Evidence map›Paper›PMID 35646759›Full record

ArticleFrontiers in public health2022

COVID-19 Preventive Behaviors and Influencing Factors in the Thai Population: A Web-Based Survey.

Kunwadee Rojpaisarnkit, Wonpen Kaewpan, Supa Pengpid, Karl Peltzer

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Kunwadee RojpaisarnkitDepartment of Public Health, Faculty of Sciences and Technology, Rajabhat Rajanagarindra University, Chachoengsao, Thailand.
Wonpen KaewpanDepartment of Public Health Nursing, Faculty of Public Health, Mahidol University, Bangkok, Thailand.
Supa PengpidDepartment of Health Education and Behavioural Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand.
Karl PeltzerDepartment of Research Administration and Development, University of Limpopo, Polokwane, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To identify factors influencing COVID-19 preventive behaviors among the Thai population. Methods: A cross-sectional web-based survey was used. A total of 6,521 Thai people completed the survey. The multiple linear regression analysis was performed to identify factors that influenced coronavirus disease 2019 (COVID-19) preventive behaviors. The Predisposing, Reinforcing, and Enabling Constructs in Educational Diagnosis and Evaluation (PRECEDE) model was applied to propose factors influencing COVID-19 preventive behaviors. Results: The factors that mostly influenced COVID-19 prevention behaviors when controlling for the other variables are social support (β = 0.173, Conclusion: The result of this study was a foundation for further studies on different groups of people to develop different strategies to adopt preventive behaviors to reduce the spread of the COVID-19.

Indexed as

COVID-19Communicable Disease ControlCross-Sectional StudiesHumansInternetThailandCOVID-19face mask wearinghand washingphysical distancingpreventive behaviors

Identifiers

PMID35646759
PMCPMC9133839

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.