[usPropHeader] Error loading user control: The file '/CMSWebParts/WK.HLRP/LNC/LNCProductHeader.ascx' does not exist.

Buy this Article for $7.95

Have a coupon or promotional code? Enter it here:

When you buy this you'll get access to the ePub version, a downloadable PDF, and the ability to print the full article.


Chemotherapy, Diurnal variations, Latent class analysis, Morning fatigue, Symptom profiles



  1. Wright, Fay PhD, RN
  2. Dunn, Laura B. MD
  3. Paul, Steven M. PhD
  4. Conley, Yvette P. PhD
  5. Levine, Jon D. MD, PhD
  6. Hammer, Marilyn J. PhD, RN
  7. Cooper, Bruce A. PhD
  8. Miaskowski, Christine PhD, RN
  9. Kober, Kord M. PhD


Background: Morning fatigue is a distinct symptom experienced during chemotherapy that demonstrates significant interindividual variability.


Objectives: The aims of this study were to identify subgroups with distinct morning fatigue profiles and evaluate how these subgroups differed by demographic, clinical, and symptom characteristics.


Methods: Outpatients (N = 1332) with breast, gastrointestinal, gynecological, or lung cancer completed questionnaires 6 times over 2 cycles of chemotherapy. Morning fatigue was assessed with the Lee Fatigue Scale. Latent profile analysis was used to identify distinct morning fatigue profiles.


Results: Four morning fatigue profiles (ie, very low, low, high, and very high) were identified. In the high and very high classes, all 6 morning fatigue scores were higher than the clinical cutoff score. Compared with those in the very low and low classes, patients in the very high class were younger and not married/partnered; lived alone; had higher incomes, higher comorbidity, and higher body mass index; and did not exercise regularly. Across the 4 classes, functional status and attentional function scores decreased and anxiety, depression, sleep disturbance, morning fatigue, and evening fatigue scores increased across the 2 cycles.


Conclusion: Results provide insights into modifiable risk factors for morning fatigue. These risk factors can be used to develop more targeted interventions.


Implications for Practice: Patients in the high and very high morning fatigue classes experienced high symptom and comorbidity burdens and significant decrements in functional status. Using this information, clinicians can identify patients who are at an increased risk for higher levels of morning fatigue and prescribe interventions to improve this devastating symptom.