skip to main content

Promoting children's mental and behavioral health1 underlies healthy development and health equity across the lifespan. Advances across broad areas of behavioral, social and neuroscience inform practice, programs, and policy in child and adolescent mental and behavioral health.2

The Importance of Development  

Most common mental disorders, including those with the greatest morbidity, have an onset in childhood or adolescence (Kessler & Wang, 2008), with the peak incidence for common disorders occurring during adolescence (Paus, Keshavan, & Giedd, 2008). While some disorders (e.g., depression) typically develop during adolescence, others (e.g., attention deficit disorder) may have an earlier onset, but remain undiagnosed due to developmental context or limitations in screening and assessment. Childhood and adolescence provide critical periods for prevention, early detection, and intervention to promote child mental and behavioral health . Advances in brain imaging (Giedd J., Raznahan A., Alexander-Bloch A., Schmitt E., Gogtay N., & Rapoport J.L. ,2015), neuroscience (Casey, Getz, & Galvan, 2008; Luciana & Collins, 2012; Strang, Chein, & Steinberg, 2013) and behavioral science (Albert, Chein, & Steinberg, 2013; Smith, Chein, & Steinberg, 2013) have shown that there are critical environmental and genetic developmental influences on child and adolescent mental health, across biological, socioemotional, and behavioral domains 3. For example, early childhood is a period in which essential skills for self-regulation begin to develop (Berger, 2011; Diamond, 2013; Skinner & Zimmer-Gembeck, 2009), while adolescence is a period in which numerous risks become salient (National Research Council and Institute of Medicine , 2011), such as increased vulnerability to sensation-seeking, risk-taking behaviors, and susceptibility to peer influence. This can result in, among other things, enhanced vulnerability to substance use and addiction (Chambers, Taylor, & Potenza, 2003), including opioids (Wall et al., 2018). Moreover, research has identified multiple pathways and several risk factors leading to the development of mental and behavioral disorders in children and adolescents (Cross-Disorder Group of the Psychiatric Genomics Consortium, 2013; Frick, 2012; Latimer et al., 2012; Reiss, 2013). Disorder presentations are affected by biological determinants, environmental influences and genetics, including prenatal development and exposures and subsequent nutrition, in an interplay that is multi-determined and complex (Dunn et al., 2011; Tercyak, 2010). For example, research in epigenetics has shown that environmental and social factors (such as prenatal substance abuse, lead, pesticides, and other common, everyday exposures) alter gene expression, and experience interacts with genetic predisposition (Szyf, 2009). Clinicians and psychological scientists recognize that the etiological factors and behavioral expression of childhood disorders often overlap and interact, and co-morbidities are common. Some conditions, particularly developmental and intellectual disabilities, render children and adolescents vulnerable to under-diagnosis of co-morbid mental health and health problems (“diagnostic overshadowing”) (Matson & Williams, 2013).

Different pathways can progress to either mental and behavioral health symptoms or a diagnosable mental and behavioral disorder. These pathways involve multiple and interacting risk factors (described below)3 that influence periods of vulnerable development (Frick, 2012, 2016). Psychological and psychiatric research has found these factors to be interrelated in the development of a range of psychological problems, including disruptive behavior disorders (attention deficit hyperactive disorder, oppositional defiant disorder, and conduct disorder), depression and mood disorders, anxiety, posttraumatic stress disorders, obsessive compulsive disorders, eating and feeding disorders, schizophrenia, autism spectrum disorder, and intellectual disabilities (World Health Organization, 2018). Importantly, some mental health conditions with an onset during childhood are associated with heightened mortality (e.g., developmental disabilities, Hirvikoski, et al., 2016; mood disorders, Goldstein, 2009).  

Structural Determinants of Mental and Behavioral Health

Environmental risk factors that function as structural determinants of health include socioeconomic status, adverse and risky environmental conditions, and educational opportunities and outcomes. Low socioeconomic status (SES), indicated by lower household income, educational status, and poverty, is associated with greater risk of developing a mental and behavioral disorder than children and adolescents of middle or high SES (APA, 2018b; Reiss, 2013). Although SES is viewed as a family characteristic (human capital), low SES is often associated with structural and community level characteristics, such as systemic racism and oppression that drive policies that force families into under-resourced and unstable conditions. For example, children in lower SES families often receive inadequate physical and mental health care, leading to higher risk for mental and behavioral health problems and psychological disorders (e.g., Reiss, 2013; Russell, Ford, Williams, & Russell, 2016; Yoshikawa, Aber, & Beardslee, 2012).

Inadequate and inequitable educational opportunities and poor educational attainment are both risk factors for the development of psychological disorders and an outcome of serious mental and behavioral health problems in childhood and adolescence. For example, lower parental education is associated with development of mental and behavioral disorders in their children, likely related to low SES. Poor parental educational attainment often limits educational opportunities for the child and is related to the child's mental and behavioral health status. In contrast, positive academic performance is a strong indicator of subsequent positive life course outcomes (e.g., employment) as well as underrepresentation in psychiatric populations, drug use, school dropout and subsequent legal trouble (Farn & Adams, 2016).

Additionally, when children have a mental and behavioral health disorder, they often develop academic impairments or difficulties leading to educational underachievement due to frequent absences, higher rates of suspension or expulsion, or failure and drop out from high school (Breslau, Lane, Sampson, & Kessler, 2008; Russell, Ford, Williams, & Russell, 2016; Veldman, Bültmann, Almansa, & Reijneveld, 2015; Veldman, et al., 2015).

Risk factors in the environment, such as prenatal exposure to toxins including maternal cigarette smoking and alcohol use, chemical contaminants in the environment, and maternal stress, can influence development of mental and behavioral health disorders in infancy, childhood, and adolescence (Latimer et al., 2012; Frick, 2016). Later in development, psychosocial environment conditions (such as inadequate child care, ineffective family discipline, family disruption, deviant peer influences, childhood trauma from maltreatment, discrimination, family separation, or disasters, and neighborhoods with exposure to violence) influence the development of psychological disorders (Benner et al., 2018; Frick, 2012, 2016; Kearney, Wechsler, Kaur, & Lemos-Miller, 2010; Latimer et al., 2012).

Additionally, research shows that toxic stress (prolonged exposure to trauma and the biological stress response) impacts early brain development and later brain function, including executive functions such as control over emotions and impulses (APA, 2018b; Center on the Developing Child, 2014; Shonkoff & Gardner, 2012). A landmark study documented the profound impact of adverse childhood experiences on later adult health outcomes (Felitti et al., 1998), and subsequent research has clarified that this lifelong effect is due to significant changes in the nervous, endocrine and immune systems from prolonged exposure to the stress response (Danese & McEwan, 2012). In short, health across the lifespan is impacted by early childhood experiences (Conti & Heckman, 2013; Halfon & Hochstein, 2002; Halfon, Wise, & Forrest, 2014). However, research shows that the impact of environmental risk factors can be lessened or even prevented through building resilience (Masten, 2014), which, in turn, can be promoted through prevention and early intervention (Center on the Developing Child, 2015; Leslie et al., 2016). Moreover, reducing environmental risk factors has the potential to promote emotional health early in the life cycle (Center on the Developing Child, 2015).

