Longitudinal Changes in Youth Mental Health From Before to During the COVID-19 Pandemic.

Importance: Robust longitudinal studies of within-child changes in mental health associated with the COVID-19 pandemic are lacking, as are studies examining sources of heterogeneity in such changes. Objective: To investigate within-child changes, overall and between subgroups, in youth mental health from prepandemic to midpandemic. Design, Setting, and Participants: This cohort study used longitudinal prepandemic and midpandemic data from the Environmental influences on Child Health Outcomes (ECHO) Program, collected between January 1, 2015, and March 12, 2020 (prepandemic), and between March 13, 2020, and August 31, 2022 (midpandemic). Data were analyzed between December 1, 2022, and June 1, 2024. The sample included 9 US-based observational longitudinal pediatric ECHO cohorts. Cohorts were included if they collected the Child Behavior Checklist (CBCL) School Age version before and during the pandemic on more than 20 participants of normal birth weight aged 6 to 17 years. Exposure: The COVID-19 pandemic. Main Outcomes and Measures: Prepandemic to midpandemic changes in CBCL internalizing, externalizing, depression, anxiety, and attention-deficit/hyperactivity disorder (ADHD) scores were estimated, and differences in outcome trajectories by child sociodemographic characteristics (age, sex, race, ethnicity, and poverty level) and prepandemic mental health problems were examined using established CBCL clinical score thresholds. Results: A total of 1229 participants (mean [SD] age during the pandemic, 10.68 [2.29] years; 625 girls [50.9%]) were included. The sample was socioeconomically diverse (197 of 1056 children [18.7%] lived at ≤130% of the Federal Poverty Level; 635 (51.7%) identified as White, 388 (31.6%) as Black, 147 (12.0%) as multiracial, 40 (3.3%) as another race, and 118 (9.6%) as Hispanic). Generalized linear mixed-effects models revealed minor decreases in externalizing problems (ß = -0.88; 95% CI, -1.16 to -0.60), anxiety (ß = -0.18; 95% CI, -0.31 to -0.05), and ADHD (ß = -0.36; 95% CI, -0.50 to -0.22), but a minor increase in depression (ß = 0.22; 95% CI, 0.10 to 0.35). Youth with borderline or clinically meaningful prepandemic scores experienced decreases across all outcomes, particularly externalizing problems (borderline, ß = -2.85; 95% CI, -3.92 to -1.78; clinical, ß = -4.88; 95% CI, -5.84 to -3.92). Low-income (ß = -0.76; 95% CI, -1.14 to -0.37) and Black (ß = -0.52; 95% CI, -0.83 to -0.20) youth experienced small decreases in ADHD compared with higher income and White youth, respectively. Conclusions and Relevance: In this longitudinal cohort study of economically and racially diverse US youth, there was evidence of differential susceptibility and resilience for mental health problems during the pandemic that was associated with prepandemic mental health and sociodemographic characteristics.

Influence of early childhood parental hostility and socioeconomic stress on children's internalizing symptom trajectories from childhood to adolescence.

Introduction: Children and adolescents with elevated internalizing symptoms are at increased risk for depression, anxiety, and other psychopathology later in life. The present study examined the predictive links between two bioecological factors in early childhood-parental hostility and socioeconomic stress-and children's internalizing symptom class outcomes, while considering the effects of child sex assigned at birth on internalizing symptom development from childhood to adolescence. Materials and Methods: The study used a sample of 1,534 children to test the predictive effects of socioeconomic stress at ages 18 and 27 months; hostile parenting measured at child ages 4-5; and sex assigned at birth on children's internalizing symptom latent class outcomes at child ages 7-9, 10-12, 13-15, and 16-19. Analyses also tested the mediating effect of parenting on the relationship between socioeconomic stress and children's symptom classes. Other covariates included parent depressive symptoms at child ages 4-5 and child race and ethnicity. Results: Analyses identified three distinct heterogenous internalizing symptom classes characterized by relative symptom levels and progression: low (35%); moderate and increasing (41%); and higher and increasing (24%). As anticipated, higher levels of parental hostility in early childhood predicted membership in the higher and increasing symptom class, compared with the low symptom class (odds ratio (OR) = .61, 95% confidence interval (CI) [.48,.77]). Higher levels of early childhood socioeconomic stress were also associated with the likelihood of belonging to the higher-increasing symptom class compared to the low and moderate-increasing classes (OR = .46, 95% CI [.35,.60] and OR = .56, 95% CI [.44,.72], respectively). The total (c = .61) and direct (c' = .57) effects of socioeconomic stress on children's symptom class membership in the mediation analysis were significant (p <.001). Discussion: Study findings suggest that intervening on modifiable bioecological stressors-including parenting behaviors and socioeconomic stressors-may provide important protective influences on children's internalizing symptom trajectories.

