Evidence map›Paper›PMID 32758125›Full record

ArticleEnvironmental health and preventive medicine2020

Mortality by occupation and industry among Japanese men in the 2015 fiscal year.

Hirokazu Tanaka, Taketo Tanaka, Koji Wada

Abstract read
In one paragraph

Article in Environmental health and preventive medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Difference in Mortality Rates by Occupation in Japanese Male Workers Aged 25 to 64 Years from 1980 to 2015.International journal of environmental research and public health · 2022
    Article
  4. Article
  5. Article
  6. An Association between Maternal Occupations and Low Birth Weight Infants in Japan from 1995 to 2015.International journal of environmental research and public health · 2021
    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

3 authors.

Hirokazu TanakaDepartment of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands.
Taketo TanakaGraduate School of Medicine, International University of Health and Welfare, 26-1 Akasaka-4chome Minato-ku, Tokyo, 107-8402, Japan.
Koji WadaGraduate School of Medicine, International University of Health and Welfare, 26-1 Akasaka-4chome Minato-ku, Tokyo, 107-8402, Japan. kwada-sgy@umin.ac.jp.ORCID http://orcid.org/0000-0002-7278-7514

Funding

Grant-in-Aid for Scientific Research(C) 17K09184Japan Society for the Promotion of Science (JSPS) Overseas Research Fellowships program grant 201960143
6 · The paper itself

Abstract

backgroundAlthough previous studies have underscored some unique inequalities in occupational mortality in Japan, many of these trends have been dramatically altered during recent decades. We analyzed mortality data by occupation and industry in Japan, to determine whether differences remained by the mid-2010s for men in working-age population.

methodsWe calculated age-standardized all-cause and cause-specific mortality, according to occupation and industry, among men aged 25-64 years in the 2015 fiscal year (1 April 2015 to 31 March 2016). Occupational and industry-specific categories were defined using the Japan Standard Occupational Classification and Japan Standard Industrial Classification, respectively. Age-standardized mortality rates were computed using 5-year age intervals. Mortality rate ratios adjusted for age and 95% confidence intervals (CIs) were estimated using Poisson regression. Cause-specific deaths were classified into four broad groups (cancers [C00-D48], cardiovascular diseases [I00-I99], external causes [V01-Y98], and all other diseases) based on the International Statistical Classification of Diseases 10th Revision (ICD-10).

resultsClear mortality differences were identified by both occupation and industry among Japanese males. All-cause mortality ranged from 53.7 (clerical workers) to 240.3 (service workers) per 100,000 population for occupation and from 54.3 (workers in education) to 1169.4 (workers in mining) for industry. In relative terms, service workers and agriculture, forestry, and fishing workers had 2.89 and 2.50 times higher all-cause mortality than sales workers. Administrative and managerial workers displayed higher mortality risk (1.86; 95% CI 1.76-1.97) than sales workers. Similar patterns of broad cause-specific mortality inequality were identified in terms of both absolute and relative measures, and all broad cause-specific deaths contributed to the differences in mortality by occupation and industry.

conclusionsSubstantial differences in mortality among Japanese male workers, according to occupation and industry, were still present in 2015.

Indexed as

Cause of DeathAdultHumansIndustryJapanMaleMiddle AgedOccupationsSocioeconomic FactorsCause of Death/trendsCensusesEpidemiologyMiddle AgedRegistriesSocioeconomic Factors

Identifiers

PMID32758125
PMCPMC7409679

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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.