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2.
Transl Psychiatry ; 11(1): 638, 2021 12 17.
Article in English | MEDLINE | ID: covidwho-1585879

ABSTRACT

Mental health problems are common in college students even in the late stage of the coronavirus disease 2019 (COVID-19) outbreak. Network analysis is a novel approach to explore interactions of mental disorders at the symptom level. The aim of this study was to elucidate characteristics of depressive and anxiety symptoms network in college students in the late stage of the COVID-19 outbreak. A total of 3062 college students were included. The seven-item Generalized Anxiety Disorder Scale (GAD-7) and nine-item Patient Health Questionnaire (PHQ-9) were used to measure anxiety and depressive symptoms, respectively. Central symptoms and bridge symptoms were identified based on centrality and bridge centrality indices, respectively. Network stability was examined using the case-dropping procedure. The strongest direct relation was between anxiety symptoms "Nervousness" and "Uncontrollable worry". "Fatigue" has the highest node strength in the anxiety and depression network, followed by "Excessive worry", "Trouble relaxing", and "Uncontrollable worry". "Motor" showed the highest bridge strength, followed by "Feeling afraid" and "Restlessness". The whole network was robust in both stability and accuracy tests. Central symptoms "Fatigue", "Excessive worry", "Trouble relaxing" and "Uncontrollable worry", and critical bridge symptoms "Motor", "Feeling afraid" and "Restlessness" were highlighted in this study. Targeting interventions to these symptoms may be important to effectively alleviate the overall level of anxiety and depressive symptoms in college students.


Subject(s)
COVID-19 , Depression , Anxiety/epidemiology , Depression/epidemiology , Disease Outbreaks , Humans , SARS-CoV-2 , Students
3.
Front Psychiatry ; 12: 657021, 2021.
Article in English | MEDLINE | ID: covidwho-1542380

ABSTRACT

Background: Health professionals including nurses have experienced heavy workload and great physical and mental health challenges during the coronavirus disease 19 (COVID-19) pandemic, which may affect nursing students' career choices. This study examined the changes in nursing students' career choices after the onset of the COVID-19 pandemic in China. Methods: This study was conducted in five University nursing schools in China between September 14, 2020 and October 7, 2020. Career choices before and after the COVID-19 pandemic were collected and analyzed. Results: In total, 1,070 nursing students participated in the study. The reported choice of nursing as future career increased from 50.9% [95% confidence interval (CI): 47.9-53.9%] before the COVID-19 pandemic to 62.7% (95%CI: 59.8-65.6%) after the onset of COVID-19 pandemic. Students who chose nursing as their future career following the COVID-19 outbreak had less severe depression and anxiety compared to those who did not choose nursing, but the associations of depression and anxiety with career choice disappeared in multivariable analyses. Binary logistic regression analysis revealed that male gender [odds ratio (OR) = 0.68, 95% CI: 0.50-0.91], rural residence (OR = 1.53, 95%CI: 1.17-2.00), fourth year students (OR = 0.50, 95%CI: 0.35-0.72), negative experiences during the COVID-19 pandemic (OR = 0.66, 95%CI: 0.47-0.92), and good health (OR = 4.6, 95%CI: 1.78-11.87) were significantly associated with the choice of nursing as future career after the onset of the COVID-19 pandemic. Conclusions: The COVID-19 pandemic appeared to have a positive influence on the career choice of nursing among Chinese nursing students.

4.
Lancet ; 398(10314): 1871-1872, 2021 11 20.
Article in English | MEDLINE | ID: covidwho-1521619

Subject(s)
COVID-19 , Humans , SARS-CoV-2 , Survivors
5.
Nat Sci Sleep ; 13: 1921-1930, 2021.
Article in English | MEDLINE | ID: covidwho-1503595

ABSTRACT

Purpose: The coronavirus disease 2019 (COVID-19) pandemic is associated with increased risk of insomnia symptoms (insomnia hereafter) in health-care professionals. Network analysis is a novel approach in linking mechanisms at the symptom level. The aim of this study was to characterize the insomnia network structure in mental health professionals during the COVID-19 pandemic. Patients and Methods: A total of 10,516 mental health professionals were recruited from psychiatric hospitals or psychiatric units of general hospitals nationwide between March 15 and March 20, 2020. Insomnia was assessed with the insomnia severity index (ISI). Centrality index (ie, strength) was used to identify symptoms central to the network. The stability of network was examined using a case-dropping bootstrap procedure. The network structures between different genders were also compared. Results: The overall network model showed that the item ISI7 (interference with daytime functioning) was the most central symptom in mental health professionals with the highest strength. The network was robust in stability and accuracy tests. The item ISI4 (sleep dissatisfaction) was connected to the two main clusters of insomnia symptoms (ie, the cluster of nocturnal and daytime symptoms). No significant gender network difference was found. Conclusion: Interference with daytime functioning was the most central symptom, suggesting that it may be an important treatment outcome measure for insomnia. Appropriate treatments, such as stimulus control techniques, cognitive behavioral therapy and relaxation training, could be developed. Moreover, addressing sleep satisfaction in treatment could simultaneously ameliorate daytime and nocturnal symptoms.

