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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Mar 17, 2025
Date Accepted: Jun 25, 2025

The final, peer-reviewed published version of this preprint can be found here:

Health Self-Management Behaviors as a Bridge Between Electronic Health Literacy and Health-Related Quality of Life: Cross-Sectional Study From China

Zhang M, Tao S, Xin G, Zhang H, Xu Z, Gong R, Liu Y, Xu C, Wang S, Cai Y

Health Self-Management Behaviors as a Bridge Between Electronic Health Literacy and Health-Related Quality of Life: Cross-Sectional Study From China

J Med Internet Res 2025;27:e74056

DOI: 10.2196/74056

PMID: 40802975

PMCID: 12349732

Health Self-management Behaviors as a Bridge between Electronic Health Literacy and Health-related Quality of Life: Cross-Sectional Evidence from China

  • Meihui Zhang; 
  • Shunyu Tao; 
  • Ge Xin; 
  • Hongying Zhang; 
  • Zhongqing Xu; 
  • Ruijie Gong; 
  • Yujie Liu; 
  • Chen Xu; 
  • Suping Wang; 
  • Yong Cai

ABSTRACT

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 seven community health service centers. Data were collected through an online survey platform Wenjuanxing. Validated scales, including the eHealth Literacy Scale, the Adults Health Self-Management Skill Rating Scale, and the 12-item Short Form Health Survey were utilized 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 2,364 participants recruited from urban, peri-urban, and rural areas, eHL scores varied significantly by demographic characteristics. Positive correlations between 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 (RC=0.14, 95% CI = 0.09-0.18, P<.001) and MCS (RC=0.23, 95% CI = 0.17-0.28, P<.001). Mediation analysis indicated that eHL had a significant direct (PCS: βc = 0.18, 95% CI = 0.13-0.23, P<.001; MCS: βc = 0.32, 95% CI = 0.25-0.38, P<.001) and an indirect effect on HRQoL through HSMB (PCS: βc’ = 0.11, 95% CI = 0.09-0.14, P<.001; MCS: βc’ = 0.14, 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.


 Citation

Please cite as:

Zhang M, Tao S, Xin G, Zhang H, Xu Z, Gong R, Liu Y, Xu C, Wang S, Cai Y

Health Self-Management Behaviors as a Bridge Between Electronic Health Literacy and Health-Related Quality of Life: Cross-Sectional Study From China

J Med Internet Res 2025;27:e74056

DOI: 10.2196/74056

PMID: 40802975

PMCID: 12349732

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