Faculty Bibliography

IMPORTANCE/UNASSIGNED:Stress and viral illness during pregnancy are associated with neurodevelopmental conditions in offspring. Autism screening positivity for children born during the pandemic remains unknown. OBJECTIVE/UNASSIGNED:To examine associations between prenatal exposure to the pandemic milieu and maternal SARS-CoV-2 infection with rates of positive Modified Checklist for Autism in Toddlers, Revised (M-CHAT-R) screenings. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:Data for this cohort study were drawn from the COVID-19 Mother Baby Outcomes (COMBO) Initiative. M-CHAT-R scores obtained from children aged 16 to 30 months during routine clinical care at Columbia University Irving Medical Center in New York City were abstracted from electronic health records (EHRs) for children born between January 2018 and September 2021 (COMBO-EHR cohort). Separately, the M-CHAT-R was administered at 18 months for children born between February 2020 and September 2021 through a prospective longitudinal study (COMBO-RSCH cohort). Prenatal pandemic exposure (birth after March 1, 2020) and maternal SARS-CoV-2 status during pregnancy was determined through EHRs. Data were analyzed from March 2022 to June 2024. EXPOSURES/UNASSIGNED:Prenatal exposures to the pandemic milieu and maternal SARS-CoV-2 infection. MAIN OUTCOMES AND MEASURES/UNASSIGNED:The primary outcome was rate of positive M-CHAT-R screenings. For all primary analyses, unadjusted χ2 tests and adjusted logistic regression models were performed. RESULTS/UNASSIGNED:The COMBO-EHR cohort included 1664 children (442 born before the pandemic and 1222 born during the pandemic; 997 SARS-CoV-2 unexposed, 130 SARS-CoV-2 exposed, and 95 with unknown SARS-CoV-2 exposure status), of whom 266 (16.0%) were Black, 991 (59.6%) were Hispanic, 400 (24.0%) were White, 1245 (74.8%) were insured through Medicaid, 880 (52.9%) were male, and 204 (12.3%) were born prematurely. The COMBO-RSCH cohort included 385 children (74 born before the pandemic and 311 born during the pandemic; 201 SARS-CoV-2 unexposed, 101 SARS-CoV-2 exposed, and 9 with unknown SARS-CoV-2 exposure status), of whom 39 (10.1%) were Black, 168 (43.6%) were Hispanic, 157 (40.8%) were White, 161 (41.8%) were insured through Medicaid, 222 (57.7%) were male, and 38 (9.9%) were born prematurely. Prenatal pandemic exposure was not associated with a higher positive M-CHAT-R screening rate in either the COMBO-EHR or COMBO-RSCH cohort. Prenatal exposure to maternal SARS-CoV-2 infection was associated with a lower rate of M-CHAT-R positivity in the COMBO-EHR cohort (12.3% [16 children] vs 24.0% [239 children]; adjusted odds ratio, 0.40; 95% CI, 0.22-0.68; P = .001), but no association was found in the COMBO-RSCH cohort (12.9% [13 children] vs 19.9% [40 children]; adjusted odds ratio, 0.51; 95% CI, 0.24-1.04; P = .07). CONCLUSIONS AND RELEVANCE/UNASSIGNED:In this cohort study of 2 groups of children with prenatal pandemic exposure and/or exposure to maternal SARS-CoV-2 infection, neither exposure was associated with greater M-CHAT-R positivity.

The goal of our study was to describe the availability of community child and adolescent mental health services, trauma-informed care, and the geographic accessibility of these services for juvenile justice-involved (JJ) youth who received mental health services while in secure detention. Data collection occurred through direct contact with the child and adolescent outpatient clinics listed on the New York State Office of Mental Health website. Zip codes were collected from the juvenile secure detention census. Of the clinics contacted, 88.5 percent accepted JJ youth; however, 43.5 percent accepted them on a conditional basis. Only 62.1 percent offered trauma-informed care, including evidence-based interventions and unspecified care. Although 84.5 percent of the clinics that would accept this population reported currently accepting new patients, reported wait times were as high as six or more months. When JJ residents' home zip codes and those of the clinics were geographically mapped, there were few clinics in the zip codes where most residents lived. The clinics that accepted youth on a conditional basis often refused high-risk patients, essentially ruling out a large majority of this population. The geographical inaccessibility of these clinics limits their ability to provide care for this vulnerable population.