Associations between neighborhood characteristics and child well-being before and during the COVID-19 pandemic: A repeated cross-sectional study in the Environmental influences on Child Health Outcomes (ECHO) program.

The corona virus disease (COVID-19) pandemic disrupted daily life worldwide, and its impact on child well-being remains a major concern. Neighborhood characteristics affect child well-being, but how these associations were affected by the pandemic is not well understood. We analyzed data from 1039 children enrolled in the Environmental influences on Child Health Outcomes Program whose well-being was assessed using the Patient-Reported Outcomes Measurement Information System Global Health questionnaire and linked these data to American Community Survey (ACS) data to evaluate the impacts of neighborhood characteristics on child well-being before and during the pandemic. We estimated the associations between more than 400 ACS variables and child well-being t-scores stratified by race/ethnicity (non-Hispanic white vs. all other races and ethnicities) and the timing of outcome data assessment (pre-vs. during the pandemic). Network graphs were used to visualize the associations between ACS variables and child well-being t-scores. The number of ACS variables associated with well-being t-scores decreased during the pandemic period. Comparing non-Hispanic white with other racial/ethnic groups during the pandemic, different ACS variables were associated with child well-being. Multiple ACS variables representing census tract-level housing conditions and neighborhood racial composition were associated with lower well-being t-scores among non-Hispanic white children during the pandemic, while higher percentage of Hispanic residents and higher percentage of adults working as essential workers in census tracts were associated with lower well-being t-scores among non-white children during the same study period. Our study provides insights into the associations between neighborhood characteristics and child well-being, and how the COVID-19 pandemic affected this relationship.

Direct-to-participant recruitment of mothers and infants: A strategic approach during challenging pandemic times.

Under traditional circumstances, most clinical trials rely on in-person operations to identify, recruit, and enroll study participants and to complete study-related visits. During unusual circumstances, such as the COVID-19 pandemic, the typical clinical trial model is challenged and forced to explore alternative approaches to implementing study recruitment, participant enrollment, and data collection strategies. One such alternative is a direct-to-participant approach which leverages electronic resources and relevant technological devices (e.g., smart phones) available to researchers and patients. This approach functions under the assumption that a participant has access to a device that connects to the internet such as a smart phone, tablet, or computer. Researchers are then able to transition a typical paper-based, in-person model to an electronic-based, siteless, remote study. This article describes the challenges clinicians and researchers faced when implementing a direct-to-participant study approach during the COVID-19 pandemic. The lessons learned during this study of infant populations could help increase efficiency of future trials, specifically, by lessening the burden on participants and clinicians as well as streamlining the process for enrollment and data collection. While direct-to-adult participant recruitment is not a novel approach, our findings suggest that studies attempting to recruit the infant population may benefit from such a direct-to-participant approach.

Assessing the interchangeability of linked scores in multivariable statistical analyses.

PURPOSE: Using the lens of classical test theory, we examine a linkage's generalizability with respect to use in multivariable analyses, including multiple regression and structural equation modeling, rather than comparison of established subpopulations as is most common in the literature. METHODS: To aid in this evaluation, we present a structural-equation-modeling based statistical method to examine the suitability of a given linkage for use cases involving continuous and categorical variables external to the linkage itself. RESULTS: Using the PROMIS® Parent Proxy and Early Childhood Global Health measures, we show that, although a high correlation between the scores (here, r = .829) may imply a general suitability for linking, a more detailed investigation of content, measurement structure, and results of the proposed methodology reveal important differences between the measures which can compromise interchangeability in certain use cases. CONCLUSION: In addition to the statistical quality of a linkage, users of linking methodology should also assess the question of whether the linkage is appropriate to apply to particular use cases of interest.

Life satisfaction for adolescents with developmental and behavioral disabilities during the COVID-19 pandemic.

