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).

Keys to healthy family child care homes: Results from a cluster randomized trial.

Early care and education settings, such as family child care homes (FCCHs), are important venues for children's health promotion. Keys to Healthy Family Child Care Homes evaluated a FCCH-based intervention's impact on children's diet and physical activity. This study enrolled 496 children aged 1.5-4 years and 166 FCCH providers into a cluster-randomized control trial (intervention = 242 children/83 FCCHs, control = 254 children/83 FCCHs) conducted during 2013-2016. The 9-month intervention addressed provider health, health of the FCCH environment, and business practices, and was delivered through three workshops, three home visits, and nine phone calls. The attention control arm received a business-focused intervention. Primary outcomes were children's diet quality (2 days of observed intakes summarized into Healthy Eating Index scores) and moderate to vigorous physical activity (3 days of accelerometry) at the FCCH. Secondary outcomes were child body mass index (BMI), FCCH provider health behaviors, and FCCH nutrition and physical activity environments and business practices. Repeated measures analysis, using an intent-to-treat approach, accounting for clustering of children within FCCHs and adjusting for child age, sex, and BMI, was used to evaluate change (completed in 2018). Compared to controls, intervention children significantly improved their diet quality (5.39, p = .0002, CI = 2.53, 8.26) but not MVPA (0.31, p = .195, CI = -0.16, 0.79). Intervention FCCH providers significantly improved their diet quality and several components of their FCCH environment (i.e., time provided for physical activity, use of supportive physical activity practices, and engagement in nutrition and physical activity education/professional development). FCCHs are malleable settings for health promotion, especially diet quality. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.govNCT01814215.

Development of a Workplace Intervention for Child Care Staff: Caring and Reaching for Health's (CARE) Healthy Lifestyles Intervention.

Child care staff are among the lowest wage workers, a group at increased risk for a wide array of chronic diseases. To date, the health of child care staff has been largely ignored, and there have been very few interventions designed for child care staff. This article describes the development of the Caring and Reaching for Health (CARE) Healthy Lifestyles intervention, a workplace intervention aimed at improving physical activity and health behaviors among child care staff. Theory and evidence-based behavior change techniques informed the development of intervention components with targets at multiple social ecological levels. Final intervention components included an educational workshop held at a kick-off event, followed by three 8-week campaigns. Intervention components within each campaign included (1) an informational magazine, (2) goal setting and weekly behavior self-monitoring, (3) weekly tailored feedback, (4) e-mail/text prompts, (5) center-level displays that encouraged team-based goals and activities, and (6) coaching for center directors. This multilevel, theory-driven intervention is currently being evaluated as part of a larger randomized controlled trial. Process evaluation efforts will assess the extent to which child care staff participated in, engaged with, and were satisfied with the intervention. Lessons learned will guide future intervention research engaging child care workers.

Modifying the Environment and Policy Assessment and Observation (EPAO) to better capture feeding practices of family childcare home providers.

OBJECTIVE: To describe the modification and validation of an existing instrument, the Environment and Policy Assessment and Observation (EPAO), to better capture provider feeding practices. DESIGN: Modifications to the EPAO were made, validity assessed through expert review, pilot tested and then used to collect follow-up data during a two-day home visit from an ongoing cluster-randomized trial. Exploratory factor analysis investigated the underlying factor structure of the feeding practices. To test predictive validity of the factors, multilevel mixed models examined associations between factors and child's diet quality as captured by the Healthy Eating Index-2010 (HEI-2010) score (measured via the Dietary Observation in Childcare Protocol). SETTING: Family childcare homes (FCCH) in Rhode Island and North Carolina, USA.ParticipantsThe modified EPAO was pilot tested with fifty-three FCCH and then used to collect data in 133 FCCH. RESULTS: The final three-factor solution ('coercive control and indulgent feeding practices', 'autonomy support practices', 'negative role modelling') captured 43 % of total variance. In multilevel mixed models adjusted for covariates, 'autonomy support practices' was positively associated with children's diet quality. A 1-unit increase in the use of 'autonomy support practices' was associated with a 9·4-unit increase in child HEI-2010 score (P=0·001). CONCLUSIONS: Similar to the parenting literature, constructs which describe coercive controlling practices and those which describe autonomy-supportive practices emerged. Given that diets of pre-schoolers in the USA remain suboptimal, teaching childcare providers about supportive feeding practices may help improve children's diet quality.

