Prevalence of depression and its association with quality of life in clinically stable patients with COVID-19

Yu, Fang; Wen, Li; Deng, Hai Bao; Wang, Lei; Wang, Ying; Wang, Peihong; Bo, Hai; Cao, Jianzhong; Wang, Yu; Zhu, Li; Yang, Yuan; Cheung, Teris; Ng, Chee H.; Wu, Xinjuan; Xiang, Yu Tao

doi:10.1016/j.jad.2020.06.033

Cited by 191 publications

(218 citation statements)

References 33 publications

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“…The present ndings indicate that COVID-19 affects the mental health of all individuals, not only patients infected with the disease [42], but also those receiving online education during the quarantine. They also indicate that SOC contributes differentially to mental health status in males and females.…”

Section: Resultsmentioning

confidence: 59%

Factors associated with the mental health of adolescent university students during COVID-19 quarantine in Japan

Hirano

Aramaki

Ota

2020

Preprint

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Background: University students in Japan have been quarantined during the current COVID-19 pandemic. The resulting social avoidance may increase students’ anxiety about the pandemic and adversely affect their mental health. To obtain basic data for a university health policy, we investigated factors associated with the mental health status of 570 students of a national university in Japan during quarantine. Methods: Participants completed an online questionnaire assessing respondent characteristics (gender, age, department, domicile status), subjective sense of anxiety about COVID-19, and number of social supports. The General Health Questionnaire (GHQ)-12 was used as a marker for mental health status, and sense of coherence (SOC) was used as a marker for stress resistance. Chi-square tests, t-tests, Pearson’s correlation coefficients, and multiple regression analysis were conducted to identify factors associated with GHQ score. Two-way analysis of variance (ANOVA) was conducted to identify the interaction between anxiety score and SOC scores. Results: Females showed significantly more adverse mental health than males. Regardless of gender, the strongest factor associated with GHQ score was anxiety about COVID-19, which impaired mental health status, followed by SOC score, which improved mental health status. The ANOVA results showed a significant interaction effect on GHQ scores between anxiety and SOC score in males. High SOC scores mitigated the negative effect of anxiety on mental health more than did low SOC scores, especially in males with low to medium levels of anxiety.Conclusions: The results indicate that fear of COVID-19 impaired mental health status, but SOC worked as a buffer to mitigate the negative effect of anxiety on mental health, especially among male students. Given the health risks associated with gender, universities should provide psychological care to encourage students to maintain a confident daily routine and to foster higher SOC, especially for male students.

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Section: Resultsmentioning

confidence: 59%

Factors associated with the mental health of adolescent university students during COVID-19 quarantine in Japan

Hirano

Aramaki

Ota

2020

Preprint

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“…The median NOS was 3 (range 2-4). Twelve (39%) studies 43,44,72,73,75,85,92,93,95,96,105,106 had a high risk of bias (quality score <3), and 19 (61%) studies 70,71,74,86,[88][89][90][91]94,[97][98][99][100][101][102][103][104]107,108 had a low risk of bias (quality score ≥3). While a majority of the studies employed appropriate statistical methods, used validated screening tools, and had low nonrespondent rates, very few studies justified their choice of sample size or used random sampling.…”

Section: Study Characteristicsmentioning

confidence: 99%

“…The pooled prevalence of depression of 23 studies (n = 4028) 43,44,70,71,73,75,85,[87][88][89][92][93][94][95][96][98][99][100][101][104][105][106][107] was 45% (95% CI: 37-54%). There was significant serious between-study heterogeneity (I 2 = 96%, P Q < 0.01).…”

Section: The Pooled Prevalence Of Depressionmentioning

confidence: 99%

“…For depression assessment methods (see Fig. 3), nine studies 88,95,96,[98][99][100][106][107][108] used the criteria of PHQ-9 ≥5 with a pooled prevalence of 52% (95% CI: 45-59%, I 2 = 83%) and four studies 85,89,92,94 used SDS ≥50 with a pooled prevalence of 53% (95% CI: 42-65%, I 2 = 86%). Other criteria included HADS-D ≥8, 93,101 SDS ≥53, 43,44 and SCL-90 (depression subscale) ≥2, 104,105 which were used by two studies each and yielded a pooled prevalence of 20% (95% CI: 16-23%, I 2 = 0%), 53% (95% CI: 6-97%, I 2 = 97%), and 19% (95% CI: 17-22%, I 2 = 0%), respectively.…”

