诊断糖尿病的患病率及相关危险因素:来自印度大规模调查的证据

S. Akhtar, P. Dhillon
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引用次数: 36

摘要

摘要背景:印度的糖尿病负担是当代最具破坏性的。然而,到目前为止,糖尿病的可比患病率仅在有限的地理区域内可用。目的:本文提供了印度各州和地区糖尿病患病率的可比估计,并检查了与新诊断和自我报告的糖尿病相关的危险因素。环境与设计:本研究使用了2012-2013年区级住户和设施调查和2014年年度健康调查的临床、人体测量和生化数据。研究对象和方法:本文分析了血液样本的血糖水平信息,并根据世界卫生组织(1999)的标准对糖尿病进行了定义。它采用多项逻辑回归来识别糖尿病的危险因素。结果:该研究估计印度有7%的成年人患有糖尿病,其中城市(9.8%)高于农村(5.7%),男性(7.1%)高于女性(6.8%)。丧偶、老年人和患有高血压的人患糖尿病的风险非常高,无论是确诊的还是自我报告的。与印度教徒相比,穆斯林和基督教徒患糖尿病的风险更高,锡克教徒患糖尿病的风险更低。此外,相应的普通种姓、排班种姓和其他落后阶层新诊断糖尿病的风险较高,但自报患糖尿病的风险较低。结论:糖尿病患病率令人担忧的地区和州的列表为进一步的规划和研究提供了宝贵的信息。大量未确诊糖尿病患者反映出迫切需要加强地方一级和最需要诊断的人的诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prevalence of diagnosed diabetes and associated risk factors: Evidence from the large-scale surveys in India
Abstract Context: India has observed the most devastating increases in the burden of diabetes in the contemporary era. However, so far, the comparable prevalence of diabetes is only available for limited geography. Aims: The present paper provides comparable estimates of diabetes prevalence in states and districts of India and examines the associated risk factors with newly diagnosed and self-reported diabetes. Setting and Design: The study uses clinical, anthropometric, and biochemical data from District Level Household and Facility Survey (2012–2013) and Annual Health Survey (2014). Subjects and Methods: The paper analyses the information on glucose level of the blood sample and defines diabetes as per the World Health Organization (1999) criteria. It applies multinomial logistic regression to identify the risk factors of diabetes. Results: The study estimates 7% adults with diabetes in India, with a higher level in urban (9.8%) than in the rural area (5.7%), a higher proportion of males (7.1%) than females (6.8%). Widowed, older persons, and persons with high blood pressure have very high risk of both diagnosed and self-reported diabetes. Comparing to Hindus, Muslims and Christians have higher, and Sikhs have less risk of diabetes. Further, corresponding to general caste, scheduled castes, and other backward classes have a high risk of newly diagnosed but the lower risk of self-reported diabetes. Conclusions: The list of districts and states with alarming diabetes prevalence is the valuable information for further programs and research. A significant population with undiagnosed diabetes reflects an urgent need to strengthen the diagnostics at the local level and for those who need them most.
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