Ying Liang1, Peiyi Lu2. 1. 1Department of Social Work and Social Policy,School of Social and Behavioral Sciences,Nanjing University,Nanjing,China. 2. 2School of Communication and Design,Sun Yat-sen University,Guangzhou,China.
Abstract
OBJECTIVE: This study assessed the health-related quality of life (HRQOL) and the adaptation to harsh conditions (APHC) of residents living in post-earthquake zones in Sichuan Province, China, as well as the effect of HRQOL on APHC. METHODS: A sample survey was conducted in 5 counties in Sichuan in May and June 2013 (N=2000). The 12-item Short Form Health Survey (SF-12) was used to measure HRQOL. The APHC scale was self-developed and was based on real-life conditions in China. Confirmatory factor analysis and structural equation model were used to analyze how HRQOL affected APHC. RESULTS: Cronbach α coefficients indicated that the internal reliability of both scales were good. Results showed that the physical component summary significantly affected APHC, while the effect of the mental component summary was insignificant. APHC had the greatest effect on the adaptation to poor infrastructures (r=0.721) and the least effect on the adaptation to poor social security systems (r=0.608). CONCLUSIONS: The HRQOL of residents living in post-earthquake zones positively affected APHC, particularly physical health. These findings suggested the need for governmental improvement of infrastructures in post-disaster areas. (Disaster Med Public Health Preparedness. 2014;0:1-7).
OBJECTIVE: This study assessed the health-related quality of life (HRQOL) and the adaptation to harsh conditions (APHC) of residents living in post-earthquake zones in Sichuan Province, China, as well as the effect of HRQOL on APHC. METHODS: A sample survey was conducted in 5 counties in Sichuan in May and June 2013 (N=2000). The 12-item Short Form Health Survey (SF-12) was used to measure HRQOL. The APHC scale was self-developed and was based on real-life conditions in China. Confirmatory factor analysis and structural equation model were used to analyze how HRQOL affected APHC. RESULTS: Cronbach α coefficients indicated that the internal reliability of both scales were good. Results showed that the physical component summary significantly affected APHC, while the effect of the mental component summary was insignificant. APHC had the greatest effect on the adaptation to poor infrastructures (r=0.721) and the least effect on the adaptation to poor social security systems (r=0.608). CONCLUSIONS: The HRQOL of residents living in post-earthquake zones positively affected APHC, particularly physical health. These findings suggested the need for governmental improvement of infrastructures in post-disaster areas. (Disaster Med Public Health Preparedness. 2014;0:1-7).