Evidence map›Paper›PMID 26585050›Full record

ArticleAmerican journal of preventive medicine2016

Low Muscle Strength Thresholds for the Detection of Cardiometabolic Risk in Adolescents.

Mark D Peterson, Peng Zhang, William A Saltarelli, Paul S Visich, Paul M Gordon

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Article in American journal of preventive medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 7 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

41 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Mark D PetersonDepartment of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, Michigan.
Peng ZhangDepartment of Surgery, University of Michigan, Ann Arbor, Michigan.
William A SaltarelliHuman Performance Laboratory, Central Michigan University, Mt. Pleasant, Michigan.
Paul S VisichExercise and Sport Performance Department, University of New England, Portland, Maine.
Paul M GordonDepartment of Health, Human Performance and Recreation, Baylor University, Waco, Texas. Electronic address: paul_m_gordon@baylor.edu.

Funding

Secondary Muscle Pathology & Metabolic Dysregulation in Adult with Cerebral PalsyK01HD074706 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PETERSON, MARK D · 2013 to 2017
$605k
NICHD NIH HHS 1KO1 HD074706
6 · The paper itself

Abstract

introductionThere is an association between strength and health among adolescents, yet, what remains to be determined is sex-specific cut points for low strength in the detection of risk in this population. The purpose of this study was to determine thresholds of low grip strength in a large cohort (N=1,326) of adolescents.

methodsAll data were collected between 2005 and 2008, and analyzed in 2014-2015. A cardiometabolic risk score (MetScore) was computed from the following components: percent body fat, fasting glucose, blood pressure, plasma triglyceride levels, and high-density lipoprotein cholesterol. A high-risk cardiometabolic phenotype was characterized as ≥75th percentile of the MetScore. Conditional inference tree analyses were used to identify sex-specific, low normalized strength (grip strength/body mass) thresholds and risk categories.

resultsLower strength was independently associated with increased odds of the high-risk cardiometabolic phenotype, such that for every 5% decrement of normalized strength, there were 1.48 and 1.45 increased odds (p<0.001) for boys and girls, even after adjusting for cardiorespiratory fitness and physical activity. Conditional tree analysis revealed a high-risk threshold for boys (≤0.33) and girls (≤0.28), as well as an intermediate threshold (boys, >0.33 and ≤0.45; girls, >0.28 and ≤0.36).

conclusionsThese sex-specific thresholds of low strength can be incorporated into a clinical setting for identifying adolescents that would benefit from lifestyle interventions to improve muscular fitness and reduce cardiometabolic risk.

Indexed as

Cardiovascular DiseasesChildCross-Sectional StudiesFemaleHand StrengthHumansLife StyleMaleMetabolic DiseasesPhenotypePhysical FitnessRisk FactorsSex Factors

Identifiers

PMID26585050

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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.