Evidence map›Paper›PMID 31750612›Full record

ArticleJournal of occupational health2020

Association between anthropometric indices of obesity and risk of cardiovascular disease in Japanese men.

Mi Xiang, Huanhuan Hu, Teppei Imai, Akiko Nishihara, Naoko Sasaki, Takayuki Ogasawara, Ai Hori, Tohru Nakagawa, Shuichiro Yamamoto, Toru Honda and 21 more

Abstract readComparative Study
In one paragraph

Article in Journal of occupational health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Development of Data Mining Algorithms for Identifying the Best Anthropometric Predictors for Cardiovascular Disease: MASHAD Cohort Study.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2023
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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

31 authors.

Mi XiangDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine, Tokyo, Japan.
Huanhuan HuDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0001-8558-2895
Teppei ImaiAzbil Corporation, Tokyo, Japan.
Akiko NishiharaAzbil Corporation, Tokyo, Japan.
Naoko SasakiMitsubishi Fuso Truck and Bus Corporation, Kanagawa, Japan.
Takayuki OgasawaraMitsubishi Fuso Truck and Bus Corporation, Kanagawa, Japan.
Ai HoriDepartment of Global Public Health, University of Tsukuba, Ibaraki, Japan.
Tohru NakagawaHitachi Ltd., Ibaraki, Japan.
Shuichiro YamamotoHitachi Ltd., Ibaraki, Japan.
Toru HondaHitachi Ltd., Ibaraki, Japan.
Hiroko OkazakiMitsui Chemicals, Inc., Tokyo, Japan.
Akihiko UeharaSeijinkai Shizunai Hospital, Hokkaidō, Japan.
Makoto YamamotoYAMAHA CORPORATION, Shizuoka, Japan.
Toshiaki MiyamotoNippon Steel Corporation Kimitsu Works, Chiba, Japan.
Takeshi KochiFurukawa Electric Co., Ltd., Tokyo, Japan.
Masafumi EguchiFurukawa Electric Co., Ltd., Tokyo, Japan.
Taizo MurakamiMizue Medical Clinic, Keihin Occupational Health Center, Kanagawa, Japan.
Makiko ShimizuMizue Medical Clinic, Keihin Occupational Health Center, Kanagawa, Japan.
Kentaro TomitaMitsubishi Plastics, Inc., Tokyo, Japan.
Satsue NagahamaAll Japan Labour Welfare Foundation, Tokyo, Japan.
Akiko NanriDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine, Tokyo, Japan.
Maki KonishiDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine, Tokyo, Japan.
Shamima AkterDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine, Tokyo, Japan.
Keisuke KuwaharaDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine, Tokyo, Japan.
Ikuko KashinoDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine, Tokyo, Japan.
Miwa YamaguchiDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine, Tokyo, Japan.
Isamu KabeFurukawa Electric Co., Ltd., Tokyo, Japan.
Tetsuya MizoueDepartment of Epidemiology and Prevention, National Center for Global Health and Medicine, Tokyo, Japan.
Naoki KunugitaDepartment of Environmental Health, National Institute of Public Health, Saitama, Japan.
Seitaro DohiMitsui Chemicals, Inc., Tokyo, Japan.
Japan Epidemiology Collaboration on Occupational Health Study Group

Funding

Industrial Health Foundation 140202-01Industrial Health Foundation 150903-01Industrial Health Foundation 170301-01Japan Society for the Promotion of Science 16H05251National Center for Global Health and Medicine 28-Shi-1206
6 · The paper itself

Abstract

objectivesWe aimed to compare the association of body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) with risk of cardiovascular disease (CVD) among middle-aged working Japanese men.

methodsA nested case-control study was performed among middle-aged male employees who underwent periodic health checkup. A total of 241 CVD cases were identified and matched individually on age, gender, and worksite with 1205 controls. Data on BMI, WC, WHtR, smoking, hypertension, diabetes, and dyslipidemia collected at 4 years before the event/index date were retrieved. Associations between BMI, WC, WHtR, and CVD risk were assessed by using conditional logistic regression models.

resultsThe strength of the association of BMI, WC, and WHtR with CVD risk was similar. The smoking-adjusted odds ratio (95% confidence interval) for CVD was 1.60 (1.38-1.85), 1.53 (1.33-1.78), and 1.56 (1.35-1.81) for a 1 SD unit increase in BMI, WC, and WHtR respectively. After further adjustment for hypertension, diabetes, and dyslipidemia, these associations were attenuated but remained statistically significant.

conclusionsMeasures of general (BMI) and abdominal (WC and WHtR) obesity were similarly associated with CVD in middle-aged Japanese men.

Indexed as

Body Mass IndexWaist CircumferenceWaist-Height RatioAdultCardiovascular DiseasesCase-Control StudiesHumansJapanMaleMiddle AgedObesityRisk Factorsbody mass indexcardiovascular diseasewaist circumferencewaist-to-height ratio

Identifiers

PMID31750612
PMCPMC6970391

What OpenQuestion holds

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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.