Neonatal inflammation and its association with asthma and obesity in late childhood among individuals born extremely preterm.

BACKGROUND: Asthma and obesity are frequent outcomes among individuals born extremely preterm and are associated with decreased lifespan. Neonatal inflammation is associated with chronic neurodevelopmental disorders; however, it is less studied in association with other later childhood chronic disorders in this population. METHODS: Fourteen hospitals in 5 U.S. states enrolled 1506 infants born before 28 weeks of gestation in the Extremely Low Gestational Age Newborn cohort in 2004-2014. Neonatal blood spots were collected on postnatal days 1, 7, 14, 21, and 28, and used to measure 14 inflammation-related proteins. Associations were evaluated between high (top quartile) levels of proteins and two chronic health disorders at ages 10 and 15 years: physician-diagnosed asthma and obesity (body mass index ≥95th percentile). RESULTS: Few associations were found between high levels of 14 inflammation-related proteins, either on a single day or on multiple days, and either asthma or obesity. Similarly, few associations were found in analyses stratified by sex or presence/absence of prenatal inflammation. CONCLUSIONS: In extremely preterm newborns, systemic elevations of inflammation-related proteins during the neonatal period were not associated with childhood asthma and obesity outcomes at 10 or 15 years of age. IMPACT: In the large multi-center Extremely Low Gestational Age Newborn (ELGAN) cohort, sustained elevation of neonatal levels of inflammation-related proteins was not consistently associated with asthma or obesity outcomes at 10 or 15 years of age. This finding contrasts with reported associations of perinatal inflammation with obesity at 2 years and neurodevelopmental disorders at 2-15 years in the ELGANs, suggesting that unlike neurodevelopment, peripubertal obesity and asthma may be driven by later childhood exposures. Future research on perinatal mechanisms of childhood asthma and obesity should account for both fetal and later exposures and pathways in addition to inflammation at birth.

User-Centered Framework for Implementation of Technology (UFIT): Development of an Integrated Framework for Designing Clinical Decision Support Tools Packaged With Tailored Implementation Strategies.

BACKGROUND: Electronic health record-based clinical decision support (CDS) tools can facilitate the adoption of evidence into practice. Yet, the impact of CDS beyond single-site implementation is often limited by dissemination and implementation barriers related to site- and user-specific variation in workflows and behaviors. The translation of evidence-based CDS from initial development to implementation in heterogeneous environments requires a framework that assures careful balancing of fidelity to core functional elements with adaptations to ensure compatibility with new contexts. OBJECTIVE: This study aims to develop and apply a framework to guide tailoring and implementing CDS across diverse clinical settings. METHODS: In preparation for a multisite trial implementing CDS for pediatric overweight or obesity in primary care, we developed the User-Centered Framework for Implementation of Technology (UFIT), a framework that integrates principles from user-centered design (UCD), human factors/ergonomics theories, and implementation science to guide both CDS adaptation and tailoring of related implementation strategies. Our transdisciplinary study team conducted semistructured interviews with pediatric primary care clinicians and a diverse group of stakeholders from 3 health systems in the northeastern, midwestern, and southeastern United States to inform and apply the framework for our formative evaluation. RESULTS: We conducted 41 qualitative interviews with primary care clinicians (n=21) and other stakeholders (n=20). Our workflow analysis found 3 primary ways in which clinicians interact with the electronic health record during primary care well-child visits identifying opportunities for decision support. Additionally, we identified differences in practice patterns across contexts necessitating a multiprong design approach to support a variety of workflows, user needs, preferences, and implementation strategies. CONCLUSIONS: UFIT integrates theories and guidance from UCD, human factors/ergonomics, and implementation science to promote fit with local contexts for optimal outcomes. The components of UFIT were used to guide the development of Improving Pediatric Obesity Practice Using Prompts, an integrated package comprising CDS for obesity or overweight treatment with tailored implementation strategies. TRIAL REGISTRATION: ClinicalTrials.gov NCT05627011; https://clinicaltrials.gov/study/NCT05627011.

Comparison of Telemedicine Usage at Two Distinct Medicaid-Focused Pediatric Clinics.

