Abstract
Objective: From a preventive perspective, this study reviewed the literature on protective factors against depressive symptoms in high-risk children and adolescents.
Methods: We conducted a thorough search of the PubMed, APA, EMCare, and Embase databases for studies published between 1946 and August 25, 2023. We included only longitudinal studies that analyzed protective factors for depressive symptoms in high-risk children or adolescents, excluding cross-sectional studies, reviews, and pre-clinical studies.
Results: A total of 29 studies with 62,405 participants were analyzed and 38 protective factors were identified. Positive individual characteristics, family factors, peer relationships, school-related aspects, neighborhood characteristics, and intrinsic religiosity were associated with improved depression outcomes.
Conclusion: These findings have important implications for preventive strategies in this population. Addressing protective factors can help prevent depression and enhance lifetime mental health.
Protective factors; systematic-review; high-risk population; depression
Introduction
According to the Global Burden of Diseases, since 1990 depressive disorders have consistently been among the top 10 causes of disability-adjusted life-years across various age groups, including people aged 10-49 years.1 In 2019, along with anxiety disorders, depressive disorders ranked among the top three causes of disability-adjusted life-years among women, highlighting their enduring impact on health burdens.1 Childhood and adolescence are particularly critical periods for brain development and the subsequent emergence of depressive symptoms.2 Approximately one in five adolescents will experience a diagnosable depressive episode by 18 years of age, which demonstrates the importance of identifying at-risk youth and mitigating the long-term impact of this disorder.3 Risk factors for mental disorders in childhood are often discussed in the literature as a combination of negative environmental exposures that typically co-occur. Early adverse experiences, such as childhood poverty, parental mental illness, family instability, exposure to violence, substance abuse or criminality, and child maltreatment are the strongest and most consistent risk factors for both depressive and anxious symptoms.4 Such experiences can disrupt parent-child attachment5 and alter the development of affect regulation and stress response systems.6
However, the significant role that protective factors play in healthy development and reducing the impact of risk factors must also be emphasized.7 These factors can be regarded as positive influences in the environment that facilitate healthy development. While they may not necessarily promote normal progression in the absence of risk factors, they can make a notable difference when risk factors come into play.8 Understanding the intricate interplay between risk factors, protective factors, and the development of depressive symptoms enhances our comprehension of depression’s etiology, guiding effective prevention interventions. It is crucial to identify protective factors that promote resilience and enhance mental well-being, particularly for individuals vulnerable to depressive symptoms. Hence, this study examined the literature from a preventive perspective, focusing on longitudinal studies that investigated protective factors for depressive symptoms in high-risk children and adolescents.
Methods
The literature search was conducted in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines – Key Items for PRISMA.9 To ensure the transparency of our methodology, the study protocol and search strategy are detailed in Supplementary Material S4. Table 1 provides a comprehensive and objective overview of our inclusion and exclusion criteria. Our focus was on longitudinal studies investigating protective factors for depression in high-risk children and adolescents (age ≤ 18 years). High-risk criteria were defined as at least one of the following risk factors: low socioeconomic status, parental psychiatric disorders, or a history of maltreatment. We excluded studies that did not specifically explore protective factors in high-risk populations aged ≤ 18 years. Review articles, preclinical studies, cross-sectional, case-control studies, and clinical trials were excluded.
We conducted a comprehensive search of the PubMed/MEDLINE, Embase, EMCare, and APA databases for studies published between 1946 and December 15, 2022, including cohort studies in any language. When language posed a barrier, we engaged translation services to ensure inclusivity. The primary outcome was a reduced incidence or diagnosis of depressive symptoms. On August 25, 2023, we performed an updated search to ensure the most current data for our study. Six investigators were paired to independently conduct primary and secondary screening. Primary screening consisted of title and abstract assessment. PDFs of potentially eligible articles were obtained, and each pair of researchers performed an independent secondary screening. Any discrepancies during the primary or secondary screening phases were resolved through consensus.
