SynthesisFrontiers in psychology2025
Influencing factors of digital health technology anxiety in the elderly: a systematic review and meta-analysis.
Synthesis in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Associations of General Self-Efficacy and Digital Health Literacy with Self-Management and Intention to Use Digital Health Services Among Adults Aged 50 Years and Older with Chronic Disease: A Cross-Sectional Study.International journal of environmental research and public health · 2026Article
- Relationship Between Generative AI Use and Life Satisfaction and the Mediating Role of AI Literacy Among Hong Kong Adults: Cross-Sectional Study.Journal of medical Internet research · 2026Article
- Techno-Hypochondria: A Concept Analysis of Wearable Technology-Induced Health Anxiety Among Healthcare Professionals-Implications for Nursing Management.Healthcare (Basel, Switzerland) · 2026Article
- Characteristics of digital health technophobia and associated factors in older cancer patients: a latent profile analysis.BMC geriatrics · 2026Article
- Digital health literacy and associated factors in older adult patients with chronic obstructive pulmonary disease: a latent profile analysis.Frontiers in public health · 2026Article
- Psychometric evaluation of the Chinese version of the abbreviated technology anxiety scale among older patients with stroke: a translation and validation study.Frontiers in public health · 2026Article
- Digital health technology empowering China's community full life cycle health management.Digital healthReview
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Authors and funding
7 authors.
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Abstract
Background: With the acceleration of global population aging, the widespread application of digital health technologies provides new opportunities for health management of older adults. However, many older adults generally face "digital health technology anxiety," which is characterized by irrational fear and resistance to emerging technologies, resulting in significantly lower rates of technology adoption than younger adults and increased health inequalities. The factors influencing digital health technology anxiety in the elderly were comprehensively evaluated through meta-analysis to provide an evidence-based foundation for developing targeted intervention measures. Methods: According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, the systematic search of Chinese and English databases (as of February 2025) included cross-sectional OR cohort studies of older adults ≥60 years old, and the outcome measures were factors influencing technology anxiety (reported as odds ratios [OR] with and corresponding 95% confidence intervals [CI]). Statistical analyses were performed using RevMan 5.3 software, combining effect sizes by fixed or random effects models. Heterogeneity was tested using the Results: Following the screening process, 11 studies were included in the analysis. The meta-analysis showed that the following factors significantly associated with technology anxiety: age (OR = 1.09, 95%CI 1.03-1.14), digital health literacy (OR = 0.67, 95%CI 0.49-0.92), monthly income (OR = 0.73, 95%CI 0.62-0.87), household registration (OR = 0.19, 95%CI 0.08-0.45), family support (OR = 0.85, 95%CI 0.81-0.90), social network (OR = 0.60, 95%CI 0.54-0.66), information application ability (OR = 0.46, 95%CI 0.28-0.74), and self-efficacy (OR = 0.96, 95%CI 0.92-0.99). Sensitivity analyses showed consistent overall results, although there was some variation in the size of the age group. Discussion: Digital health technology anxiety among the elderly is influenced by multiple factors, including individual characteristics, technological capabilities, and social support. Designing for the elderly, low-income, and rural populations is essential to improve digital literacy, optimize age-appropriate designs, and strengthen family-community support, ultimately alleviating anxiety. Future studies need to expand the sample size and include longitudinal data to validate the causal association. Systematic review registration: The protocol for this systematic review has been registered in PROSPERO (CRD42025649793, available at: https://www.crd.york.ac.uk/PROSPERO/search).
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