Provisions Related to Health, Nutrition, and Healthy Beverage Promotion in University Pouring Rights Contracts: A Content Analysis.

PURPOSE: Many universities maintain pouring rights contracts (PRCs) with beverage companies wherein one company exchanges sponsorship payments for exclusive beverage marketing rights. Separately, universities may have healthy beverage initiatives (HBIs) to encourage healthier choices on campus. This study aimed to assess how and how frequently PRCs included provisions related to health and nutrition to examine how PRCs may support or undermine HBIs. DESIGN: Cross-sectional. SETTING: U.S. public universities with >20,000 students. SAMPLE: 131 PRCs obtained from 124 of 143 universities in 2019-2020. MEASURES: Primary outcomes were the presence of provisions that could encourage or discourage promotion of healthy beverages (water, diet soda, unsweetened coffee or tea, and 100% juice), and any other provisions explicitly or implicitly referencing health or nutrition. ANALYSIS: Descriptive statistics. RESULTS: Twelve contracts (9%) had explicit commitments from the company or university to promote healthy beverages or adhere to nutrition standards, including five committing to support HBIs, four committing to healthy vending policies, and three describing activities to promote healthy beverage brands. Ten (8%) had provisions explicitly inhibiting water promotion and 55 (42%) had provisions that could be interpreted that way. Eleven (8%) included other health and nutrition provisions, such as funding for unspecified wellness activities. CONCLUSION: Most university beverage contracts did not expressly aim to support healthy choices, and more than half had provisions potentially limiting universities' ability to implement HBIs. When present, nutrition standards were weak.

A Marginalized Zero-Inflated Negative Binomial Model for Spatial Data: Modeling COVID-19 Deaths in Georgia.

Spatial count data with an abundance of zeros arise commonly in disease mapping studies. Typically, these data are analyzed using zero-inflated models, which comprise a mixture of a point mass at zero and an ordinary count distribution, such as the Poisson or negative binomial. However, due to their mixture representation, conventional zero-inflated models are challenging to explain in practice because the parameter estimates have conditional latent-class interpretations. As an alternative, several authors have proposed marginalized zero-inflated models that simultaneously model the excess zeros and the marginal mean, leading to a parameterization that more closely aligns with ordinary count models. Motivated by a study examining predictors of COVID-19 death rates, we develop a spatiotemporal marginalized zero-inflated negative binomial model that directly models the marginal mean, thus extending marginalized zero-inflated models to the spatial setting. To capture the spatiotemporal heterogeneity in the data, we introduce region-level covariates, smooth temporal effects, and spatially correlated random effects to model both the excess zeros and the marginal mean. For estimation, we adopt a Bayesian approach that combines full-conditional Gibbs sampling and Metropolis-Hastings steps. We investigate features of the model and use the model to identify key predictors of COVID-19 deaths in the US state of Georgia during the 2021 calendar year.

Dollar store policy opportunities in Baltimore City: community member and policy maker perspectives.

Introduction: There are currently over 50 dollar stores in Baltimore City, Maryland. Community perceptions of over-saturation and resulting neighborhood impacts have garnered recent attention. A Maryland State Senate Bill required further study of dollar stores in Baltimore City to inform future policy. Therefore, the over-arching goal of this study was to generate community-informed policy recommendations for the Baltimore City Council. Methods: Three methods of data collection were used: (1) in-depth interviews with community members, retail staff/owners, dollar store staff, and policy makers; (2) an online survey of Baltimore City residents; and (3) workshop with community members and one with policy makers. Triangulation across data sources, discussion amongst the research team, and member checking were used to generate the top four policy options: a conditional use ordinance, a community benefits agreements, a dispersal ordinance, and a staple foods ordinance. Results: There was strong support for policies that encourage dollar stores to better align with community priorities (e.g., improving store cleanliness and appearance, increasing availability of healthy foods), as opposed to closing or banning dollar stores entirely. There was also strong support for policies that would empower communities to participate in determining the role of dollar stores in their neighborhoods, for example through a conditional use ordinance or community benefits agreement. Key concerns included policy enforcement, given the additional funding required, and current limited capacity at the city government level. Strategies to address such challenges were generated including implementing business licenses at the city level, linking new ordinances to dollar store leases and permits, and encouraging dollar store participation in federal and local programs to more feasibly stock healthier food items (e.g., fresh produce). Dissatisfaction was expressed regarding a lack of policy options to address the existing dollar stores, not just new dollar stores entering the City. Discussion: This study is the first of its kind to assess community support for dollar store policies at the local level, and serves to inform policies that improve dollar stores. A report of these findings was provided to Baltimore City Council to inform new, community-supported dollar store policies.

