Characterization of a Regional Childhood Obesity Prevention and Treatment System.

This project characterized the system of childhood obesity-related programs and functions based on a socioecological framework within the Kansas City region to determine strengths, weaknesses, and leverage points for informing collective impact. A mixed-method approach was employed to identify and collect data ∼260 childhood obesity-related programs provided by 89 organizations. Findings indicated no major gaps in population or location served although few programs specifically focused on service to minority groups or neighborhoods. The region has many programs working within the system, yet the distribution of programs does not occur as expected throughout the dimensions of a standard socioecological model or community health system. In addition, several organizations perform certain leadership functions such as coordination, resource allocation, or monitoring, but none perform all, indicating the lack of a traditional "backbone" organization. These findings demonstrate how a region's childhood obesity prevention and treatment programs can be evaluated using a socioecological framework.

Investigating associations between physical activity-related neighborhood built environment features and child weight status to inform local practice.

Despite evidence of the importance of neighborhood built environment features in relation to physical activity and obesity, research has been limited in informing localized practice due to small sample sizes and limited geographic coverage. This demonstration study integrated data from a local pediatric health system with nationally available neighborhood built environment data to inform local decision making around neighborhood environments and childhood obesity. Height/weight from clinic visits and home neighborhood measures from the U.S. Environmental Protections Agency and WalkScore were obtained for 15,989 6-17 year olds. Multilevel models accounted for the nested data structure and were adjusted for neighborhood income and child sociodemographics. In 9-17 year olds, greater street connectivity and walkability were associated with a 0.01-0.04 lower BMIz (Ps = .009-.017) and greater residential density, street connectivity, and walkability were associated 5-7% lower odds of being overweight/obese (Ps = .004-.044) per standard deviation increase in environment variable. 45.9% of children in the lowest walkability tertile were overweight or obese, whereas 43.1% of children in the highest walkability tertile were overweight or obese. Maps revealed areas with low walkability and a high income-adjusted percent of children overweight/obese. In the Kansas City area, data showed that fewer children were overweight/obese in more walkable neighborhoods. Integrating electronic health records with neighborhood environment data is a replicable process that can inform local practice by highlighting the importance of neighborhood environment features locally and pointing to areas most in need of interventions.

Adherence With Multiple National Healthy Lifestyle Recommendations in a Large Pediatric Center Electronic Health Record and Reduced Risk of Obesity.

OBJECTIVE: To evaluate the utility of a routine assessment of lifestyle behaviors incorporated into the electronic health record (EHR) to quantify lifestyle practices and obesity risk at a pediatric primary care center. PATIENTS AND METHODS: Participants included 24,255 patients aged 2 to 18 years whose parent/caregiver completed a self-report lifestyle assessment during a well-child examination (January 1, 2013, through June 30, 2016). Cross-sectional analyses of age, race/ethnicity, body mass index, and lifestyle assessment responses were performed. Outcome measures included prevalence of patients meeting consensus recommendations for physical activity; screen time; and dairy, water, and fruit/vegetable consumption and the odds of obesity based on reported lifestyle behaviors. RESULTS: Prevalence of meeting recommendations for lifestyle behaviors was highest for physical activity (84%), followed by screen time (61%) and consumption of water (51%), dairy (27%), and fruits/vegetables (10%). Insufficient physical activity was the strongest predictor of obesity (odds ratio [OR], 1.65; 95% CI, 1.51-1.79), followed by excess screen time (OR, 1.36; 95% CI, 1.27-1.45). Disparities existed across ages, races/ethnicities, and sexes for multiple lifestyle habits. Youth who met 0 or 1 lifestyle recommendation were 1.45 to 1.71 times more likely to have obesity than those meeting all 5 recommendations. CONCLUSION: Healthy behaviors vary in prevalence, as does their association with obesity. This variation is partially explained by age, sex, and race/ethnicity. Meeting national recommendations for specific behaviors is negatively associated with obesity in a dose-dependent manner. These findings support the assessment of lifestyle behaviors in primary care as one component of multilevel initiatives to prevent childhood obesity.

Evaluation of the Healthy Lifestyles Initiative for Improving Community Capacity for Childhood Obesity Prevention.

