Risk factors for diabetic retinopathy in self-reported rural population with diabetes
PK Rani, R Raman, A Chandrakantan, SS Pal, GM Perumal, T Sharma
Vision Research Foundation, Sankara Nethralaya Diabetic Retinopathy Project, 18, College Road, Sankara Nethralaya, Chennai - 600 006, Tamil Nadu, India
Vision Research Foundation, Sankara Nethralaya Diabetic Retinopathy Project, 18, College Road, Sankara Nethralaya, Chennai - 600 006, Tamil Nadu
Background: Diabetes and its related microvascular complications like diabetic retinopathy (DR) are showing increased prevalence in India. However, the magnitude of DR in rural population with diabetes needs exploration. Aim: To estimate the prevalence and risk factors for the presence and severity of diabetic retinopathy in the self-reported rural population with diabetes. Settings and Design: In a cross-sectional study, a total of 26,519 participants (age ≥ 30 years) attended 198 diabetic retinopathy screening camps conducted in three southern districts of Tamilnadu, India, between February 2004 and April 2006. Materials and Methods: All the participants underwent a dilated eye examination to detect DR by indirect ophthalmoscopy. Systemic and ocular risk factor estimation was done in a comprehensive examination. Statistical Analysis: Univariate and stepwise regression analyses were done to identify the independent risk factors associated with the presence and severity of retinopathy. Results: The prevalence of diabetic retinopathy was 17.6% among the self-reported rural population with diabetes. The prevalence of referable (sight threatening) retinopathy was 5.3%. Risk factors associated with the development of any DR were male gender (OR= 1.37), longer duration of diabetes (per year, OR= 1.07), lean body mass index (OR= 1.30), higher systolic blood pressure (per 10 mm Hg, OR= 1.18), and insulin treatment (OR= 1.34; P < 0.0001). Risk factors associated with referable retinopathy included longer duration of diabetes (per year, OR= 1.22), lean body mass index (OR= 1.25), higher systolic blood pressure (per 10 mm Hg, OR= 1.03), and insulin treatment (OR= 1.36; P < 0.0001).Conclusion: The study identified risk factors associated with DR in the rural population with diabetes. The results suggested that there was a need for formulating effective preventive strategies to minimize avoidable blindness due to diabetes, in rural areas.
|How to cite this article:|
Rani P K, Raman R, Chandrakantan A, Pal S S, Perumal G M, Sharma T. Risk factors for diabetic retinopathy in self-reported rural population with diabetes.J Postgrad Med 2009;55:92-96
|How to cite this URL:|
Rani P K, Raman R, Chandrakantan A, Pal S S, Perumal G M, Sharma T. Risk factors for diabetic retinopathy in self-reported rural population with diabetes. J Postgrad Med [serial online] 2009 [cited 2021 Jun 19 ];55:92-96
Available from: https://www.jpgmonline.com/text.asp?2009/55/2/92/48787
Diabetic Retinopathy (DR), a microvascular complication, develops in nearly all persons with type 1 diabetes and in more than 77% of those with type 2 diabetes, who survive for over 20 years with the disease.  The burden of diabetes is reaching an alarming proportion in India. The World Health Organization (WHO) estimates an increase in population with diabetes: from 30 million in 2000 to 80 million in 2030.  WHO also estimates that DR is responsible for 4.8% of the 37 million cases of blindness throughout the world. 
Earlier, diabetes mellitus (DM) was considered an urban disease. However, recent studies (population-based and self-reported) have shown an increasing prevalence in rural areas as well. ,, Ramachandran et al.,  showed nearly a three-fold increase in the rural prevalence of diabetes to 6.3% in 2003 compared to 2.2% in 1989. In a cross-sectional study of a self-reported population attending diabetic retinopathy screening camps in 2006, in rural areas, we found the prevalence of diabetes as 20% and that of diabetic retinopathy as 18%. 
The aim of this study was to estimate the prevalence of DR and associated risk factors in a self-reported cohort of persons with diabetes attending diabetic retinopathy screening camps in rural areas.
Materials and Methods
Between February 2004 and April 2006, 198 diabetic retinopathy screening camps were conducted in a cross-sectional study in three southern districts of Tamilnadu. The methodology of diabetic retinopathy screening camps is described in detail elsewhere.  Various measures (such as organizing awareness meetings in the community, focusing on diabetes and related complications; displaying education materials such as leaflets, banners or posters; and involving local diabetologists and volunteers from NGOs such as Lions club) were employed to maximize the effectiveness of these screening camps. The procedures followed were in accordance with the Helsinki Declaration of 1975, as revised in 2000. The Institutional Review Board approved the study.
A target population with diabetes, aged 30 years and above, underwent a comprehensive dilated eye examination for the diagnosis of diabetic retinopathy. Procedures adopted for the diagnosis of diabetes mellitus and diabetic retinopathy, and data collection for risk assessments are described below.
