Evidence map›Paper›PMID 38023039›Full record

ArticleFrontiers in psychology2023

The association between social media use and well-being during quarantine period: testing a moderated mediation model.

Leling Zhu, Shuaijie Xiao, Xinyu Yan, Shuijia Zhou, Jiemin Yang, Jiajin Yuan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 2 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

6 authors at 2 institutions in 2 countries.

Leling ZhuInstitute of Brain and Psychological Science, Sichuan Normal University, Chengdu, China.
Shuaijie XiaoInstitute of Brain and Psychological Science, Sichuan Normal University, Chengdu, China.
Xinyu YanInstitute of Brain and Psychological Science, Sichuan Normal University, Chengdu, China.
Shuijia ZhouInstitute of Brain and Psychological Science, Sichuan Normal University, Chengdu, China.
Jiemin YangInstitute of Brain and Psychological Science, Sichuan Normal University, Chengdu, China.
Jiajin YuanInstitute of Brain and Psychological Science, Sichuan Normal University, Chengdu, China.
Sichuan Normal University · CNUniversité Libre de Bruxelles · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Social media use (SMU) increased dramatically during COVID-19 due to policies such as long-term quarantine. Given that SMU has complex effects on individuals' well-being, this study aimed to explore the relationship between SMU and subjective well-being and the influencing factors in the context of the pandemic in China. Methods: A total of 895 adults (413 males) in different risk areas across China participated in this study. They provided self-reported data on subjective well-being, social media use, adaptive humor, and other demographic variables. Results: It revealed that SMU was positively associated with individual well-being, an effect partially mediated by the score of adaptive humor. Furthermore, the effect of SMU on adaptive humor was moderated by trait optimism, with the effect more robust in high (vs. low) optimistic individuals. Conclusion: This study explored the positive effects of SMU on individuals' well-being, suggesting that individuals may better cope with negative experiences and maintain well-being under quarantine by showing more adaptive humor on social media.

Indexed as

COVID-19humor styleoptimismsocial media usesubject well-being

Identifiers

PMID38023039
PMCPMC10656604
OpenAlexW4388293178

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.