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1.
J Affect Disord ; 337: 50-56, 2023 09 15.
Article in English | MEDLINE | ID: covidwho-2327732

ABSTRACT

BACKGROUND: The number of COVID-19 infections has increased sharply and quickly after optimizing the COVID-19 response in China. In the context of this population-size infection, college students' psychological response is yet to be understood. METHODS: A cross-sectional study was designed to investigate anxiety, depression, insomnia, and post-traumatic stress disorder (PTSD) symptoms among college students from December 31, 2022, to January 7, 2023. The questionnaire included the Generalized Anxiety Disorder 7 (GAD-7), Patient Health Questionnaire 9 (PHQ-9), Insomnia Severity Index (ISI), Impact of Event Scale (IES-R), and self-designed questionnaire. RESULTS: Of the 22,624 respondents, the self-reported prevalence of anxiety, depression, insomnia, PTSD, and any of the four psychological symptoms appeared as 12.7 %, 25.8 %, 11.6 %, 7.9 %, and 29.7 %, respectively. The self-reported COVID-19 infection rate was 80.2 %. Changes in the place for learning, longer time online, not recovering after infection, a higher proportion of family member infection, insufficient drug reserve, worry about sequela after infection, future studies, or employment contributed to a higher risk of anxiety/depression/insomnia symptoms or PTSD symptoms. Multinomial logistic regression showed that those who spent more extended time on the Internet, recovered after infection, and had insufficient drug reserves were less likely to have PTSD than anxiety/depression/insomnia symptoms. LIMITATIONS: The study was a non-probability sampling survey. CONCLUSIONS: Anxiety, depression, insomnia, and PTSD were common psychological symptoms among college students when infection went through a large-scale population. This study highlights the importance of continuing to care for the psychological symptoms of college students, especially timely responses to their concerns related to the epidemic situation and COVID-19 infection.


Subject(s)
COVID-19 , Sleep Initiation and Maintenance Disorders , Stress Disorders, Post-Traumatic , Humans , COVID-19/epidemiology , Stress Disorders, Post-Traumatic/epidemiology , Depression/psychology , Sleep Initiation and Maintenance Disorders/epidemiology , Cross-Sectional Studies , SARS-CoV-2 , Anxiety/psychology , Anxiety Disorders/epidemiology , Students/psychology , China/epidemiology
2.
Front Psychiatry ; 13: 1010004, 2022.
Article in English | MEDLINE | ID: covidwho-2246226

ABSTRACT

Background: Previous studies have showed that individuals infected with COVID-19 were more likely to report psychological symptoms. However, little is known about the changes from testing positive to negative to positive again. Methods: This survey was conducted through the questionnaires including the 7-item Generalized Anxiety Disorder (GAD-7), the 9-item Patient Health Questionnaire (PHQ-9), as well as the Self-Rating Scale of Sleep (SRSS) to explore the psychological status of COVID-19 and re-positive cases.″re-positive″ is defined as a positive RT-PCR test at any time during the recovery period after testing negative. Results: A total of 94 COVID-19 patients presented the prevalence rates of anxiety, depression, insomnia, and any of the three psychological symptoms being 26.6, 8.6, 12.8, and 31.9%, respectively. Among these, 32 cases were re-tested positive during the recovery period, with the prevalence rates of anxiety, depression, insomnia, and any of the three psychological symptoms being 21.9, 18.7, 31.2, and 37.5%, respectively. The psychological status after re-positive showed a significant decrease in anxiety (P = 0.023), an increase in depression, and a significant rise in insomnia (P = 0.035). For those with no psychological symptoms during initial-positive, after re-positive, 5.88% reported anxiety, 5.88% reported depression, and 11.76% reported insomnia. For those who experienced only anxiety symptoms during initial-positive, after re-positive, 33.3% reported depression, and 33.3% reported insomnia. Conclusions: Our findings encompassed the urgent concern for anxiety in initial-positive COVID-19 patients, depression in re-positive COVID-19 patients, and insomnia in both initial and re-positive patients, hence enabling targeted interventions for appeasing the psychological burden of COVID-19 patients.

