The Mastery Matrix for Integration Praxis: The development of a rubric for integration practice in addressing weight-related public health problems.

In response to the limitations of siloed weight-related intervention approaches, scholars have called for greater integration that is intentional, strategic, and thoughtful between researchers, health care clinicians, community members, and policy makers as a way to more effectively address weight and weight-related (e.g., obesity, diabetes, cardiovascular disease, cancer) public health problems. The Mastery Matrix for Integration Praxis was developed by the Healthy Eating and Activity across the Lifespan (HEAL) team in 2017 to advance the science and praxis of integration across the domains of research, clinical practice, community, and policy to address weight-related public health problems. Integrator functions were identified and developmental stages were created to generate a rubric for measuring mastery of integration. Creating a means to systematically define and evaluate integration praxis and expertise will allow for more individuals and teams to master integration in order to work towards promoting a culture of health.

Refining and implementing the Food Assortment Scoring Tool (FAST) in food pantries.

OBJECTIVE: Hunger relief agencies have a limited capacity to monitor the nutritional quality of their food. Validated measures of food environments, such as the Healthy Eating Index-2010 (HEI-2010), are challenging to use due to their time intensity and requirement for precise nutrient information. A previous study used out-of-sample predictions to demonstrate that an alternative measure correlated well with the HEI-2010. The present study revised the Food Assortment Scoring Tool (FAST) to facilitate implementation and tested the tool's performance in a real-world food pantry setting. DESIGN: We developed a FAST measure with thirteen scored categories and thirty-one sub-categories. FAST scores were generated by sorting and weighing foods in categories, multiplying each category's weight share by a healthfulness parameter and summing the categories (range 0-100). FAST was implemented by recording all food products moved over five days. Researchers collected FAST and HEI-2010 scores for food availability and foods selected by clients, to calculate correlations. SETTING: Five food pantries in greater Minneapolis/St. Paul, Minnesota, USA. SUBJECTS: Food carts of sixty food pantry clients. RESULTS: The thirteen-category FAST correlated well with the HEI-2010 in prediction models (r = 0·68). FAST scores averaged 61·5 for food products moved, 63·8 for availability and 62·5 for client carts. As implemented in the real world, FAST demonstrated good correlation with the HEI-2010 (r = 0·66). CONCLUSIONS: The FAST is a flexible, valid tool to monitor the nutritional quality of food in pantries. Future studies are needed to test its use in monitoring improvements in food pantry nutritional quality over time.

Using Obesity Research to Shape Obesity Policy in Minnesota: Stakeholder Insights and Feasibility of Recommendations.

OBJECTIVE: Preventing childhood obesity requires innovative, evidence-based policy approaches. This study examines the use of research evidence by obesity policy stakeholders in Minnesota and develops pilot tools for communicating timely evidence to policymakers. DESIGN, SETTING, AND PARTICIPANTS: From November 2012 to January 2013, semistructured interviews were conducted with 51 Minnesota stakeholders in childhood obesity prevention. Interviewees included 16 state legislators and staff; 16 personnel from the Minnesota Department of Education, Minnesota Department of Health, and Minnesota Department of Transportation; and 19 advocates for and against childhood obesity prevention legislation (response rate = 71%). MAIN OUTCOME MEASURES: Participants were asked their views on 3 themes: (1) Whether and how they used research evidence in their current decision-making processes; (2) barriers to using research evidence for policymaking; and (3) suggestions for improving the evidence translation process. All interviews were audio-recorded and transcribed. A team approach to qualitative analysis was used to summarize themes, compare findings across interviewees' professional roles, and highlight unexpected findings, areas of tension, or illuminating quotes. RESULTS: Stakeholders used research evidence to support policy decisions, educate the public, and overcome value-based arguments. Common challenges included the amount and complexity of research produced and limited relationships between researchers and decision makers. Responding to interviewee recommendations, we developed and assessed 2 pilot tools: a directory of research experts and a series of research webinars on topics related to childhood obesity. Stakeholders found these materials relevant and high-quality but expressed uncertainty about using them in making policy decisions. CONCLUSIONS: Stakeholders believe that research evidence should inform the design of programs and policies for childhood obesity prevention; however, many lack the time and resources to consult research consistently. Future efforts to facilitate evidence-informed policymaking should emphasize approaches to designing and presenting research that better meets the needs of policy and programmatic decision makers.

