An intersectional perspective on the sociodemographic and clinical factors influencing the status of not in Education, Employment, or training (NEET) in patients with first-episode psychosis (FEP).

Decision tree model Functional deterioration Intersectionality Schizophrenia Social categories Youth

Journal

Social psychiatry and psychiatric epidemiology
ISSN: 1433-9285
Titre abrégé: Soc Psychiatry Psychiatr Epidemiol
Pays: Germany
ID NLM: 8804358

Informations de publication

Date de publication:
09 Aug 2024
Historique:
received: 07 02 2024
accepted: 21 07 2024
medline: 9 8 2024
pubmed: 9 8 2024
entrez: 9 8 2024
Statut: aheadofprint

Résumé

High rates of Not in Education, Employment or Training (NEET) are seen in people with first episode of psychosis (FEP). Sociodemographic and clinical factors were reported to be associated with NEET status in FEP patients. This study follows Intersectionality to examine the independent and additive effects, and most importantly the intersections of sociodemographic and clinical variables concerning NEET status in FEP patients. It was hypothesized that NEET status in FEP patients would be described by the intersection between at least two predictor variables. Secondary analyses with chi-square tests, multiple logistic regression and Chi-squared Automatic Interaction Detection (CHAID) analyses were performed on 440 participants with FEP. Chi-square tests indicated that patient socioeconomic status and negative symptom severity were significantly and independently associated with their NEET status. Multiple logistic regression suggested additive effects of age (odds ratio = 1.61), patient socioeconomic status (odds ratio = 1.55) and negative symptom severity (odds ratio = 1.75) in predicting patients' NEET status. CHAID detected an intersection between patients' negative symptom severity and socioeconomic status in shaping their NEET status. This study explored how the NEET status of patients with FEP was explained not only by the separate effects of negative symptom severity and socioeconomic status but also by the unique intersections of their clinical and social identities. Findings indicated that functional outcomes of patients appear co-constructed by the intersections of multiple identities. Crucial clinical implications of complementing care for negative symptom severity with vocational resources to improve functional outcomes of patients are discussed.

Identifiants

pubmed: 39120714
doi: 10.1007/s00127-024-02732-z
pii: 10.1007/s00127-024-02732-z
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.

