Factor and network analysis of psychosis-like experiences and depressive symptoms in a sample of Finnish adolescents entering psychiatric services.

adolescents depression symptoms factor analysis network analysis psychotic-like experiences

Journal

Early intervention in psychiatry
ISSN: 1751-7893
Titre abrégé: Early Interv Psychiatry
Pays: Australia
ID NLM: 101320027

Informations de publication

Date de publication:
Dec 2023
Historique:
revised: 28 01 2023
received: 01 10 2022
accepted: 28 03 2023
pubmed: 18 4 2023
medline: 18 4 2023
entrez: 17 4 2023
Statut: ppublish

Résumé

Psychosis-Like Experiences (PLEs) and depressive symptoms are correlated in clinical adolescent populations. However, symptom-level associations between the two phenomena are not clear. We analysed factor structures of a PLE instrument, the Prodromal Questionnaire-Brief (PQ-B), based on dimensions of positive symptoms of schizophrenia, and a depression measurement instrument, the Beck Depression Inventory (BDI-21A) and performed a network analysis of item-level associations between the two measures. The sample consisted of 417 adolescents (range 13-18 years of age, mean 14.9 years, 72.4% females) entering secondary psychiatric services at Helsinki metropolitan area, Finland. Confirmatory factor analysis resulted in adequately fitting 2-factor solution, one for PQ-B and one for BDI-21, with a strong correlation coefficient of 0.605 between the two factors. In the network analysis, PQ-B and BDI-21 both formed their own clusters, and two significant pathways were estimated between PQ-B and BDI-21 clusters: 1. the association between paranoid thinking and distorted body image, and 2. the association between somatic preoccupation and worry about problems of one's mind. Even though on a general, factor level, PLEs and depressive symptoms were strongly correlated, unique associations between symptoms of the two constructs were sparse. These findings should be considered in the psychiatric assessment and in the care of adolescents.

Identifiants

pubmed: 37062875
doi: 10.1111/eip.13417
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1199-1206

Informations de copyright

© 2023 John Wiley & Sons Australia, Ltd.

