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Objective@#To identify the lifestyle pattern of adolescents in Guangzhou and to provide a scientific basis for targeted and individualized interventions for adolescents with different lifestyle pattern.@*Methods@#A survey was conducted by questionnaire among 12 540 students from 27 middle schools in the urban area of Guangzhou using a convenient sampling method. The latent class model (LCM) was used to identify lifestyle patterns of adolescents, and further analyses were conducted to compare differences in dietary habits and willingness to exercise among the different classes.@*Results@#Three lifestyle patterns were identified based on the latent class model: "high sweet snacks/excessive screen time, sleep and exercise deficiency group", 3 797 people, accounting for 30.3%; "low nutrition diet/severe sleep and exercise deficiency group", 2 745 people, accounting for 21.9%; "general diet/sleep and exercise deficiency group", 5 998 people, accounting for 47.8%. Adolescents of different classes had different perceptions of their eating habits and different degrees of willingness to participate in physical exercise, these differences were statistically significant(χ 2=671.54, Z=153.16, P<0.05).@*Conclusion@#The results of the latent class model showed that the three classes of adolescents had their own unique characteristics. It is necessary to inform them of their needs, provide guidance and implement targeted interventions according to the unique characteristics of the different lifestyle patterns in empirical work.
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Background: Direct oral anticoagulants (DOACs) have been widely used in patients with atrial fibrillation (AF) for antithrombotic prophylaxis, which were shown to have a favorable risk-benefit profile. However, there are no guidelines for the use of DOACs in elderly patients (aged ≥75 years) with AF, which creates uncertainty about the optimal antithrombotic treatment in these patients. Methods: After comprehensively searching Embase, PubMed, and Cochrane databases, five phase III randomized controlled trials involving 28,137 elderly participants were included in this study. The efficacy outcome was stroke or systemic embolism, and the safety outcome was major bleeding. We conducted a network meta-analysis by using a Bayesian random-effect model for the first time to evaluate the efficacy and safety of main DOACs (apixaban, edoxaban, rivaroxaban, and dabigatran) and warfarin in elderly patients with AF. Hazard ratios (HRs) and their corresponding 95% confidence intervals (CIs) were used to assess the effect of drugs on efficacy and safety. The rank probabilities were used to reflect the hierarchy of drugs, and a larger rank probability value symbolized a better rank of drugs. Results: In the prophylaxis of stroke or systemic embolism, apixaban was found to be the best among DOACs compared to warfarin (HR, 0.71; 95% CI: 0.33-1.50), though this finding was not statistically significant. Apixaban ranked the best (rank probabilities, 41.2%) in efficacy of drugs, followed by rivaroxaban, edoxaban, dabigatran, and warfarin (rank probabilities, 31.8, 15.9, 10.9, and 0.2%, respectively). In reducing the risk of major bleeding, apixaban was found to be the best among DOACs too, compared to warfarin (HR, 0.64; 95% CI: 0.33-1.30), though this finding was not statistically significant. In safety, apixaban ranked the best (rank probabilities, 71.4%), followed by edoxaban, dabigatran, warfarin, and rivaroxaban (rank probabilities, 21.0, 5.8, 0.9, and 0.8%, respectively). Conclusions: DOACs showed a lower incidence of stroke/systemic embolism and major bleeding compared with warfarin in antithrombotic therapy in elderly patients (aged ≥75 years), with apixaban being the best of those interventions. Therefore, apixaban should be given priority as an anticoagulant in stroke prevention for elderly patients with AF.
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Objective@#To evaluate effects of mobile health intervention on vegetables and fruits intakes, screen time, body mass index, BMI Z score and waist circumference in children and adolescents.@*Methods@#The literature search was performed to find articles published up to December 2018 in the databases: PubMed, Embase, Cochrane Library, CNKI, Wanfang. The articles focusing on the keywords of "prevention" "children" "adolescents" "obesity" "weight loss" "m-Health" "mobile phone" "mobile application" "mobile techonology" "cell phone" "smartphone" "mobile apps" for the delivery of children and adolescents obesity interventions were included. Stata 13.0 software was used for Meta-analysis.@*Results@#A total of 15 studies were included, and mobile health had an effect on the vegetables and fruits intakes and screen time for children and adolescents. Mobile health was more effective in the intervention participants compared to controls, the standardized mean difference (SMD) and 95%CI were 0.54 (95%CI=0.27-0.81) and -0.32(95%CI=-0.47--0.18),respectively. However, no statistical differences in the BMI, BMI Z score and waist circumference were found between intervention and control groups.@*Conclusion@#The effect of mobile health intervention on obesity in children and adolescents needs more long-term follow-up and larger sample size studies to clarify.