Objective: To compare telemedicine versus office visit use at two Medicaid-focused pediatric primary care clinics. Methods: Retrospective cohort study from March 15, 2020 - March 15, 2021 at two Medicaid-focused pediatric primary care clinics. Site A and Site B care for different populations (Site B care for mostly immigrant families with preferred language Spanish). Outcomes included the percent of visits conducted through telemedicine and reason for visit. Descriptive statistics, univariable and multivariable mixed multilevel logistic regression, were used to assess relationship between patient demographics and telemedicine use. Results: Out of 17,142 total visits, 13% of encounters at Site A (n = 987) and 25% of encounters at Site B (n = 2,421) were conducted using telemedicine. Around 13.8% of well-child care (n = 1,515/10,997), 36.2% of mental health care (n = 572/1,581), and 25.0% of acute care/follow-up (n = 1,893/7,562) were telemedicine visits. After adjustment for covariates, there was no difference in odds of a patient having any telemedicine use by preferred language, sex, or payor. Patients 1-4 years of age had the lowest odds of telemedicine use. At Site A, patients who identified as Non-Hispanic Black (odds ratio [OR] = 0.33, 95% confidence interval [CI] = 0.24-0.45), Hispanic/Latinx (OR = 0.40, 95% CI = 0.24-0.66), or other race/ethnicity (OR = 0.35, 95% CI = 0.23-0.55) had lower odds of telemedicine use in comparison to Non-Hispanic White. Conclusions: Telemedicine was successfully accessed by Medicaid enrollees for different types of pediatric primary care. There was no difference in telemedicine use by preferred language and payor. However, differences existed by age at both sites and by race/ethnicity at one site. Future research should explore operational factors that improve telemedicine access for marginalized groups.

Timing and Magnitude of Peak Body Mass Index and Peak Weight Velocity in Infancy Predict Body Mass Index at 2 Years in a Retrospective Cohort of Electronic Health Record Data.

OBJECTIVES: To use growth data from electronic health records to describe and model infant growth (weight velocity and peak body mass index [pBMI]) characteristics. STUDY DESIGN: We extracted data from all children born at ≥34 weeks of gestation within one health system between 2014 and 2017. After excluding implausible growth data with an algorithm created for childhood growth, we estimated pBMI, peak weight and length velocities, and the odds of obesity at 2 years, adjusted for race, sex, ethnicity, and birth weight, by the magnitude of peak weight velocity, peak length velocity, and pBMI. RESULTS: Among 6425 children (41% White, 28% Black, 26% other race; 16% Hispanic ethnicity), mean pBMI was 17.9 kg/m2 (SD 1.5) and mean age at pBMI was 9.6 months (SD 2.7). Mean peak weight velocity was 949 g (SD 165) per 2 weeks, and the mean peak length velocity was 3.4 cm (SD 0.3) per 2 weeks. Children with obesity at 2 years (n = 931, 14.5%) were more likely to be Hispanic, had greater peak weight and peak length velocities, and had 2 kg/m2 greater magnitude of pBMI than children without obesity. For each unit increase in pBMI, children had more than 4 times greater odds of obesity at age 2 years. CONCLUSIONS: In a large sample of infants with clinical growth data tracked via electronic health records, we found associations between the magnitude and timing of peak infant BMI and obesity at 2 years of age.

Growth During Infancy After Extremely Preterm Birth: Associations with Later Neurodevelopmental and Health Outcomes.

OBJECTIVE: To evaluate associations between changes in weight, length, and weight/length ratio during infancy and outcomes later in life among individuals born extremely preterm. STUDY DESIGN: Among participants in the Extremely Low Gestational Age Newborn (ELGAN) study, we measured weight and length at discharge from the neonatal intensive care unit (NICU) and at age 2 years and evaluated neurocognitive, psychiatric, and health outcomes at age 10 years and 15 years. Using multivariable logistic regression, we estimated associations between gains in weight, length, and weight/length ratio z-scores between discharge and 2 years and outcomes at 10 and 15 years. High gain was defined as the top quintile of change; low gain, as the bottom quintile of change. RESULTS: High gains in weight and weight/length were associated with greater odds of obesity at 10 years, but not at 15 years. These associations were found only for females. High gain in length z-score was associated with lower odds of obesity at 15 years. The only association found between high gains in growth measures and more favorable neurocognitive or psychiatric outcomes was between high gain in weight/length and lower odds of cognitive impairment at age 10 years. CONCLUSIONS: During the 2 years after NICU discharge, females born extremely preterm with high gains in weight/length or weight have greater odds of obesity at 10 years, but not at 15 years. Infants with high growth gains in the 2 years after NICU discharge have neurocognitive and psychiatric outcomes in middle childhood and adolescence similar to those of infants with lower gains in weight and weight/length.

