نبذة مختصرة : Background: Risk factors of a chronic course of anxiety and depressive disorders were previously studied using a limited definition of recovery, i.e. remission of the index disorder. However, frequently, other mental disorders are present at follow-up. Thus, the course of anxiety and depressive disorders was represented too rosy and the identified determinants may not apply when using a broader, more realistic definition. Additionally, physical health risk factors have often been ignored.
Methods: Data were used from two waves of the Netherlands Mental Health Survey and Incidence Study-2 including 509 respondents with 12-month anxiety disorder (panic disorder, social phobia, agoraphobia or generalized anxiety disorder) or/and major depressive disorder at baseline. Chronic course was defined as (1) presence of index disorder; and (2) presence of any anxiety, mood or substance use disorder (overall course) during the subsequent three years. Regression models were built with sociodemographic, clinical, and lifestyle/physical health indicators. Predictive accuracy was evaluated with area under the curve (AUC).
Results: Chronic course of the index disorder was present among 24.8% of cases, whereas 38.7% had a chronic overall course. The accuracy of prediction of chronic course of the index disorder was suboptimal (AUC = 0.68) compared to prediction of overall course (AUC = 0.75). The main risk factors were baseline number of mental disorders, neuroticism, childhood abuse, parental psychopathology and alcohol use. Lifestyle and physical health indicators were marginally relevant.
Conclusion: Transdiagnostic risk factors are important in predicting overall course of anxiety and depressive disorders but cannot accurately predict chronic course of the index disorder.
(© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.)
References: De Graaf R, Ten Have M, Van Gool C, Van Dorsselaer S (2012) Prevalence of mental disorders and trends from 1996 to 2009. Results from the Netherlands Mental Health Survey and Incidence Study-2. Soc Psychiatry Psychiatr Epidemiol 47(2):203–213. (PMID: 10.1007/s00127-010-0334-821197531)
Kessler RC, Aguilar-Gaxiola S, Alonso J, Chatterji S, Lee S, Üstün TB (2009) The WHO World Mental Health (WMH) Surveys. Psychiatrie (Stuttg). 06(01):5–9. (PMID: 10.1055/s-0038-1671923)
De Graaf R, Tuithof M, Dorsselaer S, Ten Have M (2012) Comparing the effects on work performance of mental and physical disorders. Soc Psychiatry Psychiatr Epidemiol 47(11):1873–1883. (PMID: 10.1007/s00127-012-0496-722434047)
Saarni SI et al (2007) Impact of psychiatric disorders on health-related quality of life: general population survey. Br J Psychiatry 190(4):326–332. (PMID: 10.1192/bjp.bp.106.02510617401039)
Schopman S, Ten Have M, Van Balkom A, De Graaf R, Batelaan N (2021) Course trajectories of anxiety disorders: Results from a 6-year follow-up in a general population study. Aust N Z J Psychiatry 55(11):1049–1057. (PMID: 10.1177/00048674211009625338879788554495)
Rhebergen D et al (2011) The 7-year course of depression and anxiety in the general population. Acta Psychiatr Scand 123(4):297–306. (PMID: 10.1111/j.1600-0447.2011.01677.x21294714)
Hardeveld F, Spijker J, De Graaf R, Nolen WA, Beekman ATF (2013) Recurrence of major depressive disorder and its predictors in the general population: Results from the Netherlands Mental Health Survey and Incidence Study (NEMESIS). Psychol Med 43(1):39–48. (PMID: 10.1017/S003329171200239523111147)
Hoertel N et al (2017) A comprehensive model of predictors of persistence and recurrence in adults with major depression: Results from a national 3-year prospective study. J Psychiatr Res 95:19–27. (PMID: 10.1016/j.jpsychires.2017.07.022287598455653405)
Ten Have M, De Graaf R, Van Dorsselaer S, Tuithof M, Kleinjan M, Penninx B (2018) Recurrence and chronicity of major depressive disorder and their risk indicators in a population cohort. Acta Psychiatr Scand 137(6):503–515. (PMID: 10.1111/acps.1287429577236)
Scholten W, Ten Have M, Van Geel C, Van Balkom A, De Graaf R, Batelaan N (2021) Recurrence of anxiety disorders and its predictors in the general population. Psychol Med 53(4):1334–1342.
