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Objective The aim of the present study was to describe self-regulation (the ability to influence or control one's thoughts or behavior in response to situational demands and social norms) in children ages 3-5 years using a nationally representative sample and examine risk and protective factors to identify opportunities to support children and families. Methods Using a cross-sectional design, we examined data from a parent-reported pilot measure of self-regulation from the 2016 National Survey of Children's Health (NSCH). We compared U.S. children aged 3-5 years who were described by parents as 'on track' with self-regulation development with children who were not. In addition, we described how health care and developmental services, community, family, and child health and development factors are associated with children's self-regulation. Results The majority of children (4 of 5) were described by their parents to be developmentally on track with self-regulation. Compared to children described as not on track, children described as on track more often lived in financially and socially advantaged environments and less often experienced family adversity. They also had other positive health and development indicators, whether or not they were receiving developmental services. However, only half of children not on track received developmental surveillance, and only 1 in 4 children described as not on track received educational, mental health, or developmental services. Conclusion The findings are a step towards using self-regulation as an indicator of healthy child development and as a potential strategy to identify groups of children who may need additional support., Author(s): Angelika H. Claussen [sup.1] , Lara R. Robinson [sup.1] , Jennifer W. Kaminski [sup.1] , Sana Charania [sup.1] [sup.2] , Joseph R. Holbrook [sup.1] , Marvin So [sup.1] [sup.2] [...]

The present study describes 4 strategies for increasing response rates to a community-based survey on youth violence in an ethnically diverse population in Hawai'i. A total of 350 households were mailed a Safe Community Survey using 4 different randomly assigned incentive strategies. The strategies varied by length of survey and timing of incentive for completion (given before completion, after completion, or both). In univariate analyses, there were no significant differences across survey strategies on participant demographics, community perceptions of violence-related behaviors, or percent of missing items. However, in multivariate regressions, respondents' sex and percent of missing items on the surveys were consistently significant predictors across multiple outcomes. Although the use of strategies to increase response rates in community-based surveys might be desirable, resulting data need to be examined for the potential that strategies might recruit different populations, which may have an impact on the data obtained. This study offers lessons and recommendations for surveying Native and Indigenous communities. [ABSTRACT FROM AUTHOR]

Previous research has linked greater social connectedness with a lowered risk of self-directed violence among adolescents. However, few studies have analyzed the comparative strength of different domains of connectedness (e.g., family, peers and school) to determine where limited resources might best be focused. Data to address that gap were taken from the Centers for Disease Control and Prevention's Student Health and Safety Survey, administered to 4,131 7th-12th graders (51.5% female; 43.8% Hispanic; 22.6% African American or Black). Logistic regressions (controlling for age, gender, race/ethnicity, family structure, academic performance, and depressive symptoms) suggest that family connectedness was a stronger predictor than connectedness to peers, school, or adults at school for non-suicidal self-harm, suicidal ideation, suicide plans, and non-fatal suicidal behavior. In some analyses, peer connectedness was unexpectedly a risk factor. Results have implications for prevention of suicide in adolescence, especially in the context of the current trend towards school-based prevention programs.

Scholars have noted the need to examine the psychometric properties of measures that can be used in evaluating moral education programs. The present study was designed to examine the best-fitting factor model of a commonly-used measure of prosocial moral reasoning (PROM) across samples from Brazil and the USA, gender and adolescent age groups. The samples consisted of 619 college students (M age = 20.59 years, SD = 4.08; 41% men, 59% women) and 239 middle and high school students (M age = 14.02 years, SD = 3.04; 45% boys, 55% girls) from the USA. There were 114 college students (M age = 21.81, SD = 4.33; 35% men, 65% women) and 136 middle and high school students (M age = 14.93 years, SD = 1.55; 42% boys, 58% girls) from Brazil. A series of (multigroup) confirmatory factor analyses were conducted to test the best fitting factor structure of the PROM and the invariance of this factor structure across culture, gender and age groups. Evidence for measurement invariance was found such that a four-factor model was a slightly better fitting model than the five-factor model across all groups. Discussion focuses on theoretical and methodological implications of the findings. (Contains 2 tables.)

