The Risk of Pediatric Overweight and Children’s Objectively Measured Sedentary Behaviors and Physical Activity by Area of Residence

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Publicado en:Healthcare vol. 13, no. 5 (2025), p. 462
Autor principal: Machado-Rodrigues, Aristides M
Otros Autores: Rodrigues, Daniela, Nogueira, Helena, Gama, Augusta, Helder Miguel Fernandes, Neto, Antonio Stabelini, Padez, Cristina
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MDPI AG
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022 |a 2227-9032 
024 7 |a 10.3390/healthcare13050462  |2 doi 
035 |a 3176359021 
045 2 |b d20250301  |b d20250314 
084 |a 231469  |2 nlm 
100 1 |a Machado-Rodrigues, Aristides M  |u University of Coimbra, Faculty of Sport Sciences and Physical Education, 3040-248 Coimbra, Portugal; University of Coimbra, Interdisciplinary Center for the Study of Human Performance (CIPER), 3040-248 Coimbra, Portugal; Research Centre for Anthropology and Health, University of Coimbra, 3000-456 Coimbra, Portugal; <email>drdc@uc.pt</email> (D.R.); <email>uc6354@fl.uc.pt</email> (H.N.); <email>maantunes@ciencias.ulisboa.pt</email> (A.G.); <email>cpadez@antrop.uc.pt</email> (C.P.) 
245 1 |a The Risk of Pediatric Overweight and Children’s Objectively Measured Sedentary Behaviors and Physical Activity by Area of Residence 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a Background/Objectives: Research considering objectively measured moderate-to-vigorous physical activity (MVPA) and sedentary behaviors (SB) and health outcomes among urban children has produced equivocal findings. Therefore, this study was designed (i) to compare MVPA and SB of urban and non-urban children and (ii) to analyze associations between the risk of overweight and MVPA of children by their degree of urbanization. Methods: The sample comprised 389 children (195 girls) aged 6 to 10 years. Measurements for height and weight were taken, followed by the calculation of body mass index (BMI). A motion sensor was employed to gather data on MVPA and SB for 7 days. Urban regions were characterized as areas with a population density exceeding 500 inhabitants per square kilometer or having a total population greater than 50,000. ANOVAs, partial correlations, and logistic regression analysis were used, controlling for potential confounders. Results: After controlling for wearing time and sex, urban children were significantly less active (lower MVPA) than non-urban peers [i.e., urban: 48 min/day vs. 51 min/day (non-urban)]. On the other hand, urban children spent significantly more time on SB than their non-urban counterparts on the weekend and during all assessed days. MVPA was significantly associated with the risk of being overweight at the weekend for both urban and non-urban children. Inspection of the final regression model indicated that urban children who engaged in sedentary behavior for extended periods were at a higher risk of being categorized as overweight. Conclusions: Findings revealed the association between MVPA and the risk of overweight on weekdays was just significant for urban children. The location where a child lives significantly influences their weight status, and therefore, community-based programs [at schools (PE and recess) and after-school (organized sports)] should be developed that encourage active lifestyles tailored to urban environments. 
651 4 |a Portugal 
653 |a Parents & parenting 
653 |a Exercise 
653 |a Socioeconomic factors 
653 |a Schools 
653 |a Trends 
653 |a Obesity 
653 |a Overweight 
653 |a Children & youth 
653 |a Urban areas 
653 |a Ethics 
653 |a Guardians 
653 |a Sedentary behavior 
653 |a Pediatrics 
653 |a Accelerometers 
653 |a Education 
653 |a Childhood 
653 |a Lifestyles 
653 |a Socioeconomic status 
700 1 |a Rodrigues, Daniela  |u Research Centre for Anthropology and Health, University of Coimbra, 3000-456 Coimbra, Portugal; <email>drdc@uc.pt</email> (D.R.); <email>uc6354@fl.uc.pt</email> (H.N.); <email>maantunes@ciencias.ulisboa.pt</email> (A.G.); <email>cpadez@antrop.uc.pt</email> (C.P.); Department of Life Sciences, University of Coimbra, 3000-456 Coimbra, Portugal 
700 1 |a Nogueira, Helena  |u Research Centre for Anthropology and Health, University of Coimbra, 3000-456 Coimbra, Portugal; <email>drdc@uc.pt</email> (D.R.); <email>uc6354@fl.uc.pt</email> (H.N.); <email>maantunes@ciencias.ulisboa.pt</email> (A.G.); <email>cpadez@antrop.uc.pt</email> (C.P.); Department of Geography and Tourism, University of Portugal, 3000-456 Coimbra, Portugal 
700 1 |a Gama, Augusta  |u Research Centre for Anthropology and Health, University of Coimbra, 3000-456 Coimbra, Portugal; <email>drdc@uc.pt</email> (D.R.); <email>uc6354@fl.uc.pt</email> (H.N.); <email>maantunes@ciencias.ulisboa.pt</email> (A.G.); <email>cpadez@antrop.uc.pt</email> (C.P.); Faculty of Sciences, University of Lisbon, 1749-016 Lisbon, Portugal 
700 1 |a Helder Miguel Fernandes  |u Polytechnic Institute of Guarda, 6300-559 Guarda, Portugal; <email>hmfernandes@ipg.pt</email>; Sport Physical Activity and Health Research & Innovation Center (SPRINT), 6300-559 Guarda, Portugal 
700 1 |a Neto, Antonio Stabelini  |u Health Sciences Center, State University of Northern Parana, Jacarezinho 86400-000, Brazil; <email>asneto@uenp.edu.br</email> 
700 1 |a Padez, Cristina  |u Research Centre for Anthropology and Health, University of Coimbra, 3000-456 Coimbra, Portugal; <email>drdc@uc.pt</email> (D.R.); <email>uc6354@fl.uc.pt</email> (H.N.); <email>maantunes@ciencias.ulisboa.pt</email> (A.G.); <email>cpadez@antrop.uc.pt</email> (C.P.); Department of Life Sciences, University of Coimbra, 3000-456 Coimbra, Portugal 
773 0 |t Healthcare  |g vol. 13, no. 5 (2025), p. 462 
786 0 |d ProQuest  |t Nursing & Allied Health Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3176359021/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3176359021/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
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