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Predictors of adherence to exercise interventions in people with schizophrenia.

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Title: Predictors of adherence to exercise interventions in people with schizophrenia.
Authors: Schwaiger, Rebecca (AUTHOR), Maurus, Isabel (AUTHOR), Lembeck, Moritz (AUTHOR), Papazova, Irina (AUTHOR), Greska, David (AUTHOR), Muenz, Susanne (AUTHOR), Sykorova, Eliska (AUTHOR), Thieme, Cristina E. (AUTHOR), Vogel, Bob O. (AUTHOR), Mohnke, Sebastian (AUTHOR), Huppertz, Charlotte (AUTHOR), Roeh, Astrid (AUTHOR), Keller-Varady, Katriona (AUTHOR), Malchow, Berend (AUTHOR), Walter, Henrik (AUTHOR), Wolfarth, Bernd (AUTHOR), Wölwer, Wolfgang (AUTHOR), Henkel, Karsten (AUTHOR), Hirjak, Dusan (AUTHOR), Schmitt, Andrea (AUTHOR)
Source: European Archives of Psychiatry & Clinical Neuroscience. Sep2024, Vol. 274 Issue 6, p1265-1276. 12p.
Subjects: Clinical trial registries, Exercise therapy, People with schizophrenia, Physical fitness, K-means clustering
Abstract: 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. [ABSTRACT FROM AUTHOR]
Copyright of European Archives of Psychiatry & Clinical Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Predictors of adherence to exercise interventions in people with schizophrenia.
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  Data: <searchLink fieldCode="JN" term="%22European+Archives+of+Psychiatry+%26+Clinical+Neuroscience%22">European Archives of Psychiatry & Clinical Neuroscience</searchLink>. Sep2024, Vol. 274 Issue 6, p1265-1276. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Clinical+trial+registries%22">Clinical trial registries</searchLink><br /><searchLink fieldCode="DE" term="%22Exercise+therapy%22">Exercise therapy</searchLink><br /><searchLink fieldCode="DE" term="%22People+with+schizophrenia%22">People with schizophrenia</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+fitness%22">Physical fitness</searchLink><br /><searchLink fieldCode="DE" term="%22K-means+clustering%22">K-means clustering</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of European Archives of Psychiatry & Clinical Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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