沙特阿拉伯护理人员的焦虑和抑郁

Khalid A Alharbi, Abdulmajeed Alharbi, Faris Althunayyan, Khalid A Suhaibani, H. A. Alharbi, I. S. Albahouth, A. Alyahya, A. Alrasheedi, Abdullah M. AlJurayyed
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摘要

背景:焦虑和抑郁是影响工人生产力的最常见的精神问题。诊断这些疾病并确定其诱发因素有助于提高工人的素质和生产力;特别是护士,对所提供服务的质量产生积极影响,并作为一项预防措施,将节省管理这种疾病的费用。参与者和方法:这项基于问卷的横断面研究于2021年12月至2022年3月期间进行,匿名和自愿邀请了250名护士。收集的资料包括社会人口学、人体测量学和生活方式资料以及医院焦虑和抑郁量表问卷项目。数据分析采用SPSS统计软件,以均数±标准差和频率表示;数量(n)和百分比(%)。结果:215名护士参与调查,回复率为86%。焦虑的平均±SD评分为8.4±3.9分,抑郁的平均±SD评分为6.6±3.9分,性别差异显著。焦虑和抑郁的患病率分别为28.8%和16.7%。焦虑与医院位置、体重指数、体力活动和加班有显著关联。医院位置、南亚种族、吸烟、体育活动和夜班都显示出与抑郁症的显著关联。结论:我们的数据远低于一些国际和国内研究,但仍高于其他研究。然而,他们警告需要改变,以提高护士的生活质量,以确保更好的医疗服务,减轻双方的情感和经济负担。
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Anxiety and Depression among the Nursing Staff, Saudi Arabia
BACKGROUND: Anxiety and depression are the most common mental problems that may affect workers' productivity. Diagnosing these disorders and determining their predisposing factors helps improving quality and productivity of workers; particularly nurses, with a positive impact on quality of service provided and as a preventive measure would save the cost of management of such disorders. PARTICIPANTS & METHODS: This questionnaire-based cross-sectional study was conducted between December 2021 and March 2022 and anonymously and voluntarily invited 250 nurses. Data were collected included the socio-demographic, anthropometric and life style data of participants and items of hospital anxiety and depression scale questionnaire. SPSS was used for data analysis that were presented as mean ± SD and frequencies; number (n) and percentage (%). RESULTS: Consented 215 nurses were enrolled giving a response rate of 86%. The mean ± SD score of anxiety was 8.4 ± 3.9 and the mean ± SD score of depression was 6.6 ± 3.9 and varied significantly by gender. The prevalence of anxiety and depression was 28.8% and 16.7%, respectively. There was significant association between anxiety and hospital location, body mass index, physical activity and overtime work. The hospital location, South Asian ethnicity, smoking, physical activity and night shift were all showed significant association with depression. CONCLUSION: Our figures are much lower than some international and national studies but still are higher than others. However, they are alarming to the needs of changes to improve the quality of nurses' life so as to ensure better healthcare services that save both sides the emotional and economic burden.  
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