Evidence map›Paper›PMID 29582889›Full record

ArticleThe journal of nutrition, health & aging2018

Muscle Weakness and Physical Disability in Older Americans: Longitudinal Findings from the U.S. Health and Retirement Study.

K A Duchowny, P J Clarke, M D Peterson

Abstract read
In one paragraph

Article in The journal of nutrition, health & aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  8. 5-HTGeroScience · 2025
    Article
  9. Article
  10. The Neighborhood Environment and Handgrip Strength: Longitudinal Findings From the Health and Retirement Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  11. Article
  12. Article
  13. Review
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  15. Article
  16. The Epidemiology and Societal Impact of Aging-Related Functional Limitations: A Looming Public Health Crisis.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
  17. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

K A DuchownyKate Duchowny, MPH, University of Michigan School of Public Health, Department of Epidemiology, Center for Social Epidemiology and Population health, 1415 Washington Heights, 3rd Flower Tower, Ann Arbor, Michigan 48109, Phone: (734) 615-9209, Email: duchowny@umich.edu.
P J Clarke
M D Peterson
University of Michigan–Ann Arbor · US

Funding

Statistical Data EnclaveP30AG012846 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Esther M. Friedman · 1999 to 2026
$23.2M
Interdisciplinary Research Training on Health and AgingT32AG027708 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lindsay C Kobayashi, Briana Mezuk · 2008 to 2026
$2.7M
NIA NIH HHS P30 AG012846NIA NIH HHS T32 AG027708
6 · The paper itself

Abstract

importanceMuscle weakness is an important indicator of disability, chronic disease and mortality. While we recently proposed sex/race specific grip strength cutpoints for clinical muscle weakness in a diverse, nationally representative sample of older Americans, the extent to which these cutpoints predict physical disability remains unknown.

objectiveTo examine whether sex/race specific muscle weakness cutpoints predict physical disability status in a nationally representative sample of Americans age 65+.

designWe used data from the 2006-2010 Health and Retirement Study. Fully-adjusted, weighted multinomial logistic regression models were used to quantify the odds of experiencing the onset, progression or persistence of disability in activities of daily living (ADL) among weak versus non-weak individuals over a 2-year period.

settingGeneral community, nationally representative sample of older Americans.

participantsPopulation-based, community dwelling sample of older American adults aged 65-years+; 57 percent were women, 91% were White and the mean age was 75 years. Main Outcome(s) and Measure(s): The primary outcome of interest was disability dynamics, defined by changes in ADL status across at 2- year period. The primary exposure was clinical muscle weakness as defined by previously identified cutpoints. Hypotheses were formulated before analyses were conducted.

resultsIn this nationally representative sample (n= 8,725), 44% of individuals were classified as weak at baseline. At follow-up, 55% remained independent with no change in their ADL status, 11% had an onset of disability and 4% progressed in their disability status. The odds of experiencing an onset of ADL disability was 54% higher among weak individuals compared those who were not weak at baseline (OR= 1.54, 95% CI= 1.54, 1.5, p<.0001); the odds of experiencing a progression in physical disability status was 2.16 times higher among those who were weak at baseline compared to non-weak individuals (OR= 2.16, 95% CI= 2.15, 2.16, p<.0001).

conclusionsThis is the first study to use grip strength weakness cut-points to identify those who may be at greatest risk for experiencing physical disability in later life. Results underscore the importance of using population-specific cutpoints for clinical weakness in order to identify individuals at greatest risk for adverse health outcomes.

Indexed as

AgedFemaleHumansLongitudinal StudiesMaleMuscle WeaknessPersons with DisabilitiesRetirementSurveys and QuestionnairesUnited StatesADLsdisabilityDynapeniamuscle weakness

Identifiers

PMID29582889
PMCPMC6472265
OpenAlexW2738028685

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.