Références

Association AP (2020) The American Psychiatric Association practice guideline for the treatment of patients with schizophrenia. Am Psychiatric Pub. https://doi.org/10.1176/appi.books.9780890424841
doi: 10.1176/appi.books.9780890424841
Global Burden of Disease Study C (2015) Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the global burden of Disease Study 2013. Lancet 386(9995):743–800. https://doi.org/10.1016/S0140-6736(15)60692-4
doi: 10.1016/S0140-6736(15)60692-4
Breitborde NJ, Srihari VH, Woods SW (2009) Review of the operational definition for first-episode psychosis. Early Interv Psychiatry 3(4):259–265. https://doi.org/10.1111/j.1751-7893.2009.00148.x
doi: 10.1111/j.1751-7893.2009.00148.x pubmed: 22642728 pmcid: 4451818
Goulding SM, Chien VH, Compton MT (2010) Prevalence and correlates of school drop-out prior to initial treatment of nonaffective psychosis: further evidence suggesting a need for supported education. Schizophr Res 116(2–3):228–233. https://doi.org/10.1016/j.schres.2009.09.006
doi: 10.1016/j.schres.2009.09.006 pubmed: 19783405
Mueser KT, Salyers MP, Mueser PR (2001) A prospective analysis of work in schizophrenia. Schizophr Bull 27(2):281–296. https://doi.org/10.1093/oxfordjournals.schbul.a006874
doi: 10.1093/oxfordjournals.schbul.a006874 pubmed: 11354595
Rinaldi M, Killackey E, Smith J, Shepherd G, Singh SP, Craig T (2010) First episode psychosis and employment: a review. Int Rev Psychiatry 22(2):148–162. https://doi.org/10.3109/09540261003661825
doi: 10.3109/09540261003661825 pubmed: 20504055
Great Britain C, Office, Social Exclusion Unit (1999) Bridging the gap: new opportunities for 16–18 year olds not in education, employment or training. http://hdl.voced.edu.au/10707/368704
Statistics Canada (2023) Youth not in employment, education, or training (NEET). https://www160.statcan.gc.ca/prosperity-prosperite/neet-eng.htm
OECD (2023) Youth and the labour market. https://doi.org/10.1787/7b765a3b-en
Wewiorski NJ, Fabian ES (2004) Association between demographic and diagnostic factors and employment outcomes for people with psychiatric disabilities: a synthesis of recent research. Ment Health Serv Res 6(1):9–21. https://doi.org/10.1023/b:mhsr.0000011253.36712.15
doi: 10.1023/b:mhsr.0000011253.36712.15 pubmed: 15002677
Honkonen T, Stengård E, Virtanen M, Salokangas RK (2007) Employment predictors for discharged schizophrenia patients. Soc Psychiatry Psychiatr Epidemiol 42(5):372–380. https://doi.org/10.1007/s00127-007-0180-5
doi: 10.1007/s00127-007-0180-5 pubmed: 17492406
Salkever DS, Karakus MC, Slade EP, Harding CM, Hough RL, Rosenheck RA, Swartz MS, Barrio C, Yamada AM (2007) Measures and predictors of community-based employment and earnings of persons with schizophrenia in a multisite study. Psychiatr Serv 58(3):315–324. https://doi.org/10.1176/ps.2007.58.3.315
doi: 10.1176/ps.2007.58.3.315 pubmed: 17325103
Üçok A, Gorwood P, Karadayi G, EGOFORS (2012) Employment and its relationship with functionality and quality of life in patients with schizophrenia: EGOFORS Study. Eur Psychiat 27(6):422–425. https://doi.org/10.1016/j.eurpsy.2011.01.014
doi: 10.1016/j.eurpsy.2011.01.014
Ang MS, Rekhi G, Lee J (2020) Vocational Profile and correlates of employment in people with Schizophrenia: the role of Avolition. Front Psychiatry 11:856. https://doi.org/10.3389/fpsyt.2020.00856
doi: 10.3389/fpsyt.2020.00856 pubmed: 33192630 pmcid: 7481460
Yildiz M, Kaytaz Yilmaz BN, Incedere A, Abut FB, Aydin AO, Sarandöl A, Örüm TGY, Kurt A, Erşan EE (2019) Rates and correlates of employment in patients with schizophrenia: a multicenter study in Turkey. Int J Soc Psychiatry 65(3):235–243. https://doi.org/10.1177/0020764019839082
doi: 10.1177/0020764019839082 pubmed: 30915879
Marwaha S, Johnson S (2004) Schizophrenia and employment - a review. Soc Psychiatry Psychiatr Epidemiol 39(5):337–349. https://doi.org/10.1007/s00127-004-0762-4
doi: 10.1007/s00127-004-0762-4 pubmed: 15133589
