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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Korean College of Neuropsychopharmacology
2022
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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. |
format | Online Article Text |
id | pubmed-9048007 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Korean College of Neuropsychopharmacology |
record_format | MEDLINE/PubMed |
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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