OBJECTIVE: To study the longitudinal patterns of subjective wellbeing in schizophrenia using cluster analysis and their relation to recovery criteria, further to examine predictors for cluster affiliation, and to evaluate the sensitivity and specificity of baseline subjective wellbeing cut-offs for cluster affiliation. METHODS: Data was collected in an observational 36-month follow-up study of 2842 patients with schizophrenia in Germany. Subjective wellbeing was assessed using the SWN-K scale. Cluster analyses were applied based on Ward's procedure. Predictors were analyzed using logistic regression models. Optimal SWN-K total score cut-off points for cluster affiliation were analyzed using Cohen's kappa. RESULTS: 4 distinct clusters were identified: a stable low (33%), a stable moderate (31%), a stable high (16%), and a cluster with distinct initial improvement and then stable high subjective wellbeing (20%). Highly concordant patterns were also observed for symptoms, social functioning, and quality of life. Sensitivity and specificity of SWN-K total score cut-offs at baseline were 82.8% and 63.8% for <or=60 points for the stable low cluster and 84.7% and 95.4% for >or=80 points for the stable high cluster. Affiliation to the stable low cluster was related to a 0.6% chance of being in recovery at 3-year endpoint. CONCLUSIONS: Long-term patterns of subjective wellbeing are stable and highly concordant with course of symptoms, functioning level, and quality of life. Baseline subjective wellbeing cut-off points were found to be sufficient predictors of outcome, which, particularly in case of impaired subjective wellbeing and low baseline functioning level, make early treatment adaptations mandatory.
OBJECTIVE: To study the longitudinal patterns of subjective wellbeing in schizophrenia using cluster analysis and their relation to recovery criteria, further to examine predictors for cluster affiliation, and to evaluate the sensitivity and specificity of baseline subjective wellbeing cut-offs for cluster affiliation. METHODS: Data was collected in an observational 36-month follow-up study of 2842 patients with schizophrenia in Germany. Subjective wellbeing was assessed using the SWN-K scale. Cluster analyses were applied based on Ward's procedure. Predictors were analyzed using logistic regression models. Optimal SWN-K total score cut-off points for cluster affiliation were analyzed using Cohen's kappa. RESULTS: 4 distinct clusters were identified: a stable low (33%), a stable moderate (31%), a stable high (16%), and a cluster with distinct initial improvement and then stable high subjective wellbeing (20%). Highly concordant patterns were also observed for symptoms, social functioning, and quality of life. Sensitivity and specificity of SWN-K total score cut-offs at baseline were 82.8% and 63.8% for <or=60 points for the stable low cluster and 84.7% and 95.4% for >or=80 points for the stable high cluster. Affiliation to the stable low cluster was related to a 0.6% chance of being in recovery at 3-year endpoint. CONCLUSIONS: Long-term patterns of subjective wellbeing are stable and highly concordant with course of symptoms, functioning level, and quality of life. Baseline subjective wellbeing cut-off points were found to be sufficient predictors of outcome, which, particularly in case of impaired subjective wellbeing and low baseline functioning level, make early treatment adaptations mandatory.
Authors: Christian G Widschwendter; Georg Kemmler; Maria A Rettenbacher; Nursen Yalcin-Siedentopf; Alex Hofer Journal: BMC Psychiatry Date: 2018-06-28 Impact factor: 3.630
Authors: Dominic B Dwyer; Janos L Kalman; Monika Budde; Joseph Kambeitz; Anne Ruef; Linda A Antonucci; Lana Kambeitz-Ilankovic; Alkomiet Hasan; Ivan Kondofersky; Heike Anderson-Schmidt; Katrin Gade; Daniela Reich-Erkelenz; Kristina Adorjan; Fanny Senner; Sabrina Schaupp; Till F M Andlauer; Ashley L Comes; Eva C Schulte; Farah Klöhn-Saghatolislam; Anna Gryaznova; Maria Hake; Kim Bartholdi; Laura Flatau-Nagel; Markus Reitt; Silke Quast; Sophia Stegmaier; Milena Meyers; Barbara Emons; Ida Sybille Haußleiter; Georg Juckel; Vanessa Nieratschker; Udo Dannlowski; Tomoya Yoshida; Max Schmauß; Jörg Zimmermann; Jens Reimer; Jens Wiltfang; Eva Reininghaus; Ion-George Anghelescu; Volker Arolt; Bernhard T Baune; Carsten Konrad; Andreas Thiel; Andreas J Fallgatter; Christian Figge; Martin von Hagen; Manfred Koller; Fabian U Lang; Moritz E Wigand; Thomas Becker; Markus Jäger; Detlef E Dietrich; Harald Scherk; Carsten Spitzer; Here Folkerts; Stephanie H Witt; Franziska Degenhardt; Andreas J Forstner; Marcella Rietschel; Markus M Nöthen; Nikola Mueller; Sergi Papiol; Urs Heilbronner; Peter Falkai; Thomas G Schulze; Nikolaos Koutsouleris Journal: JAMA Psychiatry Date: 2020-05-01 Impact factor: 21.596
Authors: Peter Huxley; Anne Krayer; Rob Poole; Louise Prendergast; Sanjaya Aryal; Richard Warner Journal: Brain Behav Date: 2021-05-15 Impact factor: 2.708
Authors: Sofia Brissos; Pedro Afonso; Fernando Cañas; Julio Bobes; Ivan Bernardo Fernandez; Carlos Guzman Journal: Schizophr Res Treatment Date: 2013-10-27