What matters most - what parents model or what parents eat?

PURPOSE: Parents have a strong influence on their children's eating habits; however, researchers struggle to identify which food parenting practices to recommend. This study examined the influence of parents modeling of healthy eating ("parent role modeling") and parents' actual food intake ("parent dietary intake") on child diet quality, and explored whether these practices work together to influence children's diets. METHODS: Baseline data from a larger intervention trial were used for this analysis. The sample included parents of preschool-age children from households with at least one overweight parent. The Comprehensive Feeding Practices Questionnaire was used to assess parent modeling of healthy eating ("healthy modeling"). Three days of dietary recalls were used to collect parents' report of their own intake and their children's intake (excluding food at child care). Associations between parent healthy modeling and parent intake of healthy and unhealthy foods were explored using Pearson correlations. Associations between parent healthy modeling and parent Healthy Eating Index (HEI) score on child HEI score were examined with linear regression. Additionally, the interaction between parent healthy modeling and HEI score on child HEI score was tested. RESULTS: Parent healthy modeling was significantly correlated with parent intake of healthy foodsLinear regression showed a significant association between parent modeling and child HEI score, even after controlling for parent diet (ß = 3.08, SE = 0.87, p < 0.001). Children whose parents had high parent healthy modeling scores had higher HEI scores (mean = 61.5 ±â€¯10.4) regardless of parent HEI score. We did not find evidence that parent healthy modeling and diet quality interact to influence child diet quality. CONCLUSIONS: Parents' healthy modeling is an important practice in influencing children's diet quality, possibly more so than the quality of parents' diets.

The family child care home environment and children's diet quality.

BACKGROUND: Developing healthy eating behaviors and food preferences in early childhood may help establish future healthy diets. Large numbers of children spend time in child care, but little research has assessed the nutritional quality of meals and snacks in family child care homes. Therefore, it is important to assess foods and beverages provided, policies related to nutrition and feeding children, and interactions between providers and children during mealtimes. We examined associations between the nutrition environments of family child care homes and children's diet quality. METHODS: We assessed the nutrition environments of 166 family child care homes using the Environment and Policy Assessment and Observation (EPAO) (scores range: 0-21). We also recorded foods and beverages consumed by 496 children in care and calculated healthy eating index (HEI) (scores range: 0-100). We used a mixed effects linear regression model to examine the association between the EPAO nutrition environment (and EPAO sub-scales) and child HEI, controlling for potential confounders. RESULTS: Family child care homes had a mean (standard deviation, SD) of 7.2 (3.6) children in care, 74.1% of providers were black or African American, and children had a mean (SD) age of 35.7 (11.4) months. In adjusted multivariable models, higher EPAO nutrition score was associated with increased child HEI score (1.16; 95% CI: 0.34, 1.98; p = 0.006). Higher scores on EPAO sub-scales for foods provided (8.98; 95% CI: 3.94, 14.01; p = 0.0006), nutrition education (5.37; 95% CI: 0.80, 9.94; p = 0.02), and nutrition policy (2.36; 95% CI: 0.23, 4.49; p = 0.03) were all associated with greater child HEI score. CONCLUSIONS: Foods and beverages served, in addition to nutrition education and nutrition policies in family child care homes, may be promising intervention targets for improving child diet quality.

Physical Activity and Sedentary Behaviors of Children in Family Child Care Homes: Are There Opportunities for Improvement?