BACKGROUND: This study aimed to identify contextual factors associated with life satisfaction during the COVID-19 pandemic for adolescents with mental, emotional, behavioral, and developmental (MEBD) disabilities. METHODS: Data were collected from a sample of 1084 adolescents aged 11-21 years from April 2020 to August 2021. This cross-sectional study used a sequential machine learning workflow, consisting of random forest regression and evolutionary tree regression, to identify subgroups of adolescents in the Environmental influences on Child Health Outcomes (ECHO) consortium who demonstrated enhanced vulnerability to lower life satisfaction as described by intersecting risk factors, protective factors, and MEBD disabilities. RESULTS: Adolescents with a history of depression, anxiety, autism, and attention-deficit/hyperactivity disorder were particularly susceptible to decreased life satisfaction in response to unique combinations of stressors experienced during the COVID-19 pandemic. These stressors included decreased social connectedness, decreased family engagement, stress related to medical care access, pandemic-related traumatic stress, and single-caregiver households. CONCLUSION: Findings from this study highlight the importance of interventions aimed specifically at increasing adolescent social connectedness, family engagement, and access to medical support for adolescents with MEBD disabilities, particularly in the face of stressors, such as a global pandemic. IMPACT: Through a machine learning process, we identified contextualized risks associated with life satisfaction among adolescents with neurodevelopmental disabilities during the COVID-19 pandemic. The COVID-19 pandemic resulted in large-scale social disruptions for children and families. Such disruptions were associated with worse mental health outcomes in the general pediatric population, but few studies have examined specific subgroups who may be at heightened risk. We endeavored to close that gap in knowledge. This study highlights the importance of social connectedness, family engagement, and access to medical support as contributing factors to life satisfaction during the COVID-19 pandemic for adolescents with neurodevelopmental disabilities.

Trends in COVID-19 diagnoses and outcomes in infants hospitalized in the neonatal intensive care unit.

OBJECTIVE: Characterize the prevalence of coronavirus disease 2019 (COVID-19) diagnosis among mothers with infants hospitalized in 294 neonatal intensive care units (NICUs), and demographics and outcomes of infants with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure in utero. STUDY DESIGN: Cohort study of infants discharged from NICUs 01/2020-09/2021. We defined groups based on infant diagnosis, infant testing, and maternal SARS-CoV-2 infection status. We compared demographics, clinical characteristics, and outcomes. RESULTS: Of 150,924 infants, 94% had no COVID-related diagnosis or test; 247 (0.2%) infants tested positive for COVID-19 and were more likely to require mechanical ventilation. Infants with unknown maternal status and negative testing were more commonly premature, outborn, and had longer hospitalizations. CONCLUSION: In this large cohort of hospitalized infants, most had no known exposure to COVID-19. Adverse outcomes and mortality were rare. Further studies are needed to evaluate the long-term effects of COVID-19 in this population.

Associations between COVID-19-related family hardships/distress and children's Adverse Childhood Experiences during the pandemic: The Environmental influences on Child Health Outcomes (ECHO) program.

BACKGROUND: Economic hardships imposed by the pandemic could have implications for children's experiences of adversity in the home, or Adverse Childhood Experiences (ACEs). OBJECTIVE: This observational cohort study examined associations between COVID-19-related hardships and distress (e.g., job loss, caregiver stress) and the cumulative number of child ACEs reported by caregivers during the pandemic (i.e., March 1, 2020-February 28, 2022). PARTICIPANTS AND SETTING: The study included children (N = 4345; median age = 6.0 years, interquartile range = 4-9 years) and their parents/caregivers who participated in the NIH-funded Environmental influences in Child Health Outcomes (ECHO) Program. METHODS: We described socio-demographic characteristics and pandemic-related family hardships/distress and cumulative child ACE scores reported during pre-pandemic and pandemic periods. We used negative binomial regression models to evaluate associations between pandemic-related family hardships and cumulative child ACE scores reported during the pandemic. RESULTS: Each caregiver-reported hardship/distress was associated with higher child ACE scores reported during the pandemic. After accounting for pre-pandemic child ACE scores, moderate and severe symptoms of pandemic-related traumatic stress among caregivers were associated with 108 % and 141 % higher child ACE scores reported during the pandemic, respectively, compared with no or low caregiver symptoms. In addition, finance-related stress during the pandemic was associated with 47 % higher child ACE scores. After adjusting for pre-pandemic child experiences of neglect, most sources of stress remained significantly associated with higher child ACE scores reported during the pandemic, particularly severe/very severe symptoms of pandemic-related traumatic stress among caregivers. Findings held for children with no known pre-pandemic ACEs. CONCLUSIONS: This research suggests that caregivers experiencing financial hardships and those with severe pandemic-related traumatic stress may require additional support systems during stressful events.

Modeling the normal:abnormal spectrum of early childhood internalizing behaviors: A clinical-developmental approach for the Multidimensional Assessment Profiles Internalizing Dimensions.