6.
Vaccines (Basel) ; 9(11)2021 Nov 05.
Article in English | MEDLINE | ID: covidwho-1502548

ABSTRACT

BACKGROUND: Following the initial manufacture of COVID-19 vaccines, numerous studies have investigated factors that influence people's vaccination intentions. However, no studies have examined links of vaccination attitudes with body-related attitudes, especially body appreciation. To address this gap in the literature, we conducted this study to disentangle the relationship between college students' COVID-19 vaccination intentions and body appreciation. METHOD: A cross-sectional study was conducted among Chinese college students. Participants completed the Body Appreciation Scale-2 (BAS-2) and other questionnaire measures of demographics, intentions to be vaccinated, and attitudes toward COVID-19 vaccination programs. RESULTS: A total of 2058 college students participated in this study. Students who were willing to get COVID-19 vaccines had significantly higher BAS-2 scores than did those who were unwilling to receive a vaccine (3.61 ± 0.84 vs. 3.34 ± 0.92, p < 0.001). A hierarchical multiple logistic regression analysis was performed to test the association between body appreciation and COVID-19 vaccine intentions when controlling for other covariates; elevated BAS-2 scores were associated with greater willingness to receive COVID-19 vaccines (OR = 1.250, 95%CI: 1.112-1.406, p < 0.001), independent of other significant influences. CONCLUSION: Our study was the first to reveal that body appreciation is a significant factor related to college students' COVID-19 vaccination intentions. Public health interventions designed to improve people's body-appreciation levels may help in efforts to promote universal immunization.

7.
Am J Addict ; 30(6): 585-592, 2021 11.
Article in English | MEDLINE | ID: covidwho-1416264

ABSTRACT

BACKGROUND AND OBJECTIVES: The prevalence of problematic Internet use (PIU) in the post-COVID-19 pandemic era is not known. This cross-sectional study aimed to determine the prevalence of PIU among baccalaureate nursing students (hereafter: nursing students) in the post-COVID-19 era. METHODS: A total of 1070 nursing students were consecutively invited to participate in this study from the nursing schools of five universities. PIU and quality of life (QOL) were assessed using the Internet Addiction Test (IAT) and the World Health Organization Quality of Life Scale Brief Version (WHOQOL-BREF), respectively. t Tests, χ2 , tests, and Kruskal-Wallis tests were used to compare basic demographic and clinical characteristics between participants with and without PIU. Binary logistic regression analysis was used to examine independent correlates. RESULTS: The prevalence of PIU was 23.3% (95% confidence interval [CI]: 20.7%-25.8%). Multiple logistic regression analysis revealed that second- (p = .024) and third-year (p = .012) students were more likely to suffer from PIU compared with first year students. Students with more severe depressive (p = .014) and anxiety symptoms (p = .011) were independently and significantly associated with more severe PIU. After controlling for covariates, nursing students with PIU had a lower overall QOL score (p = .002). CONCLUSION AND SCIENTIFIC SIGNIFICANCE: Problematic Internet use (PIU) was common among nursing students in the post-COVID-19 era. Considering the negative impact of PIU on QOL and academic performance, regular screening should be conducted and effective interventions implemented for nursing students with PIU. This was the first study on the prevalence of PIU among nursing students in the post-COVID-19 era. The findings of this study could help health professionals and education authorities to understand the patterns of PIU and its influence on QOL among nursing students and to allocate health resources and develop effective measures to reduce the risk of PIU in this population.


Subject(s)
Behavior, Addictive , COVID-19 , Education, Nursing, Baccalaureate , Students, Nursing , Behavior, Addictive/epidemiology , China/epidemiology , Cross-Sectional Studies , Humans , Internet , Internet Use , Pandemics , Prevalence , Quality of Life , SARS-CoV-2
8.
Front Med (Lausanne) ; 8: 691079, 2021.
Article in English | MEDLINE | ID: covidwho-1325538

