Abstract
The aim of the study was to report the prevalence of obesity indices in individuals with diabetes and find out their association with diabetic retinopathy in the urban Indian population. Subjects (n = 1,414) were recruited from Sankara Nethralaya Diabetic Retinopathy Epidemiology And Molecular Genetics Study (SN-DREAMS-I), a cross-sectional study between 2003 and 2006. Anthropometric measurements were carried out, and all patients’ fundi were photographed using 45° four-field stereoscopic digital photography. The diagnosis of diabetic retinopathy was based on the modified Klein classification. Generalized obesity and abdominal obesity were defined using WHO Asia Pacific guidelines with the BMI (body mass index) cutoff as ≥23 kg/m2, WC (waist circumference) cutoffs as ≥90 cm in men and ≥80 cm in women and WHO guidelines using WHR (waist-to-hip ratio) cutoffs as ≥0.90 for men and ≥0.85 for women. Prevalence of obesity defined by BMI and WC was more in women compared to men, and that defined by WHR was more in men compared to women (P < 0.001). The prevalence of isolated generalized obesity, isolated abdominal obesity and combined obesity were 5.4, 10.1 and 58% in men and 4.5, 10.8 and 74.4% in women, respectively. The prevalence of any diabetic retinopathy and sight-threatening diabetic retinopathy was more in the isolated abdominal obesity group (26.35 and 6.08%, respectively) than in other subgroups. On logistic regression analysis, isolated abdominal obesity (OR 2.02, 95% CI: 1.06–3.86) and increased WHR in women (OR 1.48 95% CI: 1.10–2.38) were associated with diabetic retinopathy; BMI ≥ 23 (OR 0.66, 95% CI: 0.48–0.90) and combined obesity (OR 0.72, 95% CI: 0.53–0.99) had a protective role for any diabetic retinopathy in the overall group. In the urban south Indian population, isolated abdominal obesity and higher WHR in women were associated with diabetic retinopathy, but not with the severity of diabetic retinopathy.
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Deepa M, Farooq S, Deepa R, Manjula D, Mohan V (2009) Prevalence and significance of generalized and central body obesity in an urban Asian Indian population in Chennai, India (CURES: 47). Eur J Clin Nutr 63(2):259–267
Wang J, Russell-Aulet M, Mazariegos M, Burastero S, Thornton JC, Lichtman S et al (1992) Body fat by dual photon absorptiometry (DPA): comparisons with traditional methods in Asians, Blacks and Caucasians. Am J Hum Biol 4:501–510
Banerji MA, Faridi N, Alturi R, Chaiken RL, Lebovitz HE (1999) Body composition, visceral fat, leptin and insulin resistance in Asian Indian men. J Clin Endocrinol Metab 84:137–144
Raji A, Seely EW, Arky RA, Simonson DC (2001) Body fat distribution and insulin resistance in healthy Asian Indians and Caucasians. J Clin Endocrinol Metab 86:5366–5371
Ballard DJ, Melton LJ, Dwyer MS et al (1986) Risk factors for diabetic retinopathy: a population-based study in Rochester, Minnesota. Diabetes Care 9:334–342
van Leiden HA, Dekker JM, Moll AC et al (2002) Blood pressure, lipids, and obesity are associated with retinopathy: the Hoorn study. Diabetes Care 25:1320–1325
Klein R, Klein BE, Moss SE et al (1984) The Wisconsin epidemiologic study of diabetic retinopathy. III. Prevalence and risk of diabetic retinopathy when age at diagnosis is 30 or more years. Arch Ophthalmol 102:527–532
Klein R, Klein BE, Moss SE (1997) Is obesity related to microvascular and macrovascular complications in diabetes? The Wisconsin Epidemiologic Study of Diabetic Retinopathy. Arch Intern Med 157:650–656
Agarwal S, Raman R, Paul PG, Rani PK, Uthra S, Gayathree R, McCarty C, Kumaramanickavel G, Sharma T (2005) Sankara Nethralaya-Diabetic Retinopathy Epidemiology and Molecular Genetic Study (SN-DREAMS 1): study design and research methodology. Ophthalmic Epidemiol 12(2):143–153
Oakes JM, Rossi PH (2003) The measurements of SES in health research: current practice and steps towards a new approach. Soc Sci Med 56:769–784
Expert committee on the Diagnosis and Classification of Diabetes Mellitus (2003) Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care 26(suppl):S5–S20
Klein R, Klein BEK, Magli YL et al (1986) An alternative method of grading diabetic retinopathy. Ophthalmology 93:1183–1187
Narendra V, John RK, Raghuram A, Ravindran RD, Nirmalan PK, Thulasiraj RD (2002) Diabetic retinopathy among self-reported diabetics in southern India: a population-based assessment. Br J Ophthalmol 86:1014–1018
Kohner EM, Aldington SJ, Stratton IM, Manley SE, Holman RR, Matthews DR, Turner RC (1998) United Kingdom prospective diabetes study: diabetic retinopathy at diagnosis of non-insulin dependent diabetes mellitus and associated risk factors. Arch Ophthalmol 116(3):297–303
Ramachandran A, Snehalatha C, Vijay V et al (1998) Clustering of cardiovascular risk factors in urban Asian Indians. Diabetes Care 21(6):967–971
