These significant findings linking the HPLP-II, university year level, and living with family (yes/no) in university students will enable healthcare providers to develop interventions to assist students in improving their health lifestyles in the university environment and will help in devising suitable education programs.

When predicting volunteer intention, much attention is paid to the volunteer organization environment (VOE). Given that self-efficacy and motivation have emerged as important predictors of volunteer intention, we adopted a combination of ideas of Bandura's social cognitive theory and Ajzen's theory of planned behavior integrating VOE, self-efficacy and motivation to examine their effects on volunteer intention and to determine whether self-efficacy and motivation mediate the relationship between VOE and volunteer intention. The subjects of this study consisted of 198 community health volunteers in Shanghai city, China. Exploratory factor analysis was performed to identify the factor structure using standard principal component analysis. Six new factors were revealed, including two VOE factors, relation with organization and support from government; two motivation factors, personal attitude and social recognition; self-efficacy and volunteer intention. The results of a hierarchical regression analysis indicated that relation with organization accounted for 14.8% of the variance in volunteer intention, and support from government failed to add significantly to variance in volunteer intention; self-efficacy and personal attitude motivation partially mediated the effects of relation with organization on volunteer intention; social recognition motivation did not mediate the relationship between relation with organization and volunteer intention; and relation with organization, self-efficacy and personal attitude motivation accounted for 33.7% of the variance in volunteer intention. These results provide support for self-efficacy and personal attitude motivation as mediators and provide preliminary insight into the potential mechanisms for predicting volunteer intention and improving volunteering by integrating VOE, self-efficacy and motivation factors.

Objectives The aim of this study was to clarify the actual state of retired workers' lifestyles and quality of life (QOL) in a medium-sized city of Northeastern China and to assess the relationship between these according to differences between gender groups. Methods The Chinese version of the Health Promotion Lifestyle Profile II (HPLP-II), the World Health Organization Quality of Life-BREF (WHOQOL-BREF), and demographic variables were used to measure 343 (aged 50-79 years) retired workers' lifestyles and QOL. The results were analyzed using the t test, one-way analysis of variance, correlation analysis, and multiple linear regression analysis. Results Among the six lifestyle subscales of HPLP-II, the highest mean score was for Interpersonal Relations (IR) and the lowest was for Health Responsibility (HR), which has not been reported previously. The youngest group (50-60 years) had higher scores for lifestyles and QOL than the other age groups. When the results were analyzed based on financial situation, the lowest income group (below ¥2000) had the poorest scores. Analysis according to gender group revealed different tendencies for the scores of lifestyle and QOL, as well as in the multiple regression analysis between variables. Conclusion Our results suggest that an effective approach to maintain a desirable lifestyle and QOL for retired workers at the regional level would be to introduce daily activities to improve HR and to maintain and enhance social support for the low-income populations. Further research is needed to understand the complex causal pathways between regional health and welfare factors, health behavior, and QOL.

Objectives To clarify the difference in health-promoting lifestyles between agricultural and non-agricultural workers in Japan, a cross-sectional study was conducted on 627 residents living in a town with a mixed rural-urban population. Methods The subjects were divided into 8 groups by job (agricultural and non-agricultural), age (young and old), and gender (male and female). To evaluate the subjects' lifestyles, the Health Promoting Lifestyle Profile II (HPLP-II) was applied. The Bartlett test and the Kendall rank test were performed for statistical analysis.

The floating population refers to the large and increasing number of migrants without local household registration status and has become a new demographic phenomenon in China. Most of these migrants move from the rural areas of the central and western parts of China to the eastern and coastal metropolitan areas in pursuit of a better life. The floating population of China was composed of 121 million people in 2000, and this number was expected to increase to 300 million by 2010. Quality of life (QOL) studies of the floating population could provide a critical starting point for recognizing the potential of regions, cities and local communities to improve QOL. This study explored the construct of QOL of the floating population in Shanghai, China. We conducted eight focus groups with 58 members of the floating population (24 males and 34 females) and then performed a qualitative thematic analysis of the interviews. The following five QOL domains were identified from the analysis: personal development, jobs and career, family life, social relationships and social security. The results indicated that stigma and discrimination permeate these life domains and influence the framing of life expectations. Proposals were made for reducing stigma and discrimination against the floating population to improve the QOL of this population.