ABSTRACT

Background: As COVID-19 vaccination programs are being implemented widely, it is important to examine the attitudes of adolescents toward the COVID-19 vaccine and its uptake. The aim of this study was to examine the acceptance of and attitudes toward COVID-19 vaccines, and their associated factors among adolescents in China. Methods: This was a cross-sectional, observational study conducted between November 27, 2020 and March 12, 2021 using snowball sampling method. Basic sociodemographic characteristics, health-related information, severity of depressive and anxiety symptoms, and attitudes and behavior toward COVID-19 vaccines were assessed. Results: Overall, 1,057 adolescents participated in this study, yielding a response rate of 89.3%. There were 799 (75.59%) [95% Confidence Interval (CI) 73.00-78.18%] adolescents who would accept future COVID-19 vaccination. Binary logistic regression analysis revealed that adolescents who previously heard about COVID-19 vaccines (P = 0.001, odds ratio (OR) = 1.90, 95%CI:1.32-2.74), who thought that COVID-19 vaccines could protect them from COVID-19 infection (P = 0.002, OR = 2.93, 95%CI: 1.49-5.70), and those who encouraged their family members and friends to get vaccinated (P < 0.001, OR = 12.19, 95%CI: 6.78-21.92) and who believed that vaccines are safe (P = 0.012, OR = 3.94, 95%CI: 1.36-11.44) were more likely to accept future COVID-19 vaccination. In addition, younger adolescents (P = 0.003, OR = 0.93, 95%CI: 0.89-0.98) were more likely to accept future COVID-19 vaccines than older adolescents. Conclusions: In conclusion, Chinese adolescents appeared to have positive attitudes toward COVID-19 vaccines. It is important to increase public confidence and knowledge regarding the efficacy and safety of COVID-19 vaccines to maximize the success of vaccination programs.

9.
J Affect Disord ; 294: 753-760, 2021 Nov 01.
Article in English | MEDLINE | ID: covidwho-1322168

ABSTRACT

BACKGROUND: The 2019 coronavirus disease (COVID-19) pandemic has impacted the mental health and well-being of medical personnel, including nursing students. Network analysis provides a deeper characterization of symptom-symptom interactions in mental disorders. The aim of this study was to elucidate characteristics of anxiety and depressive symptom networks of Chinese nursing students during the COVID-19 pandemic. METHOD: A total of 932 nursing students were included. Anxiety and depressive symptom were measured using the seven-item Generalized Anxiety Disorder Scale (GAD-7) and two-item Patient Health Questionnaire (PHQ-2), respectively. Central symptoms and bridge symptoms were identified via centrality indices and bridge centrality indices, respectively. Network stability was examined using the case-dropping procedure. RESULTS: Irritability, Uncontrollable worry, Trouble relaxing, and Depressed mood had the highest centrality values. Three bridge symptoms (Depressed mood, Nervousness, and Anhedonia) were also identified. Neither gender nor region of residence was associated with network global strength, distribution of edge weights or individual edge weights. LIMITATIONS: Data were collected in a cross-sectional study design, therefore, causal relations and dynamic changes between anxiety and depressive symptoms over time could not be inferred. Generalizability of findings may be limited to Chinese nursing students during a particular phase of the current pandemic. CONCLUSIONS: Irritability, Uncontrollable worry, Trouble relaxing, and Depressed mood constituted central symptoms maintaining the anxiety-depression network structure of Chinese nursing students during the pandemic. Timely, systemic multi-level interventions targeting central symptoms and bridge symptoms may be effective in alleviating co-occurring experiences of anxiety and depression in this population.


Subject(s)
COVID-19 , Students, Nursing , Anxiety/epidemiology , Cross-Sectional Studies , Depression/epidemiology , Humans , Pandemics , SARS-CoV-2
10.
Int J Biol Sci ; 17(6): 1469-1475, 2021.
Article in English | MEDLINE | ID: covidwho-1206428

ABSTRACT

Background: Vaccination is an important preventative measure against the coronavirus disease 19 (COVID-19) pandemic. To implement vaccination and immunization programs effectively, it is essential to investigate public attitudes toward COVID-19 vaccines. This study examined the attitudes of Chinese college students toward COVID-19 vaccines and their associated factors. Methods: A cross-sectional study was conducted in college students nationwide from December 27, 2020 to January 18, 2021. Attitudes toward COVID-19 vaccines and acceptance of future vaccination programs were assessed. Results: Totally, 2,881 college students participated in this survey; of them, 76.3% (95% CI: 74.8% - 77.9%) were willing to accept a COVID-19 vaccine in the future. Multiple logistic analysis revealed that students living in urban (OR=1.409, 95% CI: 1.152 - 1.724, p=0.001) and those studying health-related courses (OR=1.581, 95% CI: 1.291 - 1.935, p<0.001) were more likely to have a positive attitude toward COVID-19 vaccines. In addition, those who were worried about being infected with COVID-19 (very much vs no, OR=1.690, 95% CI: 1.212-2.356, p=0.002), heard previously about COVID-19 vaccines (OR=1.659, 95% CI: 1.268-2.170, p<0.001), believed that vaccines are safe (Yes vs No, OR=3.570, 95% CI: 1.825-6.980), thought that vaccines can protect people from being infected with COVID-19 (Yes vs No, OR=1.957, 95% CI: 1.286-2.979, p=0.002), and had encouraged their family and friends to have a vaccine (Yes vs No, OR=17.745, 95% CI: 12.271-25.660, p<0.001) had higher acceptance of COVID-19 vaccination. Conclusions: A high rate of acceptance of COVID-19 vaccines was found among Chinese college students. However, vaccine uptake may be reduced by concerns about vaccine safety and efficacy. Alleviating these concerns and enhancing public confidence in vaccines are crucial for future immunization programs against the COVID-19 pandemic.


