Abstract
The nosographic structure of the symptoms of posttraumatic stress disorder (PTSD) remains unclear and this extends to younger age groups. Previous research has shown that adolescents express symptoms of PTSD differently in comparison with adults, highlighting potential differences and particularities of the nosographic structure of PTSD across different developmental stages. The network perspective of mental disorders is a promising approach to clarify the structure of PTSD. This study aims to identify the hierarchical modular structure of the network of PTSD symptoms in adolescents and the role of the different symptoms in that network. A sample collected in a previous study (Guo et al., 2015) of 662 adolescents (Mage = 13.05, SDage = 0.83) exposed to a pipeline explosion was reanalyzed. The PTSD Checklist-Civilian Version (PCL-C) was used to assess symptoms of PTSD. The network of symptoms was estimated with a non-regularized method, and the characterization of the modular structure and the role of symptoms in that network was performed using the ModuLand algorithm. A structure of two levels was found with a first level with 17 symptoms and five high-order modules. The module encompassing the reexperiencing symptoms showed the highest centrality values. Symptoms transversal to various disorders have high values of overlap between modules. Our findings suggest that a modular structure encompassing five modules captures the best representation of the PTSD structure in adolescents.
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Data availability
Data was made available in a previous study performed by Guo and colleagues (2015).
Code availability
The code is available upon request to the authors.
References
American Psychiatric Association. (1980). DSM-III Diagnostic and Statistical Manual of Mental Disorders (3rd ed.). Washington, DC.
American Psychiatric Association. (1994). DSM-IV Diagnostic and Statistical Manual of Mental Disorders (4th ed.). Washington, DC.
American Psychiatric Association. (2013). DSM-5 Diagnostic and Statistical Manual of Mental Disorders (5th ed.). Washington, DC.
Armour, C., Carragher, N., & Elhai, J. D. (2013). Assessing the fit of the Dysphoric Arousal model across two nationally representative epidemiological surveys: The Australian NSMHWB and the United States NESARC. Journal of Anxiety Disorders, 27(1), 109–115. https://doi.org/10.1016/j.janxdis.2012.10.006
Armour, C., Fried, E. I., Deserno, M. K., Tsai, J., & Pietrzak, R. H. (2017). A network analysis of DSM-5 posttraumatic stress disorder symptoms and correlates in U.S. military veterans. Journal of Anxiety Disorders, 45, 49–59. https://doi.org/10.1016/j.janxdis.2016.11.008
Armour, C., Mullerová, J., & Elhai, J. D. (2016). A systematic literature review of PTSD’s latent structure in the Diagnostic and Statistical Manual of Mental Disorders: DSM-IV to DSM-5. Clinical Psychology Review, 44, 60–74. https://doi.org/10.1016/j.cpr.2015.12.003
Ayer, L., Cisler, J. M., Danielson, C. K., Amstadter, A. B., Saunders, B. E., & Kilpatrick, D. G. (2011a). Adolescent posttraumatic stress disorder: An examination of factor structure reliability in two national samples. Journal of Anxiety Disorders, 25(3), 411–421. https://doi.org/10.1016/j.janxdis.2010.11.004
Ayer, L., Danielson, C. K., Amstadter, A. B., Ruggiero, K., Saunders, B., & Killpatrick, D. (2011b). Latent classes of adolescent posttraumatic stress disorder predict functioning and disorder after 1 year. Journal of the American Academy of Child & Adolescent Psychiatry, 50(4), 1–7. https://doi.org/10.1038/jid.2014.371
