Eileen Danaher Hacker1, Inah Kim, Chang Park, Tara Peters. 1. Author Affiliations: Department of Biobehavioral Health Science, College of Nursing, University of Illinois at Chicago (Dr Hacker, Ms Kim, and Ms Peters); Department of Health Science Systems, College of Nursing, University of Illinois at Chicago (Dr Park).
Abstract
BACKGROUND: Fatigue and physical inactivity, critical problems facing cancer survivors, impact overall health and functioning. Our group designed a novel methodology to evaluate the temporal, dynamic patterns in real-world settings. OBJECTIVE: Using real-time technology, the temporal, dynamic relationship between real-time fatigue and free-living is described and compared in cancer survivors who were treated with hematopoietic stem cell transplantation (n = 25) and age- and gender-matched healthy controls (n = 25). METHODS: Subjects wore wrist actigraphs on their nondominant hand to assess free-living physical activity, measured in 1-minute epochs, over 7 days. Subjects entered real-time fatigue assessments directly into the subjective event marker of the actigraph 5 times per day. Running averages of mean 1-minute activity counts 30, 60, and 120 minutes before and after each real-time fatigue score were correlated with real-time fatigue using generalized estimating equations, RESULTS: : A strong inverse relationship exists between real-time fatigue and subsequent free-living physical activity. This inverse relationship suggests that increasing real-time fatigue limits subsequent physical activity (B range= -0.002 to -0.004; P < .001). No significant differences in the dynamic patterns of real-time fatigue and free-living physical activity were found between groups. CONCLUSIONS: To our knowledge, this is the first study to document the temporal and potentially causal relationship between real-time fatigue and free-living physical activity in real-world setting. These findings suggest that fatigue drives the subsequent physical activity and the relationship may not be bidirectional. IMPLICATIONS FOR PRACTICE: Understanding the temporal, dynamic relationship may have important health implications for developing interventions to address fatigue in cancer survivors.
BACKGROUND:Fatigue and physical inactivity, critical problems facing cancer survivors, impact overall health and functioning. Our group designed a novel methodology to evaluate the temporal, dynamic patterns in real-world settings. OBJECTIVE: Using real-time technology, the temporal, dynamic relationship between real-time fatigue and free-living is described and compared in cancer survivors who were treated with hematopoietic stem cell transplantation (n = 25) and age- and gender-matched healthy controls (n = 25). METHODS: Subjects wore wrist actigraphs on their nondominant hand to assess free-living physical activity, measured in 1-minute epochs, over 7 days. Subjects entered real-time fatigue assessments directly into the subjective event marker of the actigraph 5 times per day. Running averages of mean 1-minute activity counts 30, 60, and 120 minutes before and after each real-time fatigue score were correlated with real-time fatigue using generalized estimating equations, RESULTS: : A strong inverse relationship exists between real-time fatigue and subsequent free-living physical activity. This inverse relationship suggests that increasing real-time fatigue limits subsequent physical activity (B range= -0.002 to -0.004; P < .001). No significant differences in the dynamic patterns of real-time fatigue and free-living physical activity were found between groups. CONCLUSIONS: To our knowledge, this is the first study to document the temporal and potentially causal relationship between real-time fatigue and free-living physical activity in real-world setting. These findings suggest that fatigue drives the subsequent physical activity and the relationship may not be bidirectional. IMPLICATIONS FOR PRACTICE: Understanding the temporal, dynamic relationship may have important health implications for developing interventions to address fatigue in cancer survivors.
Authors: Maciej S Buchowski; Sandra F Simmons; Lauren E Whitaker; James Powers; Linda Beuscher; Leena Choi; T Alp Ikizler; Kong Chen; John F Shnelle Journal: Age (Dordr) Date: 2011-11-24
Authors: Ann M Berger; Amy Pickar Abernethy; Ashley Atkinson; Andrea M Barsevick; William S Breitbart; David Cella; Bernadine Cimprich; Charles Cleeland; Mario A Eisenberger; Carmen P Escalante; Paul B Jacobsen; Phyllis Kaldor; Jennifer A Ligibel; Barbara A Murphy; Tracey O'Connor; William F Pirl; Eve Rodler; Hope S Rugo; Jay Thomas; Lynne I Wagner Journal: J Natl Compr Canc Netw Date: 2010-08 Impact factor: 11.908
Authors: Nancy W Glynn; Adam J Santanasto; Eleanor M Simonsick; Robert M Boudreau; Scott R Beach; Richard Schulz; Anne B Newman Journal: J Am Geriatr Soc Date: 2014-12-31 Impact factor: 5.562
Authors: M F M Gielissen; A V M Schattenberg; C A H H V M Verhagen; M J Rinkes; M E J Bremmers; G Bleijenberg Journal: Bone Marrow Transplant Date: 2007-03-19 Impact factor: 5.483
Authors: Caroline S Kampshoff; Irma M Verdonck-de Leeuw; Martijn G van Oijen; Mirjam A Sprangers; Laurien M Buffart Journal: Eur J Cancer Care (Engl) Date: 2019-05-14 Impact factor: 2.328
Authors: Erica Morales-Rodriguez; Txomin Pérez-Bilbao; Alejandro F San Juan; Jorge Lorenzo Calvo Journal: Int J Environ Res Public Health Date: 2022-01-24 Impact factor: 3.390
Authors: Yujia Susanna Qiao; Theresa Gmelin; Sharon W Renner; Robert M Boudreau; Sarah Martin; Mary K Wojczynski; Kaare Christensen; Stacy L Andersen; Stephanie Cosentino; Adam J Santanasto; Nancy W Glynn Journal: J Gerontol A Biol Sci Med Sci Date: 2021-09-13 Impact factor: 6.053
Authors: Rebecca A Harrison; Noha Sharafeldin; Jennie L Rexer; Brennan Streck; Melissa Petersen; Ashley M Henneghan; Shelli R Kesler Journal: Oncologist Date: 2021-07-12