Changes in Household Challenges and Subsequent Child Welfare Report.

INTRODUCTION: Preventing child maltreatment and reducing adverse childhood experiences is critical for improving adult health. To inform prevention efforts, it is necessary to move beyond static risk models and instead model the dynamic changes in household challenges during the prebirth and early childhood periods. This study examined the effect of changes in the number of household challenges from prebirth (12 months before birth of a child) to early childhood (3 years after birth) period on the risk of a child maltreatment report by age 3 years. METHODS: This retrospective cohort study linked data from the Alaska 2009-2011 Pregnancy Risk Assessment Monitoring System, its 3-year follow-up survey, and administrative records through 2019. Participants were 1,699 birthing parents. Latent class analyses identified prebirth and early childhood low- and high-challenge respondent groups on the basis of the level of reported household challenges. The authors then modeled the relationships between group transition membership and the risk of maltreatment using latent transition analysis. Analyses were conducted in 2021. RESULTS: Households transitioning from a high-challenge-prebirth status to a low-challenge-early-childhood status had a lower predicted risk for child services report than households remaining in the high-challenges group. Transitioning from low- to high-challenges status predicted the highest risk for child services report than that of all other groups. CONCLUSIONS: To reduce the risk of child maltreatment and subsequent adverse childhood experiences, healthcare providers should screen parents for the presence of household challenges during both pregnancy and early childhood and connect patients to resources targeted at reducing those challenges and providing continuous familial support.

Alaska's Play Every Day Campaign Encourages Parents to Serve Healthy Drinks to Young Children.

BACKGROUND: Sugary drink consumption by young children is a public health concern. The State of Alaska, partnering with the Alaska Native Tribal Health Consortium, implemented the Play Every Day social marketing campaign in 2019-2021 to encourage parents to serve healthy drinks to young children. The campaign's intended audience was parents who experience disproportionately poor nutrition outcomes: Alaska Native people, those living in rural communities, and those with low incomes and/or educational attainment. We described campaign development, implementation, and performance. METHOD: Parents from the identified disproportionately affected populations participated in formative research. Campaign awareness and engagement questions were added to Alaska's child health surveillance system. Regression models assessed associations between campaign exposure and outcomes. RESULTS: The sample included 476 Alaska mothers of 3-year-old children. Of the 34% who reported seeing the campaign, 21% said they changed drinks served to their child because of the campaign. Campaign awareness, engagement, and reported changes in drinks given to children because of the campaign were greater among Alaska Native mothers than White mothers. Among all mothers, those who said the campaign gave them new information or that they shared the campaign had 7 to 8 times greater odds for reporting changes in behavior than those not engaged with the campaign. IMPLICATIONS FOR PRACTICE: Social marketing campaigns that encourage parents to serve healthy drinks to young children may change behavior. Resources should be systematically dedicated to research, implementation, and evaluation focused on specific populations. Partnering with trusted community-serving organizations likely improves outcomes in disproportionately affected populations.

Investigating the Decline of Fetal and Infant Mortality Rates in Alaska During 2010 and 2011.

INTRODUCTION: The U.S. infant mortality rate has been steadily declining since 2007. Although the downward trend has been notable in Alaska since 2006 when the rate was 6.9 infant deaths per 1000 live births, a dramatic drop in infant mortality occurred in 2010 and 2011 when the infant mortality rate fell to 3.8 infant deaths per 1000 live births during both years. The purpose of this study was to investigate the sudden decrease in fetal and infant mortality rates (FIMR) using the perinatal periods of risk (PPOR) method, an approach that has not been used previously in Alaska. METHODS: The study was conducted for 251 fetal and infant deaths in 2004-2006, 265 deaths in 2007-2009, and 129 deaths in 2010-2011. Data were stratified by Alaska Native (AN) and White maternal race and urban/rural residence. RESULTS: Among both urban and rural White women, the rate ratios (RR) for FIMRs between the earlier and later time periods were not significantly different. The postneonatal mortality rate (PNMR) among AN infants living in rural areas decreased significantly (RR 0.40; 95 % confidence interval 0.21-0.76) between 2007-2009 and 2010-2011. An unexplained increase in sudden unexplained infant death was noted in 2009, followed by a precipitous decrease in 2010-2011. No other unusual distribution of the cause specific mortality rates was observed. DISCUSSION: The decrease in the Alaska Native FIMR might have been due to focused efforts for preventing postneonatal sleep associated deaths. Education for prevention of sleep related deaths, particularly in rural communities, is necessary to maintain Alaska's low PNMR.

