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Lee, Rebekka

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Rebekka

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Lee, Rebekka

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2014 - 20184

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Author's Publications: search.filters.isAuthorOfPublication.7f20e8cd-d312-473e-beb1-b6b95b6a76ae

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    Obesity Prevention Interventions in US Public Schools: Are Schools Using Programs That Promote Weight Stigma?
    (Centers for Disease Control and Prevention, 2017) Kenney, Erica; Wintner, Suzanne; Lee, Rebekka; Austin, S. Bryn
    Introduction: Despite substantial research on school-based obesity prevention programs, it is unclear how widely they are disseminated. It is also unknown whether schools use obesity programs that inadvertently promote weight stigma or disordered weight-control behaviors. Methods: In spring 2016, we distributed an online survey about school wellness programming to a simple random sample of US public school administrators (N = 247 respondents; 10.3% response rate). We analyzed survey responses and conducted immersion/crystallization analysis of written open-ended responses. Results: Slightly less than half (n = 117, 47.4%) of schools offered any obesity prevention program. Only 17 (6.9%) reported using a predeveloped program, and 7 (2.8%) reported using a program with evidence for effectiveness. Thirty-seven schools (15.0%) reported developing intervention programs that focused primarily on individual students’ or staff members’ weight rather than nutrition or physical activity; 28 schools (11.3% of overall) used staff weight-loss competitions. School administrators who reported implementing a program were more likely to describe having a program champion and adequate buy-in from staff, families, and students. Lack of funding, training, and time were widely reported as barriers to implementation. Few administrators used educational (n = 12, 10.3%) or scientific (n = 6, 5.1%) literature for wellness program decision making. Conclusion: Evidence-based obesity prevention programs appear to be rarely implemented in US schools. Schools may be implementing programs lacking evidence and programs that may unintentionally exacerbate student weight stigma by focusing on student weight rather than healthy habits. Public health practitioners and researchers should focus on improving support for schools to implement evidence-based programs.
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    A Mixed Methods Approach to Evaluate Partnerships and Implementation of the Massachusetts Prevention and Wellness Trust Fund
    (Frontiers Media S.A., 2018) Lee, Rebekka; Ramanadhan, Shoba; Kruse, Gina; Deutsch, Charles
    Background: Strong partnerships are critical to integrate evidence-based prevention interventions within clinical and community-based settings, offering multilevel and sustainable solutions to complex health issues. As part of Massachusetts' 2012 health reform, The Prevention and Wellness Trust Fund (PWTF) funded nine local partnerships throughout the state to address hypertension, pediatric asthma, falls among older adults, and tobacco use. The initiative was designed to improve health outcomes through prevention and disease management strategies and reduce healthcare costs. Purpose: Describe the mixed-methods study design for investigating PWTF implementation. Methods: The Consolidated Framework for Implementation Research guided the development of this evaluation. First, the study team conducted semi-structured qualitative interviews with leaders from each of nine partnerships to document partnership development and function, intervention adaptation and delivery, and the influence of contextual factors on implementation. The interview findings were used to develop a quantitative survey to assess the implementation experiences of 172 staff from clinical and community-based settings and a social network analysis to assess changes in the relationships among 72 PWTF partner organizations. The quantitative survey data on ratings of perceived implementation success were used to purposively select 24 staff for interviews to explore the most successful experiences of implementing evidence-based interventions for each of the four conditions. Conclusions: This mixed-methods approach for evaluation of implementation of evidence-based prevention interventions by PWTF partnerships can help decision-makers set future priorities for implementing and assessing clinical-community partnerships focused on prevention.
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    Validity of a practitioner-administered observational tool to measure physical activity, nutrition, and screen time in school-age programs
    (BioMed Central, 2014) Lee, Rebekka; Emmons, Karen M; Okechukwu, Cassandra; Barrett, Jessica L; Kenney, Erica; Cradock, Angie; Giles, Catherine; deBlois, Madeleine E; Gortmaker, Steven
    Background: Nutrition and physical activity interventions have been effective in creating environmental changes in afterschool programs. However, accurate assessment can be time-consuming and expensive as initiatives are scaled up for optimal population impact. This study aims to determine the criterion validity of a simple, low-cost, practitioner-administered observational measure of afterschool physical activity, nutrition, and screen time practices and child behaviors. Methods: Directors from 35 programs in three cities completed the Out-of-School Nutrition and Physical Activity Observational Practice Assessment Tool (OSNAP-OPAT) on five days. Trained observers recorded snacks served and obtained accelerometer data each day during the same week. Observations of physical activity participation and snack consumption were conducted on two days. Correlations were calculated to validate weekly average estimates from OSNAP-OPAT compared to criterion measures. Weekly criterion averages are based on 175 meals served, snack consumption of 528 children, and physical activity levels of 356 children. Results: OSNAP-OPAT validly assessed serving water (r = 0.73), fruits and vegetables (r = 0.84), juice >4oz (r = 0.56), and grains (r = 0.60) at snack; sugary drinks (r = 0.70) and foods (r = 0.68) from outside the program; and children’s water consumption (r = 0.56) (all p <0.05). Reports of physical activity time offered were correlated with accelerometer estimates (minutes of moderate and vigorous physical activity r = 0.59, p = 0.02; vigorous physical activity r = 0.63, p = 0.01). The reported proportion of children participating in moderate and vigorous physical activity was correlated with observations (r = 0.48, p = 0.03), as were reports of computer (r = 0.85) and TV/movie (r = 0.68) time compared to direct observations (both p < 0.01). Conclusions: OSNAP-OPAT can assist researchers and practitioners in validly assessing nutrition and physical activity environments and behaviors in afterschool settings. Trial registration Phase 1 of this measure validation was conducted during a study registered at clinicaltrials.gov NCT01396473. Electronic supplementary material The online version of this article (doi:10.1186/s12966-014-0145-5) contains supplementary material, which is available to authorized users.
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    Identifying Sources of Children’s Consumption of Junk Food in Boston After-School Programs, April–May 2011
    (Centers for Disease Control and Prevention, 2014) Kenney, Erica; Austin, S. Bryn; Cradock, Angie; Giles, Catherine; Lee, Rebekka; Davison, Kirsten; Gortmaker, Steven
    Introduction: Little is known about how the nutrition environment in after-school settings may affect children’s dietary intake. We measured the nutritional quality of after-school snacks provided by programs participating in the National School Lunch Program or the Child and Adult Care Food Program and compared them with snacks brought from home or purchased elsewhere (nonprogram snacks). We quantified the effect of nonprogram snacks on the dietary intake of children who also received program-provided snacks during after-school time. Our study objective was to determine how different sources of snacks affect children’s snack consumption in after-school settings. Methods: We recorded snacks served to and brought in by 298 children in 18 after-school programs in Boston, Massachusetts, on 5 program days in April and May 2011. We measured children’s snack consumption on 2 program days using a validated observation protocol. We then calculated within-child change-in-change models to estimate the effect of nonprogram snacks on children’s dietary intake after school. Results: Nonprogram snacks contained more sugary beverages and candy than program-provided snacks. Having a nonprogram snack was associated with significantly higher consumption of total calories (+114.7 kcal, P < .001), sugar-sweetened beverages (+0.5 oz, P = .01), desserts (+0.3 servings, P < .001), and foods with added sugars (+0.5 servings; P < .001) during the snack period. Conclusion: On days when children brought their own after-school snack, they consumed more salty and sugary foods and nearly twice as many calories than on days when they consumed only program-provided snacks. Policy strategies limiting nonprogram snacks or setting nutritional standards for them in after-school settings should be explored further as a way to promote child health.