PURPOSE: Many children attend family child care homes (FCCHs), an important setting to influence children's physical activity (PA) and sedentary behavior (SB). This study assessed children's PA and SB while in FCCHs, characteristics of the FCCH PA environment, and relationships between the environment and child PA and SB. METHOD: Children ages 1.5-4.0 years (n = 495) were recruited from 165 FCCHs in North Carolina. Children's moderate to vigorous PA and SB were measured via accelerometry for 3 days. FCCH PA environments were assessed over 2 days using the Environment and Policy Assessment and Observation for FCCHs. Ten subscores and an overall PA environment score (possible range: 0-30) were calculated; higher scores indicate better quality. RESULTS: Children accumulated 30 (13) minutes of moderate to vigorous PA and 143 (42) minutes of SB in FCCHs daily. FCCHs scored low on the Environment and Policy Assessment and Observation for FCCHs, with an average overall score of 13 (2). FCCHs scored highest on screen time and screen time practices subscores, and lowest on PA education/professional development and PA policy subscores. Although no statistically significant associations were observed, some large Cohen d effect sizes were noted (eg, outdoor playtime subscore and moderate to vigorous PA). CONCLUSIONS: This study highlights opportunities to improve FCCHs and increase children's behaviors (eg, providing adequate time and outdoor play spaces).

Translating a child care based intervention for online delivery: development and randomized pilot study of Go NAPSACC.

BACKGROUND: As part of childhood obesity prevention initiatives, Early Care and Education (ECE) programs are being asked to implement evidence-based strategies that promote healthier eating and physical activity habits in children. Translation of evidence-based interventions into real world ECE settings often encounter barriers, including time constraints, lack of easy-to-use tools, and inflexible intervention content. This study describes translation of an evidence-based program (NAPSACC) into an online format (Go NAPSACC) and a randomized pilot study evaluating its impact on centers' nutrition environments. METHODS: Go NAPSACC retained core elements and implementation strategies from the original program, but translated tools into an online, self-directed format using extensive input from the ECE community. For the pilot, local technical assistance (TA) agencies facilitated recruitment of 33 centers, which were randomized to immediate (intervention, n = 18) or delayed (control, n = 15) access groups. Center directors were oriented on Go NAPSACC tools by their local TA providers (after being trained by researchers), after which they implemented Go NAPSACC independently with minimal TA support. The Environment and Policy Assessment and Observation instrument (self-report), collected prior to and following the 4-month intervention period, was used to assess impact on centers' nutrition environments. Process data were also collected from a sample of directors and all TA providers to evaluate program usability and implementation. RESULTS: Demographic characteristics of intervention and control centers were similar. Two centers did not complete follow-up measures, leaving 17 intervention and 14 control centers in the analytic sample. Between baseline and follow-up, intervention centers improved overall nutrition scores (Cohen's d effect size = 0.73, p = 0.15), as well as scores for foods (effect size = 0.74, p = 0.16), beverages (effect size = 0.54, p = 0.06), and menus (effect size = 0.73, p = 0.08), but changes were not statistically significant. CONCLUSIONS: Core elements of NAPSACC were effectively translated into online tools and successfully implemented by center directors. Results suggest that the online program may have retained its ability to drive change in centers' nutrition environments using a streamlined, self-directed, and flexible implementation approach. Results need to be confirmed in a larger more definitive trial. TRIAL REGISTRATION: NCT02889198 (retrospectively registered).

Assessment of nutrition and physical activity environments in family child care homes: modification and psychometric testing of the Environment and Policy Assessment and Observation.

BACKGROUND: Early care and education (ECE) settings play an important role in shaping the nutrition and physical activity habits of young children. Increasing research attention is being directed toward family child care homes (FCCHs) specifically. However, existing measures of child care nutrition and physical activity environments are limited in that they have been created for use with center-based programs and require modification for studies involving FCCHs. This paper describes the modification of the Environment and Policy Assessment and Observation (EPAO) for use in FCCHs. METHODS: The EPAO underwent a through modification process that incorporated an updated format for the data collection instrument, assessment of emerging best practices, tailoring to the FCCH environment, and creation of a new scoring rubric. The new instrument was implemented as part of a larger randomized control trial. To assess inter-rater reliability, observations on 61 different days were performed independently by two data collectors. To assess construct validity, associations between EPAO scores and measures of children's dietary intake (Healthy Eating Index (HEI) score) and physical activity (accelerometer-measured minutes per hour of moderate to vigorous physical activity, MVPA) were examined. RESULTS: The modified EPAO assesses 38 nutrition and 27 physical activity best practices, which can be summarized into 7 nutrition-related and 10 physical activity-related environmental sub- scores as well as overall nutrition and overall physical activity scores. There was generally good agreement between data collectors (ICC > 0.60). Reliability was slightly lower for feeding practices and physical activity education and professional development (ICC = 0.56 and 0.22, respectively). Child HEI was significantly correlated with the overall nutrition score (r = 0.23), foods provided (r = 0.28), beverages provided (r = 0.15), nutrition education and professional development (r = 0.21), and nutrition policy (r = 0.18). Child MVPA was significantly associated with overall time provided for activity (r = 0.18) and outdoor playtime (r = 0.20). There was also an unexpected negative association between child MVPA and screen time (-0.16) and screen time practices (r = -0.21). CONCLUSIONS: The EPAO for the FCCH instrument is a useful tool for researchers working with this unique type of ECE setting. It has undergone rigorous development and testing and appears to have good psychometric properties. TRIAL REGISTRATION: NCT01814215 , March 15, 2013.

