Cited by 375Diabetes, Cardiovascular Risks, and LipoproteinsObesity, Physical Activity, DietCancer Risks and Factors

Body mass index and cardiovascular disease in the Asia-Pacific Region: an overview of 33 cohorts involving 310 000 participants

Asia Pacific Cohort Studies Collaboration·2004·International Journal of Epidemiology

Abstract

BACKGROUND: Few prospective data from the Asia-Pacific region are available relating body mass index (BMI) to the risks of stroke and ischaemic heart disease (IHD). Our objective was to assess the age-, sex-, and region-specific associations of BMI with cardiovascular disease using individual participant data from prospective studies in the Asia-Pacific region. METHODS: Studies were identified from literature searches, proceedings of meetings, and personal communication. All studies had at least 5000 person-years of follow-up. Hazard ratios were calculated from Cox models, stratified by sex and cohort, and adjusted for age at risk and smoking. The first 3 years of follow-up were excluded in order to reduce confounding due to disease at baseline. RESULTS: A total of 33 cohort studies, including 310 283 participants, contributed 2 148 354 person-years of follow-up, during which 3332 stroke and 2073 IHD events were observed. There were continuous positive associations between baseline BMI and the risks of ischaemic stroke, haemorrhagic stroke, and IHD, with each 2 kg/m(2) lower BMI associated a 12% (95% CI: 9, 15%) lower risk of ischaemic stroke, 8% (95% CI: 4, 12%) lower risk in haemorrhagic stroke, and 11% (95% CI: 9, 13%) lower risk of IHD. The strengths of all associations were strongly age dependent, and there was no significant difference between Asian and Australasian cohorts. CONCLUSIONS: This overview provides the most reliable estimates to date of the associations between BMI and cardiovascular disease in the Asia-Pacific region, and the first direct comparisons within the region. Continuous relationships of approximately equal strength are evident in both Asian and Australasian populations. These results indicate considerable potential for cardiovascular disease reduction with population-wide lowering of BMI.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/ije/dyh163

Cites

40 of 40 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

2 of the 42 references couldn’t be matched to a known paper.

Research works printed but not linked: 5

  1. [20]20. Jones DW, Kim JS, Andrew ME, Kim SJ, Hong YP. Body mass index and blood pressure in Korean mean and women: the Korean National Blood Pressure Survey. J Hypertens 1994;12:1433-37.
  2. [25]25. Cox DR. Regression models and life tables (with discussion). J R Statist Soc 1972;34:187.
  3. [31]31. Manson JE, Willett WC, Stampfer MJ et al. Body weight and longevity [letter]. JAMA 1987;257:1896.
  4. [38]38. Writing Group for the Women's Health Initiative Investigators. Risks and benefits of estrogen plus progestin in healthy postmenopausal women. Principal results from the Women's Health Initiative randomized controlled trial. JAMA 2002;288:321-33.
  5. [39]39. Whitlock G, Lewington S, Ni Mhurchu C. Coronary heart disease and body mass index: a systematic review of the evidence from large prospective cohort studies. Sem Vasc Med 2002;2:369-81.

Cited by

Sorted by citations

Authors
Asia Pacific Cohort Studies Collaboration
Affiliations
University of Auckland (NZ)
Corresponding author
Asia Pacific Cohort Studies Collaboration
Venue
International Journal of Epidemiology
Published
2004-07-28
Volume
33
Issue
4
Pages
751-758
ISSN
  • 0300-5771 (ISSN-L)
  • 1464-3685
OpenAlex
W1591686206
Cited by
375
References
42
Citations by year
2026: 7 · 2025: 16 · 2024: 8 · 2023: 11 · 2022: 16 · 2021: 25 · 2020: 20 · 2019: 18 · 2018: 18 · 2017: 22 · 2016: 24 · 2015: 17 · 2014: 16 · 2013: 27 · 2012: 26
FWCI
8.58
Type
journal article
Language
en
Open access
closed
Locations
  • International Journal of Epidemiology (publishedVersion)
  • PubMed (publishedVersion)
  • Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
  • The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
  • Institutional Repositories DataBase (IRDB) (submittedVersion)
Funders
  • National Institutes of Health
  • Health Research Council of New Zealand
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Health Sciences › Medicine › Oncology › Cancer Risks and Factors
Keywords
body mass index, cardiovascular disease, ischemic stroke, hemorrhagic stroke, ischemic heart disease, obesity, Asia-Pacific region, Asian populations, age-specific risk, sex differences, individual patient data meta-analysis
MeSH terms
Asia, Australia, Cardiovascular Diseases, Female, Humans, Male, Middle Aged, New Zealand, Prospective Studies, Risk, Body Mass Index, Proportional Hazards Models

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review