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Assessing the Sleep-wake Pattern in Cancer Patients for Predicting a Short Sleep Onset Latency

OBJECTIVE: We investigated the sleep parameters and clinical factors related to short sleep onset latency (SL) in cancer patients. METHODS: We retrospectively reviewed the medical records of 235 cancer patients. Patient Health Questionnaire-9, State and Trait Anxiety Inventory (State subcategory), I...

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Autores principales: Yi, Kikyoung, Lee, Joohee, Yeo, Sungook, Kim, Kyumin, Chung, Seockhoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean College of Neuropsychopharmacology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048007/
https://www.ncbi.nlm.nih.gov/pubmed/35466107
http://dx.doi.org/10.9758/cpn.2022.20.2.364
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author Yi, Kikyoung
Lee, Joohee
Yeo, Sungook
Kim, Kyumin
Chung, Seockhoon
author_facet Yi, Kikyoung
Lee, Joohee
Yeo, Sungook
Kim, Kyumin
Chung, Seockhoon
author_sort Yi, Kikyoung
collection PubMed
description OBJECTIVE: We investigated the sleep parameters and clinical factors related to short sleep onset latency (SL) in cancer patients. METHODS: We retrospectively reviewed the medical records of 235 cancer patients. Patient Health Questionnaire-9, State and Trait Anxiety Inventory (State subcategory), Insomnia Severity Index (ISI), Cancer-related Dysfunctional Beliefs about Sleep, and Fear of Progression scale scores and sleep related parameters including sleeping pill ingestion time, bedtime, sleep onset time, and wake-up time were collected. We also calculated the duration from sleeping pill ingestion to bedtime, sleep onset time, and wake-up time; duration from wake-up time to bedtime and sleep onset time; and time spent in bed over a 24 hours period. RESULTS: Among patients not taking sleeping pills (n = 145), early wake-up time (adjusted odds ratio [OR] 0.39, 95% confidence interval [CI] 0.19−0.78), early sleep onset time (OR 0.50, 95% CI 0.27−0.93), and low ISI score (OR 0.82, 95% CI 0.71−0.93) were identified as expecting variables for SL ≤ 30 minutes. Longer duration from wake-up time to bedtime (OR 2.49, 95% CI 1.48−4.18) predicted SL ≤ 30 minutes. Among those taking sleeping pills (n = 90), early sleep onset time (OR 0.54, 95% CI 0.39−0.76) and short duration from pill ingestion to sleep onset time (OR 0.05, 95% CI 0.02−0.16) predicted SL ≤ 30 minutes. CONCLUSION: Cancer patients who fell asleep quickly spent less time in bed during the day. Thus, before cancer patients with insomnia are prescribed sleeping pills, their sleep parameters should be examined to improve their SL.
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spelling pubmed-90480072022-05-31 Assessing the Sleep-wake Pattern in Cancer Patients for Predicting a Short Sleep Onset Latency Yi, Kikyoung Lee, Joohee Yeo, Sungook Kim, Kyumin Chung, Seockhoon Clin Psychopharmacol Neurosci Original Article OBJECTIVE: We investigated the sleep parameters and clinical factors related to short sleep onset latency (SL) in cancer patients. METHODS: We retrospectively reviewed the medical records of 235 cancer patients. Patient Health Questionnaire-9, State and Trait Anxiety Inventory (State subcategory), Insomnia Severity Index (ISI), Cancer-related Dysfunctional Beliefs about Sleep, and Fear of Progression scale scores and sleep related parameters including sleeping pill ingestion time, bedtime, sleep onset time, and wake-up time were collected. We also calculated the duration from sleeping pill ingestion to bedtime, sleep onset time, and wake-up time; duration from wake-up time to bedtime and sleep onset time; and time spent in bed over a 24 hours period. RESULTS: Among patients not taking sleeping pills (n = 145), early wake-up time (adjusted odds ratio [OR] 0.39, 95% confidence interval [CI] 0.19−0.78), early sleep onset time (OR 0.50, 95% CI 0.27−0.93), and low ISI score (OR 0.82, 95% CI 0.71−0.93) were identified as expecting variables for SL ≤ 30 minutes. Longer duration from wake-up time to bedtime (OR 2.49, 95% CI 1.48−4.18) predicted SL ≤ 30 minutes. Among those taking sleeping pills (n = 90), early sleep onset time (OR 0.54, 95% CI 0.39−0.76) and short duration from pill ingestion to sleep onset time (OR 0.05, 95% CI 0.02−0.16) predicted SL ≤ 30 minutes. CONCLUSION: Cancer patients who fell asleep quickly spent less time in bed during the day. Thus, before cancer patients with insomnia are prescribed sleeping pills, their sleep parameters should be examined to improve their SL. Korean College of Neuropsychopharmacology 2022-05-31 2022-05-31 /pmc/articles/PMC9048007/ /pubmed/35466107 http://dx.doi.org/10.9758/cpn.2022.20.2.364 Text en Copyright© 2022, Korean College of Neuropsychopharmacology https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Yi, Kikyoung
Lee, Joohee
Yeo, Sungook
Kim, Kyumin
Chung, Seockhoon
Assessing the Sleep-wake Pattern in Cancer Patients for Predicting a Short Sleep Onset Latency
title Assessing the Sleep-wake Pattern in Cancer Patients for Predicting a Short Sleep Onset Latency
title_full Assessing the Sleep-wake Pattern in Cancer Patients for Predicting a Short Sleep Onset Latency
title_fullStr Assessing the Sleep-wake Pattern in Cancer Patients for Predicting a Short Sleep Onset Latency
title_full_unstemmed Assessing the Sleep-wake Pattern in Cancer Patients for Predicting a Short Sleep Onset Latency
title_short Assessing the Sleep-wake Pattern in Cancer Patients for Predicting a Short Sleep Onset Latency
title_sort assessing the sleep-wake pattern in cancer patients for predicting a short sleep onset latency
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048007/
https://www.ncbi.nlm.nih.gov/pubmed/35466107
http://dx.doi.org/10.9758/cpn.2022.20.2.364
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