Mosaicism in fragile X syndrome (FXS) refers to two different FMR1 allele variations: size mosaicism represents different numbers of CGG repeats between the two alleles, such that in addition to a full mutation allele there is an allele in the normal or premutation range of CGG repeats, while methylation mosaicism indicates whether a full‐mutation allele is fully or partially methylated. The present study explored the association between mosaicism type and cognitive and behavioral functioning in a large sample of males 3 years and older (n = 487) with FXS, participating in the Fragile X Online Registry with Accessible Research Database. Participants with methylation mosaicism were less severely cognitively affected as indicated by a less severe intellectual disability rating, higher intelligence quotient and adaptive behavior score, and lower social impairment score. In contrast, the presence of size mosaicism was not significantly associated with better cognitive and behavioral outcomes than full mutation. Our findings suggest that methylation mosaicism is associated with better cognitive functioning and adaptive behavior and less social impairment. Further research could assess to what extent these cognitive and behavioral differences depend on molecular diagnostic methods and the impact of mosaicism on prognosis of individuals with FXS. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Infant and early childhood mental health (IECMH) has been defined as the capacity of infants and young children to regulate their emotions, form secure relationships, and explore their environments. For this special issue, we conducted a review of IECMH outcomes from evaluations of couple‐ and family‐based psychosocial interventions not explicitly designed for trauma exposure published from 2010 through 2019, following Evidence Base Update criteria and the current convention of classifying general categories of intervention approaches rather than the former practice of evaluating specific brand‐name packaged programs. Full‐text review of 695 articles resulted in 39 articles eligible for categorization into intervention approaches, taking into consideration the theoretical orientation of the treatment, the population served, the intervention participants, the target outcomes, the treatment theory of change, and the degree to which the intervention was standardized across participants. Four intervention approaches were identified in this review as Probably Efficacious: Behavioral Interventions to Support Parents of Toddlers, Interventions to Support Adolescent Mothers, Tiered Interventions to Provide Support Based on Assessed Risk, and Home Visiting Interventions to Provide Individualized Support to Parents. Other intervention approaches were classified as Possibly Efficacious, Experimental, or did not have sufficient evidence in this time period to classify under these criteria. Further research could explore how to ensure that all families who need support can receive it, such as by increasing the reach of effective programs and by decreasing the number of families needing additional support. [ABSTRACT FROM AUTHOR]

Housing is considered a core social determinant of health (SDH) through mechanisms such as the quality, affordability, and location of the home. However, few nationally representative studies examine these mechanisms simultaneously with child health and healthcare use. To determine the associations between home quality and child health, a series of logistic regression analyses was employed using the Survey of Income and Program Participation (SIPP). The 2014 SIPP sample is a multistage, stratified sample of 53,070 housing units from 820 sample areas designed to represent the civilian, noninstitutionalized population of the United States. The analytic sample included 12,964 children aged 2–14 years. Poor housing quality was defined as whether the home had holes in the floor, cracks in the ceiling, plumbing issues, and/or pest problems. Outcome measures included child health status, number of medical visits, and hospitalizations. The results indicated that poor housing quality was associated with poorer health (OR = 1.16, 95% CI = 1.05–1.27) and a greater number of medical visits (OR = 1.11, 95% CI = 1.03, 1.20) after controlling for number of persons per household, neighborhood safety, nonmetropolitan status, parent's ability to afford housing-related expenses, and other SDH. Future work investigating and intervening on the SDH in children could specifically include the quality and contexts in which homes are situated. [ABSTRACT FROM AUTHOR]

To assess the national and state prevalence of being "Healthy and Ready to Learn" (HRL) and associated sociodemographic, health, family and neighborhood factors. Cross-sectional analysis of the 2016 National Survey of Children's Health, a nationally representative parent-reported survey administered by web and paper June 2016 to February 2017. Four domains were constructed from 18 items through confirmatory factor analyses: "Early Learning Skills", "Social-Emotional Development", "Self-Regulation", and "Physical Well-being and Motor Development." Each item and domain were scored according to age-specific standards as "On-Track", "Needs Support", and "At Risk" with overall HRL defined as "On-Track" in all domains for 7565 randomly selected children ages 3 to 5 years. In 2016, 42.2% of children ages 3 to 5 years were considered HRL with the proportion considered "On-Track" ranging from 58.4% for Early Learning Skills to 85.5% for Physical Well-being and Motor Development"; approximately 80% of children were considered "On-Track" in Social-Emotional Development and Self-Regulation, respectively. Sociodemographic differences were mostly non-significant in multivariable analyses. Health, family, and neighborhood factors (ie, special health care needs status/type, parental mental health, reading, singing and storytelling, screen time, adverse childhood experiences, and neighborhood amenities) were associated with HRL. HRL prevalence ranged from 25.5% (NV) to 58.7% (NY), but only 4 states were significantly different from the U.S. overall. Based on this pilot measure, only about 4 in 10 US children ages 3 to 5 years may be considered "Healthy and Ready to Learn." Improvement opportunities exist for multiple, modifiable factors to affect young children's readiness to start school. [ABSTRACT FROM AUTHOR]

