BACKGROUND: Childhood adversity (CA) is strongly associated with mental health problems. Resilience factors (RFs) reduce mental health problems following CA. Yet, knowledge on the nature of RFs is scarce. Therefore, we examined RF mean levels, RF interrelations, RF-distress pathways, and their changes between early (age 14) and later adolescence (age 17). METHODS: We studied 10 empirically supported RFs in adolescents with (CA+; n = 631) and without CA (CA-; n = 499), using network psychometrics. RESULTS: All inter-personal RFs (e.g. friendships) showed stable mean levels between age 14 and 17, and three of seven intra-personal RFs (e.g. distress tolerance) changed in a similar manner in the two groups. The CA+ group had lower RFs and higher distress at both ages. Thus, CA does not seem to inhibit RF changes, but to increase the risk of persistently lower RFs. At age 14, but not 17, the RF network of the CA+ group was less positively connected, suggesting that RFs are less likely to enhance each other than in the CA- group. Those findings underpin the notion that CA has a predominantly strong proximal effect. RF-distress pathways did not differ in strength between the CA+ and the CA- group, which suggests that RFs have a similarly protective strength in the two groups. Yet, as RFs are lower and distress is higher, RF-distress pathways may overall be less advantageous in the CA+ group. Most RF interrelations and RF-distress pathways were stable between age 14 and 17, which may help explain why exposure to CA is frequently found to have a lasting impact on mental health. CONCLUSIONS: Our findings not only shed light on the nature and changes of RFs between early and later adolescence, but also offer some accounts for why exposure to CA has stronger proximal effects and is often found to have a lasting impact on mental health.

Department of Clinical Psychology Leiden University Leiden the Netherlands

Department of Kinanthropology Charles University Prague Czech Republic

Department of Psychiatry University of Cambridge Cambridge UK

Department of Psychological Methods University of Amsterdam Amsterdam the Netherlands

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Greif Green J, et al. Childhood adversities and adult psychopathology in the National Comorbidity Survey Replication (NCS-R) I: associations with first onset of DSM-IV disorders. Arch Gen Psychiatry. 2010;67:113–133. doi: 10.1001/archgenpsychiatry.2009.186. PubMed DOI PMC

Kessler RC, et al. Childhood adversities and adult psychopathology in the WHO world mental health surveys. Br J Psychiatry. 2010;197:378–385. doi: 10.1192/bjp.bp.110.080499. PubMed DOI PMC

McLaughlin K, Future A. Directions in childhood adversity and youth psychopathology. J Clin Child Adolesc Psychol. 2016;45:361–382. doi: 10.1080/15374416.2015.1110823. PubMed DOI PMC

Kessler RC, Davis CG, Kendler KS. Childhood adversity and adult psychiatric disorder in the US National Comorbidity Survey. Psychol Med. 1997;27:1101–1119. doi: 10.1017/S0033291797005588. PubMed DOI

Afifi TO, et al. Individual- and relationship-level factors related to better mental health outcomes following child abuse: results from a nationally representative Canadian sample. Can J Psychiatr. 2016;61:776–788. doi: 10.1177/0706743716651832. PubMed DOI PMC

Blakemore E. Should childhood trauma be treated as a public health crisis? 2018.

Zanolli L. Can people be saved from a terrible childhood? 2018.

Fritz J, de Graaff AM, Caisley H, van Harmelen A-L, Wilkinson PO. A systematic review of amenable resilience factors that moderate and/or mediate the relationship between childhood adversity and mental health in young people. Front Psychiatry. 2018;9:230. doi: 10.3389/fpsyt.2018.00230. PubMed DOI PMC

Zimmerman MA, et al. Adolescent resilience: promotive factors that inform prevention. Child Dev Perspect. 2013;7:215–220. doi: 10.1111/cdep.12042. PubMed DOI PMC

Ioannidis K, van Harmelen A-L. The neurobiology of resilient functioning after childhood emotional maltreatment. Open Sci Framew. Retrieved from https://osf.io/3vfqb/. Accessed 24 Apr 2017.

