An Analyzing the Socio-Demographic Variables Impact on Health Status of Bangladesh

M. Howlader
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引用次数: 4

Abstract

This study scrutinizes socio-demographic variables impact upon health status. Ordinary Least squares (OLS), Probit and Tobit regression models have used for examining socio-demographic parameters shock. All of the three models are statistically significant. Tobit model produces better result than other two models. This analysis provides a valuable contribution in that individual data gives an insight on how to improve you overall health status. This study finds that age, degree of religion, income, education, employment status, marital status, health expenditure, provider health service quality, and working environment have a large effect on health status. Other variables such as gender, living quarter, and body mass index, and smoking status also significantly affect health status.
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分析社会人口变量对孟加拉国健康状况的影响
本研究详细考察了社会人口变量对健康状况的影响。普通最小二乘(OLS), Probit和Tobit回归模型已用于检查社会人口参数冲击。三种模型均具有统计学显著性。Tobit模型的结果优于其他两种模型。这种分析提供了有价值的贡献,因为个人数据提供了如何改善整体健康状况的见解。本研究发现,年龄、宗教程度、收入、受教育程度、就业状况、婚姻状况、卫生支出、提供者卫生服务质量和工作环境对健康状况有较大影响。性别、居住地、体重指数、吸烟状况等其他变量也对健康状况有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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