Testing Two Student Nurse Stress Instruments in Chinese Nursing Students: A Comparative Study Using Exploratory Factor Analysis.

Background: The development and transformation of nursing within professional tertiary education have exerted a great pressure and challenge upon nursing students. Stress experienced by nursing students is a common precursor of psychological distress and attrition. However, no scale is specifically used to evaluate the sources of stress experienced by nursing students in Mainland China.

Type C Personality and Depression Among Newly Diagnosed Breast Cancer Patients: The Mediating Role of Sense of Coherence.

Purpose: This study aims to explore the mediating role of sense of coherence in the relationship of type C personality and depression among newly diagnosed breast cancer patients.

Methods: A descriptive and correlational survey was conducted in 600 breast cancer patients aged ≥18 years from September 2018 to March 2019 in Zhengzhou, China. The demographic questionnaire, Cancer Behavior Scale, Sense of Coherence Scale and Hamilton Depression Scale were included in this study.

Cross-cultural validation of the Student Nurse Stress Index Scale: A descriptive survey targeting student nurses in China.

Background: Currently, relatively little is known regarding the sources and levels of stress experienced by nursing students in China. This is largely because there is no reliable and valid, culturally appropriate measure of student nurse' stress. A culturally acceptable, Chinese Version of the Student Nurse Stress Index Scale (SNSI-CHI), with established reliability and validity, is needed to identify sources of stress in Chinese nursing students.

Perceived stress and depression amongst older stroke patients: Sense of coherence as a mediator?

Objective: This study aimed to explore the relationship between perceived stress, sense of coherence, and depression among older stroke patients.

Methods: A demographic questionnaire, the Perceived Stress Scale (PSS), the Sense of Coherence Scale (SOC) and the Center for Epidemiologic Studies Depression Scale (CES-D) were distributed to 3000 older stroke patients from Neurology wards in six large general hospitals, and 2907 individuals completed the survey. Data analysis consisted of correlation, multiple linear regression, and structural equation modeling.