Evidence map›Paper›PMID 35115354›Full record

ArticleBMJ open2022

Increase in people's behavioural risks for contracting COVID-19 during the 2021 New Year holiday season: longitudinal survey of the general population in Japan.

Shuko Takahashi, Shohei Yamada, Satoshi Sasaki, Yoichi Minato, Naomi Takahashi, Keiichiro Kudo, Masaru Nohara, Ichiro Kawachi

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. 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
0.8field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

8 authors at 2 institutions in 2 countries.

Shuko TakahashiDepartment of Health and Welfare, Iwate Prefectural Government, Morioka, Japan shutakahashi-iwt@umin.ac.jp.ORCID 0000-0002-7384-1113
Shohei YamadaDepartment of Health and Welfare, Iwate Prefectural Government, Morioka, Japan.
Satoshi SasakiDepartment of Health and Welfare, Iwate Prefectural Government, Morioka, Japan.
Yoichi MinatoDepartment of Health and Welfare, Iwate Prefectural Government, Morioka, Japan.
Naomi TakahashiDepartment of Hygiene and Preventive Medicine, Graduate School of Medicine, Iwate Medical University Faculty of Medicine, Morioka, Japan.
Keiichiro KudoDepartment of Health and Welfare, Iwate Prefectural Government, Morioka, Japan.
Masaru NoharaDepartment of Health and Welfare, Iwate Prefectural Government, Morioka, Japan.
Ichiro KawachiDepartment of Social and Behavioral Sciences, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA.
Iwate Medical University · JPHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThere has been no study in Japan on the predictors of risk for acquiring SARS-CoV-2 infection based on people's behaviour during the COVID-19 pandemic. The aim of this study was to document changes in risk behaviour during the New Year's holiday season in 2021 and to identify factors associated with high-risk behaviour for infection using a quantitative assessment tool.

designA longitudinal survey.

settingMultiphasic health check-ups for the general population in Iwate Prefecture.

participantsSerial cross-sectional data were obtained using rapid online surveys of residents in Iwate Prefecture from 4 to 7 December 2020 (baseline survey) and from 5 to 7 February 2021 (follow-up survey). The data in those two surveys were available for a total of 9741 participants.

main outcome measuresWe estimated each individual's risk of acquiring SARS-CoV-2 infection based on the microCOVID calculator. We defined four trajectories of individual risk behaviours based on the probabilities of remaining at low risk, increasing to high risk, improving to low risk and persistence of high risk.

resultsAmong people in the low-risk group in the first survey, 3.6% increased to high risk, while high risk persisted in 80.0% of people who were in the high-risk group at baseline. While healthcare workers were significantly more likely to be represented in both the increasing risk and persistently high-risk group, workers in the education setting were also associated with persistence of high risk (OR 2.58, 95% CI 1.52 to 4.39; p<0.001).

conclusionsIn determining countermeasures against COVID-19 (as well as future outbreaks), health officials should take into account population changes in behaviour during large-scale public events.

Indexed as

COVID-19Cross-Sectional StudiesHolidaysHumansJapanLongitudinal StudiesPandemicsRisk-TakingSARS-CoV-2SeasonsCOVID-19epidemiologyhealth policypublic healthrisk management

Identifiers

PMID35115354
PMCPMC8814428
OpenAlexW4210393387

What OpenQuestion holds

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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.