BACKGROUND: We expanded the Multidimensional Assessment Profiles (MAPS) Scales developmental specification model to characterize the normal:abnormal spectrum of internalizing (anxious and depressive) behaviors in early childhood via the MAPS-Internalizing (MAPS-INT) scale. METHODS: The MAPS-INT item pool was generated based on clinical expertise and prior research. Analyses were conducted on a sub-sample of families (n = 183) from the diverse When to Worry early childhood sample. RESULTS: Normal:abnormal descriptive patterns for both anxious and depressive behaviors were consistent with prior work: (1) extremes of normative variation are abnormal when very frequent; and (2) pathognomonic indicators that most children do not engage in and are abnormal, even if infrequent. Factor analysis revealed a two-factor MAPS-INT Anxious Behaviors structure (Fearful-Worried and Separation Distress) and a unidimensional MAPS-INT Depressive Behaviors factor with good fit and good-to-excellent test-retest reliability and validity. CONCLUSIONS: We characterized the normal:abnormal spectrum of internalizing behaviors in early childhood via the MAPS-INT. Future research in larger representative samples can replicate and extend findings, including clinical thresholds and predictive utility. The MAPS-INT helps lay the groundwork for dimensional characterization of the internalizing spectrum to advance neurodevelopmental approaches to emergent psychopathology and its earlier identification.

Development and psychometric validation of the Pandemic-Related Traumatic Stress Scale for children and adults.

To assess the public health impact of the COVID-19 pandemic on mental health, investigators from the National Institutes of Health Environmental influences on Child Health Outcomes (ECHO) research program developed the Pandemic-Related Traumatic Stress Scale (PTSS). Based on the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) acute stress disorder symptom criteria, the PTSS is designed for adolescent (13-21 years) and adult self-report and caregiver-report on 3-12-year-olds. To evaluate psychometric properties, we used PTSS data collected between April 2020 and August 2021 from non-pregnant adult caregivers (n = 11,483), pregnant/postpartum individuals (n = 1,656), adolescents (n = 1,795), and caregivers reporting on 3-12-year-olds (n = 2,896). We used Mokken scale analysis to examine unidimensionality and reliability, Pearson correlations to evaluate relationships with other relevant variables, and analyses of variance to identify regional, age, and sex differences. Mokken analysis resulted in a moderately strong, unidimensional scale that retained nine of the original 10 items. We detected small to moderate positive associations with depression, anxiety, and general stress, and negative associations with life satisfaction. Adult caregivers had the highest PTSS scores, followed by adolescents, pregnant/postpartum individuals, and children. Caregivers of younger children, females, and older youth had higher PTSS scores compared to caregivers of older children, males, and younger youth, respectively. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Caregiver Perceived Stress and Child Sleep Health: An Item-Level Individual Participant Data Meta-Analysis.

Up to 50% of children and adolescents in the United States (U.S.) experience sleep problems. While existing research suggests that perceived stress in caregivers is associated with poorer sleep outcomes in children, research on this relationship is often limited to infant and early childhood populations; therefore, we investigated this association in school-age children and adolescents. We used cross-sectional caregiver-reported surveys and applied item response theory (IRT) followed by meta-analysis to assess the relationship between caregiver perceived stress and child sleep disturbance, and moderation of this relationship by child age and the presence of a child mental or physical health condition. We analyzed data from the National Institutes of Health (NIH) Environmental influences on Child Health Outcomes (ECHO) Program, a collaboration of existing pediatric longitudinal cohort studies that collectively contribute a diverse and large sample size ideal for addressing questions related to children's health and consolidating results across population studies. Participants included caregivers of children ages 8 to 16 years from four ECHO cohorts. Caregiver perceived stress was measured using the Perceived Stress Scale (PSS), and child sleep disturbance was assessed using five sleep-related items from the School-Age version of the Child Behavior Checklist (CBCL). Increases in caregiver perceived stress and child mental or physical health condition were independently associated with greater sleep disturbance among children. The findings reinforce the importance of accounting for, and potentially intervening on, the broader family context and children's mental and physical health in the interest of improving sleep health.

Linking the Perceived Stress Scale to the PROMIS Psychological Stress Experiences-Pediatric in adolescents.

