Faculty Bibliography

BACKGROUND AND OBJECTIVES:Infant weight patterns predict subsequent weight outcomes. Rapid infant weight gain, defined as a >0.67 increase in weight-for-age z-score (WAZ) between two time points in infancy, increases obesity risk. Higher oxidative stress, an imbalance between antioxidants and reactive oxygen species, has been associated with low birthweight and paradoxically also with later obesity. We hypothesized that prenatal oxidative stress may also be associated with rapid infant weight gain, an early weight pattern associated with future obesity. METHODS:Within the NYU Children's Health and Environment Study prospective pregnancy cohort, we analyzed associations between prenatal lipid, protein, and DNA urinary oxidative stress biomarkers and infant weight data. Primary outcome was rapid infant weight gain (>0.67 increase in WAZ) between birth and later infancy at the 8 or 12 month visit. Secondary outcomes included: very rapid weight gain (>1.34 increase in WAZ), low (<2500 g) or high (≥4000 g) birthweight, and low (< -1 WAZ) or high (>1 WAZ) 12 month weight. RESULTS:Pregnant participants consented to the postnatal study (n = 541); 425 participants had weight data both at birth and in later infancy. In an adjusted binary model, prenatal 8-iso-PGF2α, a lipid oxidative stress biomarker, was associated with rapid infant weight gain (aOR 1.44; 95% CI: 1.16, 1.78, p = 0.001). In a multinomial model using ≤0.67 change in WAZ as a reference group, 8-iso-PGF2α was associated with rapid infant weight gain (defined as >0.67 but ≤1.34 WAZ; aOR 1.57, 95% CI: 1.19, 2.05, p = 0.001) and very rapid infant weight gain (defined as >1.34 WAZ; aOR 1.33; 95% CI: 1.02, 1.72, p < 0.05) Secondary analyses detected associations between 8-iso-PGF2α and low birthweight outcomes. CONCLUSIONS:We found an association between 8-iso-PGF2α, a lipid prenatal oxidative stress biomarker, and rapid infant weight gain, expanding our understanding of the developmental origins of obesity and cardiometabolic disease.

IMPORTANCE/OBJECTIVE:Pregnancy induces unique physiologic changes to the immune response and hormonal changes leading to plausible differences in the risk of developing post-acute sequelae of SARS-CoV-2 (PASC), or Long COVID. Exposure to SARS-CoV-2 during pregnancy may also have long-term ramifications for exposed offspring, and it is critical to evaluate the health outcomes of exposed children. The National Institutes of Health (NIH) Researching COVID to Enhance Recovery (RECOVER) Multi-site Observational Study of PASC aims to evaluate the long-term sequelae of SARS-CoV-2 infection in various populations. RECOVER-Pregnancy was designed specifically to address long-term outcomes in maternal-child dyads. METHODS:RECOVER-Pregnancy cohort is a combined prospective and retrospective cohort that proposes to enroll 2,300 individuals with a pregnancy during the COVID-19 pandemic and their offspring exposed and unexposed in utero, including single and multiple gestations. Enrollment will occur both in person at 27 sites through the Eunice Kennedy Shriver National Institutes of Health Maternal-Fetal Medicine Units Network and remotely through national recruitment by the study team at the University of California San Francisco (UCSF). Adults with and without SARS-CoV-2 infection during pregnancy are eligible for enrollment in the pregnancy cohort and will follow the protocol for RECOVER-Adult including validated screening tools, laboratory analyses and symptom questionnaires followed by more in-depth phenotyping of PASC on a subset of the overall cohort. Offspring exposed and unexposed in utero to SARS-CoV-2 maternal infection will undergo screening tests for neurodevelopment and other health outcomes at 12, 18, 24, 36 and 48 months of age. Blood specimens will be collected at 24 months of age for SARS-CoV-2 antibody testing, storage and anticipated later analyses proposed by RECOVER and other investigators. DISCUSSION/CONCLUSIONS:RECOVER-Pregnancy will address whether having SARS-CoV-2 during pregnancy modifies the risk factors, prevalence, and phenotype of PASC. The pregnancy cohort will also establish whether there are increased risks of adverse long-term outcomes among children exposed in utero. CLINICAL TRIALS.GOV IDENTIFIER/BACKGROUND:Clinical Trial Registration: http://www.clinicaltrials.gov. Unique identifier: NCT05172011.

Child obesity is widely prevalent, and general pediatricians play an important role in identifying and caring for patients with obesity. Appropriate evaluation and treatment require an understanding of the complex etiology of child obesity, its intergenerational transmission, and its epidemiologic trends, including racial/ethnic and socioeconomic disparities. The American Academy of Pediatrics has published screening, evaluation, and treatment guidelines based on the best available evidence. However, gaps in evidence remain, and implementation of evidence-based recommendations can be challenging. It is important to review optimal care in both the primary care and multidisciplinary weight management settings. This allows for timely evaluation and appropriate referrals, with the pediatrician playing a key role in advocating for patients at higher risk. There is also a role for larger-scale prevention and policy measures that would not only aid pediatricians in managing obesity but greatly benefit child health on a population scale.

