Home > Publications database > Fatigue in COPD: a Longitudinal, Multidimensional Perspective. > print

001     308661
005     20260126120550.0
024 7 _ |a 10.1007/s12529-025-10429-z
|2 doi
024 7 _ |a pmid:41577938
|2 pmid
024 7 _ |a 1070-5503
|2 ISSN
024 7 _ |a 1532-7558
|2 ISSN
037 _ _ |a DKFZ-2026-00194
041 _ _ |a English
082 _ _ |a 150
100 1 _ |a Ebadi, Zjala
|b 0
245 _ _ |a Fatigue in COPD: a Longitudinal, Multidimensional Perspective.
260 _ _ |a Boston, MA
|c 2026
|b Springer
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1769422542_3983769
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a epub
520 _ _ |a Fatigue is a pervasive, debilitating symptom of chronic obstructive pulmonary disease (COPD) that significantly impacts patients' overall health and quality of life. However, its underlying mechanisms and associations with physical, psychological, behavioral, and other health factors remain unclear. This study investigated longitudinal associations between fatigue and these factors in COPD.A total of 247 COPD patients (mean age, 67.3 ± 8.1 years; 60% male; mean forced expiratory volume in 1 s (FEV1) 57 ± 21% predicted) from primary and secondary care were enrolled in a longitudinal observational study. Two-wave autoregressive cross-lagged panel models (ARCLM) examined relationships between fatigue and associated factors at baseline and 1 year later.Severe fatigue was prevalent in 53% of participants at baseline, with no significant change at follow-up. ARCLM findings indicated that baseline physical activity was the only predictor of reduced fatigue after 1 year. Moreover, higher baseline fatigue predicted poorer health-related quality of life, more severe dyspnea, and greater dyspnea-related emotional distress at follow-up. Although the initial focus was on fatigue, the analysis revealed a complex network of longitudinal relationships between multiple studied variables extending beyond fatigue.Physical activity was the only direct predictor of fatigue, while fatigue directly influenced dyspnea, dyspnea-related emotions, and health-related quality of life. This study highlights the important role of fatigue within a complex network of physical, psychological, health status, and behavioral factors. The complexity of the interrelatedness of these factors suggests that single-target interventions are unlikely to be effective. Rather, integrated interventions, such as pulmonary rehabilitation, are needed.
536 _ _ |a 313 - Krebsrisikofaktoren und Prävention (POF4-313)
|0 G:(DE-HGF)POF4-313
|c POF4-313
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a Behavioral factors
|2 Other
650 _ 7 |a Chronic obstructive pulmonary disease
|2 Other
650 _ 7 |a Fatigue
|2 Other
650 _ 7 |a Health status
|2 Other
650 _ 7 |a Multidimensional approach
|2 Other
650 _ 7 |a Physical activity
|2 Other
700 1 _ |a Goërtz, Yvonne M J
|b 1
700 1 _ |a Van Herck, Maarten
|b 2
700 1 _ |a Delsing, Marc J M H
|b 3
700 1 _ |a Burtin, Chris
|b 4
700 1 _ |a van den Borst, Bram
|b 5
700 1 _ |a Thong, Melissa S Y
|0 P:(DE-He78)24fe6057396bec79d2638615b12eb989
|b 6
|u dkfz
700 1 _ |a Bischoff, Erik W M A
|b 7
700 1 _ |a Muris, Jean W M
|b 8
700 1 _ |a Prins, Judith
|b 9
700 1 _ |a van den Heuvel, Michel M
|b 10
700 1 _ |a Wouters, Emiel F M
|b 11
700 1 _ |a Janssen, Daisy J A
|b 12
700 1 _ |a Spruit, Martijn A
|b 13
700 1 _ |a Peters, Jeannette B
|b 14
700 1 _ |a Vercoulen, Jan H
|b 15
773 _ _ |a 10.1007/s12529-025-10429-z
|0 PERI:(DE-600)2027575-4
|p nn
|t International journal of behavioral medicine
|v nn
|y 2026
|x 1070-5503
909 C O |o oai:inrepo02.dkfz.de:308661
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 6
|6 P:(DE-He78)24fe6057396bec79d2638615b12eb989
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-313
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Krebsrisikofaktoren und Prävention
|x 0
914 1 _ |y 2026
915 _ _ |a DEAL Springer
|0 StatID:(DE-HGF)3002
|2 StatID
|d 2025-01-08
|w ger
915 _ _ |a DEAL Springer
|0 StatID:(DE-HGF)3002
|2 StatID
|d 2025-01-08
|w ger
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b INT J BEHAV MED : 2022
|d 2025-01-08
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2025-01-08
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2025-01-08
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2025-01-08
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2025-01-08
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2025-01-08
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2025-01-08
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1180
|2 StatID
|b Current Contents - Social and Behavioral Sciences
|d 2025-01-08
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0130
|2 StatID
|b Social Sciences Citation Index
|d 2025-01-08
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2025-01-08
920 1 _ |0 I:(DE-He78)C071-20160331
|k C071
|l Cancer Survivorship
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C071-20160331
980 _ _ |a UNRESTRICTED

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21