The Perceived Stress Scale (PSS) and PROMIS Psychological Stress Experiences-Pediatric (PPSE) are two self-report instruments that have been used with adolescents to measure subjective feelings of stress. Stress is a critical construct to evaluate, as chronic stress can result in negative long-term consequences for an individual's physical and mental health. While the PSS is more commonly used in research and clinical practice, use of the PPSE is becoming more widespread. This increased usage necessitates a way to compare the measures, for example, when changing which instrument is used in practice or when combining data from the two measures in pooled analysis. After assessing linking assumptions, we used equipercentile linking to score-link the two measures on the raw score and T-score metrics for both longer forms (10 PSS items; 8 PPSE items) and shorter forms (4 PSS or PPSE items), yielding crosswalk tables (Open Science Framework: https://osf.io/9pzyk/) to convert scores on each measure to the metric of the other. Raw scores between measures (.670 ≤ r ≤ .794) were not sufficiently correlated for score linking. Therefore, linked scores were treated as predictions, rather than counterfactual values on the alternative measure. Further, confirmatory factor analyses revealed that this low correlation was primarily due to the low reliability and multidimensionality of the PSS, and the derived linking functions were found to have minimal bias. Recommendations for the use of these conversion tables by researchers and practitioners are provided. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Sociodemographic Differences in COVID-19 Pandemic Experiences Among Families in the United States.

Importance: Few population-based studies in the US collected individual-level data from families during the COVID-19 pandemic. Objective: To examine differences in COVID-19 pandemic-related experiences in a large sociodemographically diverse sample of children and caregivers. Design, Setting, and Participants: The Environmental influences on Child Health Outcomes (ECHO) multi-cohort consortium is an ongoing study that brings together 64 individual cohorts with participants (24 757 children and 31 700 caregivers in this study) in all 50 US states and Puerto Rico. Participants who completed the ECHO COVID-19 survey between April 2020 and March 2022 were included in this cross-sectional analysis. Data were analyzed from July 2021 to September 2022. Main Outcomes and Measures: Exposures of interest were caregiver education level, child life stage (infant, preschool, middle childhood, and adolescent), and urban or rural (population <50 000) residence. Dependent variables included COVID-19 infection status and testing; disruptions to school, child care, and health care; financial hardships; and remote work. Outcomes were examined separately in logistic regression models mutually adjusted for exposures of interest and race, ethnicity, US Census division, sex, and survey administration date. Results: Analyses included 14 646 children (mean [SD] age, 7.1 [4.4] years; 7120 [49%] female) and 13 644 caregivers (mean [SD] age, 37.6 [7.2] years; 13 381 [98%] female). Caregivers were racially (3% Asian; 16% Black; 12% multiple race; 63% White) and ethnically (19% Hispanic) diverse and comparable with the US population. Less than high school education (vs master's degree or more) was associated with more challenges accessing COVID-19 tests (adjusted odds ratio [aOR], 1.88; 95% CI, 1.06-1.58), lower odds of working remotely (aOR, 0.04; 95% CI, 0.03-0.07), and more food access concerns (aOR, 4.14; 95% CI, 3.20-5.36). Compared with other age groups, young children (age 1 to 5 years) were least likely to receive support from schools during school closures, and their caregivers were most likely to have challenges arranging childcare and concerns about work impacts. Rural caregivers were less likely to rank health concerns (aOR, 0.77; 95% CI, 0.69-0.86) and social distancing (aOR, 0.82; 95% CI, 0.73-0.91) as top stressors compared with urban caregivers. Conclusions: Findings in this cohort study of US families highlighted pandemic-related burdens faced by families with lower socioeconomic status and young children. Populations more vulnerable to public health crises should be prioritized in recovery efforts and future planning.

Opportunities for understanding the COVID-19 pandemic and child health in the United States: the Environmental influences on Child Health Outcomes (ECHO) program.

Objective: Ongoing pediatric cohort studies offer opportunities to investigate the impact of the COVID-19 pandemic on children's health. With well-characterized data from tens of thousands of US children, the Environmental influences on Child Health Outcomes (ECHO) Program offers such an opportunity. Methods: ECHO enrolled children and their caregivers from community- and clinic-based pediatric cohort studies. Extant data from each of the cohorts were pooled and harmonized. In 2019, cohorts began collecting data under a common protocol, and data collection is ongoing with a focus on early life environmental exposures and five child health domains: birth outcomes, neurodevelopment, obesity, respiratory, and positive health. In April of 2020, ECHO began collecting a questionnaire designed to assess COVID-19 infection and the pandemic's impact on families. We describe and summarize the characteristics of children who participated in the ECHO Program during the COVID-19 pandemic and novel opportunities for scientific advancement. Results: This sample (n = 13,725) was diverse by child age (31% early childhood, 41% middle childhood, and 16% adolescence up to age 21), sex (49% female), race (64% White, 15% Black, 3% Asian, 2% American Indian or Alaska Native, <1% Native Hawaiian or Pacific Islander, 10% Multiple race and 2% Other race), Hispanic ethnicity (22% Hispanic), and were similarly distributed across the four United States Census regions and Puerto Rico. Conclusion: ECHO data collected during the pandemic can be used to conduct solution-oriented research to inform the development of programs and policies to support child health during the pandemic and in the post-pandemic era.

