Literature DB >> 32375713

Inequalities in health-related quality of life and the contribution from socioeconomic status: evidence from Tibet, China.

Xinpeng Xu1, Hua You2, Hai Gu3, Jinghong Gu4, Xiaolu Li5, Nan Cui1, Yun Kou1.   

Abstract

BACKGROUND: This study aimed to understand the association between socioeconomic status (SES) and Health Related Quality of Life (HRQoL) and the contribution of SES to health inequality among Tibetans of agricultural and pastoral areas (APA) in Tibet, China.
METHODS: The data were from Health Survey of Tibetans in APA conducted in 2014. A total of 816 respondents were enrolled for the analysis Multiple linear regression was employed to examine the relationship between SES and HRQoL. Concentration index (CI) was used to measure the degree of health inequality and a Wagstaff-type CI decomposition method was applied to measure the contribution of SES to inequality.
RESULTS: SES had significant association with HRQoL among the Tibetans in APA. The high SES group was more likely to have a higher Eq-5d index (0.77 vs. 0.67, P < 0.001) and VAS (72.94 vs. 62.41, P < 0.001) than the low SES group. The Concentration index of the Eq-5d index and VAS for total sample was 0.022 and 0.026 respectively, indicating a slight pro-rich inequality among this population. The decomposition analyses showed the SES is the main contributor to health inequality and contributed 45.50 and 41.39% to inequality for the Eq-5d index and VAS, respectively.
CONCLUSION: The results showed SES is positively associated with HRQoL among Tibetans in APA. There was a slight pro-rich inequality in the health of the participants and most health inequality was attributable to SES. This study is helpful in gaining an insight into the HRQoL, health inequality and the relationship between SES and health inequality among Tibetans of APA in China.

Entities:  

Keywords:  China; Health inequality; Health related quality of life; Socioeconomic status; Tibet

Year:  2020        PMID: 32375713     DOI: 10.1186/s12889-020-08790-7

Source DB:  PubMed          Journal:  BMC Public Health        ISSN: 1471-2458            Impact factor:   3.295


  5 in total

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