Article

Bio-Psycho-Sociocultural Lens Highlights Racial and Ethnic Inequities in Neuropsychological Outcomes Following COVID-19

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Abstract

This narrative review investigates racial and ethnic inequities in children with a history of coronavirus disease 2019 (COVID-19), focusing on neuropsychological outcomes using a bio-psycho-sociocultural approach. We conducted literature searches in PubMed, PsycINFO, ERIC, and Web of Science and analyzed public-use data from the Centers for Disease Control and Prevention (CDC) from the start of the pandemic to March 17, 2023. Public-use data from the CDC were analyzed to establish inequities in pediatric COVID-19 cases. Results indicate that children marginalized by race and ethnicity are disproportionately affected by COVID-19. Our findings show that racial and ethnic inequities in children with a history of COVID-19 can be effectively examined using a bio-psycho-sociocultural conceptual model. While biological and psychological factors contribute to illness severity and stress responses, sociocultural factors, such as discrimination, systemic racism, intergenerational trauma, and medical mistrust, exacerbate these inequities. Positive sociocultural factors highlighted the importance of language, proper nutrition, school support for diverse cultures, and open family discussions in fostering resilience and well-being among children from diverse racial and ethnic backgrounds. Furthermore, there are limited studies on neuropsychological outcomes in children from various racial and ethnic backgrounds with a history of COVID-19. Therefore, longitudinal research, educational interventions, and culturally sensitive clinical practice can help address these disparities and promote better access to care for children affected by COVID-19.

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Background: The majority of coronavirus disease 2019 (COVID-19) symptom presentations in adults and children appear to run their course within a couple of weeks. However, a subgroup of adults has started to emerge with effects lasting several months or more after initial infection, which raises questions about the long-term physical, mental and social health effects of COVID-19 in the pediatric population. The purpose of this review was to determine these impacts well into the second year of the pandemic. Methods: A search was conducted using PubMed, Web of Science, Science Direct, and Cochrane between 11/1/2019 and 9/1/2021. Search inclusion criteria were as follows: (1) COVID-19 illness and symptoms in children; (2) severe acute respiratory syndrome coronavirus 2 in children; (3) English language; and (4) human studies only. Results: The few studies that have documented long-term physical symptoms in children show that fatigue, difficulty in concentrating (brain fog), sleep disturbances, and sensory problems are the most reported outcomes. Most studies examining the impact of COVID-19 in pediatric populations have focused on initial clinical presentation, and symptoms, which are similar to those in adult populations. In addition, COVID-19 has had a moderate impact on children and adolescents' social environment, which may exacerbate current and future physiological, psychological, behavioral, and academic outcomes. Conclusions: There are limited studies reporting long physical symptoms of COVID-19 in the pediatric population. However, pediatric COVID-19 cases are underreported due to low rates of testing and symptomatic infection, which calls for more longitudinal studies. Children who have experienced COVID-19 illness should be monitored for long physiological, psychological, behavioral, and academic outcomes.
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The COVID-19 pandemic has resulted in a disproportionate burden on racial and ethnic minority groups, but incompleteness in surveillance data limits understanding of disparities. CDC’s case-based surveillance system contains most COVID-19 cases in the United States. Data analyzed in this paper contain COVID-19 cases with case-level information through September 25, 2020, which represent 70.9% of all COVID-19 cases reported to CDC during the period. Case-level surveillance data are used to investigate COVID-19 disparities by race/ethnicity, sex, and age. However, demographic information on race and ethnicity is missing for a substantial percentage of COVID-19 cases (e.g., 35.8% and 47.2% of cases analyzed were missing race and ethnicity information, respectively). Our goal in this study was to impute missing race and ethnicity to derive more accurate incidence and incidence rate ratio (IRR) estimates for different racial and ethnic groups, and evaluate the results from imputation compared to complete case analysis, which involves removing cases with missing race/ethnicity information from the analysis. Two multiple imputation (MI) models were developed. Model 1 imputes race using six binary race variables, and Model 2 imputes race as a composite multinomial variable. Our evaluation found that compared with complete case analysis, MI reduced biases and improved coverage on incidence and IRR estimates for all race/ethnicity groups, except for the Non-Hispanic Multiple/other groups. Our research highlights the importance of supplementing complete case analysis with additional methods of analysis to better describe racial and ethnic disparities. When race and ethnicity data are missing, multiple imputation may provide more accurate incidence and IRR estimates to monitor these disparities in tandem with efforts to improve the collection of race and ethnicity information for pandemic surveillance.
