Objective:To observe the effect of different concentration of Qianggubao decoction extract on proliferation of osteoblastic cells cultured by high glucose in vitro. Methods: osteoblastic cells was isolated from the skull of 1-2 day newly born SD rats by means of Trypsin-collagenase digestion and identified by image analysis,V-G collagen staining,ALP staining, calcification nod staining etc. Different concentrations of Qianggubao decoction extract were added to the osteoblastic cells cultured by high glucose in vitro(final concentration:300mg/dl)and incubuted.The effects of Qianggubao decoction extract on the proliferation of osteoblasts was monitored by MTT analysis. Results:Qianggubao extract of 100, 50, 10?g/ml all promoted for osteoblastic cell proliferation, the 100?g/ml and 50?g/ml had the better effects (P

Objective: This study aims to explore factors associated with parental mediation of children’s vision care and digital technology use. Methods: By using a probabilityproportionate sampling method, a total of 3 249 parents of junior primary school students completed the selfadministered questionnaire in second semester of 2018 from Taipei and Pingtung. Results: Parents had moderate scores in children’s vision care beliefs, selfefficacy and parental mediation. Children spent an average of 7 hours on digital technology use per week. Multiple regression analysis results showed that parents who had intact family, not providing children with personal digital technology devices, spent less time in digital technology devices, and had higher levels of vision care beliefs, higher mediation efficacy, and more cues to action were more likely to have higher levels of vision care mediation behaviors. Whereas children who were at senior grades, low household income, from nonintact families, owned personal digital technology devices, whose parents spent more time using digital technology devices and implementing low levels of parental mediation were more likely to spend more time using digital technology devices. Conclusion Schools and communities could provide more parental training and parentchild colearning opportunities to enhance parental mediation of children’s vision care behavior and reduce excessive digital technology use.

Abstract With the promotion of health-promoting school (HPS) in China, the school health workers’ awareness of the HPS’ connotation is deepening. The literature review method was used to systematically review the relevant research literature about HPS in Taiwan. We summarized the characteristics of Taiwan HPS in 4 stages: embryonic stage, growing stage, consolidation stage and up-graded stage. Furthermore, we concluded that the HPS’ features of strengthening the evidencebased HPS program, establishing the Health-Promoting School Supporting Network(HPSSN), promoting life skills integrated the health education, and building comprehensive supportive environment as well as Taiwan HPS website. In summary, we proposed that the government should provide much more policy support and funding, establish the HPS supporting network, and strengthen life skills as well as health literacy oriented health teaching, and so on.

OBJECTIVE: To analyze the influencing factors of drinking behavior of manufacturing workers and their impact on their quality of life. METHODS: A total of 594 manufacturing workers were selected as research subjects using stratified cluster sampling method. Their drinking behavior, physical activity status and quality of life were investigated by the Drinking Behavior Questionnaire, International Physical Activity Questionnaire-Short Form and Short Form 36 Health Survey Questionnaire, respectively. RESULTS: The overall drinking rate of the subjects was 32.2%(191/594). Multivariate logistic regression analysis results showed that male workers had higher risk of drinking behavior than female workers(P<0.01). The risk of drinking behavior of smoking workers was higher than that of non-smokers(P<0.01). The risk of drinking behavior of workers with medium or high physical activity levels was higher than that of workers with low activity levels(P<0.01). The results of multiple linear regression analysis showed that after adjusting for the effects of gender, age, marital status, education level, monthly income, household registration, length of service, work shift, weekly work hours, industry type, smoking, physical activity level and other confounding factors, drinking did not affect the physical or psychological quality of life of workers(P>0.05). CONCLUSION: Gender, smoking and physical activity may be important factors influencing the drinking behavior of manufacturing workers. Drinking may have no effect on quality of life of manufacturing workers.