3.
Asian J Psychiatr ; 82: 103499, 2023 04.
Article in English | MEDLINE | ID: covidwho-2220403
4.
Brain Sci ; 12(11)2022 Nov 15.
Article in English | MEDLINE | ID: covidwho-2116251

ABSTRACT

In the post-COVID-19 era, significant changes have taken place regarding the epidemic, the economy, family and social life. However, it remains unclear how these changes encompass the psychological symptoms of college students. We carried out a cross-sectional study to investigate anxiety, depression, and post-traumatic stress disorder (PTSD) symptoms among college students from 10 November 2020, to 16 November 2020. The questionnaire included a self-designed canvas, Generalized Anxiety Disorder 7 (GAD-7), Patient Health Questionnaire 9 (PHQ-9), and Impact of Event Scale (IES-R). Factors associated with psychological symptoms were estimated by ordered and non-conditional logistic regression analysis. Of 4754 participants, 25.0%, 29.7%, 3.4%, 15.3%, 17.1%, and 2.9% reported anxiety, depression, PTSD symptoms, one, any two, and all three, respectively. In cases with anxiety or depression symptoms, there was a 9.11% comorbidity with PTSD. Factors associated with fears of being infected, social, family, and economic changes increased the risk of psychological symptoms in college students caused by COVID-19. Female college students, identified with anxiety or depression symptoms, were at a lower risk of developing PTSD symptoms (OR, 0.61, 95% CI: 0.43-0.86). Non-medical majors at university, rural residence, higher educational background, fear of taking public transport, and deterioration of family relationships increased the risk for PTSD symptoms among male respondents with anxiety or depression symptoms due to COVID-19. Factors correlated with psychological symptoms had expanded from the fear of being infected to extensive social, family, and economic changes caused by COVID-19. Therefore, screening and interventions for psychological symptoms should be consistently strengthened and more targeted to college students in the post-COVID-19 era.

5.
Frontiers in psychiatry ; 13, 2022.
Article in English | EuropePMC | ID: covidwho-2084274

ABSTRACT

Background Previous studies have showed that individuals infected with COVID-19 were more likely to report psychological symptoms. However, little is known about the changes from testing positive to negative to positive again. Methods This survey was conducted through the questionnaires including the 7-item Generalized Anxiety Disorder (GAD-7), the 9-item Patient Health Questionnaire (PHQ-9), as well as the Self-Rating Scale of Sleep (SRSS) to explore the psychological status of COVID-19 and re-positive cases. ″re-positive″ is defined as a positive RT-PCR test at any time during the recovery period after testing negative. Results A total of 94 COVID-19 patients presented the prevalence rates of anxiety, depression, insomnia, and any of the three psychological symptoms being 26.6, 8.6, 12.8, and 31.9%, respectively. Among these, 32 cases were re-tested positive during the recovery period, with the prevalence rates of anxiety, depression, insomnia, and any of the three psychological symptoms being 21.9, 18.7, 31.2, and 37.5%, respectively. The psychological status after re-positive showed a significant decrease in anxiety (P = 0.023), an increase in depression, and a significant rise in insomnia (P = 0.035). For those with no psychological symptoms during initial-positive, after re-positive, 5.88% reported anxiety, 5.88% reported depression, and 11.76% reported insomnia. For those who experienced only anxiety symptoms during initial-positive, after re-positive, 33.3% reported depression, and 33.3% reported insomnia. Conclusions Our findings encompassed the urgent concern for anxiety in initial-positive COVID-19 patients, depression in re-positive COVID-19 patients, and insomnia in both initial and re-positive patients, hence enabling targeted interventions for appeasing the psychological burden of COVID-19 patients.

