Correlates of sedentary time in children: a multilevel modelling approach

BMC Public Health

Research Article

Thayse Natacha Gomes¹  Sara Pereira¹  Daniel Santos¹  José Maia¹  Fernanda Karina dos Santos²  Raquel Chaves³  Peter Todd Katzmarzyk⁴ 

[1] CIFI2D, Faculty of Sport, University of Porto, Rua Dr Plácido Costa, 91, 4200-450, Porto, Portugal;CIFI2D, Faculty of Sport, University of Porto, Rua Dr Plácido Costa, 91, 4200-450, Porto, Portugal;CAPES Foundation, Ministry of Education of Brazil, Brasília, DF, Brazil;Federal University of Technology – Paraná (UTFPR), Campus Curitiba, Curitiba, Brazil;Pennington Biomedical Research Center, 6400 Perkins Road, 70808-4124, Baton Rouge, LA, USA;

关键词: Sedentary behaviour;    Children;    School;    Multilevel modelling;   

DOI  :  10.1186/1471-2458-14-890

 received in 2014-03-11, accepted in 2014-08-26,  发布年份 2014

来源: Springer

【 摘 要 】

BackgroundSedentary behaviour (SB) has been implicated as a potential risk factor for chronic disease. Since children spend most of their awake time in schools, this study aimed to identify individual- and school-level correlates of sedentary time using a multilevel approach, and to determine if these correlates have a similar effect in normal weight (NW) and overweight/obese (O/O) children.MethodsSample comprised 686 Portuguese children aged 9-10 years from 23 schools that took part in the ISCOLE project. Actigraph GT3X + accelerometers were used 24 hours/day for 7 days to assess sedentary time (daily minutes <100 counts/min); BMI was computed and WHO cut-points were used to classify subjects as NW or O/O. Sex, BMI, number of siblings, family income, computer use on school days, and sleep time on school days were used as individual-level correlates. At the school level, school size (number of students), percentage of students involved in sports or physical activity (PA) clubs, school promotion of active transportation, and students’ access to equipment outside school hours were used. All multilevel modelling analysis was done in SPSS, WINPEPI, and HLM.ResultsSchool-level correlates explain ≈ 6.0% of the total variance in sedentary time. Results (β ± SE) showed that boys (-30.85 ± 5.23), children with more siblings (-8.56 ± 2.71) and those who sleep more (-17.78 ± 3.06) were less sedentary, while children with higher family income were more sedentary (4.32 ± 1.68). At the school level, no variable was significantly correlated with sedentary time. Among weight groups, variables related to sedentary time in NW were sex, sleep time and family income, while in O/O sex, number of siblings and sleep time were significant correlates. No school-level predictors were significantly associated in either of the weight groups.ConclusionNotwithstanding the relevance of the school environment in the reduction of children’s sedentary time, individual and family characteristics played a more relevant role than the school context in this study.

【 授权许可】

Unknown   
© Gomes et al.; licensee BioMed Central Ltd. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.