Bartels, L., Berliner, L., Holt, T., Jensen, T., Jungbluth, N., Plener, P., et al. (2019). The importance of the DSM-5 posttraumatic stress disorder symptoms of cognitions and mood in traumatized children and adolescents: Two network approaches. Journal of Child Psychology and Psychiatry, 60(5), 545–554. https://doi.org/10.1111/jcpp.13009
Becker, S., & Kerig, P. (2011). Posttraumatic stress symptoms are associated with the frequency and severity of delinquency among detained boys. Journal of Clinical Child & Adolescent Psychology, 40(5), 765–771. https://doi.org/10.1080/15374416.2011.597091
Bennett, D. C., Kerig, P. K., Chaplo, S. D., McGee, A. B., & Baucom, B. R. (2014). Validation of the five-factor model of PTSD symptom structure among delinquent youth. Psychological Trauma: Theory, Research, Practice, and Policy, 6(4), 438–447. https://doi.org/10.1037/a0035303
Birkeland, M. S., & Heir, T. (2017). Making connections: Exploring the centrality of posttraumatic stress symptoms and covariates after a terrorist attack. European Journal of Psychotraumatology, 8(3), 1333387. https://doi.org/10.1080/20008198.2017.1333387
Blanken, T. F., Deserno, M. K., Dalege, J., Borsboom, D., Blanken, P., Kerkhof, G. A., & Cramer, A. O. J. (2018). The role of stabilizing and communicating symptoms given overlapping communities in psychopathology networks. Scientific Reports, 8(1), 1–8. https://doi.org/10.1038/s41598-018-24224-2
Borsboom, D. (2017). A network theory of mental disorders. World Psychiatry, 16(1), 5–13. https://doi.org/10.1002/wps.20375
Borsboom, D., & Cramer, A. (2013). Network analysis: An integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9(1), 91–121. https://doi.org/10.1146/annurev-clinpsy-050212-185608
Broman-Fulks, J., Ruggiero, K. J., Green, B., Smith, D., Hanson, R., Killpatrick, D., & Saunders, B. E. (2009). The Latent structure of posttraumatic stress disorder among adolescents. Journal of Traumatic Stress, 22(2), 146–152. https://doi.org/10.1002/jts
Bryant, R. A. (2019). Post-traumatic stress disorder: A state-of-the-art review of evidence and challenges. World Psychiatry, 18(3), 259–269. https://doi.org/10.1002/wps.20656
Bryant, R. A., Creamer, M., O’Donnell, M., Forbes, D., McFarlane, A. C., Silove, D., & Hadzi-Pavlovic, D. (2017). Acute and chronic posttraumatic stress symptoms in the emergence of posttraumatic stress disorder a network analysis. JAMA Psychiatry, 74(2), 135–142. https://doi.org/10.1001/jamapsychiatry.2016.3470
Cao, X., Wang, L., Cao, C., Fang, R., Chen, C., Hall, B. J., & Elhai, J. D. (2019). Sex differences in global and local connectivity of adolescent posttraumatic stress disorder symptoms. Journal of Child Psychology and Psychiatry, 60(2), 216–277. https://doi.org/10.1111/jcpp.12963
Cao, X., Wang, L., Cao, C., Zhang, J., & Elhai, J. D. (2017). DSM-5 posttraumatic stress disorder symptom structure in disaster-exposed adolescents: Stability across gender and relation to behavioral problems. Journal of Abnormal Child Psychology, 45(4), 803–814. https://doi.org/10.1007/s10802-016-0193-1
Castro, D., Ferreira, F., Castro, I., Rodrigues, A., Correia, M., Ribeiro, J., & Ferreira, T. (2019). The differential role of central and bridge symptoms in deactivating psychological networks. Frontiers in Psychology, 10, 2448. https://doi.org/10.3389/fpsyg.2019.02448
Castro, D., Ferreira, F., Mendes, A. S., & Ferreira, T. B. (2018). Bridges between bipolar and borderline personality disorders: Clarifying comorbidity through the analysis of complex network of connections between symptoms. The Psychologist: Practice & Research Journal, 1(1), 30–45. www.psyprjournal.com
