Hostname: page-component-76fb5796d-r6qrq Total loading time: 0 Render date: 2024-04-25T14:41:41.975Z Has data issue: false hasContentIssue false

Developmentally appropriate mental health literacy content for school-aged children and adolescents

Published online by Cambridge University Press:  03 May 2023

Anna Kågström*
Affiliation:
Department of Public Mental Health, National Institute of Mental Health, Klecany, Czech Republic WHO Collaborating Center for Public Mental Health Research and Service Development, National Institute of Mental Health, Klecany, Czech Republic
Laura Juríková
Affiliation:
Department of Public Mental Health, National Institute of Mental Health, Klecany, Czech Republic Department of Psychology, Faculty of Arts, Charles University, Prague, Czech Republic
Zoe Guerrero
Affiliation:
Department of Public Mental Health, National Institute of Mental Health, Klecany, Czech Republic WHO Collaborating Center for Public Mental Health Research and Service Development, National Institute of Mental Health, Klecany, Czech Republic
*
Corresponding author: Anna Kågström; Email: Anna.Kagstrom@nudz.cz
Rights & Permissions [Opens in a new window]

Abstract

Although improving the mental health of children and adolescents has become a global priority, resources outlining developmentally appropriate content for improving mental health literacy (MHL) across school-aged children are scarce. A comprehensive, life-course approach to building MHL is needed to address the evolving competencies, needs, capacities, and risk factors for mental health, especially to establish school-based interventions that can be equitably and sustainably implemented. We conducted a theoretical review highlighting the relation of research and practice in building MHL through developmentally appropriate knowledge and competencies for children and adolescents. A two-pronged review of the literature was conducted to provide an overview of (1) research with a focus on neurobiological, psychological, cognitive, and social developmental milestones of school-aged children relevant for building MHL and (2) evidence-based and theory-driven content for the development of universal MHL interventions for children and adolescents considering the four components of MHL. A map of relevant key milestones highlights the range of development that occurs and ample opportunity for increasing universal MHL during these sensitive years primed for learning. We reflect on current understandings and global considerations for MHL interventions with an emphasis on applying developmental science to the future strengthening of intervention development, uptake, adaptation, implementation, evaluation, and scale-up.

Type
Overview Review
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press

Impact statement

This review addresses the need for more developmental perspectives linking research to practice within the evidence base of mental health literacy (MHL) interventions for children and adolescents. MHL interventions are foundational to a life-course approach for the prevention and promotion of mental health; however, little research outlines developmentally appropriate content for such interventions in children and adolescents. This review identifies key developmental milestones that are necessary for developing knowledge and skills related to building positive MHL, understanding mental illness and treatments, addressing stigma, and promoting help-seeking for mental health problems. We provide a broad overview of a multidisciplinary perspective to MHL, reviewing empirically based content, mapping developmental milestones, and offering theory-driven knowledge and competencies to be considered within the context of developing and implementing interventions for school-aged children. Follow-up studies are warranted to test the theoretical constructs outlined in this review through the application of developmentally targeted interventions across targeted and universal populations of children and adolescents in diverse contexts around the world. This review sheds light on the need for a life course approach to building MHL and calls for more systematic and comprehensive approaches to building MHL over various developmental and life stages, starting with a robust foundation in childhood and adolescence to promote mental health and well-being.

Introduction

The pursuit of mental health and well-being is a fundamental right of all, and improving mental health literacy (MHL) positively impacts both individual and population health (Kelly et al., Reference Kelly, Jorm and Wright2007; Kutcher et al., Reference Kutcher, Wei and Coniglio2016). The burden of mental illness is growing and emerging as a global priority (Vigo et al., Reference Vigo, Thornicroft and Atun2016), and life-course mental health prevention, promotion, and pathways to care are necessary, starting in childhood and adolescence (Patel et al., Reference Patel, Flisher, Hetrick and McGorry2007). Treatment gaps persist for children and adolescents with mental health problems partially stemming from public stigma and lack of knowledge surrounding symptoms of mental illness which can act as barriers to effective help-seeking (Gulliver et al., Reference Gulliver, Griffiths and Christensen2010).

MHL was originally defined as ‘knowledge and beliefs about mental disorders which aid their recognition, management, or prevention’ (Jorm et al., Reference Jorm, Korten, Jacomb, Christensen, Rodgers and Pollitt1997, p. 182). This definition has evolved holistically within the field of public mental health to include four components: (1) understanding how to obtain and maintain positive mental health, (2) understanding mental disorders and their treatments, (3) decreasing stigma related to mental disorders, and (4) enhancing help-seeking (Kutcher et al., Reference Kutcher, Wei and Coniglio2016). This updated definition addresses three interrelated concepts: knowledge, attitudes, and help-seeking efficacy (Wei et al., Reference Wei, McGrath, Hayden and Kutcher2015; Seedaket et al., Reference Seedaket, Turnbull, Phajan and Wanchai2020) and shifted the focus from a mental ill-health approach (or mental disorder literacy) to include the aspects of positive MHL, which has long-term benefits over the life course (Mansfield et al., Reference Mansfield, Humphrey, Patalay, Moore and Stapley2021; WHO and UNICEF, 2021; WHO Regional Office for the Eastern Mediterranean, 2021). MHL is associated with improved community recognition of mental illness and improved attitudes and intended behaviors toward people with mental illnesses (Mcluckie et al., Reference Mcluckie, Kutcher, Wei and Weaver2014; Milin et al., Reference Milin, Kutcher, Lewis, Walker, Wei, Ferrill and Armstrong2016), as well as improvements in social skills and attitudes toward both help-giving (Lo et al., Reference Lo, Gupta and Keating2018) and help-seeking (Gulliver et al., Reference Gulliver, Griffiths and Christensen2010; Mumbauer Pisano and Barden, Reference Mumbauer Pisano and Barden2020) for mental health problems. Young people especially need to be positively equipped with knowledge, skills, and resources that meet their developmental stages and needs (Renwick et al., Reference Renwick, Pedley, Johnson, Bell, Lovell, Bee and Brooks2022).

The building blocks for mental health knowledge and competencies and related health consequences develop early in life, for example, prosocial behaviors and learning skills are associated with decreased health risk behaviors in middle adolescence (Rougeaux et al., Reference Rougeaux, Hope, Viner, Deighton, Law and Pearce2020). Early adolescence is an especially critical period when considering life course trajectories for the onset of mental illness (Merikangas et al., Reference Merikangas, He, Burstein, Swanson, Avenevoli, Cui and Swendsen2010; Solmi et al., Reference Solmi, Radua, Olivola, Croce, Soardo, Salazar de Pablo and Fusar Poli2022), with 50% of all mental disorders emerging by age 14, and 75% by age 25 (Kessler et al., Reference Kessler, Amminger, Aguilar Gaxiola, Alonso, Lee and Ustun2007; Kieling et al., Reference Kieling, Baker Henningham, Belfer, Conti, Ertem, Omigbodun and Rahman2011). All children and adolescents should be equipped with knowledge and competencies for mental health self-care, help-seeking, and help-giving behavior to promote their mental resilience and respond to problems appropriately when they arise.

While applications of developmental theory to educational interventions have been long studied and implemented successfully (Smith, Reference Smith1987), they have yet to emerge within the field of MHL. There is a growing body of evidence indicating the effectiveness of MHL interventions (Amado-Rodríguez et al., Reference Amado-Rodríguez, Casañas, Mas-Expósito, Castellví, Roldan-Merino, Casas, Lalucat-Jo and Fernández-San Martín2022), but resources outlining developmentally appropriate MHL content for school-aged children lack (Kutcher and Wei, Reference Kutcher and Wei2020). Additionally, the links between puberty and brain development with mental health behaviors and outcomes are not well known, in part due to complex and nuanced neurobiological maturation processes that are requisite to the development of new cognitive capabilities (Vijayakumar et al., Reference Vijayakumar, de Macks, Shirtcliff and Pfeifer2018).

To the best of our knowledge, there is no research overviewing theoretical underpinnings of the developmental appropriateness of specific MHL content. A life-course theory-driven approach to building MHL that takes into consideration the plasticity of the brain and developmental stages across childhood and adolescence could enhance approaches of interventions to meet evolving competencies, needs, capacities, and risk factors for mental health in critical early life stages. MHL interventions should be context-specific, developmentally appropriate, and integrated into existing platforms such as schools or communities (Kutcher et al., Reference Kutcher, Wei and Coniglio2016). Since primary and secondary schools are optimally positioned to deliver universal equitable and widespread interventions around the globe to improve MHL (Kutcher and Wei, Reference Kutcher and Wei2020; WHO, 2021), this review focuses on school-aged children and adolescents.

Due to the broad nature of the topic of development across childhood and adolescence as well as the four complex components of MHL, we draw from a wide range of disciplines and fields to provide an overview of both theoretical and intervention-based research. This review is not systematic and therefore has inherent limitations, notably the difficulty in replicability; however, traditional and systematic literature search strategies did not yield the range of results necessary to cover development nor MHL sufficiently. Therefore, this review should be considered as a foundational overview for meaningful engagement in developmental theory-driven approaches to improving MHL content development, intervention, and testing. First, we reviewed research with a focus on biological, neurological psychological, cognitive, emotional, and social development across school-aged children aged 5–19. Next, we reviewed evidence-based interventions across the four components of MHL and triangulated these with key developmental milestones to construct key knowledge and competencies to be built over the course of childhood and adolescence.

Developmental milestones of school-aged children and adolescents

The transition from childhood and adolescence is marked by significant neurobiological, physical, psychological, cognitive, and social developments. The behavioral and neurobiological roots of cognition, emotion, and executive functions in adolescence is well known to be a complex transitional phase in life in terms of vulnerabilities (Crone, Reference Crone2009). When understanding common age patterns in brain activation and behavior, it is essential to keep in mind individual differences (Steinberg, Reference Steinberg2005); however, while every child has a unique developmental process, there are general milestones in terms of brain development and associated capacities for learning which can be used as a theoretical foundation for evidence-informed developmental approaches to building MHL.

The prefrontal cortex (PFC), which is responsible for higher cognitive functions (Casey et al., Reference Casey, Giedd and Thomas2000), plays a critical role in the cognition, emotions, and behaviors of emerging adolescents (Yurgelun-Todd, Reference Yurgelun-Todd2007). The development of the PFC also forms the foundation for increased self-awareness (Ochsner, Reference Ochsner2004). The maximum density of gray matter is reached first in the primary sensorimotor cortex, later in the PFC (Konrad et al., Reference Konrad, Firk and Uhlhaas2013). Therefore, children and adolescents face difficulties regulating emotions since the structures associated with emotional responses such as the amygdala and ventral striatum mature earlier than the PFC which is involved in cognitive control and executive functioning (Martin and Ochsner, Reference Martin and Ochsner2016).