World Health Organization (WHO) Expert Consultation (2004) Appropriate body mass index for Asian populations and its implications for policy and intervention strategies. Lancet 363:157–163
World Health Organization (2000) The Asia Pacific perspective, redefining obesity and its treatment: International Associaton for the Study of Obesity and International Obesity Task Force. International Diabetes Institute, Melbourne
Raman R, Rani PK, Reddi Rachepalle S, Gnanamoorthy P, Uthra S, Kumaramanickavel G, Sharma T (2009) Prevalence of diabetic retinopathy in India: Sankara Nethralaya Diabetic Retinopathy Epidemiology and Molecular Genetics Study Report 2. Ophthalmology 116(2):311–318
Hughes K, Yeo PP, Lun KC, Thai AC, Wang KW, Cheah JS (1990) Obesity and body mass indices in Chinese, Malays and Indians in Singapore. Ann Acad Med Singap 19(3):333–338
Park KS, Rhee B, Lee KU, Kim S, Lee H, Koh C, Min H (1991) Intraabdominal fat is associated with decreased insulin sensitivity in healthy young men. Metabolism 40:600–603
Bergstrom RW, Newell-Morris LI, Leonetti DL, Shuman WP, Wahl PW, Fujimoto WY (1990) Association of elevated fasting C-peptide level and increased intra-abdominal fat distribution with development of NIDDM in Japanese–American men. Diabetes 39:104–111
Pouliot MC, Despres JP, Nadeau A, Moorjani S, Prud’Homme D, Lupien PJ, Tremblay A, Bouchard C (1992) Visceral obesity in men: association with glucose tolerance, plasma insulin and lipoprotein levels. Diabetes 41:826–834
Ruderman N, Chisholm D, Pi-Sunyer X, Schneider S (1998) The metabolically obese, normal-weight individual revisited. Diabetes 47:699–713
Yusuf S, Hawken S, Ounpuu S, Bautista L, Franzosi MG, Commerford P et al (2005) Obesity and the risk of myocardial infarction in 27, 000 participants from 52 countries: a case–control study. Lancet 366(9497):1640–1649
Teh BH, Pan WH, Chen CJ (1996) The reallocation of body fat toward the abdomen persists to very old age, while body mass index declines after middle age in Chinese. Int J Obes Relat Metab Disord 20(7):683–687
Heitmann BL (1991) Body fat in the adult Danish population aged 35–65 years: an epidemiological study. Int J Obes 15(8):535–545
Shimokata H, Tobin JD, Muller DC, Elahi D, Coon PJ, Andres R (1989) Studies in the distribution of body fat: I. Effects of age, sex, and obesity. J Gerontol 44:M66–M73
Yajnik CS (2006) Waist–hip ratio: a thrifty phenotype? Natl Med J India 19:200–201
Metcalf PA, Scragg RR, Schaaf D et al (2008) Comparison of markers of socioeconomic status with cardiovascular disease and diabetes risk factors in Diabetes, Heart and Health Survey. NZ Med J 121(1269):45–56
Kusuma YS, Babu BV, Naidu JM (2008) Chronic energy deficiency in some low socio-economic populations from south India: relationship between BMI, WHR and conicity index. Homo 59(1):67–79
Dowse GK, Humphrey AR, Collins VR et al (1998) Prevalence and risk factors for diabetic retinopathy in the multiethnic population of Mauritius. Am J Epidemiol 147:448–457
Rema M, Premkumar S, Anitha B, Deepa R, Pradeepa R, Mohan V (2005) Prevalence of diabetic retinopathy in urban India: the Chennai Urban Rural Epidemiology Study (CURES) eye study, I. Invest Ophthalmol Vis Sci 46(7):2328–2333
Deurenberg P, Yap M, van Staveren WA (1998) Body mass index and percent body fat: a meta-analysis among different ethnic groups. Int J Obes Relat Metab Disord 22:1164–1171
Yoshiike N, Matsumura Y, Zaman MM, Yamaguchi M (1998) Descriptive epidemiology of body mass index in Japanese adults in a representative sample from the National Nutrition Survey 1990–1994. Int J Obes Relat Metab Disord 22:684–687
Sone H, Ito H, Ohashi Y, Akanuma Y, Yamada N, Japan Diabetes Complication Study Group (2003) Obesity and type 2 diabetes in Japanese patients. Lancet 361:385
Mohan V, Vijayaprabha R, Rema M, Premalatha G, Poongothai S, Deepa R, Bhatia E, Mackay IR, Zimmet P (1997) Clinical profile of lean NIDDM in south India. Diabetes Res Clin Pract 38(2):101–108
Das S, Samal KC, Baliarsinha AK, Tripathy BB (1995) Lean (underweight) NIDDM, peculiarities and differences in metabolic and hormonal status: a pilot study. J Assoc Physicians India 43(5):339–342
Knuiman MW, Welborn TA, MacCann VJ, Stanton KG, Constable IJ (1986) Prevalence of diabetic complications in relation to risk factors. Diabetes 35:1332–1339
Ozmen B, Boyvada S (2003) The relationship between self-monitoring of blood glucose control and glycosylated haemoglobin in patients with type 2 diabetes with and without diabetic retinopathy. J Diabetes Complications 17(3):128–134
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Raman, R., Rani, P.K., Gnanamoorthy, P. et al. Association of obesity with diabetic retinopathy: Sankara Nethralaya Diabetic Retinopathy Epidemiology and Molecular Genetics Study (SN-DREAMS Report no. 8). Acta Diabetol 47, 209–215 (2010). https://doi.org/10.1007/s00592-009-0113-8
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DOI: https://doi.org/10.1007/s00592-009-0113-8