Contractor, A., Layne, C., Steinberg, A., Ostrowski, S., Ford, J., & Elhai, J. (2013). Do gender and age moderate the symptom structure of PTSD? Findings from a national clinical sample of children and adolescents. Psychiatric Research, 210, 1056–1064. https://doi.org/10.1016/j.psychres.2013.09.012
Cramer, A. O. J., Waldorp, L. J., Van Der Maas, H. L. J., & Borsboom, D. (2010). Comorbidity: A network perspective. Behavioral and Brain Sciences, 33(2–3), 137–150. https://doi.org/10.1017/S0140525X09991567
Csárdi, G., & Nepusz, T. (2006). The igraph software package for complex network research. InterJournal of Complex Systems, 5, 1–9. https://igraph.org/
Curtiss, J., & Klemanski, D. H. (2016). Taxonicity and network structure of generalized anxiety disorder and major depressive disorder: An admixture analysis and complex network analysis. Journal of Affective Disorders, 199, 99–105. https://doi.org/10.1016/j.jad.2016.04.007
De Haan, A., Landolt, M., Fried, E., Kleinke, K., Alisic, E., Bryant, R., et al. (2020). Dysfunctional posttraumatic cognitions, posttraumatic stress and depression in children and adolescents exposed to trauma: A network analysis. The Journal of Child Psychology and Psychiatry, 61(1), 77–87. https://doi.org/10.1111/jcpp.13101
Dempsey, M., Overstreet, S., & Moely, B. (2000). “Approach” and “Avoidance” coping and PTSD symptoms in inner-city youth. Current Psychology, 19(1), 28–45. https://doi.org/10.1007/s12144-000-1002-z
Denton, R., Frogley, C., Jackson, S., John, M., & Querstret, D. (2017). The assessment of developmental trauma in children and adolescents: A systematic review. Clinical Child Psychology and Psychiatric, 22(2), 260–287. https://doi.org/10.1177/135910451663607
Doric, A., Stevanovic, D., Stupar, D., Vostanis, P., Atilola, O., Moreira, P., et al. (2019). UCLA PTSD reaction index for DSM-5 PTSD RI 5 a psychometric study of adolescents sampled from communities in eleven countries. European Journal of Psychotraumatology, 10(1), 1605282. https://doi.org/10.1080/20008198.2019.1605282
Elhai, J. D., & Palmieri, P. A. (2011). The factor structure of posttraumatic stress disorder: A literature update, critique of methodology, and agenda for future research. Journal of Anxiety Disorders, 25(6), 849–854. https://doi.org/10.1016/j.janxdis.2011.04.007
Elhai, J. D., Engdahl, R. M., Palmieri, P. A., Naifeh, J. A., Schweinle, A., & Jacobs, G. A. (2009). Assessing posttraumatic stress disorder with or without reference to a single, worst traumatic event: Examining differences in factor structure. Psychological Assessment, 21(4), 629–634. https://doi.org/10.1037/a0016677
Epskamp, S., Borsboom, D., & Fried, E. I. (2018). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods, 50(1), 195–212. https://doi.org/10.3758/s13428-017-0862-1
Epskamp, S., Cramer, A. O. J., Waldorp, L. J., Schmittmann, V. D., & Borsboom, D. (2012). Qgraph: Network visualizations of relationships in psychometric data. Journal of Statistical Software, 48(4). https://doi.org/10.18637/jss.v048.i04
Fortunato, S., & Hric, D. (2016). Community detection in networks: A user guide. Physics Reports, 659, 1–44. https://doi.org/10.1016/j.physrep.2016.09.002
Fried, E. I., Eidhof, M. B., Palic, S., Costantini, G., Huisman-van Dijk, H. M., Bockting, C. L. H., et al. (2018). Replicability and Generalizability of Posttraumatic Stress Disorder (PTSD) Networks: A Cross-Cultural Multisite Study of PTSD Symptoms in Four Trauma Patient Samples. Clinical Psychological Science, 6(3), 335–351. https://doi.org/10.1177/2167702617745092
