Faculty Bibliography

BACKGROUND:A gap in the literature is the associations between longitudinal changes in food insecurity (FI) with parental feeding behaviors (PFB) and child weight status. METHODS:Secondary analysis of data from the Greenlight trial. Exposure was FI at 2 and 24 months, categorized as: no FI, food insecure to food secure (resolved FI), food secure to food insecure (new FI), or persistent FI. Outcomes included PFB, measured by the Child Feeding Questionnaire, and child weight outcomes. Adjusted linear models were used to estimate predicted means; pairwise comparisons were conducted with the no FI group as the referent group. RESULTS:= 0.07). CONCLUSIONS:Persistent food insecurity during the first 24 months of life were associated with differences in PFB that may contribute to obesity. CLINICAL TRIALS REGISTRATION/BACKGROUND:NCT01040897.

BACKGROUND:Health literacy-informed and language-concordant written materials can promote caregiver understanding of care plans although are not commonly used in inpatient rounds. OBJECTIVES/OBJECTIVE:We sought to develop and evaluate a health literacy-informed, multilingual electronic real-time summary of rounds for hospitalized patients (the Rounds eSummary). METHODS:A multidisciplinary team developed the Rounds eSummary using health literacy, communication, and language equity best practices and multiple rounds of piloting. To generate the eSummary, clinicians completed a link with closed-ended options for various rounds components (e.g., illness severity, plan), caregiver's preferred language, and contact information. This generated an electronic PDF rounds summary (15 possible languages) emailed or texted to the family. We used descriptive statistics to analyze eSummaries (n = 437) created from October 25, 2024 to February 1, 2025. Separately, for a purposive sample of English eSummaries (n = 12) that represented different diagnoses and plans, two independent raters examined reading grade level (average of five formulas), understandability, and actionability (Patient Education Materials Assessment Tool for Printable Materials). RESULTS:Rounds eSummaries were generated in eight languages across three sites; the most common languages were English (89%), Spanish (6.2%), and Portuguese (1.8%). Plans commonly included medicines (42%), nutrition (30%), and oxygen (24%). More than half (61%) were accessed at least once by the patient/caregiver; of the eSummaries accessed, the average engagement time was 29.1 s (standard deviation 25.2). The average reading grade level was 6.8 (standard deviation 0.6, range 5.8-7.8). Overall understandability and actionability scores were 87% and 60%, respectively. CONCLUSION/CONCLUSIONS:We designed a usable Rounds eSummary that addressed language and health literacy barriers. TRIAL REGISTRATION/BACKGROUND:ClinicalTrials.gov identifier: NCT05591066.

Health literacy and language impact comprehension of and adherence to written educational materials, including those for gastrostomy tubes (g-tubes). Our objective was to evaluate the readability, understandability, actionability, content, and language availability of a national sample of written g-tube educational materials. We conducted a cross-sectional study of g-tube educational materials from top 20 children's hospitals (US News and World Report) obtained via a systematic online search and provided by the institutions. We assessed material: (1) readability, (2) understandability and actionability (Patient Education Materials Assessment Tool for Printable Materials, (3) content, and (4) language availability. Mean (standard deviation [SD]) reading grade level was 8.3 (1.9). Mean (SD) understandability and actionability scores were 81.6% (12.1%) and 65.9% (23.2%), respectively. Materials covered a mean (SD) of 46.1% (25.3%) of content items; 20% of institutions provided materials in non-English languages. Future research should examine how to improve educational materials for children with g-tubes.

