Depression, Anxiety, Stress, and Their Associations With Quality of Life in a Nationwide Sample of Psychiatrists in China During the COVID-19 Pandemic

Li, Mengdie; Xia, L.; Yang, Yating; Zhang, Ling; Zhang, Shujing; Liu, Tingfang; Liu, Yuanli; Kaslow, Nadine J.; Jiang, Feng; Tang, Yi-Lang; Liu, Huanzhong

doi:10.3389/fpsyg.2022.881408

Cited by 15 publications

(12 citation statements)

References 66 publications

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“…On the other hand, stress and depression were the main factors affecting the health-related quality of life in this study. This finding is similar to the results of previous studies [ 12 , 13 , 36 , 37 ]. The degrees of anxiety, stress, and depression were lower than those reported in previous studies [ 6 , 9 ].…”

Section: Discussionsupporting

confidence: 93%

Factors Affecting Health-Related Quality of Life among Healthcare Workers during COVID-19: A Cross-Sectional Study

Jung¹,

2022

Medicina

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Background and Objectives: Healthcare workers are threatened by psychological well-being and mental health problems in disasters related to new infectious diseases, such as COVID-19, and this can also have a negative impact on health-related quality of life. Health-related quality of life of healthcare workers should not be neglected because it is closely related to patient safety. This study aimed to identify the relationship between mental health problems, psychological safety, sleep quality, and health-related quality of life of healthcare workers and factors that influence health-related quality of life during the COVID-19 pandemic. Materials and Methods: Data were collected from 301 healthcare workers working in five general hospitals with more than 300 beds in two provinces from 5 July 2021 to 16 July 2021. Data were analyzed using SPSS WIN 27.0. The data were analyzed using t-test, one-way analysis of variance, and stepwise multiple regression. Results: Our results showed that there was a significant difference in regular exercise, religion, economic status, and sleep quality. The DASS-21 stress, economic status, and alcohol consumption were factors affecting the total health-related quality of life. In the subcategories, the physical component score was influenced by DASS-21 stress and economic status, while the mental component score was influenced by DASS-21 depression, economic status, alcohol consumption, and sleep quality. Conclusions: Health care workers need continuous and active monitoring of their health level and quality of life, as they are at a risk of increasing work burden and infection due to prolonged exposure to COVID-19 as well as mental health issues such as stress and depression. Additionally, at the individual level, active participation in various programs that can raise awareness of health-related quality of life along with physical health promotion activities should be encouraged. At the organizational level, it is necessary to prepare a compensation system, such as adjusting the workload of healthcare workers and ensuring break time; at the government level, disaster-related policies are needed to ensure a safe working environment for health care workers.

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Section: Discussionsupporting

confidence: 93%

Factors Affecting Health-Related Quality of Life among Healthcare Workers during COVID-19: A Cross-Sectional Study

Jung¹,

2022

Medicina

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“…After duplication removal and preliminary screening by title and abstract, we were left with 209 full-text papers for further assessment. Finally, 35 eligible studies (Ahn et al, 2021; Akova, Kiliç, & Özdemir, 2022; Al-Humadi et al, 2021; Al Maqbali & Al Khadhuri, 2021; Awano et al, 2020; Azoulay et al, 2020; Chatzittofis, Karanikola, Michailidou, & Constantinidou, 2021; Gu, Zhu, & Xu, 2022; Hennein, Mew, & Lowe, 2021; Hong et al, 2021; Huang et al, 2021; Işik, Kirli, & Özdemir, 2021; Khanal, Devkota, Dahal, Paudel, & Joshi, 2020; Lasalvia et al, 2021; Li et al, 2022, 2020a, 2020b; Mekonen, Shetie, & Muluneh, 2020; Mosheva et al, 2021; Napoli, 2022; Ning et al, 2020; Osório et al, 2021; Pandey et al, 2021; Pazmiño Erazo, Alvear Velásquez, Saltos Chávez, & Pazmiño Pullas, 2021; Pouralizadeh et al, 2020; Quintana-Domeque et al, 2021; Shah et al, 2021; Şahin et al, 2020; Vlah Tomičević & Lang, 2021; Wang et al, 2020, 2021; Xiao et al, 2020; Xing et al, 2021; Zheng et al, 2021; Zhu et al, 2020) (two were in Chinese) were included in the current meta-analysis. The flowchart of the selection process is presented in Fig.…”