After the screening phase, the six authors were paired to systematically extract data from each article, including the sample’s population type, geographical location, publication year, sample size per group, follow-up duration, sex distribution, mean baseline age, and the investigated risk factors (e.g., low socioeconomic level, parental psychiatric history, or maltreatment). We also collected details about the instruments used to measure risk and protective factors, the authors’ key conclusions, and the studied outcome in each article. The outcomes ranged from depressive symptoms, diagnosis of major depressive disorder, internalizing/externalizing problems, and emotional and behavioral issues. We used this systematic approach to study outcomes due to the studies’ varied depressive symptomatology assessment methods. Figure 1 is a comprehensive overview of the literature search process, and Figure 2 demonstrates the study’s flowchart.
Comprehensive summary of the results: 38 significantly protective factors across 29 longitudinal studies. Some articles reported more than one protective factor.
Flowchart showing the identification and selection of studies for inclusion in the systematic review.
Quality assessment
The studies’ methodological quality was determined using a heat map created using the Research Triangle Institute (RTI) item bank, which assesses sample size and representativeness, comparability between groups, the thoroughness of the statistical reports, and the determination of outcomes and protective factors. Further information on this process is presented in Supplementary Table S1. Each study was scored according to the number of applicable RTI items and was subsequently graded as low (0.00-0.40), moderate (0.41-0.70), or high (0.71-1.00) methodological quality/risk of bias.10 The critical appraisal was performed independently by two authors, with discrepancies resolved through discussion. We used the Grading of Recommendations, Assessment, Development, and Evaluations criteria (GRADE) to evaluate the evidence quality (classified as high, moderate, low, or very low).11 This assessment resulted in an overall score for each study. To construct the evidence map (Supplementary Table S2), we calculated the mean individual scores from each study that explored the corresponding protective factor, subsequently arranging them from low to high risk of bias.
Results
We identified 29 articles, all published between 2002 and 2023, that reported a total of 38 protective factors. The number of participants per study varied from 72 to 14,694, totaling 62,405 individuals. Most of the studies were conducted in the United States (n=20), with others from the United Kingdom (n=2), Germany (n=3), Australia (n=1), Spain (n=1), Sweden (n=1), and China (n=1). The median follow-up was 4 years (interquartile range 2.06-10 years), and the mean age at baseline was 9.75 years (interquartile range 6.53-14 years). Some studies took a comprehensive approach to defining high-risk populations, considering multiple risk factors simultaneously. The most frequently employed criteria for high-risk populations in longitudinal studies were childhood maltreatment (n=13), followed by socioeconomic risk (n=12), and parental mental health problems (n=9). For detailed information on each article, see Table 2. The majority of studies received a low overall risk-of-bias score (≤ 40%), with a 15.70% mean overall risk of bias. The heat map, produced from RTI-bank scores, is presented in Supplementary Table S3. Of the 38 protective factors, 18 (47.36%) had high certainty of evidence according to GRADE, as shown in the evidence map in Supplementary Table S2. A comprehensive list of the protective factors is provided in Table 3.
Comprehensive data summary† † The factors are arranged according to frequency of appearance (shown in brackets) and are listed using the nomenclature they received in the respective articles. To aid comprehension, the color-coding correlates with the frequency of each protective factor; darker tones signify higher frequencies. The outcomes prevented by each protective factor are indicated in parentheses. Non-significant factors are listed beside corresponding significant factors, facilitating comparison between the frequencies of related significant and non-significant factors. Factors in italic font denote protective elements that, unexpectedly, increased the risk of depression.
