ArticleBMC public health2014
Correlates of sedentary time in children: a multilevel modelling approach.
Article in BMC public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01722500 (International Study of Childhood Obesity, Lifestyle and the Environment), which is not on this map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE)
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application of Hierarchical/Multilevel Models and Quality of Reporting (2010-2020): A Systematic Review.TheScientificWorldJournal · 2024Pooled it
- Compliance with the Australian 24-hour movement guidelines for the early years: associations with weight status.BMC public health · 2017Trial
- Association of Sedentary Lifestyle With Skeletal Muscle Strength and Mass in US Adolescents: Results From the National Health and Nutrition Examination Survey (2011-2014).Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2025Article
- School-level intra-cluster correlation coefficients and autocorrelations for children's accelerometer-measured physical activity in England by age and gender.BMC medical research methodology · 2024Article
- Review
- Assessing Obesogenic School Environments in Sibiu County, Romania: Adapting the ISCOLE School Environment Questionnaire.Children (Basel, Switzerland) · 2023Article
- Association between school environment with sedentary behavior and physical activity intensity in children.Scientific reports · 2023Article
- Correlates of domain-specific sedentary behaviors and objectively assessed sedentary time among elementary school children.Scientific reports · 2022Article
- Sleep is Inversely Associated with Sedentary Time among Youth with Obesity.American journal of health behavior · 2020Article
- The effect of mild sleep deprivation on diet and eating behaviour in children: protocol for the Daily Rest, Eating, and Activity Monitoring (DREAM) randomized cross-over trial.BMC public health · 2019Article
- Disentangling Physical Activity and Sedentary Behavior Patterns in Children with Low Motor Competence.International journal of environmental research and public health · 2019Article
- Validation of fitness tracker for sleep measures in women with asthma.The Journal of asthma : official journal of the Association for the Care of Asthma · 2019Article
- A latent growth curve model to estimate electronic screen use patterns amongst adolescents aged 10 to 17 years.BMC public health · 2018Article
- Age at Menarche and Cardiometabolic Health: A Sibling Analysis in the Scottish Family Health Study.Journal of the American Heart Association · 2018Article
- Sibling influence on children's objectively measured physical activity: a meta-analysis and systematic review.BMJ open sport & exercise medicine · 2018Article
- Article
- Why Are Children Different in Their Daily Sedentariness? An Approach Based on the Mixed-Effects Location Scale Model.PloS one · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.