Associations between depressive symptoms and quality of life among residents of Wuhan, China during the later stage of the COVID-19 pandemic: A network analysis

Zhao, Yanjie; Zhang, Shufang; Li, Wen; Zhang, Ling; Guo, Tong; Cheung, Teris; Jackson, Todd; Yang, Bing Xiang; Xiang, Yu‐Tao

doi:10.1016/j.jad.2022.08.104

Cited by 11 publications

(6 citation statements)

References 89 publications

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“…This finding indicated that the sleep-related symptoms might mainly manifest as daytime disturbances such as sleepiness in COVID-19 survivors. A comparative study in sleep disturbances between COVID-19 patients survivors, which replicated previous findings in the general population during the pandemic (38,39). The multidimensional nature of fatigue and the overlap between fatigue and symptoms of depression made it hard to evaluate the relationship between fatigue and other mental distress (40).…”

Section: Discussionsupporting

confidence: 64%

A network analysis of the long-term quality of life and mental distress of COVID-19 survivors 1 year after hospital discharge

Peng

Wang

et al. 2023

Front. Public Health

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ObjectivesCOVID-19 survivors suffer from persistent mental distress and impaired quality of life (QOL) after recovery from the infection. However, the symptom-symptom interaction between these psychological variables remained unexplored. The present study aimed to determine the symptom network of mental distress (depression, anxiety, sleep disturbance, fatigue, and post-traumatic stress disorder) and their association with QOL among 535 COVID-19 survivors 1 year after hospital discharge.Methods9-item Patient Health Questionnaire, 7-item Generalized Anxiety Disorder Scale, Chalder fatigue scale, Impact of Event Scale-Revised, Pittsburgh Sleep Quality Index, and 36-Item Short-Form Health Survey were applied to measure depression, anxiety, fatigue, PTSD, sleep disturbances, and QOL, respectively. Two networks were estimated using Gaussian graphical model. Network 1 consisted of mental symptoms to determine the central and bridge symptoms. Network 2 additionally included QOL to determine which mental symptoms were mostly related to QOL.Results60% of the COVID-19 survivors experienced mental distress 1 year after hospital discharge. Uncontrollable and excessive worry, psychomotor symptoms, intrusion, and daytime dysfunction were the most central symptoms. Daytime dysfunction and fatigue (especially mental fatigue and loss of energy) served as the bridge symptoms across the mental distress network and exhibited the most substantial association with QOL.ConclusionOur study demonstrated several key symptoms that played a vital role in mental distress and QOL among COVID-19 survivors. Prompt screening and targeted interventions for these symptoms might hold great promise in preventing mental distress and improving QOL in COVID-19 survivors.

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Section: Discussionsupporting

confidence: 64%

A network analysis of the long-term quality of life and mental distress of COVID-19 survivors 1 year after hospital discharge

Peng

Wang

et al. 2023

Front. Public Health

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“…In the flow network model of QoL and depression, the top three symptoms that negatively correlated with QoL included “Fatigue” (PHQ4), “Suicide” (PHQ9), and “Guilt” (PHQ6). During the 618 COVID-19 wave, fatigue might be caused by lifestyle changes due to the lockdown measures and decreased outdoor physical activities ( McIlvenny et al, 2000 ; Booth et al, 2012 ; Zhao et al, 2022b ). As such, adequate physical exercise could improve physical performance and increase QOL ( Mehnert et al, 2011 ; Jakobsen et al, 2017 ; Dauwan et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Depression and quality of life among Macau residents in the 2022 COVID-19 pandemic wave from the perspective of network analysis

