Evidence map›Paper›PMID 28416155›Full record

ArticleJournal of science and medicine in sport2017

Tracking of muscular strength and power from youth to young adulthood: Longitudinal findings from the Childhood Determinants of Adult Health Study.

Brooklyn J Fraser, Michael D Schmidt, Quan L Huynh, Terence Dwyer, Alison J Venn, Costan G Magnussen

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In one paragraph

Article in Journal of science and medicine in sport, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.

  1. Pooled it
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  5. Review
  6. The Health and Physical Education Curriculum: Does It Address Muscular Fitness?Journal of functional morphology and kinesiology · 2026
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  7. Review
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  12. Tracking handgrip strength asymmetry from childhood to mid-life.Acta paediatrica (Oslo, Norway : 1992) · 2023
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  13. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 4 countries.

Brooklyn J FraserMenzies Institute for Medical Research, University of Tasmania, Australia.
Michael D SchmidtDepartment of Kinesiology, University of Georgia, USA.
Quan L HuynhMenzies Institute for Medical Research, University of Tasmania, Australia.
Terence DwyerMenzies Institute for Medical Research, University of Tasmania, Australia; George Institute for Global Health, Oxford Martin School and Nuffield Department of Obstetrics & Gynaecology, Oxford University, UK.
Alison J VennMenzies Institute for Medical Research, University of Tasmania, Australia.
Costan G MagnussenMenzies Institute for Medical Research, University of Tasmania, Australia; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Finland. Electronic address: cmagnuss@utas.edu.au.
University of Tasmania · AUUniversity of Georgia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLow muscular fitness levels have previously been reported as an independent risk factor for chronic disease outcomes. Muscular fitness tracking, the ability to maintain levels measured at one point in time to another point in time, was assessed from youth to adulthood to provide insight into whether early identification of low muscular fitness in youth is possible.

designProspective longitudinal study.

methodsStudy including 623 participants who had muscular fitness measures in 1985 (aged 9, 12 or 15 years) and again 20 years later in young adulthood. Measures of muscular fitness were strength (right and left grip, leg, shoulder extension and flexion measured by dynamometer, and a combined strength score) and power (standing long jump distance).

resultsStrength and power were relatively stable between youth and adulthood; the strongest tracking correlations were observed for the combined strength score (r=0.47, p≤0.001), right grip strength (r=0.43, p≤0.001) and standing long jump (r=0.43, p≤0.001). Youth in the lowest third of muscular fitness had an increased risk of remaining in the lowest third of muscular fitness in adulthood (strength: relative risk (RR)=4.70, 95% confidence interval (CI) (3.19, 6.92); power: RR=4.06 (2.79, 5.90)).

conclusionsYouth with low muscular fitness are at increased risk of maintaining a low muscular fitness level into adulthood. These findings warrant investigation into the long term effects of early interventions that focus on improving low muscular fitness levels in youth which could potentially improve adult muscular fitness and reduce future chronic disease outcomes.

Indexed as

AdolescentAdultAge FactorsAustraliaChildFemaleHealth SurveysHumansLongitudinal StudiesMaleMuscle StrengthPhysical FitnessProspective StudiesRisk FactorsYoung AdultExerciseHand strengthPaediatricsPhysical fitness

Identifiers

PMID28416155
OpenAlexW2602068715

What OpenQuestion holds

Textmetadata
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.