Sleep quality in individuals diagnosed with colorectal cancer: Factors associated with sleep disturbance as patients transition off treatment.

Journal Article (Journal Article)

OBJECTIVE: To identify patient characteristics associated with sleep disturbance and worsening of sleep in individuals diagnosed with localized colorectal cancer and assess heterogeneity in these relationships. METHODS: Data were from the MY-Health study, a community-based observational study of adults diagnosed with cancer. Patient-Reported Outcomes Measurement Information System® Sleep Disturbance, Anxiety, Depression, Fatigue, and Pain Interference measures were administered. Participants self-reported demographics, comorbidities, and treatment information. Regression mixture and multiple regression models were used to evaluate the relationship between sleep disturbance and patient characteristics cross-sectionally at an average of 10 months after diagnosis (n = 613) as well as change in sleep disturbance over a 6-month period (n = 361). RESULTS: Pain, anxiety, fatigue, and the existence of multiple comorbid conditions had statistically significant relationships with sleep disturbance (B = 0.09, 0.22, 0.29, and 1.53, respectively; P < 0.05). Retirement (B = -2.49) was associated with sleep quality in the cross-sectional model. Worsening anxiety (B = 0.14) and fatigue (B = 0.20) were associated with worsening sleep disturbance, and more severe sleep disturbance 10 months after diagnosis (B = -0.21) was associated with improvement in sleep quality after diagnosis (P < 0.05). No evidence of latent subgroups of patients (heterogeneity) was present. CONCLUSIONS: Pain, anxiety, fatigue, employment, and comorbid conditions were associated with sleep disturbance, but regression coefficients were small (< |2.5|). Results suggest that screening for anxiety, depression, fatigue, or pain is not sufficient for identifying sleep disturbance. Given the negative consequences of sleep disturbance, sleep disturbance screening may be warranted.

Full Text

Duke Authors

Cited Authors

  • Coles, T; Tan, X; Bennett, AV; Sanoff, HK; Basch, E; Jensen, RE; Reeve, BB

Published Date

  • March 2018

Published In

Volume / Issue

  • 27 / 3

Start / End Page

  • 1050 - 1056

PubMed ID

  • 29265709

Electronic International Standard Serial Number (EISSN)

  • 1099-1611

Digital Object Identifier (DOI)

  • 10.1002/pon.4595


  • eng

Conference Location

  • England