ArticleFrontiers in public health2026
Heterogeneous profiles of eHealth literacy in older adults with type 2 diabetes: a latent profile analysis and associated factors.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Digital diabetes services are expanding rapidly in China, and older patients' uptake of them depends on their eHealth literacy. This construct is usually reported as a single mean score, which conceals differences between patients sharing the same total. We aimed to identify latent profiles of eHealth literacy in Chinese older adults with type 2 diabetes and the characteristics associated with profile membership. Methods: A cross-sectional survey was conducted in the endocrinology departments of two tertiary hospitals in Jinzhou, Liaoning Province, between May and June 2026. Overall, 544 patients older adult(s) 60 years and over participated (mean age 71.4 ± 6.74 years, 52.21% female). Latent profile analysis was performed on the eight item-level scores of the Chinese eHealth Literacy Scale. Predictors for multinomial logistic regression were specified Results: A three-profile solution fitted best (entropy 0.895): Skill-Dependent ( Conclusion: eHealth literacy was distributed across three qualitatively distinct profiles, so a single mean score describes this population incompletely. Age, educational attainment, device access, daily internet time, diabetes self-efficacy and fear of disease progression were associated with profile membership. Being cross-sectional, these findings describe associations rather than causal effects; profile-tailored education needs prospective evaluation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.