While cortical white matter increases throughout childhood and adolescence (Gogtay et al., Reference Gogtay, Giedd, Lusk, Hayashi, Greenstein, Vaituzis, Nugent, Herman, Clasen, Toga, Rapoport and Thompson2004), gray matter conforms to an inverted U-shaped developmental trajectory. Gray matter initially increases in volume during childhood, reaches a peak in adolescence, and declines steadily into adulthood (Blakemore et al., Reference Blakemore, Burnett and Dahl2010). The development of the PFC is protracted in comparison to other brain regions, and the interaction of individual regions and their imbalance is associated with heightened vulnerability for engaging in risky behavior, reward-seeking, and emotional reactivity, all of which contribute to increased susceptibility to the motivational properties driving novelty-seeking (e.g., substance use) during adolescence (Casey and Jones, Reference Casey and Jones2010; Sturman and Moghaddam, Reference Sturman and Moghaddam2011).

The PFC and the parietal cortex are responsible for executive functions such as goal planning, working memory, decision-making, and selective attention, although different aspects of executive function can have inconsistent developmental trajectories (Blakemore and Choudhury, Reference Blakemore and Choudhury2006). Varied rates for the development of distinct cognitive control processes are partially accounted for by differences in maturational time course between prefrontal subregions (Crone et al., Reference Crone, Wendelken, Donohue, van Leijenhorst and Bunge2006). The late maturation of corticostriatal connectivity is thought to support developmental changes in value-guided and goal-directed behavior in adolescents (Insel et al., Reference Insel, Kastman, Glenn and Somerville2017).

The dorsolateral, ventrolateral, and ventromedial regions of the PFC are also responsible for emotional development, mainly emotional processing, and regulation (Ochsner and Gross, Reference Ochsner and Gross2008). Prefrontal maturation is required to support complex behaviors, and since it is the last brain region to mature (Huttenlocher and Dabholkar, Reference Huttenlocher and Dabholkar1997), guided behavior, working memory, and organizational skills do not reach full capacity until middle-to-late adolescence (Sowell et al., Reference Sowell, Trauner, Gamst and Jernigan2002; Luna et al., Reference Luna, Garver, Urban, Lazar and Sweeney2004; Best and Miller, Reference Best and Miller2010; Caballero et al., Reference Caballero, Granberg and Tseng2016). Low emotional regulation is related to youth psychopathology and is associated with many mental disorders (Ahmed et al., Reference Ahmed, Bittencourt-Hewitt and Sebastian2015). Emotional regulation requires high-level executive and social processes, including working memory, inhibitory control, abstract thought, decision-making, and perspective-taking (Somerville and Casey, Reference Somerville and Casey2010; Blakemore and Robbins, Reference Blakemore and Robbins2012; Dumontheil, Reference Dumontheil2014). These processes are underpinned by structural and functional changes in brain regions that are involved in affect generation and regulation, such as the limbic system and PFC (Ahmed et al., Reference Ahmed, Bittencourt-Hewitt and Sebastian2015; Martin and Ochsner, Reference Martin and Ochsner2016). Many brain structures and functions progressively mature and develop throughout adolescence and continue to grow in adulthood (Somerville, Reference Somerville2016).

During childhood and adolescence, the above changes in brain structure and function gradually improve cognitive and impulse control abilities (Bunge and Wright, Reference Bunge and Wright2007). From 5 to 9 years old, children progressively move from a self-centered perspective to begin to understand that others can have different feelings or views than their own, develop self-competence and a growing attention span, and learn to recognize and respond to the emotions of others (Selman, Reference Selman2003). By age 6, children start developing independence and autonomy and begin to form opinions about moral values and attitudes by adopting a sense of right and wrong (WHO, 2021). Children 7–12 years old develop self-reflective perspective-taking and can consider their own and others’ opinions and feelings simultaneously, can describe personal experiences in detail, and begin to take interest in what others think and do as the importance of friends is heightened (Selman, Reference Selman2003). Perspective-taking is crucial in these years for successful social communication and includes awareness of one’s own mental state and the ability to ascribe mental states to others (Blakemore and Choudhury, Reference Blakemore and Choudhury2006). Higher-order thinking (e.g., problem-solving and self-control) is not fully mature in these early years (Casey et al., Reference Casey, Getz and Galvan2008).

By the ages of 6–9, children explore different coping mechanisms including developing problem-solving and more complex distraction techniques such as shifting focus (Zimmer Gembeck and Skinner, Reference Zimmer Gembeck and Skinner2011). By the ages of 6–12, children can effectively communicate their own opinion and understand the emotions and intentions of others (Westby and Robinson, Reference Westby and Robinson2014). Children aged 8–12 exhibit lower engagement of the dorsolateral PFC, which reflects the maturation of an additional neural circuit aiding in the performance of higher cognitive tasks and abilities (Bunge and Wright, Reference Bunge and Wright2007). Around the age of 9, children can assess their own thoughts and develop self-confidence (Kleitman et al., Reference Kleitman, Stankov, Allwood, Young, Mak and Ching Mok2012), a sense of responsibility and control (Such and Walker, Reference Such and Walker2004), and are able to express their emotions through words more effectively (ASHA, 2022). Until around the age of 12, children primarily perceive the world via concrete thoughts (e.g., black-and-white thinking patterns). Usually, children younger than this age are more egocentric and self-focused, and therefore can act insensitively to others (Martin and Sokol, Reference Martin and Sokol2011).

Around 10 years old, people develop abilities to predict, understand, and conceptualize various perspectives (Selman, Reference Selman2003), and because of improved long-term memory capacity, they succeed in sequencing, ordering, and classifying information by the age of 11 (Forsberg et al., Reference Forsberg, Guitard, Adams, Pattanakul and Cowan2021). Around 11–12 years old, there is a peak of gray matter in the frontal and parietal lobes (Giedd et al., Reference Giedd, Blumenthal, Jeffries, Castellanos, Liu, Zijdenbos and Rapoport1999) followed by a sharp acceleration in the loss of gray matter in the dorsal PFC and the parietal cortex (Sowell et al., Reference Sowell, Thompson, Tessner and Toga2001). This allows for more efficient cognitive processing (Blakemore, Reference Blakemore2008), enabling more thoughtful and complex communication via longer and more complicated sentences and engagement in active listening.

From 10 to 14 years old onward, young adolescents can rely on a wider range of problem-solving skills and are capable of better identifying their own inner emotional states and reacting with new self-regulatory coping strategies (Zimmer Gembeck and Skinner, Reference Zimmer Gembeck and Skinner2011). Early adolescents aged 11–14 experience increased fatigue and need for sleep related to the physical changes of a growth spurt, can experience irritability and secretiveness, are easily embarrassed, and have restricted ability for complex and abstract thought (Gutgesell and Payne, Reference Gutgesell and Payne2004). Though self-control generally increases during adolescence (Zondervan Zwijnenburg et al., Reference Zondervan Zwijnenburg, Richards, Kevenaar, Becht, Hoijtink, Oldehinkel and Boomsma2020), adolescents can be inclined to focus more on the present than the long-term effects and consequences of their actions (Steinberg, Reference Steinberg2010).

From the age of 12 onward, youth gradually shift from concrete to abstract thought (Meschke et al., Reference Meschke, Peter and Bartholomae2012), which enables them to interpret information differently, think complexly, have new and unique thoughts and opinions, and begin to challenge society’s expectations (Napolitano et al., Reference Napolitano, Sewell, Yoon, Soto and Roberts2021). Young adolescents tend to show greater impulsivity and reward-seeking (Steinberg, Reference Steinberg2010), experience mood changes (Weinstein et al., Reference Weinstein, Mermelstein, Hankin, Hedeker and Flay2007), feel more stressed with increased school and domestic responsibilities (Shaw et al., Reference Shaw, Caldwell and Kleiber1996), and their ability to initiate problem-solving grows (Ellis and Siegler, Reference Ellis, Siegler and Sternberg1994). The imbalance of specific brain regions’ maturation peaks during adolescence may contribute to mood instability and greater emotional reactivity in this age group (McRae et al., Reference McRae, Misra, Prasad, Pereira and Gross2012). Specifically, the limbic and reward systems mature earlier than areas responsible for higher cognitive functions, which causes heightened emotional sensitivity (Konrad et al., Reference Konrad, Firk and Uhlhaas2013).

Adolescents around 12–14 years old experience the peak of amygdala volumes (Goddings et al., Reference Goddings, Mills, Clasen, Giedd, Viner and Blakemore2014). As a result, they become more independent and often challenge, belittle, or ignore adult authority as they gain autonomy (Renk et al., Reference Renk, Liljequist, Simpson and Phares2005). Emotional independence is one of the core developmental tasks of 12–18-year-old adolescents (WHO, 2021). They can grow fully aware of their own emotions, understand emotions expressed by other people, express their feelings, and self-regulate appropriate emotional responses (Harold and Hay, Reference Harold and Hay2005). Rapid growth within brain regions leads to increased white matter, which is essential for impulse conduction and inhibition, and for learning high cognitive functions (Sowell et al., Reference Sowell, Thompson, Holmes, Batth, Jernigan and Toga1999; Crone et al., Reference Crone, Ridderinkhof, Worm, Somsen and Van der Molen2004), which sets the foundation for strategic thinking. Due to the vast changes brought on by puberty, by 13–14 years old, adolescents are on their way to establishing their own identities, are more self-aware and self-reflective than prepubescent children as they develop mental flexibility, and develop the capacity for multidimensionality (e.g., switching back and forth between multiple tasks).

Adolescence is characterized by immature PFC activities and enhanced responses in subcortical neural systems, which are important for emotional responses; this can lead to an immature capacity for affective regulation and self-control (Hare et al., Reference Hare, Tottenham, Galvan, Voss, Glover and Casey2008). Around 15-years-old, adolescents begin to understand and analyze the causes and effects of emotions (WHO, 2021), and are much more effectively able to regulate their emotions in comparison with 12–13-year-olds (Theurel and Gentaz, Reference Theurel and Gentaz2018). Adolescents from 15 to 17 years old have an advanced cognitive ability due to a decline in gray matter density related to synaptic pruning (Selemon, Reference Selemon2013), so they can think abstractly, multidimensionally, intentionally, and hypothetically. Additionally, 15–17-year-olds understand relationships and associated expectations as well as their roles in society (Gutgesell and Payne, Reference Gutgesell and Payne2004). From the age of 16, self-esteem increases, which carries to middle adulthood (Orth and Robins, Reference Orth and Robins2014) where identity is also more fully formed, specifically self-expression, personal views, and opinions (Waterman, Reference Waterman1982; Koepke and Denissen, Reference Koepke and Denissen2012).