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Background: Coronavirus disease 2019 (COVID-19) has been the most important global issue since December 2019. Although the clinical course of COVID-19 is known to be milder in children than in adults, associated hospitalizations among children have increased since the emergence of contagious severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants and the achievement of a high vaccination rate in adults. Considering these global and domestic situations, we believe that risk stratification in children with COVID-19 is urgently needed for decision making regarding hospitalization priority in children infected with SARS-CoV-2 and vaccination priority against COVID-19. Methods: This systematic review and meta-analysis was performed by comprehensively searching the PubMed, EMBASE, Scopus and KoreaMed databases through August 25, 2021. The criteria for enrollment were "severe COVID-19" as poor outcomes (intensive care unit admission, invasive mechanical ventilation, and/or death) and underlying comorbidities before SARS-CoV-2 infection. Results: Among 872 screened studies, 17 articles were included in the systematic review, and 10 articles were included in the meta-analysis. Neonate (risk ratio [RR], 2.69; 95% confidence interval [CI], 1.83-3.97), prematurity in young infants (RR, 2.00; 95% CI, 1.63-2.46), obesity (RR, 1.43; 95% CI, 1.24-1.64), diabetes (RR, 2.26; 95% CI, 1.95-2.62), chronic lung disease (RR, 2.62; 95% CI, 1.71-4.00), heart disease (RR, 1.82; 95% CI, 1.58-2.09), neurologic disease (RR, 1.18; 95% CI, 1.05-1.33), and immunocompromised status (RR, 1.44; 95% CI, 1.01-2.04) were significant risk factors for severe COVID-19 in children. In the subgroup analysis, age younger than 3 months (RR, 0.26; 95% CI, 0.11-0.66), asthma (RR, 1.08; 95% CI, 0.98-1.20), and neurodevelopmental disorders (RR, 0.88; 95% CI, 0.75-1.04) were not risk factors for severe COVID-19. Conclusion: Children with comorbidities such as obesity, diabetes, heart disease, chronic lung diseases other than asthma, seizure disorders, and an immunocompromised status had a high prevalence of severe COVID-19. Neonate and premature infants had a high risk of severe COVID-19. Defining the high-risk group for severe COVID-19 could help to guide hospital admission and priority for vaccination against SARS-CoV-2.
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Problem/condition: Autism spectrum disorder (ASD). Period covered: 2018. Description of system: The Autism and Developmental Disabilities Monitoring (ADDM) Network conducts active surveillance of ASD. This report focuses on the prevalence and characteristics of ASD among children aged 8 years in 2018 whose parents or guardians lived in 11 ADDM Network sites in the United States (Arizona, Arkansas, California, Georgia, Maryland, Minnesota, Missouri, New Jersey, Tennessee, Utah, and Wisconsin). To ascertain ASD among children aged 8 years, ADDM Network staff review and abstract developmental evaluations and records from community medical and educational service providers. In 2018, children met the case definition if their records documented 1) an ASD diagnostic statement in an evaluation (diagnosis), 2) a special education classification of ASD (eligibility), or 3) an ASD International Classification of Diseases (ICD) code. Results: For 2018, across all 11 ADDM sites, ASD prevalence per 1,000 children aged 8 years ranged from 16.5 in Missouri to 38.9 in California. The overall ASD prevalence was 23.0 per 1,000 (one in 44) children aged 8 years, and ASD was 4.2 times as prevalent among boys as among girls. Overall ASD prevalence was similar across racial and ethnic groups, except American Indian/Alaska Native children had higher ASD prevalence than non-Hispanic White (White) children (29.0 versus 21.2 per 1,000 children aged 8 years). At multiple sites, Hispanic children had lower ASD prevalence than White children (Arizona, Arkansas, Georgia, and Utah), and non-Hispanic Black (Black) children (Georgia and Minnesota). The associations between ASD prevalence and neighborhood-level median household income varied by site. Among the 5,058 children who met the ASD case definition, 75.8% had a diagnostic statement of ASD in an evaluation, 18.8% had an ASD special education classification or eligibility and no ASD diagnostic statement, and 5.4% had an ASD ICD code only. ASD prevalence per 1,000 children aged 8 years that was based exclusively on documented ASD diagnostic statements was 17.4 overall (range: 11.2 in Maryland to 29.9 in California). The median age of earliest known ASD diagnosis ranged from 36 months in California to 63 months in Minnesota. Among the 3,007 children with ASD and data on cognitive ability, 35.2% were classified as having an intelligence quotient (IQ) score ≤70. The percentages of children with ASD with IQ scores ≤70 were 49.8%, 33.1%, and 29.7% among Black, Hispanic, and White children, respectively. Overall, children with ASD and IQ scores ≤70 had earlier median ages of ASD diagnosis than children with ASD and IQ scores >70 (44 versus 53 months). Interpretation: In 2018, one in 44 children aged 8 years was estimated to have ASD, and prevalence and median age of identification varied widely across sites. Whereas overall ASD prevalence was similar by race and ethnicity, at certain sites Hispanic children were less likely to be identified as having ASD than White or Black children. The higher proportion of Black children compared with White and Hispanic children classified as having intellectual disability was consistent with previous findings. Public health action: The variability in ASD prevalence and community ASD identification practices among children with different racial, ethnic, and geographical characteristics highlights the importance of research into the causes of that variability and strategies to provide equitable access to developmental evaluations and services. These findings also underscore the need for enhanced infrastructure for diagnostic, treatment, and support services to meet the needs of all children.