Providers' response to child eating behaviors: A direct observation study.

Child care providers play an important role in feeding young children, yet little is known about children's influence on providers' feeding practices. This qualitative study examines provider and child (18 months -4 years) feeding interactions. Trained data collectors observed 200 eating occasions in 48 family child care homes and recorded providers' responses to children's meal and snack time behaviors. Child behaviors initiating provider feeding practices were identified and practices were coded according to higher order constructs identified in a recent feeding practices content map. Analysis examined the most common feeding practices providers used to respond to each child behavior. Providers were predominately female (100%), African-American (75%), and obese (77%) and a third of children were overweight/obese (33%). Commonly observed child behaviors were: verbal and non-verbal refusals, verbal and non-verbal acceptance, being "all done", attempts for praise/attention, and asking for seconds. Children's acceptance of food elicited more autonomy supportive practices vs. coercive controlling. Requests for seconds was the most common behavior, resulting in coercive controlling practices (e.g., insisting child eat certain food or clean plate). Future interventions should train providers on responding to children's behaviors and helping children become more aware of internal satiety and hunger cues.

Parenting around child snacking: development of a theoretically-guided, empirically informed conceptual model.

BACKGROUND: Snacking contributes to excessive energy intakes in children. Yet factors shaping child snacking are virtually unstudied. This study examines food parenting practices specific to child snacking among low-income caregivers. METHODS: Semi-structured interviews were conducted in English or Spanish with 60 low-income caregivers of preschool-aged children (18 non-Hispanic white, 22 African American/Black, 20 Hispanic; 92% mothers). A structured interview guide was used to solicit caregivers' definitions of snacking and strategies they use to decide what, when and how much snack their child eats. Interviews were audio-recorded, transcribed verbatim and analyzed using an iterative theory-based and grounded approach. A conceptual model of food parenting specific to child snacking was developed to summarize the findings and inform future research. RESULTS: Caregivers' descriptions of food parenting practices specific to child snacking were consistent with previous models of food parenting developed based on expert opinion [1, 2]. A few noteworthy differences however emerged. More than half of participants mentioned permissive feeding approaches (e.g., my child is the boss when it comes to snacks). As a result, permissive feeding was included as a higher order feeding dimension in the resulting model. In addition, a number of novel feeding approaches specific to child snacking emerged including child-centered provision of snacks (i.e., responding to a child's hunger cues when making decisions about snacks), parent unilateral decision making (i.e., making decisions about a child's snacks without any input from the child), and excessive monitoring of snacks (i.e., monitoring all snacks provided to and consumed by the child). The resulting conceptual model includes four higher order feeding dimensions including autonomy support, coercive control, structure and permissiveness and 20 sub-dimensions. CONCLUSIONS: This study formulates a language around food parenting practices specific to child snacking, identifies dominant constructs, and proposes a conceptual framework to guide future research.

Measuring parent food practices: a systematic review of existing measures and examination of instruments.

