Faculty Bibliography

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.

OBJECTIVES/OBJECTIVE:Determine whether the negative impact of the COVID-19 pandemic on weight gain trajectories among children attending well-child visits in New York City persisted after the public health restrictions were reduced. STUDY DESIGN/METHODS:Multicenter retrospective chart review study of 7150 children aged 3-19 years seen for well-child care between 1 January 2018 and 4 December 2021 in the NYC Health and Hospitals system. Primary outcome was the difference in annual change of modified body mass index z-score (mBMIz) between the pre-pandemic and early- and late-pandemic periods. The mBMIz allows for tracking of a greater range of BMI values than the traditional BMI z-score. The secondary outcome was odds of overweight, obesity, or severe obesity. Multivariable analyses were conducted with each outcome as the dependent variable, and year, age category, sex, race/ethnicity, insurance status, NYC borough, and baseline weight category as independent variables. RESULTS:The difference in annual mBMIz change for pre-pandemic to early-pandemic = 0.18 (95% confidence interval [CI]: 0.15, 0.20) and for pre-pandemic to late-pandemic = 0.04 (95% CI: 0.01, 0.06). There was a statistically significant interaction between period and baseline weight category. Those with severe obesity at baseline had the greatest mBMIz increase during both pandemic periods and those with underweight at baseline had the lowest mBMIz increase during both pandemic periods. CONCLUSION/CONCLUSIONS:In NYC, the worsening mBMIz trajectories for children associated with COVID-19 restrictions did not reverse by 2021. Decisions about continuing restrictions, such as school closures, should carefully weigh the negative health impact of these policies.

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.

Material hardship and stress, associated with poor infant outcomes, increased during the Coronavirus Disease 2019 pandemic. Chinese American families were vulnerable to racism-driven disparities. Little is known about maternal perceptions of pandemic impacts on their infants, family, and community. Purposive sampling of low-income Chinese American mothers (n = 25) with infants (1-15 months). Semi-structured qualitative interviews conducted in Mandarin, Cantonese, or English were audio-recorded, transcribed, and translated. Transcripts coded using applied thematic analysis in an iterative process of textual analysis until thematic saturation. Three themes emerged: (1) Heightened family hardship included financial strain, disruption of transnational childcare, experiences of racism; (2) Altered infant routines/developmental consequences included using protective equipment on infants, concerns about infant socio-emotional development; (3) Coping strategies included stockpiling essentials, adapting family diets. Strategies to mitigate disparities include expanding social needs screening, correcting misinformation, strengthening support networks, and including low-income Chinese Americans in these efforts.

To mitigate the negative impact of resource needs on child health, practices serving low-income immigrant families have implemented screening programs to connect families to community resources. Little is known about how duration of US residence relates to patterns of resource needs and indicators of acculturation such as community resource knowledge/experience or self-efficacy. We conducted a cross-sectional analysis of a convenience sample of immigrant families with young children at an urban primary care clinic. These families were seen 5/2018-1/2020 for well child care, screening positive for ≥1 social need using a tool derived from Health Leads. Analysis of 114 families found that newly arrived families with a shorter duration of US residence (≤5 years) were more likely to report immediate material hardships like food insecurity and need for essential child supplies. Newly arrived families were also less likely to have access to technology resources such as a computer or smartphone. Long-term families with a longer duration of US residence (≥15 years) were more likely to report chronic needs like poor housing conditions, but also reported increased community resource knowledge/experience and increased self-efficacy. Primary care pediatric practices should assess immigration contextual factors to identify subgroups such as newly arrived families with young children to target resources (e.g., increase screening frequency) or enhance services (e.g., patient navigators) to relieve resource needs.

