To date, Healthy Eating Index 2015 (HEI-2015) scores have not been published in the peer-reviewed literature for nationally representative samples of American children. The aim of this study was to use the HEI-2015 to describe the diet quality of American children overall and within various sociodemographic populations. We used 3 cycles of NHANES dietary data sets (2009-2010, 2011-2012, and 2013-2014) to calculate HEI-2015 total and component scores by use of the population ratio method for children aged 2-18 y (n = 9000). Diet-quality scores were computed overall and by age (2-5, 6-11, and 12-18 y), gender, race or ethnicity (non-Hispanic black, non-Hispanic white, Mexican American, other Hispanic, and other race), and family poverty-to-income ratio (below or at or above the poverty threshold). HEI-2015 mean total and component scores were computed along with 95% CIs. The HEI-2015 total mean score for children overall was 54.9 (range: 0-100). As the age group increased, the total scores decreased; the total mean score was significantly higher for children in the youngest age group compared with the 2 older age groups (60.1 compared with 53.9 compared with 52.0, respectively). The total mean score was significantly lower for non-Hispanic black children compared with Mexican American children, other Hispanic children, and children of other races (52.6 compared with 57.0, 56.8, and 57.1, respectively). The total mean score was significantly lower for non-Hispanic white children compared with Mexican-American children (54.2 compared with 57.0). No differences in total mean scores were apparent between boys and girls or between poverty threshold classes. The total mean scores for cross-classified sociodemographic characteristics generally followed the same patterns observed for single characteristics, with notable differences occurring within age and race or ethnicity classes. The diet quality of American children remains low overall, with continued disparities across some sociodemographic populations, notably age and race or ethnicity. The results of these analyses can help guide the efforts of child nutrition researchers, practitioners, and other stakeholders.

The objectives for this study were to examine the location and density of measured food outlets in five rural towns in the Lower Mississippi Delta, determine the spatial location of Delta Healthy Sprouts (DHS) participants’ homes in the food environment, and examine relationships between the spatial location of participants’ homes and their diet quality. Using a food desert/food swamp framework, food outlet geographic locations were analyzed in relation to one another, the distance between DHS participants’ residence and closest food outlets by class were computed, and associations among residents’ diet quality, hot spot status, and census tract classification were explored. Of 266 food outlets identified, 11 (4%), 86 (32%), 50 (19%), and 119 (45%) were classified as grocery stores (GS), convenience stores (CS), full-service restaurants (FS), or fast food restaurants (FF), respectively. A third of participants lived in CS hot spots, while 22% lived in FF hot spots. DHS participants lived closer in miles to CS (0.4) and FF (0.5) as compared to GS (1.6) and FS (1.1) outlets. Participants bought most groceries at national chain grocery stores rather than their closest grocery store. The food environments of the five towns and associated neighborhoods in which DHS participants resided were not supportive of healthful eating, containing both food deserts and food swamps, often in overlapping patterns.

The Client Evaluation of Motivational Interviewing was used to assess motivational interviewing experiences in a predominantly female, African American sample from the Southeastern United States who received motivational interviewing–based feedback during a multicomponent lifestyle intervention. Motivational interviewing was experienced differently than a primarily White, male, Northeastern mental health sample.

Summary: Objective: The primary objective was to use the Healthy Eating Index‐2015 (HEI‐2015) to describe diet quality by categories of body mass index (BMI) and by sociodemographic characteristics within categories of BMI using a nationally representative sample of US children.Methods: Dietary datasets from three cycles of the National Health and Nutrition Examination Survey (2009‐2014) were analysed for children 2 to 18 years of age (N = 8894). Using the population ratio method, mean and 95% confidence intervals for HEI‐2015 total and component scores were computed by BMI (underweight, normal weight, overweight, and obese) and by age (2‐5, 6‐11, and 12‐18 y), gender, race/ethnicity (non‐Hispanic black, non‐Hispanic white, Mexican American, other Hispanic, and other race), and family poverty to income ratio (below and at/above poverty threshold).Results: HEI‐2015 mean total scores were 50.4, 55.2, 55.1, and 54.0 out of 100 points for children with underweight, normal weight, overweight, and obesity, respectively, and were not significantly different. Within BMI categories, significant differences in total and mean component scores were present for age and race/ethnicity groups.Conclusions: Total and most components of diet quality did not significantly differ among child populations classified by BMI status. Within BMI categories, significant diet quality differences were found for age and race/ethnicity groups, although scores were low for all child groups. Researchers may need to address or target specific dietary components with low quality in various child populations to have the greatest effect on improving nutrition nationwide.

Background: Children’s food preference and intake patterns are affected by parental child feeding practices. The objective was to determine patterns of food parenting practices regarding junk food and sugary drinks (JS) and investigate their associations with demographic characteristics and dietary intake in a large cohort of parents and their children (12–17 years). Methods: Dyadic survey data from the cross-sectional, internet-based Family Life, Activity, Sun, Health, and Eating Study, conducted in 2014, were analyzed using latent class analysis to identify patterns of use for six JS parenting practices – negative emotions, restriction, monitoring, availability, modeling, and child involvement – based on parent and child report. Model covariates included self-reported parent and child sex, age (child only), body mass index category (based on height and weight), added sugars intake, and legitimacy of parental authority. Results: Based on 1657 parent-child dyads, five parenting practice patterns were identified representing different levels of practice use – Complete Influencers (28%; reference class), Indifferent Influencers (21%), Negative Influencers (20%), Minimal Influencers (18%), and Disagreeing Influencers (13%). Compared to older child dyads, younger child dyads were less likely to belong to Indifferent and Minimal Influencers (79 and 63% lower odds, respectively). Greater parent added sugars intake increased the odds of belonging to Indifferent and Negative Influencers (4 and 5% higher for every teaspoon increase, respectively) while greater child added sugars intake decreased the odds of belonging to Minimal Influencers (6% lower for every teaspoon increase). Compared to dyads with high scores, dyads with low child scores for legitimacy of parental authority regarding JS were 18 times as likely to belong to Disagreeing Influencers. Conclusions: The study findings suggest that parents utilize distinct patterns of feeding practices regarding JS ranging from use of many practices, use of some practices, to low use of any practice, with differential associations with parent and child intakes of added sugars. Counseling or intervening with parents to use a mix of structure practices, such as availability and modeling, to positively influence their child’s and possibly their own intake of sugary snacks and drinks may prove more efficacious than use of coercive control practices, such as negative emotions.