Evidence-based policies on school nutrition and physical education: Associations with state-level collaboration, obesity, and socio-economic indicators.

Despite calls for more cross-sector collaboration on obesity prevention, little is known about the role of collaborative partnerships, or groups of organizations from different sectors working together toward a shared goal, in state policy activities. This study examined associations between competitive food/beverage and physical education policies and state-level collaboration and state characteristics (obesity, socioeconomic indicators, public health funding levels) for all 50 states and the District of Columbia, USA, in 2012. We examined cross-sectional associations between evidence-based competitive food/beverage and physical education policies from the Classification of Laws Associated with School Students and state characteristics from the School Health Policies and Practices Study and other national data sources using prevalence ratios and generalized linear models. Analyses were conducted in 2016. Cross-sector collaboration (i.e., state staff reports of working together on school nutrition or physical education activities) between state-level nutrition and physical education staff and ten types of organizations was not significantly associated with having state policies. Childhood obesity (RR=1.78, 95% CI[1.11,2.85]), high-school non-completion (RR=2.35, 95% CI[1.36,4.06]), poverty (RR=1.89, 95% CI[1.16,3.09]) and proportion non-white or Hispanic residents (RR=1.75, 95% CI[1.07, 2.85]) were positively associated with the presence of elementary school competitive food/beverage policies. Fewer indicators were associated with policies for middle and high schools. The large investment of time and resources required for cross-sector collaboration demands greater research evidence on how to structure and manage collaborative partnerships for the greatest impact.

Healthy Eating and Activity Across the Lifespan (HEAL): A call to action to integrate research, clinical practice, policy, and community resources to address weight-related health disparities.

Despite intense nationwide efforts to improve healthy eating and physical activity across the lifespan, progress has plateaued. Moreover, health inequities remain. Frameworks that integrate research, clinical practice, policy, and community resources to address weight-related behaviors are needed. Implementation and evaluation of integration efforts also remain a challenge. The purpose of this paper is to: (1) Describe the planning and development process of an integrator entity, HEAL (Healthy Eating and Activity across the Lifespan); (2) present outcomes of the HEAL development process including the HEAL vision, mission, and values statements; (3) define the planned integrator functions of HEAL; and (4) describe the ongoing evaluation of the integration process. HEAL team members used a theoretically-driven, evidence-based, systemic, twelve-month planning process to guide the development of HEAL and to lay the foundation for short- and long-term integration initiatives. Key development activities included a review of the literature and case studies, identifying guiding principles and infrastructure needs, conducting stakeholder/key informant interviews, and continuous capacity building among team members. Outcomes/deliverables of the first year of HEAL included a mission, vision, and values statements; definitions of integration and integrator functions and roles; a set of long-range plans; and an integration evaluation plan. Application of the HEAL integration model is currently underway through community solicited initiatives. Overall, HEAL aims to lead real world integrative work that coalesce across research, clinical practice, and policy with community resources to inspire a culture of health equity aimed at improving healthy eating and physical activity across the lifespan.

Increasing Social Support for Breakfast: Project BreakFAST.

High school students in the United States are known to be frequent skippers of breakfast. Social support is one key element needed to encourage adolescents to consume school breakfast. This article presents an analysis of the influence of a school policy and environment change intervention on the social support of adolescents to eat breakfast. METHOD: The intervention included school policy changes in 16 schools randomized to intervention and delayed-intervention conditions, in order to allow quick and easy access to breakfast as well as to allow breakfast consumption in classrooms and hallways; a School Breakfast Program marketing campaign to address normative and attitudinal beliefs; and increasing social support and role modeling to encourage breakfast eating. The participants in the study completed an online survey at baseline and again postintervention. RESULTS: The final analysis included only students who completed the relevant survey (n = 904) items on both the baseline and follow-up surveys. The students in the intervention group showed a higher level of social support post intervention than the control group with a significant adjusted p of .02. Most of the overall social support change was explained by a change in the "other kids at my school" and "other school staff" categories. CONCLUSIONS: The BreakFAST study shows the benefits of school staff and kids other than friends supporting a behavior change to include breakfast consumption in adolescents.

