Skip to main content
Top
Published in: BMC Medicine 1/2019

Open Access 01-12-2019 | Research article

Unravelling the complex nature of resilience factors and their changes between early and later adolescence

Authors: J. Fritz, J. Stochl, E. I. Fried, I. M. Goodyer, C. D. van Borkulo, P. O. Wilkinson, A.-L. van Harmelen

Published in: BMC Medicine | Issue 1/2019

Login to get access

Abstract

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.
Appendix
Available only for authorised users
Literature
1.
go back to reference 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;67:113–33.CrossRef 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;67:113–33.CrossRef
2.
4.
go back to reference Kessler RC, Davis CG, Kendler KS. Childhood adversity and adult psychiatric disorder in the US National Comorbidity Survey. Psychol Med. 1997;27:1101–19.PubMedCrossRef Kessler RC, Davis CG, Kendler KS. Childhood adversity and adult psychiatric disorder in the US National Comorbidity Survey. Psychol Med. 1997;27:1101–19.PubMedCrossRef
5.
go back to reference 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;61:776–88.CrossRef 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;61:776–88.CrossRef
8.
go back to reference 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.PubMedPubMedCentralCrossRef 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.PubMedPubMedCentralCrossRef
9.
go back to reference Zimmerman MA, et al. Adolescent resilience: promotive factors that inform prevention. Child Dev Perspect. 2013;7:215–20.CrossRef Zimmerman MA, et al. Adolescent resilience: promotive factors that inform prevention. Child Dev Perspect. 2013;7:215–20.CrossRef
10.
go back to reference 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. 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.
11.
14.
go back to reference Kalisch, R. et al. Deconstructing and reconstructing resilience: a dynamic network approach. (Manuscript submitted for publication, 2018). Kalisch, R. et al. Deconstructing and reconstructing resilience: a dynamic network approach. (Manuscript submitted for publication, 2018).
15.
go back to reference Scheffer M, et al. Creating a safe operating space for iconic ecosystems. Science. 2015;347:1317–8.PubMedCrossRef Scheffer M, et al. Creating a safe operating space for iconic ecosystems. Science. 2015;347:1317–8.PubMedCrossRef
16.
17.
go back to reference 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.PubMedPubMedCentralCrossRef 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.PubMedPubMedCentralCrossRef
18.
go back to reference 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;52:1015–25.CrossRef 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;52:1015–25.CrossRef
19.
go back to reference Kalisch R, et al. The resilience framework as a strategy to combat stress-related disorders. Nat Hum Behav. 2017;1:784–90. Kalisch R, et al. The resilience framework as a strategy to combat stress-related disorders. Nat Hum Behav. 2017;1:784–90.
20.
go back to reference Rutter M. Resilience in the face of adversity: protective factors and resistance to psychiatric disorder. Br J Psychiatry. 1985;147:598–611.PubMedCrossRef Rutter M. Resilience in the face of adversity: protective factors and resistance to psychiatric disorder. Br J Psychiatry. 1985;147:598–611.PubMedCrossRef
21.
go back to reference Masten AS. Resilience in children threatened by extreme adversity: frameworks for research, practice, and translational synergy. Dev Psychopathol. 2011;23:493–506.PubMedCrossRef Masten AS. Resilience in children threatened by extreme adversity: frameworks for research, practice, and translational synergy. Dev Psychopathol. 2011;23:493–506.PubMedCrossRef
22.
go back to reference 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. 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.
23.
go back to reference Kim BKE, Oesterle S, Catalano RF, Hawkins JD. Change in protective factors across adolescent development. J Appl Dev Psychol. 2015;40:26–37.CrossRef Kim BKE, Oesterle S, Catalano RF, Hawkins JD. Change in protective factors across adolescent development. J Appl Dev Psychol. 2015;40:26–37.CrossRef
24.
go back to reference Frydenberg E, Lewis R. Teaching coping to adolescents: when and to whom? Am Educ Res J. 2000;37:727–45.CrossRef Frydenberg E, Lewis R. Teaching coping to adolescents: when and to whom? Am Educ Res J. 2000;37:727–45.CrossRef
25.
go back to reference 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;38:182–94.CrossRef 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;38:182–94.CrossRef
26.
