Preventive medicine
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Preventive medicine · Sep 2023
Squamocolumnar junction visibility among cervical cancer screening population in Peru might influence upper age for screening programs.
Cervical cancer screening and treatment of screen positives is an important and effective strategy to reduce cervical cancer morbidity and mortality. In order to have an accurate cervical cancer screening and evaluation of positives, the entire Squamocolumnar Junction (SCJ) must be visible. Throughout the life course, the position of the SCJ changes and affects its visibility. ⋯ Of the 4247 participants screened, the SCJ was fully visible in 49.7% of participants, partially visible in 23.1%, and not visible in 27.2%. Visibility decreased with age, and by age 45 years old, the SCJ was not fully visible in over 50% of participants. Our results show that a high percentage of participants at ages still recommended for screening do not have totally visible SCJ, and we may need to reconsider the upper age limit for screening and find new strategies for evaluation of those with a positive screening test and non-visible SCJ.
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Preventive medicine · Sep 2023
Identification of key genes in spontaneous cerebral hemorrhage and prevention of disease damage: LASSO and SVM regression.
Prevention is more important than treatment, and the incidence of intracerebral hemorrhage can be effectively reduced by intervening on the risk factors of intracerebral hemorrhage. By studying the risk factors of spontaneous intracerebral hemorrhage, we can identify the risk factors to achieve the target of treatment and prevention. Through the use of the Least Absolute Shrinkage and Selection Operator (LASSO) and the Support Vector Machine (SVM), the two essential SICH-related genes, NUAK1 and ERO1L, were eliminated from consideration. ⋯ One gene (NUAK1) was dramatically downregulated in the illness group compared to the control group, whereas three essential genes (ERO1L, VCAM1, and COL6A2) were significantly upregulated in the disease group. In the end, the genes ERO1L, VCAM1, COL6A2, and NUAK1 were shown to be the most important ones for SICH. It is anticipated that these genes will become novel biomarkers as well as targets for the development of new pharmacotherapies for SICH.
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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
Exposure to adverse childhood experiences and diabetes: Mediational role of short sleep duration.
Adverse childhood experiences (ACEs) are associated with an increased risk of diabetes in adulthood. However, the potential mediational role of sleep duration in this association is unclear. A total of 116, 014 participants in the United States, from the Behavioral Risk Factor Surveillance System (BRFSS) survey in 2020 were involved in the study. ⋯ For the different types of ACEs, alcohol abuse in the household (OR = 1.13, 95%CI 1.08; 1.18), witnessing domestic violence (OR = 1.17, 95%CI 1.11; 1.23), emotional abuse (OR = 1.11, 95%CI 1.06; 1.16), physical abuse (OR = 1.22, 95%CI 1.17; 1.28), sexual abuse (OR = 1.25, 95%CI 1.18; 1.32) and short sleep duration (OR = 1.26, 95%CI 1.21; 1.32) independently increased the odds of diabetes. There was also an indirect relationship between alcohol abuse in the household, witnessing domestic violence, physical abuse, sexual abuse, and diabetes via short sleep duration. Short sleep duration plays a partial mediating role between ACEs and diabetes, including alcohol abuse in the household, witnessing domestic violence, physical and sexual abuse.
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Preventive medicine · Sep 2023
Standardized motion detection and real time heart rate monitoring of aerobics training based on convolution neural network.
In order to make the teaching and training of aerobics more standardized, it is necessary to use scientific means to detect and monitor the movement standardization in teaching and training and the change of human heart rate in the training process, but at present, there are some difficulties in both detection and monitoring, Therefore, this paper proposes to use the advantages of convolutional neural network to solve the current aerobics teaching problems of motion detection and heart rate monitoring. In the process of operation, the complete aerobics video needs to be divided into several different images, the standardized action image background needs to be eliminated, and then the visual error caused by the difficult action image needs to be corrected. ⋯ It can not only save the time of contact with the human body, but also integrate various information of the time dimension, reducing a lot of computing steps, saving a lot of computing resources for practical work, and promoting the improvement of system output signal quality to a certain extent. The result of the experiment also proves that the convolutional neural network can improve the accuracy of students' movement detection and heart rate change monitoring in aerobics teaching and training.