A short form of the Crisis in Family Systems (CRISYS) in a racially diverse sample of pregnant women.

Assessing stressful life events in large-scale epidemiologic studies is challenged by the need to measure potential stressful events in a reasonably comprehensible manner balanced with burden on participants and research staff. The aim of this paper was to create a short form of the Crisis in Family Systems-Revised (CRISYS-R) plus 17 acculturation items, a measure that captures contemporary life stressors across 11 domains. Latent class analysis (LCA) was used to segment the sample of 884 women from the PRogramming of Intergenerational Stress Mechanisms (PRISM) study experiencing different patterns of exposure to stressful events and identify items from each domain that best discriminate between individuals with different patterns of stressful-event exposures (high vs. low stress exposure). The results from the LCA, in conjunction with the expert opinions provided by the original developers of the CRISYS, yielded a 24-item item short form (CRISYS-SF) with at least one question from each of the original domains. Scores on the 24-item CRISYS-SF had high correlations with scores on the 80-item CRISYS. Supplementary Information: The online version contains supplementary material available at 10.1007/s12144-021-02335-w.

Assessment of Psychosocial and Neonatal Risk Factors for Trajectories of Behavioral Dysregulation Among Young Children From 18 to 72 Months of Age.

Importance: Emotional and behavioral dysregulation during early childhood are associated with severe psychiatric, behavioral, and cognitive disorders through adulthood. Identifying the earliest antecedents of persisting emotional and behavioral dysregulation can inform risk detection practices and targeted interventions to promote adaptive developmental trajectories among at-risk children. Objective: To characterize children's emotional and behavioral regulation trajectories and examine risk factors associated with persisting dysregulation across early childhood. Design, Setting, and Participants: This cohort study examined data from 20 United States cohorts participating in Environmental influences on Child Health Outcomes, which included 3934 mother-child pairs (singleton births) from 1990 to 2019. Statistical analysis was performed from January to August 2022. Exposures: Standardized self-reports and medical data ascertained maternal, child, and environmental characteristics, including prenatal substance exposures, preterm birth, and multiple psychosocial adversities. Main Outcomes and Measures: Child Behavior Checklist caregiver reports at 18 to 72 months of age, with Dysregulation Profile (CBCL-DP = sum of anxiety/depression, attention, and aggression). Results: The sample included 3934 mother-child pairs studied at 18 to 72 months. Among the mothers, 718 (18.7%) were Hispanic, 275 (7.2%) were non-Hispanic Asian, 1220 (31.8%) were non-Hispanic Black, 1412 (36.9%) were non-Hispanic White; 3501 (89.7%) were at least 21 years of age at delivery. Among the children, 2093 (53.2%) were male, 1178 of 2143 with Psychosocial Adversity Index [PAI] data (55.0%) experienced multiple psychosocial adversities, 1148 (29.2%) were exposed prenatally to at least 1 psychoactive substance, and 3066 (80.2%) were term-born (≥37 weeks' gestation). Growth mixture modeling characterized a 3-class CBCL-DP trajectory model: high and increasing (2.3% [n = 89]), borderline and stable (12.3% [n = 479]), and low and decreasing (85.6% [n = 3366]). Children in high and borderline dysregulation trajectories had more prevalent maternal psychological challenges (29.4%-50.0%). Multinomial logistic regression analyses indicated that children born preterm were more likely to be in the high dysregulation trajectory (adjusted odds ratio [aOR], 2.76; 95% CI, 2.08-3.65; P < .001) or borderline dysregulation trajectory (aOR, 1.36; 95% CI, 1.06-1.76; P = .02) vs low dysregulation trajectory. High vs low dysregulation trajectories were less prevalent for girls compared with boys (aOR, 0.60; 95% CI, 0.36-1.01; P = .05) and children with lower PAI (aOR, 1.94; 95% CI, 1.51-2.49; P < .001). Combined increases in PAI and prenatal substance exposures were associated with increased odds of high vs borderline dysregulation (aOR, 1.28; 95% CI, 1.08-1.53; P = .006) and decreased odds of low vs high dysregulation (aOR, 0.77; 95% CI, 0.64-0.92; P = .005). Conclusions and Relevance: In this cohort study of behavioral dysregulation trajectories, associations were found with early risk factors. These findings may inform screening and diagnostic practices for addressing observed precursors of persisting dysregulation as they emerge among at-risk children.

Health Care Utilization During the COVID-19 Pandemic Among Individuals Born Preterm.

