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Published on: August 1, 2019
Health Self-Management Behaviors as a Bridge Between Electronic Health Literacy and Health-Related Quality of Life:
Meihui Zhang1,2, Shunyu Tao2, Xin Ge2
1School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background:
Electronic health literacy (eHL) has been increasingly associated with health-related quality of life (HRQoL). However, the underlying mechanisms, especially in the general population, remain insufficiently explored.
Objective:
This study aimed to investigate the mediating role of health self-management behaviors (HSMB) in the relationship between eHL and HRQoL.
Methods:
A cross-sectional study was conducted in Shanghai, China, from October to December 2022. Participants were recruited via convenience sampling from 7 community health service centers. Data were collected through an online survey platform Wenjuanxing. Validated scales, including the eHL Scale, the adults' health self-management skill rating scale, and the 12-item short form health survey were used to measure eHL, HSMB, and HRQoL, respectively. The HRQoL was summarized into the physical component summary (PCS) and the mental component summary (MCS). Correlation analysis, multivariate linear regression with stepwise backward selection, and mediation analysis were performed to explore the relationships among eHL, HSMB, PCS, and MCS, with adjustments for sociodemographic and health-related covariates.
Results:
Among the 2364 participants recruited from urban, periurban, and rural areas, eHL scores varied significantly by demographic characteristics. Positive correlations among eHL, HSMB, PCS, and MCS were observed, with Spearman correlation coefficients ranging from 0.24 to 0.46 (P<.001). Multivariate analysis showed that eHL was significantly positively associated with PCS (R2=0.14, 95% CI 0.09-0.18, P<.001) and MCS (R2=0.23, 95% CI 0.17-0.28, P<.001). Mediation analysis indicated that eHL had a significant direct (PCS: βc=.18, 95% CI 0.13-0.23, P<.001; MCS: βc=.32, 95% CI 0.25-0.38, P<.001) and an indirect effect on HRQoL through HSMB (PCS: βc'=.11, 95% CI 0.09-0.14, P<.001; MCS: βc'=.14, 95% CI 0.10-0.17, P<.001).
Conclusions:
This study demonstrated a positive association between eHL and HRQoL, with HSMB acting as a partial mediator among the general population in Shanghai. Targeted interventions should be implemented to improve eHL and HSMB.
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