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Background The COVID-19 pandemic has resulted in many changes to the lives of children and young people. Our aim is to explore the impact of the pandemic on the mental health of children and young people (ages 5–21). Methods The Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines was used to report the findings of this rapid review. Results Children and young people are potentially very vulnerable to the emotional impact of traumatic events that disrupt their daily lives. Key areas of concern include: Death Anxiety and Fear of Infection; lack of social interaction and loss of routine. Conclusions Despite some early and responsive studies, the evidence base for pandemic impact on children and young people is very limited. Such evidence is urgently needed if adequate and responsive services, that can mitigate the long-term impact of the pandemic for children and young people can be established.
Article
Purpose The purpose of the study was to describe differences in non-Hispanic Black (NHB) and non-Hispanic White (NHW) parents’ perceptions of factors that influence the use of diabetes technology. Methods Focus groups were conducted with parents of NHB and NHW children at a pediatric diabetes center in the Northeast United States. Kilbourne’s health disparities framework informed the focus group guide and a priori coding for directed content analysis. Further analysis allowed subcategories to emerge inductively. Results Twenty-one parents participated. Five subcategories emerged, describing differences in NHB and NHW parent decisions regarding diabetes technology: (1) child’s choice, (2) shame versus pride, (3) pros and cons of technology, (4) time frame, and (5) blood glucose indications of readiness. NHB parents feared technology malfunction, worried that visible devices could worsen experienced stigma of diabetes diagnosis, and described the diabetes team as gatekeepers, who changed eligibility criteria for diabetes technology use for their research purposes. In contrast, NHW parents reported diabetes team expectation of diabetes technology use and did not report provider-related barriers. Conclusion This study adds to existing literature advancing our understanding of the patient and provider mechanisms underlying racial disparities in diabetes technology use. This understanding may guide development of interventions focused on patients, providers, and structural factors to improve equity in use of diabetes technology by youth with type 1 diabetes.
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This mixed-methods study endeavored to expand the current understanding of how early pandemic related disruptions impacted the home food environment and parent feeding practices of families with young children. Data for this study are taken from the Kids EAT! Study, a racially/ethnically diverse cohort of families with 2–5 year old children. Individual interviews were conducted by phone and video conference with mothers (n = 25) during August/September of 2020 and were coded using a hybrid deductive/inductive analysis approach. Parents also reported on their family's food insecurity status enabling qualitative findings to be stratified by family-level food security status. Two overarching themes were identified related to how families in this sample describe the COVID-19 pandemic's impact on their home food environment. Themes included 1) Impacts on obtaining food for one's family, and 2) Specific changes in parent feeding practices. Findings indicated variation within each theme by family food security status. Overall, families experiencing food insecurity more frequently discussed using various coping strategies, including stocking up, rationing food, and use of supplemental food resources, to overcome challenges associated with obtaining food brought on by COVID-19. Families with food insecurity also reported having more time for home cooked meals and more frequently discussed enforcing less structure (timing of meal, place) related to meals/snacks consumed at home during the pandemic. The impacts of the COVID-19 persist, ranging from ongoing economic challenges, inconsistent access to childcare for families, and the emergence of new, more contagious, variants. With this, interventions to address food insecurity amongst families with young children should consider how to optimize the home food environment and promote healthful parent feeding practices within the families they serve in the face of an evolving public health crisis.
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This study examines the relationship between broadband adoption and county-level educational achievement in the US. We employ a novel measure of home broadband subscriptions to explore longitudinal community impacts of broadband adoption on aggregated standardized test scores in math and reading/language arts for students enrolled in 3rd-8th grades. We create a panel of US counties and measure the effect of broadband adoption on student educational achievement by estimating a fixed effect estimator. For the typical student in a county, the main results indicate that higher broadband adoption increases standardized test scores in both math and reading/language arts. The results are robust to alternate model specifications and an instrumental variable approach. Not all students benefit equally from higher rates of broadband adoption, however. We find that Black and Latino (and lower-income students) enjoy higher educational achievement gains compared to their white (and higher-income) student counterparts. The findings highlight the potential role community broadband adoption can have in promoting student educational achievement and reducing disparities within the education system.
