Predictors for wellbeing and characteristics of mental health after stroke

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Predictors for wellbeing and characteristics of mental health after stroke. / Damsbo, Andreas Gammelgaard; Kraglund, Kristian Lundsgaard; Buttenschøn, Henriette Nørmølle; Johnsen, Søren Paaske; Andersen, Grethe; Mortensen, Janne Kaergaard.

I: Journal of Affective Disorders, Bind 264, 03.2020, s. 358-364.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

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Damsbo, Andreas Gammelgaard o.a.. "Predictors for wellbeing and characteristics of mental health after stroke". Journal of Affective Disorders. 2020, 264. 358-364. https://doi.org/10.1016/j.jad.2019.12.032

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Author

Damsbo, Andreas Gammelgaard ; Kraglund, Kristian Lundsgaard ; Buttenschøn, Henriette Nørmølle ; Johnsen, Søren Paaske ; Andersen, Grethe ; Mortensen, Janne Kaergaard. / Predictors for wellbeing and characteristics of mental health after stroke. I: Journal of Affective Disorders. 2020 ; Bind 264. s. 358-364.

Bibtex

@article{5eb9cfe51a5f412d8e53a34e3d1a8922,
title = "Predictors for wellbeing and characteristics of mental health after stroke",
abstract = "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.",
keywords = "5-HTT-linked polymorphic region, Fatigue, Ischemic stroke, Post-stroke depression, Wellbeing, World Health Organization 5-Item Wellbeing Index",
author = "Damsbo, {Andreas Gammelgaard} and Kraglund, {Kristian Lundsgaard} and Buttensch{\o}n, {Henriette N{\o}rm{\o}lle} and Johnsen, {S{\o}ren Paaske} and Grethe Andersen and Mortensen, {Janne Kaergaard}",
year = "2020",
month = mar,
doi = "10.1016/j.jad.2019.12.032",
language = "English",
volume = "264",
pages = "358--364",
journal = "Journal of Affective Disorders",
issn = "0165-0327",
publisher = "Elsevier BV",

}

RIS

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

AN - SCOPUS:85078023118

VL - 264

SP - 358

EP - 364

JO - Journal of Affective Disorders

JF - Journal of Affective Disorders

SN - 0165-0327

ER -