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Understanding Lifelong Factors and Prediction Models of Social Functioning After Psychosis Onset Using the Large-Scale GROUP Cohort Study

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Title: Understanding Lifelong Factors and Prediction Models of Social Functioning After Psychosis Onset Using the Large-Scale GROUP Cohort Study
Authors: Natalia Tiles-Sar, Tesfa Dejenie Habtewold, Edith J Liemburg, Lisette van der Meer, Richard Bruggeman, Behrooz Z Alizadeh, Therese van Amelsvoort, Agna A Bartels-Velthuis, Lieuwe de Haan, Frederike Schirmbeck, Claudia J P Simons, Jim van Os
Contributors: Hart- en Vaatziekten Team A, Genetica, Hersenen-Medisch 1, Brain
Source: Schizophr Bull
Publisher Information: Oxford University Press (OUP), 2023.
Publication Year: 2023
Subject Terms: Outcome Assessment, association, mixed-effect model/trajectories, Social Interaction, 3. Good health, schizophrenia, Health Care, Cohort Studies, Psychiatry and Mental health, Psychotic Disorders, Outcome Assessment, Health Care, follow-up, Psychotic Disorders/complications, Humans, Social Adjustment, Regular Articles
Description: Background and hypothesisCurrent rates of poor social functioning (SF) in people with psychosis history reach 80% worldwide. We aimed to identify a core set of lifelong predictors and build prediction models of SF after psychosis onset.Study designWe utilized data of 1119 patients from the Genetic Risk and Outcome in Psychosis (GROUP) longitudinal Dutch cohort. First, we applied group-based trajectory modeling to identify premorbid adjustment trajectories. We further investigated the association between the premorbid adjustment trajectories, six-year-long cognitive deficits, positive, and negative symptoms trajectories, and SF at 3-year and 6-year follow-ups. Next, we checked associations between demographics, clinical, and environmental factors measured at the baseline and SF at follow-up. Finally, we built and internally validated 2 predictive models of SF.Study resultsWe found all trajectories were significantly associated with SF (P < .01), explaining up to 16% of SF variation (R2 0.15 for 3- and 0.16 for 6-year follow-up). Demographics (sex, ethnicity, age, education), clinical parameters (genetic predisposition, illness duration, psychotic episodes, cannabis use), and environment (childhood trauma, number of moves, marriage, employment, urbanicity, unmet needs of social support) were also significantly associated with SF. After validation, final prediction models explained a variance up to 27% (95% CI: 0.23, 0.30) at 3-year and 26% (95% CI: 0.22, 0.31) at 6-year follow-up.ConclusionsWe found a core set of lifelong predictors of SF. Yet, the performance of our prediction models was moderate.
Document Type: Article
Other literature type
File Description: application/pdf
Language: English
ISSN: 1745-1701
0586-7614
DOI: 10.1093/schbul/sbad046
Access URL: https://pubmed.ncbi.nlm.nih.gov/37104875
https://research.rug.nl/en/publications/3d0bccd0-11be-4842-9900-3c707b64b759
https://doi.org/10.1093/schbul/sbad046
https://hdl.handle.net/11370/3d0bccd0-11be-4842-9900-3c707b64b759
https://cris.maastrichtuniversity.nl/en/publications/00560b34-a5f4-4516-bc65-f1585110feeb
https://doi.org/10.1093/schbul/sbad046
https://dspace.library.uu.nl/handle/1874/451165
https://pure.amsterdamumc.nl/en/publications/85c52243-7c0f-4611-bc60-f4eb34a288ac
https://doi.org/10.1093/schbul/sbad046
Rights: CC BY
URL: http://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Accession Number: edsair.doi.dedup.....b51d0cdce5749464d5a3746b9cce11b6
Database: OpenAIRE
Description
Abstract:Background and hypothesisCurrent rates of poor social functioning (SF) in people with psychosis history reach 80% worldwide. We aimed to identify a core set of lifelong predictors and build prediction models of SF after psychosis onset.Study designWe utilized data of 1119 patients from the Genetic Risk and Outcome in Psychosis (GROUP) longitudinal Dutch cohort. First, we applied group-based trajectory modeling to identify premorbid adjustment trajectories. We further investigated the association between the premorbid adjustment trajectories, six-year-long cognitive deficits, positive, and negative symptoms trajectories, and SF at 3-year and 6-year follow-ups. Next, we checked associations between demographics, clinical, and environmental factors measured at the baseline and SF at follow-up. Finally, we built and internally validated 2 predictive models of SF.Study resultsWe found all trajectories were significantly associated with SF (P < .01), explaining up to 16% of SF variation (R2 0.15 for 3- and 0.16 for 6-year follow-up). Demographics (sex, ethnicity, age, education), clinical parameters (genetic predisposition, illness duration, psychotic episodes, cannabis use), and environment (childhood trauma, number of moves, marriage, employment, urbanicity, unmet needs of social support) were also significantly associated with SF. After validation, final prediction models explained a variance up to 27% (95% CI: 0.23, 0.30) at 3-year and 26% (95% CI: 0.22, 0.31) at 6-year follow-up.ConclusionsWe found a core set of lifelong predictors of SF. Yet, the performance of our prediction models was moderate.
ISSN:17451701
05867614
DOI:10.1093/schbul/sbad046