Individual characteristics
Eleven studies found significant associations between 11 distinct characteristics and improved depression outcomes.12,14-16,19,27-29,33,35,36 The most prevalent protective factor, which was assessed through various measures, was intelligence and executive function, encompassing high cognitive skills,13 high intelligent quotient (IQ),29,35 verbal intelligence,29 and reading comprehension.14 Self-efficacy27,36,40 and self-esteem14,15,35 were frequently cited protective factors, each reported in three different studies. Nevertheless, one study did not find a significant association between IQ and depressive symptoms.14 Positive correlations were also observed between adaptive stress responses,28,33 easy temperament,12,14 strong social functioning,12,34,36 intrinsic religiosity,18,24 and lower depressive symptoms, while another study found an association between higher striving19 and decreased depressive tendencies. However, other studies did not find a significant association between self-esteem,20 internal locus of control,14 and depressive symptoms. Another study could not determine whether easy temperament was a protective effect against internalizing symptoms.12 One study linked ego-resiliency16 with lower depressive symptoms, while another found that a particular serotonin receptor genotype (5-HTTLPR genotype) was associated with improved mental health outcomes in high-risk children.12 Ethnic identity and an optimistic view of the future were not found to be significant protective factors.18
Parenting and family characteristics
The family environment emerged as the focal point in research on protective factors for depression in children and adolescents, being investigated across various dimensions (n = 22).12-15,17,18,20-23,25,27-29,31,35-40,42 Parental attachment was a key focus, with seven studies highlighting its preventive impact.22,30,34,35,37,39,40 Three studies emphasized the significance of maternal attachment,13,21,23 while another emphasized paternal attachment.39 Curiously, while some studies found caregiver involvement and positive parenting17 to have preventive tendencies, others found them inconclusive14 or even risk factors for depression.23 Additionally, emotional regulation and sense of coherence in caregivers emerged as influential protective factors.12,28 The overall household atmosphere was examined in three studies,15,27,36 with two applying the Family Environment Scale.43 Three studies found that feeling family support18,25 and acceptance28 was a significant protective factor. Some studies also investigated the family structure’s impact on depression prevention, highlighting the protective effects of a two-parent household,40 higher parental education levels,40 and lower perceived marital discord.20 Positive sibling relationships14 and having a family routine38-40 also contributed to future mental health.
School, community, and relationships outside the family
The quality of personal relationships was investigated in 12 studies,14,15,17,18,21,25,34,36,37,39,40 with only one14 failing to find that supportive friendships had a significant protective effect for depressive symptoms. Five studies found a significant protective association between positive school experiences and depressive symptoms.14,18,32,34,39 Notably, one study found that a positive perception of school had a significant protective effect, although it did not find the same association for high school engagement or school attendance.14 Two studies found that regular participation in extracurricular activities had a protective effect,14,30 while another found it had no effect.25
Experiencing support,15,27 particularly from individuals outside the immediate family,25 was found to be a protective factor. However, one study found that supportive friendships had no significant protective effect,14 and another found no significant impact from teacher support.18 Neighborhood social cohesion was found to be a protective factor in three studies,28,40,42 but not in two others.25,38 Similarly, there were mixed results for attending religious services, with a significant protective effect found in one study26 but not in two others.14,24 In addition, service provision,35 perceived high socioeconomic level,40 and strong academic performance20 were not found to be significant factors.
Discussion
This comprehensive review of longitudinal studies on protective factors for depression in children and adolescents found a wealth of positive influences that can improve depression outcomes among high-risk children and adolescents. By understanding and addressing these factors, we could pave the way for more effective mental health promotion for vulnerable youth.
While certain protective factors, such as IQ, temperament, intrinsic religiosity, or genotype, may be inherently non-modifiable, the majority of our findings suggest that targeted programs could influence various protective factors. Interventions emphasizing the development of self-efficacy and healthy coping strategies have demonstrated positive effects on overall well-being in children and adolescents.44,45 Notably, increased self-efficacy, reflecting a belief in personal competence and stress management abilities,46 has proven to be a protective factor for mental health,47 particularly in the context of major depression.48 Of note, a number of individual characteristics were not found to significantly protect against depression in our review. This might be attributable to a deficiency in positive intrinsic characteristics among high-risk individuals, leading to dependency on the environment for support. For instance, maltreated children may have lower self-esteem, self-efficacy, and IQ scores.49-51
Low IQ has been recognized as a risk factor for depressive symptoms across various clinical and population samples.52,53 Consequently, it is reasonable to expect that individual traits linked to higher cognitive capacity, such as higher IQ, advanced cognitive skills, and superior reading comprehension, would be protective factors against the onset of depressive symptoms in our study.14,19,29,35 While one study found no significant relationship between overall IQ scores and resilience, it did find that other measures of cognitive abilities, such as high cognitive skills and advanced linguistic abilities were protective factors, which could suggest bias in its testing methodology.14 Nevertheless, intelligence has been associated with emotional and behavioral regulation, greater inhibitory control, better problem-solving skills, and effective communication abilities, enabling individuals to cope with stressors in ways that may reduce depressive symptoms in adulthood.29,54,55
Cross-sectional studies have consistently shown positive health outcomes for children raised in functional families, characterized by close emotional relationships between parents and children, mutual support, and quality time together.56-59 Our review further corroborated these findings, despite the heterogeneous measurement of family environments. A more structured and cohesive family environment clearly appears more protective, including a lower incidence of depression in the children of actively involved parents with greater emotional regulation. Interestingly, one study indicated that spending more time with a mother who has mental health issues increased the likelihood of depression during follow-up. This shows the significance of interventions that attempt to lower the risk of depression in children by preventing and treating mental disorders in their parents. Such interventions should focus on increasing parental attachment, promoting positive parenting techniques, and developing parental emotional regulation skills, as well as effectively treating those in need of mental health support.
