Background: The rapid digitalization of health care has reshaped access to medical services. However, older adults often remain disadvantaged due to the digital divide. Electronic health literacy (EHL) is increasingly recognized as a determinant of health-related quality of life (HRQoL); however, its mechanisms and subgroup differences in China remain underexplored. Objective: This study aimed to examine the association between EHL and multidimensional HRQoL among Chinese older adults, with a focus on the mediating roles of attitudes toward own aging (ATOA) and self-efficacy (SE), and heterogeneity by age, residence, and lifestyle. Methods: A cross-sectional survey (July-November 2024) included 8364 adults aged ≥55 years from 4 provinces using stratified multistage sampling. HRQoL was measured by physical health (PH), mental health (MH), and life satisfaction (LS). EHL was assessed with the eHealth Literacy Scale (eHEALS), ATOA with the Philadelphia Geriatric Center Morale Scale subscale, and SE with the General Self-Efficacy Scale. Analyses used seemingly unrelated regressions, PROCESS (Andrew F. Hayes) macro mediation with 5000 bootstraps, and subgroup regressions. Results: EHL was positively associated with PH (=0.273; <.001), MH (=0.190; <.001), and LS (=0.082; <.001). ATOA and SE significantly mediated these associations (all <.001). For PH, the association was partially mediated by ATOA and SE. The total effect was 0.273 (<.001), with indirect effects accounting for 52.7% of the total. For MH, inconsistent mediation was observed. The direct effect was negative (=–0.069; <.01), but indirect effects were positive, yielding a positive total effect. For LS, the effect was fully mediated by ATOA and SE. Subgroup analyses showed stronger effects in the younger-old adults (PH: =0.288, MH: =0.188, LS: =0.089; all <.001), urban residents (PH: =0.237, MH: =0.214, LS: =0.083; all <.001), and nonexercisers (PH: =0.322; <.001). Conclusions: EHL is strongly associated with HRQoL among Chinese older adults. Its effects on MH and LS operate primarily through psychosocial pathways, while PH benefits directly. The findings highlight EHL’s compensatory role, particularly for the younger-old group, rural residents, and nonexercisers, underscoring its importance in digital inclusion and healthy aging policies.
Depression subtype classification from social media posts: few-shot prompting vs. fine-tuning of large language models
BackgroundSocial media provides timely proxy signals of mental health, but reliable tweet-level classification of depression subtypes remains challenging due to short, noisy text, overlapping symptomatology,




