Multi-State Implementation of Go NAPSACC to Support Healthy Practices in the Early Care and Education Setting.

Childhood obesity in the United States is a serious problem that puts children at risk for poor health. Effective state-wide interventions are needed to address childhood obesity risk factors. Embedding evidence-based initiatives into state-level Early Care and Education (ECE) systems has the potential to improve health environments and promote healthy habits for the 12.5 million children attending ECE programs. Go NAPSACC, an online program that was adapted from an earlier paper version of Nutrition and Physical Activity Self-Assessment for Child Care (NAPSACC or NAP SACC), provides an evidence-based approach that aligns with national guidance from Caring for Our Children and the Centers for Disease Control and Prevention. This study describes approaches undertaken across 22 states from May 2017 to May 2022 to implement and integrate Go NAPSACC into state-level systems. This study describes challenges encountered, strategies employed, and lessoned learned while implementing Go NAPSACC state-wide. To date, 22 states have successfully trained 1,324 Go NAPSACC consultants, enrolled 7,152 ECE programs, and aimed to impact 344,750 children in care. By implementing evidence-based programs, such as Go NAPSACC, ECE programs state-wide can make changes and monitor progress on meeting healthy best practice standards, increasing opportunities for all children to have a healthy start.

Go NAPSACC On-Demand Trainings for Early Care and Education Providers: Development and Dissemination.

Twenty-two on-demand nutrition training sessions were developed for Early Care and Education providers and disseminated in 21 states using the Go Nutrition and Physical Activity Self-Assessment for Child Care (Go NAPSACC) platform. The training was developed using the DESIGN (decide target behavior, explore determinants, select theory-based model, indicate objectives, generate education plans, and nail down the evaluation) procedure framework, adult learning principles, and behavior change techniques purposively disseminated. More than 96% of the nearly 3,000 providers who completed training in year 1 reported anticipated application of what they learned. On-demand training integrated into existing systems can potentially increase training access for hard-to-reach groups. Strategic promotion may be needed to encourage engagement of non-Child and Adult Care Food Program participating programs and completion of targeted modules.

Feasibility and Acceptability of Wearable Sensor Placement for Measuring Screen Time of Children.

Introduction/Purpose: Wearables that include a color light sensor are a promising measure of electronic screen use in adults. However, to extend this approach to children, we need to understand feasibility of wear placement. The purpose of this study was to examine parent perceptions of children's acceptability of different sensor placements and feasibility of free-living 3- to 7-day wear protocols. Methods: This study was conducted in three phases. In phase 1, caregivers (n=161) of 3- to 8-year-old children completed an online survey to rate aspects of fitting and likelihood of wear for seven methods (headband, eyeglasses, skin adhesive patch, shirt clip/badge, mask, necklace, and vest). In phase 2, children (n=31) were recruited to wear one of the top five prototypes for three days (n=6 per method). In phase 3, children (n=23) were recruited to wear prototypes of the top three prototypes from phase 2 (n=8 per method) for 7 days. In phases 2 and 3, parents completed wear logs and surveys about their experiences. Parents scored each wearable on three domains (ease of use, likelihood of wear, and child enjoyment). Scores were averaged to compute an everyday "usability" score (0, worst, to 200, best). Results: Phase 1 results suggested that the headband, eyeglasses, patch, clip/badge, and vest had the best potential for long-term wear. In phase 2, time spent wearing prototypes and usability scores were highest for the eyeglasses (10.4 hours/day, score=155.4), clip/badge (9.8 hours/day, score=145.8), and vest (7.1 hours/day, score=141.7). In phase 3, wearing time and usability scores were higher for the clip/badge (9.4 hours/day, score=169.6) and eyeglasses (6.5 hours/day, score=145.3) compared to the vest (4.8 hours/day, score=112.5). Conclusion: Results indicate that wearable sensors clipped to a child's shirt or embedded into eyeglasses are feasible and acceptable wear methods in free-living settings. The next step is to asses the quality, validity, and reliability of data captured using these wear methods.

Predictors of Non-Compliance with a National Early Care and Education-Based Obesity Prevention Initiative: Go NAPSACC.

PURPOSE: The purpose is to examine predictors of intervention non-compliance and develop a risk stratification score. DESIGN: Prospective cohort. SETTING: Early care and education (ECE). SUBJECTS: Early care and education programs (n = 3883) randomly allocated (3:1) to a development (n = 2909) or validation (n = 974) sample. INTERVENTION: Go NAPSACC provides a structured, web-based process to help improve the health of children around 7 modules (nutrition, physical activity, oral health, breast/infant feeding, farm to ECE, outdoor play, and screen time). MEASURES: Program characteristics and participation data are collected via Go NAPSACC tool. ANALYSIS: Multivariable Lasso logistic regression was used to identify predictors. Discriminative ability was based on area under the ROC curve (AUC). RESULTS: Overall, ECE program non-compliance (lack of valid pre-/post self-assessment) was 65.5%. Six predictors were retained in the final development model: type of program (P = .002), Child and Adult Care Food Program (CACFP) participation (P = .065), acceptance of subsidies (P < .001), past modules attempted (P < .001), past modules completed (P < .001), and action plans created (P < .001). These factors generated a non-compliance risk score which showed good discrimination in the validation sample (AUC: .922, 95% CI: .903-.940). CONCLUSION: Lack of qualitative data limits the ability to fully understand the context of non-compliance; however, this study demonstrates readily available data captured by Go NAPSACC are strong predictors of future success. Early identification of high-risk programs will inform targets for future implementation strategies geared toward improving program success.