Subject(s)
Attitude to Health , COVID-19 Vaccines/administration & dosage , COVID-19/prevention & control , SARS-CoV-2/immunology , Students/psychology , Universities , China , Cross-Sectional Studies , Female , Humans , Male , Young Adult
11.
PeerJ ; 9: e11154, 2021.
Article in English | MEDLINE | ID: covidwho-1184016

ABSTRACT

Background: Due to the COVID-19 outbreak, all teaching activities in nursing schools were suspended in China, and many nursing students were summoned to work in hospitals to compensate for the shortage of manpower. This study examined the prevalence of fatigue and its association with quality of life (QOL) among nursing students during the post-COVID-19 era in China. Methods: This was a multicenter, cross-sectional study. Nursing students in five Chinese universities were invited to participate. Fatigue, depressive and anxiety symptoms, pain and QOL were measured using standardized instruments. Results: A total of 1,070 nursing students participated. The prevalence of fatigue was 67.3% (95% CI [64.4-70.0]). Multiple logistic regression analysis revealed that male gender (P = 0.003, OR = 1.73, 95% CI [1.20-2.49]), and being a senior nursing student (second year: OR = 2.20, 95% CI [1.46-3.33], P < 0.001; third year: OR = 3.53, 95% CI [2.31-5.41], P < 0.001; and fourth year OR = 3.59, 95% CI [2.39-5.40], P < 0.001) were significantly associated with more severe fatigue. In addition, moderate economic loss during the COVID-19 pandemic (OR = 1.48, 95% CI [1.08-3.33], P < 0.015; compared to low loss), participants with more severe depressive (OR = 1.48, 95% CI [1.22-1.78], P < 0.001) and anxiety symptoms (OR = 1.12, 95% CI [1.05-1.20], P = 0.001), and more severe pain (OR = 1.67, 95%CI [1.46-1.91], P < 0.001) were significantly associated with reported more severe fatigue. After controlling for covariates, nursing students with fatigue had a lower overall QOL score compared to those without (F (1, 1070) = 31.4, P < 0.001). Conclusion: Fatigue was common among nursing students in the post-COVID-19 era. Considering the negative impact of fatigue on QOL and daily functioning, routine physical and mental health screening should be conducted for nursing students. Effective stress-reduction measures should be enforced to assist this subpopulation to combat fatigue and restore optimal health.

12.
J Evid Based Med ; 13(1): 3-7, 2020 Feb.
Article in English | MEDLINE | ID: covidwho-707

ABSTRACT

OBJECTIVES: To estimate the basic reproduction number of the Wuhan novel coronavirus (2019-nCoV). METHODS: Based on the susceptible-exposed-infected-removed (SEIR) compartment model and the assumption that the infectious cases with symptoms occurred before 26 January, 2020 are resulted from free propagation without intervention, we estimate the basic reproduction number of 2019-nCoV according to the reported confirmed cases and suspected cases, as well as the theoretical estimated number of infected cases by other research teams, together with some epidemiological determinants learned from the severe acute respiratory syndrome (SARS). RESULTS: The basic reproduction number fall between 2.8 and 3.3 by using the real-time reports on the number of 2019-nCoV-infected cases from People's Daily in China and fall between 3.2 and 3.9 on the basis of the predicted number of infected cases from international colleagues. CONCLUSIONS: The early transmission ability of 2019-nCoV is close to or slightly higher than SARS. It is a controllable disease with moderate to high transmissibility. Timely and effective control measures are needed to prevent the further transmissions.


Subject(s)
Basic Reproduction Number , Betacoronavirus , Coronavirus Infections , Pneumonia, Viral , COVID-19 , China/epidemiology , Coronavirus Infections/epidemiology , Coronavirus Infections/prevention & control , Coronavirus Infections/transmission , Forecasting , Humans , Models, Theoretical , Pneumonia, Viral/epidemiology , Pneumonia, Viral/prevention & control , Pneumonia, Viral/transmission , SARS-CoV-2
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