This study aimed to explore the level of stress, types of stressors, type of coping styles, and factors influencing stress levels and coping styles among nursing students during the initial period of the clinical practicum. A cross-sectional survey design was used. In September 2017, participants were recruited from a tertiary hospital in Zhejiang Province, China, using a convenience sampling method. A demographic characteristics questionnaire, the Intern Nursing Student Stressor Scale, and the Simple Coping Style Questionnaire were used to collect data. Data were analyzed using descriptive analysis, independent sample t-tests, one-way analysis of variance, Pearson’s correlation analysis, and multiple linear regression analysis. A total of 158 nursing students were recruited, most of whom were female, undergraduates, and from rural areas. The nursing students perceived a moderate level of stress during the initial period of the clinical practicum. The need for knowledge and skills was the most common source of stress. Positive coping styles were most commonly adopted. Nursing students who were undergraduates, only children, and chose nursing major involuntarily experienced higher stress levels than those who were junior college students, not only children, and chose nursing major voluntarily. Nursing undergraduates were more likely to use positive coping styles than junior college students. Male nursing students and those experiencing higher stress levels related to the “environment and equipment of the wards” and the “nature and content of the work” were more likely to use negative coping styles. Nursing educators should offer targeted guidance based on the stress reported during the clinical practicum and the demographic characteristics of the nursing students. Guidance should be provided to encourage nursing students to adopt effective coping strategies and reduce stress.

First-year college students had exposure to unhealthy lifestyle behaviors that correlate with a high prevalence of anxiety and depression. Regarding to the modifiable lifestyle behaviors factors, this study investigated the prevalence and correlation of multiple lifestyle behaviors, anxiety and depression in a sample of Chinese first-year college students. Cross-sectional data were extracted from Residents eHealth app of health lifestyle behaviors survey from September to October 2019. Anxiety, depression, eating regular meals, consumption of snacks in-between meals, consumption of fruit, dessert and sugar-sweetened beverages, smoking and secondhand smoke exposure, consuming alcohol, physical activity, sedentary time were assessed by self-report. Socio-demographic including age, gender, education, family income, religion, and health condition were captured. Logistic regression was used to explore the association of multiple lifestyle behaviors, anxiety and depression. Totally 1,017 participants were included in the study. The prevalence of anxiety and depression (from mild to severe) were 40.3% and 45.3%, respectively. In multivariable analyses, religion (believe in Buddhism, OR = 2.438, 95%CI: 1.097–5.421; believe in Christian, OR = 5.886, 95%CI: 1.604–21.597), gender (Female, OR = 1.405, 95%CI: 1.001–1.971), secondhand smoke exposure (OR = 1.089, 95%CI: 1.001–1.184), and eating regular meals (OR = 0.513, 95%CI: 0.346–0.759) were associated with anxiety. Family income (OR = 0.732, 95%CI: 0.596–0.898), eating regular meals (OR = 0.641, 95%CI: 0.415–0.990), frequency of breakfast (OR = 0.813, 95%CI: 0.690–0.959), with a chronic disease (OR = 1.902, 95%CI: 1.335–2.712), and consumption of nocturnal snack (OR = 1.337, 95%CI: 1.108–1.612) were associated with depression. These results highlighted the need for early lifestyle behavior intervention, especially modifying diet patterns considering the background of religion, health condition, and social-economic status in first-year college students to improve their mental health.

Purpose: Various physiological and psychological negative situations experienced by nurses as a result of COVID-19 pandemic have been shown to increase their perception of organizational difficulty and decrease their career commitment, thereby accelerating the turnover rate of nurses. Resilience and career adaptability have important influences on career commitment, so there is a need to evaluate the relationships between them and the underlying mechanisms.Patients and methods: Using a cross-lagged design, the Career Adaptability Scale, the Chinese version of career commitment, and Davidson’s Resilience Scale as research methods, we studied 692 nursing students for two consecutive years to evaluate the relationship among career adaptability, resilience, and career commitment.Results: Career adaptability at T1 substantially and positively predicts the career commitment at T2. Career adaptability and resilience are mutually predictive. No interaction is found between resilience and career commitment over time. There is a substantial difference in the cross-lagged relationship among career adaptability, resilience, and career commitment for low- and high-career interest.Conclusion: Our results show the importance of developing career commitment early on. Developing career adaptability, enhancing resilience, and increasing career interest in nursing students might help to increase career commitment.

Background: Little is known about how health behaviors cluster to form meaningful patterns that influence health outcomes in young adult nursing students. Purpose: The purpose of this study was to identify the unique health behavior patterns among young adult nursing students in China and examine the associations between health behaviors and chronic diseases. Methods: Using an electronic app, the achievements of an exercise target, sedentary behavior, smoking and drinking, and dietary patterns were assessed in 1,480 nursing student participants aged 18–24 years from two medical universities in Eastern China. Results: A four-class model was developed using latent class analysis that included the “failure to achieve exercise target, alcohol-drinking, and insufficient fruit and vegetable group” (Group 1, n = 187, 12.6%), the “alcohol-drinking and sedentary behavior group” (Group 2, n = 290, 19.6%), the “sedentary behavior only group” (Group 3, n = 721, 48.7%), and the “failure to achieve exercise target only group” (Group 4, n = 282, 19.1%). Logistic regressions indicated that nursing students in Group 2 (odds ratio [OR] = 0.42), Group 3 (OR = 0.51), and Group 4 (OR = 0.30) were less likely to have chronic diseases than those in Group 1 after adjusting for sociodemographic variables. Conclusions: The health behaviors were clustered in different patterns among young adult nursing students. Tailoring interventions to specific groups is suggested to improve health outcomes.