Diagnosis of diabetes mellitus
A patient was considered to be known diabetic, if there was a referral letter from a diabetologist or if he/she was on an antidiabetic medication. A person was considered to be a newly diagnosed individual with diabetes, if the duration of diabetes was less than a month. ,
Diagnosis of diabetic retinopathy
The binocular indirect ophthalmoscope (Keeler Instruments Inc. PA, USA) and a +20 D lens (Nikon) were used to examine the fundus. Diabetic retinopathy was clinically graded by an experienced retinal specialist as per the norms of the International Clinical Diabetic Retinopathy and Diabetic Macular Edema guidelines.  Non-referral retinopathy included cases of mild and moderate, nonproliferative diabetic retinopathy. Sight threatening diabetic retinopathy (Referable diabetic retinopathy) was defined as severe nonproliferative diabetic retinopathy (NPDR), proliferative diabetic retinopathy (PDR), and clinically significant macular edema (CSME). 
Risk factor assessment
Risk factor analysis for diabetic retinopathy included the following demographic, clinical, and ocular factors. The d emographic risk factors studied were age, gender, and family income. The systemic risk factors studied included duration of diabetes mellitus, physical activity status, alcohol intake, smoking habits, family history of diabetes mellitus, neuropathy and nephropathy history (tingling, numbness, foot ulcers, and amputated toe/foot), and diabetic treatment. All subjects underwent measurement of height and weight, after which the body mass index (BMI) was calculated using the formula: weight (kg) / height 2 (m 2 ).
Based on the BMI, individuals were classified as lean (male 20, female 19), normal (male 20 - 25, female 19 - 24), overweight (male 25 - 30, female 24 - 29) or obese (male > 30, female > 29).  Blood pressure was measured with a sphygmomanometer, with the patient in the sitting position. The ocular risk factors included details of first and last eye examinations, any visual complaint or history of laser or eye surgery. LogMAR charts were used to assess the visual acuity.
SPSS (version 9.0) was used for statistical analysis. Prevalence was expressed in percentages with a 95% confidence interval. Tests of significance such as chi-square, t-tests, and Z tests were applied appropriately. Univariate and stepwise logistic regression analyses were performed to elucidate the risk factors influencing the presence and severity of DR. The method of variable selection was forward selection; this was started with an empty model. The variable with the smallest p value, when it was the only predictor in the regression equation, was placed in the model. In each subsequent step, variables (one at a time) with the smallest P value were added to the model or equation. A p value of less than 0.05 was considered statistically significant.
A total of 26,519 persons with diabetes participated in the 198 diabetic retinopathy screening camps.
Estimation of prevalence of diabetic retinopathy
Of the 26519 individuals with diabetes, persons with known diabetes were 25860 (97.5%), and newly detected, 659 (2.5%) [Table 1]. The prevalence of diabetic retinopathy was 4671/ 26519 (17.6%). It was 4604 / 25860 (17.8%) in persons with known diabetes and 67 / 659 (10.2%) in persons with newly detected diabetes. Of the 4604 cases with diabetic retinopathy in persons with known diabetes, 1390 (30.2%) were of referable DR. Of the 67 cases with diabetic retinopathy in newly detected diabetic retinopathy, 17 (25.4%) belonged to the referable DR category. Prevalence of referable DR was more in persons with known diabetes than in persons with newly diagnosed diabetes (P Assessment of demographic, systemic, and ocular risk factors
[Table 2] and [Table 3] show the univariate analysis of various risk factors associated with the presence and severity of diabetic retinopathy. Factors associated (P ,,,,, The association showed a linear trend for any diabetic retinopathy and also for referable diabetic retinopathy. Increased duration influencing the occurrence of diabetic retinopathy and its severity was probably related to the magnitude or prolonged exposure, or both, to hyperglycemia coupled with other risk factors. While the duration of diabetes was an independent risk factor, 10% of the individuals with newly diagnosed diabetes did show diabetic retinopathy, suggesting that these patients would have been undiagnosed or undetected; in other words, the duration of diabetes and the exact duration of hyperglycemia did not go hand in hand.
Male gender was observed to be associated with the presence of any DR (1.37 times), but not its severity. Similar observations were made by Pradeepa et al., in an urban Indian population and in the Los Angeles Latino Eye Study. , The inverse relation between BMI and diabetic retinopathy was also observed in the Indian population-based studies and also by others. ,, This could be due to the catabolic effect of the lack of insulin over a long duration of hyperglycemia, resulting in lean individuals. There are evidences that South Asians have abdominal obesity despite normal body mass indices, the so called "Asian Indian phenotype"; which may explain this paradox. 
Further, it is interesting to note that in Caucasians, high BMI is observed in subjects with diabetes, but in Asian population, subjects with diabetes are lean with low BMI.  This may be linked to the fact that Asians with type 2 diabetes mellitus show lesser insulin secretion, but greater insulin sensitivity, as compared to Caucasian diabetic patients. ,
Every increase in systolic blood pressure by 10 mm of Hg showed a linear trend, around 1 - 1.2 times the risk of influencing the presence and severity of diabetic retinopathy. Such a correlation between systolic blood pressure and diabetic retinopathy was also noted by others.  The association noted with insulin therapy could be because patients with retinopathy are preferentially started on insulin by their physicians.
