Evidence map›Paper›PMID 41131462›Full record

ArticleBMC geriatrics2025

Unravelling the association between internet use and loneliness among Chinese older adults during the COVID-19 pandemic: the role of potentially moderating and mediating factors.

Xu Zong, Jingwen Gan

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. 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.

Xu Zong *Faculty of Social Sciences, Helsinki Institute for Demography and Population Health, University of Helsinki, Unioninkatu 33, Helsinki, 00170, Finland. xu.zong@helsinki.fi.
Jingwen Gan *Faculty of Social Sciences, University of Helsinki, Helsinki, 00170, Finland. jingwen.gan@helsinki.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe benefits of Internet use in reducing loneliness among older adults have been well-documented, particularly during COVID-19 lockdowns. However, most existing research has focused on high-income countries. Studies exploring this relationship in lower-and middle-income countries are lacking, where low Internet penetration and significant digital divides persist among older adults. This study aimed to investigate the association between Internet use and loneliness among older adults in China, a large middle-income country. We further investigated the moderating effects of several demographic characteristics and COVID-19-related factors, as well as the mediating roles of social participation and online social contact in the observed associations.

methodsData from the China Health and Retirement Longitudinal Survey was used in this study (N = 7,303). We used ordered logistic regression to evaluate the association between Internet use and loneliness among adults aged 65 years and older. Additionally, we examined whether demographic characteristics, such as gender, marital status, and urban-rural region of residence, the severity of lockdown, and COVID-19 fears and anxiety, moderated this relationship. We also explored the mediating roles of social participation and online social contact.

resultsInternet use was significantly associated with lower odds of experiencing loneliness during the COVID-19 pandemic, even after adjusting for pre-COVID-19 loneliness levels. Being married further strengthened the association between Internet use and lower loneliness. Social participation and online social contact both mediated the association.

conclusionsThese findings highlight the potential of Internet use as an intervention to mitigate loneliness among older adults during major public health crises, such as the COVID-19, by promoting social participation and online social contact. This provides an implication for developing strategies to support the older population during future crises.

Indexed as

COVID-19Internet UseLonelinessPandemicsAgedAged, 80 and overChinaEast Asian PeopleFemaleHumansLongitudinal StudiesMaleSARS-CoV-2Social ParticipationCHARLSHeathy agingMental healthOlder well-beingSocial media technology

Identifiers

PMID41131462
PMCPMC12548280

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.