Retention, engagement, and binge-eating outcomes: Evaluating feasibility of the Binge-Eating Genetics Initiative study.

OBJECTIVE: Using preliminary data from the Binge-Eating Genetics Initiative (BEGIN), we evaluated the feasibility of delivering an eating disorder digital app, Recovery Record, through smartphone and wearable technology for individuals with binge-type eating disorders. METHODS: Participants (n = 170; 96% female) between 18 and 45 years old with lived experience of binge-eating disorder or bulimia nervosa and current binge-eating episodes were recruited through the Recovery Record app. They were randomized into a Watch (first-generation Apple Watch + iPhone) or iPhone group; they engaged with the app over 30 days and completed baseline and endpoint surveys. Retention, engagement, and associations between severity of illness and engagement were evaluated. RESULTS: Significantly more participants in the Watch group completed the study (p = .045); this group had greater engagement than the iPhone group (p's < .05; pseudo-R2 McFadden effect size = .01-.34). Overall, binge-eating episodes, reported for the previous 28 days, were significantly reduced from baseline (mean = 12.3) to endpoint (mean = 6.4): most participants in the Watch (60%) and iPhone (66%) groups reported reduced binge-eating episodes from baseline to endpoint. There were no significant group differences across measures of binge eating. In the Watch group, participants with fewer episodes of binge eating at baseline were more engaged (p's < .05; pseudo-R2 McFadden  = .01-.02). Engagement did not significantly predict binge eating at endpoint nor change in binge-eating episodes from baseline to endpoint for both the Watch and iPhone groups. DISCUSSION: Using wearable technology alongside iPhones to deliver an eating disorder app may improve study completion and app engagement compared with using iPhones alone.

Promoviendo una Alimentación Saludable (PAS) results: Engaging Latino families in eating disorder treatment.

Latinos/as are underrepresented in eating disorders clinical trials. This study compared results of a culturally adapted individual cognitive-behavioral treatment (CBT) for binge-spectrum eating disorders that included or excluded a family enhanced module (CBT + FE), in a proof-of-principle pilot study with a sample of Latina adults and one family member per patient. Twenty-five patients (Mage = 37 yrs) and 25 family members (Mage = 40 yrs) were randomized to CBT (n = 13) or CBT+ FE (n = 12). DSM-IV eating disorder diagnoses were: 48% (n = 12) bulimia nervosa, 28% (n = 7) binge-eating disorder, and 24% (n = 6) eating disorder not otherwise specified. Effect sizes favored CBT + FE on adherence and retention, and scores on treatment satisfaction and therapeutic alliance were high, indicating treatment acceptability. In spite of the hypothesis that family outcomes such as support, familism, cohesion, pride, family cultural conflict, burden, and marital satisfaction (in couples) would be superior in CBT + FE, the preliminary data were inconclusive and results were mixed. The hypothesis that eating disorder outcomes including global eating psychopathology, binge eating, and purging would improve in CBT + FE was not supported. There was some evidence that patients in CBT improved more particularly on binge eating, otherwise the groups had no differences. In conclusion, the results suggest that CBT + FE could enhance treatment adherence and retention, although this did not automatically translate to better family and symptom outcomes.

Group and longitudinal intra-individual networks of eating disorder symptoms in adolescents and young adults at-risk for an eating disorder.

Several studies have identified risk factors that predict future onset of eating disorders (ED) in adolescence, however, it is currently unknown how specific ED symptom dynamics operate both across time and within individuals. Advances in network methodologies allow for the study of how dynamic symptoms interrelate and predict each other within-persons and across time. In the current study, we used longitudinal group-level (N = 1272) (addressing symptom interrelations across people and across time; between-subjects, contemporaneous, and temporal networks) and intra-individual (symptom interrelations within each person and across time; contemporaneous and temporal networks) network analyses (subset n = 50) in prospective 48-month interview data in at-risk adolescents and young adults. We computed between-subject networks (how symptoms are associated on average, for group sample only), contemporaneous networks (how symptoms are associated at one time point, accounting for previous time points), and temporal networks (examining how symptoms predict each other across time). We replicated prior network results which suggest that overvaluation of weight and shape are central in at-risk adolescents and young adults. We found that individual networks (n = 1 networks) were highly variable across individuals. Overall, our results show how both group-level and longitudinal intra-individual network analysis can inform our understanding of how EDs develop in adolescence and point to the importance of conceptualizing development on an individual level of analysis.

