[Quantile regression analysis of health-related quality of life of rural residents in Shaanxi and its associated factors].

Objective: This study aimed to apply quantile regression to study Hanzhong rural residents health survey data, explore the local distribution characteristics of health-related quality of life (HRQOL) and influencing factors and present the value of quantile regression applying in analysis of HRQOL.

Methods: In this cross-sectional population-based study, we evaluated the HRQOL of 2 737 subjects through filling Short-Form Health Survey (SF-36). Quantile regression model was used to compare MCS and PCS scores and evaluate the associated factors.

Results: With different quantiles MCS and PCS score, the associated factors and influence degree were different. In general, the influences of marital status, educational level, physical activity, history of disease and HRQOL in the part of the percentile scores were significant.

Conclusion: Analysis of the distribution of HRQOL of rural residents in Hanzhong and influencing factors would benefit the improvement of HRQOL of local residents.