Tiago Rodrigues de Lima1, David A González-Chica2, Diego A Santos Silva3. 1. Research Center in Kinanthropometry and Human Performance, Federal University of Santa Catarina, Florianopolis, Brazil - tiago.rodrigues.lima@posgrad.ufsc.br. 2. Adelaide Medical School, University of Adelaide, Adelaide, Australia. 3. Research Center in Kinanthropometry and Human Performance, Federal University of Santa Catarina, Florianopolis, Brazil.
Abstract
BACKGROUND: Cardiovascular diseases are the leading cause of death globally. The aim of the study was to investigate the relationship between muscle strength (MS) and clusters of metabolic syndrome (MetS) components in adults. METHODS: Population-based cross-sectional study comprising 533 adults (45.3±11.1 years) from Florianópolis, Brazil. MS - calculated as the ratio between absolute strength (kgf) and body mass (kg) - was measured by handgrip dynamometry. Data on blood pressure, waist circumference, lipids and blood glucose were used to identify MetS components that were analyzed as individual variables and clusters. Multiple linear regression adjusted was used. RESULTS: Individually, MS was inversely associated with all MetS components (1, 2, 3 and 4 factors, β of at least -0.08 kgf/kg). In addition, MS was negatively associated with number of positive MetS components (1, 2, 3 and 4 factors; β of at least -0.05 kgf/kg). Individually or combined in clusters of two, three and four risk factors (β of at least -0.20 kgf/kg), abdominal obesity was directly associated with lower MS values. All combinations of 3 and 4 MetS components (β of at least -0.13 kgf/kg) were inversely associated with MS. CONCLUSIONS: Greater number of individual MetS components were related to lower MS values.
BACKGROUND:Cardiovascular diseases are the leading cause of death globally. The aim of the study was to investigate the relationship between muscle strength (MS) and clusters of metabolic syndrome (MetS) components in adults. METHODS: Population-based cross-sectional study comprising 533 adults (45.3±11.1 years) from Florianópolis, Brazil. MS - calculated as the ratio between absolute strength (kgf) and body mass (kg) - was measured by handgrip dynamometry. Data on blood pressure, waist circumference, lipids and blood glucose were used to identify MetS components that were analyzed as individual variables and clusters. Multiple linear regression adjusted was used. RESULTS: Individually, MS was inversely associated with all MetS components (1, 2, 3 and 4 factors, β of at least -0.08 kgf/kg). In addition, MS was negatively associated with number of positive MetS components (1, 2, 3 and 4 factors; β of at least -0.05 kgf/kg). Individually or combined in clusters of two, three and four risk factors (β of at least -0.20 kgf/kg), abdominal obesity was directly associated with lower MS values. All combinations of 3 and 4 MetS components (β of at least -0.13 kgf/kg) were inversely associated with MS. CONCLUSIONS: Greater number of individual MetS components were related to lower MS values.
Authors: T C Ghitea; S Vlad; D Birle; D M Tit; L Lazar; C Nistor-Cseppento; T Behl; S Bungau Journal: Acta Endocrinol (Buchar) Date: 2020 Oct-Dec Impact factor: 0.877