An Empirical Study on the Principles of Promoting Physical Health and Electronic Screen Use in Adolescents in the Context of Big Data

Abstract

Purpose: Though the quantity of time adolescents spend using digital devices has raised widespread concerns that this time could be detrimental to mental health, these possible harmful effects have not been well investigated. Intersectionality is a theoretical approach that has been used more often in empirical studies of health disparities to examine how social variables interact to produce health inequalities. Digital technologies have emerged as a primary means of delivering health-related services in recent times, a tendency that has been further strengthened by the ongoing COVID-19 pandemic. This paper investigates the connection between the general well-being of adolescents and suggests that, by using our country's "Adolescent Physical Health Statistics Analysis in 2020" as a benchmark for regression evaluation, the results of health training on interventions within the framework of the empirical research on the establishment of adolescent health data management and services systems can effectively reinforce the attachment the hypothesis of the physical in nature health of adolescents.

Method: The findings of the study demonstrate that by preventing students from engaging in physical activity, the notion of adolescence physical health management can enhance the physical health of teenagers. When processing data, GBDT works well with a sizable training collection. As sample size grows, the precision rate can approach 97.47%. The RF a position outperforms the GBDT method in terms of precise classification for male gender sitting forward bending development. With regard to the boys' 1000-meter managing promotional classifying operation, the RF approach yielded the greatest promotion identification rate, at 79.45%. When 70% of the training set is used in the male pulling ups to enhance the classification effect, the RF technique achieves the greatest precision rate, 97.07%.

Results: The classification success rate for females who stand for long jumping advancement ranges from 41% to 78%, according to the results of the effect of classification study. The RF method works best when the learning set is less than 50%; its maximum is 53.93%; the GBDT method performs best whenever the training set is lower than 50%; both the RF and GBDT indications have advantages in Macro-F1.

Conclusion: When practice rate arrives at 80%, the GBDT technique achieves an average reliability rate of 87.77%; on the Macro-F1 the index, the GBDT method is clearly the best. In the advertising of assessing the effect on the final health level of girls, the accuracy rates of the RF and GBDT methods vary between 80% to 97%, and the precision rates of the NN technique range from 70% to 97%. The article aims to educate the reader on the subtle distinctions between pertinent terms used at the interface of physical activity and digital wellness, as well as provide state-of-the-art descriptions for them. This is because unclear terminologies is a major source of difficulty in communicating science and can impede the advancement of empirical as well as theoretical studies.