Gregorowski, C., & Seedat, S. (2013). Addressing childhood trauma in developmental context. Journal of Child and Adolescent Mental Health, 25(2), 105–118. https://doi.org/10.2989/17280583.2013.795154
Guo, W., Xue, J. M., Shao, D., Long, Z. T., & Cao, F. L. (2015). Effect of the interplay between trauma severity and trait neuroticism on posttraumatic stress disorder symptoms among adolescents exposed to a pipeline explosion. PLoS ONE, 10(3), 1–14. https://doi.org/10.1371/journal.pone.0120493
Haravuori, H., Kiviruusu, O., Suomalainen, L., & Marttunen, M. (2016). An evaluation of ICD-11 posttraumatic stress disorder criteria in two samples of adolescents and young adults exposed to mass shootings: Factor analysis and comparisons to ICD-10 and DSM-IV. BMC Psychiatry, 16(1), 1–10. https://doi.org/10.1186/s12888-016-0849-y
Hawkins, S., & Radcliffe, J. (2006). Current measures of PTSD in children and adolescents. Journal of Pediatric Psychology, 31(4), 420–430. https://doi.org/10.1093/jpepsy/jsj039
Hetzel-Riggin, M. D., & Harbke, C. R. (2014). Hierarchical convergence of PTSD symptom clusters: A comparison of the numbing, dysphoria, and dysphoric arousal models of PTSD. Traumatology, 20(4), 302–312. https://doi.org/10.1037/h0099857
Jin, Y., Liu, D., & Guan, W. (2014). Symptoms of posttraumatic stress disorder and anxiety among adolescents following the 2010 Yushu earthquake. Journal of Psychiatry, 18(1). https://doi.org/10.4172/2378-5756.1000193
Jones, P. J., Ma, R., & McNally, R. J. (2019). Bridge centrality: A network approach to understanding comorbidity. Multivariate Behavioral Research, 1–15. https://doi.org/10.1080/00273171.2019.1614898
Kelley, L., Weathers, F., McDevitt-Murphy, M., Eakin, D., & Flood, A. (2009). A comparison of PTSD symptom patterns in three types of civilian trauma. Journal of Traumatic Stress, 22(3), 227–235. https://doi.org/10.1002/jts.20406
Kessler, R., Aguilar-Axiola, S., Alonso, J., Benjet, C., Bromet, E., Cardoso, G., et al. (2017). Trauma and PTSD in the WHO World Mental Health Surveys. European Journal of Psychotraumatology, 8(5), 1353383. https://doi.org/10.1080/20008198.2017.1353383
King, D. W., King, L. A., Leskin, G. A., & Weathers, F. W. (1998). Confirmatory factor analysis of the clinician-administered PTSD scale: Evidence for the dimensionality of posttraumatic stress disorder. Psychological Assessment, 10(2), 90–96. https://doi.org/10.1037/1040-3590.10.2.90
Koenders, M. A., de Kleijn, R., Giltay, E. J., Elzinga, B. M., Spinhoven, P., & Spijker, A. T. (2015). A network approach to bipolar symptomatology in patients with different course types. PLoS ONE, 10(10), 1–16. https://doi.org/10.1371/journal.pone.0141420
Kolaitis, G. (2017). Trauma and post-traumatic stress disorder in children and adolescents. European Journal of Psychotraumatology, 8(4), 1351198. https://doi.org/10.1080/20008198.2017.1351198
Kovács, I. A., Palotai, R., Szalay, M. S., & Csermely, P. (2010). Community landscapes: An integrative approach to determine overlapping network module hierarchy, identify key nodes and predict network dynamics. PLoS ONE, 5(9), 1–14. https://doi.org/10.1371/journal.pone.0012528
Lee, D. J., Bovin, M. J., Weathers, F. W., Palmieri, P. A., Schnurr, P. P., Sloan, D. M., et al. (2019). Latent factor structure of DSM-5 posttraumatic stress disorder: Evaluation of method variance and construct validity of novel symptom clusters. Psychological Assessment, 31(1), 46–58. https://doi.org/10.1037/pas0000642