The reorganization of cortical circuits in adolescence is reflected in the changes in cognitive functions and affect regulation (Casey et al., Reference Casey, Getz and Galvan2008). From 13 to 17 years old, adolescents strive for maximal independence, and highly value their peers’ opinions (Lawler and Nixon, Reference Lawler and Nixon2011). They are generally motivated by short-term benefits leading to more risky behavior than tendencies of risk avoidance, as those benefits (e.g., social approval) are perceived greater than the risk itself (Romer, Reference Romer2003). The seeking of more extreme incentives is in part understood as a compensation mechanism for low recruitment of motivational brain circuitry (Bjork et al., Reference Bjork, Knutson, Fong, Caggiano, Bennett and Hommer2004). From ages 13 to 16, risky decisions are increased in the presence of peers (Gardner and Steinberg, Reference Gardner and Steinberg2005; Galvan et al., Reference Galvan, Hare, Voss, Glover and Casey2007), and sensitivity and perception of negative emotions are heightened (Thomas et al., Reference Thomas, De Bellis, Graham and LaBar2007). During the ages of 13–15, adolescents gain regulation effectiveness as they shift toward a reappraisal strategy and away from, for example, distraction (Theurel and Gentaz, Reference Theurel and Gentaz2018). For older adolescents aged 17+, social connectedness and peer support can drive health-promoting behaviors (Roach, Reference Roach2018).

Evidence-based and theory-driven content for child and adolescent mental health literacy interventions

Effective MHL interventions are often described as one or a couple of the components of MHL, touching on topics relating to information on mental health disorders in general or specific mental illnesses such as depression or anxiety, and where students learned how to access help and gained understandings of the lived experiences of peers with mental health problems (Mohammadi et al., Reference Mohammadi, Panahi, Sayarifard and Ashouri2020; Seedaket et al., Reference Seedaket, Turnbull, Phajan and Wanchai2020; Freţian et al., Reference Freţian, Graf, Kirchhoff, Glinphratum, Bollweg, Sauzet and Bauer2021; Olyani et al., Reference Olyani, Gholian Aval, Tehrani and Mahdiadeh2021; Patafio et al., Reference Patafio, Miller, Baldwin, Taylor and Hyder2021). This section provides a brief overview of effective interventions respective to each of the four components of MHL.

There are several types of interventions focusing on the first component of MHL (understanding how to obtain and maintain good mental health). A review of mental health promotion identified five fundamental strategies, including socioemotional learning (SEL), interventions rooted in positive psychology, literacy-based intervention, mindfulness-based interventions, and interventions from the field of positive youth development (Santre, Reference Santre2022). SEL interventions teaching emotional processes, social and interpersonal skills, and cognitive regulation are widely implemented and aim to build self-awareness, self-management, social awareness, relationship skills, and responsible decision-making, all of which set the groundwork for promoting mental health (Durlak et al., Reference Durlak, Weissberg, Dymnicki, Taylor and Schellinger2011; CASEL, 2013; CASEL, 2015). Positive Youth Development programs that are focused on increasing a sense of purpose, leadership skills, and self-esteem as well as Positive Psychology Interventions that target strengthening positive emotions through daily routines have also proved effective (Clarke et al., Reference Clarke, Sorgenfrei, Mulcahy, Davie, Friedrich and McBadride2021). Finally, mindfulness interventions such as meditation, breath awareness, or yoga practices in which participants can consciously connect with their emotions and feelings are most frequently implemented in school settings mostly at the high school level with adolescents (Zenner et al., Reference Zenner, Herrnleben Kurz and Walach2014; Clarke et al., Reference Clarke, Sorgenfrei, Mulcahy, Davie, Friedrich and McBadride2021).

Interventions focusing on the second component of MHL (understanding mental disorders and their treatment) can be divided between general and diagnosis-specific interventions. General interventions cover several mental health disorders in general and are not targeted at any specific mental illness, whereas diagnosis-specific interventions focus on one mental health disorder and can be focused on children and adolescents at risk of developing the specified mental health disorder (Corrieri et al., Reference Corrieri, Heider, Conrad, Blume, König and Riedel-Heller2014). Fazel et al. (Reference Fazel, Hoagwood, Stephan and Ford2014) report on a more complex tiered approach where schools provide universal strategies for all students, followed by interventions to assist selected students at risk, gradually followed by specific treatment interventions for those with greater needs. Diagnosis-specific interventions are most frequently reported within the context of low-intensity interventions such as cognitive behavioral therapy, which are then tailored to be delivered to a given target audience with a specific mental illness diagnosis (Neil and Christensen, Reference Neil and Christensen2009; Werner Seidler et al., Reference Werner Seidler, Perry, Calear, Newby and Christensen2017). Most of such interventions are aimed at older children and adolescents to function as prevention for children and adolescents at risk, usually to reach people with emerging symptoms of depression or anxiety but may also include prevention of risk factors and risk behavior such as substance misuse (Fazel et al., Reference Fazel, Hoagwood, Stephan and Ford2014). Understanding mental disorders and their treatments for young children should consider their concrete thinking, and therefore refrain from introducing any complex or nuanced concepts related to mental illness. As children move toward developmental milestones associated with puberty and more abstract thought processes and emotional regulation skills, they become equipped to learn about complex concepts and types of illnesses and associated causes and treatments.

Stigma reduction interventions are most frequently performed in school settings via education-based approaches such as interactive lectures and social contact with a person with lived experience (Hartog et al., Reference Hartog, Hubbard, Krouwer, Thornicroft, Kohrt and Jordans2020). Most interventions targeting stigma have been delivered to older adolescents, and the interventions are often adapted from evidence-based content and approaches for adults rather than being catered to children and adolescents specifically (Heary et al., Reference Heary, Hennessy, Swords and Corrigan2017). Stigma interventions targeting childhood and early adolescence are uncommon, or in cases where children are the focus, the target content and audience focused on the general population and public stigma rather than stigma in children themselves (Hartog et al., Reference Hartog, Hubbard, Krouwer, Thornicroft, Kohrt and Jordans2020). Decreasing stigma toward mental illness requires a range of skills including active listening and empathy, which grow in children over time through practice. Exposure to inclusive environments and practicing these foundational competencies in early years will contribute to normalizing the range of experiences of mental health and mental illness and the recovery process and demystifying misconceptions contributing to stigma.

The final component of MHL (enhancing help-seeking efficacy) is frequently geared toward adults in the lives of children and adolescents rather than children and adolescents themselves (Xu et al., Reference Xu, Huang, Koesters, Staiger, Becker, Thornicroft and Ruesch2018). While there is some understanding of help-seeking facilitators and barriers for children and adolescents, help-seeking efficacy is complex, and the impact of MHL interventions on actual help-seeking is not well understood. Most of the literature links help-seeking with intention rather than actual behavior due to its difficulty to capture via measurement tools (Kelly et al., Reference Kelly, Jorm and Wright2007; Gulliver et al., Reference Gulliver, Griffiths and Christensen2010; Ratnayake and Hyde, Reference Ratnayake and Hyde2019). Since emotional regulation is one of the facilitators of help-seeking (Rickwood et al., Reference Rickwood, Deane, Wilson and Ciarrochi2005), and stigma is a well-known barrier (Gulliver et al., Reference Gulliver, Griffiths and Christensen2010), the first three components of MHL undoubtedly contribute to improving help-seeking efficacy. Help-seeking is related to developmental processes, and different sources of help are preferred and utilized across childhood and adolescence. When young people do seek help, they are likely to do so from people whom they know and trust, such as their friends or family (Rickwood et al., Reference Rickwood, Deane, Wilson and Ciarrochi2005; Kelly et al., Reference Kelly, Jorm and Wright2007; Gulliver et al., Reference Gulliver, Griffiths and Christensen2010). However, to engage in appropriate help-seeking behaviors, adolescents must first be able to recognize the problem, acknowledge their need for help, and have positive attitudes toward help-seeking and treatment (Gulliver et al., Reference Gulliver, Griffiths and Christensen2010; Skre et al., Reference Skre, Friborg, Breivik, Johnsen, Arnesen and Wang2013). As children approach the age of 9, they become more selective with whom they reach out to for help (Zimmer Gembeck and Skinner, Reference Zimmer Gembeck and Skinner2011). Bale et al. (Reference Bale, Grové and Costello2020) suggest that simply knowing whom to seek help from is not enough to support help-seeking behaviors, and young people will benefit from learning about articulating their problems to trusted adults.

Implications of developmental milestones on the capacity of children and adolescents to build mental health literacy

Comprehensive MHL covering all four components is lacking especially for young children (Kutcher and Wei, Reference Kutcher and Wei2020). However, children are already developing core skills and knowledge early on which contribute to their mental well-being over the life course and are capable of learning aspects across the four components of MHL. The neurological, psychological cognitive, and social developmental milestones have direct implications on the capacities necessary for building MHL. This section synthesizes and links the aforementioned milestones with developmentally appropriate knowledge and competencies respective to the capacity for understanding and applying knowledge and skills related to building positive MHL, understanding mental illnesses and their treatments, reducing stigma, and enhancing help-seeking according to three age clusters: 5–9-year-olds, 10–14-year-olds, and 15–19-year-olds. In relation to the developmental milestones reviewed above, Figure 1 maps key milestones that are essential for building MHL (see ‘Developmental milestones relevant for MHL’ in Figure 1). Taking into consideration the state of evidence for child and adolescent MHL interventions and drawing from the theoretical constructs of developmental milestones reviewed in the previous sections, in this section, we extrapolate developmentally appropriate content for MHL across school-aged children and adolescents. Figure 1 further synthesizes and presents developmentally appropriate content in the form of knowledge and competencies to be built over the course of childhood and adolescence following the developmental trajectory (see ‘Developmentally appropriate MHL content’ in Figure 1).

Figure 1. Developmentally appropriate mental health literacy content according to foundational milestones across childhood and adolescence.

