Evidence Hub

Influence of social support on technophobia in older adults in urban communities: the mediating role of self-efficacy and e-health literacy, a cross-sectional study

Dan Luo, Jin Li, Chen Wang, Yan Shi, Hua-Qing Guo, Zhi-Guang Duan

BMJ Open, 2025

1,658 participants · 30 citations

Abstract

Objectives To explore the chained mediating role of self-efficacy and e-health literacy in the association between social support and technophobia in older adults in urban communities. Design A cross-sectional study conducted from June 2023 to April 2024. Setting This study was conducted in three districts of Taiyuan City, Shanxi Province, China. Participants The study enrolled 1658 older adults (> 60 years old) in urban communities in Taiyuan. Methods The analyses included assessments using the technophobia, e-health, self-efficacy and social support scales, and the mediating effects of these indices were investigated using Model 6 in SPSS V.26. Results The level of technophobia in older adults was found to be moderately high. Technophobia was negatively correlated with social support, self-efficacy and e-health literacy. Stepwise regression analysis showed that age, residential situation, health and the frequency of electronic device use were risk factors for technophobia (p<0.05). Social support could influence technophobia directly (β=−0.266). In addition, self-efficacy (β=−0.080) and e-health literacy (β=−0.098) significantly mediated the relationship between social support and technophobia. Conclusion Social support was found to affect technophobia in older adults via the independent or chained mediating effects of self-efficacy and e-health literacy.

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 1,658 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free