Sociodemographic and family influence in elderly digital health behaviours with chronic diseases: a theoretical review

This paper focuses on the socio-demographic characteristics (age, gender, ethnicity, income, education, and occupation) and family relationships in the determination of digital health behavior among older adults. This study analyzes the literature of the last decade to determine how age, gender, ethnicity, income, education, and occupational status interact with family to influence the adoption of health technologies and shows that social and demographic factors significantly influence digital health behaviors; the role of the family in providing support and encouragement for the adoption and maintenance of these health technologies is equally critical. It also provides theoretical and practical insights for designing digital health interventions tailored to the elderly. This allows emphasizing the prevalence of a multifaceted approach to technology and policy development in consideration of the individual and family factors to promote digital involvement of the elderly. A combination of keywords and MeSH terms was used to search for articles published between 2015 and 2024 in the PubMed, Scopus, and EBSCOhost databases. The family support and collective health objectives have a huge effect on the health acceptance of the elderly population, and thus, interventions should be made to enhance these systems. Previous studies were evaluated then the research gaps and objectives were identified. Providing practical solutions and new insights into the interaction between socio-demographic factors, family dynamics, and digital health behaviors among the elderly can improve health and well-being outcomes through the use of technologies.

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