Mental and Behavioral Health Disparities

Although all children and families may have difficulty accessing and utilizing adequate and effective mental and behavioral health services, low SES and minority children and adolescents have an even greater difficulty in receiving quality mental and behavioral health care. Minority stress and adverse experiences influence mental and behavioral health within oppressed populations, such as defined by gender, race and ethnicity, gender identity and sexual orientation, immigration status, physical, developmental, and intellectual disabilities, or chronic medical conditions.

Mental and behavioral health challenges in children and adolescents vary significantly by race and ethnicity, with higher rates of moderate and severe challenges among Hispanics and African Americans than among non-Hispanic Whites (Alegría, Green, McLaughlin, & Loder, 2015; Kataoka, Zhang, & Wells, 2002). Studies show that in comparison to their non- Hispanic White counterparts, racial/ethnic minority adolescents have similar or lower rates of mental and behavioral health challenges (Chatterji, Alegría, & Takeuchi, 2009; Kessler et al., 2005). However, while racial/ethnic minority adolescents do have similar rates, the course of mental and behavioral health challenges appears to be more persistent for them than for their non-minority counterparts (Chatterji, Alegría, & Takeuchi, 2009; Kessler et al., 2005). A recent report on mental health disparities identified four determinants of racial/ethnic minority mental health burden in children and adolescents (Alegría, Green, McLaughlin, & Loder, 2015). First, socioeconomic status, which can impact all children (as noted above) but disproportionately disadvantages racial/ethnic minority children, has been linked with material deprivation, perceived minority status, and higher levels of family stress, which contribute to mental health disparities (Dennis et al., 2003; Melchior et al., 2009). Second, family structure, such as single parent homes and step- families, contributes to mental health disparities through increased exposure to adverse childhood experiences (Wang, 2004), early transition to adult roles (Molina, Alegría, & Chen, 2012), and burdened parental capacities (Dennis et al., 2003; Shonkoff et al., 2012). Third, as noted above, adverse childhood experiences, particularly early and chronic exposure, have a negative impact on lifelong health (Shonkoff et al., 2012). Finally, neighborhood and social stress contribute to mental and behavioral health disparities via residential segregation, economic disadvantage, mobility, and violence and environmental toxicity (Sampson, Morenoff, & Gannon-Rowley, 2002).

In addition to the mental and behavioral health burden experienced by racial/ethnic minority children and adolescents, significant barriers exist in their access to and utilization of mental and behavioral health services (Austin & Wagner, 2010). For example, attitudes and beliefs about mental and behavioral health, due to concerns about stigma, can impact racial and ethnic minority families' decisions to seek treatment for their children (APA, 2017a; Turner, Jensen-Doss, & Heffer, 2015). Overall, racial/ethnic minority youth are less likely to receive services for internalizing challenges than non-Hispanic White youth (Gudiño, Lau, McCabe, & Hough, 2009). In addition, there are fewer mental and behavioral health services in low-income, racially segregated neighborhoods (Alegría, Vallas, & Pumariega, 2010 ). Even when services do exist, racial/ethnic minority children are less likely to receive quality care than their White, non-Hispanic counterparts (Alegría, Green, McLaughlin, & Loder, 2015), which is why the development of culturally appropriate, evidence-based mental and behavioral health promotion, prevention, and early intervention programs are so imperative.

Like race and ethnicity, gender also serves as a determinant of mental and behavioral health. Risk factors for experiencing mental and behavioral health difficulties may affect girls and boys differently. One such risk factor is exposure to violence. Girls have an increased risk of experiencing sexual abuse and assault at any age; whereas boys have an increased risk of experiencing physical violence and exposure to gang violence ( Brown & Bzostek, 2003; Kelly et al., 2012; Turner, Finkelhor & Ormrod, 2006) . During childhood, boys are more likely to be associated with and be treated for externalizing symptoms, whereas, girls are more likely to be associated with internalizing symptoms, which can go unrecognized and untreated, often due to gender bias in diagnosing (Green, Clopton & Pope, 1996; Merikangas et al., 2011; Seedat et al., 2009; World Health Organization, International, 2018). Prepubescent girls and boys have similar rates of depression, until adolescents, when girls are twice as likely to experience depression than are boys (Nolen-Hoeksema & Girgus, 1994 ). Moreover, girls are at greater risk of poor mental health due to gender-based violence, low income and income inequality, low social rank, and socioeconomic disadvantage ( Mendelson et al., 2008; World Health Organization, International, 2018). However, boys are less likely than girls to access care or to seek help due to stigma, which is even greater at the intersection of race and gender for Black adolescent males (Lindsey, Joe & Nebbitt, 2010).

Likewise, lesbian, gay, bisexual, transgender, and queer (LGBTQ) youth face similar mental and behavioral health disparities (Cohn & Leake, 2012; Eisenberg & Resnick, 2006; Mustanski, Garafalo & Emerson, 2011). According to the Minority Stress Model (Hendricks & Testa, 2012; Meyer, 2003), due to stressors associated with status, discrimination, prejudice, social stigma, internalized stigma, rejection, and/or victimization, LGBTQ individuals are at an increased risk for mental and behavioral health problems and poorer physical health as compared to their cisgender heterosexual counterparts (Fredriksen-Goldsen et al., 2014), such as higher reported rates of anxiety and depression, low self-esteem, engaging in self-injurious behaviors, suicide, substance use, homelessness, and eating disorders (APA & National Association of School Psychologists, 2015). According to the Safe and Supportive School's Project on Youth at Disproportionate Risk, LGBTQ adolescents are more likely to engage in sexual risk- taking behaviors (e.g., earlier age at first sexual contact, engaging in unprotected sex, more lifetime and recent sex partners, and drinking alcohol or using other drugs prior to last sexual contact) that may impact mental health (APA, 2018a). Furthermore, LGBTQ students are more likely to face harassment, bullying, and a higher prevalence of dating violence compared to their heterosexual and/or cisgender peers, which can lead to suicidal thoughts or attempts and lower academic achievement (APA, 2018a; Russell et. al., 2011). They are also less likely to access and utilize health care services, especially if the provider lacks the necessary tools and sensitivity to provide comprehensive care and are uncomfortable having discussions about sexuality and diversity in sexual orientation and gender identity with adolescents (Coker, Austin, & Schuster, 2010).

Similarly, children and adolescents with developmental and physical disabilities and chronic medical conditions can face mental and behavioral health challenges. Mental and behavioral health disparities can occur within these populations due to discrimination, attitudinal and physical barriers, abuse and neglect, and lack of accessible and disability-sensitive services (APA, 2011). Although more attention is being paid to disability issues within graduate education and training related to children's mental and behavioral health (e.g., pediatric psychology), more needs to be done to prevent mental and behavioral health disparities within these specific populations.

Finally, it is important to appreciate the magnified effects of intersectionality (i.e., intersecting identities and multiple minority status, such as being a person of color as well as female, a gender identity and sexual orientation minority, an immigrant or a person with a disability) on mental and behavioral health and disparities.

