Sleep Disorders and Fatigue among Patients with MS: The Role of Depression, Stress, and Anxiety.

IF 1.7 Q4 NEUROSCIENCES
Neurology Research International Pub Date : 2024-01-29 eCollection Date: 2024-01-01 DOI:10.1155/2024/6776758
Nassim Zekibakhsh Mohammadi, Amir Sam Kianimoghadam, Niloofar Mikaeili, Seyedeh Samaneh Asgharian, Mahdieh Jafari, Abbas Masjedi-Arani
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引用次数: 0

Abstract

Sleep disorders and fatigue represent prominent symptoms frequently experienced by individuals with multiple sclerosis (MS). Some psychological factors such as depression, stress, and anxiety seem to have a relationship with such problems. This study aimed to examine the role of depression, stress, and anxiety in predicting sleep disorders and fatigue among patients with MS. Employing a cross-sectional descriptive-correlational design, the study involved a sample size of 252 participants selected through purposive sampling based on inclusion and exclusion criteria. We utilized a demographic information questionnaire along with the Mini-Sleep Questionnaire (MSQ), Fatigue Severity Scale (FSS), and Depression, Anxiety, and Stress Scale (DASS-21) to collect data and analyzed them applying SPSS22, incorporating statistical measures including Pearson correlation and regression. The results of the Pearson correlation coefficient showed that sleep disorders had a positive and significant relationship with depression (r = 0.56; P < 0.001), stress (r = 0.40; P < 0.001), and anxiety (r = 0.52; P < 0.001). There was no significant relationship between age and the development of sleep disorders in total score (r = -0.001; P < 0.985), but age had a relationship with insomnia (r = -0.146; P < 0.021) and oversleeping (r = 0.153; P < 0.015). Age and fatigue did not have a significant relationship as well (r = -0.044; P < 0.941). In addition, fatigue had a positive and significant relationship with depression (r = 0.52; P < 0.001), stress (r = 0.48; P < 0.001), and anxiety (r = 0.54; P < 0.001). The results of the regression analysis also showed that depression, stress, and anxiety predict 0.37% of the total variance of sleep disorders (F = 48.34; P < 0.001) and 0.35% of the total variance of fatigue (F = 44.64; P < 0.001). Our findings suggest that depression, stress, and anxiety play a significant role in predicting sleep disorders and fatigue among patients with MS. This study has been reported in accordance with the TREND checklist for nonrandomized trials.

多发性硬化症患者的睡眠障碍和疲劳:抑郁、压力和焦虑的作用。
睡眠障碍和疲劳是多发性硬化症(MS)患者经常出现的突出症状。抑郁、压力和焦虑等心理因素似乎与这些问题有关。本研究旨在探讨抑郁、压力和焦虑在预测多发性硬化症患者睡眠障碍和疲劳方面的作用。本研究采用横断面描述性-相关性设计,根据纳入和排除标准通过有目的的抽样选取了 252 名参与者。我们使用了人口统计学信息问卷、迷你睡眠问卷(MSQ)、疲劳严重程度量表(FSS)和抑郁、焦虑和压力量表(DASS-21)来收集数据,并使用 SPSS22 对数据进行了分析,其中纳入了皮尔逊相关和回归等统计量表。皮尔逊相关系数结果显示,睡眠障碍与抑郁(r = 0.56;P < 0.001)、压力(r = 0.40;P < 0.001)和焦虑(r = 0.52;P < 0.001)有显著的正相关关系。在总分上,年龄与睡眠障碍的发生没有明显关系(r = -0.001;P <0.985),但年龄与失眠(r = -0.146;P <0.021)和睡过头(r = 0.153;P <0.015)有关系。年龄与疲劳的关系也不明显(r = -0.044;P < 0.941)。此外,疲劳与抑郁(r = 0.52;P < 0.001)、压力(r = 0.48;P < 0.001)和焦虑(r = 0.54;P < 0.001)有显著的正相关关系。回归分析的结果还显示,抑郁、压力和焦虑可预测睡眠障碍总变异的 0.37% (F = 48.34; P < 0.001) 和疲劳总变异的 0.35% (F = 44.64; P < 0.001)。我们的研究结果表明,抑郁、压力和焦虑在预测多发性硬化症患者的睡眠障碍和疲劳方面起着重要作用。本研究已根据 TREND 非随机试验核对表进行了报告。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.50
自引率
0.00%
发文量
10
审稿时长
17 weeks
期刊介绍: Neurology Research International is a peer-reviewed, Open Access journal that publishes original research articles, review articles, and clinical studies focusing on diseases of the nervous system, as well as normal neurological functioning. The journal will consider basic, translational, and clinical research, including animal models and clinical trials.
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