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Sleep quality in individuals diagnosed with colorectal cancer: Factors associated with sleep disturbance as patients transition off treatment
Author(s) -
Coles Theresa,
Tan Xianming,
Bennett Antonia V.,
Sanoff Hanna K.,
Basch Ethan,
Jensen Roxanne E.,
Reeve Bryce B.
Publication year - 2018
Publication title -
psycho‐oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.41
H-Index - 137
eISSN - 1099-1611
pISSN - 1057-9249
DOI - 10.1002/pon.4595
Subject(s) - sleep disorder , anxiety , depression (economics) , sleep (system call) , medicine , quality of life (healthcare) , disturbance (geology) , observational study , physical therapy , psychiatry , clinical psychology , insomnia , nursing , computer science , economics , macroeconomics , operating system , paleontology , biology
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.