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This article explores the ways East Asian American (EAA) children and adolescents have experienced disparities in the United States throughout the COVID-19 pandemic. The history of racism toward Asian American and Pacific Islanders (AAPI) and the complexities of acculturation are reflected through this contemporary lens. Traditional East Asian (EA) values were disrupted during this period. Implications for children and families are discussed. Persistent underlying xenophobia and racism, such as the model minority myth or perpetual foreigner stereotype, rose to new prominence, furthering emotional distress in EA and EAA youths beyond those already experienced universally by AAPI families during the pandemic.
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Objective This study examined caregiver perceived impact of the Coronavirus Disease 2019 (COVID-19) pandemic on a diverse sample of U.S. youth with diabetes and their families. Methods Caregivers of youth with diabetes completed an electronic survey in English or Spanish at two sites. Participants provided demographic and disease characteristics and completed the COVID-19 Exposure and Family Impact Scales (CEFIS). Glycemic health was assessed via Hemoglobin A1c (HbA1c) from medical chart review. Analysis of variance and analyses of covariance were utilized to examine racial/ethnic differences in glycemic health and in COVID-19 Exposure, Impact, and Distress scales. Hierarchical linear regression was conducted to predict HbA1c. Thematic analysis was conducted on open-ended responses regarding the effects of COVID-19 on youth and families’ overall and diabetes-related well-being. Results Caregivers (n = 114) of youth with diabetes (M = 12.6 ± 3.5 years) completed study measures. Mean HbA1c for Non-Hispanic White youth was lowest and significantly different from Hispanic and Non-Hispanic Black youth. Exposure to COVID-19 stressors differed by race/ethnicity (p < .05) with Hispanic caregivers reporting greatest exposure. CEFIS scales did not predict HbA1c after controlling for demographic/disease variables. Caregivers described child/family changes during COVID (e.g., more time together, health-related hypervigilance), as well as differences in diabetes management during COVID-19. Conclusions Findings indicate differences in COVID-19 exposure but did not demonstrate other racial/ethnic disparities in COVID-19 impact or distress. Household income was the most important predictor of glycemic health. Addressing structural inequalities experienced by youth with diabetes and their families is critical. Recommendations to support families with diabetes are made.
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While most children with COVID-19 experience mild illness, some are vulnerable to severe disease and develop long-term complications. Children with disabilities, those from lower-income homes, and those from racial and ethnic minority groups are more likely to be hospitalized and to have poor outcomes following an infection. For many of these same children, a wide range of social, economic, and environmental disadvantages have made it more difficult for them to access COVID-19 vaccines. Ensuring vaccine equity in children and decreasing health disparities promotes the common good and serves society as a whole. In this article, we discuss how the pandemic has exposed long-standing injustices in historically marginalized groups and provide a summary of the research describing the disparities associated with COVID-19 infection, severity, and vaccine uptake. Last, we outline several strategies for addressing some of the issues that can give rise to vaccine inequity in the pediatric population.
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Coronavirus disease 2019 (COVID-19) is an important cause of morbidity in children in the United States (U.S.). Moreover, the U.S. has witnessed significant disparities affecting American Indian/Alaska Native, Black, and Hispanic/Latino children, stemming from systemic racism and social-structural inequalities and not differences in innate biological susceptibility. We review what is known on COVID-19 and health disparities in disease burden, access to care, pharmaceutical interventions, and clinical research in children, with a focus on the U.S. context. In addition, we propose strategies to communicate scientific data in ways that do not promote racism and biological susceptibility themes, and to address pediatric disparities in clinical infectious diseases research.
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Repeated measures are required to monitor and map trajectories of mental health symptoms that are sensitive to the changing distal and proximal stressors throughout the coronavirus (COVID-19) pandemic. Understanding symptoms in young children is particularly important given the short- and long-term implications of early-onset internalizing symptoms. This study utilized an intensive longitudinal approach to assess the course and environmental correlates of anxiety and depression symptoms in 133 children, ages 4–11 (Mage = 7.35, SD = 1.03), in the United States during the COVID-19 pandemic. Caregivers completed 48 repeated assessments from April 7, 2020, to June 15, 2021, on child and caregiver mental health symptoms, family functioning, and COVID-19-related environmental changes. Results from a series of multilevel growth models demonstrate that child depression symptoms were highest following initial stay-at-home orders (April 2020) and linearly decreased over time, while child anxiety symptoms were variable over the 15-month period. Caregiver depression symptoms and family conflict significantly predicted levels of child depression symptoms. In contrast, caregiver depression symptoms, caregiver anxiety symptoms, and time spent home quarantining significantly predicted levels of child anxiety symptoms. Results suggest that depression and anxiety symptoms in young children may have unique trajectories over the course of the coronavirus pandemic and highlight symptom-specific risk factors for each symptom.
