Evidence map›Paper›PMID 35896353›Full record

ArticleJournal of atherosclerosis and thrombosis2023

Trends for the Association between Body Mass Index and Risk of Cardiovascular Disease among the Japanese Population: The Circulatory Risk in Communities Study (CIRCS).

Takumi Matsumura, Tomoko Sankai, Kazumasa Yamagishi, Mari Tanaka, Yasuhiko Kubota, Mina Hayama-Terada, Yuji Shimizu, Isao Muraki, Mitsumasa Umesawa, Renzhe Cui and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 8 institutions in 3 countries.

Takumi MatsumuraPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine.
Tomoko SankaiDepartment of Public Health and Nursing, Faculty of Medicine, University of Tsukuba.
Kazumasa YamagishiDepartment of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba.
Mari TanakaPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine.
Yasuhiko KubotaOsaka Center for Cancer and Cardiovascular Disease Prevention.
Mina Hayama-TeradaOsaka Center for Cancer and Cardiovascular Disease Prevention.
Yuji ShimizuOsaka Center for Cancer and Cardiovascular Disease Prevention.
Isao MurakiPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine.
Mitsumasa UmesawaDepartment of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba.
Renzhe CuiDepartment of Internal Medicine, Okanami General Hospital.
Hironori ImanoPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine.
Tetsuya OhiraDepartment of Epidemiology, Fukushima Medical University School of Medicine.
Akihiko KitamuraYao City Public Health Center.
Takeo OkadaOsaka Center for Cancer and Cardiovascular Disease Prevention.
Masahiko KiyamaOsaka Center for Cancer and Cardiovascular Disease Prevention.
Hiroyasu IsoPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine.
Osaka Medical Center for Cancer and Cardiovascular Diseases · JPPublic Health Department · INDokkyo Medical University · JPFukushima Medical University · JPHealth Services Research & Development · USKindai University · JPTokyo Medical University Ibaraki Medical Center · JPUniversity of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aimed to investigate whether the impact of body mass index (BMI) on the risk of cardiovascular disease (CVD) has changed among the 1960s, 1970s, 1980s, 1990s, and early 2000s in Japan.

methodsThe study population consisted of residents in Japan aged 40-69 years who had no history of CVD. The baseline surveys have been conducted every year since 1963. We defined the first, second, third, fourth, and fifth cohorts as 1963-1969 (n=4,248), 1970-1979 (n=6,742), 1980-1989 (n=12,789), 1990-1999 (n=12,537), and 2000-2005 (n=9,140) respectively. The participants were followed up for a median of 15 years for each cohort to determine the incidence of CVD. We classified them into four categories (BMI <21.0, 21.0-<23.0, 23.0-<25.0, and ≥ 25.0 kg/m

resultsFrom 1963-1969 to 2000-2005, the prevalence of BMI ≥ 25.0 increased over time. Compared with BMI 23.0-<25.0, the age-, sex- and community-adjusted hazard ratios (95% confidence interval [CIs]) of CVD for BMI ≥ 25.0 were 1.10 (0.77-1.57), 0.89 (0.68-1.18), 1.03 (0.85-1.26), 1.28 (1.04-1.58), and 1.36 (1.04-1.78) in the first, second, third, fourth, and fifth cohorts, respectively. The corresponding population attributable fractions were 2.0% (nonsignificant), -2.6% (nonsignificant), 0.9% (nonsignificant), 7.6%, and 10.9%. Further adjustment for systolic blood pressure and antihypertensive medication use in the fourth and fifth cohorts attenuated the associations, which may reflect that blood pressure may mediate the BMI-CVD association.

conclusionThe proportion of CVD attributable to overweight/obesity has increased during the periods between 1963-1969 and 2000-2005. The significant associations between overweight/obesity and risk of CVD after the 1990s were mediated by blood pressure levels.

Indexed as

Cardiovascular DiseasesBody Mass IndexEast Asian PeopleHumansObesityOverweightRisk FactorsBody mass indexCardiovascular diseaseCohort studyPopulation attributable fraction

Identifiers

PMID35896353
PMCPMC10067340
OpenAlexW4288072043

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

None linked

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.