Evidence map›Paper›PMID 41442666›Full record

ArticleJournal of medical Internet research2025

Age-Specific Associations Between eHealth Literacy and Sleep Quality Among Adults: Cross-Sectional Study.

Yujie Liu, Wenjie Xue, Yuhui Sheng, Suping Wang, Ruijie Gong, Shangbin Liu, Chen Xu, Yong Cai

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yujie Liu *Public Health Research Center, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 Xianxia Road, Shanghai, 200335, China, 86 021-52039999.ORCID http://orcid.org/0000-0002-6093-9509
Wenjie Xue *The Ninth People's Hospital, Huangpu Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0009-0007-1607-5102
Yuhui Sheng *Clinical School of Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.ORCID http://orcid.org/0009-0001-6356-0406
Suping WangShanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0002-4093-0574
Ruijie GongShanghai Xuhui District Centre for Disease Control and Prevention, Shanghai, China.ORCID http://orcid.org/0000-0002-4971-1802
Shangbin LiuPublic Health Research Center, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 Xianxia Road, Shanghai, 200335, China, 86 021-52039999.ORCID http://orcid.org/0000-0001-9455-5282
Chen XuPublic Health Research Center, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 Xianxia Road, Shanghai, 200335, China, 86 021-52039999.ORCID http://orcid.org/0009-0004-7158-5402
Yong CaiPublic Health Research Center, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 Xianxia Road, Shanghai, 200335, China, 86 021-52039999.ORCID http://orcid.org/0000-0002-5706-7906

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Young and middle-aged adults are vulnerable to poor sleep quality. eHealth literacy, defined as the ability to effectively access and use digital health information, has been linked to improved health behaviors and may promote better sleep outcomes. However, its relationship with sleep quality remains unclear, especially across age groups. Age-related disparities in eHealth literacy may contribute to a digital health divide in sleep outcomes. Objective: This study aimed to examine the relationship between eHealth literacy and sleep quality among adults aged 18 to 59 years in Shanghai, China, as well as explore age-stratified effects. Methods: A cross-sectional study was conducted between October and December 2022 in 3 districts of Shanghai, with 7 community health service centers randomly selected. Participants were recruited through convenience sampling to complete an online survey. eHealth literacy was assessed using the eHealth Literacy Scale, and sleep quality was measured using the Pittsburgh Sleep Quality Index. Covariates included sociodemographic characteristics, health status, and health behaviors. Logistic regression models were applied to examine the relationship between eHealth literacy and sleep quality, with stratified analyses conducted by age (emerging adults [18-29 years], established adults [30-45 years], and middle-aged adults [46-59 years]). Results: A total of 1810 participants completed the survey. The prevalence of poor sleep quality was 37.9% (686/1810). Participants with eHealth literacy scores in the 25th to 75th percentile range (odds ratio [OR] 1.594, 95% CI 1.216-2.089, P<.001) and below the 25th percentile (OR 1.584, 95% CI 1.149-2.182, P=.005) had a significantly higher likelihood of reporting poor sleep quality compared to those with scores above the 75th percentile. Age-stratified analysis indicated that this association was significant only among emerging adults (OR 2.491, 95% CI 1.133-5.479, P=.02 for scores between the 25th and 75th percentiles; OR 2.975, 95% CI 1.230-7.195, P=.02 for scores below the 25th percentile) and established adults (OR 1.439, 95% CI 1.001-2.067, P=.049 for scores between the 25th and 75th percentiles). Conclusions: This study found that eHealth literacy was associated with sleep quality among younger participants but not middle-aged ones, highlighting the digital divide in sleep health. These findings suggest that enhancing eHealth literacy may serve as an effective strategy for improving sleep outcomes. However, to ensure equitable health outcomes, interventions should be tailored to address the age-specific needs and varying levels of digital access across different groups.

Indexed as

Health LiteracySleep QualityTelemedicineAdolescentAdultAge FactorsChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung Adultdigital healtheHealth literacyemerging adultsestablished adultshealth disparitiesmiddle-aged adultssleep quality

Identifiers

PMID41442666
PMCPMC12735630

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.