Article
BACKGROUND Little is known about the epidemiology and outcomes of neurologic complications associated with COVID-19 in children. METHODS We performed a cross-sectional study of children 2 months to <18 years with COVID-19 discharged from 52 children's hospitals from March 2020-March 2022. Neurologic complications were defined as encephalopathy, encephalitis, aseptic meningitis, febrile seizure, non-febrile seizure, brain abscess and bacterial meningitis, Reye’s syndrome, and cerebral infarction. We assessed length of stay (LOS), intensive care unit (ICU) admission, 30-day readmissions, deaths, and hospital costs. We used multivariable logistic regression to identify factors associated with neurologic complications. RESULTS Of 15,137 children hospitalized with COVID-19, 1060 (7.0%) had a concurrent diagnosis of a neurologic complication. The most frequent neurologic complications were febrile seizures (3.9%), non-febrile seizures (2.3%) and encephalopathy (2.2%). Hospital LOS, ICU admission, ICU LOS, 30-day readmissions, deaths, and hospital costs were higher in children with neurologic complications compared to those without complications. Factors associated with lower odds of neurologic complications included: younger age (aOR 0.97, 95% CI 0.96, 0.98), occurrence during Delta variant predominant time period (aOR 0.71, 95% CI 0.57, 0.87), presence of a non-neurologic complex chronic condition (CCC) (aOR 0.80, 95% CI 0.69, 0.94). Presence of a neurologic CCC was associated with a higher odds of neurologic complication (aOR 4.14, 95% CI 3.48, 4.92). CONCLUSIONS Neurologic complications are common in children hospitalized with COVID-19 and are associated with worse hospital outcomes. Our findings emphasize the importance of COVID-19 immunization in children, especially in high-risk populations, such as those with neurologic co-morbidity.
Article
Objective: Studies suggest a large number of patients have persistent symptoms following COVID-19 infection-a condition termed "long COVID." Although children and parents often report cognitive difficulties after COVID, very few if any studies have been published including neuropsychological testing. Methods: A retrospective chart review was completed for the first 18 patients referred for a neuropsychological evaluation from a multidisciplinary pediatric post-COVID clinic. The neuropsychological screening battery assessed verbal fluency and category switching, attention, working memory, processing speed, and verbal learning and memory. Patients' caregivers also completed standardized questionnaires regarding day-to-day mood and behavior. Results: At intake, the most common neurologic symptoms reported by caregivers were attention problems (83.3%), fatigue/lethargy (77.7%), sleep disturbance (77.7%), dizziness/vertigo (72.2%), and headaches (72.2%). On rating scales, most caregivers endorsed concerns for depressed mood and anxiety (14/15 and 12/15). A large proportion of patients had difficulties with attention (9/18) and depressed mood/anxiety (13/18) before COVID. On cognitive testing, the majority of the patients performed within or above broad average range (≥16th percentile) across most domains. However, a little over half of the patients performed below average on auditory attention measures. Conclusions: Within our clinically referred sample, children who reported lingering cognitive symptoms after COVID-19 often had a preexisting history of attention and/or mood and anxiety concerns. Many of these patients performed below average in attention testing, but it remains to be seen whether this was due to direct effects of COVID, physical symptoms, and/or preexisting difficulties with attention or mood/anxiety.
Article
This study aimed to examine changes in depression and anxiety symptoms from before to during the first 6 months of the COVID‐19 pandemic in a sample of 1,339 adolescents (9–18 years old, 59% female) from three countries. We also examined if age, race/ethnicity, disease burden, or strictness of government restrictions moderated change in symptoms. Data from 12 longitudinal studies (10 U.S., 1 Netherlands, 1 Peru) were combined. Linear mixed effect models showed that depression, but not anxiety, symptoms increased significantly (median increase = 28%). The most negative mental health impacts were reported by multiracial adolescents and those under ‘lockdown’ restrictions. Policy makers need to consider these impacts by investing in ways to support adolescents’ mental health during the pandemic.
