出版社:Fundación Científica y Tecnológica de la Asociación Chilena
摘要:a sample of miners with altered oximetry through the use of recursive partition trees. The design was transversal and the sample comprised 136 miners. There was a health interview and a psychosocial survey applied to each of the members of the sample. The data analysis was based on non-parametric descriptive statistics and recursive partition tress. We found various types of combination of factors that predict altered oximetry. The most important variables were age, the presence overweight or obesity, sedentary lifestyle, cholesterol, fatigue and symptoms of sleep deprivation. It was concluded that while some variables by themselves do not appear associated with altered oximetry, their combination may very well be considered good predictors.
关键词:REGRESSION ANALYSIS; MULTIVARIATE ANALYSIS; STATISTIC ,NON PARAMETRIC; OXIMETRY; WORKERS/PSYCHOLOGY; BODY WEIGTH; POPULATION CHARACTERISTICS; CROSS-SECTIONAL STUDIES; MINING/MANPOWER; CHILE.