Levinson, C. A., Zerwas, S., Calebs, B., Forbush, K., Kordy, H., Watson, H., et al. (2017). The core symptoms of bulimia nervosa, anxiety and depression: A network analysis. Journal of Abnormal Psychology, 126(3), 340–354. https://doi.org/10.1037/abn0000254
Liu, P., Wang, L., Cao, C., Wang, R., Zhang, J., Zhang, B., Wu, Q., Zhang, H., Zhao, Z., Fan, G., & Elhai, J. D. (2014). The underlying dimensions of DSM-5 posttraumatic stress disorder symptoms in an epidemiological sample of Chinese earthquake survivors. Journal of Anxiety Disorders, 28, 345–351. https://doi.org/10.1016/j.janxdis.2014.03.008
Marshall, G. N., Schell, T. L., & Miles, J. N. V. (2013). A multi-sample confirmatory factor analysis of PTSD symptoms: What exactly is wrong with the DSM-IV structure? Clinical Psychology Review, 33(1), 54–66. https://doi.org/10.1016/j.cpr.2012.10.004
McNally, R. J. (2012). The ontology of posttraumatic stress disorder: Natural kind, social construction, or causal system? Clinical Psychology: Science and Practice, 19(3), 220–228. https://doi.org/10.1111/cpsp.12001
McNally, R. J., Robinaugh, D. J., Wu, G. W. Y., Wang, L., Deserno, M. K., & Borsboom, D. (2014). Mental disorders as causal systems: A network approach to posttraumatic stress disorder. Clinical Psychological Science, 3(6), 836–849. https://doi.org/10.1177/2167702614553230
Mitchell, R., Brennan, K., Curran, D., Hanna, D., & Dayer, W. (2017). A meta-analysis of the association between appraisals of trauma and posttraumatic stress in children and adolescents. Journal of Traumatic Stress, 30(1), 88–93. https://doi.org/10.1002/jts.22157
Nkyi, A. (2015). Posttraumatic stress disorder in children and adolescence. Indian Journal of Health and Wellbeing, 6(10), 1028–1032. http://www.iahrw.com/
Olff, M., Langeland, W., Draijer, N., & Gersons, B. (2007). Gender differences in posttraumatic stress disorder. Psychological Bulletin, 133(2), 183–204. https://doi.org/10.1037/0033-2909.133.2.183
Opsahl, T., Agneessens, F., & Skvoretz, J. (2010). Node centrality in weighted networks: Generalizing degree and shortest paths. Social Networks, 30(3), 245–251. https://doi.org/10.1016/j.socnet.2010.03.006
Pfeiffer, E., Sukale, T., Muller, L., Plener, P., Rosner, R., Fegert, J., et al. (2019). The symptom representation of posttraumatic stress disorder in a sample of unaccompanied and accompanied refugee minors in Germany: A network analysis. European Journal of Psychotraumatology, 10, 1675990. https://doi.org/10.1080/20008198.2019.1675990
Price, M., Legrand, A. C., Brier, Z. M. F., & Hébert-Dufresne, L. (2019). The symptoms at the center: Examining the comorbidity of posttraumatic stress disorder, generalized anxiety disorder, and depression with network analysis. Journal of Psychiatric Research, 109, 52–58. https://doi.org/10.1016/j.jpsychires.2018.11.016
Pynoos, R., Steinberg, A., Layne, C., Briggs, E., Ostrowski, S., & Fairbank, J. (2009). DSM-IV PTSD Diagnostic Criteria for Children and Adolescents: A developmental perspective and recommendations. Journal of Traumatic Stress, 22(5), 391–398. https://doi.org/10.1002/jts.20450
Ross, J., Armour, C., Kerig, P., Kidwell, M., & Kilshaw, R. (2020). A network analysis of posttraumatic stress disorder and dissociation in trauma exposed adolescents. Journal of Anxiety Disorders, 72, 102222. https://doi.org/10.1016/j.janxdis.2020.102222
Ross, J., Murphy, D., & Armour, C. (2018). A network analysis of DSM-5 posttraumatic stress disorder and functional impairment in UK treatment-seeking veterans. Journal of Anxiety Disorders, 57, 7–15. https://doi.org/10.1016/j.janxdis.2018.05.007