Retinopathy was positively associated with moderate visual impairment (6/18 - 6/60). Similar risk association with moderate visual impairment was observed in our earlier study.  Retinopathy was positively associated with the history of cataract surgery. Cataract surgery as a risk factor for DR was also reported in the Los Angeles Latino Eye Study. 
The limitation of the present study was the self-reported diabetic population and so the possibility of a selection bias. Identified risk factors were based on just point estimation; therefore, a causal relationship with diabetic retinopathy could not be proved. Nevertheless, some of the factors like systolic blood pressure could be modulated, thereby reducing the risk of preventable blindness in susceptible populations. Another limitation of the present study was DR grading that was based on indirect ophthalmoscopy and not on fundus photography grading. This could have resulted in the underestimation of the prevalence of DR.
There is a paucity of published data regarding DR prevalence as well as risk factor estimates of the rural population with diabetes. The present study gives us an important measure of the DR burden and associated risk factors in a large sample size of over 25000 individuals with diabetes, in rural settings. Therefore, there is an urgent need to formulate effective screening strategies for the early detection of diabetes and diabetic retinopathy. This would minimize the occurrence of avoidable blindness in developing nations such as India.
We acknowledge the support of the Lions Clubs International Foundation (LCIF) and RD Tata Trust, Mumbai, for providing grants to support this project.
|1||Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: Estimates for the year 2000 and projections for 2030. Diabetes Care 2004;27:1047-53.|
|2||WHO-Magnitude and causes of Visual impairment. Available from: http://www.who.int/mediacentre/factsheets/fs282/en/.November 2004 (Accessed on 16/03/2009)|
|3||Ramachandran A, Jali MV, Mohan V, Snehalatha C, Viswanathan M. High prevalence of diabetes in an urban population in South India. BMJ 1988;297:587-90. |
|4||Ramachandran A, Snehalatha C, Dharmaraj D, Viswanathan M. Prevalence of glucose intolerance in Asian Indians: Urban-rural difference and significance of upper body adiposity. Diabetes Care 1992;15:1348-55.|
|5||Rani PK, Raman R, Sharma V, Mahuli SV, Tarigopala A, Sudhir RR, et al . Analysis of a comprehensive diabetic retinopathy screening model for rural and urban diabetics in developing countries.Br J Ophthalmol 2007;91:1425-9.|
|6||Rani PK, Raman R, Agarwal S, Paul PG, Uthra S, Margabandhu G, et al . Diabetic retinopathy screening model for rural population: Awareness and screening methodology. Rural Remote Health 2005;5:350.|
|7||Wilkinson CP, Ferris FL 3rd, Klein RE, Lee PP, Agardh CD, Davis M, et al . Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales. Ophthalmology 2003;110:1677-82.|
|8||Namperumalsamy P, Nirmalan PK, Ramasamy K. Developing a screening program to detect sight-threatening diabetic retinopathy in South India. Diabetes Care 2003;26:1831-5.|
|9||Mohan V, Vijayaprabha R, Rema M, Premalatha G, Poongothai S, Deepa R, et al . Clinical profile of lean NIDDM in South India. Diabetes Res Clin Pract 1997;38:101-8.|
|10||Pradeepa R, Anitha B, Mohan V, Ganesan A, Rema M. Risk factors for diabetic retinopathy in a South Indian Type 2 diabetic population--the Chennai Urban Rural Epidemiology Study (CURES) Eye Study 4. Diabetes Med 2008;25:536-42. |
|11||Varma R, Macias GL, Torres M, Klein R, Peρa FY, Azen SP; et al . Biologic risk factors associated with diabetic retinopathy: the Los Angeles Latino Eye Study. Ophthalmology 2007;114:1332-40. |
|12||Klein R, Klein BE, Moss SE, Davis MD, DeMets DL. 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 1984;102:527-32.|
|13||McKay R, McCarty CA, Taylor HR. Diabetic retinopathy in Victoria, Australia: the visual impairment project. Br J Ophthalmol 2000;84:865-70.|
|14||Dandona L, Dandona R, Naduvilath TJ, McCarty CA, Rao GN. Population based assessment of diabetic retinopathy in an urban population in southern India. Br J Ophthalmol 1999;83:937-40.|
|15||Narendran V, John RK, Raghuram A, Ravindran RD, Nirmalan PK, Thulasiraj RD. Diabetic retinopathy among self reported diabetics in southern India: A population based assessment. Br J Ophthalmol 2002;86:1014-8.|
|16||Raji A, Seely EW, Arky RA, Simonson DC. Body fat distribution and insulin resistance in healthy Asian Indians and Caucasians. J Clin Endocrinol Metab 2001;86:5366-71|
|17||Deurenberg P, Yap M, van Staveren WA. Body mass index and percent body fat: A meta analysis among different ethnic groups. Int J Obes Relat Metab Disord 1998;22:1164-71.|
|18||Yoshiike N, Matsumura Y, Zaman MM, Yamaguchi M. 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 1998;22:684-7.|
|19||Sone H, Ito H, Ohashi Y, Akanuma Y, Yamada N. Japan Diabetes Complication Study group: Obesity and type 2 diabetes in Japanese patients. Lancet 2003;361:85.|