Bezerra, T.; Souza Filho, A.; Quirino, N.; Bandeira, P.; Cabral, L.; Reuter, C.; Martins, C.; Carvalho, F. Physical Activity, Sedentary Behaviour and Cardiovascular Risk Factors in Overweight Low-Income Schoolchildren: A Complex System Perspective. Obesities2023, 3, 86-96.
Bezerra, T.; Souza Filho, A.; Quirino, N.; Bandeira, P.; Cabral, L.; Reuter, C.; Martins, C.; Carvalho, F. Physical Activity, Sedentary Behaviour and Cardiovascular Risk Factors in Overweight Low-Income Schoolchildren: A Complex System Perspective. Obesities 2023, 3, 86-96.
Bezerra, T.; Souza Filho, A.; Quirino, N.; Bandeira, P.; Cabral, L.; Reuter, C.; Martins, C.; Carvalho, F. Physical Activity, Sedentary Behaviour and Cardiovascular Risk Factors in Overweight Low-Income Schoolchildren: A Complex System Perspective. Obesities2023, 3, 86-96.
Bezerra, T.; Souza Filho, A.; Quirino, N.; Bandeira, P.; Cabral, L.; Reuter, C.; Martins, C.; Carvalho, F. Physical Activity, Sedentary Behaviour and Cardiovascular Risk Factors in Overweight Low-Income Schoolchildren: A Complex System Perspective. Obesities 2023, 3, 86-96.
Abstract
This study analysed through the perspective of networks the association between physical activity (PA), sedentary behaviour (SB), and cardiovascular risk factors in overweight low-income schoolchildren from the perspective of complex systems. Methods: The sample consisted of 41 overweight children between 6 and 10 years old (56% girls). PA and SB were analysed by accelerometer, and the measures of cardiovascular factor risk were: anthropometric and hemodynamic measurements, body fat, lipid profile and glucose, cardiorespiratory fitness (CRF), left ven-tricular mass (LVM), and Sokolov-Lyon. Network analysis with Boot-strap-1000 was performed to analyze the association between PA, SB and the cardiovascular risk factors. Results: Moderate to vigorous PA was positive related with Waist circumference (WC; 0.499), HDL-C (0.307), and CRF (0.276), and negatively associated with BMI (-0.251) and Fat (-0.341). For SB, positive associations were seen with WC (0.326), CRF (0.296), LVM (0.250) and Sokolov (0.215). Adicionalment, the centrality indicators highlighted WC as the most important variable in the network. Conclu-sion: Interventions that aim to mitigate the harmful effects of obesity on cardiovascular risk factors in overweight children should consider WC as an important variable in of system.
Medicine and Pharmacology, Pediatrics, Perinatology and Child Health
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