Article
Purpose: The COVID-19 morbidity with SARS-CoV-2 as a causative pathogenic microbe remains a pandemic with children experiencing less mortality but with severe manifestations. The current study aimed to assess SARS-CoV-2 cumulative incidence, COVID-19 hospitalization, and ICU admission with respect to racial differentials. Materials and methods: A cross-sectional nonexperimental epidemiologic design was used to examine pediatric COVID-19 data from CDC during 2020. The variables assessed were ICU admissions, hospitalization, sex, race, and region. The Chi-Square (X2) statistic was used to examine the independence of the variables by race, while the binomial regression model was used to predict racial risk differentials in hospitalization and ICU admissions. Results: The pediatric COVID-19 data observed the cumulative incidence of hospitalization to be 96,376, while ICU admission was 12,448. Racial differences were observed in hospitalization, ICU admissions, sex, and region. With respect to COVID-19 hospitalization, Black/African American (AA) children were two times as likely to be hospitalized compared to their White counterparts, prevalence risk ratio (pRR) = 2.20, 99% confidence interval (CI = 2.12-2.28). Similarly, Asians were 45% more likely to be hospitalized relative to their White counterparts, pRR = 1.45, 99% CI = 1.32-1.60. Regarding ICU admission, there was a disproportionate racial burden, implying excess ICU admission among Black/AA children relative to their White counterparts, pRR = 5.18, 99% CI = 4.44-6.04. Likewise, Asian children were 3 times as likely to be admitted to the ICU compared to their White counterparts, pRR = 3.36, 99% CI = 2.37-4.77. Additionally, American Indians/Alaska Natives were 2 times as likely to be admitted to ICU, pRR = 2.54, 99% CI = 0.82-7.85. Conclusion: Racial disparities were observed in COVID-19 hospitalization and ICU admission among the US children, with Black/AA children being disproportionately affected, implying health equity transformation.
Article
Current diagnostic criteria for learning disorders are insufficient because of ongoing COVID-19-related educational disruption. Diagnostic criteria for learning disorders should be modified to reduce the risk of misdiagnosis and ensure timely intervention.
Article
Objectives. To quantify the relationship between the segregation of Black, Indigenous, and Latinx communities and COVID-19 testing sites in populous US cities. Methods. We mapped testing sites as of June 2020 in New York City; Chicago, Illinois; Los Angeles, California; and Houston, Texas; we applied Bayesian methods to estimate the association between testing site location and the proportion of the population that is Black, Latinx, or Indigenous per block group, the smallest unit for which the US Census collects sociodemographic data. Results. In New York City, Chicago, and Houston, the expected number of testing sites decreased by 1.29%, 3.05%, and 1.06%, respectively, for each percentage point increase in the Black population. In Chicago, Houston, and Los Angeles, testing sites decreased by 5.64%, 1.95%, and 1.69%, respectively, for each percentage point increase in the Latinx population. Conclusions. In the largest highly segregated US cities, neighborhoods with more Black and Latinx residents had fewer COVID-19 testing sites, likely limiting these communities’ participation in the early response to COVID-19. Public Health Implications. In light of conversations on the ethics of racial vaccine prioritization, authorities should consider structural barriers to COVID-19 control efforts. (Am J Public Health. 2022;112(3):518–526. https://doi.org/10.2105/AJPH.2021.306558 )
Article
Mental health encompasses a range of mental, emotional, social, and behavioral functioning and occurs along a continuum from good to poor. Previous research has documented that mental health among children and adolescents is associated with immediate and long-term physical health and chronic disease, health risk behaviors, social relationships, education, and employment. Public health surveillance of children's mental health can be used to monitor trends in prevalence across populations, increase knowledge about demographic and geographic differences, and support decision-making about prevention and intervention. Numerous federal data systems collect data on various indicators of children's mental health, particularly mental disorders. The 2013-2019 data from these data systems show that mental disorders begin in early childhood and affect children with a range of sociodemographic characteristics. During this period, the most prevalent disorders diagnosed among U.S. children and adolescents aged 3-17 years were attention-deficit/hyperactivity disorder and anxiety, each affecting approximately one in 11 (9.4%-9.8%) children. Among children and adolescents aged 12-17 years, one fifth (20.9%) had ever experienced a major depressive episode. Among high school students in 2019, 36.7% reported persistently feeling sad or hopeless in the past year, and 18.8% had seriously considered attempting suicide. Approximately seven in 100,000 persons aged 10-19 years died by suicide in 2018 and 2019. Among children and adolescents aged 3-17 years, 9.6%-10.1% had received mental health services, and 7.8% of all children and adolescents aged 3-17 years had taken medication for mental health problems during the past year, based on parent report. Approximately one in four children and adolescents aged 12-17 years reported having received mental health services during the past year. In federal data systems, data on positive indicators of mental health (e.g., resilience) are limited. Although no comprehensive surveillance system for children's mental health exists and no single indicator can be used to define the mental health of children or to identify the overall number of children with mental disorders, these data confirm that mental disorders among children continue to be a substantial public health concern. These findings can be used by public health professionals, health care providers, state health officials, policymakers, and educators to understand the prevalence of specific mental disorders and other indicators of mental health and the challenges related to mental health surveillance.
