Evidence map›Paper›PMID 34587654›Full record

ArticleJournal of occupational health2021

A cross-sectional study of the association between frequency of telecommuting and unhealthy dietary habits among Japanese workers during the COVID-19 pandemic.

Yoshiko Kubo, Tomohiro Ishimaru, Ayako Hino, Masako Nagata, Kazunori Ikegami, Seiichiro Tateishi, Mayumi Tsuji, Shinya Matsuda, Yoshihisa Fujino, CORoNaWork Project

Abstract read
In one paragraph

Article in Journal of occupational health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

10 authors.

Yoshiko KuboDepartment of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.ORCID https://orcid.org/0000-0002-3973-8016
Tomohiro IshimaruDepartment of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.ORCID https://orcid.org/0000-0002-9334-1423
Ayako HinoDepartment of Mental Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.ORCID https://orcid.org/0000-0002-4051-5311
Masako NagataDepartment of Occupational Health Practice and Management, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.ORCID https://orcid.org/0000-0002-2459-2624
Kazunori IkegamiDepartment of Work Systems and Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.ORCID https://orcid.org/0000-0001-5486-8639
Seiichiro TateishiDepartment of Occupational Medicine, School of Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.ORCID https://orcid.org/0000-0002-9774-6479
Mayumi TsujiDepartment of Environmental Health, School of Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.ORCID https://orcid.org/0000-0002-9579-4418
Shinya MatsudaDepartment of Preventive Medicine and Community Health, School of Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.ORCID https://orcid.org/0000-0002-8472-8909
Yoshihisa FujinoDepartment of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.ORCID https://orcid.org/0000-0002-9126-206X
CORoNaWork Project

Funding

Anshin ZaidanChugai PharmaceuticalCollabo-Health Study GroupHitachi Systems, Ltd.Ministry of Health, Labour and Welfare H30-josei-ippan-002Ministry of Health, Labour and Welfare H30-roudou-ippan-007University of Occupational and Environmental Health
6 · The paper itself

Abstract

objectiveDue to the COVID-19 pandemic, telecommuting has become a new way of working that has not only changed individuals' work, but also their health and lifestyle. We examined the relationship between telecommuting frequency and unhealthy dietary habits among Japanese workers.

methodsA total of 33,302 workers completed an Internet survey about telecommuting and dietary habits. Data from 13,468 office workers who telecommuted were analyzed. Telecommuting frequency during the COVID-19 pandemic was extracted from a questionnaire. The odds ratios (ORs) of four types of dietary habits, namely, skipping breakfast, solitary eating, lower meal frequency, and meal substitution associated with telecommuting frequency were estimated using multilevel logistic regression nested in the prefecture of residence to control for differences in residential area.

resultsThe multivariate OR of skipping breakfast was 1.15 (95% CI: 1.03-1.29, p = .013) for participants who telecommuted in excess of four days per week compared to those who rarely telecommuted. Similarly, the OR of solitary eating, lower meal frequency and meal substitution were 1.44 (95% CI: 1.28-1.63, p < .001), 2.39 (95% CI: 1.66-3.44, p < .001), and 1.26 (95% CI: 1.04-1.51, p = .015) for those who telecommuted in excess of four days per week compared to those who rarely telecommuted. There was a statistically significant increase in the dose-response trend in ORs of solitary eating (p for trend <.001), lower meal frequency (p for trend <.001), and meal substitution (p for trend = .001) with increasing telecommuting frequency.

conclusionTelecommuters may develop unhealthy dietary habits, indicating the need for strategies to help telecommuters manage their nutrition and diet.

Indexed as

Feeding BehaviorMealsAdultCOVID-19Cross-Sectional StudiesFemaleHumansJapanMaleMiddle AgedOdds RatioTeleworkingbreakfastCOVID-19feeding behaviorJapanmeal timesteleworking

Identifiers

PMID34587654
PMCPMC8481007

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.