Impact of Using m-Health App on Improving Undergraduate Students’ Sports and Health Habits and Their Attitudes toward Its Use

Abstract

This study aims to explore the Sultan Qaboos University undergraduate students' perceptions and attitudes towards using m-Health app and its impact on improving their sports and health habits. Triangulation was used by applying a questionnaire and focus groups interviews to answer the research questions. The survey sample was (20) male and female students from four science and humanities colleges. Both quantitative and qualitative findings unequivocally reveal the students' positive perceptions and attitudes toward the use of the mobile health app. No statistically significant differences were found between the responses of either males or females, or the science and humanitarian colleges of the sample students. In light of these findings, the study set forth its conclusions and recommendations.

Scientific Impact of Sports on Human Health and Physique Based on Optimization Big Data Ant Colony Algorithm

“…Consistency test is to test the deviation of judgment matrix. The calculation formula of consistency index (CI) is shown in formula (2). When CI = 0, the judgment matrix has complete consistency; when CI is close to 0, the matrix has relatively satisfactory consistency; when the value of CI is larger, the consistency of the judgment matrix is worse.…”

“…This study attempts to use big data to optimize big data ant colony algorithm to analyze the scientific impact of sports on human health and physique. Big data ant colony algorithm has been widely used in various fields because of its strong positive feedback mechanism, self-organization, and distributed computing characteristics [1,2]. de Santis' team proposed a metaheuristic routing algorithm (FW ACO) based on ant colony optimization (ACO) metaheuristic algorithm and Floyd-Warshall (FW) algorithm.…”

Designing an acceptance model and using public health apps by Iranian users

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