Article
With its global spread and protracted threat, mounting morbidity and mortality, pervasive social and economic ramifications, vital public health measures, and often compromised risk communication, the COVID-19 pandemic has increased the risk to children's emotional health relative to more common biological, natural, and man-made events. Posttraumatic stress disorder (PTSD) and PTSD symptoms have been the primary focus of child disaster mental health research. The adult literature has questioned the appropriateness of focusing on PTSD in the context of the COVID-19 pandemic, because most of the extensive adult research on PTSD has not appropriately assessed all diagnostic criteria for the disorder.1 The pandemic experiences of participants in most studies examined in a recent review did not meet the PTSD exposure criterion,1 which requires that exposure be "directly" experienced, witnessed in person, secondary to the involvement of a close family member or friend, or "repeated or extreme" contact with "aversive details" of the event.2 (page 271) Instead, participants' experiences were primarily indirect (eg, media contact) and constituted fear related to contracting the disease.1 This concern extends to the relatively few empirical COVID-19 studies of PTSD in children and exemplifies a problem in many child disaster mental health studies, especially those assessing general population samples that primarily comprise children who do not meet the PTSD exposure criterion.
Article
In 2021, a national emergency* for children's mental health was declared by several pediatric health organizations, and the U.S. Surgeon General released an advisory† on mental health among youths. These actions resulted from ongoing concerns about children's mental health in the United States, which was exacerbated by the COVID-19 pandemic (1,2). During March-October 2020, among all emergency department (ED) visits, the proportion of mental health-related visits increased by 24% among U.S. children aged 5-11 years and 31% among adolescents aged 12-17 years, compared with 2019 (2). CDC examined changes in U.S. pediatric ED visits for overall mental health conditions (MHCs) and ED visits associated with specific MHCs (depression; anxiety; disruptive behavioral and impulse-control disorders; attention-deficit/hyperactivity disorder; trauma and stressor-related disorders; bipolar disorders; eating disorders; tic disorders; and obsessive-compulsive disorders [OCD]) during 2019 through January 2022 among children and adolescents aged 0-17 years, overall and by sex and age. After declines in weekly visits associated with MHCs among those aged 0-17 years during 2020, weekly numbers of ED visits for MHCs overall and for specific MHCs varied by age and sex during 2021 and January 2022, when compared with corresponding weeks in 2019. Among adolescent females aged 12-17 years, weekly visits increased for two of nine MHCs during 2020 (eating disorders and tic disorders), for four of nine MHCs during 2021 (depression, eating disorders, tic disorders, and OCD), and for five of nine MHCs during January 2022 (anxiety, trauma and stressor-related disorders, eating disorders, tic disorders, and OCD), and overall MHC visits during January 2022, compared with 2019. Early identification and expanded evidence-based prevention and intervention strategies are critical to improving children's and adolescents' mental health (1-3), especially among adolescent females, who might have increased need.
Article
Background: COVID-19 disproportionately affects racial and ethnic minority populations, but comparatively few epidemiologic studies have been performed on children as compared to adults. Objectives: To characterise factors associated with SARS-CoV-2 infections amongst children from Chicago, Illinois, USA. Methods: A test-negative case-control study of children tested for SARS-CoV-2 (0-18 years) at three medical centres of the Rush University System for Health between 12 March and 7 December 2020 was conducted. Of 8462 children, 1,302 tested positive by real-time PCR or rapid (NAAT) testing. Infection with SARS-CoV-2 was analysed as the outcome variable; effects of predictors were assessed by logistic regression analysis. A Paediatric Risk Score Index with a concordance index of 72% of accuracy was created to predict SARS-CoV-2 infection. Results: The median age of cases was 13 years. On multivariable analysis, factors associated with SARS-CoV-2 infection were being Hispanic/Latinx (odds ratio [OR] 2.45, 95% CI 1.99, 3.03); Black/African-American (OR 1.31, 95% CI 1.03, 1.66); overweight/obese (OR 1.27, 95% CI 1.02, 1.58); older age, 10-14 years (OR 1.70, 95% CI 1.39, 2.08), 15-18 years (OR 2.06, 95% CI 1.71, 2.47); from households with income <$50,000 (OR 1.36, 95% CI 1.17, 1.60); or residing in predominantly minority neighbourhoods (OR 1.45, 95% CI 1.17, 1.80). Infections were higher during the second "fall" wave (5 October 2020 onward) compared with the first "spring" wave (OR 2.30, 95% CI 2.01, 2.63). Within Chicago, racial/ethnic minority neighbourhoods had striking positivity rates, as high as 39% in majority Hispanic/Latinx West Lawn neighbourhood. In suburban Chicago, highest positivity rates (20%-28%) were in zip codes within Hispanic/Latinx communities. Conclusions: Infection with SARS-CoV-2 is more likely amongst children of Hispanic/Latinx ethnicity, Black/African-American race, aged 10-18 years, who are overweight/obese, from lower income households, and from minority neighbourhoods. Future studies should focus on the prevention of COVID-19 infection in children of highest risk.