Children's physical activity in family child care homes: Influence of quality status, environment and policy features, and child characteristics.

BACKGROUND: About half of preschool-age children are not meeting recommendations of 15 min/h of physical activity (PA), and nearly one out of seven children between the ages of 2-5 years are living with obesity. Furthermore, children attending family child care homes (FCCHs), compared with larger child care centers, engage in lower levels of PA and appear to be at a higher risk of obesity. Therefore, examining PA and multi-level factors that influence PA in children who attend FCCHs is essential. METHODS: The Childcare Home Eating and Exercise Study (CHEER) examined PA behaviors of 184 children enrolled in 56 FCCHs and FCCH quality status, environment and policy features, and child characteristics. PA was assessed by accelerometer, and FCCH environment and policy was assessed via structured observation. Multiple linear regression was used to model associations between school day total PA and FCCH quality status, environment and policy features, and child characteristics. RESULTS: Child participants were on average 3.1 years old; participants were non-Hispanic Black (47.3%), Non-Hispanic White (42.9%), other race/ethnicity (7.1%), and Hispanic/Latin (2.7%). Children in FCCH settings participated in 11.2 min/h of total PA, which is below the recommended 15 min per hour. The PA environment and policy observation yielded a score of 11.8 out of a possible 30, which is not supportive of child PA. There were no associations between total child PA and FCCH quality status, environment and policy features, and child characteristics in these FCCH settings. CONCLUSIONS: This study was unique in its examination of PA and a comprehensive set of factors that may influence PA at the individual, organizational, environmental, and policy levels in a diverse sample of children attending FCCHs in South Carolina. Additional research is needed to better understand how to increase children's physical activity while they are in the FCCH setting. This research should use multi-level frameworks and apply longitudinal study designs.

Height and Weight Measurement and Communication With Families in Head Start: Developing a Toolkit and Establishing Best Practices.

Background: Head start (HS) programs are required to collect children's height and weight data. Programs also communicate these results to families. However, no standardized protocol exists to guide measurements or communicate results. The purpose of this article was to describe the development of a measurement toolkit and best practices for communication. Methods: HS programs contributed to the development and pilot testing of a toolkit for HS staff to guide child measurement. We used a three-phase iterative approach and qualitative methods to develop and test the toolkit, which included a video and handout. In addition, we convened an advisory group to draft best practices for communication. Results: HS program staff appreciated the toolkit materials for their simplicity and content. The advisory group highlighted the importance of weight stigma and the need to be cautious in the way that information is communicated to families. The group underscored the role of emphasizing health behavior change, instead of focusing solely on BMI. Best practices were organized into (1) Policies and procedures for communicating screening results, (2) training for HS program staff to improve communication related to screening and health behaviors, and (3) other best practices to promote health behaviors and coordinate data systems. Conclusions: Our toolkit can improve anthropometric measurements of HS to ensure that potential surveillance data are accurate. Advisory group best practices highlight opportunities for HS to develop and implement policies, procedures, and trainings across the country to improve communication with HS families. Future research should test the implementation of these best practices within HS.

Reported Adherence to the 10 Steps to Successful Breastfeeding Is Higher Among Baby-Friendly Hospitals.

