Kendra Kattelmann

Previous evidence suggests that children’s eating behaviors were largely influenced by the parent and home eating structure. This study examined the relationship between parenting styles (including authoritative, authoritarian, indulgent, and uninvolved), food parenting practices (within Structure, Coercive Control, and Autonomy Support constructs) and dietary intakes of preschoolers. Children aged 3–5 years and their parents were recruited from preschools/daycare centers and parents completed the surveys (n = 166). Dietary intakes were collected using the Harvard Service Food Frequency Questionnaire (HSFFQ), parenting style was assessed using the Parenting Dimensions Inventory-Short Version (PDI-S), and food parenting practices were measured using Comprehensive Home Environment Survey (CHES). The results showed that food parenting practices had a higher number of specific significant findings on children’s nutrient and food group intakes than parenting styles. Correlation analyses showed positive parenting practices within Structure were significantly related to healthier children’s intakes (e.g., vegetables, iron, and folate) and less unhealthy dietary intakes (e.g., sweets and total fats). Regression models show that children with authoritative parents consumed more fruits compared to children with authoritarian parents and indulgent parents. The results addressed the importance of parental influences for preschoolers’ healthy dietary intakes, which suggested that future interventions and educational programs could enhance parenting practices to impact child diet.

Adult physical activity levels influence youth physical activity levels, but the nature of this relationship is still unknown. Most research focusing on this topic has been conducted with accelerometers, which are ideal since self-report physical activity measures can be biased. However, self-report measures for physical activity are useful to include in studies to gather information at low-cost. The purpose of this study was to further develop a self-report adult-youth dyad measure of physical activity. This study was conducted using secondary data analysis of the physical activity measures used in an intervention on behavioral nutrition (iCook 4-H). Participants were a sample of 214 adults (M = 39.0, SD = 8.0 years) and youth (M = 9.4, SD = 0.7 years) pairs. Accelerometer data was collected for a subset of youth (n = 122). There was dependency between the adult-youth physical activity data, and a dyadic confirmatory factor analysis model showed good fit to the data and achieved metric invariance, a measure to determine if the same construct was being measured in both youth and adults. Invariance was confirmed across matched versus unmatched sex pairs and some evidence of invariance with youth accelerometer data. Based on study findings, when using self-report measures of physical activity, researchers should measure both members of the adult-youth dyad to get more accurate measurements. Further validation of these findings is needed using an objective physical activity measure, like accelerometers, with all participants and more diverse samples.

Train-the-Trainer (TTT) methodology uses an expert to train a non-expert on how to implement an intervention and is often used by Cooperative Extension personnel for delivery of programs in the natural setting. In these interventions using multiple educators and/or non-experts, a measure of implementation (fidelity of implementation) is necessary to determine if delivery of the instructional program is as it was designed to be. The objective of this paper is to report the fidelity of implementation (FOI) of iGrow Readers (a literacy-based curriculum that uses children’s books focusing on themes of healthy nutrition and physical activity behaviors) that was delivered by Extension personnel to preschool children in the natural setting of 14 childcare centers through TTT approach. Structural and instructional FOI were assessed by a trained Extension associate. Assessing the FOI of the curriculum delivered by TTT approach provides evidence that the TTT approach is a feasible method of delivery for programing provided by Extension personnel in the natural settings.

Because diet quality (DQ) is associated with risk of chronic disease and is a common construct assessed in health-related research, validated tools to assess DQ are needed that have low respondent and researcher burden. Thus, content experts develop the Short Healthy Eating Index (sHEI) tool and an associated scoring system. The sHEI scoring system was then refined using a classification and regression tree (CRT) algorithm methodology with an iterative feedback process with expert review and input. The sHEI scoring system was then validated using a concurrent criterion validation process that included the sHEI DQ scores (calculated from responses from 50 participants) being compared to the participants’ Healthy Eating Index scores derived from 24 h recalls. The total HEI score from the CRT algorithm highly correlated with the 24 h recall HEI score (0.79). For individual food group items, the correlation between the CRT algorithm scoring and the 24 h recall data scoring ranged from 0.44 for refined grains to 0.64 for whole fruits. The sHEI appears to be a valid tool for estimating overall dietary quality and individual items (with correlations > 0.49) for fruits, vegetables, dairy, added sugar, sugar from sugar-sweetened beverages, and calcium.

Refugee-specific nutrition and cooking curricula addressing dietary acculturation barriers to food security are limited. A cooking curriculum was culturally adapted for Burundian and Congolese refugees to address their unique dietary acculturation experiences. A four-phase curriculum adaptation process (information gathering [literature review, researcher informed, and formative interviews; n = 18], preliminary adaptation design [data incorporation and steering committee; n = 5], pilot testing [n = 10 youth/adult dyads], and refinement) was applied to the existing evidence-based iCook 4-H curriculum using a five-strategy (peripheral, evidential, linguistic, constituent-involving, and sociocultural) cultural adaptation framework. A multiphase, two-cycle coding analytic process was completed within NVivo 12, followed by direct content analysis. Seventeen adaptations were made to the iCook curriculum, derived from varying combinations of four data sources (literature review, researcher informed, priority population, and steering committee), applying all five cultural adaptation strategies. A majority of the curriculum adaptations were derived from two or more data sources (71%) and were categorized within multiple adaptation strategies (88%). This study provided a community-based cultural adaptation process that could be used with various populations to address unique barriers and facilitators to food security. This innovative model addresses cultural needs while simultaneously aiming to improve health habits of refugee communities.

Background: There is a need for improving long-term success in meal replacement programs and identifying the variables that affect weight loss and maintenance in a proprietary weight loss program that includes health coaching. Objective: The aim of this study is to evaluate weight-related eating behaviors of participants with clinically significant weight loss (CSWL) in a proprietary weight loss program. Study Design, Setting, and Participants: A cross-sectional sample of participants (n=1,454) enrolled in a proprietary weight-loss program that includes meal replacements and health coaching were queried via an on-line survey for weight-related eating behaviors and weight history. Main Outcome Measures and Analysis: Weight-related eating behaviors of routine restraint (RR), compensatory restraint (CR), susceptibility to external cues (SEC), and emotional eating (EE) were assessed using the Weight Related Eating Questionnaire. CSWL was defined as having achieved a weight loss greater than 10% of starting weight. Participants were dichotomized into those with CSWL (n=973) and with no CSWL (n=481). The relationship between CSWL (controlling for age and sex) as the dependent variable and weight-related eating behaviors (RR, CR, SEC, and EE) as the independent variables was assessed using logistic regression (Stata/SE 14). Results: Those with CSWL have higher odds of having RR (OR: 1.3, p<0.05) and CR (OR: 1.1, p<0.05) and lower odds of SEC (OR: 0.7, p<0.05) and EE (OR: 0.8, p<0.05) eating behaviors than those without CSWL. Conclusions: Weight-related eating behaviors of participants in proprietary meal replacement weight-loss programs who have successfully lost weight differ compared to those who have not. Knowledge of the relationship between CSWL and weight-related eating behaviors can be used by coaches to assist participants in reinforcing those behaviors that support weight-loss. These results are limited to participants who self-select for proprietary meal-replacement weight-loss programs and cannot be generalized to other weight-loss or maintenance programs.