Section: Resultsmentioning

confidence: 99%

“…All studies were cross-sectional. Thirteen studies were conducted in China (Gu et al, 2022; Hong et al, 2021; Huang et al, 2021; Li et al, 2022, 2020a, 2020b; Ning et al, 2020; Wang et al, 2020, 2021; Xiao et al, 2020; Xing et al, 2021; Zheng et al, 2021; Zhu et al, 2020), 10 studies (Ahn et al, 2021; Akova et al, 2022; Al Maqbali & Al Khadhuri, 2021; Awano et al, 2020; Işik et al, 2021; Khanal et al, 2020; Mosheva et al, 2021; Pandey et al, 2021; Pouralizadeh et al, 2020; Şahin et al, 2020) were conducted in other Asian countries such as Nepal and Turkey, five studies (Azoulay et al, 2020; Lasalvia et al, 2021; Napoli, 2022; Quintana-Domeque et al, 2021; Vlah Tomičević & Lang, 2021) in Europe, three studies (Chatzittofis et al, 2021; Osório et al, 2021; Pazmiño Erazo et al, 2021) in South America, two studies (Al-Humadi et al, 2021; Hennein et al, 2021) in North America, and two studies (Mekonen et al, 2020; Shah et al, 2021) in Africa. A total of 44 362 HCWs were included in this meta-analysis, including nurses, doctors, and other HCWs such as pharmacists, laboratory personnel, physiotherapists, administrative staff, and so on.…”

Section: Resultsmentioning

confidence: 99%

“…Furthermore, the HCWs could be further categorized into frontline, non-frontline, or mixed groups based on their roles and responsibilities. Eighteen studies (Ahn et al, 2021; Al-Humadi et al, 2021; Chatzittofis et al, 2021; Gu et al, 2022; Hennein et al, 2021; Hong et al, 2021; Huang et al, 2021; Lasalvia et al, 2021; Mosheva et al, 2021; Napoli, 2022; Osório et al, 2021; Pazmiño Erazo et al, 2021; Pouralizadeh et al, 2020; Quintana-Domeque et al, 2021; Shah et al, 2021; Şahin et al, 2020; Wang et al, 2020; Zhu et al, 2020) used the PHQ-9 to define depression, seven (Akova et al, 2022; Li et al, 2022, 2020b; Mekonen et al, 2020; Pandey et al, 2021; Vlah Tomičević & Lang, 2021; Zheng et al, 2021) used the DASS, five (Al Maqbali & Al Khadhuri, 2021; Azoulay et al, 2020; Işik et al, 2021; Khanal et al, 2020; Xiao et al, 2020) used the HADS-D, four (Li et al, 2020a; Ning et al, 2020; Wang et al, 2021; Xing et al, 2021) used the SDS, and one (Awano et al, 2020) used the CES-D. On the basis of the AHRQ grading system, six studies were classified as high quality, and 29 studies were categorized as medium quality.…”

Section: Resultsmentioning

confidence: 99%

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Factors associated with depression among healthcare workers during the COVID-19 pandemic: a systematic review and meta-analysis

Tian,

Qiao,

Teng

et al. 2023

Psychol. Med.

