Evidence map›Paper›PMID 39424337›Full record

ArticleJournal of epidemiology and community health2025

Impact of the COVID-19 pandemic on the incidence of cardiometabolic risk factors among workers: results from the Japan Epidemiology Collaboration on Occupational Health study.

Zobida Islam, Shohei Yamamoto, Yosuke Inoue, Toru Honda, Shuichiro Yamamoto, Tohru Nakagawa, Hiroko Okazaki, Hiroshi Ide, Toshiaki Miyamoto, Takeshi Kochi and 9 more

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Pancreatic Cancer in High-Income Asia-Pacific: A Population-Based Study.Cancer control : journal of the Moffitt Cancer Center
    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

19 authors.

Zobida IslamDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan zislam@hosp.ncgm.go.jp.ORCID http://orcid.org/0000-0002-6785-1753
Shohei YamamotoDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan.ORCID http://orcid.org/0000-0001-6503-8577
Yosuke InoueDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan.
Toru HondaHitachi Health Care Center, Hitachi Ltd, Ibaraki, Japan.
Shuichiro YamamotoHitachi Health Care Center, Hitachi Ltd, Ibaraki, Japan.
Tohru NakagawaHitachi Health Care Center, Hitachi Ltd, Ibaraki, Japan.
Hiroko OkazakiMitsui Chemicals, Inc, Tokyo, Japan.
Hiroshi IdeMitsui Chemicals, Inc, Tokyo, Japan.
Toshiaki MiyamotoNippon Steel Corporation, East Nippon Works, Chiba, Japan.
Takeshi KochiFurukawa Electric Co., Ltd, Tokyo, Japan.
Takayuki OgasawaraMitsubishi Fuso Truck and Bus Corporation, Kanagawa, Japan.
Makoto YamamotoYAMAHA CORPORATION, Shizuoka, Japan.
Naoki GonmoriEast Japan Works (Keihin), JFE Steel Corporation, Kanagawa, Japan.
Kenya YamamotoNational Institute of Occupational Safety and Health Japan, Kawasaki, Kanagawa, Japan.
Toshitaka YokoyaMitsubishi Heavy Industries, Ltd, Tokyo, Japan.
Maki KonishiDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan.
Seitaro DohiMitsui Chemicals, Inc, Tokyo, Japan.
Isamu KabeKUBOTA Corporation, Tokyo, Japan.
Tetsuya MizoueDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic and associated restrictions on human activities have greatly changed lifestyles, which might have deteriorated the cardiometabolic profile.

objectiveThis study aimed to examine the effect of the COVID-19 pandemic on the incidence of cardiometabolic risk factors among Japanese workers in fiscal years (FY) 2020 and 2021 compared with the prepandemic period.

methodThis study comprised an average of 71 025 employees in Japan who underwent annual health check-ups for at least two successive years from 2015 to 2021. Annual incidence rates from 2016 to 2021 were assessed for obesity, diabetes, hypertension, dyslipidaemia and metabolic syndrome (MetS). The observed incidence rates in 2020 and 2021 were compared with the predicted incidence based on prepandemic trends (2016 to 2019).

resultsRelative to the prepandemic, the incidence of all the outcomes, except for dyslipidaemia, significantly increased in 2020. Between FY 2016 and 2019, the adjusted mean incidence of obesity, diabetes, hypertension, dyslipidaemia and MetS was 5.0%, 1.4%, 5.3%, 17.4% and 7.6%, respectively. In FY 2020, the adjusted incidence (95% CI) of these outcomes increased to 6.02 (5.80 to 6.24), 1.84 (1.73 to 1.96), 6.62 (6.40 to 6.83), 19.31 (18.83 to 19.78) and 8.51 (8.23 to 8.78), which were higher than the predicted incidence of 5.24 (4.99 to 5.49), 1.54 (1.41 to 1.67), 6.02 (5.76 to 6.27), 18.58 (18.00 to 19.16) and 8.05 (7.71 to 8.38) for 2020, respectively. The incidence returned to the prepandemic levels in FY 2021.

conclusionResults showed a worsening of the cardiometabolic profile during the initial year of the pandemic, which was reverted in the second year to the levels before the pandemic.

Indexed as

Cardiometabolic Risk FactorsCardiovascular DiseasesCOVID-19Metabolic SyndromeOccupational HealthAdultDiabetes MellitusDyslipidemiasFemaleHumansHypertensionIncidenceJapanMaleMiddle AgedObesityCOVID-19DIABETES MELLITUSHYPERTENSIONOCCUPATIONAL HEALTH

Identifiers

PMID39424337
PMCPMC11874412

What OpenQuestion holds

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LicenceCC BY-NC
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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.