Singh Shrikant, Puri Parul, Subramanian S V
Department of Mathematical Demography and Statistics, International Institute for Population Sciences, Govandi Station Road, Mumbai, Maharashtra India.
Department of Social and Behavioural Sciences, Harvard University T H Chan School of Public Health, Boston, MA USA.
J Diabetes Metab Disord. 2020 May 27;19(1):523-533. doi: 10.1007/s40200-020-00545-w. eCollection 2020 Jun.
Diabetes is one of the leading causes of mortality and morbidity among women in India. The burden of diabetes among women was found to increase with age and exposure to the post-partum period. The present study examines the spatial variation in the prevalence of diabetes among women in the late reproductive age-group of 35-49 years across 640 districts in India.
The study utilized data from the recent round of the National Family Health Survey, 2015-16. Age-standardized prevalence rates were calculated, followed by an examination of economic inequality using the poor-rich-ratio (PRR) and Wagstaff's concentration index. Spatial variation in the prevalence of diabetes was explored with a series of quantile maps, univariate, and bivariate LISA cluster maps. Further, to explore the district-level diabetes prevalence among women in the country, Ordinary Least Square and Spatial Autoregressive (SAR) models were used.
The study findings affirm the presence of spatial clustering in the burden of diabetes among women. The burden is relatively higher among women from the Southern and Eastern parts of the country. Findings establish obesity, hypertension, and living in urban areas as major correlates of diabetes.
Program with an aim to lower the intensity of community-based prevalence of diabetes, especially among women in their late reproductive ages, should adopt differential approaches across different states/districts in the context of their lifestyle, dietary pattern, working pattern, and other socio-cultural practices.
糖尿病是印度女性死亡和发病的主要原因之一。研究发现,女性糖尿病负担随年龄增长以及产后暴露而增加。本研究考察了印度640个地区35至49岁晚育年龄组女性糖尿病患病率的空间差异。
本研究利用了2015 - 2016年最近一轮全国家庭健康调查的数据。计算年龄标准化患病率,随后使用贫富比(PRR)和瓦格斯塔夫集中指数考察经济不平等情况。通过一系列分位数地图、单变量和双变量局部空间自相关(LISA)聚类地图探索糖尿病患病率的空间差异。此外,为探究该国各地区女性糖尿病患病率,使用了普通最小二乘法和空间自回归(SAR)模型。
研究结果证实了女性糖尿病负担存在空间聚集现象。该国南部和东部地区女性的负担相对较高。研究结果表明肥胖、高血压以及居住在城市地区是糖尿病的主要相关因素。
旨在降低社区糖尿病患病率强度的项目,尤其是针对晚育年龄女性的项目,应根据不同邦/地区的生活方式、饮食模式、工作模式及其他社会文化习俗采取不同方法。