IMPORTANCE/UNASSIGNED:Neurodevelopmental disorders (NDDs) such as autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are increasingly common. Individuals with NDDs have heightened obesity risks, but long-term data on body mass index (BMI) trends over time in this population are lacking. OBJECTIVE/UNASSIGNED:To assess secular BMI changes from 2004 to 2020 among children with NDDs compared with those without NDDs. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:This repeated cross-sectional study used data from the Child and Adolescent Twin Study in Sweden. Children born between January 1, 1992, and December 31, 2010, were screened for neurodevelopmental symptoms using the Autism-Tics, ADHD, and Other Comorbidities inventory between July 2004 and April 2020 when they were 9 or 12 years of age. Data analysis was conducted between September 27, 2023, and January 30, 2024. MAIN OUTCOMES AND MEASURES/UNASSIGNED:BMI percentiles (15th, 50th, and 85th) were modeled using quantile regression and compared between youths with and without NDDs. Secular changes in BMI percentiles over time spanning 2004 to 2020 were evaluated and stratified by NDD subtype. RESULTS/UNASSIGNED:The cohort included 24 969 Swedish twins (12 681 [51%] boys) born between 1992 and 2010, with mean (SD) age of 9 (0.6) years. Of these, 1103 (4%) screened positive for 1 or more NDDs, including ADHD, ASD, and/or learning disability. Results indicated that at the 85th BMI percentile, there was a greater increase in BMI from 2004 to 2020 among youths with NDDs compared with those without NDDs (β for interaction [βint] between NDD status and time, 1.67; 95% CI, 0.39-2.90). The greatest divergence was seen for ASD (βint, 2.12; 95% CI, 1.26-3.70) and learning disability (βint, 1.92; 95% CI, 0.65-3.82). Within the latest cohort (2016-2020), the 85th BMI percentile was 1.99 (95% CI, 1.08-2.89) points higher among children with NDDs compared with those without NDDs. CONCLUSIONS AND RELEVANCE/UNASSIGNED:In this repeated cross-sectional study, at the higher end of the BMI distribution, children with NDDs had significantly greater increases in BMI compared with peers without NDDs over a 16-year period, highlighting an increasing risk of overweight over time in youths with NDDs compared with those without NDDs. Targeted obesity prevention efforts for this high-risk population are needed.

Efforts to bolster the school readiness of Latinx children from low-income homes in the United States have focused on fostering parent engagement in children"™s education. Measurement of parent engagement in early childhood however, has been critiqued for having too narrow a focus on school-based involvement and missing other aspects of Latinx parent engagement. Using a recently developed culturally sensitive assessment of Latinx parent engagement, we test for associations between dimensions of Latinx parent engagement in learning and indicators of school readiness in a diverse sample of Latinx families (n = 114). We find significant associations between multiple dimensions of Latinx parent engagement and indicators of child school readiness. In addition to promoting parent-teacher connections, efforts to support Latinx school readiness equitably are encouraged to attend to various culturally relevant aspects of Latinx parent engagement in early childhood. In particular, investing in programing that supports parents"™ well-being and capacity for home-based engagement in learning may be a promising way to support the school readiness of Latinx children living in historically disinvested neighborhoods.

BACKGROUND:Observational assessments of infant temperament have provided unparalleled insight into prediction of risk for social anxiety. However, it is challenging to administer and score these assessments alongside high-quality infant neuroimaging data. In the current study, we aimed to identify infant resting-state functional connectivity associated with both parent report and observed behavioral estimates of infant novelty-evoked distress. METHODS:Using data from the OIT (Origins of Infant Temperament) study, which includes deep phenotyping of infant temperament, we identified parent-report measures that were associated with observed novelty-evoked distress. These parent-report measures were then summarized into a composite score used for imaging analysis. Our infant magnetic resonance imaging sample was a synthetic cohort, harmonizing data from 2 functional magnetic resonance imaging studies of 4-month-old infants (OIT and BCP [Baby Connectome Project]; n = 101), both of which included measures of parent-reported temperament. Brain-behavior associations were evaluated using enrichment, a statistical approach that quantifies the clustering of brain-behavior associations within network pairs. RESULTS:Results demonstrated that parent-report composites of novelty-evoked distress were significantly associated with 3 network pairs: dorsal attention-salience/ventral attention, dorsal attention-default mode, and dorsal attention-control. These network pairs demonstrated negative associations with novelty-evoked distress, indicating that less connectivity between these network pairs was associated with greater novelty-evoked distress. Additional analyses demonstrated that dorsal attention-control network connectivity was associated with observed novelty-evoked distress in the OIT sample (n = 38). CONCLUSIONS:Overall, this work is broadly consistent with existing work and implicates dorsal attention network connectivity in novelty-evoked distress. This study provides novel data on the neural basis of infant novelty-evoked distress.

