Sociodemographics and Digital Health Literacy in Using Wearables for Health Promotion and Disease Prevention: Cross-Sectional Nationwide Survey in Germany.

Background: Wearable technologies have the potential to support health promotion and disease prevention. However, it remains unclear how the role of social determinants of health (SDoH) and digital determinants of health (DDoH) plays in this context.

Objective: This study investigates differences in sociodemographic factors and digital health literacy between wearable users and non-users, whether the association with wearable use varies across age groups and its potential mediator.

Methods: A cross-sectional nationwide telephone survey was conducted in November 2022 in a panel of adult internet users in Germany. Assessments included self-reported wearable use, sociodemographic factors (sex, age, education, household size and income, and residence region), and digital health literacy (measured with the eHealth Literacy Scale, eHEALS). Associations between wearable use, sociodemographic factors and digital health literacy were analyzed using binomial logistic regression models in the total sample and with age group stratification, with a supplementary mediation analysis examining digital health literacy as a mediator in the relationship between age and wearable use.

Results: Overall, 24% (223/932) of participants (52% male, mean age 55.6 years) reported using wearables for health. Wearable use was lower among participants aged 65 and above, with lower educational attainment, living in 1-2 person households, with below-average household income, and residing in smaller cities or former East Germany. Wearable use prevalence is substantially lower in older age groups (18-40: 36%; 41-64: 26%; 65+:14%). Wearable users reported higher levels of digital health literacy (mean: 30.7, SD = 5) than non-users (mean: 28.3, SD = 6). Stratified analyses indicate that the association between digital health literacy and wearable use varies by age group, with significant positive association observed in older age groups (OR = 1.00, 95% CI: 0.94 to 1.07 in age group 18-40; OR = 1.07, 95% CI: 1.03 to 1.12 in age group 41-64; OR = 1.11, 95% CI: 1.04 to 1.19 in age group 65+). Mediation analysis indicated that digital health literacy partially mediates the relationship between age and wearable use (indirect effect: coefficient = -0.0156, 95% CI: -0.0244 to -0.00791, p <.001).

Conclusions: This study indicates sociodemographic disparities in wearable use among the German population and differences in digital health literacy between wearable users and non-users. A generational divide in wearable use was identified, with older adults being less likely to embrace this technology. This was especially true for older adults with lower digital health literacy. Future public health initiatives employing health technologies should take SDoH and DDoH into consideration to ensure effective and equitable impacts.