Construction of frailty and risk prediction models in maintenance hemodialysis patients: a cross-sectional study.

Objective: As the prevalence of diabetic nephropathy and hypertensive nephropathy increases with age in mainland China, the number of patients with end-stage renal disease is increasing, leading to an increase in the number of patients receiving maintenance hemodialysis. Considering the harmful effects of frailty on the health of maintenance hemodialysis patients, this study aims to identify hemodialysis patients at risk for frailty at an early stage, in order to prevent or delay the progression of frailty in the early stage, so as to prevent the adverse consequences of frailty. Methods: A total of 479 patients admitted to the blood purification centers of two grade tertiary hospitals in Anhui Province, China, using convenient sampling. The Frailty Scale, the SARC-F questionnaire, the Simplified Food Appetite Questionnaire (SNAQ) and the mini nutritional assessment short-form (MNA-SF) were used in the study. Pearson correlation analysis was used to explore the correlation among the frailty influencing factors. Results: The incidence of frailty was 24.0% among 479 Chinese hemodialysis patients. Gender (p < 0.05), Malnutrition (p < 0.001), sarcopenia (p < 0.001), and feel tired after dialysis (p < 0.001) were highly correlated with frailty in Chinese hemodialysis patients. Serum albumin concentration (p < 0.05) was a protective factor of frailty. Conclusion: This survey shows that frailty was highly prevalent among Chinese hemodialysis patients. Medical staff and their families should make early judgments and carry out interventions on the risk of frailty.

Prevalence of smartphone addiction and its relation with psychological distress and internet gaming disorder among medical college students.

Background: The incidence of smartphone addiction has been widely studied, but the research on the relationship between smartphone addiction and psychological distress and internet gaming disorder is limited. This study investigated the characteristics and prevalence of smartphone addiction and its relation with psychological distress and internet gaming disorder. Furthermore, it provides the scientific basis for intervention measures in schools, families, and society. Methods: A random cluster sampling method was applied to investigate 656 medical students from grades 1 to 4 at Wannan Medical College in Anhui province, People's Republic of China. The questionnaire consisted of general information, a smartphone addiction scale, an Internet gaming disorder scale, and a Kessler 6-item psychological distress test. The obtained results were first summarized using descriptive statistics. The Chi-square test was used to compare the status of smartphone addiction. Binary logistic regression was used to analyze the relationship between smartphone addiction and various variables. Results: Our results showed that the prevalence of smartphone addiction in medical students was 49.5% (325/656). Psychological distress (p < 0.001), internet gaming disorder (p < 0.001), and childhood trauma (p = 0.001) were highly correlated with smartphone addiction in medical students. Psychological distress, and internet gaming disorder were positively associated with smartphone addiction (p < 0.000). Conclusion: The prevalence of smartphone addiction is high among medical students in Chinese. Smartphone addiction is highly related to related to internet gaming disorder and psychological distress.

Prevalence and associated factors of insomnia symptoms after ending China's dynamic zero-COVID policy: a cross-sectional survey of frontline nursing staff in Chinese hospitals.

Background: After the Chinese government announced the end of the dynamic zero-COVID policy on January 8, 2023, the COVID-19 pandemic peaked. Frontline nursing staff are at high risk of infection transmission due to their frequent contact with COVID-19 patients. In addition, due to the ending of China's dynamic zero-COVID policy, frontline nursing staff have grappled with increased workload, fatigue, and more. This study aimed to explore the prevalence of insomnia symptoms in frontline nursing staff and its influencing factors following the end of the policy. Methods: Between January and February 2023, this study was conducted by the Wenjuanxing platform to survey frontline nursing staff in a hospital in Wuhu City, Anhui Province. All the nursing staff included in this study had a COVID-19 infection. The questionnaires included the Athens Insomnia Scale (AIS), PC-PTSD-5 Chinese Version Scale, the Fear of COVID-19 Scale, The 2-item Connor-Davidson Resilience Scale (CD-RISC-2) Scale, and the burden of COVID-19 Scale. Binary logistic regression methods were used to identify variables associated with insomnia symptoms. Results: Among the 694 frontline nursing staff, 74.5% (517/694) exhibited insomnia symptoms. Fear of COVID-19 (p < 0.001), the burden of COVID-19 (p < 0.05), PTSD (p < 0.001), and higher technical titles (p < 0.008) were highly correlated with insomnia symptoms in frontline nursing staff. Psychological resilience (p < 0.001) was a protective factor for insomnia symptoms among frontline nursing staff. Conclusion: After ending China's dynamic zero-COVID policy, the prevalence of insomnia symptoms among frontline nursing staff is generally higher. This study highlights the association between insomnia symptoms and PTSD, fear of COVID-19, COVID-19 burden, and resilience. Psychological assistance is needed for frontline nursing staff to prevent insomnia symptoms and protect the mental health of frontline nursing staff after the end of China's dynamic zero-COVID policy.

Exploring the Impact of the COVID-19 Pandemic on Academic Burnout Among Nursing College Students in China: A Web-Based Survey.

BACKGROUND The COVID-19 pandemic has brought changes and challenges to nursing students. However, little is known about the prevalence of academic burnout among nursing students in this challenging circumstance. This study aimed to assess nursing student academic burnout and its influencing factors. MATERIAL AND METHODS We conducted a sample survey of a 4-year undergraduate nursing university in Wuhu, Anhui Province, China. The social-demographic information questionnaire, Academic Burnout Scale, Connor-Davidson Resilience Scale, Impact of Event Scale-6, Patient Health Questionnaire-2, and Professional Identity Scale were used. Stepwise multiple linear regression was used to clarify the relationship among sociodemographic characteristics, resilience, and academic burnout. RESULTS Of all the study participants, 51.30% had a certain degree of academic burnout. Academic year, satisfaction with specialty, satisfaction with online learning, professional identity, and psychological resilience were negatively correlated with academic burnout among nursing students. Depression was positively correlated with academic burnout. CONCLUSIONS Nursing students had a high degree of academic burnout. Academic year, satisfaction with specialty, satisfaction with online learning, professional identity, and psychological resilience were protective factors that reduced nursing students' academic burnout.

Prevalence and factors associated with insomnia among medical students in China during the COVID-19 pandemic: characterization and associated factors.

BACKGROUND: Insomnia has become an important issue in recent years. Insomnia is affected by many factors. Previous research has shown that during the COVID-19 pandemic, there would be a long-term negative effect on the mental health of medical college students. The state of medical college students' insomnia directly determines the results of medical education and the career development prospects of the medical students themselves. Therefore, it is very important to understand the insomnia situation of medical students in the post-epidemic era. METHODS: This study was conducted 2 years after the global COVID-19 pandemic (April 1-April 23, 2022). The study used an online questionnaire, administered through a web-based survey platform. The Athens Insomnia Scale (AIS), Fear of COVID-19 Scale (FCV-19S), GAD-2, PHQ-2, and socio-demographic information were surveyed by the Questionnaire Star platform. RESULTS: The prevalence of insomnia was 27.80% (636/2289). Grade(P < 0.05), age(P < 0.001), loneliness(P < 0.001), depression(P < 0.001), anxiety(P < 0.001), fear of COVID-19 was highly correlated with insomnia (P < 0.001). Adapting to online class(P < 0.001) was a protective factor of smartphone addiction. CONCLUSIONS: This survey shows that Insomnia was highly prevalent among the Chinese medical college students during the COVID-19 pandemic. Governments and schools should through psychological interventions to address the current situation of insomnia among medical students, and formulate targeted programs and strategies to reduce their psychological problems.