The Binge Eating Genetics Initiative (BEGIN): study protocol.

BACKGROUND: The Binge Eating Genetics Initiative (BEGIN) is a multipronged investigation examining the interplay of genomic, gut microbiota, and behavioral factors in bulimia nervosa and binge-eating disorder. METHODS: 1000 individuals who meet current diagnostic criteria for bulimia nervosa or binge-eating disorder are being recruited to collect saliva samples for genotyping, fecal sampling for microbiota characterization, and recording of 30 days of passive data and behavioral phenotyping related to eating disorders using the app Recovery Record adapted for the Apple Watch. DISCUSSION: BEGIN examines the interplay of genomic, gut microbiota, and behavioral factors to explore etiology and develop predictors of risk, course of illness, and response to treatment in bulimia nervosa and binge-eating disorder. We will optimize the richness and longitudinal structure of deep passive and active phenotypic data to lay the foundation for a personalized precision medicine approach enabling just-in-time interventions that will allow individuals to disrupt eating disorder behaviors in real time before they occur. TRIAL REGISTRATION: The ClinicalTrials.gov identifier is NCT04162574. November 14, 2019, Retrospectively Registered.

A register-based case-control study of health care utilization and costs in binge-eating disorder.

OBJECTIVE: Capturing trends in healthcare utilization may help to improve efficiencies in the detection and diagnosis of illness, to plan service delivery, and to forecast future health expenditures. For binge-eating disorder (BED), issues include lengthy delays in detection and diagnosis, missed opportunities for recognition and treatment, and morbidity. The study objective was to compare healthcare utilization and expenditure in people with and without BED. METHODS: A case-control design and nationwide registers were used. All individuals diagnosed with BED at eating disorder clinics in Sweden between 2005 and 2009 were included (N = 319, 97% female, M age = 22 years). Ten controls (N = 3190) were matched to each case on age-, sex-, and location of birth. Inpatient, hospital-based outpatient, and prescription medication utilization and expenditure were analyzed up to eight years before and four years after the index date (i.e., date of diagnosis of the BED case). RESULTS: Cases had significantly higher inpatient, hospital-based outpatient, and prescription medication utilization and expenditure compared with controls many years prior to and after diagnosis of BED. Utilization and expenditure for controls was relatively stable over time, but for cases followed an inverted U-shape and peaked at the index year. Care for somatic conditions normalized after the index year, but care for psychiatric conditions remained significantly higher. CONCLUSION: Individuals with BED had substantially higher healthcare utilization and costs in the years prior to and after diagnosis of BED. Since previous research shows a delay in diagnosis, findings indicate clear opportunities for earlier detection and clinical management. Training of providers in detection, diagnosis, and management may help curtail morbidity. A reduction in healthcare utilization was observed after BED diagnosis. This suggests that earlier diagnosis and treatment could improve long-term health outcomes and reduce the economic burden associated with BED.

Harvest of Hope: The impact of a church garden project on African American youth and adults in the rural American South.

A pilot study was conducted of the feasibility of a church garden program to impact health outcomes in rural African American youth and adults. Thirty-six workdays were held at a Black church. Pre and post-intervention attitudes, diet, weight and blood pressure were measured. T-tests were used to test for significant within group differences. Spearman's rank correlation coefficients were used to test for significant bivariate associations. Youth showed improved attitudes about farming and gardening. No statistically significant changes were observed in adults. Church garden interventions can improve farming and gardening attitudes for rural, African American youth.