Nordt C, Müller B, Rössler W, Lauber C (2007) Predictors and course of vocational status, income, and quality of life in people with severe mental illness: a naturalistic study. Soc Sci Med 65(7):1420–1429. https://doi.org/10.1016/j.socscimed.2007.05.024
doi: 10.1016/j.socscimed.2007.05.024 pubmed: 17583402
Slade E, Salkever D (2001) Symptom effects on employment in a structural model of mental illness and treatment: analysis of patients with schizophrenia. J Ment Health Policy Econ 4(1):25–34
pubmed: 11967463
Birindelli N, Castagna F, Giugiario M, Graffino M, Mingrone C, Sandei L, Rocca P (2012) [Competitive employment in schizophrenia: clinical and neuropsychological correlates and quality of life]. Riv Psichiatr 47(2):89–95. https://doi.org/10.1708/1069.11713
doi: 10.1708/1069.11713 pubmed: 22622245
Fujino H, Sumiyoshi C, Sumiyoshi T, Yasuda Y, Yamamori H, Ohi K, Fujimoto M, Hashimoto R, Takeda M, Imura O (2016) Predicting employment status and subjective quality of life in patients with schizophrenia. Schizophr Res Cogn 3:20–25. https://doi.org/10.1016/j.scog.2015.10.005
doi: 10.1016/j.scog.2015.10.005 pubmed: 28740804
Strassnig M, Cornacchio D, Harvey PD, Kotov R, Fochtmann L, Bromet EJ (2017) Health status and mobility limitations are associated with residential and employment status in schizophrenia and bipolar disorder. J Psychiatr Res 94:180–185. https://doi.org/10.1016/j.jpsychires.2017.07.011
doi: 10.1016/j.jpsychires.2017.07.011 pubmed: 28743064 pmcid: 5605443
Iyer S, Mustafa S, Gariépy G, Shah J, Joober R, Lepage M, Malla A (2018) A NEET distinction: youths not in employment, education or training follow different pathways to illness and care in psychosis. Soc Psychiatry Psychiatr Epidemiol 53(12):1401–1411. https://doi.org/10.1007/s00127-018-1565-3
doi: 10.1007/s00127-018-1565-3 pubmed: 30094632 pmcid: 6267132
Crenshaw K (1989) Demarginalizing the intersection of race and sex: a black feminist critique of antidiscrimination doctrine, feminist theory, and antiracist politics. u Chi Legal f
Columbia Law School (2017) Kimberlé Crenshaw on Intersectionality, More than Two Decades Later. https://www.law.columbia.edu/news/archive/kimberle-crenshaw-intersectionality-more-two-decades-later
Rutherford A, Davidson T (2019) Intersectionality and the history of psychology. In: Oxford research encyclopedia of psychology. https://doi.org/10.1093/acrefore/9780190236557.013.468
U.S. District Court for the Eastern District of Missouri (1976) DeGraffenreid v. GENERAL MOTORS ASSEMBLY DIV., ETC., vol 413 F
Hodes C (2017) Intersectionality in the Canadian courts: in search of a decolonial politics of possibility. Crit Stud Gend Cult Social Justice 38:71–82
Ontario Human Rights Commission (2001) AN INTERSECTIONAL APPROACH TO DISCRIMINATION: Addressing Multiple Grounds in Human Rights Claims. https://www.ohrc.on.ca/en/intersectional-approach-discrimination-addressing-multiple-grounds-human-rights-claims
Else-Quest NM, Hyde JS (2016) Intersectionality in quantitative psychological research: I. Theoretical and epistemological issues. Psychol Women Quart 40(2):155–170. https://doi.org/10.1177/0361684316629797
doi: 10.1177/0361684316629797
Hampson M, Hicks R, Watt B (2016) Understanding the employment barriers and support needs of people living with psychosis. Qualitative Rep 21(5). https://doi.org/10.46743/2160-3715/2016.2397
Nithsdale V, Davies J, Croucher P (2008) Psychosis and the experience of employment. J Occup Rehabil 18:175–182. https://doi.org/10.1007/s10926-008-9131-6
doi: 10.1007/s10926-008-9131-6 pubmed: 18401690
Iyer S, Jordan G, MacDonald K, Joober R, Malla A (2015) Early intervention for psychosis: a Canadian perspective. J Nerv Ment Dis 203(5):356–364. https://doi.org/10.1097/NMD.0000000000000288
doi: 10.1097/NMD.0000000000000288 pubmed: 25900548
Strauss JS, Carpenter WT Jr (1977) Prediction of outcome in schizophrenia. III. Five-year outcome and its predictors. Arch Gen Psychiatry 34(2):159–163. https://doi.org/10.1001/archpsyc.1977.01770140049005
