File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Trajectories of sleep disturbance in cancer survivors during the first 2 years post-treatment

TitleTrajectories of sleep disturbance in cancer survivors during the first 2 years post-treatment
Authors
Keywords-depression
cancer-related distress
distress
insomnia
long-term cancer survivors
sleep disturbance
sleep quality
sleep trajectory
Issue Date2023
Citation
Sleep, 2023, v. 46, n. 8, article no. zsad052 How to Cite?
AbstractStudy Objectives: To examine the trajectories of sleep disturbance in cancer survivors during the first 2 years post-treatment and to investigate whether psychological, cognitive, and physical factors differentiate trajectories. Methods: A total of 623 Chinese cancer survivors of diverse cancer types participated in a 2-year-long prospective study after the completion of cancer treatment. Sleep disturbance was measured using Pittsburgh Sleep Quality Index at 3 (T2), 6 (T3), 12 (T4), 18 (T5), and 24 (T6) months after baseline (within 6-months post-treatment; T1). Latent growth mixture modeling identified distinctive sleep disturbance trajectories and tested if these longitudinal patterns were predicted by baseline psychological distress, attentional control, attentional bias and physical symptom distress and T2 cancer-related distress. Fully adjusted multinomial logistic regression then identified whether these factors differentiated trajectories. Results: Two distinct sleep disturbance trajectories were identified, namely stable good sleepers (69.7%) and persistent high sleep disturbance (30.3%). Compared to those in the stable good sleep group, patients in the persistent high sleep disturbance group were less likely to report avoidant (OR=0.49, 95% CI = 0.26-0.90), while more likely to report intrusive thoughts (OR = 1.76, 95% CI = 1.06-2.92) and cancer-related hyperarousal (OR = 3.37, 95% CI = 1.78-6.38). Higher depression scores also predicted persistent high sleep disturbance group membership (OR = 1.13, 95% CI = 1.03-1.25). Attentional bias, attentional control, anxiety, and physical symptom distress did not predict sleep trajectory membership. Conclusions: One in three cancer survivors experienced persistent high sleep disturbance. Screening and managing depressive symptoms and cancer-related distress in early cancer rehabilitation may reduce risk of persistent sleep disturbance among cancer survivors.
Persistent Identifierhttp://hdl.handle.net/10722/336930
ISSN
2023 Impact Factor: 5.3
2023 SCImago Journal Rankings: 1.717
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChan, Julia-
dc.contributor.authorNg, Danielle Wing Lam-
dc.contributor.authorLiao, Qiuyan-
dc.contributor.authorFielding, Richard-
dc.contributor.authorSoong, Inda-
dc.contributor.authorChan, Karen Kar Loen-
dc.contributor.authorLee, Conrad-
dc.contributor.authorNg, Alice Wan Ying-
dc.contributor.authorSze, Wing Kin-
dc.contributor.authorChan, Wing Lok-
dc.contributor.authorLee, Victor Ho Fun-
dc.contributor.authorLam, Wendy Wing Tak-
dc.date.accessioned2024-02-29T06:57:31Z-
dc.date.available2024-02-29T06:57:31Z-
dc.date.issued2023-
dc.identifier.citationSleep, 2023, v. 46, n. 8, article no. zsad052-
dc.identifier.issn0161-8105-
dc.identifier.urihttp://hdl.handle.net/10722/336930-
dc.description.abstractStudy Objectives: To examine the trajectories of sleep disturbance in cancer survivors during the first 2 years post-treatment and to investigate whether psychological, cognitive, and physical factors differentiate trajectories. Methods: A total of 623 Chinese cancer survivors of diverse cancer types participated in a 2-year-long prospective study after the completion of cancer treatment. Sleep disturbance was measured using Pittsburgh Sleep Quality Index at 3 (T2), 6 (T3), 12 (T4), 18 (T5), and 24 (T6) months after baseline (within 6-months post-treatment; T1). Latent growth mixture modeling identified distinctive sleep disturbance trajectories and tested if these longitudinal patterns were predicted by baseline psychological distress, attentional control, attentional bias and physical symptom distress and T2 cancer-related distress. Fully adjusted multinomial logistic regression then identified whether these factors differentiated trajectories. Results: Two distinct sleep disturbance trajectories were identified, namely stable good sleepers (69.7%) and persistent high sleep disturbance (30.3%). Compared to those in the stable good sleep group, patients in the persistent high sleep disturbance group were less likely to report avoidant (OR=0.49, 95% CI = 0.26-0.90), while more likely to report intrusive thoughts (OR = 1.76, 95% CI = 1.06-2.92) and cancer-related hyperarousal (OR = 3.37, 95% CI = 1.78-6.38). Higher depression scores also predicted persistent high sleep disturbance group membership (OR = 1.13, 95% CI = 1.03-1.25). Attentional bias, attentional control, anxiety, and physical symptom distress did not predict sleep trajectory membership. Conclusions: One in three cancer survivors experienced persistent high sleep disturbance. Screening and managing depressive symptoms and cancer-related distress in early cancer rehabilitation may reduce risk of persistent sleep disturbance among cancer survivors.-
dc.languageeng-
dc.relation.ispartofSleep-
dc.subject-depression-
dc.subjectcancer-related distress-
dc.subjectdistress-
dc.subjectinsomnia-
dc.subjectlong-term cancer survivors-
dc.subjectsleep disturbance-
dc.subjectsleep quality-
dc.subjectsleep trajectory-
dc.titleTrajectories of sleep disturbance in cancer survivors during the first 2 years post-treatment-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1093/sleep/zsad052-
dc.identifier.pmid36861253-
dc.identifier.scopuseid_2-s2.0-85168223023-
dc.identifier.volume46-
dc.identifier.issue8-
dc.identifier.spagearticle no. zsad052-
dc.identifier.epagearticle no. zsad052-
dc.identifier.eissn1550-9109-
dc.identifier.isiWOS:000973429700001-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats