Evidence map›Paper›PMID 38205038›Full record

ArticleDigital health

Profiles of digital health literacy among university students and its association with mental health during the COVID-19 pandemic: A latent profile analysis.

Liangwen Ning, Zhou Zheng, Minghui Liu, Shang Gao, Xin Yang, Jiasi Bi, Xihe Yu, Dahai Yi

Open access · goldAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
8.9field-weighted citation impact, top 2% of its field
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

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Liangwen NingSchool of Public Administration, Jilin University, Changchun, Jilin, China.
Zhou ZhengSchool of Public Health, Jilin University, Changchun, Jilin, China.
Minghui LiuSchool of Public Health, Jilin University, Changchun, Jilin, China.
Shang GaoSchool of Public Health, Jilin University, Changchun, Jilin, China.
Xin YangSchool of Public Health, Jilin University, Changchun, Jilin, China.
Jiasi BiNorman Bethune Health Science Center, Jilin University, Changchun, Jilin, China.
Xihe YuSchool of Public Health, Jilin University, Changchun, Jilin, China.ORCID https://orcid.org/0000-0002-7076-1062
Dahai YiNorman Bethune Health Science Center, Jilin University, Changchun, Jilin, China.
Jilin University · CNFirst Bethune Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Investigating the digital health literacy of university students can facilitate their effective acquisition of health information and adoption of appropriate protective behaviors. This study aims to explore the subtypes of digital health literacy among university students during the COVID-19 pandemic and their association with mental health outcomes. Methods: From 17 November to 14 December 2022, a stratified random sampling approach was used to conduct an online questionnaire survey on digital health literacy, fear of COVID-19, and depression status among students at Jilin University, China. A total of 1060 valid responses were obtained in the survey. Latent profile analysis identified subtypes of digital health literacy and linear regression analyses were used to examine the association of digital health literacy to the mental health outcome. Results: Three latent profiles were identified: Profile 1-low digital health literacy (n = 66, 6.23%), Profile 2-moderate digital health literacy (n = 706, 66.60%), and Profile 3-high digital health literacy (n = 288, 27.17%). Results from linear regression demonstrated a negative correlation between digital health literacy and fear of COVID-19 ( Conclusions: This study indicated that the majority of university students exhibit a moderate level of digital health literacy during the COVID-19 pandemic. Additionally, the study validates a negative correlation between digital health literacy and mental health among university students.

Indexed as

Digital health literacyinfodemiclatent profile analysismental healthuniversity students

Identifiers

PMID38205038
PMCPMC10777787
OpenAlexW4390730931

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.