Area-level socioeconomic deprivation and mortality differentials in Thailand: Results from principal component analysis and cluster analysis

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Abstract

Background: Despite achievement of universal health coverage in Thailand, socioeconomic inequality in health has been a major policy concern. This study examined mortality patterns across different socioeconomic strata in Thailand. Methods: We conducted a cross-sectional analysis of the 2010 Population and Housing Census on area-level socioeconomic deprivation against the 2010 mortality from the vital registration database at the super-district level. We used principal components analysis to construct a socioeconomic deprivation index and K-mean cluster analysis to group socioeconomic status and cause-specific mortality. Results: Excess mortality rates from all diseases, except colorectal cancer, were observed among super-districts with low socioeconomic status. Spatial clustering was evident in the distribution of socioeconomic status and mortality rates. Cluster analysis revealed that super-districts which were predominantly urban tended to have low all-cause standardize mortality ratio but a high colorectal cancer-specific mortality rate. Deaths due to liver cancer, diabetes, and renal diseases were common in the low socioeconomic super-districts which hosted one third of the total Thai population. Conclusion: Socially deprived areas have an excess of overall and cause specific deaths. Populations living in more affluent areas, despite low general mortality, still have many preventable deaths such as colorectal cancer. These findings warrant future epidemiological studies investigating various causes of excessive deaths in non-deprived areas and implementation of policies to reduce the mortality gap between rich and poor areas.

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Aungkulanon, S., Tangcharoensathien, V., Shibuya, K., Bundhamcharoen, K., & Chongsuvivatwong, V. (2017). Area-level socioeconomic deprivation and mortality differentials in Thailand: Results from principal component analysis and cluster analysis. International Journal for Equity in Health, 16(1). https://doi.org/10.1186/s12939-017-0613-z

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