Department of Development Studies, International Institute for Population Sciences (IIPS), Mumbai, Maharashtra, India.
PLoS One. 2021 Mar 3;16(3):e0247465. doi: 10.1371/journal.pone.0247465. eCollection 2021.
Household environment condition is an important predictor of morbidity of the household members. Without forming a healthy household environment, creating a healthy population is not possible. In this background, this study assesses the impact of change in household environment conditions on morbidity.
For the empirical analysis purpose of this study, we used two waves of longitudinal data from India Human Development Survey (2004-05, 2011-12). This study is based on 34131 re-contacted households in 2011-12 from the base year 2005. The bivariate and ANOVA tests were performed to assess any short-term morbidity (diarrhoea, fever and cough) with respect to change in household environment condition from 2005 to 2011. The multivariate linear regression was performed to assess the impact of change in household environment conditions on morbidity. The multinomial logistic regression was used to assess the impact of change in household environment condition on change in morbidity.
The results from multivariate linear regression have shown that the share of household members fell sick due to any short-term morbidity (ASM) was significantly lower (β = -0.060, P<0.001) among the households who lived in clean environment condition in both the periods, 2004-05 and in 2011-12 as compared to those who were living in poor environment condition in both periods net of other socio-economic characteristics of the households. The share of household members fell sick due to any short-term morbidity has significantly declined (β = -0.051, P<0.001) among the household whose household environment condition has changed from poor in 2004-05 to clean environment in 2011-12 as compared to the households who have lived in poor environment condition in both periods in 2004-05 and 2011-12. The results of adjusted percentage from multinomial logistic regression have shown that the household members who fell sick with ASM was remained higher (4.9%; P<0.05) among the households whose environment condition was remained poor in both years in 2005 and 2011 as compared to the other households (2.7%) who remained in the better-off condition in both years in 2005 and 2011.
Considering the findings of the study, we suggest that ongoing government flagships programmes such as Swacch Bharat Mission (Clean India Mission), Pradhan Mantri Ujjwala Yojana (Prime Minister Clean Energy Scheme) and Pradhan Mantri Awas Yojana (Prime Minister Housing Scheme), and Jal Jeevan Mission (Improved Source of Drinking Water Scheme) should work in tandem to improve household environment conditions.
家庭环境状况是家庭成员发病的一个重要预测因素。如果不形成健康的家庭环境,就不可能创造健康的人口。在此背景下,本研究评估了家庭环境条件变化对发病的影响。
为了进行本研究的实证分析,我们使用了来自印度人类发展调查(2004-05 年、2011-12 年)的两波纵向数据。本研究基于 2011-12 年从基年 2005 年重新联系的 34131 个家庭。使用双变量和方差分析检验了 2005 年至 2011 年家庭环境条件变化与短期发病(腹泻、发热和咳嗽)之间的关系。使用多元线性回归评估了家庭环境条件变化对发病的影响。使用多项逻辑回归评估了家庭环境条件变化对发病变化的影响。
多元线性回归结果表明,在 2004-05 年和 2011-12 年期间,居住在清洁环境条件下的家庭中,由于任何短期发病(ASM)而患病的家庭成员比例明显较低(β=-0.060,P<0.001),而居住在清洁环境条件下的家庭则低于居住在清洁环境条件下的家庭。在 2004-05 年至 2011-12 年期间,家庭环境条件从贫困变为清洁的家庭中,由于任何短期发病而患病的家庭成员比例明显下降(β=-0.051,P<0.001)。相比之下,在 2004-05 年和 2011-12 年期间,家庭环境条件在两个时期都较差的家庭中,由于任何短期发病而患病的家庭成员比例明显较低(β=-0.051,P<0.001)。多项逻辑回归调整后的百分比结果表明,与其他家庭(2005 年和 2011 年的 2.7%)相比,在 2005 年和 2011 年两个年度中家庭环境条件一直较差的家庭(4.9%;P<0.05)中,因 ASM 而患病的家庭成员比例仍然较高。
考虑到研究结果,我们建议正在进行的政府旗舰计划,如 Swacch Bharat Mission(清洁印度使命)、Pradhan Mantri Ujjwala Yojana(总理清洁能源计划)和 Pradhan Mantri Awas Yojana(总理住房计划)以及 Jal Jeevan Mission(改善饮用水源计划),应协同工作,改善家庭环境条件。