Several studies in our review found quality peer relationships to be especially protective for depressive symptoms, in addition to a positive perception of school. These findings align with the results of cross-sectional studies on the significance of positive friendships, particularly during adolescence.60 Interventions in school settings that nurture peer relationships could yield additional benefits, simultaneously enhancing both the school environment and peer support. These dual benefits could have an additional preventive effect against depression. A systematic review investigated positive school experiences within a broader concept of school connection,32,39 finding that a higher level of school connectedness in children and adolescents predicted lower depressive and/or anxiety symptom levels in both population-based and intervention studies during adulthood.61
The results for participation in structured activities were inconsistent, with equal numbers of studies finding it protective or not. This may have been because other related aspects, rather than the extracurricular activities themselves, helped prevent depressive symptoms. A parallel observation was made by Cahill et al.,14 i.e., a positive perception of school had a protective effect in a population of maltreated children and adolescents, although high school engagement and attendance did not have a significant effect. Also of note, a large study of children at psychosocial risk did not find teacher support to be significantly protective, while other types of support were.18 It is possible that teachers in socioeconomically deprived areas are less available to provide emotional support, leading students to seek help from other sources.
Although another review found that positive neighborhood factors have a protective effect on mental health,62 our findings were inconsistent. This may stem from two studies which found that in participants at risk of maltreatment, neighborhood connection was a protective factor.40,42 Nevertheless, individuals at psychosocial risk may not experience as much benefit from their community regarding depressive symptoms, as indicated by other studies.25,38 Given the ample evidence that a child’s neighborhood can be a protective63 or a risk factor64 for mental health outcomes, more studies with high-risk children should be conducted to determine how positive neighborhood traits influence risk factors like maltreatment and psychosocial risk.
Religiosity contributed to resilience against depression, reflecting the findings of studies on maltreated children, i.e., that religiosity has a protective effect for internalizing and externalizing symptomatology.65 Notably, higher rates of spiritual/religious well-being seem to reduce the likelihood of depressive symptoms and risk-taking behaviors in children and adolescents.66 However, the effect of attending religious services was inconclusive in our review, with two papers finding non-significant results. Interestingly, one study found that attending religious services had a protective effect, while religious importance did not.26 This discrepancy may stem from context; the study that found service attendance to be a protective factor focused on the children of parents with mental health issues, while the studies that did not find it effective targeted populations with psychosocial and maltreatment risk. This suggests that children with mentally ill parents may find solace in a structured religious environment, potentially experiencing greater protection against depression than populations in disadvantaged communities or victims of maltreatment.