van Harmelen A-L, et al. Friendships and family support reduce subsequent depressive symptoms in at-risk adolescents. PLoS One. 2016;11:e0153715. doi: 10.1371/journal.pone.0153715. PubMed DOI PMC

Diehl M, Hay EL, Chui H. Personal risk and resilience factors in the context of daily stress. Annu Rev Gerontol Geriatr. 2012;32:251–274. doi: 10.1891/0198-8794.32.251. PubMed DOI PMC

Scheffer M, et al. Quantifying resilience of humans and other animals. PNAS. 2018;115:11883–11890. doi: 10.1073/pnas.1810630115. PubMed DOI PMC

Kalisch, R. et al. Deconstructing and reconstructing resilience: a dynamic network approach. (Manuscript submitted for publication, 2018). PubMed

Scheffer M, et al. Creating a safe operating space for iconic ecosystems. Science. 2015;347:1317–1318. doi: 10.1126/science.aaa3769. PubMed DOI

Battiston S, et al. Complexity theory and financial regulation. Science. 2016;351:818–820. doi: 10.1126/science.aad0299. PubMed DOI

Fritz J, Fried EI, Goodyer IM, Wilkinson PO, van Harmelen A-L. A network model of resilience factors for adolescents with and without exposure to childhood adversity. Sci Rep. 2018;8:15774. doi: 10.1038/s41598-018-34130-2. PubMed DOI PMC

Costello EJ, Copeland W, Angold A. Trends in psychopathology across the adolescent years: what changes when children become adolescents, and when adolescents become adults? J Child Psychol Psychiatry Allied Discip. 2011;52:1015–1025. doi: 10.1111/j.1469-7610.2011.02446.x. PubMed DOI PMC

Kalisch R, et al. The resilience framework as a strategy to combat stress-related disorders. Nat Hum Behav. 2017;1:784–90. PubMed

Rutter M. Resilience in the face of adversity: protective factors and resistance to psychiatric disorder. Br J Psychiatry. 1985;147:598–611. doi: 10.1192/bjp.147.6.598. PubMed DOI

Masten AS. Resilience in children threatened by extreme adversity: frameworks for research, practice, and translational synergy. Dev Psychopathol. 2011;23:493–506. doi: 10.1017/S0954579411000198. PubMed DOI

Almquist YB, et al. Prevailing over adversity: factors counteracting the long-term negative health influences of social and material disadvantages in youth. Int J Environ Res Public Health. 2018;15:1842. PubMed PMC

Kim BKE, Oesterle S, Catalano RF, Hawkins JD. Change in protective factors across adolescent development. J Appl Dev Psychol. 2015;40:26–37. doi: 10.1016/j.appdev.2015.04.006. PubMed DOI PMC

Frydenberg E, Lewis R. Teaching coping to adolescents: when and to whom? Am Educ Res J. 2000;37:727–745. doi: 10.3102/00028312037003727. DOI

Zimmermann P, Iwanski A. Emotion regulation from early adolescence to emerging adulthood and middle adulthood: age differences, gender differences, and emotion-specific developmental variations. Int J Behav Dev. 2014;38:182–194. doi: 10.1177/0165025413515405. DOI

Goodyer IM, Croudace T, Dunn V, Herbert J, Jones PB. Cohort profile: risk patterns and processes for psychopathology emerging during adolescence: the ROOTS project. Int J Epidemiol. 2010;39:361–369. doi: 10.1093/ije/dyp173. PubMed DOI PMC

Dunn VJ, et al. Profiles of family-focused adverse experiences through childhood and early adolescence: the ROOTS project a community investigation of adolescent mental health. BMC Psychiatry. 2011;11:109. doi: 10.1186/1471-244X-11-109. PubMed DOI PMC

Hothorn T, Hornik K, van de Wiel MA, Zeileis A. Implementing a class of permutation tests: the coin package. J Stat Softw. 2008;28:1–23. doi: 10.18637/jss.v028.i08. PubMed DOI

