A Microanalysis of Mood and Self-Reported Functionality in Stroke Patients Using Ecological Momentary Assessment
Copyright © 2022 Forster, Gauggel, Loevenich, Völzke, Petershofer, Zimmermann, Privou, Bonnert and Mainz..
Post-stroke depression has been repeatedly associated with the degree of functional and cognitive impairment. The present study aimed to conduct a microanalysis on this association and examined the association between mood and self-reported functionality in 20 stroke patients (6 females, age: M = 59.9, SD = 5.2) using ecological momentary assessments (EMA), a structured diary method capturing moment-to-moment variations. Mood and self-reported functionality were recorded via a smartphone-app eight times a day for seven consecutive days during inpatient rehabilitation care. The patients answered on average to 73.2% of the received prompts. Variability in patients' responses was caused by differences both between and within patients. Multilevel regression analyses revealed that mood and self-reported functionality were significantly associated at the same point in time, but only patients' mood predicted their self-reported functionality at the next assessment point in time-lagged analyses. These results remained stable after controlling for between-person differences as patients' age, staff-ratings of their awareness of illness, and their degree of functional independence. Patients' mood appeared to affect their future ratings of their functionality but not the other way around.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2022 |
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Erschienen: |
2022 |
Enthalten in: |
Zur Gesamtaufnahme - volume:13 |
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Enthalten in: |
Frontiers in neurology - 13(2022) vom: 29., Seite 854777 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Forster, Saskia D [VerfasserIn] |
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Links: |
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Themen: |
Ecological momentary assessment (EMA) |
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Anmerkungen: |
Date Revised 16.07.2022 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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doi: |
10.3389/fneur.2022.854777 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM341869198 |
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520 | |a Post-stroke depression has been repeatedly associated with the degree of functional and cognitive impairment. The present study aimed to conduct a microanalysis on this association and examined the association between mood and self-reported functionality in 20 stroke patients (6 females, age: M = 59.9, SD = 5.2) using ecological momentary assessments (EMA), a structured diary method capturing moment-to-moment variations. Mood and self-reported functionality were recorded via a smartphone-app eight times a day for seven consecutive days during inpatient rehabilitation care. The patients answered on average to 73.2% of the received prompts. Variability in patients' responses was caused by differences both between and within patients. Multilevel regression analyses revealed that mood and self-reported functionality were significantly associated at the same point in time, but only patients' mood predicted their self-reported functionality at the next assessment point in time-lagged analyses. These results remained stable after controlling for between-person differences as patients' age, staff-ratings of their awareness of illness, and their degree of functional independence. Patients' mood appeared to affect their future ratings of their functionality but not the other way around | ||
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700 | 1 | |a Loevenich, Rebecca |e verfasserin |4 aut | |
700 | 1 | |a Völzke, Volker |e verfasserin |4 aut | |
700 | 1 | |a Petershofer, Axel |e verfasserin |4 aut | |
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700 | 1 | |a Bonnert, Jürgen |e verfasserin |4 aut | |
700 | 1 | |a Mainz, Verena |e verfasserin |4 aut | |
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