Evidence map›Paper›PMID 34244743›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2022

Getting a Grip on Secular Changes: Age-Period-Cohort Modeling of Grip Strength in the English Longitudinal Study of Ageing.

Patrick O'Keefe, Frank D Mann, Sean Clouston, Stacey Voll, Graciela Muniz-Terrera, Nathan Lewis, Linda Wanström, Scott M Hofer, Joseph L Rodgers

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In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Article
  5. CD21Frontiers in aging · 2026
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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

9 authors.

Patrick O'KeefeDepartment of Neurology, Oregon Health & Science University, Portland, USA.ORCID 0000-0002-5343-0130
Frank D MannProgram in Public Health, Department of Family, Population, and Preventive Medicine, Stony Brook University, New York, USA.
Sean CloustonProgram in Public Health, Department of Family, Population, and Preventive Medicine, Stony Brook University, New York, USA.ORCID 0000-0002-6124-0329
Stacey VollInstitute on Aging & Lifelong Health, University of Victoria, British Columbia, Canada.
Graciela Muniz-TerreraEdinburgh Dementia Prevention, University of Edinburgh, UK.
Nathan LewisInstitute on Aging & Lifelong Health, University of Victoria, British Columbia, Canada.ORCID 0000-0002-9426-292X
Linda WanströmLinköping University, Sweden.
Scott M HoferInstitute on Aging & Lifelong Health, University of Victoria, British Columbia, Canada.
Joseph L RodgersVanderbilt University, Nashville, Tennessee, USA.

Funding

Project-001R01AG017644 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI Andrew Steptoe · 2000 to 2026
$56.2M
Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
Evaluation of Multivariate Causal Factors Linking the Flynn Effect to Declining Dementia Trends and Cognitive AgingR01AG067621 · NIA · PACIFIC HEALTH RESEARCH/ EDUCATION INST · PI HOFER, SCOTT M. · 2019 to 2023
$3.6M
Mega Meta Data Set of the Health and Retirement Surveys Around the WorldRC2AG036619 · NIA · RAND CORPORATION · PI KAPTEYN, ARIE · 2009 to 2010
$2.0M
Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in IndiaR03AG043052 · NIA · RAND CORPORATION · PI LEE, JINKOOK · 2012 to 2012
$95k
NIA NIH HHS R01 AG017644NIA NIH HHS R01 AG030153NIA NIH HHS R01 AG067621NIA NIH HHS R03 AG043052NIA NIH HHS RC2 AG036619
6 · The paper itself

Abstract

backgroundGrip strength is a popular and valuable measure in studies of physical functional capabilities in old age. The influence of historical trends and differential period-specific exposures can complicate the interpretation of biomarkers of aging and health and requires careful analysis and interpretation of aging, birth cohort, and period effects. This study evaluates the effects of aging, period, and cohort on grip strength in a population of adults and older adults.

methodsWe use more than 27 000 observations for individuals at least 50 years of age, born in approximately 1910-1960, from the English Longitudinal Study of Ageing to examine a variety of multilevel and cross-classified modeling approaches to evaluate age, period, and cohort effects. Our results extended Hierarchical Age-Period-Cohort modeling and compared our results with a set of 9 submodels with explicit assumptions to determine the most reliable modeling approach.

resultsFindings suggest grip strength is primarily related to age, with minimal evidence of either period and/or cohort effects. Each year's increase in a person's age was associated with a 0.40-kg decrease in grip strength, though this decline differs by gender.

conclusionsWe conclude that as the population ages, grip strength declines at a systematic and predictable rate equal to -0.40 kg per year (approximately -0.50 kg for men and -0.30 kg for women) in residents of England aged 50 and older. Age effects were predominant and most consistent across methodologies. While there was some evidence for cohort effects, such effects were minimal and therefore indicative that grip strength is a consistent physiological biomarker of aging.

Indexed as

AgingHand StrengthAgedCohort EffectCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedAge–period–cohort modelingGrip strengthSecular change

Identifiers

PMID34244743
PMCPMC9255688

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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.