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The COVID-19 pandemic has had a profound impact on the mental health of healthcare workers (HCWs). We aimed to identify the factors associated with depression among HCWs during the pandemic. We conducted literature search using eight electronic databases up to July 27 2022. Observational studies with more than 200 participants investigating correlates of depression in HCWs after COVID-19 outbreak were included. We used fixed- and random-effects models to pool odds ratios (ORs) across studies, and Cochran's chi-squared test and I 2 statistics to assess study heterogeneity. Publication bias was evaluated by funnel plots. Thirty-five studies involving 44,362 HCWs met the inclusion criteria. Female (OR=1.50, 95% CI [1.23,1.84]), single (OR=1.36, 95% CI [1.21,1.54]), nurse (OR=1.69, 95% CI [1.28,2.25]), history of mental diseases (OR=2.53, 95% CI [1.78,3.58]), frontline (OR=1.79, 95% CI [1.38,2.32]), health anxiety due to COVID-19 (OR=1.88, 95% CI [1.29,2.76]), working in isolation wards (OR=1.98, 95% CI [1.38,2.84]), and insufficient personal protective equipment (OR=1.49, 95% CI [1.33,1.67]) were associated with increased risk of depression. Instead, HCWs with a positive professional prospect (OR=0.34, 95% CI [0.24,0.49]) were less likely to be depressed. This meta-analysis provides up-to-date evidence on the factors linked to depression among HCWs during the COVID-19 pandemic. Given the persistent threats posed by COVID-19, early screening is crucial for the intervention and prevention of depression in HCWs.

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“…One of the major risk factors for increased mental problems might be the heavy workload, especially frequent night shifts. Studies consistently reported that night shifts were associated with a higher risk of burnout, sleep impairment, depression, anxiety, and low quality of life among healthcare workers (5)(6)(7)(8)(9)(10).…”

Section: Introductionmentioning

confidence: 99%

Night shifts, insomnia, anxiety, and depression among Chinese nurses during the COVID-19 pandemic remission period: A network approach

Peng

Liang

Wang

et al. 2022

Front. Public Health

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BackgroundThe outbreak of the COVID-19 pandemic imposed a heavy workload on nurses with more frequent night shifts, which led to higher levels of insomnia, depression, and anxiety among nurses. The study aimed to describe the symptom-symptom interaction of depression, anxiety, and insomnia among nurses and to evaluate the impact of night shifts on mental distress via a network model.MethodsWe recruited 4,188 nurses from six hospitals in December 2020. We used the Insomnia Severity Index, Patient Health Questionnaire-9, and Generalized Anxiety Disorder Scale-7 to assess insomnia, depression, and anxiety, respectively. We used the gaussian graphical model to estimate the network. Index expected influence and bridge expected influence was adapted to identify the central and bridge symptoms within the network. We assessed the impact of night shifts on mental distress and compared the network structure based on COVID-19 frontline experience.ResultsThe prevalence of depression, anxiety, and insomnia was 59, 46, and 55%, respectively. Nurses with night shifts were at a higher risk for the three mental disorders. “Sleep maintenance” was the central symptom. “Fatigue,” “Motor,” “Restlessness,” and “Feeling afraid” were bridge symptoms. Night shifts were strongly associated with sleep onset trouble. COVID-19 frontline experience did not affect the network structure.Conclusion“Sleep maintenance,” “Fatigue,” “Motor,” and “Restlessness” were important in maintaining the symptom network of anxiety, depression, and insomnia in nurses. Further interventions should prioritize these symptoms.

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Depression, Anxiety, Stress, and Their Associations With Quality of Life in a Nationwide Sample of Psychiatrists in China During the COVID-19 Pandemic

Cited by 15 publications

References 66 publications

Factors Affecting Health-Related Quality of Life among Healthcare Workers during COVID-19: A Cross-Sectional Study

Factors Affecting Health-Related Quality of Life among Healthcare Workers during COVID-19: A Cross-Sectional Study

Factors associated with depression among healthcare workers during the COVID-19 pandemic: a systematic review and meta-analysis

Night shifts, insomnia, anxiety, and depression among Chinese nurses during the COVID-19 pandemic remission period: A network approach

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