Anthropometric Profiles and Risk Factors of Women

Anthropometric Profiles and Risk Factors of Women

Introduction: This study was aimed to determine anthropometric profiles and risk factors among women aged between 20-64 years living in Çorum province-Middle Black Sea Region of Anatolia. Method: This descriptive and cross-sectional research was conducted during December 2014 in two family health centers region from Çorum. The population of study was consisted of registered women aged ≥20. During the research volunteer 200 women have been included to the study without sample selection.Data were collected via a 30- item questionnaire form asking socio-demographic features, health-illness status, eating habits, physical activity of women. Anthropometric profiles of women were determined by Body Mass Index and Waist-Hip Ratio. Analysis of the differences in the frequency of categorical variables was carried out by using the χ² test. Correlations between anthropometric variables were assessed using Pearson’s correlation analysis. Results: Of the study population, 27.9% were overweight and 39.6% were obese. The prevalence of abdominal obesity was 45.0%. Increase in age, low educational level, being married, being housewife, low economic status, having children, obesity in the first relatives, menopause, not consumed heavy-vegetable diet were the risk factors for women’s anthropometric profiles. Conclusion: This study has shown that overweight, obesity and abdominal obesity were prevalent among women. In addition to Body Mass Index, Waist-Hip Ratio measurements should be used, to promote health education and counselling services should be given to women in primary care services.

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  • Childs 1.World Health Organization. Global Database on Body Mass Index: an interactive surveillance tool for monitoring nutrition transition. Accessed December 5, 2014, at http://apps.who.int/bmi/index.jsp.
  • Kulie T, Slattengren A, Redmer J, Counts H, Eglash A, Schrager S. Obesity and women's health: An evidence- based review. J Am Board Fam Med 2011; 24:75-85.
  • Sağlık Bakanlığı Sağlık Araştırmaları Genel Müdürlüğü, Hacettepe Üniversitesi Sağlık Bilimleri Fakültesi Beslenme ve Diyetetik Bölümü, Ankara Numune Eğitim ve Araştırma Hastanesi. Turkey Nutrition and Health Survey (TBSA) 2010: Beslenme Durumu ve Alışkanlıklarının Değerlendirilmesi Sonuç Raporu. Sağlık Bakanlığı Yayın No: 931, Ankara 2014.
  • Türkiye Nüfus ve Sağlık Araştırması. 1998. Hacettepe Üniversitesi Nüfus Etütleri Enstitüsü Ankara, Turkey, p:130.
  • Hacettepe Üniversitesi Nüfus Etütleri Enstitüsü. 2014. “2013 Türkiye Nüfus ve Sağlık Araştırması” (TNSA). Hacettepe Üniversitesi Nüfus Etütleri Enstitüsü, T.C. Kalkınma Bakanlığı ve TÜBİTAK, Ankara, Türkiye, p:170.
  • Arslan C, & Ceviz D. Evaluation of obesity prevalence and health promoting life-style profiles of housewives and working women. Fırat University Journals of Health Sciences 2007; 21: 211 – 220.
  • World Health Organization. Waist circumference and waist–hip ratio: report of a WHO expert consultation, 2008,Geneva.
  • World Health Orgaanization. Global Infobase. Accessed January 8, 2015, at https://apps.who.int/infobase/ Indicators .aspx.
  • Iseri A, & Arslan N. Obesity in adults in Turkey: age and regional effects. European Journal of Public Health 2008; 19: 91–94.
  • World Health Organization. Diet, Nutrition and the Prevention of Chronic Diseases. WHO Technical Report Series 916, Geneva, 2003.
  • Erem C, Arslan C, Hacıhasanoglu, A, Deger O, Topbas M, Ukinc K, et al. Prevalence of obesity and associated risk factors in a Turkish population (Trabzon City, Turkey). Obes Res 2004; 12: 1117–1127.
  • Oğuz A, Temizhan A, Abaci A, Kozan O, Erol C, Ongen Z, et al. Obesity and abdominal obesity; an alarming challenge for cardio-metabolic risk in Turkish adults. The Anatolian Journal of Cardiology 2008; 8: 401-406.
  • Aykut M, & Horoz D. Prevalence of obesity among teachers employed within city town of Kayseri provinence. Erciyes Medical Journal 2011; 33: 213-218.
  • Akman M, Budak Ş, Kendir M. Obesity and related health problems: an adult outpatient clinical setting. Marmara Medical Journal 2004; 17: 113-120.
  • Ebrahimi-Mameghani M, Mehrabi E, Kamalifard M, Yavarikia P. Correlation between Body Mass Index and Central Adiposity with Pregnancy Complications in Pregnant Women. Health Promotion Perspectives 2013; 3(1):73-79.
  • Michalakisa K, Goulisb DG, Vazaiouc A, Mintziori G, Polymeris A, Abrahamian-Michalakis A. Obesity in the ageing man. Metabolism 2013; 1341-1349.
  • Hedley AA, Ogden CL, Johnson CL, Carroll MD, Curtin LR, Flegal KM. Prevalence of overweight and obesity among US children, adolescents, and adults, 1999–2002. JAMA 2004; 291: 2847–2850.
  • OECD. Obesity Update. Accessed January 25, 2015, at http://www.oecd.org/els/health-systems/Obesity-Update- 2014.pdf).
  • Koruk I, & Şahin TK. Prevalence and risk factors of obesity among 15-49 years-old house-wives in Fazilet Uluışık Health District in Konya. Genel Tıp Dergisi 2005; 15: 147- 155.
  • Sobal J & Hanson KL. Marital status, marital history, body weight and obesity. Marriage & Family Review 2011; 47: 474–504.
  • Sobal J, & Rauschenbach BS. Gender, marital status, and body weight in older U.S. adults. Gender Issues 2003; 23: 75–94.
  • Bastian LA, West NA, Corcoran C, Munger RG. Number of children and the risk of obesity in older women. Preventive Medicine 2005; 40: 99–104.
  • Gundersan EP. Childbearing and obesity in women: Weight before, during, and after pregnancy. Obstet Gynecol Clin North Am 2009; 36: 317–332.
  • Han JC, & Kim SYS. Childhood Obesity-2010: Progress and Challenges. Lancet 2010; 375:1737-1748.
  • Lizcano F, & Guzmán G. Estrogen deficiency and the origin of obesity during menopause. Biomed Res Int 2014; 2014: 757461.