| Autor: |
Reis LN; Universidade Federal do Rio Grande do Sul, School of Physical Education, Physiotherapy and Dance, Postgraduate Program in Human Movement Sciences, Porto Alegre, Rio Grande do Sul, Brazil., Reuter CP; Universidade de Santa Cruz do Sul, Postgraduate Program in Health Promotion, Santa Cruz do Sul, Rio Grande do Sul, Brazil., Bergmann GG; Universidade Federal de Pelotas, Postgraduate Program in Physical Education, School of Physical Education, Pelotas, Rio Grande do Sul, Brazil., Mota J; Universidade do Porto, College of Sports, Porto, Portugal., Gaya ACA; Universidade Federal do Rio Grande do Sul, School of Physical Education, Physiotherapy and Dance, Postgraduate Program in Human Movement Sciences, Porto Alegre, Rio Grande do Sul, Brazil., Bandeira PF; Department of Physical Education, Universidade Regional do Cariri, Cariri, Ceará, Brazil., de Borba Schneiders L; Universidade Federal do Rio Grande do Sul, School of Physical Education, Physiotherapy and Dance, Postgraduate Program in Human Movement Sciences, Porto Alegre, Rio Grande do Sul, Brazil., Felin Fochesatto C; Universidade Federal do Rio Grande do Sul, School of Physical Education, Physiotherapy and Dance, Postgraduate Program in Human Movement Sciences, Porto Alegre, Rio Grande do Sul, Brazil., Brand C; Pontificia Universidad Católica de Valparaíso, Physical Education School, IRyS Group, Valparaíso, Chile., Gaya AR; Universidade Federal do Rio Grande do Sul, School of Physical Education, Physiotherapy and Dance, Postgraduate Program in Human Movement Sciences, Porto Alegre, Rio Grande do Sul, Brazil. |
| Abstrakt: |
This study to examine associations between cardiorespiratory fitness (CRF), 24-hour movement components, and cardiometabolic risk factors in children from southern Brazil, emphasizing the critical variables in these relationships. The sample included 186 schoolchildren (6-11 years, 8.57±1.56). Waist circumference (WC) and CRF were assessed using PROESP-Br protocols, while physical activity (moderate to vigorous - MVPA, and light - LPA) was measured via accelerometers. Sleep and screen time were reported by parents, and fasting blood samples provided data on triglycerides, HDL cholesterol, glucose, insulin, and HOMA-IR. Network analysis highlight WC, systolic blood pressure, and MVPA as central variables with significant connectivity. MVPA emerged as central among 24-hour movement behaviors, with CRF playing an intermediary role. Results underscore WC and MVPA's relationship on cardiometabolic health, supporting interventions targeting MVPA to prevent early cardiometabolic risks in children. |
