Factors influencing depression in primary caregivers of patients with dementia in China: A cross-sectional study.

This study aims to estimate the prevalence and factors of depression in primary caregivers of people with dementia in China, based on a biopsychosocial medical model. A sample of 285 caregiver-patient dyads was recruited from a tertiary psychiatric hospital in Nanjing, between December 2018 and November 2019. The prevalence of depression among primary caregivers of people with dementia was 42.8%. Binary logistic regression analyses revealed that caregivers' gender (OR=4.692), social support (OR=0.131), health condition (OR=12.994), extraversion (OR=0.102) and neuroticism (OR=2.978) were predictive of depression in those caregivers. Of the above, health condition was the major factor associated with caregiver's depression. The Box-Tidwell method was used to show a linear relationship between continuous independent variables and dependent variable logit conversion values (p = 0.0045). Suggestions are provided to develop support service programs and interventions tailored to caregivers, to help meet their basic substance and mental health needs. (147 words).

Anxiety, depression and cognitive emotion regulation strategies in Chinese nurses during the COVID-19 outbreak.

AIMS: To explore the association between cognitive emotion regulation strategies and anxiety and depression among nurses during the COVID-19 outbreak. BACKGROUND: Nurses play a vital role in responding to the COVID-19 outbreak, but many of them suffer from psychological problems due to the excessive workload and stress. Understanding the correlation between cognitive emotion regulation strategies and anxiety and depression will promote targeted psychosocial interventions for these affected nurses. METHODS: This cross-sectional study of 586 nurses was conducted in Eastern China. Participants completed online questionnaires that investigated anxiety, depression and cognitive emotion regulation strategies. RESULTS: The prevalence of nurses' anxiety and depression was 27.6% and 32.8%, respectively. Lower self-blame, rumination and catastrophizing, as well as greater acceptance and positive refocusing, were related to fewer symptoms of anxiety or depression. CONCLUSION: The cognitive emotion regulation strategies of acceptance and positive refocusing contribute to reducing anxiety or depression. These strategies should be considered when implementing psychotherapeutic interventions to improve nurses' adverse emotional symptoms. IMPLICATIONS FOR NURSING MANAGEMENT: This study highlights the need to assess cognitive emotion regulation strategies use in screening for anxiety and depression. Nurse managers should develop psychosocial interventions including appropriate strategies to help nurses with adverse emotions during a pandemic.

Related factors influencing Chinese psychiatric nurses' turnover: A cross-sectional study.

WHAT IS KNOWN ON THE SUBJECT: Because of increasingly stressful, dangerous and unpredictable psychiatric nursing work, psychiatric nurses have experienced higher job stress than general ward nurses. Little is known about the factors that affect the turnover intention of Chinese psychiatric nurses. Understanding the influencing factors of nurses' turnover intention will help to formulate targeted measures to stabilize psychiatric nursing teams. WHAT DOES THIS PAPER ADD TO EXISTING KNOWLEDGE: The results showed that 70.2% of psychiatric nurses had higher turnover intention. The strong turnover intention of Chinese psychiatric nurses is a problem that needs to be considered by managers. The results showed that having more children, between 31 and 39 years old, and having a part-time job were strongly associated with turnover intention. In addition, "job stress" was also an important factor, psychiatric nurses' turnover intention decreased as their job stress level decreased. WHAT ARE THE IMPLICATIONS FOR PRACTICE: Nursing managers should pay attention to nurses who have more children, between 31 and 39 years old, and take on part-time jobs. Additionally, nursing managers should reduce job stress and implement targeted programmes to prevent psychiatric nurses' turnover. Experience-sharing meetings and mindfulness-based stress reduction training are also useful to improve the mental health status of psychiatric nurses with great job stress. Nursing managers should arrange human resources and shifts appropriately to give nurses with more children more time with their families. Provide more development opportunities for psychiatric nurses between 31 and 39 years old. Managers explore the reasons why nurses take on part-time jobs and take targeted interventions (such as increasing income) to reduce the behaviour that happens. ABSTRACT: Introduction Nurses' turnover is the main cause of nursing shortages, greatly affected by nurses' intention to leave. Nurses' turnover rate is particularly high in psychiatric wards. Several factors influencing the turnover intention of psychiatric nurses have not been well identified in China, and the association between job stress and turnover intention is still limited. Aims To examine the relationship between job stress and turnover intention and identify the influencing factors of psychiatric nurses' turnover intention. Methods Data were collected from 2355 psychiatric Chinese nurses using a cross-sectional design with an online questionnaire investigation. Results Psychiatric nurses had higher turnover intention. Significant factors influencing their turnover intention were job stress, having more children, age between 31 and 39 years old, part-time jobs, education, income and patient-to-nurse ratio. Discussion Demographics and job-related factors should be considered when developing strategies to reduce the turnover intention of psychiatric nurses. Implications for practice Nursing managers should pay attention to nurses with higher job stress levels and different demographic characteristics. Effective measures should be taken to reduce psychiatric nurses' job stress and turnover intention, such as arranging reasonable shifts, implementing targeted family-friendly policies, increasing their occupational possibilities and promoting mental health.

Prevalence and Risk Factors for Malnutrition in Patients With Parkinson's Disease.

Objectives: This study aimed to investigate the relationship between nutritional status and Parkinson's disease (PD) features. Methods: The cohort was composed of 556 Parkinson's patients who were admitted to the hospital. Patients were categorized as normal nutrition or at risk of malnutrition/already malnourished. Questionnaires, physical examinations, and biochemical tests were conducted. The relationship between nutrition status and PD was analyzed using t-tests, χ2-tests, and logistic regression models. Results: The prevalence of malnutrition [defined as a Mini Nutritional Assessment (MNA) score <17] was 39.2%, and 30.3% of patients were at risk of malnutrition (17 ≤ MNA score ≤ 23.5). There was no difference in gender and age between the different nutrition groups (P < 0.05). Patients at risk of malnutrition and those who were malnourished had a longer course of disease, more severe motor symptoms, a higher stage of PD according to the Hoehn and Yahr (H-Y) classification, a lower body mass index (BMI) index, a lower cognitive score, higher levels of depression and anxiety, and more serious non-motor symptoms (P < 0.05) than patients with normal nutrition. There were differences in adenosine deaminase, albumin, phosphorus, chlorine, total protein, and uric acid between the two groups (P < 0.05). High Unified PD Rating Scale (UPDRS-III) scores, high H-Y stages, and dyskinesia were risk factors for malnutrition in PD patients, while high levels of total protein, uric acid, and chlorine were protective factors that led to good nutrition (P < 0.05). Conclusions: Our results showed that dyskinesia, disease severity, total protein levels, uric acid levels, and chlorine levels were associated with nutritional status among Chinese PD patients. The findings of this study indicate the significance of the early detection and prevention of malnutrition to improve the quality of life of PD patients.