The Role of Primary Care in Advancing Civic Engagement and Health Equity: A Conceptual Framework.

Policy Points Health and civic engagement are reciprocally and longitudinally linked: Poor health is associated with less civic engagement. Well-established social drivers of health and health inequality such as inadequate access to health care, poverty, racism, housing instability, and food insecurity are also drivers of lower civic engagement. A robust primary care system can play a key role in advancing civic engagement (e.g., voting, volunteerism, community service, and political involvement) at the population level but has received little attention. Policy and practice solutions at the individual and structural levels should support and leverage potential synergies among health equity, civic engagement, and primary care. CONTEXT: Health and civic engagement are linked. Healthier people may be able to participate more fully in civic life, although those with poorer health may be motivated to address the roots of their health challenges using collective action. In turn, civically active people may experience better health, and societies with more equitable health and health care may experience healthier civic life. Importantly, a robust primary care system is linked to greater health equity. However, the role of primary care in advancing civic engagement has received little study. METHODS: We synthesize current literature on the links among health, civic engagement, and primary care. We propose a conceptual framework to advance research and policy on the role of primary care in supporting civic engagement as a means for individuals to actualize their health and civic futures. FINDINGS: Current literature supports relationships between health equity and civic engagement. However, this literature is primarily cross-sectional and confined to voting. Our integrative conceptual framework highlights the interconnectedness of primary care structures, health equity, and civic engagement and supports the crucial role of primary care in advancing both civic and health outcomes. Primary care is a potentially fruitful setting for cultivating community and individual health and power by supporting social connectedness, self-efficacy, and collective action. CONCLUSIONS: Health and civic engagement are mutually reinforcing. Commonalities between social determinants of health and civic engagement constitute an important convergence for policy, practice, and research. Responsibility for promoting both health and civic engagement is shared by providers, community organizations, educators, and policymakers, as well as democratic and health systems, yet these entities rarely work in concert. Future work can inform policy and practice to bolster primary care as a means for promoting health and civic engagement.

Enhancing early autism prediction based on electronic records using clinical narratives.

Recent work has shown that predictive models can be applied to structured electronic health record (EHR) data to stratify autism likelihood from an early age (<1 year). Integrating clinical narratives (or notes) with structured data has been shown to improve prediction performance in other clinical applications, but the added predictive value of this information in early autism prediction has not yet been explored. In this study, we aimed to enhance the performance of early autism prediction by using both structured EHR data and clinical narratives. We built models based on structured data and clinical narratives separately, and then an ensemble model that integrated both sources of data. We assessed the predictive value of these models from Duke University Health System over a 14-year span to evaluate ensemble models predicting later autism diagnosis (by age 4 years) from data collected from ages 30 to 360 days. Our sample included 11,750 children above by age 3 years (385 meeting autism diagnostic criteria). The ensemble model for autism prediction showed superior performance and at age 30 days achieved 46.8% sensitivity (95% confidence interval, CI: 22.0%, 52.9%), 28.0% positive predictive value (PPV) at high (90%) specificity (CI: 2.0%, 33.1%), and AUC4 (with at least 4-year follow-up for controls) reaching 0.769 (CI: 0.715, 0.811). Prediction by 360 days achieved 44.5% sensitivity (CI: 23.6%, 62.9%), and 13.7% PPV at high (90%) specificity (CI: 9.6%, 18.9%), and AUC4 reaching 0.797 (CI: 0.746, 0.840). Results show that incorporating clinical narratives in early autism prediction achieved promising accuracy by age 30 days, outperforming models based on structured data only. Furthermore, findings suggest that additional features learned from clinician narratives might be hypothesis generating for understanding early development in autism.

Exploring the Feasibility and Acceptability of Providing Caregivers Who Formula-feed with Smaller Infant Bottles in a Primary Care Clinic.

