Evidence map›Paper›PMID 36320013›Full record

ArticleBMC public health2022

Occupation- and industry-specific cancer mortality among Japanese women from 1980 to 2015.

Bibha Dhungel, Tomoe Murakami, Stuart Gilmour, Shunya Ikeda, Koji Wada

Abstract read
In one paragraph

Article in BMC public health, 2022. 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

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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

5 authors.

Bibha DhungelGraduate School of Public Health, St. Luke's International University, Tsukiji, Tokyo, Japan.
Tomoe MurakamiGraduate School of Medicine, International University of Health and Welfare, 4-1-26 Akasaka, 107-8402, Minato City, Tokyo, Japan.
Stuart GilmourGraduate School of Public Health, St. Luke's International University, Tsukiji, Tokyo, Japan.
Shunya IkedaGraduate School of Medicine, International University of Health and Welfare, 4-1-26 Akasaka, 107-8402, Minato City, Tokyo, Japan.
Koji WadaGraduate School of Medicine, International University of Health and Welfare, 4-1-26 Akasaka, 107-8402, Minato City, Tokyo, Japan. wadakojimd@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe number of women in Japan who continue working after childbirth is on the rise. Over the past few years, Japan's cancer mortality rate has increased. About 50% of all cancer deaths among Japanese women aged 25-64 are caused by lung, gastric, pancreatic and colorectal cancers. This study aims to examine the difference in mortality risk for key cancers among women and explore the effect of the economic crisis in the mid-1990s separately for occupational and industrial categories.

methodsData from 1980 to 2015 were gathered from the Japanese Population Census and National Vital Statistics conducted in the same year. A Poisson regression analysis was used to estimate mortality risk and mortality trends for lung, gastric, pancreatic and colorectal cancer among Japanese working women aged 25-64 years.

resultsAcross most industrial and occupational groups, the trends in age-standardised cancer mortality rate for women have declined. Workers in management, security and transportation have a higher cancer mortality risk than sales workers. The risk of death from all four cancers is higher for workers in the mining and electricity industries than for wholesale and retail workers.

conclusionTo improve the health and well-being of employed Japanese women, it is crucial to monitor cancer mortality trends. Using these population-level quantitative risk estimates, industry- and occupation-specific prevention programmes can be developed to target women at higher cancer risk and enable the early detection and treatment of cancer.

Indexed as

NeoplasmsOccupationsFemaleHumansIndustryJapanMortalityRisk FactorsCancerJapanMortalityOccupational mortalityWomen

Identifiers

PMID36320013
PMCPMC9628126

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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.