Ten Have M et al (2022) How chronic are depressive and anxiety disorders? 9-year general population study using narrow and broad course outcomes. J Affect Disord 317:149–155. (PMID: 10.1016/j.jad.2022.08.08336031004)
Bokma WA et al (2022) Predicting the naturalistic course in anxiety disorders using clinical and biological markers: a machine learning approach. Psychol Med 52(1):57–67. (PMID: 10.1017/S003329172000165832524918)
Penninx BWJH (2017) Depression and cardiovascular disease: epidemiological evidence on their linking mechanisms. Neurosci Biobehav Rev 74:277–286. (PMID: 10.1016/j.neubiorev.2016.07.00327461915)
Penninx BWJH, Milaneschi Y, Lamers F, Vogelzangs N (2013) Understanding the somatic consequences of depression: biological mechanisms and the role of depression symptom profile. BMC Med 11(1):129. (PMID: 10.1186/1741-7015-11-129236726283661358)
De Graaf R, Ten Have M, Van Dorsselaer S (2010) The Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2): design and methods. Int J Methods Psychiatr Res 19(3):125–141. (PMID: 10.1002/mpr.317206410466878518)
Vandenbroucke JP et al (2014) Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and elaboration. Int J Surg 12(12):1500–1524. (PMID: 10.1016/j.ijsu.2014.07.01425046751)
Kessler RC, Üstün TB (2004) The World Mental Health (WMH) Survey Initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI). Int J Methods Psychiatr Res 13(2):93–121. (PMID: 10.1002/mpr.16815297906)
Haro JM et al (2006) Concordance of the Composite International Diagnostic Interview Version 3.0 (CIDI 3.0) with standardized clinical assessments in the WHO World Mental Health Surveys. Int J Methods Psychiatr Res 15(4):167–180. (PMID: 10.1002/mpr.196172660136878271)
Ten Have M et al (2017) Duration of major and minor depressive episodes and associated risk indicators in a psychiatric epidemiological cohort study of the general population. Acta Psychiatr Scand 136(3):300–312. (PMID: 10.1111/acps.1275328512767)
Ten Have M et al (2021) Duration of anxiety disorder and its associated risk indicators: Results of a longitudinal study of the general population. Depress Anxiety 38(3):328–336. (PMID: 10.1002/da.2310333107675)
Ware JE, Sherbourne CD (1992) The MOS 36-ltem Short-Form Health Survey (SF-36): I. Conceptual framework and item selection. Med Care 30(6):473–1992. (PMID: 10.1097/00005650-199206000-000021593914)
Eysenck SBG, Eysenck HJ, Barrett P (1985) A revised version of the psychoticism scale. Pers Individ Dif 6(1):21–29. (PMID: 10.1016/0191-8869(85)90026-1)
Eysenck SBG, Eysenck HJ (1976) Personality and mental illness. Psychol Rep 39:1011–1022. (PMID: 10.2466/pr0.1976.39.3.10111005586)
Brugha T, Bebbington P, Tennant C, Hurry J (1985) The List of Threatening Experiences: a subset of 12 life event categories with considerable long-term contextual threat. Psychol Med 15(1):189–194. (PMID: 10.1017/S003329170002105X3991833)
Hosmer DW, Lemeshow D, Sturdivant RX (2013) Applied Logistic Regression: Third Edition.
Hölzel L, Härter M, Reese C, Kriston L (2011) Risk factors for chronic depression — A systematic review. J Affect Disord 129(1–3):1–13. (PMID: 10.1016/j.jad.2010.03.02520488546)
Hovenkamp-Hermelink JHM, Jeronimus BF, Myroniuk S, Riese H, Schoevers RA (2021) Predictors of persistence of anxiety disorders across the lifespan: a systematic review. Lancet Psychiatry 8(5):428–443. (PMID: 10.1016/S2215-0366(20)30433-833581052)
Henriksen CA, Stein MB, Afifi TO, Enns MW, Lix LM, Sareen J (2015) Identifying factors that predict longitudinal outcomes of untreated common mental disorders. Psychiatr Serv 66(2):163–170. (PMID: 10.1176/appi.ps.20130056425269684)
Verhoeven JE, Verduijn J, van Oppen P, van Schaik A, Vinkers CH, Penninx BWJH (2020) Getting under the skin: Does biology help predict chronicity of depression?. J Affect Disord 274:1013–1021. (PMID: 10.1016/j.jad.2020.05.09832663927)
Shimada-Sugimoto M, Otowa T, Hettema JM (2015) Genetics of anxiety disorders: Genetic epidemiological and molecular studies in humans. Psychiatry Clin Neurosci 69(7):388–401. (PMID: 10.1111/pcn.1229125762210)
Kendall KM et al (2021) The genetic basis of major depression. Psychol Med 51(13):2217–2230. (PMID: 10.1017/S003329172100044133682643)
Craske MG, Zucker BG (2001) Prevention of anxiety disorders: A model for intervention. Appl Prev Psychol 10(3):155–175. (PMID: 10.1016/S0962-1849(01)80012-3)
Otowa T, Gardner CO, Kendler KS, Hettema JM (2013) Parenting and risk for mood, anxiety and substance use disorders: a study in population-based male twins. Soc Psychiatry Psychiatr Epidemiol 48(11):1841–1849. (PMID: 10.1007/s00127-013-0656-4233447833661760)
Kendler KS, Myers J, Prescott CA (2000) Parenting and adult mood, anxiety and substance use disorders in female twins: an epidemiological, multi-informant, retrospective study. Psychol Med 30(2):281–294. (PMID: 10.1017/S003329179900188910824649)
Bosman RC et al (2020) Predicting the course of anxiety disorders: The role of biological parameters. Prog Neuro-Psychopharmacology Biol Psychiatry 101:109924. (PMID: 10.1016/j.pnpbp.2020.109924)
Insel T et al (2010) Research domain criteria (RDoC): toward a new classification framework for research on mental disorders. Am J Psychiatry 167(7):748–751. (PMID: 10.1176/appi.ajp.2010.0909137920595427)
Insel TR (2014) The NIMH Research Domain Criteria (RDoC) Project: Precision Medicine for Psychiatry. Am J Psychiatry 171(4):395–397. (PMID: 10.1176/appi.ajp.2014.1402013824687194)
Kotov R et al (2017) The Hierarchical Taxonomy of Psychopathology (HiTOP): A dimensional alternative to traditional nosologies. J Abnorm Psychol 126(4):454–477. (PMID: 10.1037/abn000025828333488)
Tyrer P, Tyrer H, Guo B (2016) The General Neurotic Syndrome: A Re-Evaluation. Psychother Psychosom 85(4):193–197. (PMID: 10.1159/00044419627230860)
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