OBJECTIVES: Larger bottle size is associated with faster weight gain in infants, but little is known about acceptability and feasibility of providing bottles in primary care clinics. METHODS: We randomized parent-infant dyads (N = 40) to receive a set of 4-ounce bottles or to continue using their own bottles. Demographic and anthropometric information were collected at enrollment and one follow-up visit 1-5 months later. The primary aim was to assess feasibility and acceptability of the intervention strategy. We compared components of bottle feeding, including usual bottle sizes used, number and volume of feeds with Wilcoxon rank-sum tests, and changes in weight-for-age and weight-for-length z-scores during the study period with t-tests, using p < 0.05 as an indicator of statistical significance. RESULTS: Of participants randomized to receive bottles, 90% were using the 4oz bottles at follow up. The intervention group reported a significantly lower median bottle size (4oz) than the control group (8oz) at follow up, and parents reported acceptability and continued use of the bottles. CONCLUSIONS FOR PRACTICE: An intervention to provide smaller bottles was feasible, mostly acceptable, resulted in lower median bottle size. Further research is needed to determine whether it represents a novel way to prevent rapid infant weight gain.

An Update on State Legislation Supporting Menstrual Hygiene Products in US Schools: A Legislative Review, Policy Report, and Recommendations for School Nurse Leadership.

Access to menstrual products is important to support adolescent health. Advocacy to increase access to menstrual products in schools is growing; however, ideal access requires policies that will require schools to support the menstrual health of menstruating students. We conducted a legislative review on the existence and status of state legislation related to the provision of menstrual products in US schools and categorized by state's political control (political party affiliation of governors and state legislature). Of 50 states and 6 territories, 21 had legislation to support menstrual products in schools, 7 had bills pending, 10 had bills failed, and 18 states had no policies introduced in the state legislature. States with Democrat control have significantly more menstrual product state laws compared to states with Republican control [z = 2.54, p = 0.01]. There is a need, especially in Republican states, to accelerate efforts to pass laws that will support menstrual product access in schools.

Time-Varying Associations between Food Insecurity and Infant and Maternal Health Outcomes.

BACKGROUND: Food insecurity (FI) is dynamic for families and adversely affects infant and maternal health. However, few studies have examined the longitudinal impact of FI on infant and maternal health. OBJECTIVES: We aimed to examine the relation between food insecurity in the first year of life and infant and maternal health outcomes. We hypothesized FI would be associated with poorer infant and maternal health outcomes. METHODS: We conducted a retrospective cohort study of 364 infants 12-15 months and their caregivers receiving care at a single primary care clinic. The exposure of interest was food insecurity measured during well-child checks using a validated 2-item screening tool. The primary outcome was infant weight-for-length z score. Secondary outcomes included infant log-transformed ferritin, infant hemoglobin, infant lead concentrations, and maternal depression, assessed by the Edinburgh Postnatal Depression Scale. Unadjusted and adjusted effects were estimated using generalized mixed linear models, and the linear effect of visit time was tested using likelihood ratios. RESULTS: In adjusted models, no overall association between FI and infant weight-for-length z score was observed; however, FI male infants had lower weight-for-length z scores than female infants (P = 0.05). FI infants had 14% lower log ferritin concentrations per month of exposure to FI. FI was positively associated with maternal depression (IRR 5.01 [95% CI 2.21-11.3]). CONCLUSIONS: Food insecurity can have longitudinal and demographically-varied associations with infant and maternal outcomes that warrant further exploration.

The Prenatal Neighborhood Environment and Geographic Hotspots of Infants with At-risk Birthweights in New York City.

Infants born with low or high ("at-risk") birthweights are at greater risk of adverse health outcomes across the life course. Our objective was to examine whether geographic hotspots of low and high birthweight prevalence in New York City had different patterns of neighborhood risk factors. We performed census tract-level geospatial clustering analyses using (1) birthweight prevalence and maternal residential address from an all-payer claims database and (2) domains of neighborhood risk factors (socioeconomic and food environment) from national and local datasets. We then used logistic regression analysis to identify specific neighborhood risk factors associated with low and high birthweight hotspots. This study examined 2088 census tracts representing 419,025 infants. We found almost no overlap (1.5%) between low and high birthweight hotspots. The majority of low birthweight hotspots (87.2%) overlapped with a socioeconomic risk factor and 95.7% overlapped with a food environment risk factor. Half of high birthweight hotspots (50.0%) overlapped with a socioeconomic risk factor and 48.8% overlapped with a food environment risk factor. Low birthweight hotspots were associated with high prevalence of excessive housing cost, unemployment, and poor food environment. High birthweight hotspots were associated with high prevalence of uninsured persons and convenience stores. Programs and policies that aim to prevent disparities in infant birthweight should examine the broader context by which hotspots of at-risk birthweight overlap with neighborhood risk factors. Multi-level strategies that include the neighborhood context are needed to address prenatal pathways leading to low and high birthweight outcomes.