Social Entrepreneurship for Obesity Prevention: What Are the Opportunities?

In recent years, social entrepreneurship has emerged as a new field to address social and public health challenges. Social entrepreneurship, which harnesses traditional business practices and market forces to address social challenges, may produce solutions that are more cost-effective and sustainable than those produced by governmental and nonprofit sectors. In this paper, we discuss whether and how social entrepreneurship can be harnessed for obesity prevention by defining and briefly reviewing the rise of social entrepreneurship in the USA, outlining the threat that obesity poses to US society and offering some examples of how social ventures are addressing the problem of obesity. Additional untapped opportunities are also discussed and recommendations given for how social entrepreneurship might impact obesity prevention in the future.

Associations between neighborhood-level factors related to a healthful lifestyle and dietary intake, physical activity, and support for obesity prevention polices among rural adults.

We examined cross-sectional associations among neighborhood- and individual-level factors related to a healthful lifestyle and dietary intake, physical activity (PA), and support for obesity prevention polices in rural eastern North Carolina adults. We examined perceived neighborhood barriers to a healthful lifestyle, and associations between neighborhood barriers to healthy eating and PA, participants' support for seven obesity prevention policies, and dependent variables of self-reported dietary and PA behaviors, and measured body mass index (BMI) (n = 366 study participants). We then used participants' residential addresses and Geographic Information Systems (GIS) software to assess neighborhood-level factors related to access to healthy food and PA opportunities. Correlational analyses and adjusted linear regression models were used to examine associations between neighborhood-level factors related to a healthful lifestyle and dietary and PA behaviors, BMI, and obesity prevention policy support. The most commonly reported neighborhood barriers (from a list of 18 potential barriers) perceived by participants included: not enough bicycle lanes and sidewalks, not enough affordable exercise places, too much crime, and no place to buy a quick, healthy meal to go. Higher diet quality was inversely related to perceived and GIS-assessed neighborhood nutrition barriers. There were no significant associations between neighborhood barriers and PA. More perceived neighborhood barriers were positively associated with BMI. Support for obesity prevention policy change was positively associated with perceptions of more neighborhood barriers. Neighborhood factors that promote a healthful lifestyle were associated with higher diet quality and lower BMI. Individuals who perceived more neighborhood-level barriers to healthy eating and PA usually supported policies to address those barriers. Future studies should examine mechanisms to garner such support for health-promoting neighborhood changes.

Growing partners: building a community-academic partnership to address health disparities in rural North Carolina.

BACKGROUND: Community-based participatory research (CBPR) holds tremendous promise for addressing public health disparities. As such, there is a need for academic institutions to build lasting partnerships with community organizations. Herein we have described the process of establishing a relationship between a research university and a Black church in rural North Carolina. We then discuss Harvest of Hope, the church-based pilot garden project that emerged from that partnership. METHODS: The partnership began with a third-party effort to connect research universities with Black churches to address health disparities. Building this academic-community partnership included collaborating to determine research questions and programming priorities. Other aspects of the partnership included applying for funding together and building consensus on study budget and aims. The academic partners were responsible for administrative details and the community partners led programming and were largely responsible for participant recruitment. RESULTS: The community and academic partners collaborated to design and implement Harvest of Hope, a church-based pilot garden project involving 44 youth and adults. Community and academic partners shared responsibility for study design, recruitment, programming, and reporting of results. The successful operation of the Harvest of Hope project gave rise to a larger National Institutes of Health (NIH)-funded study, Faith, Farming and the Future (F3) involving 4 churches and 60 youth. Both projects were CBPR efforts to improve healthy food access and reducing chronic disease. This partnership continues to expand as we develop additional CBPR projects targeting physical activity, healthy eating, and environmental justice, among others. Benefits of the partnership include increased community ownership and cultural appropriateness of interventions. Challenges include managing expectations of diverse parties and adequate communication. Lessons learned and strategies for building and maintaining similar partnerships are discussed. CONCLUSIONS: The benefits of community-based research for addressing health disparities are many, and there are lessons to be learned that can strengthen community-academic partnerships.

