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- The effects of aerobic, resistance or combined training on metabolic syndrome clinical biomarkers: a short reviewPublication . Teixeira, José Eduardo; Bragada, José A.; Bragada, João P.; Coelho, Joana C.M.M.; Pinto, Isabel; Reis, Luís P.; Magalhães, PedroMetabolic Syndrome (MetS) is a common metabolic disorder characterized by a cluster of factors include dysglycaemia, elevated blood pressure, elevated triglyceride levels, low high-density lipoprotein cholesterol levels, and central obesity. Sedentary lifestyle and low physical activity levels increased the interrelated risk for cardiovascular diseases and metabolic disorders. The aim of this short review was to analyse the effects of aerobic, resistance and combined training on MetS clinical biomarkers. Following the Preferred Reporting Item for Systematic Reviews and Meta-analyses (PRISMA), a systematic search of relevant Englishlanguage articles was performed from earliest record to March 2020. The literature search was performed by seven online databases specifically Web of Science (WoS), PubMed and SCOPUS. The literature search returned 14,912 articles (WoS=2,359; PubMed=1,392 and SCOPUS=11,161); 21 full-text articles were reviewed after screening procedures. From the reviewed studies, aerobic exercise was reported in nine studies and the resistance exercise was reported in five studies. The combined training (or multicomponent exercise) was reported in seven studies. Overall exercise modes decreases the MetS clinical biomarkers, however, the aerobic training seemed to be the most efficient exercise mode. Moreover, the resistance exercise appears to have a positive effect on MetS prevention when associated with aerobic exercise. Aerobic and resistance exercises can contribute significantly to metabolic syndrome prevention and reduce the associated risk of cardiovascular disease and metabolic disorders. Combining exercise modes (i.e. combined or multi-component training) could be a valid strategy to control the metabolic syndrome clinical biomarkers.
- Structural equation modelling for predicting the relative contribution of each component in the metabolic syndrome status changePublication . Teixeira, José Eduardo; Bragada, José A.; Bragada, João P.; Coelho, Joana C.M.M.; Pinto, Isabel; Reis, Luís P.; Fernandes, Paula Odete; Morais, J.E.; Magalhães, PedroUnderstanding the factor weighting in the development of metabolic syndrome (MetS) may help to predict the progression for cardiovascular and metabolic diseases. Thus, the aim of this study was to develop a confirmatory model to describe and explain the direct and indirect effect of each component in MetS status change. A total of 3581 individuals diagnosed with MetS, aged 18–102 years, were selected between January 2019 and December 2020 from a community-representative sample of Portuguese adults in a north-eastern Portuguese region to test the model’s goodness of fit. A structural equation modelling (SEM) approach and a two-way ANOVA (age × body composition) were performed to compare the relative contribution of each MetS component using joint interim statement (JIS). Waist circumference (β = 0.189–0.373, p < 0.001), fasting glucose (β = 0.168–0.199, p < 0.001) and systolic blood pressure (β = 0.140–0.162, p < 0.001) had the highest direct effect on the change in MetS status in the overall population and concerning both sexes. Moreover, diastolic blood pressure (DBP), triglycerides (TG) and high-density lipoprotein cholesterol (HDL-c) had a low or non-significant effect. Additionally, an indirect effect was reported for age and body composition involving the change in MetS status. The findings may suggest that other components with higher specificity and sensitivity should be considered to empirically validate the harmonised definition of MetS. Current research provides the first multivariate model for predicting the relative contribution of each component in the MetS status change, specifically in Portuguese adults.
- The effects of aerobic, resistance or combined training on metabolic syndrome clinical biomarkers: a short reviewPublication . Teixeira, José Eduardo; Bragada, José A.; Bragada, João P.; Coelho, Joana C.M.M.; Pinto, Isabel; Reis, Luís P.; Magalhães, PedroMetabolic Syndrome (MetS) is a common metabolic disorder characterized by a cluster of factors include dysglycaemia, elevated blood pressure, elevated triglyceride levels, low high-density lipoprotein cholesterol levels, and central obesity. Sedentary lifestyle and low physical activity levels increased the interrelated risk for cardiovascular diseases and metabolic disorders. The aim of this short review was to analyse the effects of aerobic, resistance and combined training on MetS clinical biomarkers. Following the Preferred Reporting Item for Systematic Reviews and Meta-analyses (PRISMA), a systematic search of relevant English-language articles was performed from earliest record to March 2020. The literature search was performed by seven online databases specifically Web of Science (WoS), PubMed and SCOPUS. The literature search returned 14,912 articles (WoS=2,359; PubMed=1,392 and SCOPUS=11,161); 21 full-text articles were reviewed after screening procedures. From the reviewed studies, aerobic exercise was reported in nine studies and the resistance exercise was reported in five studies. The combined training (or multicomponent exercise) was reported in seven studies. Overall exercise modes decreases the MetS clinical biomarkers, however, the aerobic training seemed to be the most efficient exercise mode. Moreover, the resistance exercise appears to have a positive effect on MetS prevention when associated with aerobic exercise. Aerobic and resistance exercises can contribute significantly to metabolic syndrome prevention and reduce the associated risk of cardiovascular disease and metabolic disorders. Combining exercise modes (i.e. combined or multi-component training) could be a valid strategy to control the metabolic syndrome clinical biomarkers.
- The effects of aerobic, resistance or combined training on metabolic syndrome clinical biomarkers: a short reviewPublication . Teixeira, José Eduardo; Bragada, José A.; Bragada, João P.; Coelho, Joana C.M.M.; Pinto, Isabel; Reis, Luís P.; Magalhães, PedroMetabolic Syndrome (MetS) is a common metabolic disorder characterized by a cluster of factors include dysglycaemia, elevated blood pressure, elevated triglyceride levels, low high-density lipoprotein cholesterol levels, and central obesity. Sedentary lifestyle and low physical activity levels increased the interrelated risk for cardiovascular diseases and metabolic disorders. The aim of this short review was to analyse the effects of aerobic, resistance and combined training on MetS clinical biomarkers. Following the Preferred Reporting Item for Systematic Reviews and Meta-analyses (PRISMA), a systematic search of relevant English-language articles was performed from earliest record to March 2020. The literature search was performed by seven online databases specifically Web of Science (WoS), PubMed and SCOPUS. The literature search returned 14,912 articles (WoS=2,359; PubMed=1,392 and SCOPUS=11,161); 21 full-text articles were reviewed after screening procedures. From the reviewed studies, aerobic exercise was reported in nine studies and the resistance exercise was reported in five studies. The combined training (or multicomponent exercise) was reported in seven studies. Overall exercise modes decreases the MetS clinical biomarkers, however, the aerobic training seemed to be the most efficient exercise mode. Moreover, the resistance exercise appears to have a positive effect on MetS prevention when associated with aerobic exercise. Aerobic and resistance exercises can contribute significantly to metabolic syndrome prevention and reduce the associated risk of cardiovascular disease and metabolic disorders. Combining exercise modes (i.e. combined or multi-component training) could be a valid strategy to control the metabolic syndrome clinical biomarkers.