Preventive medicine
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Preventive medicine · Aug 2023
Factors associated with smoking cessation in exclusive smokers and dual users of e-cigarette and conventional cigarettes from CDTnet registry.
Dual use of electronic cigarettes and conventional cigarettes may be a transitional state towards cigarette smoking cessation. However, maintaining dual use may increase tobacco-related consequences as smoking behavior persists. The aim of our study was to describe characteristics of dual users and explore factors associated with their one-month abstinence in comparison to exclusive smokers in French smoking cessation services (SCS). ⋯ Factors positively associated with cessation in dual users were: being employed or retired, declaring three or more previous quit attempts, presenting with low nicotine dependence and high motivation to quit and benefiting from at least four follow-up consultations. Our results suggest that dual users seeking help to quit in SCS seem to benefit from support as much as exclusive smokers to reach abstinence, despite a higher level of nicotine dependence and comorbidities. Further research, especially qualitative, is needed on this specific group of smokers to provide tailored interventions to quit.
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Preventive medicine · Aug 2023
Health prevention intervention for chronic tissue fibrosis: Based on the specific expression of CCL19/21 + mast cell.
Chronic tissue fibrosis is a common pathological feature of connective tissue diseases and malignant tumors, and its prevention has been a major focus of relevant research. However, the details of the mechanism of action of tissue-colonizing immune cells in fibroblast migration are unclear. In this study, connective tissue disease tissue specimens and solid tumor specimens were selected to observe the relationship between mast cells and interstitial fibrosis and the expression characteristics of mast cells. ⋯ In disease tissue fibrosis, mast cell activation may increase the expression of chemokines, especially CCL19, in the tissue, thereby inducing a large number of CCR7-positive fibroblasts to migrate to specific tissues. This study lays a foundation for the mechanism of tissue fibrosis and provides evidence for the mechanism by which mast cells induce fibroblast migration. Through the experimental results of this paper, we can combine the induction factors of chronic tissue fibrosis and put forward targeted health prevention strategies.
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Preventive medicine · Aug 2023
Application of image super-resolution recognition and artificial intelligence system in repairing students' psychological education problems.
With the continuous development of society, people's life pressure is constantly increasing, and the mental health problems of college students are becoming increasingly prominent, bringing many challenges to their education and management. Universities should not only cultivate students' theoretical and professional knowledge and practical skills, but also attach importance to their mental health and effectively implement psychological education. Therefore, it is very necessary to develop and design a simple and effective student psychological evaluation system. ⋯ The use of B/S architecture in the development and use of. net technology and web server technology will enable more students to connect and use different terminals. In addition, an algorithm for image super-resolution recognition was proposed, which uses clustering convolution to improve residual blocks, improves modeling ability by extracting features on a larger scale, reduces the number of parameters to improve model calculation efficiency, and enables mental health educators and managers to work better. This article combines image super-resolution recognition technology with artificial intelligence technology to apply it to the process of psychological education in universities, thereby promoting the development of problem repair applications.
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Preventive medicine · Aug 2023
Data analysis of physical recovery and injury prevention in sports teaching based on wearable devices.
Athletes can also cause damage to some parts of their body during training, so specialized preparation activities should be carried out before athlete training to reduce the damage caused to the athlete's body, allowing the stressed parts to move and distribute the load. Excessive recovery has a significant effect on improving the performance level of the athletes studied and preventing sports injuries. This article studies the data analysis of body recovery and injury prevention in physical education teaching based on wearable devices. ⋯ By using Internet of Things technology to transmit data to cloud servers, data analysis and mining techniques are used to process the data and study issues related to body recovery and injury prevention. Specifically, this article adopts methods such as time series analysis, machine learning algorithms, and artificial neural networks to analyze the relationship between exercise data and body recovery and injury prevention, providing scientific guidance and support for physical education teaching. This method can monitor students' exercise data in real-time, predict the risk of physical recovery and injury, and provide corresponding prevention and guidance suggestions.
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Preventive medicine · Aug 2023
Sensor-based cloud computing data system and long distance running fatigue assessment.
Wireless sensor networks are widely used in sports training, medical and health care, smart home, environmental monitoring, cloud data and other fields because of their large scale, self-organization, reliability, dynamic, integration and data centralization. Based on this point, this article conducts a comprehensive analysis and research on cloud computing data systems, and designs and implements a dynamic replication strategy. Since different users have different demands for different data at different times, it is necessary to record and analyze recent users' data access, so as to actively adjust the number and location of data blocks. ⋯ This study will design a simulated specialized exercise load experiment to reproduce the load characteristics of excellent athletes during mid to long distance running, in order to induce exercise fatigue in the main muscles of different parts of their bodies. At the same time, the amplitude frequency joint analysis of the surface changes of EMG signal in this process is carried out. This article conducts research on sensor based cloud computing data systems and long-distance running fatigue assessment, promoting the development of cloud computing data systems and improving long-distance running fatigue assessment methods.