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Accession Number:
AD1064095
Title:
Characterizing the Relationship between Social Determinants and Environmental Risks to Health in Rural Gujarat, India
Descriptive Note:
Technical Report
Corporate Author:
Uniformed Services University of the Health Sciences Bethesda United States
Report Date:
2017-04-06
Pagination or Media Count:
80.0
Abstract:
Socioeconomic status SES has been identified as the fundamental cause of health disparities impacting health outcomes and access to healthcare. About 24 of the Global Burden of Disease GBD was attributed to modifiable environmental risk factors such as pollution of water, sanitation and air. These environmental health EH problems are more vulnerable in developing countries than in developed countries because of a lack of regulations and primitive systems for environmental control. The purpose of this study is to analyze the relationship between SES and EH conditions in rural villages in Gujarat, India. This study represents a secondary analysis using data collected through the SEVAK project. Descriptive statistics were used to understand the basic characteristics of the respondents and inferential statistics were used to examine the relationship between SES education and employment and EH toilet, drinking water, cooking fuel by calculating the chi-square value, the Spearman Rank Coefficient SRC, and the Odds Ratio OR. A model was developed to predict the EH conditions according to the level of SES using logistic regression. A total of 36,809 individuals completed the interviews between December 2010 and October 2016. Gender distribution was 51.7 for males and 48.3 for females. The vast majority of males 75.9 were self-employed and the majority of females 80.8 were homemakers. The proportion of people who had treated water was 76.2 for males and 74.7 for females. The proportion of people who own a toilet was 44.1 for males and 43.7 for females. 80.9 for males and 71.6 for female used the improved cooking fuel. Among the EH conditions, possession of the toilet was found to be most affected by individual SES p-value 0.01, SRC 0.256. Interaction analysis indicated college education and employment for wages created the greatest synergy.
Distribution Statement:
APPROVED FOR PUBLIC RELEASE