Russell, J. D., Neill, E. L., Carrión, V. G., & Weems, C. F. (2017). The network structure of posttraumatic stress symptoms in children and adolescents exposed to disasters. Journal of the American Academy of Child and Adolescent Psychiatry, 56(8), 669-677.e5. https://doi.org/10.1016/j.jaac.2017.05.021
Sachser, C., Berliner, L., Holt, T., Jensen, T., Jungbluth, N., Risch, E., et al. (2018). Comparing the dimensional structure and diagnostic algorithms between DSM-5 and ICD-11 PTSD in children and adolescents. European Child and Adolescent Psychiatry, 27(2), 181–190. https://doi.org/10.1007/s00787-017-1032-9
Saigh, P., Yasik, A., Oberfield, R., Halamandaris, P., & McHugh, M. (2002). An analysis of the internalizing and externalizing behaviors of traumatized urban youth with and without PTSD. Journal of Abnormal Psychology, 111(3), 462–470. https://doi.org/10.1037//0021-843X.111.3.462
Sandhu, K., Li, G., Poh, H., Quek, Y., Sai, Y., Peh, S., et al. (2012). Large-scale functional organization of long-range chromatin interaction networks. Cell Reports, 2, 1207–1219. https://doi.org/10.1016/j.celrep.2012.09.022
Saul, A. L., Grant, K. E., & Carter, J. S. (2008). Post-traumatic reactions in adolescents: How well do the DSM-IV PTSD criteria fit the real-life experience of trauma exposed youth? Journal of Abnormal Child Psychology, 36(6), 915–925. https://doi.org/10.1007/s10802-008-9222-z
Scheering, M., Zeananh, C., & Cohen, J. (2011). PTSD in children and adolescents: Towards an empirically based algorithm. Depression and Anxiety, 28(9), 770–782. https://doi.org/10.1002/da.20736
Shannon, P., Markiel, A., Ozier, O., Baliga, N., Wang, J., Ramage, D., et al. (2003). Cytoscape: A Software Environment for Integrated Models. Genome Research, 13(22), 2468–2504. https://doi.org/10.1101/gr.1239303.metabolite
Simms, L. J., Watson, D., & Doebbeling, B. N. (2002). Confirmatory factor analyses of posttraumatic stress symptoms in deployed and nondeployed veterans of the Gulf war. Journal of Abnormal Psychology, 111(4), 637–647. https://doi.org/10.1037/0021-843X.111.4.637
Smith, K. E., Mason, T. B., Crosby, R. D., Cao, L., Leonard, R. C., Wetterneck, C. T., et al. (2019). A comparative network analysis of eating disorder psychopathology and co-occurring depression and anxiety symptoms before and after treatment. Psychological Medicine, 49(2), 314–324. https://doi.org/10.1017/S0033291718000867
Sumner, J. A., Pietrzak, R. H., Danielson, C. K., Adams, Z. W., & Ruggiero, K. J. (2014). Elucidating dimensions of posttraumatic stress symptoms and their functional correlates in disaster-exposed adolescents. Journal of Psychiatric Research, 59, 85–92. https://doi.org/10.1016/j.jpsychires.2014.09.003
Szalay-Bekó, M., Palotai, R., Szappanos, B., Kóvacs, I., Pápps, B., & Csermeley, P. (2012). ModuLand Plug-in for cytoscape: Determination of hierarchical layers of overlapping network modules and community centrality. Bioinformatics, 28(16), 2202–2204. https://doi.org/10.1093/bioinformatics/bts352
Tian, Y., Wong, T., Li, J., & Jiang, X. (2014). Posttraumatic stress disorder and its risks factors among adolescent survivors three years after an 80 magnitude earthquake in China. BMC Public Health, 14, 1073. https://doi.org/10.1186/1471-2458-14-1073
Tsai, J., Harpaz-Rotem, I., Armour, C., Southwick, S. M., Krystal, J. H., & Pietrzak, R. H. (2015). Dimensional structure of DSM-5 posttraumatic stress disorder symptoms: Results from the national health and resilience in veterans’ study. Journal Clinical Psychiatry, 76, 546–553. https://doi.org/10.4088/JCP.14m09091