OBJECTIVE: Quantify and compare reported breastfeeding support practices in the Baby-Friendly Hospital Initiative (BFHI) and non-BFHI facilities. DESIGN: Cross-sectional survey. SETTING: Regions across the US. PARTICIPANTS: Two hundred and eighty-six facilities (110 BFHI and 176 non-BFHI) selected by a stratified (by hospital size) random sample of 50% BFHI and 50% non-BFHI facilities. INTERVENTION: Emailed survey Fall 2019 through Spring 2020. MAIN OUTCOME MEASURE: Reported adherence to the 10 Steps to Successful Breastfeeding. ANALYSIS: Wilcoxon rank sum test with continuity correction, Pearson chi-square test of independence, and Fisher's exact test. RESULTS: Baby-Friendly Hospital Initiative facilities were more likely to report adherence to the 10 Steps to Successful Breastfeeding. Only 2 of the reported steps were not significantly different: immediate postnatal care and responsive feeding. CONCLUSIONS AND IMPLICATIONS: This research supports breastfeeding support interventions within hospitals as both BFHI and non-BFHI facilities have room for improvement. Interventions targeting non-BFHI facilities are an opportunity to close the disparity in breastfeeding care.

Policies, Practices, and Environmental Characteristics Among Family Child Care Homes in South Carolina.

Background: Child care program requirements have adopted nutrition and physical activity standards to address childhood obesity, but few studies have examined the effects of these standards in family child care homes (FCCHs). Methods: In a cross-sectional study (2017-2019), the Childcare Home Eating and Exercise study examined self-reported provider characteristics and observed policies and practices related to physical activity and nutrition in FCCHs in South Carolina. Two-sample t-tests were used to compare observed nutrition and physical activity policy, practice, and environment scores in child care homes that participated in versus did not participate in the state's ABC Quality program, which is designed to improve child care and includes policies and practices intended to increase physical activity levels and improve diet quality. Results: Environment and Policy Assessment and Observation results for nutrition and physical activity were 7.5 out of 21 and 11.8 out of 30, respectively, indicating much room for improvement in nutrition and physical activity policies, practices, and environment in South Carolina FCCHs. The study found one difference between FCCHs that did and did not participate in the ABC Quality program; non-ABC homes provided more time for physical activity. Conclusions: Future research should develop ways to strengthen the guidelines and improve the implementation of obesity prevention standards in FCCHs.

Cannabis Smoking and Storage within the Home: A Cross-Sectional Survey of Pregnant Women and Women with Young Children.

INTRODUCTION: Child cannabis exposure has increased in recent years - a trend that parallels changes to state cannabis legality. Yet, little is known about household cannabis practices. To address this gap, this study aimed to examine household cannabis practices among a geographically diverse sample of US women of reproductive age. We also examined variations in household cannabis practices across state cannabis policies. METHODS: The study sample (N = 114) included pregnant women and women with young children in their home. In Spring of 2021, 114 women completed a single cross-sectional online survey that included demographic information and asked about cannabis use, household cannabis practices (e.g., indoor smoking, cannabis storage), and cannabis use risk perceptions. We analyzed data using descriptive statistics and Fisher's exact tests. RESULTS: A total of 69.23% of women reported cannabis products were allowed in their home and 42.98% reported that smoking cannabis was permitted in one or more rooms. Self-reported cannabis use, as well as partner or family cannabis use were significantly associated with allowing cannabis products in the home (p < 0.001). There was no difference in cannabis smoking rules among women in states with legalized cannabis (47.73%) than those in states that had yet to legalize (40.00%), p = 0.339. CONCLUSIONS: Amid rapidly shifting cannabis policies, further examination of household cannabis practices is needed. Public heath efforts should focus on reducing in-home cannabis exposure and promote safe storage and smoking practices for families with children in the home.

Bayesian kernel machine regression for count data: modelling the association between social vulnerability and COVID-19 deaths in South Carolina.

The COVID-19 pandemic created an unprecedented global health crisis. Recent studies suggest that socially vulnerable communities were disproportionately impacted, although findings are mixed. To quantify social vulnerability in the US, many studies rely on the Social Vulnerability Index (SVI), a county-level measure comprising 15 census variables. Typically, the SVI is modelled in an additive manner, which may obscure non-linear or interactive associations, further contributing to inconsistent findings. As a more robust alternative, we propose a negative binomial Bayesian kernel machine regression (BKMR) model to investigate dynamic associations between social vulnerability and COVID-19 death rates, thus extending BKMR to the count data setting. The model produces a 'vulnerability effect' that quantifies the impact of vulnerability on COVID-19 death rates in each county. The method can also identify the relative importance of various SVI variables and make future predictions as county vulnerability profiles evolve. To capture spatio-temporal heterogeneity, the model incorporates spatial effects, county-level covariates, and smooth temporal functions. For Bayesian computation, we propose a tractable data-augmented Gibbs sampler. We conduct a simulation study to highlight the approach and apply the method to a study of COVID-19 deaths in the US state of South Carolina during the 2021 calendar year.