Implementation of a workplace physical activity intervention in child care: process evaluation results from the Care2BWell trial.

Care2BWell was designed to evaluate the efficacy of Healthy Lifestyles (HL), a worksite health promotion intervention to increase child care workers' physical activity. The purpose of this study was to use process evaluation to describe the implementation of HL and determine if different levels of implementation are associated with changes in workers' physical activity. Data were collected from 250 workers randomized to HL, a 6 month, multilevel intervention that included an educational workshop followed by three 8 week campaigns that included self-monitoring and feedback, raffle incentive, social support, and center director coaching. Process evaluation data collection included direct observation, self-reported evaluation surveys, website analytics and user test account data, tracking databases and semi-structured interviews. Implementation scores were calculated for each intervention component and compared at the center and individual levels. Nearly a third of workers never self-monitored and few (16%) met self-monitoring goals. Only 39% of centers engaged with the social support component as intended. Raffle and social support components were perceived as the least useful. Implementation varied widely by center (25%-76%) and individual workers (0%-94%). No within- or between-group differences for high compared to low implementation groups for change in physical activity were evident. Interview themes included limited sustainability, competing priorities, importance of social support, and desire for a more intensive, personalized intervention. Wide variation in implementation may explain limited effects on intervention outcomes. Future worksite interventions designed for child care workers can use these findings to optimize health promotion in this setting.

Workplace-based opportunities to support child care workers' health and safety.

Child care workers earn among the lowest wages in the United States and they struggle with many health issues. The purpose of this study was to describe workplace supports for nutrition, physical activity, other health behaviors (e.g., smoking cessation, stress management), and occupational health and safety available to child care workers, and thereby inform the development of future workplace-based interventions to improve worker well-being. Between 2015 and 2016, 74 North Carolina child care centers (and directors), participating in a larger randomized controlled trial, completed a Workplace Health and Safety Assessment (interview and observation) measuring four domains: Infrastructure, Organizational Policies and Procedures, Programs and Promotions, and Internal Physical Environment. This study used baseline data to report means and standard deviations. Participating child care centers employed, on average, 12.7 ± 8.4 employees. Total scores from the Workplace Health and Safety Assessment averaged 41.3 ± 12.6 out of a possible 154, demonstrating many missed opportunities for supporting health/safety. More specifically, centers scored on average 9.5 ± 3.9 on Infrastructure (35% of potential points), 11.1 ± 3.9 on Organizational Policies and Procedures (32% of potential), 7.6 ± 5.4 on Programs and Promotions (12% of potential), and 13.1 ± 2.2 on Internal Physical Environment (49% of potential). The most frequent supports available were for occupational health and safety issues, while fewer supports were available for physical activity and other health behaviors. Child care workers could benefit greatly from more comprehensive workplace health and safety interventions; however, strategies must overcome centers' limited capacity and resources.

Results of caring and reaching for health (CARE): a cluster-randomized controlled trial assessing a worksite wellness intervention for child care staff.

BACKGROUND: Child care workers are among the lowest paid US workers and experience a wide array of health concerns. The physical and mental demands of their job and the lack of employer-provided health-insurance increase health risks. The Caring and Reaching for Health (CARE) study evaluated a 6-month Healthy Lifestyles intervention targeting child care workers' physical activity (primary outcome), other health behaviors, and their workplace health environment. METHODS: Eligible child care centers, defined as being in operation for at least 2 years and employing at least four staff, were enrolled into CARE's cluster-randomized trial. Centers and their child care staff were randomly assigned to either the Healthy Lifestyles (HL) intervention arm or the Healthy Finances (HF) attention control arm using a block randomization approach. Intervention components were delivered through in-person workshops, center-level displays, informational magazines, director coaching, electronic messaging, and an interactive website. Outcome measures were collected during center visits at baseline and immediately post-intervention by trained data collectors blinded to center arm assignment. Workers' physical activity was assessed with accelerometers, worn for 7 days. Secondary outcome measures included biometric assessments of health and fitness, web-based surveys about health behaviors, and an environmental audit of workplace supports for health. Multi-level linear mixed models assessed worker- and center-level changes in these outcomes. RESULTS: Participants included 553 child care workers representing 56 centers (HL = 250 staff/28 centers, HF = 303 staff/28 centers). At 6 months, moderate-to-vigorous physical activity declined slightly in both arms (- 1.3 min/day, 95% CI: - 3.0, 0.3 in HL; - 1.9 min/day, 95% CI: - 3.3, - 0.5 in HF), but there was no significant group by time interaction. Several secondary outcomes for other health behaviors and workplace health environment showed improvements in favor of the intervention arm, yet differences did not remain statistically significant after adjustment for multiple comparisons. CONCLUSIONS: While the Healthy Lifestyles intervention did not improve health behaviors or the workplace health environment, results confirmed the pressing need to focus on the health of child care workers. Future interventions should focus on prevalent health issues (e.g., weight, stress), include both high-tech and high-touch intervention strategies, and address work conditions or other social determinants of health (e.g. wages) as a means of improving the health of these essential workers. TRIAL REGISTRATION: Care2BWell: Worksite Wellness for Child Care (NCT02381938).