Evidence map›Paper›PMID 40756401›Full record

ArticleFrontiers in public health2025

Latent profile and determinants of digital health literacy among older adult patients with chronic diseases: a cross-sectional study.

Yujiao Shao, Xuejun Xu, Hongyan Guo, Xiaocui Duan, Zeyu Zhang, Shuang Zhao, Xiumu Yang

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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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10citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yujiao Shao *School of Nursing, Bengbu Medical University, Bengbu, Anhui, China.
Xuejun Xu *School of Nursing, Bengbu Medical University, Bengbu, Anhui, China.
Hongyan Guo *Department of General Practice, First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
Xiaocui Duan *School of Nursing, Bengbu Medical University, Bengbu, Anhui, China.
Zeyu Zhang *Nursing Department, No. 902 Hospital of the People's Liberation Army Joint Logistics and Security Force, Bengbu, Anhui, China.
Shuang Zhao *Nursing Department, First People's Hospital Affiliated with Bengbu Medical University, Bengbu, Anhui, China.
Xiumu Yang *School of Nursing, Bengbu Medical University, Bengbu, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To examine the heterogeneity and determinants of digital health literacy among older adult patients with chronic diseases and provide evidence for targeted interventions. Methods: A convenience sample of 536 older adult patients with chronic diseases was recruited from three tertiary hospitals in Anhui Province between October 2023 and May 2024. Data were collected using structured questionnaires, including the Digital Health Literacy Assessment Scale, Social Support Rating Scale, General Self-Efficacy Scale, Brief Symptom Rating Scale, Brief Illness Perception Questionnaire, and the age-adjusted Charlson Comorbidity Index. Latent profile analysis (LPA) was conducted in Mplus 8.3. Univariate and multivariate logistic regression analyses were performed using SPSS 26.0 to identify literacy profiles and their associated factors. Results: The mean digital health literacy score was 41.36 (SD = 12.8), with an average item score of 2.76 (SD = 0.85). LPA identified three profiles: C1-Low Literacy, Passive Interaction ( Conclusion: Digital health literacy among older adult patients with chronic diseases was generally low, particularly in interactive skills, with significant heterogeneity across subgroups. Tailored strategies that address the unique needs of each profile are essential to improve digital health literacy in this population.

Indexed as

Health LiteracyAgedAged, 80 and overChinaChronic DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedSelf EfficacySocial SupportSurveys and Questionnaireschronic diseasesdigital health literacyinfluencing factorslatent profile analysisolder adult

Identifiers

PMID40756401
PMCPMC12313610

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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.