Evidence map›Paper›PMID 34879866›Full record

ArticleArchives of public health = Archives belges de sante publique2021

Effect of commuting on the risk of COVID-19 and COVID-19-induced anxiety in Japan, December 2020.

Hajime Ando, Kazunori Ikegami, Tomohisa Nagata, Seiichiro Tateishi, Hisashi Eguchi, Mayumi Tsuji, Shinya Matsuda, Yoshihisa Fujino, Akira Ogami, CORoNaWork Project

Open access · goldAbstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.6field-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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
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

10 authors at 1 institution in 1 country.

Hajime AndoDepartment of Work Systems and Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Fukuoka, Japan. h-ando@med.uoeh-u.ac.jp.ORCID http://orcid.org/0000-0001-7717-0030
Kazunori IkegamiDepartment of Work Systems and Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Fukuoka, Japan.
Tomohisa NagataDepartment of Occupational Health Practice and Management, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Fukuoka, Japan.
Seiichiro TateishiDepartment of Occupational Medicine, School of Medicine, University of Occupational and Environmental Health, Japan, Fukuoka, Japan.
Hisashi EguchiDepartment of Mental Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Fukuoka, Japan.
Mayumi TsujiDepartment of Environmental Health, School of Medicine, University of Occupational and Environmental Health, Japan, Fukuoka, Japan.
Shinya MatsudaDepartment of Public Health, School of Medicine, University of Occupational and Environmental Health, Japan, Fukuoka, Japan.
Yoshihisa FujinoDepartment of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Fukuoka, Japan.
Akira OgamiDepartment of Work Systems and Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Fukuoka, Japan.
CORoNaWork Project
University of Occupational and Environmental Health Japan · JP

Funding

Ministry of Health, Labour and Welfare H30-josei-ippan-002Research for the Establishment of an Occupational Health System in Times of Disaster H30-roudou-ippan-007
6 · The paper itself

Abstract

backgroundTo prevent the spread of coronavirus disease (COVID-19), it is important to avoid 3Cs (closed spaces, crowded places, and close-contact settings). However, the risk of contact with an unspecified number of people is inevitable while commuting to and from work. In this study, we investigated the relationship between commuting, and the risk of COVID-19 and COVID-19-induced anxiety.

methodsAn internet-based questionnaire survey was conducted to obtain a dataset from 27,036 respondents. One-way commuting time was evaluated using a five-case method. The commuting distance was estimated using zip codes of the home and workplace. Logistic regression analysis was performed with the following outcomes: COVID-19 risk, close contact, infection anxiety, and infection anxiety due to commuting. Commuting distance and commuting time were analyzed separately in the model. We excluded participants with incalculable commuting distance, commuting distance exceeding 300 km, commuting distance of 0 km, or who telecommuted at least once a week.

resultsThe total number of participants included in the analysis was 14,038. The adjusted odds ratios (aORs) of using public transportation for severe acute respiratory syndrome coronavirus 2 infection were 4.17 (95% confidence interval [CI]: 2.51-6.93) (commuting time) and 5.18 (95% CI: 3.06-8.78) (commuting distance). The aOR of COVID-19 diagnosis decreased significantly with increasing commuting distance. The aORs of using public transportation to infection anxiety were 1.44 (95% CI: 1.31-1.59) (commuting time) and 1.45 (95% CI: 1.32-1.60) (commuting distance). The longer the commuting time, the more the aOR increased.

conclusionsCOVID-19 risk, close contact, and infection anxiety were all associated with the use of public transportation during commuting. Both commuting distance and time were associated with infection anxiety due to commuting, and the strength of the association increased with increase in commuting time distance. Since transportation by commuting is associated with COVID-19 risk and anxiety, we recommend the use of telecommuting and other means of work.

Indexed as

CommuteCommuting distanceCommuting timeCOVID-19Public transportation

Identifiers

PMID34879866
PMCPMC8654601
OpenAlexW4200592358

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.