During the last decade, there has been a rapid increase in development of instruments to measure parent food practices. Because these instruments often measure different constructs, or define common constructs differently, an evaluation of these instruments is needed. A systematic review of the literature was conducted to identify existing measures of parent food practices and to assess the quality of their development. The initial search used terms capturing home environment, parenting behaviors, feeding practices and eating behaviors, and was performed in October of 2009 using PubMed/Medline, PsychInfo, Web of knowledge (ISI), and ERIC, and updated in July of 2012. A review of titles and abstracts was used to narrow results, after which full articles were retrieved and reviewed. Only articles describing development of measures of parenting food practices designed for families with children 2-12 years old were retained for the current review. For each article, two reviewers extracted data and appraised the quality of processes used for instrument development and evaluation. The initial search yielded 28,378 unique titles; review of titles and abstracts narrowed the pool to 1,352 articles; from which 57 unique instruments were identified. The review update yielded 1,772 new titles from which14 additional instruments were identified. The extraction and appraisal process found that 49% of instruments clearly identified and defined concepts to be measured, and 46% used theory to guide instrument development. Most instruments (80%) had some reliability testing, with internal consistency being the most common (79%). Test-retest or inter-rater reliability was reported for less than half the instruments. Some form of validity evidence was reported for 84% of instruments. Construct validity was most commonly presented (86%), usually with analysis of associations with child diet or weight/BMI. While many measures of food parenting practices have emerged, particularly in recent years, few have demonstrated solid development methods. Substantial variation in items across different scales/constructs makes comparison between instruments extremely difficult. Future efforts should be directed toward consensus development of food parenting practices constructs and measures.

Development of HomeSTEAD's physical activity and screen time physical environment inventory.

BACKGROUND: The home environment has a significant influence on children's physical activity, sedentary behavior, dietary intake, and risk for obesity and chronic disease. Our understanding of the most influential factors and how they interact and impact child behavior is limited by current measurement tools, specifically the lack of a comprehensive instrument. HomeSTEAD (the Home Self-administered Tool for Environmental assessment of Activity and Diet) was designed to address this gap. This new tool contains four sections: home physical activity and media equipment inventory, family physical activity and screen time practices, home food inventory, and family food practices. This paper will describe HomeSTEAD's development and present reliability and validity evidence for the first section. METHODS: The ANGELO framework guided instrument development, and systematic literature reviews helped identify existing items or scales for possible inclusion. Refinement of items was based on expert review and cognitive interviews. Parents of children ages 3-12 years (n = 125) completed the HomeSTEAD survey on three separate occasions over 12-18 days (Time 1, 2, and 3). The Time 1 survey also collected demographic information and parent report of child behaviors. Between Time 1 and 2, staff conducted an in-home observation and measured parent and child BMI. Kappa and intra-class correlations were used to examine reliability (test-retest) and validity (criterion and construct). RESULTS: Reliability and validity was strong for most items (97% having ICC > 0.60 and 72% having r > 0.50, respectively). Items with lower reliability generally had low variation between people. Lower validity estimates (r < 0.30) were more common for items that assessed usability and accessibility, with observers generally rating usability and accessibility lower than parents. Small to moderate, but meaningful, correlations between physical environment factors and BMI, outside time, and screen time were observed (e.g., amount of child portable play equipment in good condition and easy to access was significantly associated with child BMI: r = -0.23), providing evidence of construct validity. CONCLUSIONS: The HomeSTEAD instrument represents a clear advancement in the measurement of factors in the home environment related to child weight and weight-related behaviors. HomeSTEAD, in its entirety, represents a useful tool for researchers from which they can draw particular scales of greatest interest and highest relevance to their research questions.

Integrating a family-focused approach into child obesity prevention: rationale and design for the My Parenting SOS study randomized control trial.