doi: 10.1001/archpsyc.1977.01770140049005 pubmed: 843175
Statistics Canada (2017) Age categories, life cycle groupings. https://www.statcan.gc.ca/en/concepts/definitions/age2
Statistics Canada (2022) Visible minority and population group reference guide, census of population, 2021. https://www12.statcan.gc.ca/census-recensement/2021/ref/98-500/006/98-500-x2021006-eng.cfm
Hollingshead AB, Frederick C (1964) Social class and mental illness: a community study. Am Behav Sci 8(3):30–30. https://doi.org/10.1177/000276426400800314
doi: 10.1177/000276426400800314
Hollingshead A (2011) Four factor index of Social Status. Yale J Sociol 8:21–52
Andreasen NC (1984) Scale for the assessment of positive symptoms (SAPS). Psychiatrie & Psychobiologie. https://doi.org/10.1037/t48377-000
Andreasen NC (1983) Scale for the assessment of negative symptoms (SANS)
Andreasen NC (1989) The Scale for the Assessment of negative symptoms (SANS): conceptual and theoretical foundations. Br J Psychiatry Suppl (7):49–58
Grot S, Giguere CE, Smine S, Mongeau-Perusse V, Nguyen DD, Preda A, Potvin S, van Erp TGM, Orban P (2021) Converting scores between the PANSS and SAPS/SANS beyond the positive/negative dichotomy. Psychiat Res 305. https://doi.org/10.1016/j.psychres.2021.114199
Andreasen NC (1982) Negative symptoms in schizophrenia. Definition and reliability. Arch Gen Psychiatry 39(7):784–788. https://doi.org/10.1001/archpsyc.1982.04290070020005
doi: 10.1001/archpsyc.1982.04290070020005 pubmed: 7165477
Wickham H, Averick M, Bryan J, Chang W, McGowan LDA, François R, Grolemund G, Hayes A, Henry L, Hester J (2019) Welcome to the Tidyverse. J Open Source Softw 4(43):1686. https://doi.org/10.21105/joss.01686
doi: 10.21105/joss.01686
Wickham H, François R, Henry L, Müller K, Vaughan D (2023) dplyr: A Grammar of Data Manipulation
Wickham H, Miller E, Smith D (2023) haven: Import and Export ‘SPSS’. ‘Stata’ and ‘SAS’ Files
R Core Team (2018) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria
Hughes RA, Heron J, Sterne JAC, Tilling K (2019) Accounting for missing data in statistical analyses: multiple imputation is not always the answer. Int J Epidemiol 48(4):1294–1304. https://doi.org/10.1093/ije/dyz032
doi: 10.1093/ije/dyz032 pubmed: 30879056 pmcid: 6693809
Mack C, Su Z, Westreich D (2018) Managing missing data in patient registries: addendum to registries for evaluating patient outcomes: a user’s guide
Heymans MW, Twisk JW (2022) Handling missing data in clinical research. J Clin Epidemiol 151:185–188
doi: 10.1016/j.jclinepi.2022.08.016 pubmed: 36150546
IBM Corp (2023) IBM SPSS Statistics for Macintosh, Version 29.0. Armonk. IBM Corp, NY
Ranganathan P, Pramesh CS, Aggarwal R (2017) Common pitfalls in statistical analysis: logistic regression. Perspect Clin Res 8(3):148–151. https://doi.org/10.4103/picr.PICR_87_17
doi: 10.4103/picr.PICR_87_17 pubmed: 28828311 pmcid: 5543767
Harris JK (2021) Primer on binary logistic regression. Fam Med Community Health 9(Suppl 1). https://doi.org/10.1136/fmch-2021-001290
Kass GV (1980) An exploratory technique for investigating large quantities of categorical data. J Roy Stat Soc: Ser C (Appl Stat) 29(2):119–127. https://doi.org/10.2307/2986296
doi: 10.2307/2986296
Wilkinson L (1992) Tree structured data analysis. AID, CHAID and CART
Weiss SM, Indurkhya N (1998) Predictive data mining: a practical guide. Morgan Kaufmann
Lee SJ, Siau K (2001) A review of data mining techniques. Industrial Manage Data Syst 101(1):41–46. https://doi.org/10.1108/02635570110365989
doi: 10.1108/02635570110365989
Althuwaynee OF, Pradhan B, Park HJ, Lee JH (2014) A novel ensemble decision tree-based CHi-squared Automatic Interaction Detection (CHAID) and multivariate logistic regression models in landslide susceptibility mapping. Landslides 11(6):1063–1078. https://doi.org/10.1007/s10346-014-0466-0
doi: 10.1007/s10346-014-0466-0
