Objective: To understand the status of vision of Tibetan students aged 7-18 in China, and to provide the theoretical basis for prevention and controlling work of short-sightedness and making relevant policies. Methods: Cross-sectional survey method was applied to collect information of the eyesight of 2 418 Tibetan students and that of gender, age and work-and-rest habit of 1 910 students, and the status of eyesight of Tibetan students was analyzed, and Logistic regression analysis method was used to probe into the influencing factors of eyesight. Results: The mean left eye visual value was (4.75±0.33),and the median was 4.75(P25=4.5，P75=5.0). The mean right eye visual value was (4.74±0.33),and the median was 4.90(P25=4.5, P75=5.0). 1 520 students were detected with myopia, with the detection rate of 62.9%. The prevalence of myopia among Tibetan female students was higher than that of male (P<0.01). The detection rate of myopia was increased with age both in left and right eyes. Logistic regression model showed that students with insufficient physical education courses each week were associated with evaluated risk of myopia,compared with those with sufficient courses(OR=1.43, 95%CI=1.05-1.94, P<0.05). Conclusion The prevalence of myopia among Tibetan students aged 7-18 years old is rather high, and females are worse than males, senior students were worse than junior students. After controlling for factors like grade and gender, insufficient physical education courses at school is a risk factor of myopia.

Objective: To explore the relationship between paternal smoking and risk of childhood obesity , and to provide theoretical support for the identification and intervention of risk factors of obesity among children and adolescents. Methods: Physical examination and questionnaire survey was conducted among 38 228 students from 7 provinces in China. Log-binomial regression model was used to estimate the relationship between passive smoking and childhood obesity. Results: The students were divided into non-smoking goroup and smoking group auording to whether their fathers smoked or not, the former included 19 096 students(50.0%), and the latter included 19 132 students(50.0%). The obesity rate of the no-smoking group was 10.2%, the obesity rate from smoking group was 12.7%, the differences were of statistical significace (χ2=58.42, P<0.01). Univariate analysis showed that the risk for obesity in smoking group was 1.24 times higher than those in non-smoking group (95%CI=1.18-1.32, P<0.05). Adjusting regression indicated that the risk for obesity in smoking group was 1.28. times higher than non-smoking group (95%CI=1.21-1.35, P<0.01). Conclusion Paternal smoking increases the risk of obesity in children and adolescents. Parents should avoid smoking and other unhealthy lifestyle, so as to effectively control the incidence of obesity in children and adolescents.