BACKGROUND: More than 20% of US children ages 2-5 yrs are classified as overweight or obese. Parents greatly influence the behaviors their children adopt, including those which impact weight (e.g., diet and physical activity). Unfortunately, parents often fail to recognize the risk for excess weight gain in young children, and may not be motivated to modify behavior. Research is needed to explore intervention strategies that engage families with young children and motivate parents to adopt behaviors that will foster healthy weight development. METHODS: This study tests the efficacy of the 35-week My Parenting SOS intervention. The intervention consists of 12 sessions: initial sessions focus on general parenting skills (stress management, effective parenting styles, child behavior management, coparenting, and time management) and later sessions apply these skills to promote healthier eating and physical activity habits. The primary outcome is change in child percent body fat. Secondary measures assess parent and child dietary intake (three 24-hr recalls) and physical activity (accelerometry), general parenting style and practices, nutrition- and activity-related parenting practices, and parent motivation to adopt healthier practices. DISCUSSION: Testing of these new approaches contributes to our understanding of how general and weight-specific parenting practices influence child weight, and whether or not they can be changed to promote healthy weight trajectories. TRIAL REGISTRATION: ClinicalTrials.gov: NCT00998348.

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.

Screen Time Parenting Practices and Associations with Preschool Children's TV Viewing and Weight-Related Outcomes.

The purpose of this study was to examine associations between screen time (ST) parenting practices and 2-5-year-old children's TV viewing and weight status. Data were collected from 252 parent-child dyads enrolled in a randomized parent-focused childhood obesity prevention trial from 2009-2012. ST parenting practices were assessed at baseline using a validated parent-reported survey. Parent-reported child TV viewing and objectively measured anthropometrics were assessed at baseline, post-intervention (35 weeks), and follow-up (59 weeks). Marginal effect models were developed to test the association between baseline ST parenting practices and children's TV viewing, BMI z-score, and waist circumference across all time points. Limiting/monitoring ST was associated with decreased weekly TV viewing (ß = -1.79, 95% CI: -2.61; -0.95), while exposure to TV was associated with more weekly TV viewing over 59 weeks (ß = 1.23, 95% CI: 0.71; 1.75). Greater parent use of ST as a reward was associated with increased child BMI z-score (ß = 0.15, 95% CI: 0.03; 0.27), while limiting/monitoring ST was associated with decreased BMI z-score (ß = -0.16, 95% CI: -0.30; -0.01) and smaller waist circumference (ß = -0.55, 95% CI: -1.04; -0.06) over the study period. These findings suggest that modifying parent ST practices may be an important strategy to reduce ST and promote healthy weight in young children.

Fidelity and factors influencing implementation of Healthy Me, Healthy: process evaluation of a social marketing campaign for diet and physical activity behaviors of children in childcare.

The effectiveness of interventions targeting children's eating and physical activity behaviors through childcare settings is inconsistent. To enhance public health impact, it is imperative to evaluate fidelity of implementing complex interventions in real-world settings. This study evaluated fidelity and contextual factors influencing implementation of Healthy Me, Healthy We (HMHW). HMHW was an 8-month social marketing campaign delivered through childcare to support children's healthy eating and physical activity. HMHW required two levels of implementation support (research team and childcare providers) and two levels of campaign delivery (childcare providers and parents). Process evaluation was conducted among childcare centers in the intervention group (n=48) of the cluster-randomized control trial. Measures included attendance logs, self-report surveys, observation checklists, field notes, and semi-structured interviews. A 35-item fidelity index was created to assess fidelity of implementation support and campaign delivery. The fidelity with which HMHW was implemented by childcare providers and parents was low (mean 17.4 out of 35) and decreased between childcare providers and parents. Childcare providers had high acceptability of the program and individual components (80 - 93%). Only half of parents felt intervention components were acceptable. Frequently cited barriers to implementation by childcare providers included time constraints, parent engagement, staff turnover, and restrictive policies. The lack of observable effect of HMHW on children's dietary or physical activity behaviors may be due to inadequate implementation at multiple levels. Different or additional strategies are necessary to support implementation of multilevel interventions, particularly when individuals are expected to deliver intervention components and support others in doing so.

Evaluating a child care-based social marketing approach for improving children's diet and physical activity: results from the Healthy Me, Healthy We cluster-randomized controlled trial.

