印度育龄妇女高血压的预测因素:来自NFHS -5数据的分析

None Arvind Kumar, Tejinder Kumar, Tasneef Zargar, Bhavna Sahni
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引用次数: 0

摘要

妇女高血压不仅增加了患心血管疾病的风险,而且还导致产前和产后并发症。材料和方法:采用Probit回归模型(PRM)对农村和城市妇女分别进行分析,分析全国家庭健康调查-5期间收集的数据子集,包括7,24,115名15-49岁的妇女,以确定高血压的关键预测因素。结果:育龄妇女高血压总患病率为11%(农村10.4%,城市12%)。农村和城市女性肥胖率分别为5%和13.41%,糖尿病患病率分别为1.2%和2.6%。肥胖、未受教育、富有和服用药物的女性患病率较高,而每天食用牛奶、鸡蛋、鸡肉、水果和蔬菜的女性患病率较低。在使用PRM时,高血压的重要预测因子是年龄增加、农村居住、怀孕、体重增加、糖尿病、文盲、获得医疗保险以及酗酒和吸烟。结论:本研究的发现为支持多因素因果关系提供了有力证据。应提高对高血压的认识,特别是在农村居民和老年妇女中,强调摄入均衡的饮食,减少钠的消耗,增加水果和蔬菜的摄入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictors of Hypertension among Indian Women of Reproductive Age Group: An Analysis from NFHS -5 Data
Introduction: Hypertension among women not only augments the risk of cardiovascular diseases but also leads to antenatal and intra-natal complications. Materials and Methods: A subset of data collected during National Family Health Survey-5, comprising of 7,24,115 women, 15–49 years of age was analysed to identify key predictors of hypertension, using Probit Regression Model (PRM) which was run separately for rural and urban women. Results: Overall prevalence of hypertension among women of reproductive age group was 11% (10.4% and 12% in rural and urban areas respectively). 5% and 13.41% of women were obese and 1.2% and 2.6% were diabetic in rural and urban areas respectively. Obese, uneducated, rich women and those on medications showed higher prevalence, while women consuming milk, eggs, chicken, fruits, and vegetables daily showed lower prevalence. On using PRM, significant predictors of hypertension were increasing age, rural residence, pregnancy, increasing weight, diabetes, illiteracy, access to medical insurance, and indulgence in alcohol and smoking. Conclusion: Findings from the study contribute to the body of evidence favouring multifactorial causation. Hypertension awareness should be promoted especially among rural residents, older women, with emphasis on intake of balanced diet with less consumption of sodium and increased intake of fruits and vegetables.
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