Importance: Limited data exist on pediatric health care utilization during the COVID-19 pandemic among children and young adults born preterm. Objective: To investigate differences in health care use related to COVID-19 concerns during the pandemic among children and young adults born preterm vs those born at term. Design, Setting, and Participants: In this cohort study, questionnaires regarding COVID-19 and health care utilization were completed by 1691 mother-offspring pairs from 42 pediatric cohorts in the National Institutes of Health Environmental Influences on Child Health Outcomes Program. Children and young adults (ages 1-18 years) in these analyses were born between 2003 and 2021. Data were recorded by the August 31, 2021, data-lock date and were analyzed between October 2021 and October 2022. Exposures: Premature birth (<37 weeks' gestation). Main Outcomes and Measures: The main outcome was health care utilization related to COVID-19 concerns (hospitalization, in-person clinic or emergency department visit, phone or telehealth evaluations). Individuals born preterm vs term (≥37 weeks' gestation) and differences among preterm subgroups of individuals (<28 weeks', 28-36 weeks' vs ≥37 weeks' gestation) were assessed. Generalized estimating equations assessed population odds for health care used and related symptoms, controlling for maternal age, education, and psychiatric disorder; offspring history of bronchopulmonary dysplasia (BPD) or asthma; and timing and age at COVID-19 questionnaire completion. Results: Data from 1691 children and young adults were analyzed; among 270 individuals born preterm, the mean (SD) age at survey completion was 8.8 (4.4) years, 151 (55.9%) were male, and 193 (71.5%) had a history of BPD or asthma diagnosis. Among 1421 comparison individuals with term birth, the mean (SD) age at survey completion was 8.4 (2.4) years, 749 (52.7%) were male, and 233 (16.4%) had a history of BPD or asthma. Preterm subgroups included 159 individuals (58.5%) born at less than 28 weeks' gestation. In adjusted analyses, individuals born preterm had a significantly higher odds of health care utilization related to COVID-19 concerns (adjusted odds ratio [aOR], 1.70; 95% CI, 1.21-2.38) compared with term-born individuals; similar differences were also seen for the subgroup of individuals born at less than 28 weeks' gestation (aOR, 2.15; 95% CI, 1.40-3.29). Maternal history of a psychiatric disorder was a significant covariate associated with health care utilization for all individuals (aOR, 1.44; 95% CI, 1.17-1.78). Conclusions and Relevance: These findings suggest that during the COVID-19 pandemic, children and young adults born preterm were more likely to have used health care related to COVID-19 concerns compared with their term-born peers, independent of a history of BPD or asthma. Further exploration of factors associated with COVID-19-related health care use may facilitate refinement of care models.

Intergenerational transmission of the effects of maternal exposure to childhood maltreatment in the USA: a retrospective cohort study.

BACKGROUND: Childhood maltreatment is associated with adverse health outcomes and this risk can be transmitted to the next generation. We aimed to investigate the association between exposure to maternal childhood maltreatment and common childhood physical and mental health problems, neurodevelopmental disorders, and related comorbidity patterns in offspring. METHODS: We conducted a retrospective cohort study using data from the Environmental influences on Child Health Outcomes (ECHO) Program, which was launched to investigate the influence of early life exposures on child health and development in 69 cohorts across the USA. Eligible mother-child dyads were those with available data on maternal childhood maltreatment exposure and at least one child health outcome measure (autism spectrum disorder, attention-deficit hyperactivity disorder [ADHD], internalising problems, obesity, allergy, and asthma diagnoses). Maternal history of childhood maltreatment was obtained retrospectively from the Adverse Childhood Experiences or Life Stressor Checklist questionnaires. We derived the prevalence of the specified child health outcome measures in offspring across childhood and adolescence by harmonising caregiver reports and other relevant sources (such as medical records) across cohorts. Child internalising symptoms were assessed using the Child Behavior Checklist. Associations between maternal childhood maltreatment and childhood health outcomes were measured using a series of mixed-effects logistic regression models. Covariates included child sex (male or female), race, and ethnicity; maternal and paternal age; maternal education; combined annual household income; maternal diagnosis of depression, asthma, ADHD, allergy, or autism spectrum disorder; and maternal obesity. Two latent class analyses were conducted: to characterise patterns of comorbidity of child health outcomes; and to characterise patterns of co-occurrence of childhood maltreatment subtypes. We then investigated the association between latent class membership and maternal childhood maltreatment and child health outcomes, respectively. FINDINGS: Our sample included 4337 mother-child dyads from 21 longitudinal cohorts (with data collection initiated between 1999 and 2016). Of 3954 mothers in the study, 1742 (44%) had experienced exposure to abuse or neglect during their childhood. After adjustment for confounding, mothers who experienced childhood maltreatment were more likely to have children with internalising problems in the clinical range (odds ratio [OR] 2·70 [95% CI 1·95-3·72], p<0·0001), autism spectrum disorder (1·70 [1·13-2·55], p=0·01), ADHD (2·09 [1·63-2·67], p<0·0001), and asthma (1·54 [1·34-1·77], p<0·0001). In female offspring, maternal childhood maltreatment was associated with a higher prevalence of obesity (1·69 [1·17-2·44], p=0·005). Children of mothers exposed to childhood maltreatment were more likely to exhibit a diagnostic pattern characterised by higher risk for multimorbidity. Exposure to multiple forms of maltreatment across all subtypes of maternal childhood maltreatment was associated with the highest risk increases for most offspring health outcomes, suggesting a dose-response relationship. INTERPRETATION: Our findings suggest that maternal childhood maltreatment experiences can be a risk factor for disease susceptibility in offspring across a variety of outcomes and emphasise the need for policies focusing on breaking the intergenerational transmission of adversity. FUNDING: Environmental influences on Child Health Outcomes Program, Office of the Director, National Institutes of Health.