Background: Normalisation of medicinal and recreational marijuana use has increased the importance of fully understanding effects of marijuana use on individual-and population-level health, including prenatal exposure effects on child development. We undertook a systematic review of the literature to examine the long-term effects of prenatal marijuana exposure on neuropsychological function in children aged 1-11 years.Methods: Primary research publications were searched from Medline, Embase, PsychInfo, CINAHL EbscoHost, Cochrane Library, Global Health and ERIC (1980-2018). Eligible articles documented neuropsychological outcomes in children 1-11 years who had been prenatally exposed to marijuana. Studies of exposure to multiple prenatal drugs were included if results for marijuana exposure were reported separately from other substances. Data abstraction was independently performed by two reviewers using a standardised protocol.Results: The eligible articles (n = 21) on data from seven independent longitudinal studies had high quality based on the Newcastle-Ottawa Scale. Some analyses found associations (P < 0.05) between prenatal marijuana exposure and decreased performance on memory, impulse control, problem-solving, quantitative reasoning, verbal development and visual analysis tests; as well as increased performance on attention and global motion perception tests. Limitations included concurrent use of other substances among study participants, potential under-reporting and publication biases, non-generalisable samples and limited published results preventing direct comparison of analyses.Conclusions: The specific effects of prenatal marijuana exposure remain unclear and warrant further research. The larger number of neuropsychological domains that exhibit decreased versus increased psychological and behavioural functions suggests that exposure to marijuana may be harmful for brain development and function. [ABSTRACT FROM AUTHOR]

This article reviews the state of the science on psychosocial treatments for disruptive behaviors in children, as an update to Eyberg, Nelson, and Boggs (2008). We followed procedures for literature searching, study inclusion, and treatment classification as laid out in Southam-Gerow and Prinstein (2014), focusing on treatments for children 12 years of age and younger. Two treatments (group parent behavior therapy, and individual parent behavior therapy with child participation) had sufficient empirical support to be classified as well-established treatments. Thirteen other treatments were classified as probably efficacious. Substantial variability in effectiveness of different programs within the same treatment family has been previously documented; thus, a particular level of evidence might not hold true for every individual program in a treatment family. Systematic investigations of implementation, dissemination, and uptake are needed to ensure that children and families have access to effective treatments. Investigations into how to blend the strengths of the effective approaches into even more effective treatment might also lead to greater impact. [ABSTRACT FROM AUTHOR]

BACKGROUND: Although several systematic reviews have concluded that home visiting has strong evidence of effectiveness, individual evaluations have produced inconsistent results. We used a component- based, domain-specific approach to determine which characteristics most strongly predict outcomes. METHODS: Medline and PsyclNFO searches were used to identify evaluations of universal and selective home visiting programs implemented in the United States. Coders trained to the study criterion coded characteristics of research design, program content, and service delivery. We conducted random-effects, inverse-variance-weighted linear regressions by using program characteristics to predict effect sizes on 6 outcome domains (birth outcomes, parenting behavior and skills, maternal life course, child cognitive outcomes, child physical health, and child maltreatment). RESULTS: Aggregated to a single effect size per study (k = 51), the mean effect size was 0.20 (95% confidence interval: 0.14 to 0.27), with a range of -0.68 to 3.95. Mean effect sizes were significant and positive for 3 of the 6 outcome domains (maternal life course outcomes, child cognitive outcomes, and parent behaviors and skills), with heterogeneity of effect sizes in all 6 outcome domains. Research design characteristics generally did not predict effect sizes. No consistent pattern of effective components emerged across all outcome domains. CONCLUSIONS: Home visiting programs demonstrated small but significant overall effects, with wide variability in the size of domain- specific effects and in the components that significantly predicted domain-specific effects. Communities may need complementary or alternative strategies to home visiting programs to ensure widespread impact on these 6 important public health outcomes. [ABSTRACT FROM AUTHOR]

Two letters to the editor are presented in response to the article "Behavioral and Socioemotional Outcomes Through Age 5 Years of the Legacy for Children Public Health Approach to Improving Developmental Outcomes Among Children Born Into Poverty" by J. W. Kaminski et al., which appeared in a previous issue.

Objective: The authors examined licensing requirements for select children's behavioral health care providers., Methods: Statutes and regulations as of October 2021 were reviewed for licensed clinical social workers, licensed professional counselors, and licensed marriage and family therapists for all 50 U.S. states and the District of Columbia., Results: All jurisdictions had laws regarding postgraduate training and license portability. No jurisdiction included language about specialized postgraduate training related to serving children and families or cultural competence. Other policies that related to the structure, composition, and authority of licensing boards varied across states and licensure types., Conclusions: In their efforts to address barriers to licensure, expand the workforce, and ensure that children have access to high-quality and culturally responsive care, states could consider their statutes and regulations., Competing Interests: The authors report no financial relationships with commercial interests.

