Predictors of adherence to exercise interventions in people with schizophrenia

• DOI: 10.1007/s00406-024-01789-w
• Publication Date: 2024-03-29T06:02:12Z
• Authors: Rebecca Schwaiger; Isabel Maurus; Moritz Lembeck; Irina Papazova; David Greska; Susanne Muenz; Eliska Sykorova; Cristina E. Thieme; Bob O. Vogel; Sebastian Mohnke; Charlotte Huppertz; Astrid Roeh; Katriona Keller-V...; Berend Malchow; Henrik Walter; Bernd Wolfarth; Wolfgang Wölwer; Karsten Henkel; Dusan Hirjak; Andrea Schmitt; Alkomiet Hasan; Andreas Meyer-Lin...; Peter Falkai; Lukas Roell
• Keywords: Affect

Abstract Exercise interventions are nowadays considered as effective add-on treatments in people with schizophrenia but usually associated high dropout rates. Therefore, the present study investigated potential predictors of adherence from a large multicenter study, encompassing two types exercise training, conducted over 6-month period individuals schizophrenia. First, we examined role multiple participants’ characteristics, including levels functioning, symptom severity, cognitive performance, quality life, and physical fitness. Second, used K -means clustering to identify clinical subgroups participants that potentially exhibited superior adherence. Last, explored if could be predicted on individual level using Random Forest, Logistic Regression, Ridge Regression. We found higher functioning at baseline were more likely adhere interventions, while other factors such life or fitness seemed less influential. Accordingly, high-functioning group low symptoms greater likelihood adhering compared severely ill group. Despite incorporating various algorithms, it was not possible predict level. These findings add understanding influence interventions. They underscore predictive importance daily indicating lack association between severity Future research should focus developing targeted strategies improve adherence, particularly for who suffer impairments functioning. Clinical trials registration The this manuscript which is based registered International Trials Database, ClinicalTrials.gov (NCT number: NCT03466112, https://clinicaltrials.gov/ct2/show/NCT03466112?term=NCT03466112&draw=2&rank=1 ) German Register (DRKS-ID: DRKS00009804.