IMPORTANCE/UNASSIGNED:Millions of children worldwide are experiencing prolonged symptoms after SARS-CoV-2 infection, yet social risk factors for developing long COVID are largely unknown. As child health is influenced by the environment in which they live and interact, adverse social determinants of health (SDOH) may contribute to the development of pediatric long COVID. OBJECTIVE/UNASSIGNED:To identify whether adverse SDOH are associated with increased odds of long COVID in school-aged children and adolescents in the US. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:This cross-sectional analysis of a multicenter, longitudinal, meta-cohort study encompassed 52 sites (health care and community settings) across the US. School-aged children (6-11 years; n = 903) and adolescents (12-17 years; n = 3681) with SARS-CoV-2 infection history were included. Those with an unknown date of first infection, history of multisystem inflammatory syndrome in children, or symptom surveys with less than 50% of questions completed were excluded. Participants were recruited via health care systems, long COVID clinics, fliers, websites, social media campaigns, radio, health fairs, community-based organizations, community health workers, and existing research cohorts from March 2022 to August 2024, and surveys were completed by caregivers between March 2022 and August 2024. EXPOSURE/UNASSIGNED:Twenty-four individual social determinant of health factors were grouped into 5 Healthy People 2030 domains: economic stability, social and community context, caregiver education access and quality, neighborhood and built environment, and health care access and quality. Latent classes were created within each domain and used in regression models. MAIN OUTCOMES AND MEASURES/UNASSIGNED:Presence of long COVID using caregiver-reported, symptom-based, age-specific research indices. RESULTS/UNASSIGNED:The mean (SD) age among 4584 individuals included in this study was 14 (3) years, and 2330 (51%) of participants were male. The number of latent classes varied by domain; the reference group was the class with the least adversity. In unadjusted analyses, most classes in each domain were associated with higher odds of long COVID. After adjusting for many factors, including age group, sex, timing of infection, referral source, and other social determinant of health domains, economic instability characterized by difficulty covering expenses, poverty, receipt of government assistance, and food insecurity were associated with an increased risk of having long COVID (class 2 adjusted odds ratio [aOR], 1.57; 95% CI, 1.18-2.09; class 4 aOR, 2.39; 95% CI, 1.73-3.30); economic instability without food insecurity (class 3) was not (aOR, 0.93; 95% CI, 0.70-1.23). Poorer social and community context (eg, high levels of discrimination and low social support) was also associated with long COVID (aOR, 2.17; 95% CI, 1.77-2.66). Sensitivity analyses stratified by age group and adjusted for race and ethnicity did not alter or attenuate these results. CONCLUSIONS AND RELEVANCE/UNASSIGNED:In this study, economic instability that included food insecurity and poor social and community context were associated with greater odds of pediatric long COVID. Those with food security, despite experiencing other economic challenges, did not have greater odds of long COVID. Further study is needed to determine if addressing SDOH factors can decrease the rate of pediatric long COVID.

BACKGROUND:Childhood obesity disproportionately affects priority populations, including racial and ethnic minority groups and those with lower socio-economic backgrounds. These groups often encounter barriers to accessing public health services and may benefit from targeted interventions. OBJECTIVE:This scoping review aimed to identify the characteristics of populations involved in interventions to prevent early childhood obesity and to understand whether and how existing interventions targeted and reached priority populations. METHODS:Databases and trial registries were systematically searched until 4 October 2024, for planned, ongoing, and completed randomised controlled trials evaluating parent-focussed, behavioural interventions for childhood obesity prevention, starting within the first year of life. Two reviewers independently extracted data using a customised tool. RESULTS:Of the 11 960 articles identified, 82 trials were eligible. Most trials (87%) were conducted (or planned) in high-income countries, 11% in upper middle-income countries, and 2% in lower middle-income countries. Priority populations included parent-child dyads from specific ethnic or racial groups facing psychological, social, and/or economic disadvantages. Among the completed trials, 54% targeted priority populations, yet only 33% exclusively enrolled participants from these groups. Additionally, less than a quarter of the trials involved priority populations in the design of interventions (17%) and developed tailored interventions for these groups (21%). CONCLUSIONS:Current interventions do not sufficiently target, reach and engage priority populations. To achieve health equity in early childhood obesity prevention, it is essential to include underserved and at-risk populations in research and intervention design.

