Evidence map›Paper›PMID 37502008›Full record

ArticleAdvances in geriatric medicine and research2023

Prevalence and Trends of Handgrip Strength Asymmetry in the United States.

Ryan McGrath, Justin J Lang, Brian C Clark, Peggy M Cawthon, Kennedy Black, Jacob Kieser, Brooklyn J Fraser, Grant R Tomkinson

Open access · diamondAbstract read
In one paragraph

Article in Advances in geriatric medicine and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

8 authors at 6 institutions in 3 countries.

Ryan McGrathHealthy Aging North Dakota (HAND), North Dakota State University, Fargo, ND 58102, USA.
Justin J LangAlliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, 5000, Australia.
Brian C ClarkOhio Musculoskeletal and Neurological Institute, Ohio University, Athens, OH 45701, USA.
Peggy M CawthonCalifornia Pacific Medical Center Research Institute, San Francisco, CA 94107, USA.
Kennedy BlackHealthy Aging North Dakota (HAND), North Dakota State University, Fargo, ND 58102, USA.
Jacob KieserHealthy Aging North Dakota (HAND), North Dakota State University, Fargo, ND 58102, USA.
Brooklyn J FraserMenzies Institute for Medical Research, University of Tasmania, Hobart, 7001, Australia.
Grant R TomkinsonAlliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, 5000, Australia.
University of Tasmania · AUNorth Dakota State University · USOhio University · USUniversity of California, San Francisco · USUniversity of Ottawa · CAUniversity of South Australia · AU

Funding

Neuronal mechanisms involved in aging and ADR01AG067758 · NIA · OHIO UNIVERSITY ATHENS · PI ARNOLD, WILLIAM DAVID, CLARK, BRIAN C · 2021 to 2025
$4.1M
GRip Assessment for Protocol Enhancements (GRAPE) in Older AdultsR15AG072348 · NIA · NORTH DAKOTA STATE UNIVERSITY · PI MCGRATH, RYAN · 2022 to 2025
$838k
NIA NIH HHS R01 AG067758NIA NIH HHS R15 AG072348
6 · The paper itself

Abstract

Background: Strength asymmetries are a type of muscle function impairment that is associated with several health conditions. However, the prevalence of these asymmetries among adults from the United States remains unknown. We sought to estimate the prevalence and trends of handgrip strength (HGS) asymmetry in American adults. Methods: The unweighted analytic sample included 23,056 persons aged at least 50-years with information on HGS for both hands from the 2006-2016 waves of the Health and Retirement Study. A handgrip dynamometer measured HGS, with the highest recorded values for each hand used to calculate asymmetry. Persons were categorized into the following asymmetry severity categories: (1) >10%, (2) >20.0%, and (3) >30.0%. Survey weights were used to generate nationally-representative asymmetry estimates. Results: Overall, there were no statistically significant trends in HGS asymmetry categories over time. The prevalence of HGS asymmetry in the 2014-2016 wave was 53.4% (CI: 52.2-54.4), 26.0% (CI: 25.0-26.9), and 11.7% (CI: 10.9-12.3) for asymmetry at >10%, >20%, and >30%, respectively. HGS asymmetry was generally higher in older Americans compared to middle-aged adults at each wave. In the 2014-2016 wave, >30% asymmetry prevalence was 13.7% (CI: 12.7-14.6) in females and 9.3% (CI: 8.4-10.2) in males. Some differences in asymmetry prevalence by race and ethnicity were observed. Conclusions: The prevalence of asymmetry was generally high, especially in women and older adults. Ongoing surveillance of strength asymmetry will help monitor trends in muscle dysfunction, guide screening for disablement, identify subpopulations at risk for asymmetry, and inform relevant interventions.

Indexed as

agingepidemiologyhand strengthmuscle strengthmuscle strength dynamometermuscle weaknesssarcopenia

Identifiers

PMID37502008
PMCPMC10373124
OpenAlexW4382993043

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.