Section: The Pooled Prevalence Of Depressionmentioning

confidence: 99%

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The prevalence of depression, anxiety, and sleep disturbances in COVID‐19 patients: a meta‐analysis

Deng

Zhou

Hou

et al. 2020

Annals of the New York Academy of Sciences

630

499

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Evidence from previous coronavirus outbreaks has shown that infected patients are at risk for developing psychiatric and mental health disorders, such as depression, anxiety, and sleep disturbances. To construct a comprehensive picture of the mental health status in COVID-19 patients, we conducted a systematic review and randomeffects meta-analysis to assess the prevalence of depression, anxiety, and sleep disturbances in this population. We searched MEDLINE, EMBASE, PubMed, Web of Science, CINAHL, Wanfang Data, Wangfang Med Online, CNKI, and CQVIP for relevant articles, and we included 31 studies (n = 5153) in our analyses. We found that the pooled prevalence of depression was 45% (95% CI: 37-54%, I 2 = 96%), the pooled prevalence of anxiety was 47% (95% CI: 37-57%, I 2 = 97%), and the pooled prevalence of sleeping disturbances was 34% (95% CI: 19-50%, I 2 = 98%). We did not find any significant differences in the prevalence estimates between different genders; however, the depression and anxiety prevalence estimates varied based on different screening tools. More observational studies assessing the mental wellness of COVID-19 outpatients and COVID-19 patients from countries other than China are needed to further examine the psychological implications of COVID-19 infections.

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“…During the nationwide lockdown, people were socially isolated (8), and experienced negative emotions such as fear and stress (9) and lifestyle changes including reduced physical activity and increased sedentary time (10)(11)(12). The lockdown due to the epidemic of COVID-19 had a negative effect on mental health for both patients with COVID-19 (13,14) and general populations (15)(16)(17), also re ected by the health-related quality of life (HRQoL) (18,19).…”

Section: Introductionmentioning

confidence: 99%

Quality of life during the epidemic of COVID-19 and its associated factors among enterprise workers in East China

Chen¹,

Xu²,

Lin

et al. 2020

Preprint

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Background: The COVID-19 related lockdown and home confinement might have an important impact on the quality of life in enterprise workers. We investigated the quality of life during the epidemic in enterprise workers who just returned to work, and assessed its potential influencing factors to have a better understanding of the impact of COVID-19 epidemic lockdown and home confinement.Methods: This was a cross-sectional study of enterprise workers conducted in Deqing and Taizhou, Zhejiang Province, China. The Chinese version of EQ5D was used to assess life quality, and information about general characteristics and COVID-19 related factors was collected by a structured questionnaire, which was distributed through the social application “WeChat”.Results: A total of 2,435 participants were enrolled, 59.5% of which worked in Deqing. About 50% of the participants reported worries about the COVID-2019 epidemic and 40.1% had a centralized or home quarantine during the epidemic. The mean EQ-5D score and VAS were 0.990 and 93.5. Multiple logistic regression showed that the quality of life measures was related to physical activities (ORad=0.46) and keeping home ventilation (ORad=0.04) in Deqing, and were related to wearing a mask when going out (ORad=0.35), keeping home ventilation (ORad=0.16), unmarried status (ORad=2.38) and having a centralized or home quarantine (ORad=1.64) in Taizhou,Conclusions: The quality of life for returning enterprise workers in areas with different risks of COVID-19 was affected by different factors. Associated factors identified from this study would help develop proper intervention measures for enterprise workers to reduce the impact of large-scale public health events like the COVID-19 on their quality of life.

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Prevalence of depression and its association with quality of life in clinically stable patients with COVID-19

Cited by 191 publications

References 33 publications

Factors associated with the mental health of adolescent university students during COVID-19 quarantine in Japan

Factors associated with the mental health of adolescent university students during COVID-19 quarantine in Japan

The prevalence of depression, anxiety, and sleep disturbances in COVID‐19 patients: a meta‐analysis

Quality of life during the epidemic of COVID-19 and its associated factors among enterprise workers in East China

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