Translating the Recommended Multicomponent Intervention for Childhood Overweight and Obesity into Practice: Implementation Challenges.

A multicomponent, family-based intervention with ≥ 26 contact hours is recommended for the treatment of childhood overweight and obesity. This intervention utilizes behavioral strategies to improve diet, physical activity, and sedentary behaviors. The evidence-based recommendations for this treatment have predominantly come from randomized trials in which the intervention is implemented by research-trained staff in academic research settings, with the intervention delivered to fairly homogeneous samples that are limited in being inclusive of those experiencing health disparities. Thus, there are challenges in implementing the recommended intervention into practice. In particular, there are implementation challenges related to providers, contact time, and settings that impact all children. Specifically, the structure of the intervention may diminish its ability to be delivered by many types of providers in different settings, limiting overall accessibility. There are implementation challenges affecting children who experience health disparities, as it is not clear how efficacious the recommended intervention is for African American or Latinx children, or children from households with low income. Several strategies to reduce identified implementation challenges, such as reducing contact time and intensity of the dietary intervention, are discussed. However, use of these strategies may reduce the effect size of the weight improvements commonly seen with the recommended intervention. Suggestions for future research regarding implementation, specifically using study designs that enhance the ability to create cost-efficient and adaptive interventions that can generalize to many different children and families, are provided.

The role of structure in dietary approaches for the treatment of pediatric overweight and obesity: A critical review.

A multicomponent approach for the treatment of pediatric overweight/obesity, which includes behavioral strategies to alter diet and physical activity/sedentary behavior, has graded recommendations for its use. Dietary interventions to be used within this approach do not. In adults, research indicates that strongly graded dietary interventions providing greater structure (or more control over the types/amount of food consumed) produce better weight outcomes. For this critical review, dietary interventions recommended by the Expert Committee for the treatment of pediatric overweight/obesity were categorized according to their potential degree of dietary structure, and their impact on weight outcomes was described. Four levels of dietary structure were reviewed, operationalized as alterations to the following: food groups, such as fruits and vegetables (low structure); daily eating occasions, such as meals (moderate structure); large nutrients, such as energy (high structure); and energy plus additional dietary alterations (very high structure). In total, 24 interventions (four low, three moderate, five high, and 12 very high structure structure) were identified and reviewed. Reductions in standardized body mass index increased with increasing structure, and interventions ≥6 months had better outcomes than interventions <6 months. Future research should empirically test dietary intervention structure to determine its impact on weight status during pediatric overweight/obesity treatment.

Asthma status moderates the relationship between neighbourhood disadvantage and obesity in African American adolescent females.

INTRODUCTION: Significant health disparities exist in asthma and obesity for African American youths. Successful interventions present an opportunity to address these disparities but require detailed study in order to ensure generalizability. This study investigated the intersection of obesity, neighbourhood disadvantage, and asthma. METHODS: Data were extracted from 129 African American females ages 13 to 19 years (mean = 15.6 years [SD = 1.9]). Obesity was measured via body mass index (BMI). Asthma status was based on clinical diagnosis and/or results of the International Study of Asthma and Allergies during Childhood (ISAAC) questionnaire. The concentrated disadvantage index (CDI) assessed neighbourhood disadvantage. RESULTS: Findings showed that 21.5% (n = 28) of participants were clinically defined as having asthma, 76.2% (n = 99) had obesity, and 24.9% (n = 31) were classified without obesity. The mean BMI was 35.1 (SD = 9.1) and the mean CDI was 1.0 (SD = 0.9). CDI and obesity were significantly associated in participants without asthma, but not in those with asthma. Multivariable linear regression results showed a significant interaction between CDI and asthma (t value = 2.2, P = .03). CONCLUSION: In sum, results from this study found that asthma moderated the relationship between neighbourhood disadvantage and obesity.

A Reliable, Feasible Method to Observe Neighborhoods at High Spatial Resolution.

INTRODUCTION: Systematic social observation (SSO) methods traditionally measure neighborhoods at street level and have been performed reliably using virtual applications to increase feasibility. Research indicates that collection at even higher spatial resolution may better elucidate the health impact of neighborhood factors, but whether virtual applications can reliably capture social determinants of health at the smallest geographic resolution (parcel level) remains uncertain. This paper presents a novel, parcel-level SSO methodology and assesses whether this new method can be collected reliably using Google Street View and is feasible. METHODS: Multiple raters (N=5) observed 42 neighborhoods. In 2016, inter-rater reliability (observed agreement and kappa coefficient) was compared for four SSO methods: (1) street-level in person; (2) street-level virtual; (3) parcel-level in person; and (4) parcel-level virtual. Intra-rater reliability (observed agreement and kappa coefficient) was calculated to determine whether parcel-level methods produce results comparable to traditional street-level observation. RESULTS: Substantial levels of inter-rater agreement were documented across all four methods; all methods had >70% of items with at least substantial agreement. Only physical decay showed higher levels of agreement (83% of items with >75% agreement) for direct versus virtual rating source. Intra-rater agreement comparing street- versus parcel-level methods resulted in observed agreement >75% for all but one item (90%). CONCLUSIONS: Results support the use of Google Street View as a reliable, feasible tool for performing SSO at the smallest geographic resolution. Validation of a new parcel-level method collected virtually may improve the assessment of social determinants contributing to disparities in health behaviors and outcomes.