Morgan M, Chinn S. ACORN group, social class, and child health. J Epidemiol Community Health. 1983;37:196–203. doi: 10.1136/jech.37.3.196. PubMed DOI PMC

Kaufman J, et al. Schedule for affective disorders and schizophrenia for school-age children-present and lifetime version (K-SADS-PL): initial reliability and validity data. J Am Acad Child Adolesc Psychiatry. 1997;36:980–988. doi: 10.1097/00004583-199707000-00021. PubMed DOI

Messer SC, Angold A, Costello EJ. Development of a short questionnaire for use in epidemiological studies of depression in children and adolescents: factor composition and structure across development. Int J Methods Psychiatr Res. 1995;5:251–262.

Reynolds CR, Richmond BO. What I think and feel: a revised measure of children’s manifest anxiety. J Abnorm Child Psychol. 1978;6:271–280. doi: 10.1007/BF00919131. PubMed DOI

Brodbeck J, Abbott RA, Goodyer IM, Croudace TJ. General and specific components of depression and anxiety in an adolescent population. BMC Psychiatry. 2011;11:191. doi: 10.1186/1471-244X-11-191. PubMed DOI PMC

Stochl J, et al. Mood, anxiety and psychotic phenomena measure a common psychopathological factor. Psychol Med. 2015;45:1483–1493. doi: 10.1017/S003329171400261X. PubMed DOI

St Clair MC, et al. Characterising the latent structure and organisation of self-reported thoughts, feelings and behaviours in adolescents and young adults. PLoS One. 2017;12:e0175381. doi: 10.1371/journal.pone.0175381. PubMed DOI PMC

Goodyer IM, Wright C, Altham PME. Recent friendships in anxious and depressed school age children. Psychol Med. 1989;19:165–174. doi: 10.1017/S0033291700011119. PubMed DOI

Epstein NB, Baldwin LM, Bishop DS. The McMaster Family Assessment device. J Marital Fam Ther. 1983;9:171–180. doi: 10.1111/j.1752-0606.1983.tb01497.x. DOI

Rosenberg M. Society and the adolescent self-image. Princeton: Princeton University Press; 1965.

Treynor W, Gonzalez R, Nolen-Hoeksema S. Rumination reconsidered: a psychometric analysis. Cognit Ther Res. 2003;27:247–259. doi: 10.1023/A:1023910315561. DOI

Burwell RA, Shirk SR. Subtypes of rumination in adolescence: associations between brooding, reflection, depressive symptoms, and coping. J Clin Child Adolesc Psychol. 2007;36:56–65. doi: 10.1080/15374410709336568. PubMed DOI

Goodyer, I. M. et al. Improving mood with psychoanalytic and cognitive therapies (IMPACT): a pragmatic effectiveness superiority trial to investigate whether specialised psychological treatment reduces the risk for relapse in adolescents with moderate to severe unipolar dep... Trials 12, 175 (2011). PubMed PMC

American Psychiatric Association. Diagnostic and statistical manual of mental disorders (4th ed., text rev.). (Washington, DC: Author, 2000).

Bould H, Joinson C, Sterne J, Araya R. The emotionality activity sociability temperament survey: factor analysis and temporal stability in a longitudinal cohort. Pers Individ Dif. 2013;54:628–633. doi: 10.1016/j.paid.2012.11.010. DOI

Poythress NG, et al. Internal consistency reliability of the self-report antisocial process screening device. Assessment. 2006;13:107–113. doi: 10.1177/1073191105284279. PubMed DOI

R Core Team . R: A language and environment for statistical computing. 2018.

van Buren S, Groothuis-Oudshoorn K. mice: multivariate imputation by chained equations in R. J Stat Softw. 2011;45:1–67. doi: 10.18637/jss.v045.i03. DOI

Wu H, Estabrook R. Identification of confirmatory factor analysis models of different levels of invariance for ordered categorical outcomes. Psychometrika. 2016;81:1014–1045. doi: 10.1007/s11336-016-9506-0. PubMed DOI PMC

Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B. 1995;57:289–300.