Evidence-Based Practices

The field of psychology has pursued a primary role in the promotion of mental and behavioral health and the development of evidence-based prevention and intervention programs for children (National Research Council and Institute of Medicine, 2009a). However, access to, and utilization of, high-quality mental and behavioral health care, programs, and services lags significantly behind the needs of children and families, particularly in low-income communities and among children of minority backgrounds (Alegría, Green, McLaughlin, & Loder, 2015; Alegría Vallas & Pumariega, 2010 ; Atkins, Graczyk, Frazier, Abdul-Adil, 2003; Austin & Wagner, 2010; Kataoka, Zang& Wells, 2002 ). The effects of lack of access and utilization can be seen in the annual cost of mental, emotional, and behavioral disorders in children, and is estimated at $247 billion. Childhood mental and behavioral health disorders account for the largest category of spending of health dollars for children (AHRQ, 2012 ), with additional costs in special education, child welfare and juvenile justice. This expense can be mitigated through the implementation of evidence-based prevention and intervention programs, particularly early in childhood – beginning with infant mental health promotion and parenting support. At least sixteen family-focused prevention programs have been widely tested and shown to be effective (Blueprints, 2018), and several have been shown to be cost-effective as well (Washington State Institute for Public Policy, 2015)4. Evidence-based prevention and intervention can also have significant investment returns in the long-term labor market, with increased individual earnings and reduced welfare dependence (Independent Evaluation Group, 2015).

Prevention and early intervention programs that are multiyear are fundamental in early childhood. Interventions that target school readiness, social-emotional skills, behavioral concerns, and attachment positively impact children’s IQ, academic achievement, language development, self-regulation, and attachment to caregivers in the short-term, while increasing safety behaviors and decreasing the likelihood of the development of specific mental and behavioral health problems and substance use into adulthood (Anderson, et al., 2003; Independent Evaluation Group, 2015; Mountain, Cahill & Thorpe, 2017; Neil & Christensen, 2009). These interventions should take place early in child development; target risk and protective factors, rather than disorders; and promote change across multiple environments (home and school) (National Research Council and Institute of Medicine, 2009a). 

Many interventions have shown efficacy in research settings and effectiveness in community-based settings, but the frequency with which evidence-based practices are employed is low, despite evidence of their effectiveness among youth (APA Presidential Task Force, 2006; APA Task Force on Evidence-Based Practice for Children and Adolescents, 2008; Kazak et al., 2010; Weisz et al., 2006). Evidence-based practice in psychology (EBPP)5, which is the integration of the best available research with clinical expertise in the context of patient characteristics, culture, and preferences (APA Presidential Task Force, 2006; Levant, 2005), has garnered increased attention in the context of mental and behavioral health interventions among youth (e.g., APA Task Force on Evidence-Based Practice for Children and Adolescents, 2008; Kazak et al., 2010)6.

At the systems level, important factors to consider for improving dissemination and implementation, as well as promoting mental and behavioral health, include the settings in which prevention and early interventions take place (APA Task Force on Evidence-Based Practice for Children and Adolescents, 2008; Kazak et al., 2010; Southam-Gerow et al., 2012). Despite lower usage of evidence-based practices among youth and community-based settings, literature reviews have indicated that there are numerous evidence-based practices for children and adolescents for a variety of presenting conditions, including anxiety, attention difficulties, depression, conduct disorders, traumatic stress, substance use, eating problems, and mental and behavioral health diagnoses and problems related to developmental disabilities (Breland- Noble, Al-Mateen & Singh, 2016; Breland-Noble, Burriss & Poole, 2010; Eyberg, Nelson & Boggs, 2008; Flay et al., 2005; Weisz, Doss & Hawley, 2005; Weisz, Jensen-Doss & Hawley, 2006)6.  Adaptations of these evidence-based practices should be considered, especially in terms of client characteristics, developmental modifications, culture and other contextual processes, and family preferences (cf., Chorpita & Daleiden, 2009; Roberts & James, 2008; Roberts, Blossom, Evans, Amaro & Kanine, 2017). Cultural attunement, the practice of developing new interventions specifically for minority groups, is a more nascent area that promises to improve a tailored approach to serving minorities (Falicov, 2009). 

Barriers to successful implementation of evidence-based practice in community clinical settings involve multiple domains, including the child level (e.g., youth in community settings have higher levels of comorbidity and contextual risk, as well as greater levels of ethnic and socioeconomic diversity than those treated in research settings); the clinician level (e.g., reservations about applicability or utility of evidence-based practices); and the system level (e.g., availability of resources, training, or supervision) (Roberts et al., 2017; Southam-Gerow, Rodriguez, Chorpita & Daleiden, 2012; Whaley & Davis, 2007). Moreover, research on evidence-based practice often includes samples that might not generalize to clients seen in community-based settings (Kazak et al., 2010; Southam-Gerow et al., 2012; Weisz et al., 2006; Whaley & Davis, 2007).

Currently it takes many years for any original research to inform practice, creating an additional barrier in bridging the research to practice gap (e.g., Grant, Green, & Mason, 2003). Although significant issues remain with extensively implementing evidence-based interventions in community-based settings (Flay et al., 2005; Lochman et al., 2009; Southam-Gerow et al., 2012), numerous implementation frameworks have been developed (Albers et al., 2017). Implementation frameworks involve multiple factors, including stages, collaboration, key stakeholders across settings and domains, training, and supervision.  Yet more work needs to be done to move from the current, comprehensive implementation frameworks towards a more flexible, modular approach (Albers et al., 2017; Breland- Noble, Burriss, & Poole, 2010). It would be helpful to research and understand barriers to implementation and sustainability (e.g., staff turnover, resources) by evaluating the most effective means of gaining support from key stakeholders and how to address concerns with adopting evidence-based practice at the clinician and contextual levels (e.g., APA Task Force on Evidence-Based Practice for Children and Adolescents, 2008; Kazak et al., 2010; McHugh & Barlow, 2010; Southam-Gerow et al., 2012). Dissemination and implementation of these evidence-based practices in alternative and real-world settings, such as community- based settings, needs to increase (APA Task Force on Evidence-Based Practice for Children and Adolescents, 2008; Beidas & Kendall, 2010; Beidas et al., 2012; Kazak et al., 2010; Whaley & Davis, 2007).

To increase society’s capacity to serve periodic and subclinical-level child mental and behavioral health needs, mental and behavioral health should be addressed where children live, play, work, pray, and grow (Society for Research in Child Development, 2009; Tolan & Dodge 2005). The mental and behavioral health treatment enterprise needs to be interdisciplinary in order to fully understand and address the complex issues families face. Partnering and bringing together different sources of knowledge and expertise (both traditional and nontraditional providers), with the goal of promoting child mental and behavioral health and addressing mental and behavioral health problems, is key to influencing change in public understanding of, and attitude towards, child mental and behavioral health. Beginning in infancy, collaborations across systems, integrated mental health services, and parenting consultations, where all children and families access services (i.e., primary/specialty care, schools, early childhood education, child care, and home visiting programs) are essential (e.g., Adams, Hinojosa, Armstrong, Takagishi & Dabrow, 2016; Biel, Anthony, Mlynarski, Godoy & Beers, 2017; Kaliebe, 2017; Splett & Maras, 2011; Woltmann et al., 2012; Yu, Kolko, & Torres, 2017)). Providing services to children in school is especially important due to the link between good student health, mental and behavioral health, and academic success (Hass & Fosse, 2008). The data shows that most children receive mental health services at school (Farmer et al., 2003; Rones & Hoagwood, 2000). It is also critical to ensure smooth transitions from pediatric to adult health and mental and behavioral health care and social services, particularly for adolescents with chronic conditions and/or developmental disabilities (National Research Council and Institute of Medicine, 2009b; Institute of Medicine and National Research Council, 2015).  Additionally, in order to reduce health disparities, more research is needed to examine implementation of mental and behavioral health promotion, prevention, and intervention programs across diverse settings that utilizes screening to identify risk, and that tests the outcomes of culturally appropriate adaptations to evidence-based programs.