Results of a 2-year randomized, controlled obesity prevention trial: Effects on diet, activity and sleep behaviors in an at-risk young adult population.

Excess weight gain tends to occur in young adulthood. However, research examining effective weight-related interventions for this age group has been limited. As one of seven trials in the EARLY Trials consortium (Early Adult Reduction of weight through LifestYle intervention), the CHOICES Study (Choosing Healthy Options in College Environments and Settings) tested effects of a technology-integrated, young adult weight gain prevention intervention. It was a randomized controlled trial with assessments at baseline (2011) and 4-, 12- and 24-months post-intervention initiation and included 441 participants (ages 18-35) who were students at three Minnesota community colleges. The 24-month intervention included a 1-credit academic course and social networking and support online intervention. This analysis examined effects on 12 secondary behavioral outcomes across three domains: diet (fast food, sugary beverages, breakfast, at-home meal preparation), physical activity/screen time (minutes and energy expenditure in leisure time physical activity, television viewing, leisure time computer use) and sleep (hours of sleep, time required to fall asleep, days not getting enough rest, difficulty staying awake). The intervention resulted in significant reductions in fast food (p=0.007) but increases in difficulty staying awake (p=0.015). There was limited evidence of other behavior changes at 4months (0.05

Recruiting and retaining young adults in a weight gain prevention trial: Lessons learned from the CHOICES study.

BACKGROUND/AIMS: Young adults are at risk of weight gain, but little is known about designing effective weight control trials for young adults or how to recruit and retain participants in these programs. The Choosing Healthy Options in College Environments and Settings (CHOICES) study evaluated the effectiveness of a weight gain prevention intervention for 2-year college students. We describe the methods used to recruit and retain the colleges and their students, describe the sample and discuss recommendations for future studies. METHODS: Students were recruited into a 24-month trial of a weight control intervention with assessment periods at baseline, 4-, 12- and 24-month follow-up. RESULTS: We successfully recruited 441 students through partnerships with three 2-year colleges through a variety of campus-based methods. Ultimately, 83.4% of the randomized cohort participated in the 24-month assessment period. Those retained more often were White (p = 0.03) compared to those who dropped out or were lost to follow-up; no other socio-demographic factor (e.g. gender, ethnicity and education), body mass index, body fat, waist circumference or weight status was observed to differ between randomly assigned groups. CONCLUSION: Two-year colleges and their students are interested in participating in weight-related trials and partnering with universities for research. Researchers must work closely with administrators to identify benefits to their institutions and to resolve student-level barriers to recruitment and retention. Our experiences from the Choosing Healthy Options in College Environments and Settings study should be useful in identifying effective recruitment and retention methods for weight gain prevention trials among young adults.

Eating breakfast together as a family: mealtime experiences and associations with dietary intake among adolescents in rural Minnesota, USA.

OBJECTIVE: Although existing evidence links breakfast frequency to better dietary quality, little is known specifically in regard to the benefits associated with eating breakfast together with one's family. The present study describes the prevalence and experience of having family meals at breakfast among rural families and examines associations between meal frequency and adolescent diet quality. DESIGN: Data were drawn from Project BreakFAST, a group-randomized trial aimed at increasing school breakfast participation in rural Minnesota high schools, USA. Linear mixed models were used to examine associations between student reports of family breakfast frequency and Healthy Eating Index 2010 (HEI-2010) scores while accounting for clustering within schools, demographics and household food security. SETTING: Adolescent students from sixteen schools completed online surveys, height and weight measurements, and dietary recalls at baseline in 2012-2014. SUBJECTS: The sample included 827 adolescents (55·1 % girls) in grades 9-10 who reported eating breakfast on at most three days per school week. RESULTS: On average, adolescents reported eating breakfast with their family 1·3 (sd 1·9) times in the past week. Family breakfast meals occurred most frequently in the homes of adolescents who reported a race other than white (P=0·002) or Hispanic ethnicity (P=0·02). Family breakfast frequency was directly associated with adolescent involvement in preparing breakfast meals (P<0·001) and positive attitudes (P≤0·01) about mealtime importance, interactions and structure. Family breakfast frequency was unrelated to most diet quality markers. CONCLUSIONS: Family meals may be one important context of opportunity for promoting healthy food patterns at breakfast. Additional research is needed to better inform and evaluate strategies.

