Predictors of adherence to exercise interventions in people with schizophrenia.
Adherence
Exercise
Machine learning
Randomized-controlled trial
Schizophrenia
Journal
European archives of psychiatry and clinical neuroscience
ISSN: 1433-8491
Titre abrégé: Eur Arch Psychiatry Clin Neurosci
Pays: Germany
ID NLM: 9103030
Informations de publication
Date de publication:
29 Mar 2024
29 Mar 2024
Historique:
received:
04
10
2023
accepted:
24
02
2024
medline:
29
3
2024
pubmed:
29
3
2024
entrez:
29
3
2024
Statut:
aheadofprint
Résumé
Exercise interventions are nowadays considered as effective add-on treatments in people with schizophrenia but are usually associated with high dropout rates. Therefore, the present study investigated potential predictors of adherence from a large multicenter study, encompassing two types of exercise training, conducted over a 6-month period with individuals with schizophrenia. First, we examined the role of multiple participants' characteristics, including levels of functioning, symptom severity, cognitive performance, quality of life, and physical fitness. Second, we used K-means clustering to identify clinical subgroups of participants that potentially exhibited superior adherence. Last, we explored if adherence could be predicted on the individual level using Random Forest, Logistic Regression, and Ridge Regression. We found that individuals with higher levels of functioning at baseline were more likely to adhere to the exercise interventions, while other factors such as symptom severity, cognitive performance, quality of life or physical fitness seemed to be less influential. Accordingly, the high-functioning group with low symptoms exhibited a greater likelihood of adhering to the interventions compared to the severely ill group. Despite incorporating various algorithms, it was not possible to predict adherence at the individual level. These findings add to the understanding of the factors that influence adherence to exercise interventions. They underscore the predictive importance of daily life functioning while indicating a lack of association between symptom severity and adherence. Future research should focus on developing targeted strategies to improve adherence, particularly for people with schizophrenia who suffer from impairments in daily functioning.Clinical trials registration The study of this manuscript which the manuscript is based was registered in the International Clinical Trials Database, ClinicalTrials.gov (NCT number: NCT03466112, https://clinicaltrials.gov/ct2/show/NCT03466112?term=NCT03466112&draw=2&rank=1 ) and in the German Clinical Trials Register (DRKS-ID: DRKS00009804.
Identifiants
pubmed: 38551773
doi: 10.1007/s00406-024-01789-w
pii: 10.1007/s00406-024-01789-w
doi:
Banques de données
ClinicalTrials.gov
['NCT03466112']
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Bundesministerium für Bildung und Forschung
ID : 01EE1407E
Organisme : Bundesministerium für Bildung und Forschung
ID : 01EE2303A
Organisme : Bundesministerium für Bildung und Forschung
ID : 01EE2303F
Organisme : Bundesministerium für Bildung und Forschung
ID : 01EE2303C
Informations de copyright
© 2024. The Author(s).
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