go back to reference 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;39:361–9.PubMedPubMedCentralCrossRef 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;39:361–9.PubMedPubMedCentralCrossRef
27.
go back to reference 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.PubMedPubMedCentralCrossRef 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.PubMedPubMedCentralCrossRef
28.
go back to reference 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.CrossRef 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.CrossRef
30.
go back to reference 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;36:980–8.PubMedCrossRef 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;36:980–8.PubMedCrossRef
31.
go back to reference 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;5:251–62. 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;5:251–62.
32.
go back to reference Reynolds CR, Richmond BO. What I think and feel: a revised measure of children’s manifest anxiety. J Abnorm Child Psychol. 1978;6:271–80.PubMedCrossRef Reynolds CR, Richmond BO. What I think and feel: a revised measure of children’s manifest anxiety. J Abnorm Child Psychol. 1978;6:271–80.PubMedCrossRef
33.
go back to reference 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.PubMedPubMedCentralCrossRef 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.PubMedPubMedCentralCrossRef
34.
go back to reference Stochl J, et al. Mood, anxiety and psychotic phenomena measure a common psychopathological factor. Psychol Med. 2015;45:1483–93.PubMedCrossRef Stochl J, et al. Mood, anxiety and psychotic phenomena measure a common psychopathological factor. Psychol Med. 2015;45:1483–93.PubMedCrossRef
35.
go back to reference 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.PubMedPubMedCentralCrossRef 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.PubMedPubMedCentralCrossRef
36.
go back to reference Goodyer IM, Wright C, Altham PME. Recent friendships in anxious and depressed school age children. Psychol Med. 1989;19:165–74.PubMedCrossRef Goodyer IM, Wright C, Altham PME. Recent friendships in anxious and depressed school age children. Psychol Med. 1989;19:165–74.PubMedCrossRef
37.
go back to reference Epstein NB, Baldwin LM, Bishop DS. The McMaster Family Assessment device. J Marital Fam Ther. 1983;9:171–80.CrossRef Epstein NB, Baldwin LM, Bishop DS. The McMaster Family Assessment device. J Marital Fam Ther. 1983;9:171–80.CrossRef
38.
go back to reference Rosenberg M. Society and the adolescent self-image. Princeton: Princeton University Press; 1965.CrossRef Rosenberg M. Society and the adolescent self-image. Princeton: Princeton University Press; 1965.CrossRef
39.
go back to reference Treynor W, Gonzalez R, Nolen-Hoeksema S. Rumination reconsidered: a psychometric analysis. Cognit Ther Res. 2003;27:247–59.CrossRef Treynor W, Gonzalez R, Nolen-Hoeksema S. Rumination reconsidered: a psychometric analysis. Cognit Ther Res. 2003;27:247–59.CrossRef
40.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
41.
go back to reference 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). 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).
42.
go back to reference American Psychiatric Association. Diagnostic and statistical manual of mental disorders (4th ed., text rev.). (Washington, DC: Author, 2000). American Psychiatric Association. Diagnostic and statistical manual of mental disorders (4th ed., text rev.). (Washington, DC: Author, 2000).
43.
go back to reference 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;54:628–33.CrossRef 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;54:628–33.CrossRef
44.
go back to reference Poythress NG, et al. Internal consistency reliability of the self-report antisocial process screening device. Assessment. 2006;13:107–13.PubMedCrossRef Poythress NG, et al. Internal consistency reliability of the self-report antisocial process screening device. Assessment. 2006;13:107–13.PubMedCrossRef
45.
go back to reference R Core Team. R: A language and environment for statistical computing. 2018 R Core Team. R: A language and environment for statistical computing. 2018
46.
go back to reference van Buren S, Groothuis-Oudshoorn K. mice: multivariate imputation by chained equations in R. J Stat Softw. 2011;45:1–67.CrossRef van Buren S, Groothuis-Oudshoorn K. mice: multivariate imputation by chained equations in R. J Stat Softw. 2011;45:1–67.CrossRef
47.