et al. 2023

Self Cite

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BackgroundIn the summer of 2022, Macau experienced a surge of COVID-19 infections (the 618 COVID-19 wave), which had serious effects on mental health and quality of life (QoL). However, there is scant research on mental health problems and QoL among Macau residents during the 618 COVID-19 wave. This study examined the network structure of depressive symptoms (hereafter depression), and the interconnection between different depressive symptoms and QoL among Macau residents during this period.MethodA cross-sectional study was conducted between 26th July and 9th September 2022. Depressive symptoms were measured with the 9-item Patient Health Questionnaire (PHQ-9), while the global QoL was measured with the two items of the World Health Organization Quality of Life-brief version (WHOQOL-BREF). Correlates of depression were explored using univariate and multivariate analyses. The association between depression and QoL was investigated using analysis of covariance (ANCOVA). Network analysis was used to evaluate the structure of depression. The centrality index “Expected Influence” (EI) was used to identify the most central symptoms and the flow function was used to identify depressive symptoms that had a direct bearing on QoL.ResultsA total 1,008 participants were included in this study. The overall prevalence of depression was 62.5% (n = 630; 95% CI = 60.00–65.00%). Having depression was significantly associated with younger age (OR = 0.970; p < 0.001), anxiety (OR = 1.515; p < 0.001), fatigue (OR = 1.338; p < 0.001), and economic loss (OR = 1.933; p = 0.026). Participants with depression had lower QoL F (1, 1,008) =5.538, p = 0.019). The most central symptoms included PHQ2 (“Sad Mood”) (EI: 1.044), PHQ4 (“Fatigue”) (EI: 1.016), and PHQ6 (“Guilt”) (EI: 0.975) in the depression network model, while PHQ4 (“Fatigue”), PHQ9 (“Suicide”), and PHQ6 (“Guilt”) had strong negative associations with QoL.ConclusionDepression was common among Macao residents during the 618 COVID-19 wave. Given the negative impact of depression on QoL, interventions targeting central symptoms identified in the network model (e.g., cognitive behavioral therapy) should be developed and implemented for Macau residents with depression.

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“…The pandemic has had negative effects on many areas of life. In a study conducted in China, the first 2 items of WHOQOL-BREF were used to evaluate the impact of the epidemic on quality of life [19]. On the other hand, Chopra et al developed a survey of the impact of COVID-19 on lifestyle-related behaviors to assess the effects on eating behavior, sleep, and activity [10].…”

Section: Discussionmentioning

confidence: 99%

Pandemic process status questionnaire: Development and psychometric properties

CANDIRI¹,

Talu²

2023

Med-Science

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The pandemic process has caused significant changes in many areas of daily life. The aim is to develop a new questionnaire to evaluate the changes that occurred during the pandemic process and to examine the psychometric properties of this questionnaire. For face validity, 10 individuals were asked to interpret the questions. The Pandemic Process Status Questionnaire was tested with the help of a questionnaire created with the help of Google Forms. In order to evaluate the content validity, the content validity index and content validity ratio were used in line with the opinions of 7 experts. A pilot test was carried out. Exploratory factor analysis was performed for construct validity. The World Health Organization Quality of Life-brief version was used for convergence validity. A total of 25 items with an impact score of less than 1.5 in face validity were deleted. According to the content validity index, 15 items and 21 items according to the content validity rate were removed. In the pilot application, 5 items with an item-total correlation below 0.3 were deleted. The results of the exploratory factor analysis provided 6 dimensions: general status, physical status, psychological status, social and economic status, concerns about the pandemic, and eating habits. This structure explained 71.77% of the total variance. The questionnaire showed a weak correlation with the World Health Organization quality of life-Short Form (r=0.26). The Pandemic Process Status Questionnaire is a short and valid tool to summarize the situation encountered during the pandemic process.

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Associations between depressive symptoms and quality of life among residents of Wuhan, China during the later stage of the COVID-19 pandemic: A network analysis

Cited by 11 publications

References 89 publications

A network analysis of the long-term quality of life and mental distress of COVID-19 survivors 1 year after hospital discharge

A network analysis of the long-term quality of life and mental distress of COVID-19 survivors 1 year after hospital discharge

Depression and quality of life among Macau residents in the 2022 COVID-19 pandemic wave from the perspective of network analysis

Pandemic process status questionnaire: Development and psychometric properties

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