Cited by 99Physical Activity and HealthCardiovascular and exercise physiologyCardiovascular Health and Risk Factors

Vigorous physical activity, mediating biomarkers, and risk of myocardial infarction

Open access
CHOMISTEK, ANDREA K., CHIUVE, STEPHANIE E., JENSEN, MAJKEN K., COOK, NANCY R., RIMM, ERIC B.·2011·Medicine & Science in Sports & Exercise

Abstract

PURPOSE: The effects of physical activity on risk of myocardial infarction (MI) are well documented and may include beneficial changes in blood lipids, inflammatory markers, and insulin sensitivity. The degree to which these and other traditional and nontraditional cardiovascular biomarkers mediate the inverse association between physical activity and risk of MI in men remains unclear. METHODS: We conducted a nested case-control study among 18,225 men in the Health Professionals Follow-up Study followed from 1994 to 2004. A total of 412 men with incident MI were matched 1:2 with control participants on age and smoking status using risk-set sampling. From detailed responses to a modified Paffenbarger physical activity questionnaire, we determined the association between average hours of vigorous-intensity activity (activities requiring METs ≥ 6) and MI risk. RESULTS: For a 3-h·wk(-1) increase in vigorous-intensity activity, the multivariate relative risk (RR) of MI was 0.78 (95% confidence interval (CI) = 0.61-0.98). In models including preexisting CVD-related conditions, further adjustment for HDL-C, vitamin D, apolipoprotein B, and hemoglobin A1c attenuated the RR by 70% (95% CI = 12%-127%) to an RR of 0.93 (95% CI = 0.72-1.19). CONCLUSIONS: Participating in 3 h·wk(-1) of vigorous-intensity activity is associated with a 22% lower risk of MI among men. This inverse association can be partially explained by the beneficial effects of physical activity on HDL-C, vitamin D, apolipoprotein B, and hemoglobin A1c. Although the inverse association attributable to these biomarkers is substantial, future research should explore benefits of exercise beyond these biomarkers of risk.

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 · 10.1249/mss.0b013e31821b4d0a

Cites

29 of 29 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?

  • The Paffenbarger questionnaire is predictive of health conditions related to physical activity, including myocardial infarction, and total cholesterol and fasting blood glucose.

    “The Paffenbarger questionnaire is predictive of health conditions that are related to physical activity, including myocardial infarction (36), and total cholesterol and fasting blood glucose (35).”

    From Social jetlag, chronotype, and cardiometabolic risk (2015) · cites this paper as [36]

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

Cited by

Sorted by citations

Authors
CHOMISTEK, A. K., CHIUVE, S. E., JENSEN, M. K., COOK, N. R., & RIMM, E. B.
Affiliations
  • Harvard University (US)
  • Brigham and Women's Hospital (US)
Venue
Medicine & Science in Sports & Exercise
Published
2011-10
Volume
43
Issue
10
Pages
1884-1890
ISSN
0195-9131 (ISSN-L)
OpenAlex
W2041084882
Cited by
99
References
29
Citations by year
2026: 2 · 2025: 2 · 2024: 3 · 2023: 20 · 2022: 4 · 2021: 3 · 2020: 7 · 2019: 3 · 2018: 6 · 2017: 8 · 2016: 6 · 2015: 6 · 2014: 10 · 2013: 9 · 2012: 7
FWCI
5.89
Type
journal article
Language
en
Open access
Locations
  • Medicine & Science in Sports & Exercise (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
Funders
  • National Institute on Alcohol Abuse and Alcoholism (AA-11181, R01AA011181)
  • National Heart, Lung, and Blood Institute (HL07575, R01HL035464, HL35464, T32HL007575)
  • National Institute of Diabetes and Digestive and Kidney Diseases (T32DK007703)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
Keywords
high-intensity exercise, myocardial infarction, cardiovascular risk, HDL cholesterol, vitamin D, apolipoprotein B, HbA1c, serum lipids, inflammatory markers, insulin sensitivity, mediation analysis, men, Health Professionals Follow-up Study
MeSH terms
Adult, Aged, Apolipoproteins B, Glycated Hemoglobin, Humans, Cholesterol, HDL, Male, Middle Aged, Models, Biological, Motor Activity, Myocardial Infarction, Risk, Vitamin D, Biomarkers, Case-Control Studies

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