BackgroundUnder the context of the COVID-19 pandemic, a large amount of COVID-19-related information can cause an individual's perceived information overload, further halting the individual's psychological health. As a minor psychological discomfort could develop severe mental disorders such as posttraumatic stress disorder, it is necessary to understand the chain linkage of COVID-19 information overload turn to posttraumatic stress disorder to ensure timely intervention can be offered at each point of mental state transformation. Hence, we examined the negative outcomes of COVID-19 information overload and investigated the direct and indirect effects of COVID-19 on posttraumatic stress disorder.MethodsA convenient sample of Chinese adults (n = 1150) was investigated by an online survey from July 2020 to March 2021. The extent of COVID-19 information overload was measured by the information overload severity scale on the text of the COVID-19 pandemic. Psychological distress symptoms were measured using a 7-item anxiety scale (GAD-7), the 9-item Patient Health Questionnaire depression module (PHQ-9), and the psychometric properties of the PTSD Checklist (PCL-C). Structural equation modeling and bootstrap methods were utilized to analyze the relationships between variables.ResultsCOVID-19 information overload is positively related to an individual's anxiety, depression, and posttraumatic stress disorder. Furthermore, COVID-19 information overload can indirectly affect an individual's PTSD symptoms by increasing the feeling of depression. R2 values of anxiety, depression, and PTSD were 0.471, 0.324, and 0.795, respectively.ConclusionCOVID-19 information overload, anxiety, depression, and PTSD are negative psychological states, and each variable is closely linked with the others, suggesting the need for potential psychological interventions at specific times. Practical public training, such as crisis coping and information filtering, is essential. Regulation of technology companies is also essential.
Background Medical and nursing students’ attitudes toward mental disorders have a large impact on their working intentions in mental health settings and patients’ health outcomes. However, there are few studies about the stigma toward mental disorders among medical and nursing students in China. Methods In this cross-sectional study, a total of 838 medical and nursing students completed questionnaires on their sociodemographic characteristics and familiarity with people diagnosed with mental disorders as well as the Community Attitudes toward Mental Illness Scale (CAMI). The stigma was compared between medical students and nursing students by ANOVA. A multiple logistic regression model was built to explore the relationships among sociodemographic characteristics, familiarity with mental disorders and stigma. Results The total mean score of the CAMI was 137.61 (SD = 15.63). The score for authoritarianism (M = 33.33, SD = 3.62) was the lowest score of the four subscales. Medical students showed more positive attitudes toward mental disorders than nursing students. However, after controlling the co-variables, the difference disappeared. Stigma was significantly associated with students’ education, area of residence, marital status, economic status, history of mental disorders and familiarity with mental disorders. Conclusions Medical and nursing students show a negative attitude toward mental illness to a certain degree, especially regarding the view that people with mental disorders are inferior. Higher education level, residence in urban areas, single marital status, better economic status, and better familiarity with mental disorders may be related to less stigma among medical and nursing students.
IntroductionHospital-at-home (HaH) services have become increasingly popular. However, the experience of HaH implementation in Asia is inadequate. Therefore, the purpose of this study was to investigate individuals' willingness to accept HaH services and the potential related factors.MethodsThe researchers visited households to select appropriate participants. An online questionnaire survey was conducted among the inhabitants of selected communities. An individual's awareness, willingness to accept HaH services, and demands such as ideal service providers and more detailed information to accept HaH care were investigated. The outcome measure was the willingness to accept HaH services. Chi-square tests and logistic regression models were used to analyze the factors.ResultsA total of 622 subjects participated in this study. The findings indicate that 55.9% of the participants were not aware of HaH services, while most of the subjects (88.4%) were willing to accept them. Regression models indicated that having health insurance (OR = 2.170, 95% CI: 1.003–4.697), an awareness of the necessity of HaH services (OR = 4.721, 95% CI: 2.471–9.019), very much hoping staff from central hospitals would be service providers (OR = 20.299, 95% CI: 5.718–72.068), and somewhat hoping that staff from central hospitals would be service providers (OR = 9.139, 95% CI: 2.714–30.775) were the factors associated with a greater willingness to accept HaH services.ConclusionThe study indicates that compared to the awareness of HaH care, residents had a greater willingness to accept such care. The willingness to utilize HaH services among individuals was associated with enabling factors, predisposing factors, and HaH-related demand factors.
Background Medical students’ attitudes toward mental disorders have a large impact on patients’ health outcomes. However, there are few studies about stigma toward mental disorders in medical students in China. Methods In this cross-sectional study, 838 medical students completed questionnaires on their sociodemographic characteristics and familiarity with people diagnosed with mental disorders as well as the Community Attitudes toward Mental Illness Scale (CAMI). A multiple logistic regression model was built to explore the relationships among sociodemographic characteristics, familiarity with mental disorders and stigma. Results The total mean score of the CAMI was 137.61 (SD = 15.63). The score for authoritarianism (M = 33.33, SD = 3.62) was the lowest score of the four subscales. Stigma was significantly associated with students’ education, area of residence, marital status, economic status, history of mental disorders and contact with people diagnosed with mental disorders. Conclusions Medical students show a negative attitude toward mental illness to a certain degree, especially regarding the view that people with mental disorders are inferior. Higher education level, residence in urban areas, single marital status, better economic status, and better familiarity with mental disorders may be related to less stigma in medical students.
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