Variation in fatigue among 6011 (long-term) cancer survivors and a normative population: a study from the population-based PROFILES registry.

We used cancer survivorship data from the population-based PROFILES registry. We included survivors of endometrial (EC, n = 741) or colorectal cancer (CRC, n = 3878) (1998-2007), thyroid cancer (TC, n = 306) (1990-2008), Hodgkin (HL, n = 150) or non-Hodgkin lymphoma (NHL, n = 716), or multiple myeloma (MM, n = 120) (1999-2008). A representative Dutch normative population (n = 2040) was also assessed. Participants completed the Fatigue Assessment Scale.

Fatigue levels are substantial in (long-term) cancer survivors and vary depending on cancer type, time since diagnosis, age, gender, treatment with chemotherapy, number of comorbid conditions, educational level, and partnership. Since significantly more cancer survivors feel fatigued in comparison with the normative population, appropriate information, assessment, and interventions for fatigue are needed during or after oncologic treatment. Furthermore, focus on better control or management of comorbid conditions of cancer survivors is recommended.

Cancer survivors were more often classified as fatigued (EC/CRC 39%, HL 40%, NHL 43%, MM 51%, TC 44%) compared with the normative population (21 %; p < 0.001). MM survivors were more often classified as fatigued than all other cancer groups, except NHL (overall p = 0.02). Shorter times since diagnosis (<5 years, 41 versus 38%; p < 0.05), younger age (≤65 years, 42 versus 39%; p < 0.01), being female (43 versus 36%; p < 0.01), chemotherapy treatment (43 versus 39%; p < 0.01), comorbidity (no (27%) versus 1 (35%) versus ≥2 (52%); p < 0.01), educational level (low (44%) versus medium (41%) versus high (32%); p < 0.01), and absence of a partner (47 versus 38%; p < 0.01) were associated with fatigue.

Cancer survivors commonly experience fatigue, related to disease and its treatment. This study aimed to compare fatigue severity among survivors of different cancer types with a normative population and also to identify variations in fatigue among cancer survivors according to clinical and demographic variables.