| 1 | Knowledge and prevalence of energy drinks consumption in Shanghai,China:a cross-sectional survey of adolescents显示文摘Background In recent years,energy drinks(EDs)have been widely used among young people around the world.The extensive use of EDs also affects the sleep and exercise of adolescents.Aims This study aimed to investigate the consumption of EDs,the knowledge,attitude towards EDs and associated factors of EDs consumption among adolescents in Shanghai,China.Methods A total of 4608 adolescents completed a self-administered questionnaire assessing EDs use history,knowledge and attitude towards EDs.Adolescent Self-rating Life Events Checklist(ASLEC)was used to assess their life events.All participants were divided into two groups based on whether they used them or not.t-test andχ^(2)test were used to compare the differences between the two groups,and binary logistic regression analysis was used to investigate the related factors for EDs consumption.Results 70.5%of the participants reported having ever used EDs.The main avenues to getting information on EDs were from advertisements.67.56%of them believed that EDs had adverse effects on health.22.09%of the participants and 31.55%of their parents took a negative attitude towards EDs.Compared with the non-consumption group,participants in the consumption group were likely to be male,with older age,identified EDs more correctly and did not believe EDs had adverse effects,with more positive attitude and higher ASLEC score.Logistic regression results showed that gender,age,attitude of parents and themselves,knowledge of EDs and ASLEC score significantly predicted EDs consumption.Conclusion EDs consumption was popular among adolescents in Shanghai,and the tailored intervention programmes need to be developed based on the characteristics of adolescents. | Ruyan Luo Rao Fu Lu Dong Zheyi Du Wei Sun Min Zhao Jiang Du | 2021 | General Psychiatry2021，34，3： | 0 |
| 2 | UTM:A trajectory privacy evaluating model for online health monitoring显示文摘A huge amount of sensitive personal data is being collected by various online health monitoring applications.Although the data is anonymous,the personal trajectories(e.g.,the chronological access records of small cells)could become the anchor of linkage attacks to re-identify the users.Focusing on trajectory privacy in online health monitoring,we propose the User Trajectory Model(UTM),a generic trajectory re-identification risk predicting model to reveal the underlying relationship between trajectory uniqueness and aggregated data(e.g.,number of individuals covered by each small cell),and using the parameter combination of aggregated data to further mathematically derive the statistical characteristics of uniqueness(i.e.,the expectation and the variance).Eventually,exhaustive simulations validate the effectiveness of the UTM in privacy risk evaluation,confirm our theoretical deductions and present counter-intuitive insights. | Zhigang Yang Ruyan Wang Dapeng Wu Daizhong Luo | 2021 | Digital Communications and Networks2021，7，3： | 0 |
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