Real-Time Assessment of Fatigue in Patients With Multiple Sclerosis: How Does It Relate to Commonly Used Self-Report Fatigue Questionnaires?
Arch Phys Med Rehabil
; 97(11): 1887-1894.e1, 2016 11.
Article
em En
| MEDLINE
| ID: mdl-27233157
ABSTRACT
OBJECTIVES:
(1) To assess real-time patterns of fatigue; (2) to assess the association between a real-time fatigue score and 3 commonly used questionnaires (Checklist Individual Strength [CIS] fatigue subscale, Modified Fatigue Impact Scale (MFIS), and Fatigue Severity Scale [FSS]); and (3) to establish factors that confound the association between the real-time fatigue score and the conventional fatigue questionnaires in patients with multiple sclerosis (MS).DESIGN:
Cross-sectional study.SETTING:
MS-specialized outpatient facility.PARTICIPANTS:
Ambulant patients with MS (N=165) experiencing severe self-reported fatigue.INTERVENTIONS:
Not applicable. MAIN OUTCOMEMEASURES:
A real-time fatigue score was assessed by sending participants 4 text messages on a particular day (How fatigued do you feel at this moment?; score range, 0-10). Latent class growth mixed modeling was used to determine diurnal patterns of fatigue. Regression analyses were used to assess the association between the mean real-time fatigue score and the CIS fatigue subscale, MFIS, and FSS. Significant associations were tested for candidate confounders (eg, disease severity, work status, sleepiness).RESULTS:
Four significantly different fatigue profiles were identified by the real-time fatigue score, namely a stable high (n=79), increasing (n=57), stable low (n=16), and decreasing (n=13). The conventional questionnaires correlated poorly (r<.300) with the real-time fatigue score. The Epworth Sleepiness Scale significantly reduced the regression coefficient between the real-time fatigue score and conventional questionnaires, ranging from 15.4% to 35%.CONCLUSIONS:
Perceived fatigue showed 4 different diurnal patterns in patients with MS. Severity of sleepiness is an important confounder to take into account in the assessment of fatigue.Palavras-chave
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Base de dados:
MEDLINE
Assunto principal:
Inquéritos e Questionários
/
Modalidades de Fisioterapia
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Fadiga
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Esclerose Múltipla
Idioma:
En
Ano de publicação:
2016
Tipo de documento:
Article