Given the significance of various protective factors in preventing depression, it may be worthwhile to explore an approach that considers the cumulative effect of these preventive factors, as in Zhang et al.41 Their study, which involved a sample of 2,288 high-risk individuals, found that children with two or three positive childhood experiences had better outcomes than those with zero or one, regardless of the specific nature of the positive experiences. Previous research highlights this quantitative balance, indicating that cumulative positive childhood experiences can counteract risk factors, regardless of the specific quality or type of positive experience, contributing to improved outcomes.67 Consequently, it may be advantageous to shift the focus from providing singular, advantageous experiences to promoting a diverse array of positive experiences that align with individual, family, and cultural contexts.56
To our knowledge, this is the first review of longitudinal studies in high-risk children and adolescents with a preventive perspective. However, we encountered limitations due to the prevailing focus on illness in the literature, resulting in a predominance of pathology-oriented research and a scarcity of studies on protective factors and resilience. The diverse methods used to assess depressive symptoms, along with innovative statistical approaches, impeded meta-analysis, preventing a reliable quantitative comparison of effect sizes for distinct protective factors. Moreover, the heterogeneity arising from diverse methodologies, populations, and evidence quality levels complicated synthesis of the results and restricted our ability to draw definitive conclusions. It should be pointed out that manual searches were not included in our search methodology, thus relevant manuscripts may have been overlooked. Additionally, publication bias, favoring studies with positive or significant results, could have influenced overall interpretation of the evidence. Furthermore, although our study was not registered in PROSPERO, our comprehensive study protocol is available in the Supplementary Material to ensure methodological transparency.
In conclusion, the prevalence of depression and its impact on individual lives and functioning make it a significant public health concern. Early identification of potential protective factors is crucial, since effective interventions in high-risk children and adolescents can prevent adverse mental outcomes in adulthood. By promoting protective factors and providing appropriate support, we can improve lifelong mental well-being and overall quality of life. Shifting our perspective to protective factors and embracing a mental health-oriented approach could prove pivotal for high-risk individuals, fostering a more comprehensive, proactive, and effective approach to mental health care.
Acknowledgements
This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001. ICP is a Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) research fellow.
References
- 1 Vos T, Lim SS, Abbafati C, Abbas KM, Abbasi M, Abbasifard M, et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396:1204-22.
- 2 Hankin BL, Abramson LY, Moffitt TE, Silva PA, McGee R, Angell KE. Development of depression from preadolescence to young adulthood: Emerging gender differences in a 10-year longitudinal study. J Abnorm Psychol. 1998;107:128-40.
- 3 Costello DM, Swendsen J, Rose JS, Dierker LC. Risk and protective factors associated with trajectories of depressed mood from adolescence to early adulthood. J Consult Clin Psychol. 2008;76:173-83.
- 4 Petruccelli K, Davis J, Berman T. Adverse childhood experiences and associated health outcomes: A systematic review and meta-analysis. Child Abuse Negl. 2019;97:104127.
- 5 Nolte T, Guiney J, Fonagy P, Mayes LC, Luyten P. Interpersonal stress regulation and the development of anxiety disorders: an attachment-based developmental framework. Front Behav Neurosci. 2011;5:55.
- 6 Morris AS, Silk JS, Steinberg L, Myers SS, Robinson LR. The role of the family context in the development of emotion regulation. Soc Dev Oxf Engl. 2007;16:361-88.
- 7 Luther SS. Resilience and vulnerability: Adaptation in the context of childhood adversities. New York: Cambridge University Press; 2003.
- 8 Brasso C, Giordano B, Badino C, Bellino S, Rocca P, Bozzatello P, et al. Primary psychosis: Risk and protective factors and early detection of the onset. Diagnostics. 2021;11:2146.
- 9 Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4:1.
- 10 Viswanathan M, Berkman ND. Development of the RTI item bank on risk of bias and precision of observational studies. J Clin Epidemiol. 2012;65:163-78.
- 11 Guyatt GH, Oxman AD, Vist GE, Kunz R, Falck-Ytter Y, Alonso-Coello P, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ. 2008;336:924-6.
- 12 Agnafors S, Svedin CG, Oreland L, Bladh M, Comasco E, Sydsjo G, et al. A biopsychosocial approach to risk and resilience on behavior in children followed from birth to age 12. Child Psychiatry Hum Dev. 2017;48:584-96.
- 13 Bayer JK, Rozkiewicz M. Can parenting foster resiliency to mental health problems in at-risk infants? Int J Ment Health Promot. 2015;17:129-39.
- 14 Cahill S, Hager R, Chandola T. The validity of the residuals approach to measuring resilience to adverse childhood experiences. Child Adolesc Psychiatry Ment Health. 2022;16:18.
