Open AccessSleep Disorders in Cancer Patients: A Cross-Sectional Study
Author(s) -
Maha Aït Berri,
Abdellah Taous,
Taoufik Boubga,
Tarik Boulhri
Publication year - 2022
Publication title -
scholars journal of applied medical sciences
Language(s) - English
Resource type - Journals
eISSN - 2347-954X
pISSN - 2320-6691
DOI - 10.36347/sjams.2022.v10i04.004
Subject(s) - medicine , logistic regression , pittsburgh sleep quality index , epworth sleepiness scale , cross sectional study , observational study , sleep (system call) , descriptive statistics , correlation , quality of life (healthcare) , multivariate analysis , excessive daytime sleepiness , sleep disorder , insomnia , physical therapy , sleep quality , polysomnography , psychiatry , pathology , statistics , apnea , operating system , mathematics , geometry , nursing , computer science
Sleep disorders are very common symptoms of cancer and have a negative impact on the daily life of patients and those around them, thus altering their quality of life. This is an observational, descriptive, cross-sectional study, conducted at the Military Hospital Moulay Ismail in Meknes, Morocco, for 2 months, from 1st January 2021 to 31 December 2021. Pittsburgh Sleep Quality Index (PSQI) scale was used to assess sleep quality. Descriptive statistics, Chi-square test, and multivariate logistic regression analysis were used to conduct statistical analysis. 43% of our patients suffered from poor sleep quality and 22% had excessive daytime sleepiness. Correlation tests had objectified a significant positive relationship between sleep disorders and the presence of metastases. The correlation tests had also objectified a significant positive relationship between sleep disorders and treatment with chemotherapy, radiotherapy, and tumor ablation The correlation tests had objectified a significant positive relationship between sleep disorders and excessive daytime sleepiness. On the other hand, the correlation tests had not objectified a significant positive relationship between sleep disorders and tumor localization.