首页 | 本学科首页   官方微博 | 高级检索  
     


Subgroups of chemotherapy patients with distinct morning and evening fatigue trajectories
Authors:Kord M. Kober  Bruce A. Cooper  Steven M. Paul  Laura B. Dunn  Jon D. Levine  Fay Wright  Marilyn J. Hammer  Judy Mastick  Alan Venook  Bradley E. Aouizerat  Christine Miaskowski
Affiliation:1.School of Nursing, University of California,San Francisco,USA;2.School of Medicine, University of California,San Francisco,USA;3.College of Nursing,New York University,New York,USA;4.Institute for Human Genetics,University of California,San Francisco,USA;5.Department of Physiological Nursing,University of California,San Francisco,USA
Abstract:

Purpose

Purposes of this study were to identify subgroups of patients with distinct trajectories for morning and evening fatigue, evaluate for differences in demographic and clinical characteristics among these subgroups, and compare and contrast the predictors of subgroup membership for morning and evening fatigue.

Methods

Outpatients with breast, gastrointestinal, gynecological, or lung cancer (n?=?582) completed questionnaires, a total of six times over two cycles of chemotherapy (CTX). Morning and evening fatigue severity were evaluated using the Lee Fatigue Scale. Latent profile analysis (LPA) was used to identify distinct subgroups.

Results

Three latent classes were identified for morning fatigue (i.e., low (31.8 %), high (51.4 %), and very high (16.8 %)) and for evening fatigue (i.e., moderate (20.0 %), high (21.8 %), and very high (58.2 %)). Most of the disease and treatment characteristics did not distinguish among the morning and evening fatigue classes. Compared to the low class, patients in the high and very high morning fatigue classes were younger, had a lower functional status, and higher level of comorbidity. Compared to the moderate class, patients in the very high evening fatigue class were younger, more likely to be female, had child care responsibilities, had a lower functional status, and a higher level of comorbidity.

Conclusion

LPA allows for the identification of risk factors for more severe fatigue. Since an overlap was not observed across the morning and evening fatigue classes and unique predictors for morning and evening fatigue were identified, these findings suggest that morning and evening fatigue may have distinct underlying mechanisms.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号