Children from 5 to 9 years old move from a self-centered perspective as their capacity for self-awareness increases, and they slowly engage in basic perspective-taking (Selman, Reference Selman2003; Casey et al., Reference Casey, Getz and Galvan2008). MHL interventions with this age group could tap into the natural growing ability for building empathy as well as expanding self-awareness of emotional states (e.g., intensity or fluctuations of emotions across a few days). As children start to gain these basic skills for understanding and managing their emotions (Selman, Reference Selman2003; Westby and Robinson, Reference Westby and Robinson2014), they are capable of learning about a wide range of emotions including strong emotions, how they present in their bodies, and how they develop self-regulation basic problem-solving strategies. As primary caregivers of this age group are usually the ones with whom children communicate their needs, developmentally appropriate MHL for 5–9-year-olds should encourage children to express their needs, feelings, and mental health problems not only with primary caregivers, but also with other safe adults. Children should be taught to recognize safe and available sources of help as well as the importance of asking for help, and be modeled healthy communication, emotional regulation, and healthy relationships by the adults in their lives. Their ability to grasp and build upon the holistic concept of health including mental, physical, and social aspects as interrelated concepts becomes possible as they shift away from black-and-white thought processes.

Due to brain maturation, 10- to 14-year-olds experience a great shift from concrete to abstract thinking and mental flexibility, an improvement in information-processing skills, and the ability to retrieve the necessary information to solve new problems (Blakemore, Reference Blakemore2008; Meschke et al., Reference Meschke, Peter and Bartholomae2012). They become more able to acquire the ability to analyze and synthesize knowledge about themselves and their experiences, developing meta-cognition and reflective thinking. Engaging in novelty-seeking or risky behaviors is common; therefore, learning to recognize external factors affecting one’s mental health would enhance agency and responsibility as it pertains to mitigating risky behaviors related to mental health problems. With improved cognitive functions, 10–14-year-olds are able to understand the consequences of actions in a self-reflective manner, which is an optimal stage for raising awareness about brain development and its connection to mental health (e.g., the biology of emotions and stress response). Improvements at this stage are seen across emotional clarity and awareness, understanding of complex emotions in self and others, emotional regulation, and intentional self-reflection (Harold and Hay, Reference Harold and Hay2005; Zimmer Gembeck and Skinner, Reference Zimmer Gembeck and Skinner2011; McRae et al., Reference McRae, Misra, Prasad, Pereira and Gross2012; Konrad et al., Reference Konrad, Firk and Uhlhaas2013). Factual information about mental health influences and states can be taught at this age to support the development of self-compassion and understanding in youth. MHL interventions should tap into the growing ability to learn more complex emotional regulation and management, build empathy, and deepen self-awareness toward individual mental health status over time.

Youth aged 10–14 years are better in perspective-taking and begin to apply values, ethics, and ideology to behavior (WHO, 2021), which can be optimized in activities aimed at building empathy and diversity, acceptance in their interpersonal relationships, and intentional contact to others with diverse experiences (e.g., people with mental illness). As this age group develops more concrete thought, it is appropriate for them to build literacy surrounding basic prevalence rates for mental illness and etiology, and differences between the concept of mental health problems and mental illness. As youth develop a preference for peers as a primary social group as opposed to caregivers, tension can arise in relationships with primary caregivers (Renk et al., Reference Renk, Liljequist, Simpson and Phares2005). Building understanding and communication skills for relationships with peers and carers could help this age group to build and maintain healthy support networks. Since this age group is at increased risk for the onset of mental health problems, MHL interventions should prepare young adolescents for help-seeking across multiple sources available in respective contexts. While peer-to-peer support is increasingly preferred by growing adolescents, they are also more sensitive to social feedback and peer rejection (Somerville, Reference Somerville2013); therefore, equipping youth to appropriately respond to help-seeking from a peer is also optimal at this age since one negative experience could deter a peer from asking for help again. MHL interventions should teach safety related to help-giving for peers, and issues related to effective support-giving and dangers related to secrecy (e.g., active listening and not promising total confidentiality). Appropriate MHL interventions for this group can focus on establishing self-care strategies and healthy coping mechanisms (e.g., positive self-talk, relaxation strategies, principles of healthy communication, enjoyable activities, and supporting relationships) as well as recognizing broad signs and symptoms of mental health problems and specific help-seeking strategies. Knowledge about the different roles of mental health professionals and the principle of confidentiality within mental health care are important concepts to demystify and promote help-seeking at this age.

Late adolescents, aged from 15 to 19 years, have more mature executive functions (e.g., cognitive flexibility and abstract reasoning) that are necessary for the management of behavior (e.g., self-monitoring and self-control) (Sowell et al., Reference Sowell, Thompson, Holmes, Batth, Jernigan and Toga1999; Crone et al., Reference Crone, Ridderinkhof, Worm, Somsen and Van der Molen2004). Adolescents show a higher capacity for mentalizing (Poznyak et al., Reference Poznyak, Morosan, Perroud, Speranza, Badoud and Debbané2019), and more autonomy with a higher probability of increased risk-taking, but they are also better at divergent thinking (Cousijn et al., Reference Cousijn, Koolschijn, Zanolie, Kleibeuker and Crone2014) and exhibit goal-directed behavior and long-term plans for the future. Appropriate MHL interventions for this age, therefore, can focus on setting and maintaining short- and long-term strategies for mental health and supporting healthy habits and self-care. The maturation of the PFC is linked with a greater capacity for self-reflectiveness and self-regulation (Theurel and Gentaz, Reference Theurel and Gentaz2018). These changes, including increased emotional introspection, can create internal distress as young people tend to experience both negative and positive emotions at a heightened state. MHL intervention should focus on building knowledge and promoting self-awareness and self-compassion especially as it relates to brain development, common mental illnesses (such as depression or anxiety), different types of treatments available for mental health care, and the understanding of risk and protective factors for mental health across the life course. As adolescents build independence, gaining competencies for help-seeking is important, including the ability to recognize mental distress in oneself and others, appropriately communicate symptoms of mental distress with others, and crisis management skills (e.g., strategies for activation of the parasympathetic nervous system). Increased empathy and understanding toward unique emotional perspectives occur in later adolescence, which results in sensitivity toward others. Therefore, MHL interventions focused on raising awareness of different mental health problems requiring different types of help, and strategies for adolescent peer-to-peer help-giving can be appropriately understood and used for problem-solving as it is related to managing mental health self-care and help-seeking experiences. Communication skills of this age group are more advanced, and therefore it is appropriate to expect older adolescents to effectively learn and discuss self-advocacy as it related to MHL self-care and help-seeking and giving.

The developmental approach requires long-term strategies toward building blocks which build in sequence over the course of early to late childhood and into adolescence and adulthood. As such, the theoretical content mapped in this review assumes a life-course approach and commitment to building MHL based on developmental theory, and real-world applications must account for and address any deficits in either knowledge or competencies in the later stages if lacking at baseline. Therefore, it is important that the content mapped and presented in Figure 1 be considered only when embedded within understandings of local contexts and environments.

Global considerations for mental health literacy content across developmental stages

Global variation in development should be considered when interpreting and applying the content outlined in this review, as well as the evidence base on which implications are drawn. The majority of the global data on child and adolescent development come from high-income countries, and children and adolescents from low- and middle-income settings face developmental challenges at increased rates (Clark et al., Reference Clark, Coll-Seck, Banerjee, Peterson, Dalglish, Ameratunga, Balabanova, Bhan, Bhutta, Borrazzo, Claeson, Doherty, El-Jardali, George, Gichaga, Gram, Hipgrave, Kwamie, Meng, Mercer, Narain, Nsungwa-Sabiiti, Olumide, Osrin, Powell-Jackson, Rasanathan, Rasul, Reid, Requejo, Rohde, Rollins, Romedenne, Sachdev, Saleh, Shawar, Shiffman, Simon, Sly, Stenberg, Tomlinson, Ved and Costello2020). Additionally, developmental changes are unique, prompted by biological maturation, and mediated by environmental factors, and cultural and social contexts. Determinants of brain health, for example, include physical and environmental health, safety, and security, learning and social connection, and access to health and social services which vary widely within and across global contexts (WHO, 2022). The development of children and adolescents is multifaceted and is impacted by a wide range of variables spanning preconception across the life course including risk factors (e.g., maternal deprivation, neonatal and birth risks, effects of malnutrition such as stunting, child labor, exploitation and marriage, adolescent pregnancy and exposure to physical, sexual, and psychological violence and neglect) as well as protective factors (e.g., responsive and skilled pre and post-natal care of the mother, social and group support, immunizations, early childhood supportive interventions, school achievements and parity in education, sale learning environments, information, communication, and technology literacy and universal access to sexual and reproductive health) (Clark et al., Reference Clark, Coll-Seck, Banerjee, Peterson, Dalglish, Ameratunga, Balabanova, Bhan, Bhutta, Borrazzo, Claeson, Doherty, El-Jardali, George, Gichaga, Gram, Hipgrave, Kwamie, Meng, Mercer, Narain, Nsungwa-Sabiiti, Olumide, Osrin, Powell-Jackson, Rasanathan, Rasul, Reid, Requejo, Rohde, Rollins, Romedenne, Sachdev, Saleh, Shawar, Shiffman, Simon, Sly, Stenberg, Tomlinson, Ved and Costello2020).

MHL interventions should be developed and adapted within the context and specific needs of beneficiaries (Kutcher et al., Reference Kutcher, Wei and Coniglio2016). To that end, there are globally relevant considerations that have implications for MHL intervention across all age groups. Notable considerations include developmental variation across sexes, implementation fidelity, language and culture, and contextual and environmental factors. Sex should be considered and acknowledged when building MHL as milestones can vary slightly among females and males. The onset of puberty starts between the ages of 8 and 14 years in females and 9 and 17 years in males (Blakemore et al., Reference Blakemore, Burnett and Dahl2010), which has implications for the developmental milestones described above. Additionally, some risk factors for mental illness can vary according to sex (Steinhausen and Metzke, Reference Steinhausen and Metzke2001) as well as differences between onset and prevalence of mental illness between females and males (Merikangas et al., Reference Merikangas, Nakamura and Kessler2022). Development of skills related to positive mental health and help-seeking can also vary in children and adolescents. For example, females generally develop prosocial behaviors earlier than their male peers (Van der Graaff et al., Reference Van der Graaff, Carlo, Crocetti, Koot and Branje2018) and trends in stages of empathy development differ in males and females (Michalska et al., Reference Michalska, Kinzler and Decety2013).

In combination with the quality and developmental appropriateness of the content, the fidelity of the implementation of MHL interventions is of vital importance as outcomes of interventions can be drastically altered due to the degree to which the intervention is delivered as intended (Gearing et al., Reference Gearing, El-Bassel, Ghesquiere, Baldwin, Gillies and Ngeow2011). Receptivity to interventions is influenced by correct adaptation interventions to the characteristics of students (Rojas-Andrade and Bahamondes, Reference Rojas-Andrade and Bahamondes2019). In pursuit of high fidelity of MHL interventions, building the capacity of professionals delivering MHL to children and adolescents can be done effectively through training and support, for example, to teachers in school settings (Kutcher et al., Reference Kutcher, Bagnell and Wei2015a; Kutcher and Wei, Reference Kutcher and Wei2020).