BACKGROUND:Childhood obesity is a global public health issue, which has prompted governments to invest in prevention programmes. We aimed to investigate the effectiveness of parent-focused early childhood obesity prevention interventions globally. METHODS:We did a systematic review and individual participant data meta-analysis. We searched databases and trial registries (MEDLINE, Embase, CENTRAL, CINAHL, PsycInfo, ClinicalTrials.gov, and WHO International Clinical Trials Registry Platform) from inception until Sept 30, 2024, for randomised controlled trials commencing before 12 months of age examining parent-focused behavioural interventions to prevent obesity in children, compared with usual care, no intervention, or attention control. Individual participant data were checked, harmonised, and assessed for integrity and risk of bias. We excluded trials that were quasi-randomised, investigated pregnancy-only interventions, or did not collect any child weight-related outcomes. The primary outcome was BMI Z score at age 24 months (±6 months). We did an intention-to-treat, two-stage, random effects meta-analysis to examine effects overall and for prespecified subgroups. We assessed certainty of evidence using Grading of Recommendations Assessment, Development, and Evaluation. This study is registered with PROSPERO, CRD42020177408. FINDINGS/RESULTS:=0·01; n=6505; 2623 missing). Findings were robust to prespecified sensitivity analyses (eg, different analysis methods and missing data), and we found no evidence of differential intervention effects for prespecified subgroups including priority populations and trial-level factors. INTERPRETATION/CONCLUSIONS:These findings indicate that examined parent-focused behavioural interventions are insufficient to prevent obesity at age 24 months (±6 months). This evidence highlights a need to re-think childhood obesity prevention approaches. FUNDING/BACKGROUND:Australian National Health and Medical Research Council.

BACKGROUND:Early childhood obesity prevention interventions that aim to change parent/caregiver practices related to infant (milk) feeding, food provision and parent feeding, movement (including activity, sedentary behaviour) and/or sleep health (i.e. target parental behaviour domains) are diverse and heterogeneously reported. We aimed to 1) systematically characterise the target behaviours, delivery features, and Behaviour Change Techniques (BCTs) used in interventions in the international Transforming Obesity Prevention for CHILDren (TOPCHILD) Collaboration, and 2) explore similarities and differences in BCTs used in interventions by target behaviour domains. METHODS:Annual systematic searches were performed in MEDLINE, Embase, Cochrane (CENTRAL), CINAHL, PsycINFO, and two clinical trial registries, from inception to February 2023. Trialists from eligible randomised controlled trials of parent-focused, behavioural early obesity prevention interventions shared unpublished intervention materials. Standardised approaches were used to code target behaviours, delivery features and BCTs in both published and unpublished intervention materials. Validation meetings confirmed coding with trialists. Narrative syntheses were performed. RESULTS:Thirty-two trials reporting 37 active intervention arms were included. Interventions targeted a range of behaviours. The most frequent combination was targeting all parental behaviour domains (infant [milk] feeding, food provision and parent feeding, movement, sleep health; n[intervention arms] = 15/37). Delivery features varied considerably. Most interventions were delivered by a health professional (n = 26/36), included facilitator training (n = 31/36), and were interactive (n = 28/36). Overall, 49 of 93 unique BCTs were coded to at least one target behaviour domain. The most frequently coded BCTs were: Instruction on how to perform a behaviour (n[intervention arms, separated by domain] = 102), Behavioural practice and rehearsal (n = 85), Information about health consequences (n = 85), Social support (unspecified) (n = 84), and Credible source (n = 77). Similar BCTs were often used for each target behaviour domain. CONCLUSIONS:Our study provides the most comprehensive description of the behaviour change content of complex interventions targeting early childhood obesity prevention available to date. Our analysis revealed that interventions targeted multiple behaviour domains, with significant variation in delivery features. Despite the diverse range of BCTs coded, five BCTs were consistently identified across domains, though certain BCTs were more prevalent in specific domains. These findings can be used to examine effectiveness of components and inform intervention development and evaluation in future trials. TRIAL REGISTRATION/BACKGROUND:PROSPERO registration no. CRD42020177408.

