Cited by 302Diabetes, Cardiovascular Risks, and LipoproteinsCardiovascular Health and Risk FactorsDiabetes Management and Research

Blood glucose and risk of cardiovascular disease in the Asia Pacific region.

Open access
Asia Pacific Cohort Studies Collaboration·2004·Diabetes Care

Abstract

OBJECTIVE—To assess the shape and strength of the association between usual blood glucose and cardiovascular disease (CVD) in Asian and Australasian cohorts and to determine the impact of adjusting for other determinants of CVD risk and excluding people with diabetes. RESEARCH DESIGN AND METHODS—Relative risk estimates and 95% CIs were calculated from Cox models, stratified by sex and cohort, and adjusted for age at risk on individual participant data from 17 cohort studies. Repeat measurements of blood glucose were used to adjust for regression dilution bias. RESULTS—Fasting blood glucose data were available for 237,468 participants, and during ∼1.2 million person-years of follow-up, there were 1,661 stroke and 816 ischemic heart disease (IHD) events. Data were also available on 27,996 participants with nonfasting glucose measurements. Continuous positive associations were demonstrated between usual fasting glucose and the risks of CVD down to at least 4.9 mmol/l. Overall, each 1 mmol/l lower usual fasting glucose was associated with a 21% (95% CI 18–24%) lower risk of total stroke and a 23% (19–27%) lower risk of total IHD. The associations were similar in men and women, across age-groups, and in Asian compared with Australasian (Australia and New Zealand) populations. Adjusting for potential confounders or removing those with diabetes as baseline did not substantially affect the associations. Associations for nonfasting glucose were weaker than those with fasting glucose. CONCLUSIONS—Fasting blood glucose is an important determinant of CVD burden, with considerable potential benefit of usual blood glucose lowering down to levels of at least 4.9 mmol/l.

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 · 10.2337/diacare.27.12.2836

Cites

48 of 48 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?

  • Relative risks for blood pressure, LDL cholesterol, and fasting plasma glucose were adjusted for regression dilution bias using studies with repeated exposure measurement; for blood pressure and LDL cholesterol, the adjusted magnitude is supported by effect sizes from randomized studies.

    “We used RRs for blood pressure, LDL cholesterol, and FPG that were adjusted for regression dilution bias using studies that had repeated exposure measurement [7],[11], [12]; for blood pressure and LDL cholesterol, the adjusted magnitude is supported by effect sizes from randomized studies [13],[14].”
  • Current evidence suggests that when measured comparably the proportional effects of the risk factors considered in this analysis are similar across populations, such as Western and Asian populations.

    “The current evidence suggests that when measured comparably the proportional effects of the risk factors considered in this analysis are similar across populations, e.g., Western and Asian populations [7],[20],[21].”

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

Research works printed but not linked: 1

  1. [17]17. Rose G: The Strategy of Preventive Medicine. Oxford, U.K., Oxford University Press, 1992

Cited by

Sorted by citations

Authors
Asia Pacific Cohort Studies Collaboration
Affiliations
University of Auckland (NZ)
Corresponding author
Asia Pacific Cohort Studies Collaboration
Venue
Diabetes Care
Published
2004-12-01
Volume
27
Issue
12
Pages
2836-2842
ISSN
  • 0149-5992 (ISSN-L)
  • 1935-5548
OpenAlex
W1491165075
Cited by
302
References
48
Citations by year
2026: 1 · 2025: 6 · 2024: 9 · 2023: 8 · 2022: 13 · 2021: 21 · 2020: 16 · 2019: 9 · 2018: 10 · 2017: 13 · 2016: 16 · 2015: 18 · 2014: 21 · 2013: 17 · 2012: 20
FWCI
7.44
Type
journal article
Language
en
Open access
Locations
  • Diabetes Care (publishedVersion)
  • PubMed (publishedVersion)
  • The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
Funders
  • Pfizer
  • National Health and Medical Research Council
  • National Medical Research Council
  • Health Research Council of New Zealand
  • National Institute on Aging (P01 AG17625, P01AG017625)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
Keywords
fasting blood glucose, cardiovascular risk, stroke, ischemic heart disease, regression dilution bias, Asian populations, cohort studies
MeSH terms
Aged, Asia, Blood Glucose, Cardiovascular Diseases, Fasting, Female, Humans, Male, Middle Aged, Pacific Ocean, Cohort Studies, Myocardial Ischemia, Risk Assessment, Stroke

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