OBJECTIVE: Fatigue is one of the most common and debilitating symptoms reported by cancer patients, yet relatively little is understood about its etiology. Recently, as researchers have begun to focus attention on cancer-related fatigue (CRF), depression has emerged as its strongest correlate. Few longitudinal studies, however, have examined directionality of the relationship between the two symptoms. Our aim was to evaluate the directionality of the association between depression and CRF. METHOD: The study used a single-group cohort design of longitudinal data (N = 329) from a randomized controlled trial of an intervention for pain and depression in a heterogeneous sample of cancer patients. Participants met criteria for clinically significant pain and/or depression. Our hypothesis that depression would predict change in fatigue over 3 months was tested using latent variable cross-lagged panel analysis. RESULTS:Depressive symptoms and fatigue were strongly correlated in the sample (baseline correlation of latent variables = 0.71). Although the model showed good fit to the data, χ(2) (66, N = 329) = 88.16, p = .04, SRMR = 0.030, RMSEA = 0.032, and CFI = 1.00, neither structural path linking depression and fatigue was significant, suggesting neither symptom preceded and predicted the other. CONCLUSIONS: Our findings did not support hypotheses regarding the directionality of the relationship between depressive symptoms and fatigue. The clinical implication is that depression-specific treatments may not be sufficient to treat CRF and that instead, interventions specifically targeting fatigue are needed.
RCT Entities:
OBJECTIVE:Fatigue is one of the most common and debilitating symptoms reported by cancerpatients, yet relatively little is understood about its etiology. Recently, as researchers have begun to focus attention on cancer-related fatigue (CRF), depression has emerged as its strongest correlate. Few longitudinal studies, however, have examined directionality of the relationship between the two symptoms. Our aim was to evaluate the directionality of the association between depression and CRF. METHOD: The study used a single-group cohort design of longitudinal data (N = 329) from a randomized controlled trial of an intervention for pain and depression in a heterogeneous sample of cancerpatients. Participants met criteria for clinically significant pain and/or depression. Our hypothesis that depression would predict change in fatigue over 3 months was tested using latent variable cross-lagged panel analysis. RESULTS:Depressive symptoms and fatigue were strongly correlated in the sample (baseline correlation of latent variables = 0.71). Although the model showed good fit to the data, χ(2) (66, N = 329) = 88.16, p = .04, SRMR = 0.030, RMSEA = 0.032, and CFI = 1.00, neither structural path linking depression and fatigue was significant, suggesting neither symptom preceded and predicted the other. CONCLUSIONS: Our findings did not support hypotheses regarding the directionality of the relationship between depressive symptoms and fatigue. The clinical implication is that depression-specific treatments may not be sufficient to treat CRF and that instead, interventions specifically targeting fatigue are needed.
Authors: K Kroenke; S L West; R Swindle; A Gilsenan; G J Eckert; R Dolor; P Stang; X H Zhou; R Hays; M Weinberger Journal: JAMA Date: 2001-12-19 Impact factor: 56.272
Authors: H Geinitz; F B Zimmermann; P Stoll; R Thamm; W Kaffenberger; K Ansorg; M Keller; R Busch; D van Beuningen; M Molls Journal: Int J Radiat Oncol Biol Phys Date: 2001-11-01 Impact factor: 7.038
Authors: Andrea Schumacher; Dieter Wewers; Achim Heinecke; Cristina Sauerland; Olaf M Koch; Jürgen van de Loo; Thomas Büchner; Wolfgang E Berdel Journal: Leuk Res Date: 2002-04 Impact factor: 3.156
Authors: Christopher M Callahan; Frederick W Unverzagt; Siu L Hui; Anthony J Perkins; Hugh C Hendrie Journal: Med Care Date: 2002-09 Impact factor: 2.983
Authors: Jennifer M Jones; Karin Olson; Pamela Catton; Charles N Catton; Neil E Fleshner; Monika K Krzyzanowska; David R McCready; Rebecca K S Wong; Haiyan Jiang; Doris Howell Journal: J Cancer Surviv Date: 2015-04-16 Impact factor: 4.442
Authors: Fay Wright; Gail D'Eramo Melkus; Marilyn Hammer; Brian L Schmidt; M Tish Knobf; Steven M Paul; Frances Cartwright; Judy Mastick; Bruce A Cooper; Lee-May Chen; Michelle Melisko; Jon D Levine; Kord Kober; Bradley E Aouizerat; Christine Miaskowski Journal: J Pain Symptom Manage Date: 2015-03-28 Impact factor: 3.612
Authors: Allison J Carroll; Kristine Kim; Andrew Miele; Matthew Olonoff; Frank T Leone; Robert A Schnoll; Brian Hitsman Journal: Addict Behav Date: 2019-04-03 Impact factor: 3.913
Authors: Nada Lukkahatai; Brian Walitt; Alexandra Espina; Alves Gelio; Leorey N Saligan Journal: Arthritis Care Res (Hoboken) Date: 2016-01 Impact factor: 4.794
Authors: Fay Wright; Bruce A Cooper; Yvette P Conley; Marilyn J Hammer; Lee-May Chen; Steven M Paul; Jon D Levine; Christine Miaskowski; Kord M Kober Journal: Fatigue Date: 2017-05-18