Cultural and environmental contexts and the availability of mental health resources will have implications on understandings related to mental health and illness, stigma, and help-seeking preferences and pathways. Culture and language play an important role in MHL, impacting how people perceive, talk, and think about mental health and therefore how they experience interventions related to such topics (Quintana et al., Reference Quintana, Aboud, Chao, Contreras Grau, Cross, Hudley and Vietze2006). It is therefore important to identify local cultural or ethnic explanations and language around mental health and mental health symptoms to adapt and package content appropriately to ensure high-quality delivery and receptivity (Griner and Smith, Reference Griner and Smith2006). Especially important for increasing help-seeking efficacy through MHL is knowledge of local mental health service provision and pathways to care.

Conclusion

Building and expanding upon evidence-based practices from developmental theory, this overview provides a foundation of theory-driven developmentally appropriate MHL content for children and adolescents to be applied for further definition, application, and testing. There is much yet to learn, and further intervention design, implementation, and evaluation are underway and necessary to explore more emerging evidence within the field of MHL through the lens of development. Exploring the generalizability and universality of translating developmental research to practice will be a key step to better understanding active ingredients and key content for building MHL in children and adolescents moving forward. For MHL intervention development and implementation, understandings of local contexts and cultures, and relevant developmental determinants, risks, and protective factors, must be taken into consideration when adopting or adapting MHL content for interventions. Future research should test the specific developmental applications of MHL to diverse contexts including universal, selected, and targeted interventions, and explore the trajectories of knowledge and competencies over developmental stages. Continued research on MHL across diverse global settings, including regions with high stigma and low resources, will be important toward validating or challenging developmental aspects of MHL presented in this review.

Open peer review

To view the open peer review materials for this article, please visit http://doi.org/10.1017/gmh.2023.16.

Author contribution

A.K. initiated and supervised the review. All authors participated in designing the methodology, conducted the literature review, and contributed to writing and proofreading the draft. A.K. and L.J. critically revised the manuscript.

Financial support

This work was supported by MH CZ – DRO (National Institute of Mental Health – NIMH, Czech Republic, IN: 00023752) as well as by EEA and Norway Funds Project: SUPREME Strengthening Universal Prevention, Resources, and Evaluation of Mental Health in Education, funded via the grant ‘Monitoring a posilování duševního zdraví dětí a adolescent’ (Grant No. ZD-ZDOVA1-025). The funding bodies had no role whatsoever in the design of our program or study, methodology used, data collection, data analysis, data interpretation, or writing of this paper.

Competing interest

The authors declare none.

