TY - JOUR
T1 - Predictors for wellbeing and characteristics of mental health after stroke
AU - Damsbo, Andreas Gammelgaard
AU - Kraglund, Kristian Lundsgaard
AU - Buttenschøn, Henriette Nørmølle
AU - Johnsen, Søren Paaske
AU - Andersen, Grethe
AU - Mortensen, Janne Kaergaard
PY - 2020/3
Y1 - 2020/3
N2 - BACKGROUND: Poor mental health after stroke is common and complex. We aimed to identify predictors of poor wellbeing and to examine the overlap of poor wellbeing, fatigue, and depression.METHOD: Consecutive first-ever ischemic stroke-patients filled in questionnaires on wellbeing, fatigue, and depression at baseline and at one and six months. The World Health Organization 5-Item Wellbeing-Index (WHO-5), the Major Depression Inventory, and the Multidimensional Fatigue Inventory were used. Patients were genotyped according to serotonin-transporter gene polymorphisms. Multivariable logistic regression was used to identify potential predictors of poor wellbeing (WHO-5 score <50). Overlap between wellbeing, fatigue, and depression was examined using an Euler diagram.RESULTS: We included 919 patients. The prevalence of poor wellbeing was 279 (30.4%) six months after stroke. Living alone at stroke onset was the strongest predictor of poor wellbeing with a mutually adjusted odds ratio of 1.53 (95% confidence interval (CI): 1.03 to 2.28) at one month and 1.77 (CI: 1.13 to 2.76) at six months. Severe stroke at admission also predicted poor wellbeing at six months. Abnormal fatigue occurred in half and incorporated almost all patients with poor wellbeing. Less than 5% fulfilled the criteria for depression at any point and almost all of these patients had poor wellbeing and abnormal fatigue. Antidepressants were used by 292 (31.8%) during follow-up.LIMITATIONS: Cognitive impairment was not measured and could interact with wellbeing post-stroke.CONCLUSION: Living alone strongly predicted poor wellbeing after stroke. Satisfactory mental health-recovery seems to require psychosocial interventions when indicated in combination with antidepressant treatment.
AB - BACKGROUND: Poor mental health after stroke is common and complex. We aimed to identify predictors of poor wellbeing and to examine the overlap of poor wellbeing, fatigue, and depression.METHOD: Consecutive first-ever ischemic stroke-patients filled in questionnaires on wellbeing, fatigue, and depression at baseline and at one and six months. The World Health Organization 5-Item Wellbeing-Index (WHO-5), the Major Depression Inventory, and the Multidimensional Fatigue Inventory were used. Patients were genotyped according to serotonin-transporter gene polymorphisms. Multivariable logistic regression was used to identify potential predictors of poor wellbeing (WHO-5 score <50). Overlap between wellbeing, fatigue, and depression was examined using an Euler diagram.RESULTS: We included 919 patients. The prevalence of poor wellbeing was 279 (30.4%) six months after stroke. Living alone at stroke onset was the strongest predictor of poor wellbeing with a mutually adjusted odds ratio of 1.53 (95% confidence interval (CI): 1.03 to 2.28) at one month and 1.77 (CI: 1.13 to 2.76) at six months. Severe stroke at admission also predicted poor wellbeing at six months. Abnormal fatigue occurred in half and incorporated almost all patients with poor wellbeing. Less than 5% fulfilled the criteria for depression at any point and almost all of these patients had poor wellbeing and abnormal fatigue. Antidepressants were used by 292 (31.8%) during follow-up.LIMITATIONS: Cognitive impairment was not measured and could interact with wellbeing post-stroke.CONCLUSION: Living alone strongly predicted poor wellbeing after stroke. Satisfactory mental health-recovery seems to require psychosocial interventions when indicated in combination with antidepressant treatment.
KW - 5-HTT-linked polymorphic region
KW - Fatigue
KW - Ischemic stroke
KW - Post-stroke depression
KW - Wellbeing
KW - World Health Organization 5-Item Wellbeing Index
UR - http://www.scopus.com/inward/record.url?scp=85078023118&partnerID=8YFLogxK
U2 - 10.1016/j.jad.2019.12.032
DO - 10.1016/j.jad.2019.12.032
M3 - Journal article
C2 - 32056772
SN - 0165-0327
VL - 264
SP - 358
EP - 364
JO - Journal of Affective Disorders
JF - Journal of Affective Disorders
ER -