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May 24, 2026Frontiers in Public HealthOpen Access

Electronic health literacy and related factors among nursing students: a latent profile analysis

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Authors

XLXu LiangmeiNLNa LiXDXia Ding

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Overview

Multicenter cross-sectional analysis identifies electronic health literacy levels in nursing students, suggesting targeted educational strategies.

Key Points

  • To explore the levels and influencing factors of electronic health literacy among nursing interns in China.
  • Multicenter cross-sectional study design with 1,191 nursing interns from six hospitals in Anhui Province.
  • Convenience cluster sampling and data collection from October to December 2025.
  • Utilized latent profile analysis, multivariate logistic regression, and Spearman’s rank correlation for analysis.
  • Identified three classes of electronic health literacy: low eHL (28.89%), medium eHL (45.42%), and high eHL (25.69%).
  • Mean electronic health literacy score was 77.57 (SD = 14.68).
  • Higher educational levels, better health information literacy, and fewer late nights positively influenced eHL classification (p < 0.05).

Cite This Study

Liangmei et al. (2026) studied this question.

synapsesocial.com/papers/6a12950b48a0ea1665671371https://doi.org/10.3389/fpubh.2026.1845664
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