

 


Keywords


Obesity; Women; Body mass index (BMI); Wealth index; Turkey

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References


Martorell R, Khan LK, Hughes ML, Strawn LM (2000). Obesity in women from de-veloping countries. Eur J Clin Nutr, 54(3): 247-252.

Popkin BM, Paeratakul S, Zhai F, Ge K (1995). Dietary and environmental corre-lates of obesity in a population study in China. Obes Res, 3 Suppl 2:135s-143s.

Costa Branco J, Motta J, Wiener C et al (2017). Association between obesity and suicide in woman, but not in man: A population-based study of young adults. Psychol Health Med, 22(3): 275-281.

Sarma H, Saquib N, Hasan MM et al (2016). Determinants of overweight or obesity among ever-married adult women in Bangladesh. BMC Obes, 3:13.

Swinburn BA, Sacks G, Hall KD et al (2011). The global obesity pandemic: Shaped by global drivers and local environments. Lancet, 378 (9793): 804–14.

Gorstein J, Grosse RN (1994). The indirect costs of obesity to society. Pharmacoeconom-ics, 5(Suppl 1):58-61.

Hammond RA, Levine R (2010). The eco-nomic impact of obesity in the United States. Diabetes Metab Syndr Obes, 3: 285-95.

Deurenberg P, Weststrate JA, Seidell JC (1991). Body mass index as a measure of body fatness: Age- and sex-specific pre-diction formulas. Br J Nutr, 65(2):105-14.

Faienza MF, Wang DQ, Frühbeck G et al (2016). The dangerous link between childhood and adulthood predictors of obesity and metabolic syndrome. Intern Emerg Med, 11(2):175-82.

Barry D, Pietrzak RH, Petry NM (2008). Gender differences in associations be-tween body mass index and DSM-IV mood and anxiety disorders: Results from the National Epidemiologic Survey on Alcohol and Related Conditions. Ann Epidemiol, 18 (6): 458-466.

Erem C, Yildiz R, Kavgaci H (2001). Preva-lence of diabetes, obesity and hyperten-sion in a Turkish population (Trabzon city). Diabetes Res Clin Pract, 54 (3): 203-208.

Ajlouni K, Jaddou H, Batieha A (1998). Obesity in Jordan. Int J Obes, 22: 624-628.

Gartner DR, Taber DR, Hirsch JA, Robin-son WR (2016). The spatial distribution of gender differences in obesity preva-lence differs from overall obesity preva-lence among US adults. Ann Epidemiol, 26 (4): 293-298.

Khan MMH, Krämer A (2009). Factors as-sociated with being underweight, over-weight and obese among ever-married non-pregnant urban women in Bangla-desh. Singapore Med J, 50 (8): 804-13.

Duda RB, Darko R, Seffah J et al (2007). Prevalence of obesity in women of Accra, Ghana. Afr J Health Sci, 14 (3-4): 154-159.

Dastgiri S, Mahdavi R, TuTunchi H, Elnaz F (2006). Prevalence of obesity, food choic-es and socio-economic status: a cross-sectional study in the north-west of Iran. Public Health Nutr, 9 (8): 996-1000.

Hu FB (2003). Overweight and obesity in women: Health risks and consequences. J Womens Health (Larchmt), 12 (2): 163-172.

Tezcan S, Altintas H, Sonmez R et al (2003). Cardiovascular risk factor levels in a lower middle‐class community in Anka-ra, Turkey. Trop Med Int Health, 8(7): 660-667.

Villareal DT, Apovian CM, Kushner RF, Klein S (2005). Obesity in older adults: Technical review and position statement of the American Society for Nutrition and NAASO, The obesity society. Am J Clin Nutr, 2005 Nov;82(5):923-34..

Neupane S, Prakash KC, Doku DT (2016). Overweight and obesity among women: analysis of demographic and health sur-vey data from 32 Sub-Saharan African Countries. BMC Public Health. 16:30.

Subramanian SV, Perkins JM, Khan KT (2009). Do burdens of underweight and overweight coexist among lower socioec-onomic groups in India? Am J Clin Nutr, 90 (2): 369-376.

Flegal KM, Harlan WR, Landis JR. (1988). Secular trends in body mass index and skinfold thickness with socioeconomic factors in young adult women. Am J Clin Nutr, 48 (3): 535-543.

Aykut M, Ozturk Y, Ozer A (2002). Some factors affecting obesity and overweight status among adult women. In: 8th Eighth National Public Health Congress, Diyarbakir, Turkey, September 2002, pa-per no. 1878. Diyarbakir: Dicle University Publishing.

Lederman SA (1993). The effect of preg-nancy weight gain on later obesity. Obstet Gynecol, 82(1): 148-155.

Benkeser RM, Biritwum R, Hill AG (2012). Prevalence of overweight and obesity and perception of healthy and desirable body size in urban, Ghanaian women. Ghana Med J, 46 (2): 66-75.

Subramanian SV, Perkins JM, Özaltin E, Smith GD (2011). Weight of nations: a socioeconomic analysis of women in low-to middle-income countries. Am J Clin Nutr, 93(2): 413-421.

Monteiro CA, Moura EC, Conde WL, Barry P (2004). Socioeconomic status and obe-sity in adult populations of developing countries: A review. Bull World Health Or-gan, 82(12):940-6.


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