The diabetes epidemic is expanding rapidly in India, with 69.2 million people living with diabetes in 2015. This study assessed the spatial pattern and determinants of diagnosed diabetes prevalence in the districts of six states and one union territory (UT) in southern India – a region that has a high prevalence of diabetes. Using cross-sectional population-based survey data from the 2012–13 District Level Household and Facility Survey-4, the prevalence and magnitude of diagnosed diabetes at district level for the population aged 18 years and above were computed. Moran’s I was calculated to explore the spatial clustering of diagnosed diabetes prevalence. Ordinary Least Square (OLS) and Spatial Lag (SL) regression models were carried out to investigate the spatial determinants of diagnosed diabetes prevalence. The prevalence of diagnosed diabetes was found to be substantially higher than that of self-reported diabetes in southern India (7.64% vs 2.38%). Diagnosed diabetes prevalence in the study area varied from 10.52% in Goa to 4.89% in Telangana. The Moran’s I values signified positive moderate autocorrelation. Southern India had 14.15 million individuals with diagnosed diabetes in 2012–13. Bangalore had the highest number of persons with diagnosed diabetes, and Palakkad had the smallest number. In the OLS and SL models, the proportion of people with secondary education and above, wealthy and Christian populations were found to be significant determinants of diagnosed diabetes prevalence. In addition, in the OLS model, the proportion of Scheduled Tribe population showed a negative relationship with diagnosed diabetes prevalence. In order to prevent or postpone the onset age for diabetes, there is a need to raise awareness about diabetes in India.

中文翻译：

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印度南部诊断糖尿病的空间格局和决定因素：来自 2012-13 年基于人群的调查的证据

印度的糖尿病流行正在迅速扩大，2015 年有 6920 万人患有糖尿病。本研究评估了印度南部六个州和一个联邦领土 (UT) 地区诊断糖尿病患病率的空间格局和决定因素 - 一个地区是糖尿病患病率高的国家。使用来自 2012-13 年区级家庭和设施调查-4 的基于人口的横断面调查数据，计算了 18 岁及以上人口在区级诊断糖尿病的患病率和程度。莫兰的一世计算以探索诊断糖尿病患病率的空间聚类。进行了普通最小二乘 (OLS) 和空间滞后 (SL) 回归模型来研究诊断糖尿病患病率的空间决定因素。在印度南部，确诊糖尿病的患病率明显高于自我报告的糖尿病患病率（7.64% vs 2.38%）。研究区确诊的糖尿病患病率从果阿邦的 10.52% 到特伦甘纳邦的 4.89% 不等。莫兰一世值表示正中度自相关。2012-13 年，印度南部有 1415 万人被诊断患有糖尿病。班加罗尔被诊断出患有糖尿病的人数最多，而帕拉卡德的人数最少。在 OLS 和 SL 模型中，具有中等教育及以上学历的人口、富裕人口和基督徒人口的比例被发现是诊断糖尿病患病率的重要决定因素。此外，在OLS模型中，预定部落人口的比例与诊断出的糖尿病患病率呈负相关。为了预防或推迟糖尿病的发病年龄，有必要提高印度对糖尿病的认识。