Preventive medicine
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Preventive medicine · Sep 2023
School-level self-reported versus objective measurements of body mass index in public high school students.
Population-level surveillance of student weight status (particularly monitoring students with a body mass index (BMI) ≥95th percentile) remains of public health interest. However, there is mounting concern about objectively measuring student BMI in schools. Using data from the nation's largest school district, we determined how closely students' self-reported BMI approximates objectively-measured BMI, aggregated at the school level, to inform decision-making related to school BMI measurement practices. ⋯ Based on the objective measurement, 12.1% of students were classified as having obesity and 6.3% as having severe obesity (per CDC definition); the self-report data yielded 2.5 (95% CI: -1.964, -0.174) and 1.4 (95% CI: -2.176, -0.595) percentage point underestimates in students with obesity and severe obesity, respectively. This translates to 13% of students with obesity and 21% of students with severe obesity being misclassified if using self-reported BMI. School-level high school students' self-reported data underestimate the prevalence of students with obesity and severe obesity and is particularly poor at identifying highest-risk students based on BMI percentile.
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Preventive medicine · Sep 2023
Sex-specific population attributable risk factors for cardiovascular and all-cause mortality in the general population: Findings from the China PEACE million persons project.
Little evidence exists regarding the sex-specific population attributable risk factors for cardiovascular and all-cause mortality in the Chinese general population. We used a sub-cohort of the China Patient-Centered Evaluative Assessment of Cardiac Events million persons project to evaluate the overall and sex-specific associations and population attributable fractions (PAFs) of twelve risk factors for cardiovascular and all-cause mortality. 95,469 participants were included between January 2016 and December 2020. The twelve risk factors (including four socioeconomic status and eight modifiable risk factors) were collected or measured at baseline. ⋯ When stratified by sex, men had more risk factors that were significantly attributable to mortality than women, whereas low educational attainment had a more pronounced impact on female cardiovascular health. This study found that the twelve risk factors collectively explained a significant proportion of PAFs for all-cause and cardiovascular mortality. Several sex-related disparities in the associations between risk factors and mortality were noted.
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Preventive medicine · Sep 2023
Sport training damage prevention based on hybrid image retrieval scheme.
The web service is made of a variety of complex systems, but the core part is still a web service. This service maximizes the user's demand user satisfaction, the web service can be recommended according to the user's needs, the current Web service technology Not very mature, there is also an improved point in research we extracted a model, this model is the model of Hash, in which we can join the hash layer behind the full chain, by reducing the hash layer The number of nodes is low-level feature and compared with the current programs, we propose advice to network parameters in the model, because this can be used in model training, this algorithm can be left Setting the rate of learning and speeds up the speed of the model training. This model can play a very important role in the campus life, but if this model is applied to the competitive critical project, it may generate a motion damage, which occurs in this motion damage. The reason is because the intensity of the project is high, the rhythm is fast and strong, so in order to understand the damage status and damage characteristics of college students in the exercise process, we have conducted risk factors, and some precautions we can Do our best to reduce the phenomenon of sports injuries in college athletes, which is important for students' movement development.
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Preventive medicine · Sep 2023
Application of IoT detection based on deep self coding multidimensional feature fusion in sports training.
In response to the shortcomings of existing centralized IoT detection activities, this article proposes a new IoT detection scheme based on programmable switches and deep self coding, which combines programmable switches with IoT MQTT protocol and multidimensional feature fusion algorithm. Based on this point, a comprehensive programmable switch and machine learning centralized IoT detection system are designed. This system is different from traditional centralized IoT detection systems. ⋯ Therefore, based on the development of simulation systems, this article greatly enhances the practicality of such projects, effectively increasing the usage time and meeting the actual training needs. Therefore, The deep self coding computer simulation of sports training is an issue that we must pay attention to. The article conducted research on IoT detection based on deep self coding multidimensional feature fusion, and applied the research results to sports training, promoting the rapid development of sports training.