Breastfeeding and less healthy beverage intake during the first year of life.

BACKGROUND AND OBJECTIVES: Breastfeeding during infancy is associated with healthier beverage consumption later in childhood, but little is known about this relation during infancy. This was a longitudinal study of breastfeeding and less healthy beverage consumption during the first year of life, in a birth cohort study conducted 2013-2018 in the Southeastern United States (n = 666). METHODS: We estimated monthly rates of 100% juice and sugar-sweetened beverage (SSB) consumption comparing infants who were exclusively or partially breastfed, versus those who were not, in multivariable adjusted models. RESULTS: Mothers had a median age of 26.5 years, 71% identified as Black/African-American, and 61% reported household incomes <$20 000/year. The prevalence of any breastfeeding during the first month was 78.2% and 18.7% at month 12. By age 12 months, infants consumed juice a mean (SD) 9.1 (10.1) times per week and SSBs 3.6 (9.5) times per week. Breastfed infants had a 38% lower incidence rate of weekly juice consumption (95% CI 52%, 15%, p = 0.003) and a 57% lower incidence rate of weekly SSB consumption (95% CI 76%, 22%, p = 0.006), compared with infants who were not breastfed. CONCLUSIONS: Research on early-life correlates of dietary health should focus on the earliest beverages, given evidence that consumption of obesogenic beverages may begin prior to age 1 year.

Associations of Plastic Bottle Exposure with Infant Growth, Fecal Microbiota, and Short-Chain Fatty Acids.

BACKGROUND/OBJECTIVES: Murine models show that plastics, via their chemical constituents (e.g., phthalates), influence microbiota, metabolism, and growth. However, research on plastics in humans is lacking. Here, we examine how the frequency of plastic bottle exposure is associated with fecal microbiota, short-chain fatty acids (SCFAs), and anthropometry in the first year of life. SUBJECTS/METHODS: In 442 infants from the prospective Nurture birth cohort, we examined the association of frequency of plastic bottle feeding at 3 months with anthropometric outcomes (skinfolds, length-for-age, and weight-for-length) at 12 months of age and growth trajectories between 3 and 12 months. Furthermore, in a subset of infants (n = 70) that contributed fecal samples at 3 months and 12 months of age, we examined plastic bottle frequency in relation to fecal microbiota composition and diversity (measured by 16S rRNA gene sequencing of V4 region), and fecal SCFA concentrations (quantified using gas chromatography mass spectrometry). RESULTS: At 3 months, 67.6% of infants were plastic bottle fed at every feeding, 15.4% were exclusively breast milk fed, and 48.9% were exclusively formula fed. After adjustment for potential confounders, infants who were plastic bottle fed less than every feeding compared to those who were plastic bottle fed at every feeding at 3 months did not show differences in anthropometry over the first 12 months of life, save for lower length-for-age z-score at 12 months (adjusted ß = -0.45, 95% CI: -0.76, -0.13). Infants who were plastic bottle fed less than every feeding versus every feeding had lower fecal microbiota alpha diversity at 3 months (mean difference for Shannon index: -0.59, 95% CI: -0.99, -0.20) and lower isovaleric acid concentration at 3 months (mean difference: -2.12 µmol/g, 95% CI: -3.64, -0.60), but these results were attenuated following adjustment for infant diet. Plastic bottle frequency was not strongly associated with microbiota diversity or SCFAs at 12 months after multivariable adjustment. Frequency of plastic bottle use was associated with differential abundance of some bacterial taxa, however, significance was not consistent between statistical approaches. CONCLUSIONS: Plastic bottle frequency at 3 months was not strongly associated with measures of adiposity or growth (save for length-for-age) over the first year of life, and while plastic bottle use was associated with some features of fecal microbiota and SCFAs in the first year, these findings were attenuated in multivariable models with infant diet. Future research is needed to assess health effects of exposure to other plastic-based products and objective measures of microplastics and plastic constituents like phthalates.

