印度育龄男性糖尿病的危险因素(2015-2016年全国家庭健康调查)

Maya Fernandya Siahaan, Trias Mahmudiono, M. Mahmudah, Soenarnatalina Melaniani, Syahfitri Wulandari
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引用次数: 0

摘要

糖尿病(DM)是一个严重的健康问题,在许多国家持续增加,并可能导致发病率和死亡率。印度是世界上DM病例数第二高的国家,仅次于中国,20-79岁的成年人中约有7700万例DM病例,预计2045年将增加1.34亿例。成人糖尿病发病率的原因是多因素的。本研究的目的是确定和分析与印度15-49岁成年人糖尿病发病率相关的危险因素。这项定量研究采用了横断面方法。该研究数据来源于2015-2016年全国家庭健康调查(NHFS-4)的二次数据。研究样本量为印度157个农村和城市地区15-49岁的男性成年人口。研究的自变量是年龄、肉类消费、酒精消费、油炸食品消费、吸烟、经济状况、教育水平、居住地和就业状况,因变量是糖尿病的发病率,印度15-49岁成年男性的经济状况、教育水平、居住地和糖尿病发病率。logistic回归检验结果表明,年龄、吸烟习惯和经济状况有显著影响。同时,最具影响的因素是较高的经济地位,患2型糖尿病的OR高出0.628倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RISK FACTORS FOR DIABETES MELLITUS IN MEN OF PRODUCTIVE AGE IN INDIA (NATIONAL FAMILY HEALTH SURVEY 2015-2016)
Diabetes Mellitus (DM) is a serious health problem that continues to increase and can cause morbidity and mortality in many countries. India as a country with the second highest number of DM cases in the world after China has around 77 million cases in adults aged 20-79 years and is estimated to increase by 134 million in 2045. The cause of the incidence of DM in adults is multifactorial. The purpose of this study was to determine and analyze the risk factors associated with the incidence of DM in adults aged 15-49 years in India. This quantitative study uses a cross-sectional approach. This research data source was secondary data from the 2015-2016 National Family Health Survey (NHFS-4). The study sample size was a male adult population aged 15-49 years in 157 rural and urban areas in India. The independent variables studied were age, meat consumption, alcohol consumption, fried food consumption, smoking, economic status, education level, place of residence, and employment status, while the dependent variable is the incidence of DM. The results from the chi-square show that there were relationships between age, meat consumption, alcohol consumption, fried food consumption, smoking, economic status, education level, place of residence, and the incidence of DM in adult men aged 15-49 years in India. The results of the logistic regression test showed that age, smoking habits, and economic status had a significant effect. Meanwhile, the most influential factor was the higher economic status with an OR of 0.628 times higher having type 2 diabetes.
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