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

引用

Journal of Sport and Health Science 2020年第3期9卷 283-290页

作者： 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 Ramíez-Vélez Physical Activity Sport and Health Sciences LaboratoryUniversity of Santiago de ChileSantiago de Chile 7500618Chile Center of Studies in Physical Activity Measurements School of Medicine and Health SciencesUniversidad del RosarioBogot a 111221Colombia Department of Physical Medicine and Rehabilitation University of MichiganAnn ArborMichigan 48109USA Department of Health Sciences Public University of NavarreCIBERFES(CB16/10/00315)Navarre 31009Spain CORPS Group Faculty of Health SciencesUniversity of BoyacáBoyac aTunja 153610Colombia Physical Exercise and Sports Research Group Manuela Beltrán UniversityBogot a 111221Colombia

Background: Evidence 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.Methods: A 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.Results: Receiver 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 were0.615, respectively. In females, these cut-off points were 0.437, respectively.Conclusion: Our sex-specific cut-offs of NGS could be incorporated into a clinical setting for identifying college students at cardiometabolic disease risk.

关键词： Cardiometabolic risk Muscular fitness Receiver operating characteristic curve Thresholds

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