Interventions to prevent obesity in Latinx children birth to 6 years globally: a systematic review.

OBJECTIVE: To conduct a systematic review of obesity prevention interventions in Latinx children ages birth to 6 years published in any language from 2010-2020. DESIGN: We used PubMed, ERIC, PsycINFO, Scopus, Scientific Electronic Library Online (SciELO) and Google Scholar databases to conduct a search on May 1 2020, January 1 2021 and November 1 2022. We included randomised controlled trials, quasi-experimental studies and non-randomised interventions with a control or comparison group that reported measures of adiposity. SETTING: Interventions taking place in the United States, Latin America or the Caribbean. PARTICIPANTS: Latinx children ages birth to 6 years. RESULTS: Of 8601 unique records identified, forty manuscripts about thirty-nine unique studies describing thirty distinct interventions in the United States and nine interventions in Latin America and the Caribbean met our inclusion criteria. Interventions were primarily based in early care and education centres (n 13) or combined home settings, for example home and community (n 7). Randomised interventions taking place in community or home settings were more likely to report significant reductions in adiposity or weight-related outcomes compared to other settings. Using the Cochrane risk of bias tools for randomised and non-randomised studies, we judged thirty-eight randomised trials and nine non-randomised interventions to have a high or unclear risk of bias. CONCLUSIONS: The results highlight a need for more rigorous designs and more effective intervention strategies in Latinx children at risk for having overweight and obesity. Registered with the PROSPERO database for systematic reviews under registration number CRD42020161339.

Young Children's Dietary Quality in Family Child Care and in Their Own Home.

BACKGROUND: Some evidence suggests that children may have higher quality dietary intake in early care and education settings, compared with their respective homes, but no studies have explored these differences among children in less formal family child care. OBJECTIVE: The purpose of this study was to compare dietary quality via the Healthy Eating Index 2015 among children in family child care and in their own home. DESIGN: This was a cross-sectional analysis of baseline dietary intake data from the Childcare Home Eating and Exercise Research study, a natural experiment, using directly observed dietary data in child care and 24-hour recall data in homes among children in South Carolina. PARTICIPANTS/SETTING: Participants were 123 children in 52 family child-care homes between 2018 and 2019. MAIN OUTCOME MEASURE: The main outcome was total and component Healthy Eating Index 2015 scores. STATISTICAL ANALYSIS: The analysis was a hierarchical linear regression of children nested within family child care homes adjusting for child, provider, facility, and parent characteristics, including sex, age, race, ethnicity, and income, with parameters and SEs estimated via bootstrap sampling. RESULTS: Children had a mean ± SD Healthy Eating Index 2015 score of 60.3 ± 12.1 in family child-care homes and 54.3 ± 12.9 in their own home (P < 0.001). In adjusted analysis and after accounting for clustering of children in family child care homes, total HEI-2015 scores were lower at home than in care (ß = -5.18 ± 1.47; 95% CI -8.05 to -2.30; P = 0.003). CONCLUSIONS: Children had healthier dietary intake in family child-care homes vs their respective homes.

A multivariate spatiotemporal model for tracking COVID-19 incidence and death rates in socially vulnerable populations.

Recent studies have produced inconsistent findings regarding the association between community social vulnerability and COVID-19 incidence and death rates. This inconsistency may be due, in part, to the fact that these studies modeled cases and deaths separately, ignoring their inherent association and thus yielding imprecise estimates. To improve inferences, we develop a Bayesian multivariate negative binomial model for exploring joint spatial and temporal trends in COVID-19 infections and deaths. The model introduces smooth functions that capture long-term temporal trends, while maintaining enough flexibility to detect local outbreaks in areas with vulnerable populations. Using multivariate autoregressive priors, we jointly model COVID-19 cases and deaths over time, taking advantage of convenient conditional representations to improve posterior computation. As such, the proposed model provides a general framework for multivariate spatiotemporal modeling of counts and rates. We adopt a fully Bayesian approach and develop an efficient posterior Markov chain Monte Carlo algorithm that relies on easily sampled Gibbs steps. We use the model to examine incidence and death rates among counties with high and low social vulnerability in the state of Georgia, USA, from 15 March to 15 December 2020.