Risk factors for obesity at age 3 in Alaskan children, including the role of beverage consumption: results from Alaska PRAMS 2005-2006 and its three-year follow-up survey, CUBS, 2008-2009.

BACKGROUND: Prenatal and early life risk factors are associated with childhood obesity. Alaska Native children have one of the highest prevalences of childhood obesity of all US racial/ethnic groups. METHODS: Using the Pregnancy Risk Assessment Monitoring System (PRAMS) and the follow-up survey at 3 years of age (CUBS), we evaluated health, behavioral, lifestyle and nutritional variables in relation to obesity (95th percentile for body mass index (BMI)) at 3 years of age. Multivariate logistic regression modeling was conducted using Stata 12.0 to evaluate independent risk factors for obesity in non-Native and Alaska Native children. RESULTS: We found an obesity prevalence of 24.9% in all Alaskan and 42.2% in Alaska Native 3 year olds. Among Alaska Native children, obesity prevalence was highest in the Northern/Southwest part of the state (51.6%, 95%CI (42.6-60.5)). Independent predictive factors for obesity at age 3 years in Alaska non-Native children were low income (<$10,000 in the year before the child was born (OR 3.94, 95%CI 1.22--17.03) and maternal pre-pregnancy obesity (OR 2.01, 95%CI 1.01-4.01) and longer duration of breastfeeding was protective (OR 0.95, 95%CI 0.91-0.995). Among Alaska Native children, predictive factors were witnessing domestic violence/abuse as a 3 year-old (OR 2.28, 95%CI 1.17-7.60). Among obese Alaska Native children, there was an increased daily consumption of energy dense beverages in the Northern/Southwest region of the state, which may explain higher rates of obesity in this part of the state. CONCLUSIONS: The high prevalence of obesity in Alaska Native children may be explained by differences in lifestyle patterns and food consumption in certain parts of the state, specifically the Northern/Southwest region, which have higher consumption of energy dense beverages.

Identifying risk factors for child maltreatment in Alaska: a population-based approach.

BACKGROUND: Child maltreatment has been linked to multiple negative health outcomes and many leading causes of death. Statewide population-based evaluations are needed to identify high-risk populations early in life for targeted interventions. PURPOSE: To assess the utility of combining Pregnancy Risk Assessment Monitoring System (PRAMS) data with child protective services (CPS) records to identify risk factors associated with Protective Services Reports (PSR) suggestive of child maltreatment. METHODS: This was a retrospective population-based cohort study conducted in the spring of 2010 using weighted survey data from Alaska PRAMS for birth years 1997-1999. PRAMS responses were linked with CPS records for the sampled child. The outcome of interest was any PSR made to CPS after the survey was returned through 48 months after birth. Validation of the PRAMS data set occurred through direct comparison between the total population and PRAMS weighted sample for birth certificate factors. Multivariate logistic regression models were constructed to identify risk groups. RESULTS: In the final multivariate model among the main effect variables, three of the top five strongest associated factors were derived all or in part from PRAMS. Public aid as a source of income had a significant interaction with Alaska Native status, and among Alaska non-Natives had an AOR of 3.37 (95% CI=2.2, 5.1). Six significant modifiable factors were identified in the multivariate model. Three quarters (75%) of the maltreatment cases occurred among children with two or more of these factors, despite being found in about one third (32%) of the total population. CONCLUSIONS: Although birth certificates remained a valuable source of risk factor information for child maltreatment, PRAMS identified additional risk factors not available from birth certificates.