An understanding of the cultural conditions that determine the factors affecting nurses’ intention to leave is important for countries suffering from nurse shortage. Aim: to examine factors influencing intention to leave among female hospital nurses in a large Japanese sample, classified into four generations by age considering economic conditions. Methods: a cross-sectional survey with convenience sampling was conducted. Anonymous self-administered questionnaires were distributed to all nurses in 30 hospitals. To assess intention to leave, basic attributes, life conditions, work characteristics, and factors of psychosocial work environment were addressed. After classifying data into four generations based on age cohorts, we conducted multivariate logistic regression analysis using the completed data (N = 5,074, mean age = 36.24). Results: regardless of generational characteristics influenced by economic conditions, effort and monetary reward were generation-common factors. Over-commitment, social support, and the presence of a role model were generation-common factors in three generations. While having children increased intention to leave in the generation born 1965–1979, having family members in need of caregiving other than children decreased the risk in the generation born in the 1980s. Conclusion: generational countermeasures considering factors of psychosocial work environment and life conditions are needed to avert female nurse turnover.

This study aimed to develop a Laotian adolescent version of the Center for Epidemiologic Studies Depression Scale (CES-D), determine its reliability and validity, and examine its factorial properties. The study targeted at 7,554 students in lower secondary schools and teacher training colleges in Lao PDR. Self-administered questionnaires were collected from 2012 to 2014. Exploratory factor analysis performed in three age groups using the weighted least square mean and variance adjusted estimation with robust maximum likelihood methods. The factor structure for each age group was the same; therefore, data from the full sample were analyzed further. The model was then tested by confirmatory factor analysis. A 2-factor model was determined as a common model among the age groups by using paralleled analysis. We determined a best-fitting structure comprising two factors: “Negative affect” and “Positive affect.” The Cronbach’s alpha was .81. “Effort” items loaded on the “Somatic and retarded activity” factor in the original model but loaded on the “Positive affect” factor in the adolescent model. “Depressed affect,” “Somatic and retarded activity,” and “Interpersonal” items were combined into the “Negative affect” factor in the adolescent model.