Mental health status and associated contributing factors among the Hakka elderly in Fujian, China

PurposeLittle is known about the mental health of the Hakka elderly. This study explores the status of, and factors associated with mental health among Hakka elderly populations from Fujian, China.MethodsThis is a cross-sectional, community-based survey study containing a total of 1,262 valid samples. The Chinese version Symptom Checklist-90-R (SCL-90-R) was used to assess the mental health status of the Hakka elderly. We used t-tests to compare the differences for 10 dimensions of SCL-90-R scores between the Chinese national norm and the Hakka elderly. Univariate and multivariate analysis were performed by using linear regression analysis to identify the main socio-demographic factors that were most predictive of the total score of SCL-90-R in the Hakka elderly.ResultsThe scores of somatization (1.78 ± 0.55 vs. 1.40 ± 0.46, P < 0.001) and phobic anxiety (1.21 ± 0.36 vs. 1.17 ± 0.31, P < 0.001) for the Hakka elderly in Fujian appeared to be significantly higher than the Chinese norm. The higher total scores of SCL-90-R were found among females (β = 0.030, P = 0.044), widowed persons (β = 0.053, P = 0.021), those with parent(s) alive (β = 0.047, P = 0.019), and those with poorer self-rated health status (β = 0.110, P < 0.001). The lower total scores of SCL-90-R were found among those who were currently living in town, those with lower education level, those with higher average annual household incomes, and those who were living with spouse or children.ConclusionThe worse mental health conditions of the Hakka elderly in somatization and phobic anxiety were detected. The overall mental health status was shown to be worse among females, widowed persons, those who were living in village, those with lower education, and those with father or/and mother alive

Striving for inclusion: evidence from China using a latent profile approach

Purpose This study aims to identify profiles of inclusion in the workplace to provide evidence-based guidance to build an inclusive organization. Design/methodology/approach Latent profile analysis (LPA), a person-centred classification analytical tool, was applied to determine the subtypes of inclusion with Mplus 7.4, using two-wave data collected from 368 employees in 8 Chinese companies. Findings Three subgroups were identified: identity inclusion group (the highest level of inclusion, 34.0%), value inclusion group (the moderate level of inclusion, 47.5%) and low inclusion group (the lowest level of inclusion, 18.5%). The findings indicate that groups with male, aged and highly educated members, as well as members from developed areas generally tend to feel more included and greater inclusion relates to more favourable outcomes and fewer detrimental consequences. Research limitations/implications As this study was conducted only in China, the results may not be generalizable to non-Chinese contexts. Practical implications The results may help organizational leaders develop a deeper understanding of the significance and the crux of inclusion. To address the duality of workforce diversity, managers can take initiatives to create an inclusive organization. To achieve inclusion, managers should pay attention to ways of improving the perceptions of inclusion among all employees. Originality/value This is among the first studies to identify the variants in inclusion in China using LPA. It reveals the subtypes and characteristics of inclusion and can serve as a starting point to explore how to realize organizational inclusion in theory and practice. </jats:sec

Making Peer-to-Peer Keyword Searching Feasible Using Multi-level Partitioning

Abstract. This paper discusses large scale keyword searching on top of peer-to-peer (P2P) networks. The state-of-the-art keyword searching techniques for un-structured and structured P2P systems are query flooding and inverted list inter-section respectively. However, it has been demonstrated that P2P-based large scale full-text searching is not feasible by using either of the two techniques. We propose in this paper a new index partitioning and building scheme, multi-level partitioning (MLP), and discuss its implementation on top of P2P net-works. MLP can dramatically reduce bisection bandwidth consumption and end-user latency compared with the partition-by-keyword scheme. And com-paring with partition-by-document, it need only broadcast a query to moderate number of peers to generate precise results.

Scientific creativity and innovation ability and its determinants among medical postgraduate students in Fujian province of China, a cross sectional study.

Abstract Background: Graduate education is a main approach to train high level innovative elites. With the expansion of the scale of graduate education in China, it has gradually emerged that the lack of innovation ability of graduate students is recognized as the primary problem in graduate education. How to comprehensively improve the quality of postgraduate teaching has become the core task of educational reform and development. However, data about the current cultivation and development of innovative ability of graduate students in China is limited. Methods: A questionnaire survey was conducted among medical postgraduate students. Descriptive statistics and multiple regression analysis methods were used to analyze the data to describe the current innovation ability in advanced medical education and potential influence factors. Results: A total of 1241 medical students were surveyed, according to the results of questionnaire data analysis. The proportion of subjects who participated in the College Student’s Entrepreneurship and Innovation program or any other scientific research programs are fairly high which are 46.82% and 29.20% respectively. Most of participant are observed with high levels of self motivation and active learning, and have good performance in creative thinking. However, only a small number of participants (16.6%) reported academic achievements such as publications. Most of the students are satisfied with the current scientific research environment and think that the current postgradute training system is qualified for cultivation of innovation ability, and expects the inclusion of course specialized in systemic medicine and medical informatics in the curricula. Multiple logistic regression results showed that among the factors studied, gender, medical specialties, types of master degree are associated with cognition &amp; skills, academic performance and creativity. Conclusions: It will be important to incorporate more techniques of creating and improving creativity in the curricula of the current postgraduate education, especially for course such as systemic medicine and informatics. Guidance in the earlier school life can stimulate creativity and an early introduction into scientific research work will facilitate innovative thinking and behavior. Scientific research programs such as the National Innovation and Entrepreneurship Training for University of PRC have been widely implemented in the undergraduate education system throughout the country. However, training effectiveness of the current scientific research programs is worth improving.</jats:p