A scalable computational approach to assessing response to name in toddlers with autism.

BACKGROUND: This study is part of a larger research program focused on developing objective, scalable tools for digital behavioral phenotyping. We evaluated whether a digital app delivered on a smartphone or tablet using computer vision analysis (CVA) can elicit and accurately measure one of the most common early autism symptoms, namely failure to respond to a name call. METHODS: During a pediatric primary care well-child visit, 910 toddlers, 17-37 months old, were administered an app on an iPhone or iPad consisting of brief movies during which the child's name was called three times by an examiner standing behind them. Thirty-seven toddlers were subsequently diagnosed with autism spectrum disorder (ASD). Name calls and children's behavior were recorded by the camera embedded in the device, and children's head turns were coded by both CVA and a human. RESULTS: CVA coding of response to name was found to be comparable to human coding. Based on CVA, children with ASD responded to their name significantly less frequently than children without ASD. CVA also revealed that children with ASD who did orient to their name exhibited a longer latency before turning their head. Combining information about both the frequency and the delay in response to name improved the ability to distinguish toddlers with and without ASD. CONCLUSIONS: A digital app delivered on an iPhone or iPad in real-world settings using computer vision analysis to quantify behavior can reliably detect a key early autism symptom-failure to respond to name. Moreover, the higher resolution offered by CVA identified a delay in head turn in toddlers with ASD who did respond to their name. Digital phenotyping is a promising methodology for early assessment of ASD symptoms.

Assessing Diet Quality in a Racially and Ethnically Diverse Cohort of Low-income Toddlers.

BACKGROUND: Low-income racially and ethnically diverse children are at higher risk for obesity compared with their counterparts; yet, few studies have assessed their diet quality. OBJECTIVE: The aim of the study was to evaluate the diet quality of a racially and ethnically diverse cohort of 2-year-olds using the Healthy Eating Index (HEI)-2010. METHODS: We used 24-hour dietary recall data from caregivers of toddlers (24-34 months) at 4 pediatric resident clinics that participated in the Greenlight Study to calculate compliance with the Dietary Guidelines for Americans (DGA) using total HEI score (range 0-100) and 12 component scores. RESULTS: Participants (n = 231) were mostly Hispanic (57%) or non-Hispanic black (27%) and from low-income families. Mean HEI-2010 score was 62.8 (standard deviation [SD] 10.5). Though not significant, Hispanics had the highest HEI score. Toddlers of caregivers without obesity, older than 35 years and born outside the United States had higher HEI scores. Most had high HEI component scores for dairy, fruit, and protein foods, but few achieved maximum scores, particularly for whole grains (13%), vegetables (10%), and fatty acid ratio (7%). CONCLUSIONS: Despite scores reflective of DGA recommendations for fruit, dairy and protein foods, toddlers in this diverse sample had low quality diets as measured by the HEI, driven largely by low component scores for whole grains, vegetables, and ratio of unsaturated to saturated fatty acids.

Defining picky eating and its relationship to feeding behaviors and weight status.

We assessed the individual constructs that comprise "picky eaters" and determined the relationship of each construct to parental perception of their child's weight status, parental pressure-to-eat, and the child's body mass index z-score (BMIz). We developed a questionnaire including 7 commonly used measures of picky eating, which was completed by parents of 2-8 year-olds in pediatric clinics. We performed exploratory factor analysis, confirmatory factor analysis, and model fit. Regression models assessed the association of each picky eating factor to weight perception, pressure-to-eat, and BMIz. We identified three distinct picky eating factors: trying new foods, eating sufficient quantity, and desire for specific food preparation. Each factor had Cronbach's alpha > 0.7 and acceptable model fit. No factors were associated with weight perception. Parents who were more concerned their child did not eat enough were more likely to pressure-to-eat, and these children had lower BMIz. These components of picky eating should be addressed by primary care providers.

Relationship Between Parental Locus of Control and Childhood Injury.