District wellness policies and school-level practices in Minnesota, USA.

OBJECTIVE: To compare the strength of district wellness policies with corresponding school-level practices reported by principals and teachers. DESIGN: District-level wellness policy data were collected from school district websites and, if not available online, by requests made to district administrators in the autumn of 2013. The strength of district policies was scored using the Wellness School Assessment Tool. School-level data were drawn from the 2012 Minnesota School Health Profiles principal and teacher surveys and the National Center for Education Statistics Common Core Data. Generalized estimating equations which accounted for school-level demographics and the nesting of up to two schools within some districts were used to examine ten district policy items and fourteen school-level practices of relevance to nutrition standards, nutrition education and wellness promotion, and physical activity promotion. SETTING: State-wide sample of 180 districts and 212 public schools in Minnesota, USA. RESULTS: The mean number of energy-dense, nutrient-poor snack foods and beverages available for students to purchase at school was inversely related to the strength of district wellness policies regulating vending machines and school stores (P=0·01). The proportion of schools having a joint use agreement for shared use of physical activity facilities was inversely related to the strength of district policies addressing community use of school facilities (P=0·03). No associations were found between the strength of other district policies and school-level practices. CONCLUSIONS: Nutrition educators and other health professionals should assist schools in periodically assessing their wellness practices to ensure compliance with district wellness policies and environments supportive of healthy behaviours.

Application of the Healthy Eating Index-2010 to the hunger relief system.

OBJECTIVE: To demonstrate the feasibility of applying the Healthy Eating Index-2010 (HEI-2010) to the hunger relief setting, specifically by assessing the nutritional quality of foods ordered by food shelves (front-line food provider) from food banks (warehouse of foods). DESIGN: This Healthy FOOD (Feedback On Ordering Decisions) observational study used electronic invoices detailing orders made by 269 food shelves in 2013 and analysed in 2015 from two large Minnesota, USA food banks to generate HEI-2010 scores. Initial development and processing procedures are described. RESULTS: The average total HEI-2010 score for the 269 food shelves was 62·7 out of 100 with a range from 28 to 82. Mean component scores for total protein foods, total vegetables, fatty acids, and seafood and plant proteins were the highest. Mean component score for whole grains was the lowest followed by dairy, total fruits, refined grains and sodium. Food shelves located in micropolitan areas and the largest food shelves had the highest HEI-2010 scores. Town/rural and smaller food shelves had the lowest scores. Monthly and seasonal differences in scores were detected. Limitations to this approach are identified. CONCLUSIONS: Calculating HEI-2010 for food shelves using electronic invoice data is novel and feasible, albeit with limitations. HEI-2010 scores for 2013 identify room for improvement in nearly all food shelves, especially the smallest agencies. The utility of providing HEI-2010 scores to decision makers in the hunger relief setting is an issue requiring urgent study.

School district wellness policy quality and weight-related outcomes among high school students in Minnesota.

Weight-related outcomes were examined among high school students in Minnesota public school districts according to the quality of district wellness policies. Wellness policy strength and comprehensiveness were scored using the Wellness School Assessment Tool (WellSAT) for 325 Minnesota public school districts in 2013. The associations between WellSAT scores and district-level means of high school student responses to a statewide survey of health behaviors were examined in this ecologic study. WellSAT Total Strength and Total Comprehensiveness scores were positively associated with both student mean Body Mass Index (BMI) percentile (Strength: P = 0.018, Comprehensiveness: P = 0.031) and mean percent overweight or obese (Strength: P = 0.008, Comprehensiveness: P = 0.026), but only in districts with > 50% of students eligible for Free or Reduced-Price Lunches (FRPLs), or 'high FRPL districts'. WellSAT Physical Education and Physical Activity subscale scores were also positively associated with the mean days per week students engaged in physical activity for ≥ 60 min in high FRPL districts (Strength: P = 0.008, Comprehensiveness: P = 0.003) and in low FRPL districts (< 35% eligible) for Strength score: (P = 0.027). In medium FRPL districts (35-50% eligible), Nutrition Education and Wellness Promotion Strength and Comprehensiveness subscale scores were positively associated with, respectively, daily servings of vegetables (P = 0.037) and fruit (P = 0.027); and WellSAT Total scores were positively associated with daily vegetable servings (Strength: P = 0.037, Comprehensiveness: P = 0.012). Administrators of economically disadvantaged school districts with a higher percentage of overweight students may be recognizing the need for stronger wellness policies and the specific importance of implementing policies pertaining to physical activity as a means to improve student health.

