Family-based obesity treatment interventions can successfully reduce energy intake in preschoolers. An implicit goal of obesity treatment interventions is to improve diet quality, but diet quality has been less examined as a treatment outcome in studies of preschoolers. The purpose of this study was to conduct a secondary analysis comparing the change in diet quality and home food environment in preschoolers assigned to a behavioral family-based obesity intervention (LAUNCH), motivational interviewing (MI) condition, or standard care (STC) condition. Three 24-h dietary recalls were completed at baseline and 6-months and were analyzed using NDS-R software; diet quality was assessed using the Healthy Eating Index-2010 (HEI-2010). Availability of foods and beverages in the home was assessed through direct observation using the Home Health Environment tool that classifies foods and beverages as ‘red’ or ‘green’ based upon fat and sugar content. Repeated measures linear mixed effects models were used to examine changes in diet quality and home food environment between conditions (LAUNCH, MI, STC). At 6-months, preschoolers in the LAUNCH condition had a higher HEI-2010 total score (62.8 ± 13.7) compared to preschoolers in the MI (54.7 ± 13.4, P = 0.022) and STC (55.8 ± 11.6, P = 0.046) conditions. Regarding the home food environment, families in LAUNCH had significantly less ‘red’ foods in their home at 6-months (12.5 ± 3.4 ‘red’ foods) compared to families in MI (14.0 ± 3.7 ‘red’ foods, P = 0.030), and STC (14.3 ± 3.4 ‘red’ foods, P = 0.006). There were no statistically significant differences across home food environments for number of ‘green’ foods. Family-based obesity treatment interventions for preschoolers can improve overall diet quality and alter the home food environment through reductions in ‘red’ foods. Clinicaltrials.gov, NCT01546727 . Registered March 7, 2012.

Previous studies have examined correlations between BMI calculated using parent-reported and directly-measured child height and weight. The objective of this study was to validate correction factors for parent-reported child measurements. Concordance between parent-reported and investigator measured child height, weight, and BMI (kg/m2) among participants in the Neighborhood Impact on Kids Study (n = 616) was examined using the Lin coefficient, where a value of ±1.0 indicates perfect concordance and a value of zero denotes non-concordance. A correction model for parent-reported height, weight, and BMI based on commonly collected demographic information was developed using 75% of the sample. This model was used to estimate corrected measures for the remaining 25% of the sample and measured concordance between correct parent-reported and investigator-measured values. Accuracy of corrected values in classifying children as overweight/obese was assessed by sensitivity and specificity. Concordance between parent-reported and measured height, weight and BMI was low (0.007, − 0.039, and − 0.005 respectively). Concordance in the corrected test samples improved to 0.752 for height, 0.616 for weight, and 0.227 for BMI. Sensitivity of corrected parent-reported measures for predicting overweight and obesity among children in the test sample decreased from 42.8 to 25.6% while specificity improved from 79.5 to 88.6%. Correction factors improved concordance for height and weight but did not improve the sensitivity of parent-reported measures for measuring child overweight and obesity. Future research should be conducted using larger and more nationally-representative samples that allow researchers to fully explore demographic variance in correction coefficients.