Child and Adolescent Mental and Behavioral Health Workforce 

Education and training are needed for those who work with young children and families in various settings (i.e. education, medical and mental health care, rural communities, faith-based services) about the importance of childhood mental and behavioral health, its importance in healthy development and social/emotional development (Society for Child and Family Policy and Practice, 2013), and the availability of evidence-based prevention and intervention practices. The lack of availability and limited access to mental and behavioral health care and services is especially evident within rural areas due to distance, transportation, and a shortage of mental and behavioral health providers working within these areas (National Academy of Sciences, 2017). To meet the needs of rural populations, there needs to be an increase in mental and behavioral health workers who are specifically trained and willing to work in rural populations (National Academy of Sciences, 2017). Additionally, in order to have culturally appropriate adaptations, the diversity of the mental and behavioral health (including psychology) workforce needs to be addressed.  While the ethnic and racial diversity of the U.S. population continues to grow, the psychology workforce has largely remained majority White, with less than 12 percent being from diverse racial and ethnic groups (APA, 2017b), leading to a substantial shortage of racial/ethnic minority providers of mental and behavioral health services (SAMHSA, 2016). It is important to have ethnically diverse and competent providers, educators, and researchers within the field, in order to both meet the needs of the public and uphold psychology’s commitment to social justice (Maton et al., 2006; Vasquez & Jones, 2006).  It is equally important to ensure that providers engage in culturally sensitive assessment and intervention (APA, 2017c; Turner et al., in press).  The lack of providers from diverse racial and ethnic groups influences disparities in prevention, assessment and treatment among racial and ethnic minority populations (e.g., APA, 2017c; Turner et al., in press). 

Not only is it important to have diversity in terms of race and ethnicity, it also necessary to encourage diversity in terms of gender, disability status, sexual orientation, and gender identity, in order to truly meet the needs of a diverse population. Additionally, professional education and training is needed to address gender-specific concerns, including provision of clinical services, efforts to counter biased policy, efforts to highlight and remove barriers to psychological well-being and to reduce bias based on perceived gender. The literature notes that client-therapist matching may be important to rapport and intervention success, therefore increasing the diversity of the profession is important (e.g., Turner, Malone, & Douglas, in press; Vasquez & Jones, 2006). Policy efforts at the university, state, and national level are needed to increase the number of psychologists from diverse groups to address equity, fairness, and services to the public (e.g., Turner & Turner, 2015; Vasquez & Jones, 2006). 

To increase diversity within the field, there needs to be more diversity within the pool of students pursuing higher degrees in the field of psychology (Turner & Turner, 2015; Vasquez & Jones, 2006). To improve the pipeline, academic support, and recruitment and retention of these students, diverse faculty are important at the undergraduate and graduate level (Maton, Kohout, Wicherski, Leary & Vinokurov, 2006; Vasquez & Jones, 2006). However, research shows that recruitment and retention are influenced by lack of financial resources, limited peer-faculty support, and mis-match between the student and doctoral programs (e.g., Callahan et al., 2018; Evans & Cokley, 2008; Turner & Turner, 2015; Vasquez & Jones, 2006; Yeo, Erickson Cornish & Meyer, 2017).

Summary 

Childhood mental and behavioral health is essential to health and wellbeing across the lifespan. While psychology has made substantial contributions to promoting children’s mental and behavioral health, much remains to be done. Structural determinants of mental and behavioral health, limitations in access to, and implementation of, evidence-based prevention and treatment practices, and workforce and training needs persist. Without renewed attention from psychology, mental and behavioral health problems, disparities, and societal costs will continue.

Footnotes

1 The term child mental and behavioral health, as used in this resolution, includes mental, social, and emotional health of all infants, children and adolescents, including those with developmental disorders, physical disabilities, and chronic medical conditions. This definition contrasts with the notion of child mental illness, in that mental illness denotes a condition or disorder that meets DSM/ICD criteria. This definition is consistent with the Report of the Surgeon General's Conference on Children's Mental Health (2000) which states, “mental health is a critical component of children's learning and general health.” It is also consistent with the World Health Organization (WHO) (2014) definition: “Mental health is defined as a state of well-being in which every individual realizes his or her own potential, can cope with the normal stresses of life, can work productively and fruitfully, and is able to make a contribution to her or his community.”

2 The Child and Adolescent Mental and Behavioral Health Resolution is a document relevant specifically to the United States, due to the science referenced in this document being largely based on US populations, which may or may not reflect on other countries.

3 See next section on Structural Determinants of Mental Health for examples of risk factors.

4 For more information on evidence-based prevention and treatment programs specific to children and families, please visit https://effectivechildtherapy.orgopens in new window , https://infoaboutkids.orgopens in new window and  https://pedpsych.org/ebp_resourcesopens in new window

5 This definition of EBPP closely parallels the definition of evidence-based practice adopted by the Institute of Medicine (2001, p. 147) as adapted from Sackett and colleagues (2000): “Evidence-based practice is the integration of best research evidence with clinical expertise and patient values.” The purpose of EBPP is to promote effective psychological practice and enhance public health by applying empirically supported principles of psychological assessment, case formulation, therapeutic relationship, and intervention (APA, 2006).

Best available research refers to, “to scientific results related to intervention strategies, assessment, clinical problems, and patient populations in laboratory and field settings as well as to clinically relevant results of basic research in psychology and related fields. A sizeable body of evidence drawn from a variety of research designs and methodologies attests to the effectiveness of psychological practices. Generally, evidence derived from clinically relevant research on psychological practices should be based on systematic reviews, reasonable effect sizes, statistical and clinical significance, and a body of supporting evidence (APA, 2006).”

6 Also see articles in (1) Real-World Applications of Evidence-Based Interventions in Pediatric Psychology Special Issue of the APA Journal Clinical Practice in Pediatric Psychology , Vol. 2, No. 3, September 2014; (2) JCAAP Evidence-Based Series Article Collection, Journal of Clinical Child & Adolescent Psychology ; (3) Weisz, J.R., Doss, A.J., & Hawley, K.M. (2005). Youth psychotherapy outcome research: A review and critique of the evidence base. Annual Review of Psychology , 56, 337-363.

References

Adams, C. D., Hinojosa, S., Armstrong, K., Takagishi, J., & Dabrow, S. (2016). An innovative model of integrated behavioral health: school psychologists in pediatric primary care settings. Advances in School Mental Health Promotion, 9(3-4), 188-200.

Albers, B., Mildon, R., Lyon, A.R., & Shlonsky, A. (2017). Implementation frameworks in child, youth and family services – Results from a scoping review. Children and Youth Services Review, 81, 101-116.

Albert, D., Chein, J., & Steinberg, L. (2013). Peer influences on adolescent decision-making. Current Directions in Psychological Science, 22, 80-86.

Alegría, M., Green, J. G., McLaughlin, K. A., & Loder, S. (2015). Disparities in child and adolescent mental health and mental health services in the US. William T. Grant Foundation. https://philanthropynewyork.org/sites/default/files/resources/Disparitiesinchildandadolescenthealth.pdfopens in new window.

