Preventive medicine
-
Preventive medicine · Aug 2023
The preventive effect of PNF stretching exercise on sports injuries in physical education based on IoT data monitoring.
In physical education, in order to prevent sports injuries of students, it is necessary to study and build a set of physical education Internet of Things data monitoring training system to prevent sports injuries of students. This system is mainly composed of sensors, smart phones and cloud servers. ⋯ By analyzing students' sports data and health data, the system generates personalized training programs, including training intensity, training time, training frequency and other parameters, so as to meet the needs and actual conditions of different students and avoid sports injuries caused by overtraining. This system can better analyze and process the collected data, provide teachers with more comprehensive and in-depth assessment and monitoring of students' sports status, and provide students with more personalized and scientific training programs, so as to effectively prevent the occurrence of students' sports injuries.
-
Preventive medicine · Aug 2023
Socioeconomic inequities and barriers to physical activity in Argentina.
Physical activity (PA) is recognized as a protective factor for health. Despite the importance that has been given to health differences in recent decades, strong inequities still persist. This article examines the inequities in the levels and barriers to PA in Argentina. ⋯ The main barrier to PA was lack of time (37.3%), followed by health reasons (24.3%) and lack of will (15.4%). Females, individuals who were married or in a couple relationship, those with incomplete secondary education, those who belonged to the three low-income quintiles, and people over 65 years old were 34% (OR 0.66 95% CI 0.59-0.65), 17% (OR 0.83 95% CI 0.79-0.88), 41% (OR 0.59 95% CI 0.56-0.62), 36% (OR 0.74 95% CI 0.70-0.78), and 51% (OR 0.49 95% CI 0.45-0.53) less likely to comply with WHO guidelines, respectively. To plan public policies to promote PA, it is necessary to consider inequities related to physical inactivity, while understanding the PA patterns according to social determinants.
-
Preventive medicine · Aug 2023
The physical activity implications of retirement across occupational activity groups.
Retirement is an important later life transition which may represent a critical period for physical activity in older age. Past findings on the association between retirement and physical activity are inconclusive and there is some evidence that the physical activity implications of retirement may differ by occupational activity level. This study used data from waves 4-9 (June 2008-July 2019) of the English Longitudinal Study on Aging to evaluate whether there is an association between retirement and physical activity, and whether this varies across occupational activity groups. ⋯ This study quantified the importance of retirement for later life physical activity. With demographic aging, the population health importance of later life physical activity will likely become more important. These findings should inform the design of public health interventions to increase physical activity around the retirement transition.
-
Preventive medicine · Aug 2023
Action recognition for sports combined training based on wearable sensor technology and SVM prediction.
In the field of sports, coaches have mainly relied on observing the performance of athletes on the spot to formulate suitable training plans for athletes, which has extremely high requirements for the professionalism of coaches. Based on the above requirements, this paper designs a sports action recognition system for sports enthusiasts based on the SVM algorithm optimization model, and for the purpose of verifying the applicability of the system to different sports fields, experiments are carried out on basketball actions and race walking actions. The system uses wearable sensors to capture the motion data of the user, and then analyzes and identifies the user's actions through the SVM algorithm optimization model. ⋯ Combining the forward kinematics of the robot and the homogeneous coordinate transformation, the human body joint rotation motion model and the human bone position and posture model are established. In the end, the user can standardize the sports combination training under the system algorithm. In this paper, through the research of wearable sensor technology and sports combined training action recognition, and apply it to practical life, it aims to promote its development and application.
-
Preventive medicine · Aug 2023
Knowledge of cancer risk factors and risk-reduction in high-income countries.
According to the International Public Opinion Survey on Cancer 2020, on average, nearly 1 in 3 individuals in high-income countries (HIC) did not engage in risk reduction. Meanwhile, only 1 in 4 individuals reported being aware that eating red and processed meat was a cancer risk factor. We explored relations between risk-reduction behavior and self-perceived knowledge of cancer risk factors in HIC using data from the survey. ⋯ Every unit increase in the proportion of the population knowledgeable about a cancer risk factor, on average across risk factors and HIC, significantly increases the proportion of people engaging in risk reduction by approximately 16.91%. A significant interaction effect was found between knowledge and country, but not between knowledge and risk factor. Using respondents' non-response options to represent lack of risk factor knowledge Japan had the largest percentage of individuals lacking knowledge about risk factors as well as the largest percentage of individuals not engaging in risk reduction.