References

Ahmed, SP, Bittencourt-Hewitt, A and Sebastian, CL (2015) Neurocognitive bases of emotion regulation development in adolescence. Developmental Cognitive Neuroscience 15, 1125.CrossRefGoogle ScholarPubMed
Amado-Rodríguez, ID, Casañas, R, Mas-Expósito, L, Castellví, P, Roldan-Merino, JF, Casas, I, Lalucat-Jo, L and Fernández-San Martín, MI (2022) Effectiveness of mental health literacy programs in primary and secondary schools: A systematic review with meta-analysis. Children 9(4), 480.CrossRefGoogle ScholarPubMed
Bale, J, Grové, C and Costello, S (2020). Building a mental health literacy model and verbal scale for children: Results of a Delphi study. Children and Youth Services Review, 109, 104667. https://doi.org/10.1016/j.childyouth.2019.104667CrossRefGoogle Scholar
Best, JR and Miller, PH (2010) A developmental perspective on executive function. Child Development 81, 16411660.CrossRefGoogle ScholarPubMed
Bjork, JM, Knutson, B, Fong, GW, Caggiano, DM, Bennett, SM and Hommer, DW (2004) Incentive-elicited brain activation in adolescents: Similarities and differences from young adults. Journal of Neuroscience 24, 17931802.CrossRefGoogle ScholarPubMed
Blakemore, SJ (2008) The social brain in adolescence. Nature Reviews Neuroscience 9, 267277.CrossRefGoogle ScholarPubMed
Blakemore, SJ and Choudhury, S (2006) Development of the adolescent brain: Implications for executive function and social cognition. Journal of Child Psychology and Psychiatry 47, 296312.CrossRefGoogle ScholarPubMed
Blakemore, SJ, Burnett, S and Dahl, RE (2010). The role of puberty in the developing adolescent brain. Human Brain Mapping, 31(6), 926933. https://doi.org/10.1002/hbm.21052CrossRefGoogle ScholarPubMed
Blakemore, SJ and Robbins, TW (2012) Decision-making in the adolescent brain. Nature Neuroscience 15, 11841191.CrossRefGoogle ScholarPubMed
Bunge, SA and Wright, SB (2007) Neurodevelopmental changes in working memory and cognitive control. Current Opinion in Neurobiology 17, 243250.CrossRefGoogle ScholarPubMed
Caballero, A, Granberg, R and Tseng, KY (2016) Mechanisms contributing to prefrontal cortex maturation during adolescence. Neuroscience & Biobehavioral Reviews 70, 412.CrossRefGoogle ScholarPubMed
Casey, BJ, Getz, S and Galvan, A (2008) The adolescent brain. Developmental Review 28, 6277.CrossRefGoogle ScholarPubMed
Casey, BJ, Giedd, JN and Thomas, KM (2000) Structural and functional brain development and its relation to cognitive development. Biological Psychology 54, 241257.CrossRefGoogle ScholarPubMed
Casey, BJ and Jones, RM (2010) Neurobiology of the adolescent brain and behavior: Implications for substance use disorders. Journal of the American Academy of Child & Adolescent Psychiatry 49, 11891201.Google ScholarPubMed
Clark, H, Coll-Seck, AM, Banerjee, A, Peterson, S, Dalglish, SL, Ameratunga, S, Balabanova, D, Bhan, MK, Bhutta, ZA, Borrazzo, J, Claeson, M, Doherty, T, El-Jardali, F, George, AS, Gichaga, A, Gram, L, Hipgrave, DB, Kwamie, A, Meng, Q, Mercer, R, Narain, S, Nsungwa-Sabiiti, J, Olumide, AO, Osrin, D, Powell-Jackson, T, Rasanathan, K, Rasul, I, Reid, P, Requejo, J, Rohde, SS, Rollins, N, Romedenne, M, Sachdev, HS, Saleh, R, Shawar, YR, Shiffman, J, Simon, J, Sly, PD, Stenberg, K, Tomlinson, M, Ved, RR and Costello, A (2020) A future for the world’s children? A WHO–UNICEF lancet commission. The Lancet 395(10224), 605658.CrossRefGoogle ScholarPubMed
Clarke, A, Sorgenfrei, M, Mulcahy, J, Davie, P, Friedrich, C and McBadride, T (2021) Adolescent mental health: A systematic review on the effectiveness of school-based interventions. Early Intervention Foundation, 127.Google Scholar
Collaborative for Academic, Social and Emotional Learning (2013) The 2013 CASEL guide: Effective social and emotional learning programs – preschool and elementary school edition. Chicago, IL.Google Scholar
Collaborative for Academic, Social and Emotional Learning (2015) The 2015 CASEL guide: Effective social and emotional learning programs – middle and high school edition. Chicago, IL.Google Scholar
Corrieri, S, Heider, D, Conrad, I, Blume, A, König, HH and Riedel-Heller, SG (2014) School-based prevention programs for depression and anxiety in adolescence: A systematic review. Health Promotion International 29, 427441.CrossRefGoogle ScholarPubMed
Cousijn, J, Koolschijn, PC, Zanolie, MP, Kleibeuker, SWK and Crone, EA (2014) The relation between gray matter morphology and divergent thinking in adolescents and young adults. PLoS One 9(12), e114619.CrossRefGoogle ScholarPubMed
Crone, EA (2009) Executive functions in adolescence: Inferences from brain and behavior. Developmental Science 12, 825830.CrossRefGoogle ScholarPubMed
Crone, EA, Ridderinkhof, KR, Worm, M, Somsen, RJM and Van der Molen, MW (2004) Switching between spatial stimulus–response mappings: A developmental study of cognitive flexibility. Developmental Science 7, 443455.CrossRefGoogle ScholarPubMed
Crone, EA, Wendelken, C, Donohue, S, van Leijenhorst, L and Bunge, SA (2006) Neurocognitive development of the ability to manipulate information in working memory. Proceedings of the National Academy of Sciences 103, 93159320.CrossRefGoogle ScholarPubMed
Dumontheil, I (2014) Development of abstract thinking during childhood and adolescence: The role of rostrolateral prefrontal cortex. Developmental Cognitive Neuroscience 10, 5776.CrossRefGoogle ScholarPubMed
Durlak, JA, Weissberg, RP, Dymnicki, AB, Taylor, RD and Schellinger, KB (2011) The impact of enhancing students’ social and emotional learning: A meta-analysis of school-based universal interventions. Child Development 82, 405432.CrossRefGoogle ScholarPubMed
Ellis, S and Siegler, RS (1994) Development of problem solving. In Sternberg, RJ (ed.), Thinking and Problem Solving. Cambridge, MA: Academic Press, pp. 333367.CrossRefGoogle Scholar
Fazel, M, Hoagwood, K, Stephan, S and Ford, T (2014) Mental health interventions in schools in high-income countries. The Lancet Psychiatry 1, 377387.CrossRefGoogle ScholarPubMed
Forsberg, A, Guitard, D, Adams, EJ, Pattanakul, D and Cowan, N (2021) Children’s long-term retention is directly constrained by their working memory capacity limitations. Developmental Science 25, e13164.Google ScholarPubMed
Freţian, AM, Graf, P, Kirchhoff, S, Glinphratum, G, Bollweg, TM, Sauzet, O and Bauer, U (2021) The long-term effectiveness of interventions addressing mental health literacy and stigma of mental illness in children and adolescents: Systematic review and meta-analysis. International Journal of Public Health 66, 604072.CrossRefGoogle ScholarPubMed
Galvan, A, Hare, T, Voss, H, Glover, G and Casey, BJ (2007) Risk-taking and the adolescent brain: Who is at risk? Developmental Science 10, F8F14.CrossRefGoogle ScholarPubMed
Gardner, M and Steinberg, L (2005) Peer influence on risk taking, risk preference, and risky decision making in adolescence and adulthood: An experimental study. Developmental Psychology 41, 625.CrossRefGoogle ScholarPubMed
Gearing, RE, El-Bassel, N, Ghesquiere, A, Baldwin, S, Gillies, J and Ngeow, E (2011) Major ingredients of fidelity: A review and scientific guide to improving quality of intervention research implementation. Clinical Psychology Review 31, 7988.CrossRefGoogle ScholarPubMed
Giedd, JN, Blumenthal, J, Jeffries, NO, Castellanos, FX, Liu, H, Zijdenbos, A and Rapoport, JL (1999) Brain development during childhood and adolescence: A longitudinal MRI study. Nature Neuroscience 2, 861863.CrossRefGoogle ScholarPubMed
Goddings, AL, Mills, KL, Clasen, LS, Giedd, JN, Viner, RM and Blakemore, SJ (2014) The influence of puberty on subcortical brain development. NeuroImage 88, 242251.CrossRefGoogle ScholarPubMed
Gogtay, N, Giedd, JN, Lusk, L, Hayashi, KM, Greenstein, D, Vaituzis, AC, Nugent, TF, Herman, DH, Clasen, LS, Toga, AW, Rapoport, JL and Thompson, PM (2004) Dynamic mapping of human cortical development during childhood through early adulthood. Proceedings of the National Academy of Sciences USA 101, 81748179.CrossRefGoogle ScholarPubMed
Griner, D and Smith, TB (2006) Culturally adapted mental health intervention: A meta-analytic review. Psychotherapy: Theory, Research, Practice, Training 43, 531.CrossRefGoogle ScholarPubMed
Gulliver, A, Griffiths, KM and Christensen, H (2010) Perceived barriers and facilitators to mental health help-seeking in young people: A systematic review. BMC Psychiatry 10, 19.CrossRefGoogle ScholarPubMed
Gutgesell, ME and Payne, N (2004) Issues of adolescent psychological development in the 21st century. Pediatrics in Review 25, 7985.CrossRefGoogle ScholarPubMed
Hare, TA, Tottenham, N, Galvan, A, Voss, HU, Glover, GH and Casey, BJ (2008) Biological substrates of emotional reactivity and regulation in adolescence during an emotional go-nogo task. Biological Psychiatry 63, 927934.CrossRefGoogle ScholarPubMed
Harold, GT and Hay, DF (2005) Normal development in middle childhood. Psychiatry 4, 35.CrossRefGoogle Scholar
Hartog, K, Hubbard, CD, Krouwer, AF, Thornicroft, G, Kohrt, BA and Jordans, MJD (2020) Stigma reduction interventions for children and adolescents in low- and middle-income countries: Systematic review of intervention strategies. Social Science & Medicine 246, 112749.CrossRefGoogle ScholarPubMed
Heary, C, Hennessy, E, Swords, L and Corrigan, P (2017) Stigma towards mental health problems during childhood and adolescence: Theory, research and intervention approaches. Journal of Child and Family Studies 26, 29492959.CrossRefGoogle Scholar
Huttenlocher, PR and Dabholkar, AS (1997) Regional differences in synaptogenesis in human cerebral cortex. Journal of Comparative Neurology 387, 167178.3.0.CO;2-Z>CrossRefGoogle ScholarPubMed
Insel, C, Kastman, EK, Glenn, CR and Somerville, LH (2017) Development of corticostriatal connectivity constrains goal-directed behavior during adolescence. Nature Communications 8, 110.CrossRefGoogle ScholarPubMed
Jorm, AF, Korten, AE, Jacomb, PA, Christensen, H, Rodgers, B and Pollitt, P (1997) Mental health literacy: A survey of the public’s ability to recognise mental disorders and their beliefs about the effectiveness of treatment. Medical Journal of Australia 166, 182186.CrossRefGoogle ScholarPubMed
Kelly, CM, Jorm, AF and Wright, A (2007) Improving mental health literacy as a strategy to facilitate early intervention for mental disorders. Medical Journal of Australia 187, S26S30.CrossRefGoogle ScholarPubMed
Kessler, RC, Amminger, GP, Aguilar Gaxiola, S, Alonso, J, Lee, S and Ustun, TB (2007) Age of onset of mental disorders: A review of recent literature. Current Opinion in Psychiatry 20, 359.CrossRefGoogle ScholarPubMed
Kieling, C, Baker Henningham, H, Belfer, M, Conti, G, Ertem, I, Omigbodun, O and Rahman, A (2011) Child and adolescent mental health worldwide: Evidence for action. The Lancet 378, 15151525.CrossRefGoogle ScholarPubMed
Kleitman, S, Stankov, L, Allwood, CM, Young, S and Mak, KKL (2012) Metacognitive self-confidence in school-aged children. In Ching Mok, MM (ed.), Self-Directed Learning Oriented Assessments in the Asia-Pacific. Dordrecht: Springer, pp. 139153.CrossRefGoogle Scholar
Koepke, S and Denissen, JJ (2012) Dynamics of identity development and separation–individuation in parent–child relationships during adolescence and emerging adulthood: A conceptual integration. Developmental Review 32, 6788.CrossRefGoogle Scholar
Konrad, K, Firk, C and Uhlhaas, PJ (2013) Brain development during adolescence: Neuroscientific insights into this developmental period. Deutsches Ärzteblatt International 110, 425.Google ScholarPubMed
Kutcher, S, Bagnell, A and Wei, Y (2015a) Mental health literacy in secondary schools: A Canadian approach. Child and Adolescent Psychiatric Clinics 24, 233244.CrossRefGoogle ScholarPubMed
Kutcher, S and Wei, Y (2020) School mental health: A necessary component of youth mental health policy and plans. World Psychiatry 19, 174175.CrossRefGoogle ScholarPubMed
Kutcher, S, Wei, Y and Coniglio, C (2016) Mental health literacy: Past, present, and future. The Canadian Journal of Psychiatry 61, 154158.CrossRefGoogle ScholarPubMed
Lawler, M and Nixon, E (2011) Body dissatisfaction among adolescent boys and girls: The effects of body mass, peer appearance culture and internalization of appearance ideals. Journal of Youth and Adolescence 40, 5971.CrossRefGoogle ScholarPubMed
Lo, K, Gupta, T and Keating, JL (2018) Interventions to promote mental health literacy in university students and their clinical educators. A systematic review of randomised control trials. Health Professions Education 4, 161175.CrossRefGoogle Scholar
Luna, B, Garver, KE, Urban, TA, Lazar, NA and Sweeney, JA (2004) Maturation of cognitive processes from late childhood to adulthood. Child Development 75, 13571372.CrossRefGoogle ScholarPubMed
Mansfield, R, Humphrey, N, Patalay, P, Moore, A and Stapley, E (2021) Adaptation of a school-based mental health literacy curriculum: From Canadian to English classrooms. Global Mental Health 8, e39.CrossRefGoogle ScholarPubMed
Martin, RE and Ochsner, KN (2016) The neuroscience of emotion regulation development: Implications for education. Current Opinion in Behavioral Sciences 10, 142148.CrossRefGoogle ScholarPubMed
Martin, J and Sokol, B (2011) Generalized others and imaginary audiences: A neo-Meadian approach to adolescent egocentrism. New Ideas in Psychology 29, 364375.CrossRefGoogle Scholar
Mcluckie, A, Kutcher, S, Wei, Y and Weaver, C (2014) Sustained improvements in students’ mental health literacy with use of a mental health curriculum in Canadian schools. BMC Psychiatry 14, 16.CrossRefGoogle ScholarPubMed