Alegría, M., Vallas, M., & Pumariega, A. J. (2010). Racial and ethnic disparities in pediatric mental health. Child and Adolescent Psychiatric Clinics of North America, 19, 759-774.

Agency for Healthcare Research and Quality. (2012). Household Component of the Medical Expenditures Panel Survey . https://meps.ahrq.gov/data_files/publications/st472/stat472.shtmlopens in new window.

American Academy of Pediatrics. (2014). Adverse Childhood Experiences and the Lifelong Consequences of Trauma. 

American Psychological Association. (2008). Task Force on Evidence-Based Practice for Children and Adolescents. Disseminating Evidence-Based Practice for Children and Adolescents: A Systems Approach to Enhancing Care. Washington, DC: American Psychological Association.

American Psychological Association. (2011). Task Force on Guidelines for Assessment and Treatment of Persons with Disabilities. Guidelines for Assessment of and Interventions with Persons with Disabilities. https://www.apa.org/pi/disability/resources/assessment-disabilities.

American Psychological Association. (2017a). Working Group for Addressing Racial and Ethnic Disparities in Youth Mental Health. Addressing the mental health needs of racial and ethnic minority youth: A guide for practitioners. https://www.apa.org/pi/families/resources/mental-health-needs.pdfopens in new window.

American Psychological Association. (2017b). Demographics of U.S. Psychology Workforce [interactive data tool]. https://www.apa.org/workforce/data-tools/demographics.

American Psychological Association. (2017c).  Multicultural Guidelines: An Ecological Approach to Context, Identity, and Intersectionality. https://www.apa.org/about/policy/multicultural-guidelines.pdfopens in new window.

American Psychological Association. (2018a). Safe and Supportive Schools Project: Youth at Disproportionate Risk. https://www.apa.org/pi/lgbt/programs/safe-supportive/disproportionate-risk.

American Psychological Association. (2018b). Working Group on Health Disparities in Boys and Men. Health disparities in racial/ethnic and sexual minority boys and men. https://www.apa.org/pi/health-disparities/resources/race-sexuality-men.

American Psychological Association & National Association of School Psychologists. (2015). Resolution on gender and sexual orientation diversity in children and adolescents in schools. https://www.apa.org/about/policy/orientation-diversity.

American Psychological Association Presidential Task Force on Evidence-Based Practice. (2006). Evidence-based practice in psychology. American Psychologist, 61, 271-285.

Anderson, L.M., Shinn, C., Fullilove, M.T., Scrimshaw, S.C., Fielding, J.E., Normand, J., Carande-Kulis, V.G., & the Task Force on Community Preventive Services. (2003). The effectiveness of early childhood development programs: A systematic review. American Journal of Preventive Medicine, 24(3S), 32-46.

Atkins, M. S., Graczyk, P. A., Frazier, S. L., & Abdul-Adil, J. (2003). Toward a New Model for Promoting Urban Children's Mental Health: Accessible, Effective, and Sustainable School-Based Mental Health Services. School Psychology Review, 32(4), 503-514.

Austin, A., & Wagner, E. F. (2010). Treatment attrition among racial and ethnic minority youth. Journal of Social Work Practice in the Addictions, 10 , 63-80.

Beidas, R.S. & Kendall, P.C. (2010). Training therapists in evidence-based practice: A critical review of studies from a systems-contextual perspective. Clinical Psychology: Science and Practice, 17(1),1–30.

Beidas, R.S., Mychailyszyn, M.P., Edmunds, J.M., Khanna, M.S., Downey, M.M., Kendall, P.C. (2012). Training school mental health providers to deliver cognitive-behavioral therapy. School Mental Health , 4(4),197–206.

Benner, A., Wang, Y., Shen, Y., Boyle, A., Polk, R., & Cheng, Y. (2018). Racial/ethnic discrimination and well-being during adolescence: A meta-analytic review. American Psychologist, 73(7), 855–883 .

Berger, A. (2011). Self-Regulation: Brain, Cognition and Development. Washington DC: APA Press.

Biel, M. G., Anthony, B. J., Mlynarski, L., Godoy, L., & Beers, L. S. (2017). Collaborative training efforts with pediatric providers in addressing mental health problems in primary care. Academic Psychiatry , 41(5), 610-616.

Blueprints for Healthy Youth Development. (2018). Blueprints programs. www.blueprintsprograms.com/programsopens in new window

Breland-Noble, A. M., Al-Mateen, C. S., & Singh, N. N. (Eds.). (2016). Handbook of mental health in African American youth. New York: Springer.

Breland-Noble, A. M., Burriss, A., & Poole, H. K. (2010). Engaging depressed African American adolescents in treatment: Lessons from the AAKOMA PROJECT. Journal of Clinical Psychology , 66(8), 868-879.

Breslau, J., Lane, M., Sampson, N., & Kessler, R. C. (2008). Mental disorders and subsequent educational attainment in a US national sample. Journal of Psychiatric Research , 42(9), 708-716.

Brown, B., & Bzostek, S. (2003). Violence in the Lives of Children. https://www.childtrends.org/wp-content/uploads/2003/01/2003-15ViolenceChildren.pdfopens in new window .

Callahan, J. L., Smotherman, J. M., Dziurzynski, K. E., Love, P. K., Kilmer, E. D., Niemann, Y. F., & Ruggero, C. J. (2018). Diversity in the professional psychology training-to-workforce pipeline: Results from doctoral psychology student population data. Training and Education in Professional Psychology .

Casey, B.J., Getz, S., Galvan, A. (2008). The Adolescent Brain. Developmental Review, 28, p. 62-77.

Center on the Developing Child. (2014). Key Concepts: Toxic Stress. Harvard University. https://developingchild.harvard.edu/key_concepts/toxic_stress_responseopens in new window.

Center on the Developing Child at Harvard University. (2015). Supportive Relationships and Active Skill-Building Strengthen the Foundations of Resilience: Working Paper No. 13. www.developingchild.harvard.eduopens in new window.

Center on the Developing Child at Harvard University. (2016).  From Best Practices to Breakthrough Impacts: A Science-Based Approach to Building a More Promising Future for Young Children and Families. https://46y5eh11fhgw3ve3ytpwxt9r-wpengine.netdna-ssl.com/wp-content/uploads/2016/05/From_Best_Practices_to_Breakthrough_Impacts-4.pdfopens in new window.

Chambers, R.A., Taylor, J.R., & Potenza, M.N. (2003). Developmental neurocircuitry of motivation in adolescence: a critical period of addiction vulnerability . The American Journal of Psychiatry , 160(6), 1041–1052.

Chatterji, P., Alegría, M., & Takeuchi, D. (2009). Racial/ethnic differences in the effects of psychiatric disorders on employment. Atlantic Economic Journal, 37 , 243-257.

Chorpita, B. F., & Daleiden, E. L. (2009). Mapping evidence-based treatments for children and adolescents: Application of the distillation and matching model to 615 treatments from 322 randomized trials. Journal of Consulting and Clinical Psychology, 77, 566-579.

Chorpita, B. F., Daleiden, E. L., Ebesutani, C., Young, J., Becker, K. D., Nakamura, B. J., Phillips, L., Ward, A., Lynch, R., Trent, L., Smith, R. L., Okamura, K., & Starace, N. (2011). Evidence-based treatments for children and adolescents: An updated review of indicators of efficacy and effectiveness. Clinical Psychology: Science and Practice, 18, 154-172.

