Dòng Nội dung
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Effects of internet addiction and smartphone addiction on the sleep quality of students of the Faculty of Public Health, University of Medicine and Pharmacy at Ho Chi Minh City in 2023 / Minh Quang Lam, Nhat Duyet Pham, Linh Thy Le, Thi Thu Ha Dam // MedPharmRes . - 2025. - tr. 62-73. - ISSN: 2615-9139



Ký hiệu phân loại (DDC): 613.7946
Introduction: Internet addiction and smartphone addiction are global dilemmas. Excessive misuse of smartphones or the internet can adversely affect users’ health, psychological, spiritual, and quality of life. On the other hand, sleep has been considered one of the factors that make people’s lives and spirits the most comfortable. However, smartphone and internet addiction can adversely affect users’ sleep, especially in adolescents who are easily tempted and love to learn. Therefore, this study was conducted to determine the influence of smartphone and internet addiction on students’ sleep quality. Methods: This was a cross-sectional study conducted on students in the field of public health. The data were collected through a set of self-filling questionnaires with three scales to assess: Smartphone Addiction Scale-Short Version (SAS- SV), Internet Addiction Test (IAT), and Pittsburgh Sleep Quality Index (PSQI). Results: The results recorded 718 students participating in the study, with 67.1% female students. Students with smart- phone addiction accounted for 47.4%, and internet addiction accounted for 54.9%, including 95.7% of students with mild to moderate addiction. Students with internet addiction had 1.72 times poorer sleep quality than students who were not addicted to the internet (95% confidence interval (CI): 1.36–2.17). There was no association between smartphone ad- diction and students’s sleep quality (p=0.391). Conclusions: Students need to be informed to better understand the harmful effects of internet addiction to improve sleep quality.
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The artificial neural network model predicts the number of dengue cases based on weather factors in Vung Tau City of Ba Ria–Vung Tau Province : A correlational study / Quang Minh Lam, Hao Thi Tu Vu, An Dao Thien Nguyen, and Dang Ngoc Tran // MedPharmRes . - 2023. - tr. 64-72. - ISSN: 2615-9139



Ký hiệu phân loại (DDC): 616.93800633
This study was conducted to build an early forecast model for the dengue epidemic using an artificial neural network (ANN) in Vung Tau City in Ba Ria - Vung Tau Province. Weather factors (temperature, precipitation, humidity, wind speed) were all correlated with the number of dengue cases (p<0.05) in the 1/2010 - 12/2020 period. The ANN is a simulated information processing model based on the activity of the organism's nervous system, consisting of a large number of neurons mounted to process information. Of all the models we built, the ANN 10-7-1 model gave the best results with a total squared error (SSE) and relative error (RE) during network training of SSE=25.23, respectively; RE=0,58; correlation coefficient R2 =29.1%. The model showed that the number of dengue cases have marked tendencies to increase to increase or to decrease, also the forecast data was almost accurate compared to the actual number of dengue cases. The ANN can be applied to predict future dengue outbreaks in Vung Tau City. To increase the accuracy of the ANN model, it needs to be combined with other factors such as housing index, mosquito density, population,...
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