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1.
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.

2.
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
3.
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.

4.
Natl Sci Rev ; 7(12): 1868-1878, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-1087785

ABSTRACT

Systematic autopsy and comprehensive pathological analyses of COVID-19 decedents should provide insights into the disease characteristics and facilitate the development of novel therapeutics. In this study, we report the autopsy findings from the lungs and lymphatic organs of 12 COVID-19 decedents-findings that evaluated histopathological changes, immune cell signature and inflammatory factor expression in the lungs, spleen and lymph nodes. Here we show that the major pulmonary alterations included diffuse alveolar damage, interstitial fibrosis and exudative inflammation featured with extensive serous and fibrin exudates, macrophage infiltration and abundant production of inflammatory factors (IL-6, IP-10, TNFα and IL-1ß). The spleen and hilar lymph nodes contained lesions with tissue structure disruption and immune cell dysregulation, including lymphopenia and macrophage accumulation. These findings provide pathological evidence that links injuries of the lungs and lymphatic organs with the fatal systematic respiratory and immune malfunction in critically ill COVID-19 patients.

7.
Chinese Journal of Nosocomiology ; 30(12):1787-1792, 2020.
Article in Chinese | CAB Abstracts | ID: covidwho-833253

ABSTRACT

OBJECTIVE: This study investigated the use of goggles by medical staff in the forefront of combating new coronavirus pneumonia epidemic, in order to explore safer and more effective use of goggles to provide protection for medical staff to protect themselves. METHODS: From Mar. 27, 2020 to Mar. 29, 2020, the Department of Infection Control of Wuhan Huoshenshan Hospital conducted an online questionnaire survey on 310 front-line medical staff who had been working in the hospital for 55 days by using the questionnaire Star software. RESULTS: There were many kinds of goggles in the hospital. The time for medical staff to wear goggles continuously was mainly 5-6 hours (48.71%) and 3-4 hours. Most medical staff believed that goggles without holes on edge were safer (61.94%), and wearing goggles with side holes would increase the risk of eye infection (81.94%). Most medical staff used goggles correctly, they adjusted the tightness of the strap immediately after wearing goggles(71.94%), adjusted the headband to an appropriate tightness (90.97%), and performed anti-fog treatment on the lenses before wearing goggles (99.35%), checked for damage before using goggles (94.19%). Physical discomfort during work was mainly due to fogging of the goggles to block the sight (90.32%), followed by headache (60.97%). The effective duration of fogging of protective eyepieces was mostly 2-4 hours (39.68%) and 4-6 hours (32.26%). Most medical staff believed that wearing lighter (98.71%), softer (94.52%), larger lenses and wider frame (96.45%) goggles was more comfortable. The application of transparent hand sanitizer was the highest recommended anti-fog method for goggles (46.13%), followed by the anti-fog agent method(23.55%). The best anti-fog effect could reach more than 6 hours (4.52%). CONCLUSION: Goggles were the key barrier for protection of new coronary pneumonia infection. Hospitals should attach great importance to the use of safe and comfortable goggles under conditions and anti-fog treatment to improve their own safety and improve work quality and efficiency.

9.
Cancer ; 126(17): 4023-4031, 2020 09 01.
Article in English | MEDLINE | ID: covidwho-612086

ABSTRACT

BACKGROUND: Patients with cancer have a higher risk of coronavirus disease 2019 (COVID-19) than noncancer patients. The authors conducted a multicenter retrospective study to investigate the clinical manifestations and outcomes of patients with cancer who are diagnosed with COVID-19. METHODS: The authors reviewed the medical records of hospitalized patients who were treated at 5 hospitals in Wuhan City, China, between January 5 and March 18, 2020. Clinical parameters relating to cancer history (type and treatment) and COVID-19 were collected. The primary outcome was overall survival (OS). Secondary analyses were the association between clinical factors and severe COVID-19 and OS. RESULTS: A total of 107 patients with cancer were diagnosed with COVID-19, with a median age of 66 years (range, 37-98 years). Lung (21 patients; 19.6%), gastrointestinal (20 patients; 18.7%), and genitourinary (20 patients; 18.7%) cancers were the most common cancer diagnoses. A total of 37 patients (34.6%) were receiving active anticancer treatment when diagnosed with COVID-19, whereas 70 patients (65.4%) were on follow-up. Overall, 52.3% of patients (56 patients) developed severe COVID-19; this rate was found to be higher among patients receiving anticancer treatment than those on follow-up (64.9% vs 45.7%), which corresponded to an inferior OS in the former subgroup of patients (hazard ratio, 3.365; 95% CI, 1.455-7.782 [P = .005]). The detrimental effect of anticancer treatment on OS was found to be independent of exposure to systemic therapy (case fatality rate of 33.3% [systemic therapy] vs 43.8% [nonsystemic therapy]). CONCLUSIONS: The results of the current study demonstrated that >50.0% of infected patients with cancer are susceptible to severe COVID-19. This risk is aggravated by simultaneous anticancer treatment and portends for a worse survival, despite treatment for COVID-19.


Subject(s)
Betacoronavirus/genetics , Coronavirus Infections/epidemiology , Coronavirus Infections/mortality , Neoplasms/epidemiology , Neoplasms/mortality , Pneumonia, Viral/epidemiology , Pneumonia, Viral/mortality , Adult , Aged , Aged, 80 and over , Antineoplastic Agents/therapeutic use , Antiviral Agents/therapeutic use , COVID-19 , China/epidemiology , Coronavirus Infections/drug therapy , Coronavirus Infections/virology , Female , Humans , Immunoglobulins, Intravenous/therapeutic use , Incidence , Male , Middle Aged , Neoplasms/drug therapy , Pandemics , Pneumonia, Viral/drug therapy , Pneumonia, Viral/virology , Retrospective Studies , Risk , SARS-CoV-2 , Severity of Illness Index , Steroids/therapeutic use , Survival Rate , Treatment Outcome
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