Cited by 661Nutrition and Health in AgingFrailty in Older AdultsAging, Health, and Disability

Handgrip strength and cause-specific and total mortality in older disabled women: exploring the mechanism

Rantanen, Taina, Volpato, Stefano, Luigi Ferrucci, MD, Eino Heikkinen, MD, Fried, Linda P., Guralnik, Jack M.·2003·Journal of the American Geriatrics Society

Abstract

OBJECTIVES: To examine the association between muscle strength and total and cause-specific mortality and the plausible contributing factors to this association, such as presence of diseases commonly underlying mortality, inflammation, nutritional deficiency, physical inactivity, smoking, and depression. DESIGN: Prospective population-based cohort study with mortality surveillance over 5 years. SETTING: Elderly women residing in the eastern half of Baltimore, Maryland, and part of Baltimore County. PARTICIPANTS: Nine hundred nineteen moderately to severely disabled women aged 65 to 101 who participated in handgrip strength testing at baseline as part of the Women's Health and Aging Study. MEASUREMENTS: Cardiovascular disease (CVD), cancer, respiratory disease, other measures (not CVD, respiratory, or cancer), total mortality, handgrip strength, and interleukin-6. RESULTS: Over the 5-year follow-up, 336 deaths occurred: 149 due to CVD, 59 due to cancer, 38 due to respiratory disease, and 90 due to other diseases. The unadjusted relative risk (RR) of CVD mortality was 3.21 (95% confidence interval (CI) = 2.00-5.14) in the lowest and 1.88 (95% CI = 1.11-3.21) in the middle compared with the highest tertile of handgrip strength. The unadjusted RR of respiratory mortality was 2.38 (95% CI = 1.09-5.20) and other mortality 2.59 (95% CI = 1.59-4.20) in the lowest versus the highest grip-strength tertile. Cancer mortality was not associated with grip strength. After adjusting for age, race, body height, and weight, the RR of CVD mortality decreased to 2.17 (95% CI = 1.26-3.73) in the lowest and 1.56 (95% CI = 0.89-2.71) in the middle, with the highest grip-strength tertile as the reference. Further adjustments for multiple diseases, physical inactivity, smoking, interleukin-6, C-reactive protein, serum albumin, unintentional weight loss, and depressive symptoms did not materially change the risk estimates. Similar results were observed for all-cause mortality. CONCLUSION: In older disabled women, handgrip strength was a powerful predictor of cause-specific and total mortality. Presence of chronic diseases commonly underlying death or the mechanisms behind decline in muscle strength in chronic disease, such as inflammation, poor nutritional status, disuse, and depression, all of which are independent predictors of mortality, did not explain the association. Handgrip strength, an indicator of overall muscle strength, may predict mortality through mechanisms other than those leading from disease to muscle impairment. Grip strength tests may help identify patients at increased risk of deterioration of health.

Integrity signals

Registry

Crossref · 10.1034/j.1600-0579.2003.00207.x

Cites

27 of 27 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • Over 15% of older adults reported abnormal sleep patterns and also reported limitations in ambulatory function.

    “Abnormal sleep patterns were reported by over 15% of older adults who also reported limitations in ambulatory function. (Rantanen, Volpato, Ferrucci, Heikkinen, Fried, and”

    From Successful aging: Advancing the science of physical independence in older adults (2015) · cites this paper as Rantanen et al. 2003

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Rantanen, T., Volpato, S., Luigi Ferrucci, M., Eino Heikkinen, M., Fried, L. P., & Guralnik, J. M.
Affiliations
  • National Institutes of Health (US)
  • Johns Hopkins University (US)
Corresponding author
Rantanen, Taina
Venue
Journal of the American Geriatrics Society
Publisher
Wiley
Published
2003-04-29
Volume
51
Issue
5
Pages
636-641
ISSN
  • 0002-8614 (ISSN-L)
  • 1532-5415
OpenAlex
W2037986780
Cited by
661
References
27
Citations by year
2026: 17 · 2025: 24 · 2024: 17 · 2023: 18 · 2022: 32 · 2021: 32 · 2020: 31 · 2019: 42 · 2018: 39 · 2017: 36 · 2016: 30 · 2015: 42 · 2014: 38 · 2013: 37 · 2012: 31
FWCI
7.47
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of the American Geriatrics Society (publishedVersion)
  • PubMed (publishedVersion)
  • Institutional Research Information System University of Ferrara (University of Ferrara) (submittedVersion)
Topics
  • Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
  • Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
Keywords
grip strength, muscle strength, mortality, cardiovascular mortality, respiratory mortality, women's health, interleukin-6, inflammation, physical inactivity, smoking, nutritional deficiency, unintentional weight loss, depressive symptoms, C-reactive protein, serum albumin, mortality risk factors, Women's Health and Aging Study, Baltimore County, Maryland, Baltimore
MeSH terms
Aged, Aged, 80 and over, Cardiovascular Diseases, Female, Persons with Disabilities, Health Status Indicators, Humans, Lung Diseases, Mortality, Neoplasms, Predictive Value of Tests, Prospective Studies, Risk Factors, Baltimore, Geriatric Assessment, Interleukin-6, Comorbidity, Chi-Square Distribution, Proportional Hazards Models, Risk Assessment, Hand 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