- 作者：An ; Dhruva ; Bradley E. Aouizerat ; Bruce Cooper ; Steven M. Paul ; Marylin Dodd ; Claudia West ; William Wara ; Kathryn Lee ; Laura B. Dunn ; Dale J. Langford ; John D. Merriman ; Christina Baggott ; Janine Cataldo ; Christine Ritchie ; Kord Kober ; Heather Leutwyler ; Christine Miaskowski
- 关键词：Morning fatigue ; Evening fatigue ; Fatigue ; Diurnal variability ; Radiation therapy ; Cancer treatment ; Growth mixture modeling ; Latent class analysis
- 刊名：European Journal of Oncology Nursing
- 出版年：December, 2013
- 年：2013
- 卷：17
- 期：6
- 页码：841-848
- 全文大小：582 K
Purpose of the research
To identify distinct latent classes of individuals based on ratings of morning and evening fatigue; evaluate for differences in phenotypic characteristics, as well as symptom and quality of life scores, among these latent classes; and evaluate for an overlap in morning and evening fatigue class membership.Patients and methods
In a sample of 167 oncology outpatients and 85 of their FCs, growth mixture modeling was used to identify distinct latent classes based on ratings of morning and evening fatigue obtained before, during, and after radiation therapy. Analyses of variance and Chi Square analyses were used to evaluate for differences among the morning and evening fatigue latent classes.
Results
Three distinct latent classes for morning fatigue were identified. Participants in the High Morning Fatigue class (47%) were younger and had lower functional status. Three distinct latent classes for evening fatigue were identified. Participants in the High Evening Fatigue class (61%) were younger, more likely to be female, more likely to have children at home, and more likely to be a FC. Only 10.3% of participants were classified in both the Very Low Morning and Low Evening Fatigue classes and 41.3% were classified in both the High Morning and High Evening Fatigue classes.
Conclusions
Different characteristics were associated with morning and evening fatigue, which suggests that morning and evening fatigue may be distinct but related symptoms. Additional research is needed to elucidate the mechanisms that may underlie diurnal variability in fatigue.