BACKGROUND/UNASSIGNED:Preterm birth (birth at <37 completed weeks gestation) is a significant public heatlh concern worldwide. Important health, and developmental consequences of preterm birth include altered temperament development, with greater dysregulation and distress proneness. AIMS/UNASSIGNED:The present study leveraged advanced quantitative techniques, namely machine learning approaches, to discern the contribution of narrowly defined and broadband temperament dimensions to birth status classification (full-term vs. preterm). Along with contributing to the literature addressing temperament of infants born preterm, the present study serves as a methodological demonstration of these innovative statistical techniques. STUDY DESIGN/UNASSIGNED:= 402) born at term, with data combined across investigations to perform classification analyses. SUBJECTS/UNASSIGNED:Participants included infants born preterm and term-born comparison children, either matched on chronological age or age adjusted for prematurity. OUTCOME MEASURES/UNASSIGNED:Infant Behavior Questionnaire-Revised Very Short Form (IBQ-R VSF) was completed by mothers, with factor and item-level data considered herein. RESULTS AND CONCLUSIONS/UNASSIGNED:Accuracy estimates were generally similar regardless of the comparison groups. Results indicated a slightly higher accuracy and efficiency for IBQR-VSF item-based models vs. factor-level models. Divergent patterns of feature importance (i.e., the extent to which a factor/item contributed to classification) were observed for the two comparison groups (chronological age vs. adjusted age) using factor-level scores; however, itemized models indicated that the two most critical items were associated with effortful control and negative emotionality regardless of comparison group.

Evidence on the link between developmental coordination disorder (DCD) and obesity and overweight is mixed. Based on a pre-registered protocol (PROSPERO: CRD42023429432), we conducted the first systematic review/meta-analysis on the association between DCD and excessive weight. Web of Science, PubMed and an institutional database aggregator were searched until the 18th of December 2023. We assessed study quality using the Newcastle-Ottawa Scale and study heterogeneity using Q and I2 statistics. Data from 22 studies were combined, comprising 11,330 individuals out of which 1861 had DCD. The main analysis showed a significant association between DCD and higher body weight (OR:1.87, 95 % CI =1.43, 2.44). Meta-regression analyses indicated that the relationship was mediated by age, with stronger effects in studies with higher mean age (p 0.004). We conclude that DCD is associated with obesity and overweight, and this association increases with age. Our study could help to implement targeted prevention and intervention measures.

BACKGROUND:We aimed to systematically review meta-analyses on the link between attention-deficit/hyperactivity disorder (ADHD) and a broad range of psychiatric, physical, and behavioral health conditions (PROSPERO; no.CRD42023448907). RESULTS:We identified 22 meta-analyses that included 544 primary studies, covering 76 unique conditions in over 234 million participants across 36 countries and six continents. We found high-certainty evidence for the associations between ADHD and neuropsychiatric conditions (bipolar disorders, personality disorders, schizophrenia, and pragmatic language skills), night awakenings, obesity, decayed incipient surfaces, asthma, astigmatism, hyperopia and hypermetropia, strabismus, and suicide ideation. Moderate-certainty evidence suggested that ADHD was associated with headache, mood/affective disorders, depression, bruxism, bone fractures, atopic rhinitis, vision problems, suicide attempts, completed suicide, and all-cause mortality. Low-certainty evidence indicated associations with eating disorders, sleep efficiency, type 2 diabetes, dental trauma prevalence, atopic diseases, and atopic dermatitis. Very low-certainty evidence showed associations between ADHD and several sleep parameters. CONCLUSION/CONCLUSIONS:We found varied levels of evidence for the associations of ADHD with multiple health conditions. Therefore, clinicians should consider a wide range of neurological, psychiatric, sleep and suicide-related, metabolic, musculoskeletal, oral, allergic, and visual conditions, as well as the increased risk of mortality when assessing individuals with ADHD.