Physical Activity, Sedentary Behaviour and Cardiovascular Risk Factors in Overweight Low-Income Schoolchildren: A Complex System Perspective

Author:

Bezerra Thaynã12ORCID,Souza Filho Anastácio1,Quirino Natália3,Bandeira Paulo1ORCID,Cabral Luciana4,Reuter Cézane5ORCID,Martins Clarice46ORCID,Carvalho Ferdinando7

Affiliation:

1. Physical Education Department, Regional University of Cariri, Pimenta, Crato 63100-500, Ceará, Brazil

2. Medicine Department, University Center Paraiso, Araripina 56280-000, Pernambuco, Brazil

3. Medicine Department, Nova Esperança Faculty, João Pessoa 58010-000, Paraíba, Brazil

4. Physical Education Department, Federal University of Paraiba, João Pessoa 58010-000, Paraíba, Brazil

5. Physical Education Department, University of Santa Cruz do Sul, Santa Cruz do Sul 96810-012, Rio Grande do Sul, Brazil

6. Research Centre of Physical Activity, Health and Leisure, Faculty of Sport Sciences, University of Porto, 96810-012 Porto, Portugal

7. Physical Education Department, Federal University of Vale do São Francisco, João Pessoa 48903-435, Paraíba, Brazil

Abstract

Background: 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 ventricular mass (LVM), and Sokolow–Lyon. Network analysis with Bootstrap-1000 was performed to analyse the association between PA, SB and the cardiovascular risk factors. Results: Moderate-to-vigorous PA was positive related to 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 Sokolow (0.215). In addition, the centrality indicators highlighted WC as the most important variable in the network. Conclusion: 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 the system.

Publisher

MDPI AG

Subject

Industrial and Manufacturing Engineering,Materials Science (miscellaneous),Business and International Management

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