6.
J Affect Disord ; 317: 79-83, 2022 11 15.
Article in English | MEDLINE | ID: covidwho-2004179

ABSTRACT

BACKGROUND: Pregnant women themselves are at higher risk for psychological symptoms. The impact of ongoing COVID-19 may increase the risk. However, it is uncertain whether COVID-19 affects pregnant women's psychological symptoms directly or indirectly being mediated. METHODS: This survey was conducted in four obstetrics and gynecology hospitals in Beijing from February 28, 2020, to April 26, 2020. Pregnant women who visited the antenatal-care clinic were mobilized to finish the online questionnaires, including the Generalized Anxiety Disorder 7-Item Scale, Patient Health Questionnaire-9, Connor-Davidson resilience scale, and Insomnia Severity Index. RESULTS: A total of 828 pregnant women were included in the analysis. The estimated self-reported rates of anxiety, depression, insomnia, and any of the three were 12.2 %, 24.3 %, 13.3 %, and 33.1 %, respectively. Mediating effect analysis showed that pregnant women's response to COVID-19 was not directly associated with psychological symptoms but indirectly through the mediating effect of maternal concerns, which accounted for 32.35 % of the total effect. Stratified analysis by psychological resilience showed that women's attitude toward COVID-19 (OR, 2.68, 95 % CI: 1.16-6.18) was associated with a higher risk of psychological symptoms in those with poor psychological resilience. LIMITATIONS: The study was a non-probability sampling survey, and the causal relationship between maternal concerns and psychological symptoms could not be determined due to the study's design. CONCLUSIONS: Under public health emergencies such as COVID-19, routine antenatal care should still be prioritized, and concerns related to childbirth-related caused by such emergencies should also be addressed, especially for those with weak psychological resilience.


Subject(s)
COVID-19 , Sleep Initiation and Maintenance Disorders , Anxiety/diagnosis , COVID-19/epidemiology , Depression/diagnosis , Emergencies , Female , Humans , Pregnancy , Pregnant Women/psychology , SARS-CoV-2 , Stress, Psychological/etiology , Surveys and Questionnaires
7.
Front Psychiatry ; 13: 947765, 2022.
Article in English | MEDLINE | ID: covidwho-1993850

ABSTRACT

COVID-19 may increase the risk of suicide, but the conclusion is still unclear. This study was designed to assess the impact of COVID-19 on suicide pre-, during, and post the first wave of COVID-19 in China. It was reported that online public searching was associated with their offline thoughts and behaviors. Therefore, this study was designed to explore the online search for suicide pre-, during, and post-COVID-19 in China. The keywords on suicide, COVID-19, unemployment, and depression were collected in 2019 and 2020 using the Baidu Search Index (BSI). A time-series analysis examined the dynamic correlations between BSI-COVID-19 and BSI-suicide. A generalized estimating equation model was used to calculate the coefficients of variables associated with the BSI-suicide. The BSI-suicide showed a significant increase (15.6%, p = 0.006) from the 5th to 9th week, which was also the point of the first wave of the COVID-19 outbreak. A time-series analysis between BSI-suicide and BSI-COVID-19 showed that the strongest correlation occurred at lag 1+ and lag 2+ week. In the pre-COVID-19 model, only BSI-depression was highly associated with BSI-suicide (ß = 1.38, p = 0.008). During the COVID-19 model, BSI-depression (ß = 1.77, p = 0.040) and BSI-COVID-19 (ß = 0.03, p < 0.001) were significantly associated with BSI-suicide. In the post-COVID-19 model, BSI depression (ß = 1.55, p = 0.010) was still highly associated with BSI-suicide. Meanwhile, BSI-unemployment (ß = 1.67, p = 0.007) appeared to be linked to BSI-suicide for the first time. There was a surge in suicide-related online searching during the early stage of the first wave of the COVID-19 outbreak. Online suicide search volume peaked 1-2 weeks after the COVID-19 peak. The BSI of factors associated with suicide varied at different stages of the COVID-19 pandemic. The findings in this study are preliminary and further research is needed to arrive at evidence of causality.

8.
Front Psychiatry ; 12: 738610, 2021.
Article in English | MEDLINE | ID: covidwho-1686547

ABSTRACT

OBJECTIVE: Lack of information about mental health status among medical staff during the epidemic of COVID-19 in China is one of the major barriers to psychological interventions. This paper aims to evaluate the contributions of perceived psychological feelings to the symptoms of common mental disorders among medical staff during the epidemic of COVID-19 in China. METHOD: A large sample of medical staff based on a non-probability sampling design was collected from February 17 to 24, 2020. The symptoms of common mental disorders were screened based on self-reported instruments to evaluate psychological distress, anxious symptoms, and depressive symptoms during the past week. Perceived psychological feelings were based on self-report. Logistic regressions and elastic net regularizations were used to evaluate the independent effect of the psychological feelings controlled by hospitals and participants characteristics. RESULTS: Totally 4,677 medical staff completed the survey. The prevalence of psychological distress, anxious symptoms, and depressive symptoms were 15.9% (95% CI 14.8-16.9), 16.0% (95% CI 15.0-17.1), and 34.6% (95% CI 33.2-35.9). Feelings of having adequate personal protective equipment, receiving enough emotional supports from both family members and colleagues were significantly associated with fewer symptoms of common mental disorders, while the feelings of overloaded work and insufficient rest times contributed to more psychological problems. CONCLUSIONS: Psychological feelings make important contributions to the symptoms of common mental disorders of medical staff during the epidemic of COVID-19. Strategies of psychological aids or interventions could be developed based on these feelings.