Social determinants of health influence child health behavior, development, and outcomes. This paper frames social capital, or the benefits that a child receives from social relationships, as a positive social determinant of health that helps children exposed to adversity achieve healthy outcomes across the life course. Children are uniquely dependent on their relationships with surrounding adults for material and non-material resources. We identify and define three relevant aspects of social capital: 1) social support, which is embedded in a 2) social network, which is a structure through which 3) social cohesion can be observed. Social support is direct assistance available through social relationships and can be received indirectly through a caregiver or directly by a child. A child's social network describes the people in a child's life and the relationships between them. Social cohesion represents the strength of a group to which a child belongs (e.g. family, community). Pediatric primary care practices play an important role in fostering social relationships between families, the health care system, and the community. Further research is needed to develop definitional and measurement rigor for social capital, to evaluate interventions (e.g. peer health educators) that may improve health outcomes through social capital, and to broaden our understanding of how social relationships influence health outcomes.

OBJECTIVE:To assess relationships between material hardships, shortened sleep duration, and suboptimal sleep practices across infancy and toddlerhood in low-income Hispanic families. METHODS:We analyzed longitudinal data of 451 low-income Hispanic mother-child pairs from a child obesity prevention trial. During infancy and toddlerhood, we used adjusted linear regression to assess associations between material hardship (financial difficulty, food insecurity, housing disrepair, multiple hardships), sleep duration (24-hour, night), and the number of suboptimal sleep practices (e.g., later bedtime, co-sleeping). We used adjusted linear regression to assess the longitudinal association between the number of suboptimal sleep practices in infancy and toddlerhood, and tested whether specific or multiple hardships moderated this association. RESULTS:In infants, financial difficulty and multiple hardships were associated with decreased night sleep (B=-0.59 hours, 95% CI: -1.04, -0.14; and B=-0.54 hours, 95% CI: -1.00, -0.08). Housing disrepair was associated with decreased 24-hour sleep (B=-0.64 hours, 95% CI: -1.29, -0.01). In toddlers, each additional suboptimal sleep practice was associated with a decrease in night sleep (B=-0.19 hours, 95% CI: -0.29, -0.09). Each additional suboptimal sleep practice in infancy was associated with a 0.30 increase in the number of suboptimal sleep practices in toddlerhood (p<0.001), with greater increases for those with food insecurity or multiple hardships. CONCLUSION/CONCLUSIONS:Specific and multiple hardships shortened sleep duration during infancy, and moderated the increase of suboptimal sleep behaviors between infancy and toddlerhood. Future studies should consider these early critically sensitive periods for interventions to mitigate material hardships and establish healthy sleep practices.

The clinical management of well-appearing febrile infants 7-60 days of age remains variable due in part to multiple criteria differentiating the risk of a serious bacterial infection. The purpose of this quality improvement study was to standardize risk stratification in the emergency department and length of stay in the inpatient unit by implementing an evidence-based clinical practice guideline (CPG).

BACKGROUND:Evidence has established the association between risk factors and attention-deficit/hyperactivity disorder (ADHD) severity, but less is known about factors that may have protective effects on clinical, academic, and social outcomes among children with ADHD. OBJECTIVE:To examine associations between family cohesion, caregiver social support, community support, and (1) ADHD severity, (2) school engagement, and (3) difficulty making or keeping friends. METHODS:Cross-sectional study of school-aged and adolescent children with ADHD using data from the 2016 National Survey of Children's Health. Our outcomes were (1) parent-rated ADHD severity, (2) school engagement, and (3) difficulty making or keeping friends. Our independent variables were (1) family cohesion, (2) caregiver social support, and (3) community support. We used logistic regression models to examine associations between our independent variables and each of our outcome variables, adjusting for child and parent sociodemographic characteristics. RESULTS:In our sample (N = 4,122, weighted N = 4,734,322), children exposed to family cohesion and community support had lower odds of moderate to severe ADHD [adjusted OR (aOR): 0.73 (0.55-0.97); aOR: 0.73 (0.56-0.95), respectively], higher odds of school engagement [aOR: 1.72, (1.25-2.37); aOR: 1.38, (1.04-1.84), respectively], and lower odds of difficulty making or keeping friends [aOR: 0.64, (0.48-0.85); aOR: 0.52, (0.40-0.67), respectively]. CONCLUSION/CONCLUSIONS:Among children with ADHD, family cohesion and community support show protective effects in clinical, academic, and social outcomes. Systematically identifying family- and community-level strengths may be important components of multimodal treatment strategies in children with ADHD.