Insomnia and Associated Social Factors among Medical Support Staff during the Covid-19 Pandemic.

Mymensingh medical journal : MMJ Pub Date : 2025-01-01
F Ahmed, J Ara, M Nurunnabi, F Akter
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Abstract

The pandemic Covid-19 not only caused great public health problems but also caused enormous distress, especially for medical staff. The cross-sectional study aimed to investigate the prevalence rate of insomnia and to confirm the social factors among medical support staff in hospitals during the Covid-19 pandemic from 1st July 2020 to December 31st 2020. This study was conducted at Dhaka Medical College and Hospital (DMCH), Kurmitola General Hospital (KGH), Kuwait Bangladesh Friendship Government Hospital and Mugda Medical College and Hospital located at Dhaka and Tungipara UHC from Tungipara, Gopalganj, Bangladesh. Medical support staff in the Dhaka division was recruited. The face-to-face interview was conducted, obtained demographic data and asked self-design questions related to the Covid-19 pandemic and insomnia. Chi-square analysis was done to examine the associations between socio-demographic factors and insomnia symptoms. There were a total of 289 participants in our study. Participants 53(19.4%) had insomnia symptoms according to the Insomnia Severity Index (ISI) (total score ≥8). The chi-square test revealed that insomnia symptoms were associated with uncertainty in effective disease control (p=0.000, OR = 3.377, 95% CI = 1.842 - 6.189), worry about getting infected (p=0.001, OR = 2.748, 95% CI = 1.457 - 5.181). This study found that nearly one-fifth of the medical support staff suffered insomnia symptoms during the Covid-19 pandemic. The related factors included uncertainty in effective disease control and worry about getting infected.

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新冠肺炎疫情期间医护人员失眠及相关社会因素分析
新冠肺炎疫情不仅造成了严重的公共卫生问题,也给医护人员带来了巨大的痛苦。本研究旨在调查2020年7月1日至2020年12月31日新冠肺炎大流行期间医院医护人员失眠患病率,并确认社会因素。本研究在达卡医学院和医院(DMCH)、Kurmitola总医院(KGH)、科威特孟加拉国友谊政府医院和位于达卡的Mugda医学院和医院以及来自孟加拉国戈帕甘杰通吉帕拉的通吉帕拉UHC进行。征聘了达卡司的医疗支助人员。进行面对面访谈,获取人口统计数据,并提出与新冠肺炎大流行和失眠相关的自我设计问题。卡方分析检验社会人口学因素与失眠症状之间的关系。我们的研究共有289名参与者。根据失眠严重程度指数(ISI)(总分≥8),53名(19.4%)参与者有失眠症状。卡方检验显示,失眠症状与对疾病有效控制的不确定性(p=0.000, OR = 3.377, 95% CI = 1.842 ~ 6.189)、担心感染相关(p=0.001, OR = 2.748, 95% CI = 1.457 ~ 5.181)。该研究发现,近五分之一的医疗支持人员在新冠肺炎大流行期间出现失眠症状。相关因素包括对疾病有效控制的不确定性和对感染的担忧。
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