Practice-based evidence in public health: improving reach, relevance, and results.

The most threatening public health challenges today are chronic and complex and require joint effort from academic researchers in partnership with clinical and public health practitioners to identify and implement sustainable solutions that work in the real world. Practice-based research offers researchers and practitioners an underutilized way forward, an opportunity to work together to design and test feasible, evidence-based programs to address our greatest challenges. In this article, we outline the need for practice-based evidence, tools, and strategies that investigators can use to generate practice-based evidence, describe approaches to translating practice-based evidence into practice, and offer recommendations for making practice-based research the norm in public health.

Addressing rural health disparities through policy change in the stroke belt.

CONTEXT: Obesity-prevention policies are needed, particularly in low-income rural areas of the southern United States, where obesity and chronic disease prevalence are high. In 2009, the Centers for Disease Control and Prevention issued the "Common Community Measures for Obesity Prevention" (COCOMO), a set of 24 recommended community-level obesity-prevention strategies. OBJECTIVE: A variety of stakeholders in Lenoir County, North Carolina, were surveyed and interviewed, ranking the winnability, defined as feasibility and acceptability, of each of the 24 COCOMO-recommended strategies based on local culture, infrastructure, funding, and community support. DESIGN: Mixed-methods. SETTING: This study was part of the Heart Healthy Lenoir project, a community-based project to reduce cardiovascular disease risk and disparities in risk in Lenoir County, North Carolina. PARTICIPANTS: COCOMO assessments were conducted with 19 Community Advisory Council members and in-depth interviews were conducted with 11 community stakeholders. Heart Healthy Lenoir lifestyle intervention participants (n = 366) completed surveys wherein they ranked their support for 7 obesity-prevention strategies (based on the COCOMO strategies). MAIN OUTCOME MEASURES: Ranking of obesity-prevention strategies. RESULTS: Policies to improve physical activity opportunities were deemed the most winnable, whereas policies that would limit advertisement of unhealthy food and beverages were deemed the least winnable. The most winnable food-related strategy was improving mechanisms to procure food from local farms. Stakeholders perceived the public as unfavorably disposed toward government mandates, taxes, and incentives. Among Heart Healthy Lenoir participants, males indicated lower levels of support for COCOMO-related strategies than females, and African Americans indicated higher levels of support than white participants. CONCLUSION: The formative work presented here provides insight into the winnability of proposed obesity-prevention policy change strategies in Lenoir County, North Carolina.

A community-driven approach to identifying "winnable" policies using the Centers for Disease Control and Prevention's Common Community Measures for Obesity Prevention.

Federally funded, community-based participatory research initiatives encourage the development and implementation of obesity prevention policies. In 2009, the Centers for Disease Control and Prevention (CDC) published the Common Community Measures for Obesity Prevention (COCOMO), which include recommended strategies and measures to guide communities in identifying and evaluating environmental and policy strategies to prevent obesity. Agreeing on "winnable" policy issues can be challenging for community members. We used CDC's COCOMO to structure in-depth interviews and group discussions with local stakeholders (ie, planners, town managers, and a local community advisory council) to stimulate interest in and identify health-promoting policies for local policy and planning agendas. We first asked stakeholders to rank the COCOMO recommendations according to feasibility and likelihood of success given community culture, infrastructure, extent of leadership support, and likely funding support. Rankings were used to identify the most and least "winnable" COCOMO policy strategies. We then used questions from the evidence-based Community Readiness Handbook to aid discussion with stakeholders on the facilitators and barriers to enacting the most and least winnable policy options identified. Finally, we discuss potential adaptations to COCOMO for rural jurisdictions.