A longitudinal study of infant 24-hour sleep: comparisons of sleep diary and accelerometer with different algorithms.

STUDY OBJECTIVES: To longitudinally compare sleep/wake identification and sleep parameter estimation from sleep diaries to accelerometers using different algorithms and epoch lengths in infants. METHODS: Mothers and other caregivers from the Nurture study (southeastern United States, 2013-2018) reported infants' 24-hour sleep in sleep diaries for 4 continuous days, while infants concurrently wore accelerometers on the left ankle at 3, 6, 9, and 12 months of age. We applied the Sadeh, Sadeh Infant, Cole, and Count-scaled algorithm to accelerometer data at 15 and 60 seconds epochs. For sleep/wake identification, we assessed agreement by calculating epoch-by-epoch percent agreement and kappas. We derived sleep parameters from sleep diaries and accelerometers separately and evaluated agreement using Bland-Altman plots. We estimated longitudinal trajectories of sleep parameters using marginal linear and Poisson regressions with generalized estimation equation estimation. RESULTS: Among the 477 infants, 66.2% were black and 49.5% were female. Agreement for sleep/wake identification varied by epoch length and algorithm. Relative to sleep diaries, we observed similar nighttime sleep offset, onset, and total nighttime sleep duration from accelerometers regardless of algorithm and epoch length. However, accelerometers consistently estimated about 1 less nap per day using the 15 seconds epoch, 70 and 50 minutes' shorter nap duration per day using the 15 and 60 seconds epoch, respectively; but accelerometers estimated over 3 times more wake after nighttime sleep onset (WASO) per night. Some consistent sleep parameter trajectories from 3 to 12 months from accelerometers and sleep diaries included fewer naps and WASOs, shorter total daytime sleep, longer total nighttime sleep, and higher nighttime sleep efficiency. CONCLUSIONS: Although there is no perfect measure of sleep in infancy, our findings suggest that a combination of accelerometer and diary may be needed to adequately measure infant sleep.

Supporting breastfeeding equity: A cross-sectional study of US birthing facility administrators.

Disparities in breastfeeding have continued in the United States (US) despite efforts to increase breastfeeding rates. Hospitals are in a unique position to enable breastfeeding and help reduce disparities; however, it is unclear whether hospital administration is supportive of breastfeeding equity practices or plans. This study aimed to assess birthing facility plans to support breastfeeding among women of low income and women of color across the US. We administered electronic surveys to 283 US hospital administrators between 2019 and 2020. We assessed whether facilities had a plan in place to support breastfeeding among women of low income and women of color. We assessed associations between Baby-Friendly Hospital Initiative (BFHI) status and having a plan in place. We examined reported activities provided through open-ended responses. Fifty-four percent of facilities had a plan in place to support breastfeeding among women of low income and 9% had a plan in place to support breastfeeding among women of color. Having a plan was not associated with having a BFHI designation. A lack of plan to specifically help those with the lowest rates of breastfeeding may perpetuate rather than reduce inequities. Providing anti-racism and health equity training to healthcare administrators may help birthing facilities achieve breastfeeding equity.

Adherence to Healthy Default Beverage Laws for Children's Meals in 3 U.S. Cities.