State-Level Trends and Correlates for Cross-Sector Collaboration on School Nutrition and Physical Education Activities, 2000-2012.

INTRODUCTION: Cross-sector collaboration on child obesity prevention is common, yet little research has examined the context of collaboration at the state level. This study describes secular trends in collaboration between state agency staff responsible for school nutrition and physical education activities and other organizations from 2000 to 2012. METHODS: Data from the School Health Policies and Practices Study were used to describe collaboration between state agency staff and 13 types of public, private, and nonprofit organizations. Breadth of collaboration in 2012 was examined across political, social, and economic conditions. RESULTS: Collaboration between state agency staff and other organization types increased from 2000 to 2006 and decreased or stabilized from 2006 to 2012. Breadth of collaboration was greater in states with a physical education coordinator, higher levels of poverty, higher prevalence of childhood obesity, and more public health funding. Breadth was similar across states by census region, political party of governor, majority party in state legislature, percentage non-Hispanic white population, high school graduation rate, and unemployment rate. CONCLUSION: Cross-sector collaboration on school nutrition and physical education was widespread and did not vary substantially across most political, social, and economic measures. Expanded monitoring and surveillance of state-level collaboration would assist efforts to understand how state agencies work across sectors and whether this collaboration affects the support they provide to schools.

A 2-year young adult obesity prevention trial in the US: Process evaluation results.

Our objective was to conduct a process evaluation of the CHOICES (Choosing Healthy Options in College Environments and Settings) study, a large, randomized, controlled trial designed to prevent unhealthy weight gain in young adults (aged 18-35) attending 2-year community colleges in the USA. The 24-month intervention consisted of participation in an academic course and a social networking and support website. Among intervention participants, completion rates for most course activities were >80%, reflecting a high level of dose received. Course retention and participant satisfaction were also high. Engagement results, however, were mixed with less than half of participants in the online and hybrid sections of the course reporting that they interacted with course materials ≥3 h/week, but 50-75% reporting that they completed required lessons 'all/very thoroughly'. Engagement in the website activities was also mixed with more than half of intervention participants logging onto the website during the first month, but then declining to 25-40% during the following 23 months of the intervention. Intervention engagement is a challenge of online interventions and a challenge of working with the young adult age group in general. Additional research is needed to explore strategies to support engagement among this population, particularly for relatively long intervention durations.

Association Between Student Body Mass Index and Access to Sports Drinks in Minnesota Secondary Schools, 2012-2013.

This ecologic study evaluated the association between school policy allowing students to purchase sports drinks from school vending machines and school stores and student body mass index (BMI). Data were from surveillance surveys of Minnesota secondary schools (n = 238) and students (n = 59,617), administered in 2012 and 2013, respectively. We used generalized linear models to assess the association between policies and mean age- and sex-adjusted BMI percentile. In adjusted multivariate analysis, school policy was positively associated with BMI percentile (P = .005). School policy restricting student access to sports drinks at school may contribute to decreasing consumption of sport drinks among school-aged youth and improving student weight outcomes in this population.

Use of research evidence in state policymaking for childhood obesity prevention in Minnesota.

OBJECTIVES: We describe how scientific evidence about obesity has been used in Minnesota legislative materials to understand how research evidence might more effectively be translated into policymaking. METHODS: We selected 13 obesity-related bills introduced from 2007 to 2011 in Minnesota. Using state archives, we collected all legislative committee meeting materials and floor testimony related to each bill. We used a coding instrument to systematically analyze the content of a sample of 109 materials for their use of research evidence and non-research-based information. RESULTS: Research evidence was mentioned in 41% of all legislative materials. Evidence was often used to describe the prevalence or consequences of obesity or policy impacts but not to describe health disparities. In 45% of materials that cited evidence, no source of evidence was indicated. By contrast, 92% of materials presented non-research-based information, such as expert beliefs, constituent opinion, political principles, and anecdotes. CONCLUSIONS: Despite an abundance of available research evidence on obesity, less than half of legislative materials cited any such evidence in discussions around obesity-related bills under consideration in Minnesota.

