Cited by 120Physical Activity and HealthCardiovascular and exercise physiologyCardiovascular Health and Risk Factors

The DOI matches its Crossref record; 42 of the 43 references it cites were found in a registry or an index.

Muscle strength in adolescent men and risk of cardiovascular disease events and mortality in middle age: a prospective cohort study

Open access

Abstract

BACKGROUND: Ischemic heart disease and stroke are two severe types of cardiovascular disease (CVD), a major contributor to the global burden of disease. The preventive framework currently includes promotion of both adequate cardiorespiratory and muscular fitness. Although muscle fitness is established as an indicator of health, it is currently unknown whether muscle strength is associated with later CVD independently of cardiorespiratory fitness. METHODS: We studied 38,588 Swedish men who in 1969 to 1970 (typically aged 18 years) completed compulsory conscription. Using the mean standardized score of three isometric muscle strength tests performed at conscription (hand grip, elbow flexion and knee extension), we categorized the subjects into three groups with the 25th to 75th percentile defining the reference category. We followed the cohort until 2012 for diagnosed CVD events and mortality via national health care registers and the national cause of death register. To estimate hazard ratios (HR) for CVD events (coronary heart disease or stroke) and CVD mortality we used Cox proportional hazard models adjusted for body mass index, smoking, alcohol consumption, cardiorespiratory fitness and socioeconomic status. RESULTS: Men with high muscle strength in adolescence had a decreased risk of later CVD events (HR 0.88, 95% confidence interval 0.77 to 0.99), whereas we observed no increased risk in men with low muscle strength (0.99, 0.86 to 1.13). However, low muscle strength was associated with increased risk of CVD mortality during middle age (1.31, 1.02 to 1.67). CONCLUSIONS: Muscle strength in adolescent men is inversely associated with later CVD events and CVD mortality in middle age, independently of cardiorespiratory fitness and other important confounders. Thus, the role of muscle fitness in the prevention and pathogenesis of CVD warrants increased attention.

Overview

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 · 10.1186/1741-7015-12-62

Cites

42 of 43 references verified1 citation errors · 0 not checkable

Statistics

Figures

Figure 1 The identification of the study sample and the loss during follow-up.
Figure 1 The identification of the study sample and the loss during follow-up.CC BY · PubMed Central

Verification

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.

Citations

Cites

Show all 42 references

Research works printed but not linked: 3

  1. World Health Organization: Global recommendations on physical activity for health. 2010, Geneva, Switzerland: World Health Organization
  2. Nordesjo LO, Schéle R: Validity of ergometer cycle test and measures of isometric muscle strength when predicting some aspects of military performance. Swedish J Defence Med. 1974, 10: 11-23.
  3. Nordesjo LO: A comparison between the Thornvall maximal ergometer test, submaximal ergometer tests and maximal oxygen uptake. Swedish J Defence Med. 1974, 10: 3-10.

Cited by

Sorted by citations

Metadata

Authors
Timpka, S., Petersson, I. F., Zhou, C., & Englund, M.
Affiliations
  • Lund University (SE)
  • Boston University (US)
Corresponding author
Timpka, Simon
Venue
BMC Medicine
Published
2014-04-14
Volume
12
Issue
1
Pages
62-62
ISSN
1741-7015 (ISSN-L)
OpenAlex
W2090650334
Cited by
120
References
42
Citations by year
2026: 3 · 2025: 8 · 2024: 6 · 2023: 12 · 2022: 14 · 2021: 18 · 2020: 6 · 2019: 11 · 2018: 16 · 2017: 10 · 2016: 7 · 2015: 6 · 2014: 2
FWCI
5.54
Type
journal article
Language
en
Open access
Locations
  • BMC Medicine (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Lund University Publications (Lund University) (submittedVersion, other-oa)
Funders
  • Lunds Universitet
  • Vetenskapsrådet
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
  • Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
Keywords
muscle strength, muscular fitness, cardiovascular disease, cardiovascular mortality, coronary artery disease, stroke, adolescence, middle age (human life stage), cardiorespiratory fitness, grip strength, knee extension, elbow flexion, cardiovascular disease prevention
MeSH terms
Adolescent, Age Factors, Alcohol Drinking, Cardiovascular Diseases, Cardiovascular Physiological Phenomena, Coronary Disease, Health Status, Humans, Male, Middle Aged, Physical Fitness, Prospective Studies, Respiratory Physiological Phenomena, Risk, Smoking, Social Class, Socioeconomic Factors, Cohort Studies, Body Mass Index, Proportional Hazards Models, Hand Strength, Stroke, Muscle Strength

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