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  1. Yangon University of Economics
  2. M.Econ(Statistics)

Analysis of health status and socio-economic characteristics of households in Hlaing Thar Yar Township (Thida Swe. 2019)

https://meral.edu.mm/records/8446
https://meral.edu.mm/records/8446
3932a879-85ce-4c57-bedf-894a4e24cca8
fca631fe-a7fe-4865-afc4-08cee382a316
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Title Analysis of health status and socio-economic characteristics of households in Hlaing Thar Yar Township (Thida Swe. 2019)
Language en
Publication date 2019-11-01
Authors
Thida Swe
Description
The study examines the relationship between households’ health status and their socio-economic characteristics in Hlaing Thar Yar Township. The primary data were collected from the Hlaing Thar Yar Township Survey. Ten socio-economic variables and eight health variables were collected from 217 sample households using Structured Question on the Socio-economic and Health Status. In this study, appropriate statistical analysis such as descriptive, canonical correlation analysis and binary logistic regression are used. According to the result of the canonical correlation analysis, it is found that the family members’ health status is influenced on the socio-economic characteristics of the households. And then, four canonical functions are obtained for the significant relationship between the two set of variables. In first canonical function, it is found that the occurrence of diarrhea and occurrence of measles are correlated with educational level of household head, source of drinking water, waste disposal method and toilet type. In second canonical function, it is showed that mode of illness treatment and accesses to healthcare are correlated with educational level of household head, monthly family income and waste disposal method. The third function showed that the occurrence of tuberculosis is correlated with monthly family income, household type and house condition. The fourth canonical function is similar to the third canonical function. Canonical Variables from four canonical functions are applied in order to explain the most influential variables for determining the occurrence of diseases by using binary logistic regression. In order to the result of binary logistic regression, impure source of drinking water and unhygienic waste disposal method are increased the occurrence of measles disease in the family members. It is found that the households with better educational level of household head, waste disposal method and sanitation have a reduction in the occurrence of diarrhea disease among the family members.
Thesis/dissertations
Yangon University of Economics
Daw Thu Zar Hlaing Oo
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