Wang, L., Long, D., Li, Z., & Armour, C. (2011a). Posttraumatic stress disorder structure in Chinese adolescents exposed to a deadly earthquake. Journal of Abnormal Psychology, 39, 749–758. https://doi.org/10.1007/s10802-011-9508-4
Wang, L., Zhang, J., Shi, Z., Zhou, M., Li, Z., Zhang, K., et al. (2011). Comparing alternative factor models of PTSD symptoms across earthquake victims and violent riot witnesses in China: Evidence for a five-factor model proposed by Elhai et al 2011. Journal of Anxiety Disorders, 25(6), 771–776. https://doi.org/10.1016/j.janxdis.2011.03.011
Wang, M., Armour, C., Li, X., Dai, X., Zhu, X., & Yao, S. (2013a). The factorial invariance across gender of three well supported models: Further evidence for a five-factor model of posttraumatic stress disorder. Journal of Nervous Mental Disorder, 201, 145–152. https://doi.org/10.1097/NMD.0b013e31827f627d
Wang, R., Wang, L., Li, Z., Cao, C., Shi, Z., & Zhang, J. (2013b). Latent structure of posttraumatic stress disorder symptoms in an adolescent sample one month after an earthquake. Journal of Adolescence, 36(4), 717–725. https://doi.org/10.1016/j.adolescence.2013.05.008
Watson, D. (2005). Rethinking the mood and anxiety disorders: A quantitative hierarchical model for DSM-V. Journal of Abnormal Psychology, 114(4), 522–536. https://doi.org/10.1037/0021-843X.114.4.522
Weathers, F., Litz, B., Herman, D., Huska, J., & Keane, T. (1993). The PTSD Checklist (PCL): Reliability, validity and diagnostic utility. In 9th Annual Meeting of the International Society for Traumatic Stress Studies. San Antonio, Texas.
Wichers, M., & Groot, P. C. (2016). Critical Slowing Down as a Personalized Early Warning Signal for Depression. Psychotherapy and Psychosomatics, 85(2), 114–116. https://doi.org/10.1159/000441458
Williams, D. R., Rhemtulla, M., Wysocki, A. C., & Rast, P. (2019). On Nonregularized Estimation of Psychological Networks. Multivariate Behavioral Research, 54(5), 719–750. https://doi.org/10.1080/00273171.2019.1575716
Woodward, E., Viana, A., Trent, E., Raines, E., Zvolensky, M., & Storch, E. (2020). Emotional nonacceptance, distraction coping and PTSD symptoms in trauma exposed adolescent inpatient sample. Cognitive Therapy and Research, 44, 412–419. https://doi.org/10.1007/s10608-019-10065-4
World Health Organization. (2018). International statistical classification of diseases and related health problems (11th revision). Retrieved from https://icd.who.int/browse11/l-m/en#/http%3a%2f%2fid.who.int%2ficd%2fentity%2f2070699808. Accessed 12 Nov 2018
Xiaoyun, Y., Hongai, Y., & Qigui, L. (2007). The research on the reliability and validity of PCL-C and influence factors. China Journal of Health Psychology, 15, 6–9. http://en.cnki.com.cn/Article_en/CJFDTotal-JKXL200701003.htm
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This study was funded by the Center for Psychology at the University of Porto, Portuguese Foundation for Science and Technology (FCT UIDB/00050/2020) and EU FEDER through COMPETE 2020 program (POCI-01–0145-FEDER-007294).
The first author is supported by the Portuguese Foundation for Science and Technology through the PhD grant: SFRH/BD/133231/2017.
The second author is supported by the Portuguese Foundation for Science and Technology through the PhD grant: SFRH/BD/148884/2019.
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Ferreira, F., Castro, D. & Ferreira, T.B. The modular structure of posttraumatic stress disorder in adolescents. Curr Psychol 42, 13252–13264 (2023). https://doi.org/10.1007/s12144-021-02538-1
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DOI: https://doi.org/10.1007/s12144-021-02538-1