9.
Front Psychiatry ; 11: 588693, 2020.
Article in English | MEDLINE | ID: covidwho-972793

ABSTRACT

This study aimed to explore the psychological situation and the influence of the outbreak of COVID-19 on college students. An online questionnaire survey was conducted among 3,092 Chinese college students who were quarantined at home as a result of the COVID-19 pandemic. The survey tools included the Generalized Anxiety Disorder 7-Item Scale (GAD-7), the Perceived Stress Scale (PSS-10), and the Self-Rating Scale of Sleep (SRSS). Of all the respondents, the prevalence of anxiety symptoms, sleep problems, any of the two, and both of the two, were 16.8, 13.5, 25.1, and 5.3%, respectively. Of the participants, 43.7% of the college students had higher perceived stress. Factors associated with anxiety symptoms included reading the daily news with higher frequency (1-3 times; 4-7 times; more than 7 times), having sleep problems, higher stress, and carelessness with the number of remaining masks. Factors associated with sleep problems included postgraduates, reading the news with higher frequency daily (1-3 times), the frequency of going out per week (1-3 times), having anxiety symptoms and higher stress. Factors associated with higher perceived stress included reading the daily news with higher frequency (4-7 times), anxiety about the number of remaining masks (1-10; more than 20), having anxiety symptoms, and having sleep problems. The prevalence of anxiety symptoms, sleep problems, and higher perceived stress among college students was high during the COVID-19 outbreak. Particular attention should be paid to psychological support for college students quarantined at home, especially those at high risk of psychological problems.

11.
J Affect Disord ; 278: 144-148, 2021 01 01.
Article in English | MEDLINE | ID: covidwho-746020

ABSTRACT

BACKGROUND: It is well known that unexpected pandemic has led to an increase in mental health problems among a variety of populations. METHODS: In this study, an online non-probability sample survey was used to anonymously investigate the anxiety and depression symptoms among medical staff under the COVID-19 outbreak. The questionnaire included Perceived Stress Scale-10 (PSS-10), Generalized Anxiety Disorder 7-Item Scale (GAD-7) and Patient Health Questionnaire-9 (PHQ-9). Factors associated with anxiety and depression symptoms were estimated by logistic regression analysis. RESULTS: A total of 1090 medical staff were investigated in this study. The estimated self-reported rates of anxiety symptoms, depression symptoms and both of the two were 13.3%, 18.4% and 23.9% respectively. Factors associated with self-reported anxiety symptoms include married status (OR=2.3, 95%CI: 1.2, 4.4), not living alone (OR=0.4, 95%CI: 0.2, 0.7), never confiding their troubles to others (OR=2.2, 95%CI: 1.4, 3.5) and higher stress (OR=14.4, 95%CI: 7.8, 26.4). Factors associated with self-reported depression symptoms include not living alone (OR=0.4, 95%CI: 0.3, 0.7), sometimes/often getting care from neighbours (OR=0.6, 95%CI: 0.4, 0.9), never confiding their troubles to others (OR=2.0, 95%CI: 1.3, 3.0) and higher stress (OR=9.7, 95%CI: 6.2, 15.2). LIMITATIONS: The study was a non-probability sample survey. Besides, scales used in this study can only identify mental health states. CONCLUSIONS: Under outbreak of COVID-19, self-reported rates of anxiety symptoms and depression symptoms were high in investigated medical staff. Psychological interventions for those at high risk with common mental problems should be integrated into the work plan to fight against the epidemic.


Subject(s)
Anxiety Disorders/epidemiology , Anxiety Disorders/psychology , COVID-19/psychology , Depressive Disorder/epidemiology , Depressive Disorder/psychology , Medical Staff/psychology , Adult , China/epidemiology , Cross-Sectional Studies , Female , Humans , Male , Medical Staff/statistics & numerical data , Pandemics , Patient Health Questionnaire , Prevalence
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