INTRODUCTION: Healthy default beverage laws are relatively new interventions designed to improve the healthfulness of children's meals in restaurants. In this study, researchers assessed adherence to healthy default beverage laws among children's meals ordered online in Los Angeles (California statewide law effective from September 2018), Baltimore (effective from April 2018), and New York City (effective from April 2019) compared with that in Boston, where no law existed. METHODS: Between November and December 2020, researchers ordered children's meals from online ordering platforms (e.g., GrubHub, Uber Eats) from the top-grossing restaurant chains in each location (n=337 meal orders from 106 restaurants), coded these meals using four successively stricter definitions of adherence to the default beverage laws in each respective jurisdiction, and then applied each law to data collected in Boston to simulate different policy scenarios in a city with no such law. The team analyzed these data in late 2021. RESULTS: Differences in adherence existed across jurisdictions, with 15% adherent in Los Angeles, 30% in Baltimore, and 43% in New York City, compared with 7%-30% in Boston, using the most lenient definition of adherence. Fewer than 3% of all meals adhered to laws when applying the strictest definition of adherence. CONCLUSIONS: Overall adherence was low and variable across jurisdictions. Adherence may be lower in jurisdictions with fewer allowable default beverages, although more research is needed to assess this potential causal relation. In addition to increased resources and support for restaurants, additional policy design considerations may be necessary to increase adherence to healthy default beverage laws.

Confirmatory factor analysis of the infant feeding styles questionnaire in infant and toddler child care teachers.

Early childhood is a critical time of development. Caregiver feeding style, including of child care providers, has been implicated in influencing children's food preferences and obesity. A better understanding of the determinants of child care providers' feeding styles is important as children increasingly receive daily care and nutrition in child care centers. Valid instruments to measure provider feeding styles specifically for infants are needed. This study's objective was to validate, for use with child care providers, the Infant Feeding Styles Questionnaire (IFSQ), an instrument originally designed for parents of infants and toddlers. Study data came from the Baby Nutrition and Physical Activity Self-Assessment for Child Care (Baby NAP SACC) study, a cluster randomized trial, designed to evaluate the efficacy of a six-month-long obesity prevention intervention in child care centers. The IFSQ was administered at baseline and follow-up to infant and toddler teacher participants (n = 244). Scores for baseline IFSQ teacher responses (n = 219) were calculated for the 13 sub-constructs across the five feeding styles. We tested reliability with Cronbach's alpha coefficients and performed confirmatory factor analysis to examine factor loadings and goodness of fit characteristics, modifying constructs to achieve best fit. Reliability coefficients ranged from 0.42 to 0.82 for all sub-constructs. Goodness of fit indices for the final model ranged from: root mean square error of approximation (RMSEA) 0.000-0.082; comparative fit index (CFI) 0.943-1.000; Tucker-Lewis index (TLI) 0.906-1.000; and standardized root mean squared error (SRMR) 0.006-0.130. In a sample of racially diverse infant and toddler child care teachers, final models of the laissez-faire, pressuring, and responsive constructs and the restrictive-diet quality sub-construct performed well. Overall model fit was poor for the indulgence construct, but good for solely its corresponding belief items.

A review of state regulations for child care: Preventing, recognizing and reporting child maltreatment.

BACKGROUND: Prior to the COVID-19 pandemic, nearly 60% of children under 5 years of age were cared for in out-of-home child care arrangements in the United States. Thus, child care provides an opportunity to identify and address potential child maltreatment. However, during the pandemic, rates of reporting child maltreatment decreased-likely because children spent less time in the presence of mandated reporters. As children return to child care, states must have regulations in place to help child care providers prevent, recognize and report child maltreatment. However, little is known about the extent to which state regulations address child maltreatment. Therefore, the purpose of this cross-sectional study was to assess state regulations related to child maltreatment and compare them to national standards. METHOD: We reviewed state regulations for all 50 states and the District of Columbia for child care centres ('centres') and family child care homes ('homes') through 31 July 2021 and compared these regulations to eight national health and safety standards on child maltreatment. We coded regulations as either not meeting, partially meeting or fully meeting each standard. RESULTS: Three states (Colorado, Utah and Washington) had regulations for centres, and one state (Washington) had regulations for homes that at least partially met all eight national standards. Nearly all states had regulations consistent with the standards requiring that caregivers and teachers are mandated reporters of child maltreatment and requiring that they be trained in preventing, recognizing and reporting child maltreatment. One state (Hawaii) did not have regulations consistent with any of the national standards for either centres or homes. CONCLUSIONS: Generally, states lacked regulations related to the prevention, recognition and reporting of child maltreatment for both centres and homes. Encouraging states to adopt regulations that meet national standards and further exploring their impact on child welfare are important next steps.