Cohn, T. J., & Leake, V. S. (2012). Affective distress among adolescents who endorse same-sex sexual attraction: Urban versus rural differences and the role of protective factors. Journal of Gay & Lesbian Mental Health, 16(4). 291-305.

Coker, T., Austin, S., & Schuster, M. (2010). The Health and Health Care of Lesbian, Gay, and Bisexual Adolescents. Annual Review of Public Health, 31(1), 457-477.

Conti, G. & Heckman, J.J. (2013). The developmental approach to child and adult health. Pediatrics, 131, S133-S141.

Cross-Disorder Group of the Psychiatric Genomics Consortium. (2013). Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. The Lancet , 381 , 1371-1379.

Danese, A. & McEwen, B.S. (2012). Adverse childhood experiences, allostasis, allostatic load, and age-related disease. Physiology and Behavior, 106, 29-29.

Dennis, J. M., Parke, R. D., Coltrane, S., Blacher, J., & Borthwick-Duffy, S. A. (2003). Economic pressure, maternal depression, and child adjustment in Latino families: An exploratory study. Journal of Family and Economic Issues, 24, 183-202.

Diamond, A. (2013). Executive Functions. Annual Review of Psychology . 64 , 135–168.

Dunn, E. C., Uddin, M., Subramanian, S. V., Smoller, J. W., Galea, S., & Koenen, K. C. (2011). Research review: Gene–environment interaction research in youth depression – a systematic review with recommendations for future research. Journal of Child Psychology and Psychiatry , 52(12), 1223-1238.

Eisenberg, M. E., & Resnick, M. D. (2006). Suicidality among Gay, Lesbian and Bisexual Youth: The Role of Protective Factors. Journal of Adolescent Health, 39(5), 662-668.

Evans, G. L., & Cokley, K. O. (2008). African American women and the academy: Using career mentoring to increase research productivity. Training and Education in Professional Psychology, 2 (1), 50-57.

Eyberg, S.M., Nelson, M.M., & Boggs, S.R. (2008). Evidence-based psychosocial treatments for children and adolescents with disruptive behavior. Journal of Clinical Child and Adolescent Psychology, 37, 215-237.

Falicov, C. J. (2009). Commentary: On the wisdom and challenges of culturally attuned treatments for Latinos. Family Process , 48(2), 292-309.

Farmer, E. M., Burns, B. J., Philip, S. D., Angold, A., & Costello, E. J. (2003). Pathways into and through mental health services for children and adolescents. Psychiatric Services , 54, 60–67.

Farn, A. & Adams, J. (2016). Education and interagency collaboration: A lifeline for justice involved youth. Washington, DC: Center for Juvenile Justice Reform, Georgetown University McCourt School of Public Policy. https://cjjr.georgetown.edu/wpcontent/uploads/2016/08/Lifeline-for-Justice-Involved-Youth_August-2016.pdfopens in new window.

Felitti, V., Anda, R., Nordenberg, D., Williamson, D. F., Spitz, A.M., Edwards, V., Koss, M.P., & Marks, J.S., (1998). Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: The Adverse Childhood Experiences Study. American Journal of Preventive Medicine, 14, 245-258.

Flay, B.R., Biglan, A., Boruch, R.F., Gonzalez Castro, F., Gottfredson, D., Kellam, S., Moscicki, E.K., Schinke, S., Valentine, J.C., & Ji, P. (2005). Standards of evidence: Criteria for efficacy, effectiveness and dissemination. Prevention Science, 6, 151-175.

Fredriksen-Goldsen, K. I., Simoni, J. M., Kim, H.-J., Lehavot, K., Walters, K. L., Yang, J., …, Muraco, A. (2014). The health equity promotion model: Reconceptualization of lesbian, gay, bisexual, and transgender (LGBT) health disparities. American Journal of Orthopsychiatry , 84(6), 653-663.

Frick, P. J. (2012). Developmental pathways to conduct disorder: Implications for future directions in research, assessment, and treatment. Journal of Clinical Child and Adolescent Psychology , 41(3), 378-389.

Frick, P. J. (2016). Current research on conduct disorder in children and adolescents. South African Journal of Psychology , 46(2), 160-174.

Giedd J. , Raznahan A., Alexander-Bloch A., Schmitt E., Gogtay N., & Rapoport J.L. (2015). Child psychiatry branch of the National Institute of Mental Health longitudinal structural magnetic resonance imaging study of human brain development. Neuropsychopharmacology , 40 , 43-9. 

Grant J., Green L., & Mason B. (2003). Basic research and health: a reassessment of the scientific basis for the support of biomedical science. Research Evaluation, 12, 217-224.

Green, M., Clopton, J., & Pope, A. (1996). Understanding Gender Differences in Referral of Children to Mental Health Services. Journal of Emotional and Behavioral Disorders,  4 (3), 182-190.

Gudiño, O. G., Lau, A. S., Yeh, M., McCabe, K. M., & Hough, R. L. (2009). Understanding racial/ethnic disparities in youth mental health services: Do disparities vary by problem type?. Journal of Emotional and Behavioral Disorders , 17(1), 3-16.

Halfon, N. & Hochstein, M. (2002). Life course health development: an integrated framework for developing health, policy, and research. Milbank Quarterly, 80 , 433–79.

Halfon, N., Wise, P.H., & Forrest, C.B. (2014). The changing nature of children's health development: New challenges require major policy solutions. Health Affairs, 33, 2116-2124.

Haas, S. A., & Fosse, N. E. (2008). Health and the educational attainment of adolescents: Evidence from the NLSY97. Journal of Health & Social Behavior, 49(2), 178-192.

Hendricks, M. L., & Testa, R. J. (2012). A conceptual framework for clinical work with transgender and gender non-conforming clients: An adaptation of the Minority Stress Model. Professional Psychology: Research and Practice, 43(5), 460-467.

Hirvikoski, T., Mittendorfer-Rutz, E., Boman, M., Larsson, H., Lichtenstein, P., & Bölte, S. (2016). Premature mortality in autism spectrum disorder. British Journal of Psychiatry, 208(03), 232-238.

Institute of Medicine and National Research Council. (2015) Investing in the Health and Well-being of Young Adults. Washington, DC: National Academies Press.

Kaliebe, K. E. (2017). Expanding our Reach: Integrating Child and Adolescent Psychiatry into Primary Care at Federally Qualified Health Centers. Journal of the American Academy of Child & Adolescent Psychiatry, 56(11), 907-909.

Kataoka, S. H., Zhang, L., & Wells, K. B. (2002). Unmet need for mental health care among US children: Variation by ethnicity and insurance status. American Journal of Psychiatry, 159, 1548-1555.

Kazak, A.E., Hoagwood, L., Weisz, J.R., Hood, K., Kratochwill, T.R., Vargas, L.A., & Banez, G.A. (2010). A meta-systems approach to evidence-based practice for children and adolescents. American Psychologist , 65, 85-97.

Kearney, C. A., Wechsler, A., Kaur, H., & Lemos-Miller, A. (2010). Posttraumatic stress disorder in maltreated youth: A review of contemporary research and thought. Clinical Child and Family Psychology Review , 13(1), 46-76.

