At each and every studies range timepoint (BL, FU1, and FU2), one or two 24-h dieting remembers at the several independent domestic check outs was basically performed within this one month out of accelerometer testing by using the Diet Studies Program to possess Lookup (NDSR) . Assessments was basically conducted on one week-end big date plus one weekday inside a comparable few days of the trained interviewers who used a single 24-h dietary remember on the child in his/their particular common language (Spanish/English). The brand new interviewers accumulated fat loss studies using laptops equipped with NDSR, a diet studies system designed for the latest collection Uruguay kadД±n Г§Д±kД±yor and you will analyses out-of 24-h fat loss recalls, dinner info, menus and you can pattern . Interviewers held the fat loss recalls with respect to the prompts supplied by this new NDSR system . Overall times intake of for every single 24-h weight loss bear in mind (weekend and you can weekday) try computed having fun with NDSR. Time intake is actually computed as the mediocre overall times consumption having the brand new weekend big date and you can weekday.

Bmi z-get (BMIz)

Kids’ peak and you may lbs were mentioned at all three timepoints having fun with standard methods from inside the backup, just like the professionals was basically wear light interior outfits without boots [66, 67]. SECA mobile phone stadiometers and SECA cellular apartment digital bills with remote display were utilized to own computing level and lbs. Bmi is transformed into BMIz playing with Federal Youngster Wellness Statistics progress shape .

Covariates

Pubertal status is actually examined utilising the 5-items Pubertal Invention Size . This size, having sizes having boys and you may girls, requires regarding the physical advancement on features of this real growth; z-ratings having boys and you will girls was in fact calculated. Acculturation (knowledge that you to definitely abides by the newest prominent cultural norms) and you can enculturation (education to which that maintains your individual social norms) was assessed with the 6-item English code explore and you can six-goods Spanish language explore subscales of your validated Bidimensional Acculturation Size to own Hispanics, respectively . An illustration item try “How frequently do you speak English with your loved ones?” Facts were scored off never (=1) to help you always (=5) and had a reliabilities inside shot (? = 0.88–0.94).

Analysis

Detailed analytics to possess group suggestions, bed period, MVPA and energy intake from the review months have been determined having fun with IBM SPSS 24 Statistics having 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 < 0.001).> 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.