ArticleFrontiers in public health2026
Network analysis of influencing factors on rural residents' health communication behaviors: a social-ecological perspective.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: This study aims to construct a network structure of influencing factors on rural residents' health communication behaviors based on the Social-Ecological Model, employing network analysis techniques to identify core factors. The findings will serve as a theoretical and practical reference for developing evidence-based health promotion programs tailored to rural areas. Methods: This study was a cross-sectional survey. A total of 1,549 rural residents from 10 villages of Ningxia Province in China were recruited between July-20th and September-20th, 2023. Based on the Social-Ecological Model of rural residents, three levels of factors: individual-level, interpersonal-level, and environmental-level were assessed using questionnaire. Multi-level regression models were employed using SPSS. In addition, network analysis of factors influencing health communication behaviors of rural residents was conducted using R4.4.2 software. Results: The mean score of health communication behaviors of rural residents was (5.16 ± 1.68). Multiple-level regression results showed that seven individual level factors (gender ( Conclusion: The overall level of health communication behaviors among rural residents remains low, which is shaped by multi-level (individual, interpersonal, and environmental) and multi-factorial interactions. Notably, social support is a central factor in this complex network, serving as both a pivotal hub and a mediating mechanism connecting the various variables. Future research should adopt a multi-dimensional approach to enhance health communication behaviors through coordinated interventions targeting individual agency, interpersonal networks, and environmental policies.
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