Competing Interests: Conflict-of-Interest Disclosures: Erin Fox discloses employment by the National Academies of Sciences, Engineering, and Medicine while this paper series was being drafted.

Competing Interests: Conflict-of-Interest Disclosures: Erin Fox discloses employment by the National Academies of Sciences, Engineering, and Medicine while this paper series was being drafted.

Competing Interests: Conflict-of-Interest Disclosures: Erin Fox discloses employment by the National Academies of Sciences, Engineering, and Medicine while this paper series was being drafted.

Prescription stimulant use, primarily for the treatment of attention-deficit/hyperactivity disorder (ADHD), has increased among adults in the United States during recent decades, while remaining stable or declining among children and adolescents (1,2). MarketScan commercial claims data were analyzed to describe trends in prescription stimulant fills before and during the COVID-19 pandemic (2016-2021) by calculating annual percentages of enrollees aged 5-64 years in employer-sponsored health plans who had one or more prescription stimulant fills overall and by sex and age group. Overall, the percentage of enrollees with one or more prescription stimulant fills increased from 3.6% in 2016 to 4.1% in 2021. The percentages of females aged 15-44 years and males aged 25-44 years with prescription stimulant fills increased by more than 10% during 2020-2021. Future evaluation could determine if policy and health system reimbursement changes enacted during the pandemic contributed to the increase in stimulant prescriptions. Stimulants can offer substantial benefits for persons with ADHD, but also pose potential harms, including adverse effects, medication interactions, diversion and misuse, and overdoses. Well-established clinical guidelines exist for ADHD care, but only for children and adolescents* (3); clinical practice guidelines for adult ADHD could help adults also receive accurate diagnoses and appropriate treatment., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.

Childhood mental, behavioral, and developmental disorders (MBDDs) are associated with adverse outcomes that can persist into adulthood (1,2). Pediatric clinical settings are important for identifying and treating MBDDs (3). Early identification and treatment of MBDDs can promote healthy development for all children (4), especially those living in poverty who are at increased risk for MBDDs (3,5) but might have reduced access to care (6). CDC analyzed data from the 2016 National Survey of Children's Health (NSCH) on MBDDs, risk factors, and use of federal assistance programs (e.g., Supplemental Nutrition Assistance Program [SNAP]) to identify points to reach children in poverty. In line with previous research (3,6), compared with children in higher-income households, those in lower-income households more often had ever received a diagnosis of an MBDD (22.1% versus 13.9%), and less often had seen a health care provider in the previous year (80.4% versus 93.8%). Among children living below 200% of the federal poverty level (FPL) who did not see a health care provider in the previous year, seven of 10 were in families receiving at least one public assistance benefit. Public assistance programs might offer collaboration opportunities to provide families living in poverty with information, co-located screening programs or services, or connection to care., Competing Interests: All authors have completed and submitted the ICMJE form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.

Sociodemographic, health care, family, and community attributes have been associated with increased risk for mental, behavioral, and developmental disorders (MBDDs) in children (1,2). For example, poverty has been shown to have adverse effects on cognitive, socio-emotional, and physical development (1). A safe place to play is needed for gross motor development, and accessible health care is needed for preventive and illness health care (3). Positive parenting and quality preschool interventions have been shown to be associated with prosocial skills, better educational outcomes, and fewer health risk behaviors over time (2). Protective factors for MBDDs are often shared (4) and conditions often co-occur; therefore, CDC considered MBDDs together to facilitate the identification of factors that could inform collaborative, multidisciplinary prevention strategies. To identify specific factors associated with MBDDs among U.S. children aged 2-8 years, parent-reported data from the most recent (2011-2012) National Survey of Children's Health (NSCH) were analyzed. Factors associated with having any MBDD included inadequate insurance, lacking a medical home, fair or poor parental mental health, difficulties getting by on the family's income, employment difficulties because of child care issues, living in a neighborhood lacking support, living in a neighborhood lacking amenities (e.g., sidewalks, park, recreation center, and library), and living in a neighborhood in poor condition. In a multivariate analysis, fair or poor parental mental health and lacking a medical home were significantly associated with having an MBDD. There was significant variation in the prevalence of these and the other factors by state, suggesting that programs and policies might use collaborative efforts to focus on specific factors. Addressing identified factors might prevent the onset of MBDDs and improve outcomes among children who have one or more of these disorders.