Abstract
The information handled by occupational health physicians and nurses has diversified in recent years. In order to provide appropriate care following health checkup for workers according to their health condition, it is necessary to efficiently and effectively analyze the obtained data. In the present study, segmenting of health for workers with the objective of elucidating their health condition was conducted using three domains of information that could be obtained at the workplace. An anonymous self-report questionnaire survey was distributed to 439 workers at a contracted industrial health association. Survey items included basic attributes (month of birth, sex), overall result of health checkup, the Japanese version of K6, and the Team Communication Interfaces scale. A total of 262 individuals (93 males and 169females) provided complete responses. Data were analyzed using Kohonen's Self-Organizing Map, which is currently being applied in data mining and visualization of multidimensional data. Subjects were classified into nine groups. In the present study, workers were classified by their health condition and data were presented visually. The segmenting of health performed herein was considered useful for determining the overall health condition of workers and selecting subjects who required treatment.