Kelly, S., Anderson, D., Hall, L., Peden, A., & Cerel, J. (2012). The Effects of Exposure to Gang Violence on Adolescent Boys' Mental Health. Issues in Mental Health Nursing ,  33 (2), 80-88.

Kessler, R.C., Berglund, P., Demler, O., Jin, R., Merikangas, K.R., & Walters, E.E. (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry , 62, 593-602.

Kessler, R.C. & Wang, P.S. (2008). The descriptive epidemiology of commonly occurring mental disorders in the United States. Annual Review of Public Health, 29, 115-129.

Latimer, K., Wilson, P., Kemp, J., Thompson, L., Sim, F., Gillberg, C., . . . Minnis, H. (2012). Disruptive behavior disorders: A systematic review of environmental antenatal and early years risk factors. Child Care, Health and Development , 38(5), 611-628.

Leslie, L.K., Mehus, C.J., Hawkins, J.D., Boat, T., McCabe, M.A., Barkin, S., Perrin, E., Metzler, C., Prado, G., Tait, V.F., Brown, R., & Beardslee, W. (2016). Primary health care: potential home for family-focused preventive interventions. American Journal of Preventive Medicine , 51 , 106-118.

Levant, R.F. (2005). Report of the 2005 Presidential Task Force on Evidence-Based Practice. https://www.apa.org/practice/resources/evidence/evidence-based-report.pdfopens in new window.

Lindsey, M., Joe, S., & Nebbitt, V. (2010). Family Matters: The Role of Mental Health Stigma and Social Support on Depressive Symptoms and Subsequent Help Seeking Among African American Boys. Journal of Black Psychology , 36(4), 458-482.

Lochman, J.E., Boxmeyer, C., Powell, N., Wi, L., Wells, K., & Windle, M. (2009). Dissemination of the Coping Power Program: Importance of intensity of counselor training. Journal of Consulting and Clinical Psychology, 77, 397-409.

Luciana, M. & Collins, P.F. (2012). Incentive motivation, cognitive control and the adolescent brain: Is it time for a paradigm shift? Child Development Perspectives, 6, 392-399.

Masten, A. (2014). Ordinary Magic: Resilience in Development. NY: Guilford.

Maton, K. I., Kohout, J. L., Wicherski, M., Leary, G. E., & Vinokurov, A. (2006). Minority students of color and the psychology graduate pipeline: Disquieting and encouraging trends, 1989-2003.  American Psychologist ,  61 (2), 117-131.

Matson, J.L. & Williams, L.W. (2013). Differential diagnosis and comorbidity: distinguishing autism from other mental health issues. Neuropsychiatry , 3, 233-243.

Melchior, M., Caspi, A., Howard, L.M., Ambler, A. P., Bolton, H., Mountain, N., Moffitt, T. E. (2009). Mental health context of food insecurity: A representative cohort of families with young children. Pediatrics, 124 , e564-e572.

Mendelson, T., Kubzansky, L., Datta, G., & Buka, S. (2008). Relation of female gender and low socioeconomic status to internalizing symptoms among adolescents: A case of double jeopardy?. Social Science & Medicine , 66(6), 1284-1296.

Merikangas, K., He, J., Burstein, M., Swendsen, J., Avenevoli, S., & Case, B. et al. (2011). Service Utilization for Lifetime Mental Disorders in U.S. Adolescents: Results of the National Comorbidity Survey–Adolescent Supplement (NCS-A). Journal of the American Academy of Child & Adolescent Psychiatry, 50(1), 32-45.

Meyer, I. H. (2003). Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: Conceptual issues and research evidence. Psychological Bulletin , 129, 674–697.

Molina, K.M., Alegría, M., Chen, C. (2012). Neighborhood context and substance use disorders: a comparative analysis of racial and ethnic groups in the United States. Drug and Alcohol Dependence, 125, S35-S43.

Mountain, G., Cahill, J., & Thorpe, H. (2017). Sensitivity and attachment interventions in early childhood: A systematic review and meta-analysis. Infant Behavior and Development, 46, 14-32.

Mustanski, B., Garofalo, R., & Emerson, E. (2010). Mental health disorders, psychological distress, and suicidality in a diverse sample of lesbian, gay, bisexual, and transgender youths. American Journal of Public Health , 100(12), 2426-2432.

National Academies of Sciences, Engineering, and Medicine. (2017). Training the Future Child Health Care Workforce to Improve Behavioral Health Outcomes for Children, Youth, and Families Proceedings of a Workshop—in Brief. Washington, DC: National Academies Press.

National Association of School Psychologists. (2015). Early Childhood services: Promoting positive outcomes for young children. [Position statement]. Bethesda, MD: Author.

National Research Council and Institute of Medicine. (2009a). Preventing mental, emotional, and behavioral disorders among young people: progress and possibilities. Washington, DC: National Academies Press.

National Research Council and Institute of Medicine (2009b). Adolescent Health Services: Missing Opportunities. Washington DC: National Academies Press.

National Research Council and Institute of Medicine. (2011). The Science of Adolescent Risk-Taking: Workshop Report. Washington DC: National Academies Press.

Neil, A. L. & Christensen, H. (2009). Efficacy and effectiveness of school-based prevention and early intervention programs for anxiety. Clinical Psychology Review , 29, 208-215.

Nolen-Hoeksema, S., & Girgus, J. (1994). The emergence of gender differences in depression during adolescence. Psychological Bulletin , 115(3), 424-443.

Paus, T., Keshavan , M. & Giedd , J.N. (2008). Why do many psychiatric disorders emerge during adolescence ? Nature Reviews Neuroscience, 9 , 947-957.

Reiss, F. (2013). Socioeconomic inequalities and mental health problems in children and adolescents: A systematic review. Social Science & Medicine , 90, 24-31.

Roberts, M.C., Blossom, J.B., Evans, S.C., Amaro, C.M., & Kanine, R.M. (2017). Advancing the scientific foundation for evidence-based practice in clinical child and adolescent psychology. Journal of Clinical Child and Adolescent Psychology, 46, 915-928.

Roberts, M. C., & James, R. L. (2008). Empirically supported treatments and evidence-based practice for children and adolescents. In R. G. Steele, T. D. Elkin & M. C. Roberts (Eds.), Handbook of evidence-based therapies for children and adolescents: Bridging science and practice, 9-24, Springer Science + Business Media, New York, NY.

Rones, M., & Hoagwood, K. (2000). School-based mental health services: A research review. Clinical Child and Family Psychology Review, 3(4), 223–241.

Russell, A. E., Ford, T., Williams, R., & Russell, G. (2016). The association between socioeconomic disadvantage and attention deficit/hyperactivity disorder (ADHD): A systematic review. Child Psychiatry and Human Development , 47(3), 440-458.

Russell, S. T., Ryan, C., Toomey, R. B., Diaz, R. M., & Sanchez, J. (2011). Lesbian, gay, bisexual, and transgender adolescent school victimization: Implications for young adult health and adjustment. Journal of School Health , 81(5), 223-230.

Sampson, R.J., Morenoff, J.D., & Gannon-Rowley, T. 2002. Assessing “neighborhood effects”: Social processes and new directions in research. Annual Review of Sociology , 443-478.

Seedat, S., Scott, K., Angermeyer, M., Berglund, P., Bromet, E., & Brugha, T. et al. (2009). Cross-National Associations Between Gender and Mental Disorders in the World Health Organization World Mental Health Surveys. Archives of General Psychiatry , 66(7), 785.