Child care-based interventions offer an opportunity to reach children at a young and impressionable age to support healthy eating and physical activity behaviors. Ideally, these interventions engage caregivers, including both childcare providers and parents, in united effort. This study evaluated the impact of the Healthy Me, Healthy We intervention on children's diet quality and physical activity. A sample of 853 three- to four-year-old children from 92 childcare centers were enrolled in this cluster-randomized control trial. Healthy Me, Healthy We was an 8-month, social marketing intervention delivered through childcare that encouraged caregivers (childcare providers and parents) to use practices that supported children's healthy eating and physical activity behaviors. Outcome measures, collected at baseline and post-intervention, assessed children's diet quality, physical activity, and BMI as well as caregivers' feeding and physical activity practices. Generalized Linear Mixed Models were used to assess change from baseline to post-intervention between intervention and control arms. No significant changes were noted in any of the outcome measures except for small improvements in children's sodium intake and select parent practices. Despite the negative findings, this study offers many lessons about the importance and challenges of effective parent engagement which is critical for meaningful changes in children's health behaviors.

Contributions of Early Care and Education Programs to Diet Quality in Children Aged 3 to 4 Years in Central North Carolina.

BACKGROUND: Parents and early care and education (ECE) are the key influencers of young children's diets, but there is limited information about how each contribute to children's overall diet quality. OBJECTIVE: This study aimed to determine what proportion of children's dietary intake occurs within the ECE setting and whether diet quality is higher at ECE centers and, consequently, on weekdays than weekends. DESIGN: This cross-sectional analysis of a larger cluster randomized controlled trial used multiple 24-hour dietary intakes measured through a combination of the Dietary Observation in Child Care protocol and parent-reported food diaries. PARTICIPANTS/SETTING: Participants (N=840) included children aged 3 to 4 years enrolled in ECE centers in central North Carolina for whom 24-hour dietary intake was captured via observation of meals and snacks consumed at ECE and parent-report of all remaining meals and snacks. Data were collected from 2015 to 2016. MAIN OUTCOME MEASURES: Diet quality at ECE and elsewhere was evaluated using the Healthy Eating Index 2015. STATISTICAL ANALYSES PERFORMED: Mixed-effects models were used to determine differences in mean Healthy Eating Index 2015 component and total scores. Models were adjusted for children's age and sex and accounted for clustering within ECE centers and families. RESULTS: Children consumed approximately 40% of daily energy, nutrients, and food groups at ECE centers. The mean total Healthy Eating Index 2015 score was higher for foods and beverages consumed at ECE centers (58.3±0.6) than elsewhere (52.5±0.6) (P<0.0001). The mean total Healthy Eating Index 2015 score was also higher on weekdays (58.5±0.5) than on weekends (51.3±0.5) (P<0.0001). CONCLUSIONS: Children consume a majority of dietary intake away from ECE centers. Overall, diet quality is low, but the quality of foods consumed by children at ECE centers is higher than that consumed elsewhere. ECE centers remain an important source of nutrition and further investigation is warranted to identify ways to support both ECE centers and families to provide healthier eating environments.

Identifying patterns of physical activity and screen time parenting practices and associations with preschool children's physical activity and adiposity.

Although physical activity and screen time parenting practices influence children's behaviors, little work has examined how these practices work in combination. The purpose of this study was to identify patterns of physical activity and screen time parenting practices, and examine differences in preschool children's physical activity, sedentary behavior, and adiposity among the identified patterns. Data were collected in 2009-2012 from 319 parent-child dyads enrolled in a randomized trial testing a parent-focused obesity prevention intervention. At baseline, physical activity and screen time parenting practices were assessed using a validated self-report survey. Children's physical activity and sedentary behavior were measured using accelerometers and child anthropometrics were objectively measured. Latent profile analyses identified patterns of physical activity and screen time parenting practices. Differences in child outcomes were tested among the identified classes. Three parent classes were identified: Rewarders (n = 165), Activity Supportive (n = 98), and Screen Time Permissive (n = 56). Rewarder parents were characterized by the highest scores on using physical activity and screen time to reward or control children's behavior. Activity Supportive parents generally had the highest scores on practices to promote physical activity, while Screen Time Permissive parents had the highest scores on practices facilitating screen time. There were no differences in the mean child physical activity, sedentary behavior or BMI z-score among the three classes. Findings revealed distinct classes of parents that could provide modifiable targets for family-based physical activity promotion, but more work is needed examining the influence of these patterns longitudinally and in different populations.