PURPOSE AND OBJECTIVES: Policy, systems, and environmental approaches are recommended for preventing childhood obesity. The objective of our study was to evaluate the Healthy Lifestyles Initiative, which aimed to strengthen community capacity for policy, systems, and environmental approaches to healthy eating and active living among children and families. INTERVENTION APPROACH: The Healthy Lifestyles Initiative was developed through a collaborative process and facilitated by community organizers at a local children's hospital. The initiative supported 218 partners from 170 community organizations through training, action planning, coalition support, one-on-one support, and the dissemination of materials and sharing of resources. EVALUATION METHODS: Eighty initiative partners completed a brief online survey on implementation strategies engaged in, materials used, and policy, systems, and environmental activities implemented. In accordance with frameworks for implementation science, we assessed associations among the constructs by using linear regression to identify whether and which of the implementation strategies were associated with materials used and implementation of policy, systems, and environmental activities targeted by the initiative. RESULTS: Each implementation strategy was engaged in by 30% to 35% of the 80 survey respondents. The most frequently used materials were educational handouts (76.3%) and posters (66.3%). The most frequently implemented activities were developing or continuing partnerships (57.5%) and reviewing organizational wellness policies (46.3%). Completing an action plan and the number of implementation strategies engaged in were positively associated with implementation of targeted activities (action plan, effect size = 0.82; number of strategies, effect size = 0.51) and materials use (action plan, effect size = 0.59; number of strategies, effect size = 0.52). Materials use was positively associated with implementation of targeted activities (effect size = 0.35). IMPLICATIONS FOR PUBLIC HEALTH: Community-capacity-building efforts can be effective in supporting community organizations to engage in policy, systems, and environmental activities for healthy eating and active living. Multiple implementation strategies are likely needed, particularly strategies that involve a high level of engagement, such as training community organizations and working with them on structured action plans.

Implementation contextual factors related to youth advocacy for healthy eating and active living.

Healthy eating and active living are critical to youth health and development. Youth advocacy can improve health-related behaviors and environments by empowering youth to act as change agents in their community. This mixed-method study examined implementation contextual factors in relation to implementation success in high school youth advocacy projects targeting healthy eating and active living. Semi-structured interviews were conducted with key informants from each of the 21 participating youth groups. Interviews gathered information on implementation processes, barriers and facilitators, and Implementation Outcomes (Progress, Penetration, Health Impact, Sustainability, and an overall Implementation Success Composite). Interview responses were coded using the Consolidated Framework for Implementation Research (CFIR). Each identified construct was rated for its impact on implementation and ratings were tested for their association with the Implementation Outcomes. Cosmopolitanism (leveraging connections within the community; rated in 20 groups) and Internal Intervention Source (rated in 9 groups) showed consistent moderate/large associations with the Implementation Outcomes and Implementation Success Composite. Other moderate/large associations were outcome specific, with Student Group Leader Engagement, External Change Agents, and Student and Community Needs and Resources also being associated with the Implementation Success Composite. Implementation contextual factors, particularly community-connectedness, group functioning, and internal project idea development are important factors for implementing youth advocacy projects that will reach large numbers of people and be likely to lead to sustained health improvements. Implementation strategies that target these factors need to be developed and tested in partnership with community organizations to maximize success of youth advocacy efforts.

Implementing 12345 Fit-Tastic: A Tool for Combating Childhood Obesity.

Childhood obesity is epidemic in the United States. School nurses are in a unique position to address weight with the students they serve. This article provides tools for school nurses to be able to conduct an obesity screening, demonstrate the basic skills of motivational interviewing in treatment of obesity in a school age child, and utilize the 12345 Fit-Tastic program in their practice. This article is the seventh and final article in a series on the topic of childhood obesity and the accompanying comorbidities.

Outcomes of a weight management clinic for children with special needs.

OBJECTIVE: Rates of obesity are elevated among children with special needs (e.g., autism spectrum disorder, Down syndrome, or developmental disabilities). The objective of this study was to evaluate the effectiveness of a multidisciplinary tailored intervention to treat obesity among youth with special needs. METHOD: Seventy-six children aged 2 to 19 years participated in a multidisciplinary weight management clinic adapted for children with special needs. A description of the patients presenting for specialized clinical services is provided, and the impact of the intervention on child body mass index (BMI) and food variety was examined for a subset (n = 30) of children. Descriptive statistics of the patient population at baseline were calculated and a series of t tests, correlations, and analysis of variance models examined change in BMI z-scores (BMIz) and diet variety. Factors related to treatment outcomes were also explored. RESULTS: BMIz decreased significantly by the 6-month follow-up (M = 2.43 to M = 2.36, p < .01). There were significant increases in the variety of fruits, vegetables, and grains that children ate (t(16) = 3.18, p < .01; t(16) = 2.63, p = .02; t(16) = 2.37, p = .03, respectively). CONCLUSION: A multidisciplinary clinic-based intervention was effective in reducing BMIz over a 6-month period and increasing the variety of foods that children were eating. These results have implications for providing tailored weight management interventions for youth with obesity and special needs.