Severe fatigue in type 1 diabetes: Exploring its course, predictors and relationship with HbA(1c) in a prospective study

Juliane Menting*, Stephanie Nikolaus, William M. van der Veld, Martine M. Goedendorp, Cees J. Tack, Hans Knoop

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    11 Citations (Scopus)

    Abstract

    Aims: To prospectively identify the course of severe fatigue, its predictors and the relationship with HbA(1c) in patients with type 1 diabetes.

    Methods: 214 adult patients completed questionnaires on fatigue severity and fatigue-related factors at baseline. HbA(1c) was retrieved from medical records. After 43 months, fatigue severity and HbA(1c) were reassessed in 194 patients. A logistic regression analysis was used to determine predictors of severe fatigue at follow-up with various cognitive-behavioral and clinical factors as potential predictors. The relationship between fatigue and HbA(1c) was investigated in a sub-analysis by differentiating between patients with suboptimal glucose control [HbA(1c) >7% (53 mmol/mol)] and optimal glucose control [HbA(1c) 6 7% (53 mmol/mol)].

    Results: The prevalence of severe fatigue was 40% at baseline and 42% at follow-up. In three out of four severely fatigued patients at baseline (76%), severe fatigue persisted over time. More depressive symptoms, more pain, sleep disturbances, lower self-efficacy concerning fatigue, less confidence in diabetes self-care, more fatigue severity at baseline and more diabetes complications predicted severe fatigue at follow-up. Over time, HbA(1c) at baseline was positively associated with fatigue severity at follow-up in both groups (suboptimal glucose control: r=.18, p

    Conclusions: About three quarters of patients with type 1 diabetes suffer from persistent fatigue. Aside from the number of diabetes complications, no clinical factors explained the persistence of fatigue. HbA(1c) and fatigue were weakly associated in a sub-analysis. Since the strongest predictors of severe fatigue were cognitive-behavioral factors, behavioral interventions might be effective in decreasing fatigue. (C) 2016 Elsevier Ireland Ltd. All rights reserved.

    Original languageEnglish
    Pages (from-to)127-134
    Number of pages8
    JournalDiabetes Research and Clinical Practice
    Volume121
    DOIs
    Publication statusPublished - Nov-2016

    Keywords

    • Persistent fatigue
    • Type 1 diabetes
    • Prospective design
    • Predictors of fatigue
    • HbA(1c)
    • RANDOMIZED CONTROLLED-TRIAL
    • COGNITIVE-BEHAVIOR THERAPY
    • RHEUMATOID-ARTHRITIS
    • MULTIPLE-SCLEROSIS
    • HEALTH-STATUS
    • DISEASE
    • SYMPTOMS
    • DEPRESSION
    • WOMEN
    • DUTCH

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