Parental self-efficacy managing a child's medications and treatments: adaptation of a PROMIS measure.

PURPOSE: Self-efficacy is important for managing chronic conditions; however, its measurement in pediatric healthcare settings remains rare. The goal of this project was to adapt an existing disease-agnostic adult self-efficacy patient reported outcome (PRO) measure to enhance suitability of items for measuring the self-efficacy of parents that manage their children's health conditions. METHODS: We adapted the existing Patient-Reported Outcomes Measurement Information System® (PROMIS®) adult self-efficacy healthcare measure to parental voice. First, a targeted literature review informed rephrasing of the adult items and identification of new pediatric-specific content. The initial item pool was revised based on input from 12 multidisciplinary experts. Next cognitive interviews of adapted items were simultaneously conducted with English and Spanish-speaking parents of pediatric patients with a range of chronic and/or disabling conditions recruited from a Midwestern children's hospital to finalize the measure. RESULTS: Findings resulted in an initial item pool of 33 pediatric-specific items which were narrowed to 31 draft items based on expert input. Parent cognitive interview findings (N = 26) informed further item reduction resulting in a final measure consisting of 30 items representing nine domains. Fourteen items are relevant to children regardless of condition severity (e.g., health care information/decision making; symptom identification/management) and 16 items are relevant to children with specific health care needs (e.g., medication usage, equipment). CONCLUSION: We conducted a first step in developing a condition-agnostic, PRO measure of parental self-efficacy managing their children's chronic and/or disabling conditions that is acceptable and understandable to English and Spanish-speaking parents.

Self-efficacy, which is someone's confidence in completing a task, is important for managing a chronic health condition. Knowing parents' self-efficacy managing their children's health conditions may be an important step in supporting their children's health but no single measure is available for diverse sets of conditions. In this paper, we present the development of a new patient reported outcomes measure designed to assess self-efficacy of parents managing their child's chronic and/or disabling conditions. We found that the measure is both acceptable and understandable to English and Spanish speakers and may be useful to proactively identify parents in need of additional supports at hospital discharge or at the time of a new diagnosis.

Sleep-related items on the school-age CBCL and the PROMIS sleep disturbance 4-item short-form: A psychometric comparison from the Environmental Influences on Child Health Outcomes (ECHO) program.

The Child Behavior Checklist (CBCL) parent-report school-age form, a broad instrument widely used to evaluate youth's emotional and behavioral functioning, includes seven sleep-related items. These items are not an official subscale of the CBCL, but researchers have used them as a measure of general sleep problems. The primary objective of the present study was to evaluate the construct validity of the CBCL sleep items with a validated measure of sleep disturbance, the Patient-Reported Outcomes Measurement Information System Parent Proxy Short Form-Sleep Disturbance 4a (PSD4a). To do so, we used coadministered data on the two measures from 953 participants ages 5-18 years in the National Institutes of Health Environmental influences on Child Health Outcomes research program. Exploratory factor analysis (EFA) revealed two CBCL items were strictly jointly unidimensional with the PSD4a. To help prevent floor effects, we conducted further analyses that revealed three additional CBCL items could be included as an ad hoc measure of sleep disturbance. However, the PSD4a remains a psychometrically superior measure of child sleep disturbance. Researchers using these CBCL items to measure child sleep disturbance should account for these psychometric issues in their analysis and/or interpretation. (PsycInfo Database Record (c) 2023 APA, all rights reserved).