Shonkoff, J.P. & Gardner, A. (2012). The Lifelong Effects of Early Childhood Adversity and Toxic Stress. Pediatrics, 1542, 2011-2663.

Shonkoff, J.P., Boyce, W.T., & McEwen, B.S. (2009). Neuroscience, Molecular Biology, and the Childhood Roots of Health Disparities Building a New Framework for Health Promotion and Disease Prevention. JAMA , 301, 2252-2259.

Skinner, E.A. & Zimmer-Gembeck, M.J (Eds.). (2009). Coping and the development of self-regulation. New Directions for Child and Adolescent Development, No. 124. San Francisco: Wiley.

Smith, A.R., Chein, J., & Steinberg, L. (2013). Impact of socio-emotional context, brain development, and pubertal maturation on adolescent risk-taking. Hormones and Behavior, 64 , 323-332.

Society for Child and Family Policy and Practice. (2013). Report of Healthy Development Summit II: Changing Frames and Expanding Partnerships to Promote Children's Mental Health and Social/Emotional Wellbeing. Washington, DC.

Society for Research in Child Development. (2009). Report of Healthy Development: A Summit on Young Children's Mental Health. Partnering with Communication Scientists, collaborating across Disciplines and Leveraging Impact to Promote Children's Mental Health. Washington, DC.

Splett, J. W., & Maras, M. A. (2011). Closing the gap in school mental health: A community-centered model for school psychology. Psychology in the Schools, 48(4), 385-399.

Southam-Gerow, M. A., Rodríguez, A., Chorpita, B. F., & Daleiden, E. L. (2012). Dissemination and implementation of evidence-based treatments for youth: Challenges and recommendations. Professional Psychology: Research and Practice , 43, 527-534.

Strang, N.M., Chein, J.M., & Steinberg, L. (2013). The value of the dual systems model of adolescent risk taking. Frontiers in Human Neuroscience, 7, 1-4.

Substance Abuse and Mental Health Services Administration [SAMHSA], National Registry of Evidence-based Programs and Practices (NREPP). (2016). Learning Center Literature Review: Mental health disparities. Prepared in 2016 by Development Services Group, Inc. under contract no. HHSS 2832 0120 0037i/HHSS 2834 2002T, ref, no. 283-12-3702.

Szyf, M. (2009). The early life environment and the epigenome. Biochimica et Biophysica Acta , 1790, 878-885 .

Tanner, J. C., Candland, T., & Odden, W. (2015). Later Impacts of Early Childhood Interventions: A systematic review. Independent Evaluation Group.

Tercyak, K. P. (Ed.). (2010). Handbook of genomics and the family: Psychosocial context for children and adolescents. New York: Springer.

Tolan, P. H., & Dodge, K. A. (2005). Children's mental health as a primary care and concern: a system for comprehensive support and service. American Psychologist , 60(6), 601.

Turner, E. A., Jensen-Doss, A., & Heffer, R. W. (2015). Ethnicity as a moderator of how parents' attitudes and perceived stigma influence intentions to seek child mental health services. Cultural Diversity and Ethnic Minority Psychology , 21(4), 613.

Turner, E.A . , Malone, C., & Douglas, C. (in press). Barriers to mental health care for African Americans: Applying a model of treatment initiation to reduce disparities. In M. Williams, D. Rosen, & J. Kanter (Eds.), Eliminating Race-Based Mental Health Disparities. New Harbinger Press.

Turner, E.A. & Turner, T. (2015). Diversity in the Psychology Workforce: Challenges and Opportunities to Increase the Presence of African American Males in Psychology Graduate Programs. The Register Report, 41, 26-30.

Turner, H., Finkelhor, D., & Ormrod, R. (2006). The effect of lifetime victimization on the mental health of children and adolescents. Social Science & Medicine, 62(1), 13-27.

Vasquez, M. J., & Jones, J. M. (2006). Increasing the number of psychologists of color: Public policy issues for affirmative diversity. American Psychologist, 61, 132-142.

Veldman, K., Bültmann, U., Almansa, J., & Reijneveld, S. A. (2015). Childhood adversities and educational attainment in young adulthood: The role of mental health problems in adolescence. Journal of Adolescent Health , 57(5), 462-467.

Veldman, K., Reijneveld, S. A., Ortiz, J. A., Verhulst, F. C., & Bültmann, U. (2015). Mental health trajectories from childhood to young adulthood affect the educational and employment status of young adults: Results from the TRAILS study. Journal of Epidemiology and Community Health, 69(6), 588-593.

Wall, M., Cheslack-Postava, K, Hu, M., Feng, T., Griesler, P., & Kandel, D.B. (2018). Nonmedical prescription opioids and pathways of drug involvement in the US: Generational differences. Drug and Alcohol Dependence , 182 , 103-111.

Wang, J.L. (2004). The difference between single and married mothers in the 12-month prevalence of major depressive syndrome, associated factors and mental health service utilization. Social Psychiatry and Psychiatric Epidemiology, 39(1), 26-32.

Washington State Institute for Public Policy (2012). Benefit-Cost Results: Children's Mental Health. https://wsipp.wa.gov/BenefitCost?topicId=5opens in new window.

Weisz, J.R., Doss, A.J., & Hawley, K. M. (2005). Youth psychotherapy outcome research: A review and critique of the evidence base. Annual Review of Psychology, 56, 337-363.

Weisz, J. R., Jensen-Doss, A., & Hawley, K. M. (2006). Evidence-based youth psychotherapies versus usual clinical care: A meta-analysis of direct comparisons. American Psychologist , 61, 671-689.

Whaley, A. L., & Davis, K. E. (2007). Cultural competence and evidence-based practice in mental health services: A complementary perspective. American Psychologist , 62, 563-574.

Woltmann, E., Grogan-Kaylor, A., Perron, B., Georges, H., Kilbourne, A. M., & Bauer, M. S. (2012). Comparative effectiveness of collaborative chronic care models for mental health conditions across primary, specialty, and behavioral health care settings: systematic review and meta- analysis.  American Journal of Psychiatry,  169 (8), 790-804.

World Health Organization. (2014). Mental health: A state of well-being. https://www.who.int/features/factfiles/mental_health/enopens in new window.

World Health Organization. (2018). International classification of diseases-11 (ICD-11) for Mortality and Morbidity Statistics (ICD-11 MMS) 2018 version Chapter 06: Mental, behavioral or neurodevelopmental disorders. https://icd.who.int/browse/2025-01/mms/enopens in new window.

World Health Organization, International. (2018). Gender Disparities in Mental Health.

Yeo, V., Erickson Cornish, J. A., & Meyer, L. (2017). An analysis of diversity content in doctoral health service psychology program websites. Training and Education in Professional Psychology, 11(2), 86-93.

Yoshikawa, H., Aber, J. L., & Beardslee, W. R. (2012). The effects of poverty on the mental, emotional, and behavioral health of children and youth: Implications for prevention. American Psychologist, 67(4), 272-284.

Yu, H., Kolko, D. J., & Torres, E. (2017). Collaborative mental health care for pediatric behavior disorders in primary care: Does it reduce mental health care costs?.  Families, Systems, & Health,  35 (1), 46.

Last updated: June 2022Date created: 2019