Références

Asparauhov, T., & Muthén, B. (2020). IRT in Mplus. Version 4. Technical Report. http://www.statmodel.com/download/MplusIRT.pdf
Barrat, A., Barthelemy, M., Pastor-Satorras, R., & Vespignani, A. (2004). The architecture of complex weighted networks. Proceedings of the National Academy of Sciences, 101, 3747-3752. https://doi.org/10.1073/pnas.0400087101
Beck, A. T., Rush, A. J., Shaw, B. F., & Emery, G. (1979). Beck inventory. In Cognitive Therapy of Depression. Guilford Press.
Bringmann, L. F., Elmer, T., Epskamp, S., Krause, R. W., Schoch, D., Wichers, M., Wigman, J. T. W., & Snippe, E. (2019). What do centrality measures measure in psychological networks? Journal of Abnormal Psychology, 128, 892-903. https://doi.org/10.1037/abn0000446
Caspi, A., Houts, R. M., Belsky, D. W., Goldman-Mellor, S. J., Harrington, H., Israel, S., Meier, M. H., Ramrakha, S., Shalev, I., Poulton, R., & Moffitt, T. E. (2014). The p factor: One general psychopathology factor in the structure of psychiatric disorders? Clinical Psychological Science, 2, 119-137. https://doi.org/10.1177/2167702613497473
Chen, J., & Chen, Z. (2008). Extended Bayesian information criteria for model selection with large model spaces. Biometrika, 95, 759-771. https://doi.org/10.1093/biomet/asn034
Costantini, G., & Perugini, M. (2014). Generalization of clustering coefficients to signed correlation networks. PLoS One, 9(2), e88669. https://doi.org/10.1371/journal.pone.0088669
Csardi, G., & Nepusz, T. (2006). The igraph software package for complex network research. International Journal of Complex Systems, 1695(5), 1-9.
De Vylder, J. E., Yang, L. H., Harkavy-Friedman, J. M., Azimov, N., Walder, D. J., & Corcoran, C. M. (2014). Assessing depression in youth at clinical high risk for psychosis: A comparison of three measures. Psychiatry Research, 215(2), 323-328. https://doi.org/10.1016/j.psychres.2013.12.002
Epskamp, S., Borsboom, D., & Fried, E. I. (2018). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods, 50, 195-212.
Gluschkoff, K., Jokela, M., & Rosenström, T. (2019). The general psychopathology factor: Structural stability and generalizability to within-individual changes. Frontiers in Psychiatry, 10, 594.
Huang, C., & Chen, J. H. (2015). Meta-analysis of the factor structures of the Beck Depression Inventory-II. Assessment, 22, 459-472.
Kelleher, I., & Cannon, M. (2021). A neural efficiency-threshold model to understand psychotic experiences. Psychological Medicine, 51(11), 1777-1782. https://doi.org/10.1017/S0033291721001495
Kelleher, I., Connor, D., Clarke, C. M., Devlin, N., Harley, N., & Cannon, M. (2012). Prevalence of psychotic symptoms in childhood and adolescence: A systematic review and meta-analysis of population-based studies. Psychological Medicine, 42(9), 1857-1863. https://doi.org/10.1017/S0033291711002960
Kelleher, I., Devlin, N., Wigman, J. T. W., Kehoe, A., Murtagh, A., Fitzpatrick, C., & Cannon, M. (2014). Psychotic experiences in a mental health clinic sample: Implications for suicidality, multimorbidity and functioning. Psychological Medicine, 44(8), 1615-1624. https://doi.org/10.1017/S0033291713002122
Lindgren, M., Manninen, M., Kalska, H., Mustonen, U., Laajasalo, T., Moilanen, K., Huttunen, M. O., Cannon, T. D., Suvisaari, J., & Therman, S. (2015). Suicidality, self-harm and psychotic-like symptoms in a general adolescent psychiatric sample. Early Intervention in Psychiatry, 11, 113-122. https://doi.org/10.1111/eip.12218
Linscott, R. J., & van Os, J. (2012). An updated and conservative systematic review and meta-analysis of epidemiological evidence on psychotic experiences in children and adults: on the pathway from proneness to persistence to dimensional expression across mental disorders. Psychological Medicine, 43(6), 1133-1149. https://doi.org/10.1017/s0033291712001626
Loewy, R., Johnson, J., & Cannon, T. D. (2007). Self-report of attenuated psychotic experiences in a college population. Schizophrenia Research, 93, 144-151.
Lång, U., Mittal, V. A., Schiffman, J., & Therman, S. (2021). Measurement invariance of psychotic-like symptoms as measured with the Prodromal Questionnaire, Brief Version (PQ-B) in adolescent and adult population samples. Frontiers in Psychiatry, 11, 1570. https://doi.org/10.3389/fpsyt.2020.593355
Lång, U., Ramsay, H., Yates, K., Veijola, J., Gyllenberg, D., Clarke, M. C., Leacy, F. P., Gissler, M., & Kelleher, I. (2022). Potential for prediction of psychosis and bipolar disorder in Child and Adolescent Mental Health Services: A longitudinal register study of all people born in Finland in 1987. World Psychiatry, 21(3), 436-443.
Morrison, A. (2001). The interpretation of intrusions in psychosis: An integrative cognitive approach to hallucinations and delusions. Behavioural and Cognitive Psychotherapy, 29, 257-276.
Nestor, P. G., Hasler, V. C., O'Donovan, K., Lapp, H. E., Boodai, S. B., & Hunter, R. (2021). Psychiatric risk and resilience: Plasticity genes and positive mental health. Brain and Behavior, 11, e02137. https://doi.org/10.1002/brb3.2137
Pons, P., & Latapy, M. (2005). Computing communities in large networks using random walks. In International symposium on computer and information sciences (pp. 284-293). Springer.
R Core Team. (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing. http://www.r-project.org
Rosseel, Y., Oberski, D., Byrnes, J., Vanbrabant, L., Savalei, V., Merkle, E., & Rosseel, M. Y. (2017). Package ‘lavaan’.
Stochl, J., Khandaker, G. M., Lewis, G., Perez, J., Goodyer, I. M., Zammit, S., Sullivan, S., Croudace, T. J., & Jones, P. B. (2015). Mood, anxiety and psychotic phenomena measure a common psychopathological factor. Psychological Medicine, 45, 1483-1493.
Stockings, E., Degenhardt, L., Lee, Y. Y., Mihalopoulos, C., Liu, A., Hobbs, M., & Patton, G. (2015). Symptom screening scales for detecting major depressive disorder in children and adolescents: A systematic review and meta-analysis of reliability, validity and diagnostic utility. Journal of Affective Disorders, 174, 447-463.
Therman, S., & Ziermans, T. B. (2016). Confirmatory factor analysis of psychotic-like experiences in a general population sample. Psychiatry Research, 235, 197-199. https://doi.org/10.1016/j.psychres.2015.12.023
Wigman, J. T., van Nierop, M., Vollebergh, W. A., Lieb, R., Beesdo-Baum, K., Wittchen, H. U., & van Os, J. (2012). Evidence that psychotic symptoms are prevalent in disorders of anxiety and depression, impacting on illness onset, risk, and severity - Implications for diagnosis and ultra-high risk research. Schizophrenia Bulletin, 38(2), 247-257. https://doi.org/10.1093/schbul/sbr196
Xia, Y., & Yang, Y. (2019). RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The story they tell depends on the estimation methods. Behavior Research Methods, 51, 409-428.

Auteurs

Niklas Granö (N)

Faculty of Medicine, Department of Psychiatry, Psychiatry, Helsinki University Hospital, University of Helsinki, Helsinki, Finland.
Department of Psychiatry, Helsinki University Hospital, Helsinki, Finland.

Sakari Lintula (S)

Faculty of Medicine, Department of Psychiatry, Psychiatry, Helsinki University Hospital, University of Helsinki, Helsinki, Finland.

Sebastian Therman (S)

Mental Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland.

Mauri Marttunen (M)

Faculty of Medicine, Department of Psychiatry, Psychiatry, Helsinki University Hospital, University of Helsinki, Helsinki, Finland.

Ulla Lång (U)

Faculty of Medicine, Department of Psychiatry, Psychiatry, Helsinki University Hospital, University of Helsinki, Helsinki, Finland.

Klaus Ranta (K)

Faculty of Social Sciences, University of Tampere, Tampere, Finland.

Classifications MeSH