Evidence map›Paper›PMID 33359017›Full record

ArticlePreventive medicine2021

Factors influencing social distancing to prevent the community spread of COVID-19 among Chinese adults.

Yuqi Guo, Weidi Qin, Zhiyu Wang, Fan Yang

Open access · greenAbstract read
In one paragraph

Article in Preventive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.2field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 46 citations in OpenAlex.

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  9. Modeling Key Strategies for Reducing Socio-Economic and Health Crisis: Perspective from COVID-19 Pandemic.International journal of environmental research and public health · 2022
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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

4 authors at 3 institutions in 2 countries.

Yuqi GuoSchool of Social Work, College of Health and Human Services, University of North Carolina at Charlotte, Charlotte, North Carolina, USA; School of Data Science, University of North Carolina at Charlotte, Charlotte, North Carolina, USA.
Weidi QinJack, Joseph and Morton Mandel School of Applied Social Science, Case Western Reserve University, Cleveland, OH, USA.
Zhiyu WangSchool of Public Administration, Dongbei University of Finance and Economics, Dalian, China.
Fan YangSchool of Public Administration, Dongbei University of Finance and Economics, Dalian, China. Electronic address: fyang10@dufe.edu.cn.
Dongbei University of Finance and Economics · CNCase Western Reserve University · USUniversity of North Carolina at Charlotte · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global outbreak of the coronavirus disease 2019 (COVID-19) in 2020 has been an international public health threat. Early strong social distancing efforts is needed to stop transmission of the virus. The purpose of the present study is to identify individual and environmental factors related to individuals' compliance with the recommended social distancing, as well as the moderating role of social media in influencing individuals' implementation of social distancing. A total of 2130 Chinese adults were surveyed in March 2020 during the COVID-19 pandemic. Logistic regression analyses were performed to ascertain the predictors of social distancing. Overall, the majority of respondents (95.6%) reported compliance with social distancing. Women were more likely to practice social distancing compared to men (odds ratio [OR] = 3.12, 95% confidence interval [CI] = 1.93-5.02). Psychological distress, depressive symptoms, and social media were significant predictors of social distancing after controlling for other individual and environmental factors. Social media moderated the effects of psychological distress on social distancing (OR = 0.96, 95% CI = 0.94-0.99). Findings from the study indicates that mental health status and social media are influential factors of social distancing, which have significant implications in enhancing the effectiveness of prevention strategies to contain the spread of COVID-19.

Indexed as

Physical DistancingAdolescentAdultAsian PeopleChinaCOVID-19Disease OutbreaksDisease Transmission, InfectiousFemaleHumansMalePandemicsSARS-CoV-2Surveys and QuestionnairesYoung AdultAdult ChineseCOVID-19MediaMental healthSocial distancing

Identifiers

PMID33359017
PMCPMC7774485
OpenAlexW3117337249

What OpenQuestion holds

Textmetadata
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.