Selvi THANGARAJ, Jyothi JADHAV, Malappurath Suresh SHRUTHI

Bangalore’da 30 yaş ve üzeri gecekondu bölgesi sakinleri arasında obezite prevalansı ve obeziteyi etkileyen diyet faktörler

AMAÇ: Obezite ciddi, büyüyen bir problemdir ve morbidite ve mortalite için önemli bir risk faktörüdür. 30 yaş ve üzeri nüfusta Hindistan’da obezite sıklığı erkeklerde %22 ve kadınlarda %21 iken Karnataka’da erkeklerde sıklık %14, kadınlarda ise %17,3’tür. Bu çalışmanın amacı; bulaşıcı olmayan bu salgına karşı savaşımda sağlık promosyonu ve önleyici stratejileri planlamak için obezite problemini ve obeziteyi etkileyen diyet faktörlerini değerlendirmektir. GEREÇ ve YÖNTEM: Bu toplum tabanlı kesitsel çalışma 2010 yılında 30 yaş ve üzeri gecekondu bölgesi sakinleri arasında yürütüldü. Sistematik randomize örnekleme yapıldı. Örnek büyüklüğü 300 olarak hesaplandı. İstatistiksel analiz Epi info version 3.5.1 kullanılarak 2011 yılında yapıldı. BULGULAR: Çalışma grubunun %43,5’i 25 ve üzeri BKİ’ye sahipken [fazla kilolu 84 (%24,7)] ve obez 64 (%18,8)] iken, yarıdan fazlası (%56,5) normal [169 (%49,7)] veya düşük [%23 (6,8)] BKİ’ye sahipti. Artan meyve tüketimi frekansı ile düşük BKİ arasında ve artan yumurta tüketimi ile artmış BKİ arasında istatistiksel olarak anlamlı ilişki olduğu gözlenmiştir (p

Study of prevalence and dietary factors affecting obesity among slum dwellers aged 30 years and above in bangalore

AIM: Obesity is a serious, growing problem and an important risk factor for morbidity and mortality. In India prevalence is 22% among males and 21% among females aged 30 years and above, while in Karnataka there is a 14% prevalence of obesity among males and 17.3% among females. The aim of this study is to assess the problem of obesity and dietary factors influencing obesity in order to plan health promotion and prevention strategies to combat this epidemic of non-communicable diseases. METHOD: This cross-sectional community based study was carried out among urban slum dwellers aged 30 years and above, in 2010. Sampling was done by systematic random sampling. Sample size was calculated as 300. Statistical analysis was done using Epi info version 3.5.1, in the year 2011 RESULTS :More than half of the study population (56.5%) had a normal [169 (49.7%)] and underweight [23 (6.8%)] BMI while the overweight [84(24.7%)] and obese [64(18.8%)] category consisted of 148 (43.5%) subjects. Statistically significant association of decreased BMI with increasing frequency of fruits consumed (p <0.05), and increased BMI with increasing frequency of eggs consumed (p <0.05) was observed. There was a lack of correlation between BMI and eating patterns. CONCLUSION: Our study showed significant association of decreased BMI with more fruit intake and increased BMI with increased intake of high caloric food. Obesity has become a significant public health issue in India where planning strategies should be a population-based, multi-sectoral, multi-disciplinary, culturally relevant approach.