IBM Corporation (2024) CHAID node. https://www.ibm.com/docs/en/cloud-paks/cp-data/4.8.x?topic=modeling-chaid-node
Bauer GR, Churchill SM, Mahendran M, Walwyn C, Lizotte D, Villa-Rueda AA (2021) Intersectionality in quantitative research: a systematic review of its emergence and applications of theory and methods. SSM Popul Health 14:100798. https://doi.org/10.1016/j.ssmph.2021.100798
doi: 10.1016/j.ssmph.2021.100798 pubmed: 33997247 pmcid: 8095182
IBM Corp (2023) IBM SPSS statistics for Windows, Version 29.0. Armonk. IBM Corp, NY
Manstead ASR (2018) The psychology of social class: how socioeconomic status impacts thought, feelings, and behaviour. Br J Soc Psychol 57(2):267–291. https://doi.org/10.1111/bjso.12251
doi: 10.1111/bjso.12251 pubmed: 29492984 pmcid: 5901394
Wohlfarth T (1997) Socioeconomic inequality and psychopathology: are socioeconomic status and social class interchangeable? Soc Sci Med 45(3):399–410. https://doi.org/10.1016/s0277-9536(96)00355-3
doi: 10.1016/s0277-9536(96)00355-3 pubmed: 9232734
Leucht S, Arbter D, Engel RR, Kissling W, Davis JM (2009) How effective are second-generation antipsychotic drugs? A meta-analysis of placebo-controlled trials. Mol Psychiatry 14(4):429–447. https://doi.org/10.1038/sj.mp.4002136
doi: 10.1038/sj.mp.4002136 pubmed: 18180760
Leucht S, Leucht C, Huhn M, Chaimani A, Mavridis D, Helfer B, Samara M, Rabaioli M, Bacher S, Cipriani A, Geddes JR, Salanti G, Davis JM (2017) Sixty years of Placebo-controlled antipsychotic drug trials in Acute Schizophrenia: systematic review, bayesian Meta-analysis, and Meta-regression of efficacy predictors. Am J Psychiatry 174(10):927–942. https://doi.org/10.1176/appi.ajp.2017.16121358
doi: 10.1176/appi.ajp.2017.16121358 pubmed: 28541090
Elis O, Caponigro JM, Kring AM (2013) Psychosocial treatments for negative symptoms in schizophrenia: current practices and future directions. Clin Psychol Rev 33(8):914–928. https://doi.org/10.1016/j.cpr.2013.07.001
doi: 10.1016/j.cpr.2013.07.001 pubmed: 23988452 pmcid: 4092118
Angoff HD, McGraw JS, Docherty M (2021) Intersecting identities and nonsuicidal self-injury among youth. Identity 21(2):98–114. https://doi.org/10.1080/15283488.2020.1863216
doi: 10.1080/15283488.2020.1863216
Cole ER (2009) Intersectionality and research in psychology. Am Psychol 64(3):170–180. https://doi.org/10.1037/a0014564
doi: 10.1037/a0014564 pubmed: 19348518
Ringbom I, Suvisaari J, Kaariala A, Sourander A, Gissler M, Kelleher I, Gyllenberg D (2023) Psychotic disorders in Adolescence and later long-term Exclusion from Education and Employment. Schizophr Bull 49(1):90–98. https://doi.org/10.1093/schbul/sbac151
doi: 10.1093/schbul/sbac151 pubmed: 36305161
Corbiere M, Lecomte T (2009) Vocational services offered to people with severe mental illness. J Mental Health 18(1):38–50. https://doi.org/10.1080/09638230701677779
doi: 10.1080/09638230701677779
Wilton R, Evans J (2018) Accounting for context: social enterprises and meaningful employment for people with mental illness. Work 61(4):561–574. https://doi.org/10.3233/WOR-182826
doi: 10.3233/WOR-182826 pubmed: 30507599
Chua YC, Abdin E, Tang C, Subramaniam M, Verma S (2019) First-episode psychosis and vocational outcomes: a predictive model. Schizophr Res 211:63–68. https://doi.org/10.1016/j.schres.2019.07.009
doi: 10.1016/j.schres.2019.07.009 pubmed: 31327504
Gariépy G, Danna SM, Hawke L, Henderson J, Iyer SN (2022) The mental health of young people who are not in education, employment, or training: a systematic review and meta-analysis. Soc Psychiatry Psychiatr Epidemiol 57(6):1107–1121. https://doi.org/10.1007/s00127-021-02212-8
doi: 10.1007/s00127-021-02212-8 pubmed: 34931257
Şata M, Elkonca F (2020) A comparison of classification performances between the methods of logistics regression and chaid analysis in accordance with sample size. Int J Contemp Educational Res 7(2):15–26. https://doi.org/10.33200/ijcer.733720
doi: 10.33200/ijcer.733720

