MOESM1 of Substituting prolonged sedentary time and cardiovascular risk in children and youth: a meta-analysis within the International Children’s Accelerometry database (ICAD)
Creators: name: Wijndaele, Katrien
name: White, Thomas
name: Andersen, Lars
name: Bugge, Anna
name: Kolle, Elin
name: Northstone, Kate
name: Wedderkopp, Niels
name: Ried-Larsen, Mathias
name: Kriemler, Susi
name: Page, Angie
name: Jardena Puder
name: Reilly, John
name: Sardinha, Luis
name: Sluijs, Esther
name: Sharp, Stephen
name: Brage, Søren
name: Ekelund, Ulf
name: L. Andersen
name: A. Atkin
name: G. Cardon
name: R. Davey
name: U. Ekelund
name: D. Esliger
name: P. Hallal
name: B. Hansen
name: K. Janz
name: S. Kriemler
name: N. Møller
name: K. Northstone
name: A. Page
name: R. Pate
name: J. Puder
name: J. Reilly
name: J. Salmon
name: L. Sardinha
name: L. Sherar
name: A. Timperio
name: E. Sluijs
Publisher: name: figshare
Year: 2019
Subjects: subject: Medicine
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Science Policy
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified

description: Additional file 1: Table S1. Individual cohort characteristics and descriptive statistics of cardio-metabolic outcome variables, ICAD. Table S2. Cross-sectional associations between prolonged sedentary time, defined as &gt; 30 min bouts, and cardio-metabolic risk, ICAD. Table S3. Cross-sectional associations between prolonged sedentary time and cardio-metabolic risk, ICAD (&gt; = 3 valid day with &gt; = 1 valid weekend day). Table S4. Cross-sectional associations between prolonged sedentary time and cardio-metabolic risk with more elaborate adjustment for confounding, ICAD (&gt; = 1 valid day). Figure S1. Meta-analysis for standardised BMI, showing regression coefficients (95% CI) from cross-sectional iso-temporal models examining substitution of prolonged sedentary time with non-prolonged sedentary time, light and moderate-to-vigorous physical activity, ICAD. Figure S2. Meta-analysis for waist circumference, showing regression coefficients (95% CI) from cross-sectional iso-temporal models examining substitution of prolonged sedentary time with non-prolonged sedentary time, light and moderate-to-vigorous physical activity, ICAD. Figure S3. Meta-analysis for HDL cholesterol, showing regression coefficients (95% CI) from cross-sectional iso-temporal models examining substitution of prolonged sedentary time with non-prolonged sedentary time, light and moderate-to-vigorous physical activity, ICAD. Figure S4. Meta-analysis for systolic blood pressure, showing regression coefficients (95% CI) from cross-sectional iso-temporal models examining substitution of prolonged sedentary time with non-prolonged sedentary time, light and moderate-to-vigorous physical activity, ICAD. Figure S5. Meta-analysis for diastolic blood pressure, showing regression coefficients (95% CI) from cross-sectional iso-temporal models examining substitution of prolonged sedentary time with non-prolonged sedentary time, light and moderate-to-vigorous physical activity, ICAD. Figure S6. Meta-analysis for clustered cardio-metabolic risk, showing regression coefficients (95% CI) from cross-sectional iso-temporal models examining substitution of prolonged sedentary time with non-prolonged sedentary time, light and moderate-to-vigorous physical activity, ICAD. Figure S7. Meta-analysis for clustered cardio-metabolic risk excluding waist circumference, showing regression coefficients (95% CI) from cross-sectional iso-temporal models examining substitution of prolonged sedentary time with non-prolonged sedentary time, light and moderate-to-vigorous physical activity, ICAD (DOCX 173 kb)