McRae, K, Misra, S, Prasad, AK, Pereira, SC and Gross, JJ (2012) Bottom-up and top-down emotion generation: Implications for emotion regulation. Social Cognitive and Affective Neuroscience 7(3), 253262. https://doi.org/10.1093/scan/nsq103CrossRefGoogle ScholarPubMed
Merikangas, KR, He, JP, Burstein, M, Swanson, SA, Avenevoli, S, Cui, L and Swendsen, J (2010) Lifetime prevalence of mental disorders in US adolescents: Results from the National Comorbidity Survey Replication–Adolescent Supplement (NCS-A). Journal of the American Academy of Child & Adolescent Psychiatry 49, 980989.CrossRefGoogle ScholarPubMed
Merikangas, KR, Nakamura, EF and Kessler, RC (2022) Epidemiology of mental disorders in children and adolescents. Dialogues in Clinical Neuroscience 11, 720.CrossRefGoogle Scholar
Meschke, LL, Peter, CR and Bartholomae, S (2012) Developmentally appropriate practice to promote healthy adolescent development: Integrating research and practice. Child & Youth Care Forum 41, 89108.CrossRefGoogle Scholar
Michalska, KJ, Kinzler, KD and Decety, J (2013) Age-related sex differences in explicit measures of empathy do not predict brain responses across childhood and adolescence. Developmental Cognitive Neuroscience 3, 2232.CrossRefGoogle Scholar
Milin, R, Kutcher, S, Lewis, SP, Walker, S, Wei, Y, Ferrill, N and Armstrong, MA (2016) Impact of a mental health curriculum on knowledge and stigma among high school students: A randomized controlled trial. Journal of the American Academy of Child & Adolescent Psychiatry 55, 383391.CrossRefGoogle ScholarPubMed
Mohammadi, AS, Panahi, S, Sayarifard, A and Ashouri, A (2020) Identifying the prerequisites, facilitators, and barriers in improving adolescents’ mental health literacy interventions: A systematic review. Journal of Education and Health Promotion 9, 322.Google ScholarPubMed
Mumbauer Pisano, J and Barden, SM (2020) Examining a mental health literacy intervention among economically disadvantaged youth. Journal of Mental Health Counseling 42, 339355.CrossRefGoogle Scholar
Napolitano, CM, Sewell, MN, Yoon, HJ, Soto, CJ and Roberts, BW (2021) Social, emotional, and behavioral skills: An integrative model of the skills associated with success during adolescence and across the life span. Frontiers in Education 6, 679561.CrossRefGoogle Scholar
Neil, AL and Christensen, H (2009) Efficacy and effectiveness of school-based prevention and early intervention programs for anxiety. Clinical Psychology Review 29, 208215.CrossRefGoogle ScholarPubMed
Ochsner, KN (2004) Current directions in social cognitive neuroscience. Current Opinion in Neurobiology 14, 254258.CrossRefGoogle ScholarPubMed
Ochsner, KN and Gross, JJ (2008) Cognitive emotion regulation: Insights from social cognitive and affective neuroscience. Current Directions in Psychological Science 17, 153158.CrossRefGoogle ScholarPubMed
Olyani, S, Gholian Aval, M, Tehrani, H and Mahdiadeh, M (2021) School-based mental health literacy educational interventions in adolescents: A systematic review. Journal of Health Literacy 6, 6977.Google Scholar
Orth, U and Robins, RW (2014) The development of self-esteem. Current Directions in Psychological Science 23, 381387.CrossRefGoogle Scholar
Patafio, B, Miller, P, Baldwin, R, Taylor, N and Hyder, S (2021) A systematic mapping review of interventions to improve adolescent mental health literacy, attitudes and behaviours. Early Intervention in Psychiatry 15, 14701501.CrossRefGoogle ScholarPubMed
Patel, V, Flisher, AJ, Hetrick, S and McGorry, P (2007) Mental health of young people: A global public-health challenge. The Lancet 369, 13021313.CrossRefGoogle ScholarPubMed
Poznyak, E, Morosan, L, Perroud, N, Speranza, M, Badoud, D and Debbané, M (2019) Roles of age, gender and psychological difficulties in adolescent mentalizing. Journal of Adolescence 74, 120129.CrossRefGoogle ScholarPubMed
Quintana, SM, Aboud, FE, Chao, RK, Contreras Grau, J, Cross, WE, Hudley, C and Vietze, DL (2006) Race, ethnicity, and culture in child development: Contemporary research and future directions. Child Development 77, 11291141.CrossRefGoogle ScholarPubMed
Ratnayake, P and Hyde, C (2019) Mental health literacy, help-seeking behaviour and wellbeing in young people: Implications for practice. Educational and Developmental Psychologist 36(1), 1621.CrossRefGoogle Scholar
Renk, K, Liljequist, L, Simpson, JE and Phares, V (2005) Gender and age differences in the topics of parent–adolescent conflict. Family Journal 13, 139149.CrossRefGoogle Scholar
Renwick, L, Pedley, R, Johnson, I, Bell, V, Lovell, K, Bee, P and Brooks, H (2022) Conceptualisations of positive mental health and wellbeing among children and adolescents in low-and middle-income countries: A systematic review and narrative synthesis. Health Expectations 25(1), 6179.CrossRefGoogle ScholarPubMed
Rickwood, D, Deane, FP, Wilson, CJ and Ciarrochi, J (2005) Young people’s help-seeking for mental health problems. Australian e-journal for the Advancement of Mental health 4, 218251.CrossRefGoogle Scholar
Roach, A (2018) Supportive peer relationships and mental health in adolescence: An integrative review. Issues in Mental Health Nursing 39, 723737.CrossRefGoogle ScholarPubMed
Rojas-Andrade, R and Bahamondes, LL (2019) Is implementation fidelity important? A systematic review on school-based mental health programs. Contemporary School Psychology 23, 339350.CrossRefGoogle Scholar
Romer, D (2003) Reducing Adolescent Risk: Toward an Integrated Approach. Thousand Oaks, CA: Sage.CrossRefGoogle Scholar
Rougeaux, E, Hope, S, Viner, RM, Deighton, J, Law, C and Pearce, A (2020) Is mental health competence in childhood associated with health risk behaviors in adolescence? Findings from the UK millennium cohort study. Journal of Adolescent Health 67, 677684.CrossRefGoogle ScholarPubMed
Santre, S (2022) Mental Health Promotion in Adolescents. Journal of Indian Association for Child and Adolescent Mental Health 18, 122127.CrossRefGoogle Scholar
Seedaket, S, Turnbull, N, Phajan, T and Wanchai, A (2020) Improving mental health literacy in adolescents: Systematic review of supporting intervention studies. Tropical Medicine & International Health 25, 10551064.CrossRefGoogle ScholarPubMed
Selemon, L (2013) A role for synaptic plasticity in the adolescent development of executive function. Translational Psychiatry 3, e238.CrossRefGoogle ScholarPubMed
Selman, RL (2003) Promotion of Social Awareness: Powerful Lessons for the Partnership of Developmental Theory and. New York: Russell Sage Foundation.Google Scholar
Shaw, SM, Caldwell, LL and Kleiber, DA (1996) Boredom, stress and social control in the daily activities of adolescents. Journal of Leisure Research 28, 274292.CrossRefGoogle Scholar
Skre, I, Friborg, O, Breivik, C, Johnsen, LI, Arnesen, Y and Wang, CEA (2013). A school intervention for mental health literacy in adolescents: effects of a non-randomized cluster controlled trial. BMC Public Health, 13(1). https://doi.org/10.1186/1471-2458-13-873CrossRefGoogle ScholarPubMed
Smith, L (1987) Developmental theory in the classroom. Instructional Science 16, 151167.CrossRefGoogle Scholar
Solmi, M, Radua, J, Olivola, M, Croce, E, Soardo, L, Salazar de Pablo, G and Fusar Poli, P (2022) Age at onset of mental disorders worldwide: Large-scale meta-analysis of 192 epidemiological studies. Molecular Psychiatry 27, 281295.CrossRefGoogle ScholarPubMed
Somerville, LH (2013) The teenage brain: Sensitivity to social evaluation. Current Directions in Psychological Science 22(2), 121127.CrossRefGoogle ScholarPubMed
Somerville, LH (2016) Searching for signatures of brain maturity: What are we searching for? Neuron 92, 11641167.CrossRefGoogle ScholarPubMed
Somerville, LH and Casey, BJ (2010) Developmental neurobiology of cognitive control and motivational systems. Current Opinion in Neurobiology 20, 236241.CrossRefGoogle ScholarPubMed
Sowell, ER, Thompson, PM, Holmes, CJ, Batth, R, Jernigan, TL and Toga, AW (1999) Localizing age-related changes in brain structure between childhood and adolescence using statistical parametric mapping. NeuroImage 9, 587597.CrossRefGoogle ScholarPubMed
Sowell, ER, Thompson, PM, Tessner, KD and Toga, AW (2001) Mapping continued brain growth and gray matter density reduction in dorsal frontal cortex: Inverse relationships during postadolescent brain maturation. Journal of Neuroscience 21, 88198829.CrossRefGoogle ScholarPubMed
Sowell, ER, Trauner, DA, Gamst, A and Jernigan, TL (2002) Development of cortical and subcortical brain structures in childhood and adolescence: A structural MRI study. Developmental Medicine and Child Neurology 44, 416.CrossRefGoogle ScholarPubMed
Steinberg, L (2005) Cognitive and affective development in adolescence. Trends in Cognitive Sciences 9, 6974.CrossRefGoogle ScholarPubMed
Steinberg, L (2010) A dual systems model of adolescent risk-taking. Developmental Psychobiology: The Journal of the International Society for Developmental Psychobiology 52, 216224.Google ScholarPubMed
Steinhausen, HC and Metzke, CW (2001) Risk, compensatory, vulnerability, and protective factors influencing mental health in adolescence. Journal of Youth and Adolescence 30, 259280.CrossRefGoogle Scholar
Sturman, DA and Moghaddam, B (2011) The neurobiology of adolescence: Changes in brain architecture, functional dynamics, and behavioral tendencies. Neuroscience & Biobehavioral Reviews 35, 17041712.CrossRefGoogle ScholarPubMed
Such, E and Walker, R (2004) Being responsible and responsible beings: Children’s understanding of responsibility. Children & Society 18, 231242.CrossRefGoogle Scholar
Theurel, A and Gentaz, E (2018) The regulation of emotions in adolescents: Age differences and emotion-specific patterns. PLoS One 13, e0195501.CrossRefGoogle ScholarPubMed
Thomas, LA, De Bellis, MD, Graham, R and LaBar, KS (2007) Development of emotional facial recognition in late childhood and adolescence. Developmental Science 10, 547558.CrossRefGoogle ScholarPubMed
Van der Graaff, J, Carlo, G, Crocetti, E, Koot, HM and Branje, S (2018) Prosocial behavior in adolescence: Gender differences in development and links with empathy. Journal of Youth and Adolescence 47, 10861099.CrossRefGoogle ScholarPubMed
Vigo, D, Thornicroft, G and Atun, R (2016) Estimating the true global burden of mental illness. Lancet Psychiatry 3, 171178.CrossRefGoogle ScholarPubMed
Vijayakumar, N, de Macks, ZO, Shirtcliff, EA and Pfeifer, JH (2018) Puberty and the human brain: Insights into adolescent development. Neuroscience & Biobehavioral Reviews 92, 417436.CrossRefGoogle ScholarPubMed
Waterman, AS (1982) Identity development from adolescence to adulthood: An extension of theory and a review of research. Developmental Psychology 18, 341.CrossRefGoogle Scholar
Wei, Y, McGrath, PJ, Hayden, J, and Kutcher, S (2015). Mental health literacy measures evaluating knowledge, attitudes and help-seeking: a scoping review. BMC Psychiatry, 15(1). https://doi.org/10.1186/s12888-015-0681-9CrossRefGoogle ScholarPubMed
Weinstein, SM, Mermelstein, RJ, Hankin, BL, Hedeker, D and Flay, BR (2007) Longitudinal patterns of daily affect and global mood during adolescence. Journal of Research on Adolescence 17, 587600.CrossRefGoogle ScholarPubMed
Werner Seidler, A, Perry, Y, Calear, AL, Newby, JM and Christensen, H (2017) School-based depression and anxiety prevention programs for young people: A systematic review and meta-analysis. Clinical Psychology Review 51, 3047.CrossRefGoogle ScholarPubMed
Westby, C and Robinson, L (2014) A developmental perspective for promoting theory of mind. Topics in Language Disorders 34, 362382.CrossRefGoogle Scholar
World Health Organization (2021) Mental Health in Schools: A Manual. WHO. Available at https://apps.who.int/iris/handle/10665/347512.Google Scholar
World Health Organization (2022) Optimizing Brain Health across the Life Course: WHO position paper. Geneva: World Health Organization.Google Scholar
World Health Organization (WHO) and the United Nations Children’s Fund (UNICEF) (2021) Helping Adolescents Thrive Toolkit: Strategies to Promote and Protect Adolescent Mental Health and Reduce Self-Harm and Other Risk Behaviours. Geneva: WHO and UNICEF.Google Scholar
World Health Organization (WHO) Regional Office for the Eastern Mediterranean (2021) Mental Health in Schools: A Manual. Cairo: WHO Regional Office for the Eastern Mediterranean. Available at https://apps.who.int/iris/handle/10665/347512.Google Scholar
Xu, Z, Huang, F, Koesters, M, Staiger, T, Becker, T, Thornicroft, G and Ruesch, N (2018) Effectiveness of interventions to promote help-seeking for mental health problems: Systematic review and meta-analysis. Psychological Medicine 48(16), 26582667.CrossRefGoogle ScholarPubMed
Yurgelun-Todd, D (2007) Emotional and cognitive changes during adolescence. Current Opinion in Neurobiology 17, 251257.CrossRefGoogle ScholarPubMed
Zenner, C, Herrnleben Kurz, S and Walach, H (2014) Mindfulness-based interventions in schools – A systematic review and meta-analysis. Frontiers in Psychology 5, 603.CrossRefGoogle Scholar
Zimmer Gembeck, MJ and Skinner, EA (2011) The development of coping across childhood and adolescence: An integrative review and critique of research. International Journal of Behavioral Development 35, 117.CrossRefGoogle Scholar
Zondervan Zwijnenburg, MAJ, Richards, JS, Kevenaar, ST, Becht, AI, Hoijtink, HJA, Oldehinkel, AJ and Boomsma, DI (2020) Robust longitudinal multi-cohort results: The development of self-control during adolescence. Developmental Cognitive Neuroscience 45, 100817.CrossRefGoogle ScholarPubMed
Figure 0

