Evidence map›Paper›PMID 37841215›Full record

ArticleInnovation in aging2023

Feeling Lonely, Engaging Online During the Outbreak of COVID-19: A Longitudinal Study of Chinese Older Adults.

Yi Xu, Dong Zhou

Abstract read
In one paragraph

Article in Innovation in aging, 2023. 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

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

2 citing papers in PubMed.

  1. Observational
  2. Article
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.

Yi XuUSC-SJTU Institute of Cultural and Creative Industry, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Dong ZhouDepartment of Cultural Industry and Management, Shanghai Jiao Tong University, Shanghai, People's Republic of China.ORCID https://orcid.org/0000-0002-1095-2668

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: There is growing concern that the coronavirus disease 2019 (COVID-19) pandemic and associated social distancing policies may exacerbate mental health problems in older adults. Most studies primarily have focused on developed countries, whereas the mental consequences of the pandemic in developing countries are less well known. This study evaluates the influences of the global pandemic in relation to loneliness and family contact among older Chinese adults and examines the roles of internet adoption in alleviating the emotional experience of loneliness. Research Design and Methods: We run individual fixed effects regression models using the 2018 and 2020 waves of the Chinese Family Panel Studies survey with 4,944 respondents aged 60 and above to capture the average within-person changes before and after the first outbreak of COVID-19 in China. We further examine the mediating effects of internet adoption on loneliness using structural equation modeling (SEM). Simultaneous SEM tested the effects of internet literacy and social network site use, and heterogeneous effects analyses were also conducted across subgroups. Results: Fixed effects estimates indicated increased loneliness and decreased family contact during the pandemic. Moreover, more older adults were found to use the internet in 2020. The fixed-effect estimations and structural equation models consistently found that older adults' use of the internet contributed to more social contacts and virtual meetings with their children, which have alleviated the emotional experience of loneliness. Discussion and Implications: Digital inclusion of older adults to adopt the internet can be beneficial to improve mental well-being and alleviate loneliness during times of pandemic crisis. The targeted acceleration of digitalization to reduce the digital divide needs to be considered.

Indexed as

Internet useLonelinessMixed empirical methodsPandemic

Identifiers

PMID37841215
PMCPMC10573732

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.