Although pediatricians routinely counsel parents about preventing childhood injuries, we know little about parents' locus of control (LOC) in regards to preventing their children from being injured. We performed an observational analysis of sociodemographic differences in LOC for injury prevention, as measured by four items adapted from the Parental Health Beliefs Scales, in English- and Spanish-speaking parents of infants participating in the treatment arm of an obesity prevention study. First, we examined associations of parental LOC for injury prevention at the time their children were 2 months old with parents' age, race/ethnicity, income, and education. Next, we analyzed time trends for repeated LOC measures when the children were 2, 6, 9, 12, and 24 months old. Last, we examined the association between injury-related LOC items and children's injury (yes/no) at each time point. Of 452 parents, those with lower incomes had both lower internal and higher external LOC. Lower educational achievement was associated with higher external LOC. Both internal and external LOC scores decreased over time. Injuries were more common in children whose parents endorsed low internal and high external LOC. Future studies should examine whether primary care-based interventions can increase parents' sense of control over their children's safety and whether that, in turn, is associated with lower injury rates.Clinical Trial Registration: NCT01040897.

Cardiometabolic Risks and Severity of Obesity in Children and Young Adults.

BACKGROUND: The prevalence of severe obesity among children and young adults has increased over the past decade. Although the prevalence of cardiometabolic risk factors is relatively low among children and young adults who are overweight or obese, those with more severe forms of obesity may be at greater risk. METHODS: We performed a cross-sectional analysis of data from overweight or obese children and young adults 3 to 19 years of age who were included in the National Health and Nutrition Examination Survey from 1999 through 2012 to assess the prevalence of multiple cardiometabolic risk factors according to the severity of obesity. Weight status was classified on the basis of measured height and weight. We used standard definitions of abnormal values for total cholesterol, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein cholesterol, triglycerides, blood pressure, glycated hemoglobin, and fasting glucose and report the prevalence of abnormal values in children and young adults according to weight status. RESULTS: Among 8579 children and young adults with a body-mass index at the 85th percentile or higher (according to the Centers for Disease Control and Prevention growth charts), 46.9% were overweight, 36.4% had class I obesity, 11.9% had class II obesity, and 4.8% had class III obesity. Mean values for some, but not all, cardiometabolic variables were higher with greater severity of obesity in both male and female participants, and the values were higher in male participants than in female participants; for HDL cholesterol, the mean values were lower with greater severity of obesity. Multivariable models that controlled for age, race or ethnic group, and sex showed that the greater the severity of obesity, the higher the risks of a low HDL cholesterol level, high systolic and diastolic blood pressures, and high triglyceride and glycated hemoglobin levels. CONCLUSIONS: Severe obesity in children and young adults was associated with an increased prevalence of cardiometabolic risk factors, particularly among boys and young men.

Elevations of inflammatory proteins in neonatal blood are associated with obesity and overweight among 2-year-old children born extremely premature.

BackgroundChildhood obesity is associated with elevated blood concentrations of inflammation markers. It is not known to what extent inflammation precedes the development of obesity.MethodsIn a cohort of 882 infants born before 28 weeks of gestation, we examined relationships between concentrations of 25 inflammation-related proteins in blood obtained during the first two postnatal weeks and body mass index at 2 years of age.ResultsAmong children delivered for spontaneous indications (n=734), obesity was associated with elevated concentrations of four proteins (IL-1ß, IL-6, TNF-R1, and MCP-1) on the first postnatal day; one protein (IL-6) on postnatal day 7; and two proteins (ICAM-3 and VEGF-R1) on postnatal day 14. Among children delivered for maternal or fetal indications (n=148), obesity was associated with elevated concentrations of seven proteins on the 14th postnatal day. In multivariable models in the spontaneous indications subsample, elevated IL-6 on day 1 predicted obesity (odds ratio: 2.9; 95% confidence limits: 1.2, 6.8), whereas elevated VCAM-1 on day 14 predicted overweight at 2 years of age (odds ratio: 2.3; 95% confidence limits: 1.2, 4.3).ConclusionsIn this cohort, neonatal systemic inflammation preceded the onset of obesity, suggesting that inflammation might contribute to the development of obesity.

Influence of product placement in children's movies on children's snack choices.

