During the BL, moms and dads claimed with the youngster sex and you will pubertal condition, family money, and you will acculturation/enculturation
At each and every investigation range timepoint (BL, FU1, and you can FU2), one or two 24-h weight-loss remembers on several separate home check outs had been performed contained in this a month out of accelerometer investigations making use of the Nutrients Studies System to have Search (NDSR) . Tests had been presented using one week-end time plus one weekday within a similar few days of
Body mass index z-score (BMIz)
Children’s top and you will lbs was measured whatsoever about three timepoints playing with basic methods from inside the duplicate, as members was indeed wear white indoor dresses without boots [66, 67]. SECA mobile phone stadiometers and you will SECA cellular apartment electronic scales that have secluded monitor were utilized getting calculating level and you may lbs. Body mass index is actually converted to BMIz having fun with National Child Fitness Statistics progress contours .
Covariates
Pubertal reputation is actually reviewed utilising the 5-goods Pubertal Development Level . That it scale, that have items for boys and you will girls, requires on physical advancement for the features in the actual growth; z-scores to have boys and you may girls was indeed computed. Acculturation (degree to which you to adheres to the fresh new dominant social norms) and you can enculturation (training to which one to holds one’s very own cultural norms) was basically reviewed utilising the 6-items English vocabulary explore and six-goods Foreign-language vocabulary have fun with subscales of the confirmed Bidimensional Acculturation Measure for
Analysis
Descriptive analytics to own demographic guidance, bed years, MVPA and energy consumption by assessment period was indeed calculated using IBM SPSS 24 Statistics to have Window (Armonk, NY: IBM Corp).
Cross-lagged panel design
An a priori model (Fig. 2) delineating the concurrent relationships (zero-order correlations) between sleep duration (hours), MVPA, energy intake (kcals), and BMIz, and cross-lagged effect of sleep duration, MVPA, and energy intake at BL and FU1 on BMIz at FU1 and FU2, respectively, was examined using cross-lagged panel modeling. This approach is widely used in analysis of longitudinal data to test longitudinal predictive effects between variables, such as MVPA on BMIz while accounting for auto-regressive effects of past behavior on future respective behavior, such as MVPA at BL on subsequent MVPA at FU1. Potential covariates included child gender and pubertal status, household income and enculturation as covariates of sleep duration, MVPA, energy intake and BMIz. The variable representing the missing data pattern was included as a covariate of pubertal status (? = 0.12, p = 0.03) and BMIz at BL (? = 0.16, p 0.20. First, we fit the model with no constraints. Second, we fit a model with equality constraints, and finally fit a modified constrained model. We used cross-model-goodness-of-fit comparisons to guide selection of the final empirical model. The Satorra-Bentler scaled chi-square test statistic assessed goodness-of-fit of the model (p > 0.05), and approximate model fit was examined using the recommendations of Hu and Bentler ; i.e., comparative fit index (CFI) ? 0.95; root mean square error of approximation (RMSEA) ? .06, standardized root mean square residual (SRMR) ? .08. The final model was selected based on the lowest Akaike information criterion (AIC) . Standardized beta-coefficients (?) were examined for significance, magnitude and direction of relationship. Modeling was performed using Mplus, with full information maximum likelihood (FIML) to accommodate missing values. The number of observations in the analysis was 323. The FIML feature incorporates measures that support missing completely at random (MCAR). Mediation was tested using the INDIRECT command within Mplus, which estimates indirect effects with the delta method standard errors.