生活质量关系与科维-19大流行期间公共雇员抑郁的风险X大学雇员

Shoma Rizkifani, Muhammad Akib Yuswar, Eka Kartika Untari, Nia Resseda
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摘要

COVID-19大流行对生活质量的子维度产生了重大负面影响,生活质量的下降也与抑郁水平相关。本研究旨在确定COVID-19大流行期间X大学公职人员的生活质量与抑郁风险之间的关系。本研究是一项分析性观察研究,采用横断面分析方法,样本数量为121名受访者,采用有目的抽样技术选择。数据通过填写自我资料、生活质量问卷(EQ-5D-5L)和抑郁问卷(PHQ-9)获得。本研究使用的分析是单变量分析和双变量分析。双变量分析采用Spearman相关检验。调查结果显示,大多数受访者为45岁的男性。受访者的生活质量水平有良好的生活质量类别多达57%,贫困的生活质量水平高达43%的受访者有一定程度的抑郁与轻度抑郁类别多达26.4%,中度抑郁水平高达5.8%和严重的抑郁水平高达2.5%。生活质量与抑郁风险之间存在显著性关系,显著性值为0.000,且负向显著性强度足够。本研究得出结论,在COVID-19大流行期间,X大学公职人员的生活质量与抑郁风险之间存在显著的负相关关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hubungan Kualitas Hidup Dengan Risiko Depresi Pegawai Publik Universitas X Dimasa Pandemi COVID-19
COVID-19 pandemic has had a significant negative impact on the sub-dimension of quality of life, a decrease in quality of life is also correlated with levels of depression. This study aimed to determine the relationship between quality of life and the risk of depression in X University public employees during the COVID-19 pandemic. This research is an analytic observational study and uses a cross-sectional analytic approach, the number of samples is 121 respondents who were selected using a purposive sampling technique. Data were obtained from filling out self-data, quality of life questionnaire (EQ-5D-5L), and depression questionnaire (PHQ-9). The analysis used in this research is a univariate analysis and bivariate analysis. Bivariate analysis using Spearman correlation test. The results showed that most respondents were male, aged 45 years. Respondents have a level of quality of life with a good quality of life category of as much as 57% and a poor quality of life level of as much as 43% and respondents have a level of depression with a mild depression category as much as 26.4%, a moderate depression level as much as 5.8% and a severe depression level as much as 2.5%. The relationship between quality of life and the risk of depression was found to be significant with a significance value of 0.000 with sufficient strength in the negative direction. This study concludes that there is a significant negative relationship between quality of life and the risk of depression in X University public employees during the COVID-19 pandemic.
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