BACKGROUND: Media exposure affects health, including obesity risk. Children's movies often contain food placements-frequently unhealthy foods. However, it is not known if these cues influence children's food choices or consumption after viewing. We explored whether children's snack choices or consumption differs based on: 1) recent exposure to movies with high versus low product placement of unhealthy foods; and 2) children's weight status. METHODS: Children ages 9-11 were assigned to watch a high ("Alvin and the Chipmunks," n = 54) or low ("Stuart Little," n = 60) product-placement movie. After viewing, participants selected a snack choice from each of five categories, several of which were specifically featured in "Alvin." Uneaten snacks from each participant were weighed upon completion. Snack choice and amount consumed by movie were compared by t-tests, and differences in snack choices by movie were tested with logistic regression. RESULTS: Participants consumed an average of 800.8 kcal; mean kcal eaten did not vary by movie watched. Participants who watched the high product-placement movie had 3.1 times the odds (95% CI 1.3-7.2) of choosing cheese balls (most featured snack) compared to participants who watched the low product-placement movie. Children who were overweight or obese consumed a mean of 857 kcal (95% CI: 789-925) compared to 783 kcal (95% CI: 742-823, p = 0.09) for children who were underweight or healthy weight. Children's weight status did not significantly affect their choice of snack. CONCLUSIONS: Branding and obesogenic messaging in children's movies influenced some choices that children made about snack foods immediately following viewing, especially food with greatest exposure time in the film, but did not affect total calories consumed. Future studies should examine how the accumulation of these messages affects children's long-term food choices.

Screening for Major Depressive Disorder in Children and Adolescents: A Systematic Review for the U.S. Preventive Services Task Force.

BACKGROUND: Major depressive disorder (MDD) is common among children and adolescents and is associated with functional impairment and suicide. PURPOSE: To update the 2009 U.S. Preventive Services Task Force (USPSTF) systematic review on screening for and treatment of MDD in children and adolescents in primary care settings. DATA SOURCES: Several electronic searches (May 2007 to February 2015) and searches of reference lists of published literature. STUDY SELECTION: Trials and recent systematic reviews of treatment, test-retest studies of screening, and trials and large cohort studies for harms. DATA EXTRACTION: Data were abstracted by 1 investigator and checked by another; 2 investigators independently assessed study quality. DATA SYNTHESIS: Limited evidence from 5 studies showed that such tools as the Beck Depression Inventory and Patient Health Questionnaire for Adolescents had reasonable accuracy for identifying MDD among adolescents in primary care settings. Six trials evaluated treatment. Several individual fair- and good-quality studies of fluoxetine, combined fluoxetine and cognitive behavioral therapy, escitalopram, and collaborative care demonstrated benefits of treatment among adolescents, with no associated harms. LIMITATION: The review included only English-language studies, narrow inclusion criteria focused only on MDD, high thresholds for quality, potential publication bias, limited data on harms, and sparse evidence on long-term outcomes of screening and treatment among children younger than 12 years. CONCLUSION: No evidence was found of a direct link between screening children and adolescents for MDD in primary care or similar settings and depression or other health-related outcomes. Evidence showed that some screening tools are accurate and some treatments are beneficial among adolescents (but not younger children), with no evidence of associated harms. PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality.

Maternal Dietary Patterns during Pregnancy Are Associated with Child Growth in the First 3 Years of Life.

BACKGROUND: Child obesity is a major problem in the United States. Identifying early-life risk factors is necessary for prevention. Maternal diet during pregnancy is a primary source of fetal energy and might influence risk of child obesity. OBJECTIVE: We prospectively investigated the influence of maternal dietary patterns during pregnancy on child growth in the first 3 y of life in 389 mother-child pairs from the Pregnancy, Infection, and Nutrition study. METHODS: Dietary patterns were derived with the use of latent class analysis (LCA) based on maternal diet, collected with the use of a food-frequency questionnaire at 26-29 wk gestation. Associations between maternal dietary patterns and child body mass index (BMI)-for-age z score and overweight or obesity were assessed with the use of linear regression and log-binomial regression, respectively. We used linear mixed models to estimate childhood growth patterns in relation to maternal dietary patterns. RESULTS: Three patterns were identified from LCA: 1) fruits, vegetables, refined grains, red and processed meats, pizza, french fries, sweets, salty snacks, and soft drinks (latent class 1); 2) fruits, vegetables, baked chicken, whole-wheat bread, low-fat dairy, and water (latent class 2); and 3) white bread, red and processed meats, fried chicken, french fries, and vitamin C-rich drinks (latent class 3). In crude analyses, the latent class 3 diet was associated with a higher BMI-for-age z score at 1 and 3 y of age and a higher risk of overweight or obesity at 3 y of age than was the latent class 2 diet. These associations were not detectable after adjustment for confounding factors. We observed an inverse association between the latent class 3 diet and BMI-for-age z score at birth after adjustment for confounding factors that was not evident in the crude analysis (latent class 3 compared with latent class 2-ß: -0.41; 95% CI: -0.79, -0.03). CONCLUSION: In this prospective study, a less-healthy maternal dietary pattern was associated with early childhood weight patterns.