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1. Global health risks Mortality and burden of disease attributable to selected major risks. 2009;16-18. http://www.who.int/healthinfo/global_burden_disea se/GlobalHealthRisks_report_full.pdf [Access date: 20.05.2012]
2. 10 facts on obesity. World Health organization. 2010. http://who.int/features/factfiles/obesity/facts/en/ind ex.html [Access date: 20.05.2012]
3. Finucane MM, Stevens GA, Cowan MJ, Danaei G, Lin JK, Paciorek CJ et al. National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country- years and 9·1 million participants. Lancet 2011 Feb 12;377(9765):557-567.
4. International institute for population sciences (IIPS) and Macro International: 2007.National Family Health Survey (NFHS-3), 2005-2006, India: key findings.p.16-17.
5. Ebrahim S, Kinra S, Bowen L, Andersen E, Ben- Shlomo Y, Lyngdoh T et al. The Effect of Rural-to- Urban Migration on Obesity and Diabetes in India: A Cross- Sectional Study. PLoS Med 2010 April; 7(4): e1000268 http://www.plosmedicine.org/article/info%3Adoi%2 F10.1371%2Fjournal.pmed.1000268 [Access date: 20.05.2012]
6. Yadav K, Krishnan A. Changing patterns of diet, physical activity and obesity among urban, rural and slum populations in north India. Source: Comprehensive Rural Health Services Project, Ballabgarh, Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India. Obes Rev. 2008 Sep; 9(5):400-8. http://www.ncbi.nlm.nih.gov/pubmed/18627500 [Access date: 20.05.2012]
7. Misra A, Singhal N, Khurana L. Obesity, the metabolic syndrome and type 2 Diabetes in developing countries: role of dietary fats and oils. J Am Coll Nutr. 2010 Jun; 29(3 Suppl):289S-301S. http://www.ncbi.nlm.nih.gov/pubmed/20823489 [Access date: 20.05.2012]
8. Park K. Text book of preventive and social medicine. 21th ed. Jabalpur: Banarsidas Bhanot; 2011. p.368.
9. Aykroyd, W.R. and J.Mayer. Food and Nutrition Terminology. In : WHO Doc NUT/68.6, Geneva. 1968; 667.
10. Gopinath N, Chadha SL, Jain P, Shekhawat S, Tandon R et al. An epidemiological study of obesity in adults in the urban population of Delhi. J Assoc Physicians India 1994; 42: 212-215.
11. Sidik SM, Rampal L. The prevalence and factors associated with obesity among adult women in Selangor,Malaysia. Asia Pac Fam Med 2009; 8: 2. http://www.apfmj.com/content/8/1/2 [Access date:
12. Agarwal P K. Emerging Obesity in Northern Indian States: A Serious threat for Health. Paper for presentation at the IUSSP Conference on Bangkok, 2002. http://www.iussp.org/Bangkok2002/S7Agrawal.pdf [Access date: 20.05.2012]
13. Department of Women and Child Development. 1995-96. Indian Nutrition Profile. Government of India, New Delhi. p.25-26.
14. Vadera BN, Yadav SB, Yadav BS, Parmar DV, Unadkat SV. Study on Obesity and Influence of Dietary Factors on the Weight Status of an Adult Population in Jamnagar City of Gujarat: A Cross- Sectional Analytical Study. Indian J Community Med. 2010 Oct-Dec; 35(4): 482–486.
15. Lichtman SW, Pisarska K, Berman ER, Pestone M, Dowling H, Offenbacher E et al. Discrepancy between self-reported and actual caloric intake and exercise in obese subjects. N Engl J Med 1992; 327: 1893-1898. http://www.nejm.org/doi/pdf/10.1056/NEJM199212 313272701 [Access date: 20.05.2012]
16. Poppitt SD, Swann D, Black AE, Prentice AM. Assessment of selective under-reporting of food intake by both obese and non-obese women in a metabolic facility. Int J Obes 1998 Apr; 22(4):303-11. http://www.nature.com/ijo/journal/v22/n4/pdf/0800 584a.pdf [Access date: 20.05.2012]
17. Yahia N, Achkar A, Abdallah A, Rizk S. Eating habits and obesity among Lebanese university students. Nutr J. 2008; 7: 32.Published online 2008 October 30; 7: 32. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2584 644/ [Access date: 20.05.2012]
18. Peixoto MRG, Benício MHD, Jardim PV.The relationship between body mass index and lifestyle in a Brazilian adult population: a cross- sectional survey. Cad. Saúde Pública Nov 2007; 23(11):2694-2704. http://www.scielo.br/pdf/csp/v23n11/16.pdf [Access date: 20.05.2012] 20.05.2012]