Additional file 1 of Device-measured physical activity and adiposity in schoolchildren: a 30-week follow-up study
Year: 2025
Type: article
Abstract: Additional file 1: Tables S1-S10 and Figures S1-S9. Table S1—STROBE Statement. Checklist of items that should be included in reports of longitudinal studies. Table S2—Characteristics of eMOVI participants that were included vs. excluded from the current analyses. Table S3—Characteristics of eMOVI participants that have at least one week of step data vs. eMOVI participants that have at least 18 of weeks of step data. Table S4—Mean difference between daily steps indicators by daily steps (complete week) categories and schools. Table S5—Cross-frequency table by categories of daily steps on weekdays and daily steps on weekend, by sex. Table S6—Analysis of covariance of adiposity indicators by categories of mean daily steps on complete week, weekdays, weekends, and percentage of days meeting daily step recommendations in girls. Table S7—Analysis of covariance of adiposity parameters by categories of mean daily steps on complete week, weekdays, weekends, and percentage of days meeting daily step recommendations in boys. Table S8—Multivariable mixed-effects linear regression model of 1,000 steps/day increment (for complete week, weekdays, and weekends) on adiposity parameters, by sex. Table S9—Analysis of covariance of adiposity indicators by categories of mean daily steps on complete week, weekdays, weekends, and percentage of days meeting daily step recommendations controlling age, sex, number of weeks with step data, adherence to mediterranean diet, and maternal education.Table S10—Analysis of covariance of adiposity parameters by categories of mean daily steps in a full week, on weekdays and on weekends, and percentage of days meeting daily step recommendations including subjects with at least 12 weeks of step data (n = 450). Fig. S1—Diagram flow of the study participants in the current study, from the original e-MOVI project. Fig. S2—Timetable for data collection. Fig. S3—Directed acyclic graph for the causal structure of the relationship between daily steps indicators and body mass index, percentage of body fat, and waist circumference. Fig. S4—Mean differences in body mass index, percentage of body fat, and waist circumference according to categories of mean daily steps in a complete week, on weekdays, and on weekend, and percentage of days meeting daily step recommendations, controlling for age, sex, and number of weeks with step data. The line indicates significant differences in the means (p < 0.05).Fig. S5—Restricted cubic splines with 95% confidence interval for the association of daily steps and percentage of days meeting daily step recommendations with body mass index (kg/m2) by sex, controlling for age and number of weeks with step data. Fig. S6—Restricted cubic splines with 95% confidence interval for the association of daily steps and percentage of days meeting daily step recommendations with percentage of body fat by sex, controlling for age and number of weeks with step data.Fig. S7—Restricted cubic splines with 95% confidence interval for the association of daily steps and percentage of days meeting daily step recommendations with waist circumference (cm) by sex, controlling for age and number of weeks with step data. Fig. S8—LOESS regression with 95% confidence interval for partial correlation coefficients (r) of daily steps during the complete week with adiposity parameters, controlling for age and sex by number of weeks of follow-up accumulated (1 to 24 weeks). Fig. S9—LOESS regression with 95% confidence interval for partial correlation coefficients (r) of daily steps during the complete week with adiposity parameters, controlling for age and sex by number of weeks with step data.
Source: Figshare
Authors: Rodríguez-Gutiérrez, Eva, Martínez-Vizcaíno, Vicente, Sequí-Domínguez, Irene, Núñez de Arenas-Arroyo, Sergio, Henriksson, Pontus, Herraiz-Adillo, Ángel, Torres-Costoso, Ana
Language: English
Topic: Physical Activity and Health
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6902218519
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