Evidence map›Paper›PMID 40247308›Full record

ArticleBMC public health2025

Association among occupational class, alcohol consumption, and the risk of hospitalisations due to alcoholic liver diseases: a matched case-control study.

Shoko Nakazawa, Yuko Furuya, Kosuke Sakai, Kota Fukai, Kei Sano, Keika Hoshi, Noriko Kojimahara, Akihiro Toyota, Masaaki Korenaga, Masayuki Tatemichi

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Shoko NakazawaDepartment of Preventive Medicine, Tokai University School of Medicine, Isehara, Japan.
Yuko FuruyaDepartment of Preventive Medicine, Tokai University School of Medicine, Isehara, Japan.
Kosuke SakaiDepartment of Preventive Medicine, Tokai University School of Medicine, Isehara, Japan.
Kota FukaiDepartment of Preventive Medicine, Tokai University School of Medicine, Isehara, Japan. kota229@tokai.ac.jp.
Kei SanoDepartment of Ophthalmology, The Jikei University School of Medicine, Tokyo, Japan.
Keika HoshiCenter for Health Informatics Policy, National Institute of Public Health, Wako, Japan.
Noriko KojimaharaDepartment of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan.
Akihiro ToyotaChugoku Rosai Hospital Research Center for the Promotion of Health and Employment Support, Japan Organization of Occupational Health and Safety, Hiroshima, Japan.
Masaaki KorenagaHepatitis Information Center, The Research Center for Hepatitis and Immunology, National Institute of Global Health and Medicine, Japan Institute for Health Security, Ichikawa, Japan.
Masayuki TatemichiDepartment of Preventive Medicine, Tokai University School of Medicine, Isehara, Japan.

Funding

Grants-in-Aid for Scientific Research from the Ministry of Health, Labour and Welfare 23HC1001the Research Project on Inpatient Clinico-Occupational Database of Rosai Hospital Group 2021
6 · The paper itself

Abstract

backgroundThis study aimed to identify the occupational class and specific occupations associated with hospitalisations due to alcohol-related liver disease and alcoholic liver cirrhosis, based on the distribution of alcohol consumption.

methodsThis matched case-control study used a nationwide, multicentre, inpatient dataset from the Inpatient Clinico-Occupational Database of the Rosai Hospital Group in Japan. A total of 5,490 cases with alcohol-related liver disease and 10,961 controls were included in this study. Participants were categorised according to occupational class (blue-collar, service, professional, and manager) and industrial sector (blue-collar, service, and white-collar). Professionals in white-collar industries were set as the reference group. We calculated the odds ratios (ORs) and confidence intervals (CIs) of alcohol-related liver disease and alcoholic liver cirrhosis using conditional logistic regression models.

resultsBlue-collar workers and service workers in both the service and blue-collar industries had a higher risk of hospitalisations due to alcohol-related liver disease: The ORs (95% CIs) for alcohol-related liver disease were 1.33 (1.15-1.55) for blue-collar workers in the blue-collar industry, 1.21 (1.03-1.42) for service workers in the blue-collar industry, 1.23 (1.01-1.51) for blue-collar workers in the service industry, and 1.47 (1.25-1.72) for service workers in the service industry. Among service workers, food and drink preparatory workers and customer service workers had a higher risk of hospitalisations due to alcohol-related liver disease and alcoholic liver cirrhosis compared to professionals (reference group), with ORs of 2.28 (1.81-2.89) and 2.18 (1.64-2.89), respectively, for alcohol-related liver disease. Among blue-collar workers, skeleton construction workers had a higher risk of hospitalisations due to alcohol-related liver disease, with an OR of 2.31 (1.63-3.3). Workers in occupations with a high risk of hospitalisations due to alcohol-related liver disease had higher percentages of alcohol consumption compared to professionals.

conclusionsOccupational class and specific jobs were associated with the risk of hospitalisations due to alcohol-related liver disease and alcoholic liver cirrhosis, with alcohol consumption patterns contributing to this increased risk.

Indexed as

Alcohol DrinkingHospitalizationLiver Diseases, AlcoholicOccupationsAdultAgedCase-Control StudiesDatabases, FactualFemaleHumansJapanLiver Cirrhosis, AlcoholicMaleMiddle AgedMulticenter Studies as TopicRisk FactorsAlcohol consumptionAlcoholic liver cirrhosisAlcohol-related liver diseaseCase-control studyOccupation

Identifiers

PMID40247308
PMCPMC12004761

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.