The Decision Supports for Male Migrant Workers’ Physical Features at Different Stages of Physical Exercise Behavior by Association Rules Based Data Mining Technology

摘要

With the adjustment of agricultural and rural economic structure, rapid industrialization and urbanization, more than a third of rural labor transferred to non-agricultural industries in China. Guangzhou was one of the major areas introducing many rural labor forces. Migrant workers became a huge group of workers. The health state of migrant workers was directly related to economic development. In fact, the health state of migrant workers was not optimistic in China. Migrant workers, as a special group, has become the “bottleneck” or the “blind spot” for extensively and deeply developing the National Fitness Program. The study aimed at providing decision supports for the health promotion of the migrant workers. Methods: 435 healthy male migrant workers (20~40 years old) were recruited on Guangzhou, China. The physical data was acquainted by Chinese Nation Adults’ Physical Health Standard. Physical Exercise Behavior Stages Questionnaire was the classification standard of exercise behavior change stage (EBCS). Association rules-based data mining technology was applied in this study to find out the potential links between physical features and EBCS on migrant workers, analyze their physical conditions at different EBCS, and provide health promotion decision supports for migrant workers. Results: Results showed that migrant workers displayed different physical features at different EBCS. The decision supports health promotion for migrant workers should be different at each different EBCS. Conclusions: The decision supports of health promotion for migrant workers were mainly included controlling and managing an appropriate body weight, especially at the pre-contemplation stage (PCS), being alert to the increased risk of hypertension at PCS, preparation stage (PS) and maintenance stage (MS), increasing their flexibility at PCS, and preventing the decline of cardiopulmonary function at PS.