go back to reference Wu H, Estabrook R. Identification of confirmatory factor analysis models of different levels of invariance for ordered categorical outcomes. Psychometrika. 2016;81:1014–45.PubMedPubMedCentralCrossRef Wu H, Estabrook R. Identification of confirmatory factor analysis models of different levels of invariance for ordered categorical outcomes. Psychometrika. 2016;81:1014–45.PubMedPubMedCentralCrossRef
48.
go back to reference 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. 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.
49.
go back to reference Epskamp S, Fried EI. A tutorial on regularized partial correlation networks. Psychol Methods. 2018;23:617–34.PubMedCrossRef Epskamp S, Fried EI. A tutorial on regularized partial correlation networks. Psychol Methods. 2018;23:617–34.PubMedCrossRef
50.
go back to reference van Borkulo, C. D. Comparing network structures on three aspects: a permutation test (PhD Thesis Chapter 5). Groningen: (University of Groningen; 2018). van Borkulo, C. D. Comparing network structures on three aspects: a permutation test (PhD Thesis Chapter 5). Groningen: (University of Groningen; 2018).
51.
go back to reference 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. 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.
52.
go back to reference Isvoranu A-M, et al. Toward incorporating genetic risk scores into symptom networks of psychosis. Psychol. Med. 2019;1–8. Isvoranu A-M, et al. Toward incorporating genetic risk scores into symptom networks of psychosis. Psychol. Med. 2019;1–8.
53.
go back to reference 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;42:870–3.PubMedPubMedCentralCrossRef 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;42:870–3.PubMedPubMedCentralCrossRef
54.
go back to reference Epskamp S, Borsboom D, Fried EI. Estimating psychological networks and their accuracy : a tutorial paper. Behav Res Methods. 2018;50:195–212.PubMedCrossRef Epskamp S, Borsboom D, Fried EI. Estimating psychological networks and their accuracy : a tutorial paper. Behav Res Methods. 2018;50:195–212.PubMedCrossRef
55.
go back to reference 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.CrossRef 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.CrossRef
56.
57.
go back to reference Friedman NP, et al. Stability and change in executive function abilities from late adolescence to early adulthood: a longitudinal twin study. Dev Psychol. 2016;52:326–40.PubMedPubMedCentralCrossRef Friedman NP, et al. Stability and change in executive function abilities from late adolescence to early adulthood: a longitudinal twin study. Dev Psychol. 2016;52:326–40.PubMedPubMedCentralCrossRef
58.
59.
go back to reference Shanahan L, Copeland WE, Costello EJ, Angold A. Child-, adolescent-and young adult-onset depressions: differential risk factors in development? Psychol Med. 2011;41:2265–74.PubMedPubMedCentralCrossRef Shanahan L, Copeland WE, Costello EJ, Angold A. Child-, adolescent-and young adult-onset depressions: differential risk factors in development? Psychol Med. 2011;41:2265–74.PubMedPubMedCentralCrossRef
60.
go back to reference 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;22:1241–50.PubMedCrossRef 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;22:1241–50.PubMedCrossRef
61.
go back to reference Kievit RA, et al. Mutualistic coupling between vocabulary and reasoning supports cognitive development during late adolescence and early adulthood. Psychol Sci. 2017;28:1419–31.PubMedCrossRef Kievit RA, et al. Mutualistic coupling between vocabulary and reasoning supports cognitive development during late adolescence and early adulthood. Psychol Sci. 2017;28:1419–31.PubMedCrossRef
64.
go back to reference Stochl J, et al. Identifying key targets for interventions to improve psychological wellbeing: replicable results from four UK cohorts. Psychol Med. 2018:1–8. Stochl J, et al. Identifying key targets for interventions to improve psychological wellbeing: replicable results from four UK cohorts. Psychol Med. 2018:1–8.
65.
go back to reference VicHealth. Current theories relating to resilience and young people: a literature review. Melbourne: Victorian Health Promotion Foundation; 2015. VicHealth. Current theories relating to resilience and young people: a literature review. Melbourne: Victorian Health Promotion Foundation; 2015.
Metadata
Title
Unravelling the complex nature of resilience factors and their changes between early and later adolescence
Authors
J. Fritz
J. Stochl
E. I. Fried
I. M. Goodyer
C. D. van Borkulo
P. O. Wilkinson
A.-L. van Harmelen
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Medicine / Issue 1/2019
Electronic ISSN: 1741-7015
DOI
https://doi.org/10.1186/s12916-019-1430-6

Other articles of this Issue 1/2019

BMC Medicine 1/2019 Go to the issue