Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/35790
Title: Fatigue in patients with chronic disease: results from the population-based Lifelines Cohort Study
Authors: Goërtz, Yvonne
Braamse, Annemarie
SPRUIT, Martijn A. 
Janssen, Daisy
Ebadi, Zjala
VAN HERCK, Maarten 
BURTIN, Chris 
Peters, Jeannette
Sprangers, Mirjam
Lamers, Femke
Twisk, Jos
Thong, Melissa
Vercoulen, Jan
Geerlings, Suzanne
Vaes, Anouk
Beijers, Rosanne
VAN BEERS, Martijn 
Schols, Annemie
Rosmalen, Judith
Knoop, Hans
Issue Date: 2021
Publisher: NATURE PORTFOLIO
Source: Scientific reports (Nature Publishing Group), 11 (1) (Art N° 20977)
Abstract: (1) To evaluate the prevalence of severe and chronic fatigue in subjects with and without chronic disease; (2) to assess to which extent multi-morbidity contributes to severe and chronic fatigue; and (3) to identify predisposing and associated factors for severe and chronic fatigue and whether these are disease-specific, trans-diagnostic, or generic. The Dutch Lifelines cohort was used, including 78,363 subjects with (n = 31,039, 53 ± 12 years, 33% male) and without (n = 47,324, 48 ± 12 years, 46% male) ≥ 1 of 23 chronic diseases. Fatigue was assessed with the Checklist Individual Strength-Fatigue. Compared to participants without a chronic disease, a higher proportion of participants with ≥ 1 chronic disease were severely (23% versus 15%, p < 0.001) and chronically (17% versus 10%, p < 0.001) fatigued. The odds of having severe fatigue (OR [95% CI]) increased from 1.6 [1.5-1.7] with one chronic disease to 5.5 [4.5-6.7] with four chronic diseases; for chronic fatigue from 1.5 [1.5-1.6] to 4.9 [3.9-6.1]. Multiple trans-diagnostic predisposing and associated factors of fatigue were found, explaining 26% of variance in fatigue in chronic disease. Severe and chronic fatigue are highly prevalent in chronic diseases. Multi-morbidity increases the odds of having severe and chronic fatigue. Several trans-diagnostic factors were associated with fatigue, providing a rationale for a trans-diagnostic approach.
Document URI: http://hdl.handle.net/1942/35790
ISSN: 2045-2322
e-ISSN: 2045-2322
DOI: 10.1038/s41598-021-00337-z
ISI #: WOS:000711121600074
Datasets of the publication: We are not permitted to share individual data from the Dutch Lifelines study. Information on applying for access to the Dutch Lifelines data is available at https://www.lifelines.nl/researcher/how-to-apply.
Rights: Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creat iveco mmons. org/ licen ses/ by/4. 0/.
Category: A1
Type: Journal Contribution
Validations: ecoom 2022
Appears in Collections:Research publications

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