Evidence map›Paper›PMID 33526954›Full record

ArticlePersonality and individual differences2021

How did socio-demographic status and personal attributes influence compliance to COVID-19 preventive behaviours during the early outbreak in Japan? Lessons for pandemic management.

Shahadat Uddin, Tasadduq Imam, Matloob Khushi, Arif Khan, Mohammad Ali

Open access · greenAbstract read
In one paragraph

Article in Personality and individual differences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

52 citing papers in PubMed, 90 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

5 authors at 2 institutions in 1 country.

Shahadat UddinSchool of Project Management, Faculty of Engineering, The University of Sydney, Room 5050, ABS Building, Darlington, NSW 2008, Australia.
Tasadduq ImamSchool of Business and Law, CQUniversity (Melbourne), VIC 3000, L4, 120 Spencer Street, Melbourne, VIC 3000, Australia.
Matloob KhushiSchool of Computer Science, J12, Computer Science Building, The University of Sydney, Australia.
Arif KhanFaculty of Engineering, J12, Computer Science Building, The University of Sydney, Australia.
Mohammad AliWHO Collaborating Centre on eHealth, School of Public Health and Community Medicine, Faculty of Medicine, The University of New South wales, Sydney, NSW 2052, Australia.
University of Sydney · AUCentral Queensland University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study focuses on how socio-demographic status and personal attributes influence self-protective behaviours during a pandemic, with protection behaviours being assessed through three perspectives - social distancing, personal protection behaviour and social responsibility awareness. The research considers a publicly available and recently collected dataset on Japanese citizens during the COVID-19 early outbreak and utilises a data analysis framework combining Classification and Regression Tree (CART), a data mining approach, and regression analysis to gain deep insights. The analysis reveals Socio-demographic attributes - sex, marital family status and having children - as having played an influential role in Japanese citizens' abiding by the COVID-19 protection behaviours. Especially women with children are noted as more conscious than their male counterparts. Work status also appears to have some impact concerning social distancing. Trust in government also appears as a significant factor. The analysis further identifies smoking behaviour as a factor characterising subjective prevention actions with non-smokers or less-frequent smokers being more compliant to the protection behaviours. Overall, the findings imply the need of public policy campaigning to account for variations in protection behaviour due to socio-demographic and personal attributes during pandemics and national emergencies.

Indexed as

COVID-19Personal attributePersonal protection behaviourQuality of lifeSocial distancingSocial responsibility awarenessSocio-demographic status

Identifiers

PMID33526954
PMCPMC7839830
OpenAlexW3123357755

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.