- 15 Carbonell DM, Reinherz HZ, Giaconia RM, Stashwick CK, Paradis AD, Beardslee WR. Adolescent protective factors promoting resilience in young adults at risk for depression. Child Adolesc Soc Work J. 2002;19:393-412.
- 16 Causadias JM, Salvatore JE, Sroufe LA. Early patterns of self-regulation as risk and promotive factors in development: A longitudinal study from childhood to adulthood in a high-risk sample. Int J Behav Dev. 2012;36:293-302.
- 17 Chester C, Jones DJ, Zalot A, Sterrett E. The psychosocial adjustment of African American youth from single mother homes: The relative contribution of parents and peers. J Clin Child Adolesc Psychol. 2007;36:356-66.
- 18 Cotter KL, Wu Q, Smokowski PR. Longitudinal risk and protective factors associated with internalizing and externalizing symptoms among male and female adolescents. Child Psychiatry Hum Dev. 2016;47:472-85.
- 19 Doom JR, Hazzard VM, Bauer KW, Clark CJ, Miller AL. Does striving to succeed come at a physiological or psychosocial cost for adults who experienced child maltreatment? Dev Psychopathol. 2017;29:1905-19.
- 20 Ezpeleta L, Granero R, de la Osa N, Domenech JM. Risk factor clustering for psychopathology in socially at-risk Spanish children. Soc Psychiatry Psychiatr Epidemiol. 2008;43:559-68.
- 21 Gaylord-Harden NK, Taylor JJ, Campbell CL, Kesselring CM, Grant KE. Maternal attachment and depressive symptoms in urban adolescents: The influence of coping strategies and gender. J Clin Child Adolesc Psychol. 2009;38:684-95.
- 22 Hardaway CR, Sterrett-Hong E, Larkby CA, Cornelius MD. Family resources as protective factors for low-income youth exposed to community violence. J Youth Adolesc. 2016;45:1309-22.
- 23 Harold GT, Leve LD, Kim HK, Mahedy L, Gaysina D, Thapar A, et al. Maternal caregiving and girls’ depressive symptoms and antisocial behavior trajectories: An examination among high-risk youth. Dev Psychopathol. 2014;26:1461-75.
- 24 Helms SW, Gallagher M, Calhoun CD, Choukas-Bradley S, Dawson GC, Prinstein MJ. Intrinsic religiosity buffers the longitudinal effects of peer victimization on adolescent depressive symptoms. J Clin Child Adolesc Psychol. 2015;44:471-9.
- 25 Jain S, Buka SL, Subramanian SV, Molnar BE. Protective factors for youth exposed to violence: Role of developmental assets in building emotional resilience. Youth Violence Juv Justice. 2012;10:107-29.
- 26 Kasen S, Wickramaratne P, Gameroff MJ, Weissman MM. Religiosity and resilience in persons at high risk for major depression. Psychol Med. 2012;42:509-19.
- 27 Klasen F, Otto C, Kriston L, Patalay P, Schlack R. Risk and protective factors for the development of depressive symptoms in children and adolescents: results of the longitudinal BELLA study. Eur Child Adolesc Psychiatry. 2015;24:695-703.
- 28 Kliewer W, Cunningham JN, Diehl R, Parrish KA, Walker JM, Atiyeh C, et al. Violence exposure and adjustment in inner-city youth: child and caregiver emotion regulation skill, caregiver-child relationship quality, and neighborhood cohesion as protective factor. J Clin Child Adolesc Psychol. 2004;33:477-87.
- 29 Kuper JL, Turanovic JJ. Adjustment problems in early adulthood among victims of childhood physical abuse: A focus on adolescent risk and protective factors. Crim Justice J. 2019;66:337-62.
- 30 Kwak Y, Mihalec-Adkins B, Mishra AA, Christ SL. Differential impacts of participation in organized activities and maltreatment types on adolescent academic and socioemotional development. Child Abuse Negl. 2018;78:107-17.
- 31 Laucht M, Esser G, Schmidt M. Vulnerability and resilience in the development of children at risk: The role of early mother-child interaction. Rev Psiquiatr Clin. 2002;29:20-7.
