Evidence map›Paper›PMID 32444153›Full record

ArticleJournal of sport and health science2020

Muscle strength cut-offs for the detection of metabolic syndrome in a nonrepresentative sample of collegiate students from Colombia.

Antonio Garcia-Hermoso, Alejandra Tordecilla-Sanders, Jorge Enrique Correa-Bautista, Mark D Peterson, Mikel Izquierdo, Aura Cristina Quino-Ávila, Carolina Sandoval-Cuellar, Katherine González-Ruíz, Robinson Ramírez-Vélez

Abstract read
In one paragraph

Article in Journal of sport and health science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

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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.

Antonio Garcia-HermosoPhysical Activity, Sport and Health Sciences Laboratory, University of Santiago de Chile, Santiago de Chile 7500618, Chile. Electronic address: antonio.garcia.h@usach.cl.
Alejandra Tordecilla-SandersCenter of Studies in Physical Activity Measurements, School of Medicine and Health Sciences, Universidad del Rosario, Bogotá 111221, Colombia.
Jorge Enrique Correa-BautistaCenter of Studies in Physical Activity Measurements, School of Medicine and Health Sciences, Universidad del Rosario, Bogotá 111221, Colombia.
Mark D PetersonDepartment of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, Michigan 48109, USA.
Mikel IzquierdoDepartment of Health Sciences, Public University of Navarre, CIBERFES (CB16/10/00315), Navarre 31009, Spain.
Aura Cristina Quino-ÁvilaCORPS Group, Faculty of Health Sciences, University of Boyacá, Boyacá, Tunja 153610, Colombia.
Carolina Sandoval-CuellarCORPS Group, Faculty of Health Sciences, University of Boyacá, Boyacá, Tunja 153610, Colombia.
Katherine González-RuízPhysical Exercise and Sports Research Group, Manuela Beltrán University, Bogotá 111221, Colombia.
Robinson Ramírez-VélezCenter of Studies in Physical Activity Measurements, School of Medicine and Health Sciences, Universidad del Rosario, Bogotá 111221, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence shows an association between grip strength and health; however, grip strength cut-offs for the detection of metabolic syndrome (MetS) in Latin American populations are scarce. The purpose of this study was to determine cut-offs of normalized grip strength (NGS) for the detection of MetS in a large nonrepresentative sample of a collegiate student population from Colombia.

methodsA total of 1795 volunteers (61.4% female; age = 20.68 ± 3.10 years, mean ± SD), ranging between 18 and 30 years of age participated in the study. Strength was estimated using a handheld dynamometer and normalized to body mass (handgrip strength (kg)/body mass (kg)). Anthropometrics, serum lipids indices, blood pressure, and fasting plasma glucose were measured. Body composition was measured by bioelectrical impedance analysis. MetS was defined as including ≥3 of the 5 metabolic abnormalities according to the International Diabetes Federation definition. A metabolic risk score was computed from the following components: waist circumference, triglycerides, high-density lipoprotein cholesterol, glucose, and systolic and diastolic blood pressure.

resultsReceiver operating curve analysis showed significant discriminatory accuracy of NGS in identifying the thresholds and risk categories. Lower strength was associated with increased prevalence of MetS. In males, weak, intermediate, and strong NGS values at these points were <0.466, 0.466-0.615, >0.615, respectively. In females, these cut-off points were <0.332, 0.332-0.437, >0.437, respectively.

conclusionOur sex-specific cut-offs of NGS could be incorporated into a clinical setting for identifying college students at cardiometabolic disease risk.

Indexed as

Hand StrengthAdolescentAdultAnthropometryBiomarkersBlood GlucoseBlood PressureBody CompositionColombiaCross-Sectional StudiesFemaleHumansLipidsMaleMetabolic SyndromeMuscle WeaknessBiomarkersBlood GlucoseLipidsCardiometabolic riskMuscular fitnessReceiver operating characteristic curveThresholds

Identifiers

PMID32444153
PMCPMC7242216

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LicenceCC BY-NC-ND
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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.