Article
Background: Acute neurological complications from COVID-19 have been reported in both pediatric and adult populations. Chronic symptoms after recovery have been reported in adults and can include neuropsychiatric and sleep symptoms. Persistent symptoms in children with the multisystem inflammatory syndrome in children (MIS-C) have not been studied. Methods: We conducted a single-center retrospective chart review and cross-sectional survey of patients diagnosed with MIS-C. Patients and parents were surveyed on symptoms before the COVID-19 pandemic, upon admission, and 23 weeks (interquartile range 20-26 weeks) after discharge. Age and gender-matched patients requiring intensive care unit (ICU) care for status asthmaticus were surveyed as a control group. Results: In this cohort of 47 patients, 77% reported neurological, 60% psychiatric, and 77% sleep symptoms during hospitalization. Prior to hospitalization, 15% reported neurological, 0% psychiatric, and 7% sleep symptoms. Eighteen (50%) of the 36 patients who had neurological symptoms during hospitalization continued to have symptoms on follow-up (odds ratio [OR] = ∞, p = .003]). Similarly, 16 (57%) of 28 patients with psychiatric symptoms reported persistence at follow-up (OR = 5.00; p = .02). Fifteen (42%) of the 18 patients reporting sleep disturbance during hospitalization had persistence on follow-up (OR = 1.9; p = .49). The aggregate of neurological, psychiatric, and sleep symptoms during admission and at follow-up was significantly higher for MIS-C patients requiring ICU care when compared to the control group ( p = .01). Conclusions: In this cohort of patients with MIS-C, a majority of patients reported new-onset neuropsychiatric and sleep symptoms. Almost half of these patients had persistent symptoms on a follow-up survey.
Article
Objectives: The aim of the study was to determine the prevalence of metabolic syndrome (MetS), type 2 diabetes mellitus (T2DM), and other comorbidities in overweight and obese children in Malatya, Turkey. Methods: Retrospective cross-sectional study. We studied 860 obese and overweight children and adolescents (obese children Body mass index (BMI) >95th percentile, overweight children BMI >85th percentile) aged between 6 and 18 years. The diagnosis of MetS, impaired glucose tolerance (IGT), impaired fasting glucose (IFG), and T2DM were defined according to modified the World Health Organization criteria adapted for children. Other comorbidities were studied. Results: Subjects (n=860) consisted of 113 overweight and 747 obese children of whom 434 (50.5%) were girls. MetS was significantly more prevalent in obese than overweight children (43.8 vs. 2.7%, p<0.001), and in pubertal than prepubertal children (41.1 vs. 31.7%, p<0.001). Mean homeostasis model assessment for insulin ratio (HOMA-IR) was 3.6 ± 2.0 in the prepubertal and 4.9 ± 2.4 in pubertal children (p<0.001). All cases underwent oral glucose tolerance test and IGT, IFG, and T2DM were diagnosed in 124 (14.4%), 19 (2.2%), and 32 (3.7%) cases, respectively. Insulin resistance (IR) was present in 606 cases (70.5%). Conclusions: Puberty and obesity are important risk factors for MetS, T2DM, and IR. The prevalence of MetS, T2DM, and other morbidities was high in the study cohort. Obese children and adolescents should be carefully screened for T2DM, insulin resistance, hyperinsulinism, dyslipidemia, hypertension, IGT, and IFG. The prevention, early recognition, and treatment of obesity are essential to avoid associated morbidities.
Article
Affordable housing is necessary for the health and well-being of children and families. The coronavirus disease 2019 (COVID-19) pandemic affected the ability of low-income families to pay for housing. The aim of this study is to evaluate associations between household characteristics of participants of the Special Supplemental Nutrition Program for Women, Infants and Children (WIC), and housing-cost burden during the pandemic. WIC is a federally-funded nutrition assistance program for low-income mothers, infants, and children up to the age of 5. Data were from a 2020 survey of a random sample of WIC households (n = 5815) in Los Angeles County. Ordinal logistic regression determined the odds of being housing-cost burdened by parent respondent's race/ethnicity, household composition, employment, residence, and housing cost. Logistic regression determined if the pandemic contributed to the housing-cost burden. A total of 61% of households reported housing-cost burden, with two-thirds attributing the burden to the pandemic. Spanish-speaking Hispanic parents and white parents reported a higher prevalence of pandemic-related burden, while Asian, Black, and English-speaking Hispanic parents reported a higher prevalence of burden unrelated to the pandemic. Single-parent households, those experiencing residential instability, and those with high housing costs had higher odds of burden. Spanish-speaking Hispanic parents, white parents, homeowners, and those with high housing costs were more likely to attribute the burden to the pandemic. To ensure that existing inequities are not exacerbated, it is vital that housing assistance be available to low-income households that were disproportionately affected by the pandemic.