IMPORTANCE/UNASSIGNED:Infant growth predicts long-term obesity and cardiovascular disease. Previous interventions designed to prevent obesity in the first 2 years of life have been largely unsuccessful. Obesity prevalence is high among traditional racial and ethnic minority groups. OBJECTIVE/UNASSIGNED:To compare the effectiveness of adding a digital childhood obesity prevention intervention to health behavior counseling delivered by pediatric primary care clinicians. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:Individually randomized, parallel-group trial conducted at 6 US medical centers and enrolling patients shortly after birth. To be eligible, parents spoke English or Spanish, and children were born after 34 weeks' gestational age. Study enrollment occurred between October 2019 and January 2022, with follow-up through January 2024. INTERVENTIONS/UNASSIGNED:In the clinic-based health behavior counseling (clinic-only) group, pediatric clinicians used health literacy-informed booklets at well-child visits to promote healthy behaviors (n = 451). In the clinic + digital intervention group, families also received health literacy-informed, individually tailored, responsive text messages to support health behavior goals and a web-based dashboard (n = 449). MAIN OUTCOMES AND MEASURES/UNASSIGNED:The primary outcome was child weight-for-length trajectory over 24 months. Secondary outcomes included weight-for-length z score, body mass index (BMI) z score, and the percentage of children with overweight or obesity. RESULTS/UNASSIGNED:Of 900 randomized children, 86.3% had primary outcome data at the 24-month follow-up time point; 143 (15.9%) were Black, non-Hispanic; 405 (45.0%) were Hispanic; 185 (20.6%) were White, non-Hispanic; and 165 (18.3%) identified as other or multiple races and ethnicities. Children in the clinic + digital intervention group had a lower mean weight-for-length trajectory, with an estimated reduction of 0.33 kg/m (95% CI, 0.09 to 0.57) at 24 months. There was also an adjusted mean difference of -0.19 (95% CI, -0.37 to -0.02) for weight-for-length z score and -0.19 (95% CI, -0.36 to -0.01) for BMI z score. At age 24 months, 23.2% of the clinic + digital intervention group compared with 24.5% of the clinic-only group had overweight or obesity (adjusted risk ratio, 0.91 [95% CI, 0.70 to 1.17]) based on the Centers for Disease Control and Prevention criteria of BMI 85th percentile or greater. At that age, 7.4% of the clinic + digital intervention group compared with 12.7% of the clinic-only group had obesity (adjusted risk ratio, 0.56 [95% CI, 0.36 to 0.88]). CONCLUSIONS AND RELEVANCE/UNASSIGNED:A health literacy-informed digital intervention improved child weight-for-length trajectory across the first 24 months of life and reduced childhood obesity at 24 months. The intervention was effective in a racially and ethnically diverse population that included groups at elevated risk for childhood obesity. TRIAL REGISTRATION/UNASSIGNED:ClinicalTrials.gov Identifier: NCT04042467.

OBJECTIVE:To examine the association between social capital and household food insecurity among US families with newborns. STUDY DESIGN/METHODS:This cross-sectional analysis used enrollment data from 881 newborn-caregiver dyads at six geographically-diverse US academic sites enrolled in the Greenlight Plus Trial, a comparative effectiveness trial to prevent childhood obesity. Ordinal proportional-odds models were used to characterize the associations of two self-reported measures of social capital: 1) caregiver social support and 2) neighborhood social cohesion, with household food insecurity after controlling for sociodemographic characteristics. RESULTS:Among 881 newborn-caregiver dyads (49% Hispanic, 23% non-Hispanic white, 17% non-Hispanic Black; 49% with annual household income <$50,000), food security was high for 75%, marginal for 9%, low for 11% and very low for 4%. In covariate-adjusted analyses, caregivers with a low social support score of 18 had five times the odds (aOR=5.03 95%CI=3.28-7.74) of greater food insecurity compared with caregivers with a high social support score of 30. Caregivers with a low neighborhood social cohesion score of 10 had nearly three times the odds (aOR=2.87 95%CI 1.61-5.11) of greater food insecurity compared with caregivers with a high neighborhood social cohesion score of 20. These associations remained robust when both social capital measures were included in one model. CONCLUSIONS:Caregiver social support and neighborhood social cohesion each appear to be inversely associated with food insecurity among US families with newborns. Longitudinal research is needed to determine the directionality of these relationships and whether improving social capital for families with young children reduces household food insecurity.