Data mining-based subhealth analysis of Chinese software programmers in 2017

Abstract

Abstract This work analyzes the suboptimal health (subhealth) status of Chinese software programmers in 2017 and reveals its major causes. By using the Chinese subhealth evaluation scale (CSHES), programmers from China were invited to participate in the designed survey. On the basis of the analysis of the programmer's score in terms of the CSHES, the data were processed with a logistic regression model and analyzed to reveal the major causes of subhealth. The data analysis results show that the Chinese programmers' subhealth issue in 2017 is mainly induced by metabolic disorders, depression, pressure, satisfaction, and the quality of their sexual life. Through this survey based on a data-mining study, Chinese programmers can clearly understand their own health status through their own subhealth characterization, discover their own possible causes of subhealth status, develop a healthy lifestyle in accordance with the corresponding symptoms, and improve their health level.