-
32 Markowitz AJ. ERIC [Internet]. Associations between school connection and depressive symptoms from adolescence through adulthood: The moderating influence of early adversity. https://files.eric.ed.gov/fulltext/ED562085.pdf
» https://files.eric.ed.gov/fulltext/ED562085.pdf - 33 Monti JD, Rudolph KD. Maternal depression and trajectories of adolescent depression: The role of stress responses in youth risk and resilience. Dev Psychopathol. 2017;29:1413-29.
- 34 Oshri A, Topple TA, Carlson MW. Positive youth development and resilience: Growth patterns of social skills among youth investigated for maltreatment. Child Dev. 2017;88:1087-99.
- 35 Pargas RCM, Brennan PA, Hammen C, Le Brocque R. Resilience to maternal depression in young adulthood. Dev Psychol. 2010;46:805-14.
- 36 Plass-Christl A, Otto C, Klasen F, Wiegand-Grefe S, Barkmann C, Holling H, et al. Trajectories of mental health problems in children of parents with mental health problems: results of the BELLA study. Eur Child Adolesc Psychiatry. 2018;27:867-76.
- 37 Russotti J, Herd T, Handley ED, Toth SL, Noll JG. Patterns of mother, father, and peer attachment quality as moderators of child maltreatment risk for depression and PTSD symptoms in adolescent females. J Interpers Violence. 2023;38:6888-914.
- 38 Thakur H, Cohen JR. Short-term and long-term resilience among at-risk adolescents: The role of family and community settings. J Clin Child Adolesc Psychol. 2022;51:637-50.
- 39 Wang D, Jiang Q, Yang Z, Choi JK. The longitudinal influences of adverse childhood experiences and positive childhood experiences at family, school, and neighborhood on adolescent depression and anxiety. J Affect Disord. 2021;292:542-51.
- 40 Zhang A, Shi L, Yan W, Xiao H, Bao Y, Wang Z, et al. Mental health in children in the context of COVID-19: Focus on discharged children. Front Psychiatry. 2021;12:759449.
- 41 Zhang L, Fang J, Zhang D, Wan Y, Gong C, Su P, et al. Poly-victimization and psychopathological symptoms in adolescence: Examining the potential buffering effect of positive childhood experiences. J Affect Disord. 2021;282:1308-14.
- 42 Oshri A, Rogosch FA, Cicchetti D. Child maltreatment and mediating influences of childhood personality types on the development of adolescent psychopathology. J Clin Child Adolesc Psychol. 2013;42:287-301.
- 43 Moos RH, Moos BS. Family environment scale manual. 3rd ed. Palo Alto: Consulting Psychologists Press; 1994.
- 44 Edraki M, Rambod M, Molazem Z. The effect of coping skills training on depression, anxiety, stress, and self-efficacy in adolescents with diabetes: A randomized controlled trial. Int J Community Based Nurs Midwifery. 2018;6:324-33.
- 45 Merry SN, Hetrick SE, Cox GR, Brudevold-Iversen T, Bir JJ, McDowell H. Cochrane review: Psychological and educational interventions for preventing depression in children and adolescents. Evid-Based Child Health Cochrane Rev J. 2012;7:1409-685.
- 46 Luszczynska A, Scholz U, Schwarzer R. The general self-efficacy scale: Multicultural validation studies. J Psychol. 2005;139:439-57.
- 47 Bettge S, Ravens-Sieberer U. Schutzfaktoren für die psychische Gesundheit von Kindern und Jugendlichen – empirische Ergebnisse zur Validierung eines Konzepts. Gesundheitswesen. 2003;65:167-72.
- 48 Tahmassian K, Jalali Moghadam N. Relationship between self-efficacy and symptoms of anxiety, depression, worry and social avoidance in a normal sample of students. Iran J Psychiatry Behav Sci. 2011;5:91-8.
- 49 Young-Southward G, Eaton C, O’Connor R, Minnis H. Investigating the causal relationship between maltreatment and cognition in children: A systematic review. Child Abuse Negl. 2020;107:104603.
- 50 Haj-Yahia MM, Hassan-Abbas N, Malka M, Sokar S. Exposure to family violence in childhood, self-efficacy, and posttraumatic stress symptoms in young adulthood. J Interpers Violence. 2021;36:NP9548-75.