Auteurs

Jiaxuan Deng (J)

Douglas Research Centre, Montreal, QC, Canada.
Department of Psychiatry, McGill University, Montreal, QC, Canada.

Lisa Sarraf (L)

Department of Psychology, Carleton University, Ottawa, ON, Canada.

Adèle Hotte-Meunier (A)

Douglas Research Centre, Montreal, QC, Canada.
Department of Sexology, Université du Québec À Montréal, Montreal, QC, Canada.

Stéphanie El Asmar (S)

Douglas Research Centre, Montreal, QC, Canada.

Jai Shah (J)

Douglas Research Centre, Montreal, QC, Canada.
Department of Psychiatry, McGill University, Montreal, QC, Canada.
Douglas Mental Health University Institute Prevention and Early Intervention Program for Psychosis Montréal, Montreal, QC, Canada.

Ridha Joober (R)

Douglas Research Centre, Montreal, QC, Canada.
Department of Psychiatry, McGill University, Montreal, QC, Canada.
Douglas Mental Health University Institute Prevention and Early Intervention Program for Psychosis Montréal, Montreal, QC, Canada.

Ashok Malla (A)

Douglas Research Centre, Montreal, QC, Canada.
Department of Psychiatry, McGill University, Montreal, QC, Canada.
Douglas Mental Health University Institute Prevention and Early Intervention Program for Psychosis Montréal, Montreal, QC, Canada.
Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.

Srividya Iyer (S)

Douglas Research Centre, Montreal, QC, Canada.
Department of Psychiatry, McGill University, Montreal, QC, Canada.
Douglas Mental Health University Institute Prevention and Early Intervention Program for Psychosis Montréal, Montreal, QC, Canada.
Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.

Martin Lepage (M)

Douglas Research Centre, Montreal, QC, Canada.
Department of Psychiatry, McGill University, Montreal, QC, Canada.
Douglas Mental Health University Institute Prevention and Early Intervention Program for Psychosis Montréal, Montreal, QC, Canada.
Department of Psychology, McGill University, Montreal, Canada.

Geneviève Sauvé (G)

Douglas Research Centre, Montreal, QC, Canada. sauve.genevieve@uqam.ca.
Department of Education and Pedagogy - Career Counseling, Université du Québec À Montréal, Montreal, QC, Canada. sauve.genevieve@uqam.ca.

Classifications MeSH