Epskamp S, Fried EI. A tutorial on regularized partial correlation networks. Psychol Methods. 2018;23:617–634. doi: 10.1037/met0000167. PubMed DOI

van Borkulo, C. D. Comparing network structures on three aspects: a permutation test (PhD Thesis Chapter 5). Groningen: (University of Groningen; 2018).

Elliott H, Jones PJ, Schmidt U. Central symptoms predict post-treatment outcomes and clinical impairment in anorexia nervosa: a network analysis. PsyArXiv Retrieved from https://psyarxiv.com/hw2dz/. Accessed 13 Nov 2018.

Isvoranu A-M, et al. Toward incorporating genetic risk scores into symptom networks of psychosis. Psychol. Med. 2019;1–8. PubMed PMC

Isvoranu A-M, Borsboom D, van Os J, Guloksuz S. A network approach to environmental impact in psychotic disorder: brief theoretical framework. Schizophr Bull. 2016;42:870–873. doi: 10.1093/schbul/sbw049. PubMed DOI PMC

Epskamp S, Borsboom D, Fried EI. Estimating psychological networks and their accuracy : a tutorial paper. Behav Res Methods. 2018;50:195–212. doi: 10.3758/s13428-017-0862-1. PubMed DOI PMC

Costantini G, et al. State of the aRt personality research: a tutorial on network analysis of personality data in R. J Res Pers. 2015;54:13–29. doi: 10.1016/j.jrp.2014.07.003. DOI

McNally RJ. Can network analysis transform psychopathology? Behav Res Ther. 2016;86:95–104. doi: 10.1016/j.brat.2016.06.006. PubMed DOI

Friedman NP, et al. Stability and change in executive function abilities from late adolescence to early adulthood: a longitudinal twin study. Dev Psychol. 2016;52:326–340. doi: 10.1037/dev0000075. PubMed DOI PMC

Dimond A. Executive Functions. Annu Rev Psychol. 2013;64:135–168. doi: 10.1146/annurev-psych-113011-143750. PubMed DOI PMC

Shanahan L, Copeland WE, Costello EJ, Angold A. Child-, adolescent-and young adult-onset depressions: differential risk factors in development? Psychol Med. 2011;41:2265–2274. doi: 10.1017/S0033291711000675. PubMed DOI PMC

Raposo SM, Mackenzie CS, Henriksen CA, Afifi TO. Time does not heal all wounds: older adults who experienced childhood adversities have higher odds of mood, anxiety, and personality disorders. Am J Geriatr Psychiatry. 2014;22:1241–1250. doi: 10.1016/j.jagp.2013.04.009. PubMed DOI

Kievit RA, et al. Mutualistic coupling between vocabulary and reasoning supports cognitive development during late adolescence and early adulthood. Psychol Sci. 2017;28:1419–1431. doi: 10.1177/0956797617710785. PubMed DOI PMC

Elwert F, Winship C. Endogenous selection bias: the problem of conditioning on a collider variable. Annu Rev Sociol. 2014;40:31–53. doi: 10.1146/annurev-soc-071913-043455. PubMed DOI PMC

Williams DR, Rhemtulla M, Wysocki A, Rast P. On non-regularized estimation of psychological networks. PsyArXiv. Retrieved from: 10.31234/osf.io/xr2vf. Accessed 10 Jan 2019.

Stochl J, et al. Identifying key targets for interventions to improve psychological wellbeing: replicable results from four UK cohorts. Psychol Med. 2018:1–8. PubMed PMC

VicHealth . Current theories relating to resilience and young people: a literature review. Melbourne: Victorian Health Promotion Foundation; 2015.

American Psychiatric Association. Diagnostic and statistical manual of mental disorders (5th ed.). (Washington, DC: Author, 2013). 10.1176/appi.books.9780890425596.

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