- 51 Zhang H, Wang W, Liu S, Feng Y, Wei Q. A meta-analytic review of the impact of child maltreatment on self-esteem: 1981 to 2021. Trauma Violence Abuse. 2023;24:3398-411.
- 52 Glaser B, Gunnell D, Timpson NJ, Joinson C, Zammit S, Smith GD, et al. Age- and puberty-dependent association between IQ score in early childhood and depressive symptoms in adolescence. Psychol Med. 2011;41:333-43.
- 53 Vilgis V, Silk TJ, Vance A. Executive function and attention in children and adolescents with depressive disorders: a systematic review. Eur Child Adolesc Psychiatry. 2015;24:365-84.
- 54 Meldrum R, Petkovsek M, Boutwell B, Young J. Reassessing the relationship between general intelligence and self-control in childhood. Intelligence. 2017;60:1-9.
- 55 Boland M, Ross W. Emotional intelligence and dispute mediation in escalating and de‐escalating situations. J Appl Soc Psychol. 2010;40:3059-105.
- 56 Crandall A, Broadbent E, Stanfill M, Magnusson BM, Novilla MLB, Hanson CL, et al. The influence of adverse and advantageous childhood experiences during adolescence on young adult health. Child Abuse Negl. 2020;108:104644.
- 57 Crouch E, Radcliff E, Strompolis M, Srivastav A. Safe, stable, and nurtured: Protective factors against poor physical and mental health outcomes following exposure to adverse childhood experiences (ACEs). J Child Adolesc Trauma. 2018;12:165-73.
- 58 Haavet O, Straand J, Saugstad O, Grünfeld B. Illness and exposure to negative life experiences in adolescence: two sides of the same coin? A study of 15-year-olds in Oslo, Norway. Acta Paediatr. 2004;93:405-11.
- 59 HAAVET OR, SAUGSTAD OD, STRAAND J. Positive factors associated with promoting health in low-risk and high-risk populations of 15- and 16-year-old pupils in Oslo, Norway. Acta Paediatr. 2005;94:345-51.
- 60 Leffert N, Benson P, Scales P, Sharma A, Drake D, Blyth D. Developmental assets: Measurement and prediction of risk behaviors among adolescents. Appl Dev Sci. 1998;2:209-30.
- 61 Raniti M, Rakesh D, Patton GC, Sawyer SM. The role of school connectedness in the prevention of youth depression and anxiety: a systematic review with youth consultation. BMC Public Health. 2022;22:2152.
- 62 Breedvelt JJF, Tiemeier H, Sharples E, Galea S, Niedzwiedz C, Elliott I, et al. The effects of neighbourhood social cohesion on preventing depression and anxiety among adolescents and young adults: rapid review. BJPsych Open. 2022;8:e97.
- 63 Kingsbury M, Kirkbride JB, McMartin SE, Wickham ME, Weeks M, Colman I. Trajectories of childhood neighbourhood cohesion and adolescent mental health: evidence from a national Canadian cohort. Psychol Med. 2015;45:3239-48.
- 64 Choi J-K, Teshome T, Smith J. Neighborhood disadvantage, childhood adversity, bullying victimization, and adolescent depression: A multiple mediational analysis. J Affect Disord. 2021;279:554-62.
- 65 Kim J. The protective effects of religiosity on maladjustment among maltreated and nonmaltreated children. Child Abuse Negl. 2008;32:711-20.
- 66 Cotton S, Larkin E, Hoopes A, Cromer BA, Rosenthal SL. The impact of adolescent spirituality on depressive symptoms and health risk behaviors. J Adolesc Health. 2005;36:529.
- 67 Merrick MT, Ports KA, Ford DC, Afifi TO, Gershoff ET, Grogan-Kaylor A. Unpacking the impact of adverse childhood experiences on adult mental health. Child Abuse Negl. 2017;69:10-9.
Edited by
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Handling Editor: Fernando Goes
Publication Dates
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Publication in this collection
21 Oct 2024 -
Date of issue
2024
History
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Received
08 Nov 2023 -
Accepted
23 Feb 2024