Recommended school policies are associated with student sugary drink and fruit and vegetable intake.

OBJECTIVE: To examine the association between 8 recommended school obesity-related policies and student behaviors and weight in a cohort of Minnesota schools. METHOD: Existing surveillance surveys were used to examine the relationship between school policies to promote healthy eating and physical activity and student weight, diet, and activity behaviors from 2002 to 2006 among students (n=18,881) in a cohort of 37 Minnesota junior-senior high and high schools using fixed effects linear regression models. RESULTS: Each additional recommended policy was associated with a significant decrease in consumption of sugary drinks and an increase in consumption of fruits and vegetables. There were no associations with weekly hours of sedentary activities, days per week of vigorous activity, or body mass index percentile. CONCLUSION: Students attending schools that added recommended policies to promote healthy eating showed improved dietary behaviors, independent of secular trends compared with students in schools that did not add recommended policies.

Evaluating school obesity-related policies using surveillance tools: lessons from the ScOPE study.

The evidence evaluating the association between school obestiy prevention policies and student weight is mixed. The lack of consistent findings may result, in part, from limited evaluation approaches. The goal of this article is to demonstrate the use of surveillance data to address methodological gaps and opportunities in the school policy evaluation literature using lessons from the School Obesity-Related Policy Evaluation (ScOPE) study. The ScOPE study uses a repeated, cross-sectional study design to evaluate the association between school food and activity policies in Minnesota and behavioral and weight status of youth attending those schools. Three surveillance tools are used to accomplish study goals: Minnesota School Health Profiles (2002-2012), Minnesota Student Survey (2001-2013), and National Center for Educational Statistics. The ScOPE study takes two broad steps. First, we assemble policy data across multiple years and monitor changes over time in school characteristics and the survey instrument(s), establish external validity, and describe trends and patterns in the distribution of policies. Second, we link policy data to student data on health behaviors and weight status, assess nonresponse bias, and identify cohorts of schools. To illustrate the potential for program evaluators, the process, challenges encountered, and solutions used in the ScOPE study are presented.

Exploring implementation of the 2010 Institute of Medicine's Child and Adult Food Care Program recommendations for after-school snacks.

OBJECTIVE: The aim of the present study was to explore the implementation of nutrition recommendations made in the 2010 Institute of Medicine (IOM) report, Child and Adult Care Food Program: Aligning Dietary Guidance for All, in school-based after-school snack programmes. DESIGN: A descriptive study. SETTING: One large suburban school district in Minneapolis, Minnesota, USA. SUBJECTS: None. RESULTS: Major challenges to implementation included limited access to product labelling and specifications inconsistent with the IOM's Child and Adult Care Food Program (CACFP) recommendations, limited access to healthier foods due to current school district buying consortium agreement, and increased costs of wholegrain and lower-sodium foods and pre-packaged fruits and vegetables. CONCLUSIONS: Opportunities for government and industry policy development and partnerships to support schools in their efforts to promote healthy after-school food environments remain. Several federal, state and industry leadership opportunities are proposed: provide product labelling that makes identifying snacks which comply with the 2010 IOM CACFP recommended standards easy; encourage compliance with recommendations by providing incentives to programmes; prioritize the implementation of paperwork and technology that simplifies enrollment and accountability systems; and provide support for food safety training and/or certification for non-food service personnel.

Physical activity among postpartum adolescents: a preliminary report.

The purpose of this study was to examine the levels and correlates of physical activity among a sample of overweight postpartum adolescents. Postpartum adolescents were recruited from a university-based teen mother program and local school districts. Adolescents (N = 21) aged 16 to 19 years, with a child between 6 and 12 months of age, volunteered. Participants wore a pedometer and reported their physical activity for seven consecutive days. Descriptive statistics and relationships between steps/day and self-reported physical activity, demographic, and psychosocial characteristics were calculated. Results indicated that participants were insufficiently active. Self-reported walking and pre-pregnancy BMI were moderately associated with steps/day. The findings of this preliminary study suggest that these postpartum adolescents were insufficiently active to attain substantial health benefits from physical activity. Postpartum adolescents represent an understudied population that may need to be a priority population for physical activity interventions.