Figure 1. Developmentally appropriate mental health literacy content according to foundational milestones across childhood and adolescence.

Author comment: Developmentally appropriate mental health literacy content for school-aged children and adolescents — R0/PR1

Comments

Dear Editors,

I am pleased to submit our original commissioned review entitled Developmentally appropriate mental health literacy content for school aged children and adolescents to the Cambridge Prisms: Global Mental Health.

We believe this review addresses the need for more developmental perspectives linking research to practice within the evidence base of mental health literacy interventions for children and adolescents. The study sheds light on the need for a life-course approach to building mental health literacy and calls for more systematic and comprehensive approaches to building mental health literacy over various developmental and life stages.

As mental health literacy grows in practice and research, this article provides a rich foundation for continued global engagement in bringing research to practices in the development and implementation of mental health literacy interventions for school-aged children.

Thank you for your time, and for considering this research article.

Sincerely,

Anna Kagstrom

Anna Kagstrom

Department of Public Mental Health,

National Institute of Mental Health, Czechia

Topolová 748

250 67 Klecany

Czechia,

anna.kagstrom@nudz.cz

Review: Developmentally appropriate mental health literacy content for school-aged children and adolescents — R0/PR2

Conflict of interest statement

Reviewer declares none.

Comments

Comments to Author: Thank you for the opportunity to review this manuscript. This paper seeks to provide a theoretical review of the developmental course of school aged children (from childhood to adolescence) to inform the development of universal MHL interventions for this target group. This is an interesting review with many practical applications to the development of population level MHL interventions, particularly for school aged children and young people. At the same time, some questions emerged as I read through the review. I hope the below comments are helpful to the authors, as I do believe this is an important and novel paper.

The discussion of developmental changes in childhood and adolescence was very interesting. This section could perhaps benefit from presenting information either by age group (e.g. starting with the developmental milestones in children and working through chronologically to adolescence) or by cognitive skill (e.g. arrange more clearly by topic – ‘emotional regulation’, ‘impulse control’, ‘social relationships’, ‘concrete vs abstract thinking’). At times I found it difficult to follow the threads of different changes that can occur throughout the early lifespan. Figure 1 is an excellent framework in the way it clearly sets out the overlapping but separate foundational milestones.

The section titled ‘Evidence based and theory driven content for child and adolescent mental health literacy interventions’, seemed to focus much more broadly on providing an overview of MHL interventions for school aged children, an area which, while of adjacent interest, has been covered before. Instead, the authors could consider focusing the discussion on the implications of these life course changes for MHL content development, which is one of the main novel contributions of this manuscript. This information is included beautifully in Figure 1 (under ‘Developmentally appropriate mental health literacy content’) and I felt the inclusion of this in the main manuscript would enhance its impact. For example, the discussion on the architecture underpinning the importance of peer relationships for young people has implications for how adolescents seek help and what sources they prefer to seek help from – which would imply that MHL interventions that encourage help-seeking may therefore need to be targeted at enhancing adolescents’ ability to support their peers (peer to peer support).

The global applications proposed by this review suggest that MHL interventions should pay attention to cultural contexts (such as local cultural/ethnic differences), potential developmental differences across sexes and fidelity of implementation. Whilst these are important considerations, are there other considerations that can be directly extrapolated from the conclusions you have made about developmentally appropriate content?

There are minor grammatical issues (for example, in the abstract, the sentence fragment “...especially to inform interventions for school-based interventions where equitable and sustainable interventions can be implemented.” has the word ‘intervention’ three times) that could be amended easily

Review: Developmentally appropriate mental health literacy content for school-aged children and adolescents — R0/PR3

Conflict of interest statement

Reviewer declares none.

Comments

Comments to Author: Thank you for the opportunity to review, “Developmentally appropriate mental health literacy content for school aged children and adolescents”. This theoretical review examines research with a focus on social developmental milestones of school-aged children relevant to building, as well as empirical and theoretical research for the development of MHL interventions for young people. This paper could make an important contribution to the literature through overviewing theoretical underpinnings of the developmental appropriateness of MHL interventions for young people. However, I have some concerns about the manuscript which I invite the authors to address.

In the introduction, the authors could expand more on definitions and conceptualisations of mental health literacy. For example, it may be helpful to provide the original definition of MHL provided by Jorm et al. (1997), given this is the most adopted in the field. More recent conceptualisations of MHL are more holistic in nature, and includes reduced stigma and help-seeking efficacy, as well as understanding how to obtain and maintain positive mental health (Kutcher et al. 2016), and it would be helpful to touch on how the concept of MHL has evolved. It currently feels as if definitions of MHL have been overlooked in the introduction, and a strong grounding in what exactly MHL is would strengthen the opening to the paper. Given that you refer to the “four components of MHL” throughout the paper, I think you need to be very clear that these are from Kutcher and colleagues. You introduce this on page 2 (“MHL includes understanding how to obtain and maintain good mental health, understanding mental disorders and their treatments, decreasing stigma related to mental disorders, and enhancing help-seeking efficacy…”) but it is not immediately clear as you progress through the paper, that these are the 4 components to which you are referring.

While the section, “Developmental milestones of school-aged children and adolescents” does a good job of summarising cognitive development, sections of it seem extraneous, and should be better linked to the goals of the review. Whilst it is helpful to highlight, for example, that the PFC reaches peak grey matter density later than the sensorimotor cortex, and therefore “children and adolescents face difficulties regulating emotions” how does this link to the success of MHL interventions? Whilst it is helpful to include summaries of development here, it may be kinder to the reader to be more selective about which milestones are summarised, and how they link to appropriateness of MHL interventions. You do this well in the beginning of the subsequent section (“Evidence based and theory driven content for child and adolescent mental health literacy interventions”).

I am concerned by your lack of methods section – It is important to have more transparency about your search techniques, how many records were returned, which were selected for inclusion in the review, and why. What were exclusion and inclusion criteria? I appreciate that the authors state that this is not a systematic review, but some detail about search methods is vital to include.

On page 7, the authors state, “While there is some understanding of help-seeking facilitators and barriers for children and adolescents, help-seeking efficacy is complex, and the impact of MHL interventions on actual help-seeking are not well understood.” There is a large degree of literature which links help-seeking intention (rather than actual behaviour), and this should be acknowledged. For example, Ratnayake & Hyde,2019; Gulliver et al., 2010; Kelly et al., 2007)

You do however, provide good a good summary of global considerations in the development and delivery of MHL content.

Recommendation: Developmentally appropriate mental health literacy content for school-aged children and adolescents — R0/PR4

Comments

No accompanying comment.

Decision: Developmentally appropriate mental health literacy content for school-aged children and adolescents — R0/PR5

Comments

No accompanying comment.

Decision: Developmentally appropriate mental health literacy content for school-aged children and adolescents — R0/PR6

Comments

No accompanying comment.

Author comment: Developmentally appropriate mental health literacy content for school-aged children and adolescents — R1/PR7

Comments

Dear Editors,

I am pleased to submit the revised version of our review entitled Developmentally appropriate mental health literacy content for school aged children and adolescents.

We are grateful for your valuable feedback and the comments we received from the Reviewers. We provided responses to each comment and updated the manuscript accordingly. In addition, we made some grammatical and editing improvements throughout the manuscript.

Thank you for reconsidering this article for publishing.

Yours sincerely,

Anna Kagstrom

Review: Developmentally appropriate mental health literacy content for school-aged children and adolescents — R1/PR8

Conflict of interest statement

Reviewer declares none.

Comments

Comments to Author: Thank you for the responses to my comments and for the revision of the paper.

Thank you for addressing the section on the implications of these developmental changes for MHL interventions. This section made sense and I felt tied together the purposes of your review nicely. I have realized reading through the paper again that you have primarily focused on cognitive developmental changes, and not more broadly on other factors that may be pertinent to children’s development in particular (such as their relationship with their primary caregiver viz. the bioecological model, although this is touched on page 33 in the section where you mention encouraging children to express their needs to their primary caregiver). The implication from a cognitive perspective is that MHL interventions should target children in a developmentally appropriate way and their understanding of their own mental health; but I think the larger implication of this developmental stage is that MHL interventions also need to be targeted at the primary support systems of children as well to be optimally effective – because children develop within these systems and are reliant on those caregivers to access optimal care. I think this stood out more once you had divided the implications up into age ranges, with the 5-9 age range presented first. I don’t think you necessarily have the space/scope to cover this, but the wider importance of other developmental factors to childhood development is conspicuously absent and may be one of the limitations of the paper that you could note.

The sentence on page 31 regarding Fazel et al. (2014) could potentially be removed unless you have room to expand on the differences and overlaps between MHL interventions and MH prevention programs in schools.

There are some minor grammatical issues throughout that could be easily rectified (e.g. “There is a growing body of evidence indicating the effectiveness of MHL interventions (Amado- Rodríguez et al., 2022) but resources outlining developmentally appropriate content for MHL for school-aged children lack (Kutcher & Wei, 2020).” – would read more clearly to say ‘are lacking’)

Review: Developmentally appropriate mental health literacy content for school-aged children and adolescents — R1/PR9

Conflict of interest statement

Reviewer declares none.

Comments

Comments to Author: Thank you for taking the time to make such well-considered amendments to your manuscript.

You’ve taken on board comments from both reviewers and, as a result the manuscript is more coherent. Having read your response, and the revised manuscript, I think this is ready for publication.

Recommendation: Developmentally appropriate mental health literacy content for school-aged children and adolescents — R1/PR10

Comments

No accompanying comment.

Decision: Developmentally appropriate mental health literacy content for school-aged children and adolescents — R1/PR11

Comments

No accompanying comment.

Decision: Developmentally appropriate mental health literacy content for school-aged children and adolescents — R1/PR12

Comments

No accompanying comment.