This study evaluated the collateral, or unanticipated, impacts of Smart Beginnings (SB), a two-site, tiered intervention designed to promote responsive parenting and school readiness, on breastfeeding intensity in a low-income sample. Impact analyses for the SB intervention were conducted using an intent-to-treat design leveraging a two-arm random assignment structure. Mothers assigned to the SB intervention group were more than three times more likely to give breastmilk as the only milk source at infant age 6 months than mothers assigned to the control group at one site, an effect not evident at the other study site. As development and growth are the two most salient domains of child health, understanding how interventions impact subsequent parenting practices across both domains is critical to address long-term economic and racial/ethnic disparities. Implications of the findings are discussed for improving the efficacy of interventions based on paediatric primary care.

BACKGROUND/UNASSIGNED:Maternal social support promotes healthy infant feeding practices, which influence healthy growth and development. Less is known about how the interplay of social support networks and multicultural health beliefs may influence infant feeding practices, particularly among immigrant Chinese American mothers with economic disadvantage and low breastfeeding rates. RESEARCH AIM/UNASSIGNED:To explore the role of social support networks in the development of infant feeding practices in immigrant Chinese American mothers with infants. METHODS/UNASSIGNED:= 25) at a federally qualified health center in the Sunset Park neighborhood of Brooklyn, New York. Data were analyzed by a multicultural, multidisciplinary team using qualitative thematic analysis and the constant comparative method to identify and iteratively refine emerging codes. RESULTS/UNASSIGNED:Three themes emerged describing how broad transnational communities and close family and friends influence maternal-infant feeding practices: (1) Gathering and processing infant feeding information from broad transnational resources (i.e., from both the mother's country of residence and the mother's country of origin); (2) aligning maternal feeding attitudes with cultural health beliefs of local social networks; and (3) gaining confidence with transactional maternal-infant feeding interactions. CONCLUSIONS/UNASSIGNED:Strategies to promote healthy infant feeding should consider how family supports and culturally-relevant coaching can help align multilevel transnational social networks with healthy infant feeding practices.

BACKGROUND/UNASSIGNED:Research exploring associations between exposure to social determinants of health and breastfeeding is needed to identify breastfeeding barriers. Housing insecurity and household conditions (chaos and crowding) may affect breastfeeding by increasing maternal stress and discomfort and decreasing time available to breastfeed. RESEARCH AIM/UNASSIGNED:We aimed to examine the relationships between housing insecurity, breastfeeding exclusivity intention during the early postnatal period, and breastfeeding exclusivity at 6 months postpartum among a sample "at risk" for suboptimal breastfeeding rates. METHODS/UNASSIGNED:= 361) at near-birth and child aged 6 months, in New York City and Pittsburgh. Structural equation modeling was used to examine direct and indirect effects of housing insecurity on breastfeeding exclusivity at child aged 6 months. RESULTS/UNASSIGNED:The path model showed that experiencing more markers of housing insecurity (i.e., foreclosure/eviction threat, history of homelessness, late rent) was predictive of significantly lower breastfeeding exclusivity at 6 months. This was partially mediated through less exclusive breastfeeding intention during the early postnatal period. Greater household crowding was associated with 6-month breastfeeding exclusivity when mediated by intention. Household crowding had differential effects by study site and participant race/ethnicity. CONCLUSION/UNASSIGNED:Refinement of housing insecurity as a multi-dimensional construct can lead to the development of standardized data collection instruments, inform future methodological decisions in research addressing social determinants of health, and can inform the development of responsive individual- and structural-level interventions.The data used in this study were collected as part of the SMART Beginnings Randomized Controlled Trial (NCT02459327 registered at ClinicalTrials.gov).

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.

To describe how social disruptions caused by the COVID-19 pandemic impacted child access to healthcare and child health behaviors in 2020. We used mixed-methods to conduct surveys and in-depth interviews with English- and Spanish-speaking parents of young children from five geographic regions in the USA. Participants completed the COVID-19 Exposure and Family Impact Survey (CEFIS). Semistructured telephone interviews were conducted between August and October 2020. Of the 72 parents interviewed, 45.8% of participants were Hispanic, 20.8% Black (non-Hispanic), and 19.4% White (non-Hispanic). On the CEFIS, the average (SD) number of social/family disruptions reported was 10.5 (3.8) out of 25. Qualitative analysis revealed multiple levels of themes that influenced accessing healthcare during the pandemic, including two broad contextual themes: (a) lack of trustworthiness of medical system/governmental organizations, and (b) uncertainty due to lack of consistency across multiple sources of information. This context influenced two themes that shaped the social and emotional environments in which participants accessed healthcare: (a) fear and anxiety and (b) social isolation. However, the pandemic also had some positive impacts on families: over 80% indicated that the pandemic made it "a lot" or "a little" better to care for their new infants. Social and family disruptions due to COVID-19 were common. These disruptions contributed to social isolation and fear, and adversely impacted multiple aspects of child and family health and access to healthcare. Some parents of infants reported improvements in specific health domains such as parenting, possibly due to spending more time together.