Evidence map›Paper›PMID 41200540›Full record

ArticleDigital health

Exploring generational and educational disparities in online health information seeking in China: The moderating role of internet use.

Lijuan Zhao, Tianyuan Liu

Abstract 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Lijuan ZhaoSchool of Public Administration, Central South University, Changsha, China.ORCID https://orcid.org/0000-0002-6836-9205
Tianyuan LiuSchool of Sociology, Wuhan University, Wuhan, China.ORCID https://orcid.org/0000-0001-6277-2725

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the generational and educational gaps in online health information seeking (OHIS) in China and to analyze the connections between internet use and these disparities. Methods: Utilizing data from the Chinese General Social Survey 2021, binary logistic regression analysis was employed to examine the associations between age groups (18-40 years, 41-59 years, and ≥60 years), educational levels (middle school or below, high school, and college or above), and OHIS. Furthermore, we calculated the marginal effects of the main predictors at different levels of the moderator, along with the second difference between distinct levels of the main predictor, to rigorously assess the moderating effect of internet use. Results: The results indicated significant generational differences, with middle-aged and older adults less likely to engage in OHIS than younger adults. A clear educational gap was also revealed, as individuals with high school and college attainments were more inclined to engage in OHIS than those with a middle school education or below. Importantly, the interaction effect demonstrated the association between internet use and narrowing these generational and educational disparities. Conclusions: This study sheds light on generational and educational gaps in OHIS in China, investigating the relationship between internet use and the reduction of these disparities in OHIS.

Indexed as

CGSSeducational gapsgenerational gapsinternet usageOnline health information seeking

Identifiers

PMID41200540
PMCPMC12586879

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.