Evidence map›Paper›PMID 26343709›Full record

ArticleNutrients2015

Lean Body Mass Associated with Upper Body Strength in Healthy Older Adults While Higher Body Fat Limits Lower Extremity Performance and Endurance.

Karen Charlton, Marijka Batterham, Kelly Langford, Jenna Lateo, Erin Brock, Karen Walton, Philippa Lyons-Wall, Katie Eisenhauer, Nick Green, Cameron McLean

Abstract read
In one paragraph

Article in Nutrients, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
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  15. Observational
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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

10 authors.

Karen CharltonSchool of Medicine and Statistical Consulting Centre, University of Wollongong, New South Wales 2522, Australia. karenc@uow.edu.au.
Marijka BatterhamStatistical Consulting Services, National Institute of Applied Statistics Research Australia, University of Wollongong, Wollongong, New South Wales 2522, Australia. marijka@uow.edu.au.
Kelly LangfordSchool of Medicine and Statistical Consulting Centre, University of Wollongong, New South Wales 2522, Australia. kl704@uowmail.edu.au.
Jenna LateoSchool of Medicine and Statistical Consulting Centre, University of Wollongong, New South Wales 2522, Australia. jennalateo@gmail.com.
Erin BrockSchool of Medicine and Statistical Consulting Centre, University of Wollongong, New South Wales 2522, Australia. eeb786@uowmail.edu.au.
Karen WaltonSchool of Medicine and Statistical Consulting Centre, University of Wollongong, New South Wales 2522, Australia. kwalton@uow.edu.au.
Philippa Lyons-WallSchool of Exercise and Health Sciences, Edith Cowan University, Joondalup WA 6027, Australia. p.lyons-wall@ecu.edu.au.
Katie EisenhauerSchool of Medicine and Statistical Consulting Centre, University of Wollongong, New South Wales 2522, Australia. katie_e@balancepodiatry.com.au.
Nick GreenSchool of Medicine and Statistical Consulting Centre, University of Wollongong, New South Wales 2522, Australia. Nick.Green@bupa.com.au.
Cameron McLeanSchool of Medicine and Statistical Consulting Centre, University of Wollongong, New South Wales 2522, Australia. camo.mclean@bigpond.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Impaired strength adversely influences an older person's ability to perform activities of daily living. A cross-sectional study of 117 independently living men and women (age = 73.4 ± 9.4 year; body mass index (BMI) = 27.6 ± 4.8 kg/m²) aimed to assess the association between body composition and: (1) upper body strength (handgrip strength, HGS); (2) lower extremity performance (timed up and go (TUG) and sit to stand test (STS)); and (3) endurance (6-minute walk (SMWT). Body composition (% fat; lean body mass (LBM)) was assessed using bioelectrical impedance. Habitual physical activity was measured using the Minnesota Leisure Time Physical Activity Questionnaire (MLTPA) and dietary macronutrient intake, assessed using 24 h recalls and 3-day food records. Regression analyses included the covariates, protein intake (g/kg), MLTPA, age and sex. For natural logarithm (Ln) of right HGS, LBM (p < 0.001) and % body fat (p < 0.005) were significant (r² = 46.5%; p < 0.000). For left LnHGS, LBM (p < 0.000), age (p = 0.036), protein intake (p = 0.015) and LnMLTPA (p = 0.015) were significant (r² = 0.535; p < 0.000). For SMW, % body fat, age and LnMLTPA were significant (r² = 0.346; p < 0.000). For STS, % body fat and age were significant (r² = 0.251; p < 0.000). LBM is a strong predictor of upper body strength while higher % body fat and lower physical activity are associated with poorer outcomes on tests of lower extremity performance.

Indexed as

AdiposityAgingBody Mass IndexMuscle StrengthPhysical EndurancePhysical FitnessActivities of Daily LivingAgedAged, 80 and overAge FactorsCross-Sectional StudiesDietElectric ImpedanceExercise TestFemaleGeriatric Assessmentbody compositionlean body massolder peoplephysical functionproteinupper body strength

Identifiers

PMID26343709
PMCPMC4586522

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.