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Study on the Sleep Quality Classification and Influencing Factors of Adult ICU Awake Patients Based on Latent Profile Analysis: A Cross-Sectional Survey
OBJECTIVE: To explore the potential category characteristics of sleep quality in conscious adult patients in the intensive care unit (ICU) and to analyze the differences in characteristics of different categories of conscious adult patients in the ICU. METHODS: From 5/4/2023 to 30/6/2023, we selecte...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625327/ https://www.ncbi.nlm.nih.gov/pubmed/37928370 http://dx.doi.org/10.2147/NSS.S430635 |
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author | Zhang, Yanting Zhang, Yuan Teng, Manting Wang, Bingxue Cheng, Miying Zhong, Si Zhang, Xiao Ding, Xinbo Liu, Chang Ma, Jing |
author_facet | Zhang, Yanting Zhang, Yuan Teng, Manting Wang, Bingxue Cheng, Miying Zhong, Si Zhang, Xiao Ding, Xinbo Liu, Chang Ma, Jing |
author_sort | Zhang, Yanting |
collection | PubMed |
description | OBJECTIVE: To explore the potential category characteristics of sleep quality in conscious adult patients in the intensive care unit (ICU) and to analyze the differences in characteristics of different categories of conscious adult patients in the ICU. METHODS: From 5/4/2023 to 30/6/2023, we selected ICU patients of a Class iii Grade A hospital in Wuhan as subjects by simple random sampling. The general information questionnaire, Acute Physiology and Chronic Health Evaluation II, Numerical Rating Scale (NRS)/Critical Care Pain Observation Tool (CPOT) and Richards-Campbell Sleep Questionnaire (RCSQ) were used for investigation. To analyze the latent profile of sleep quality characteristics of adult ICU awake patients and to identify the influencing factors of the latent profile through univariate analysis and logistic regression analysis. RESULTS: A total of 298 awake ICU patients were investigated. There were three potential profiles of sleep quality characteristics, namely “low sleep quality” type (16.31%), “medium sleep quality” type (52.11%), and “high sleep quality” type (31.57%). Logistic regression analysis showed that age (36–60), disease type admitted to ICU, oxygen administration method, CPOT or NRS score, postoperative or not, use of analgesic drugs or not, and use of sleep-promoting drugs or not were the factors affecting the sleep quality of adult ICU awake patients (P < 0.05). CONCLUSION: The sleep quality of adult ICU awake patients has obvious classification characteristics. Health professionals can carry out individualized interventions according to the influencing factors of different potential profiles to improve the sleep quality of adult ICU awake patients. |
format | Online Article Text |
id | pubmed-10625327 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-106253272023-11-05 Study on the Sleep Quality Classification and Influencing Factors of Adult ICU Awake Patients Based on Latent Profile Analysis: A Cross-Sectional Survey Zhang, Yanting Zhang, Yuan Teng, Manting Wang, Bingxue Cheng, Miying Zhong, Si Zhang, Xiao Ding, Xinbo Liu, Chang Ma, Jing Nat Sci Sleep Original Research OBJECTIVE: To explore the potential category characteristics of sleep quality in conscious adult patients in the intensive care unit (ICU) and to analyze the differences in characteristics of different categories of conscious adult patients in the ICU. METHODS: From 5/4/2023 to 30/6/2023, we selected ICU patients of a Class iii Grade A hospital in Wuhan as subjects by simple random sampling. The general information questionnaire, Acute Physiology and Chronic Health Evaluation II, Numerical Rating Scale (NRS)/Critical Care Pain Observation Tool (CPOT) and Richards-Campbell Sleep Questionnaire (RCSQ) were used for investigation. To analyze the latent profile of sleep quality characteristics of adult ICU awake patients and to identify the influencing factors of the latent profile through univariate analysis and logistic regression analysis. RESULTS: A total of 298 awake ICU patients were investigated. There were three potential profiles of sleep quality characteristics, namely “low sleep quality” type (16.31%), “medium sleep quality” type (52.11%), and “high sleep quality” type (31.57%). Logistic regression analysis showed that age (36–60), disease type admitted to ICU, oxygen administration method, CPOT or NRS score, postoperative or not, use of analgesic drugs or not, and use of sleep-promoting drugs or not were the factors affecting the sleep quality of adult ICU awake patients (P < 0.05). CONCLUSION: The sleep quality of adult ICU awake patients has obvious classification characteristics. Health professionals can carry out individualized interventions according to the influencing factors of different potential profiles to improve the sleep quality of adult ICU awake patients. Dove 2023-10-31 /pmc/articles/PMC10625327/ /pubmed/37928370 http://dx.doi.org/10.2147/NSS.S430635 Text en © 2023 Zhang et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Zhang, Yanting Zhang, Yuan Teng, Manting Wang, Bingxue Cheng, Miying Zhong, Si Zhang, Xiao Ding, Xinbo Liu, Chang Ma, Jing Study on the Sleep Quality Classification and Influencing Factors of Adult ICU Awake Patients Based on Latent Profile Analysis: A Cross-Sectional Survey |
title | Study on the Sleep Quality Classification and Influencing Factors of Adult ICU Awake Patients Based on Latent Profile Analysis: A Cross-Sectional Survey |
title_full | Study on the Sleep Quality Classification and Influencing Factors of Adult ICU Awake Patients Based on Latent Profile Analysis: A Cross-Sectional Survey |
title_fullStr | Study on the Sleep Quality Classification and Influencing Factors of Adult ICU Awake Patients Based on Latent Profile Analysis: A Cross-Sectional Survey |
title_full_unstemmed | Study on the Sleep Quality Classification and Influencing Factors of Adult ICU Awake Patients Based on Latent Profile Analysis: A Cross-Sectional Survey |
title_short | Study on the Sleep Quality Classification and Influencing Factors of Adult ICU Awake Patients Based on Latent Profile Analysis: A Cross-Sectional Survey |
title_sort | study on the sleep quality classification and influencing factors of adult icu awake patients based on latent profile analysis: a cross-sectional survey |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625327/ https://www.ncbi.nlm.nih.gov/pubmed/37928370 http://dx.doi.org/10.2147/NSS.S430635 |
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