A Study on Personal and Lifestyle Factors that Affects Pulse Types

Objectives: The aim of this study was to elucidate the relationship between pulse types measured by pulse analyzer and several factors including smoking, drinking alcohol, exercises etc. Methods: The subjects were 71 persons who were tested by oriental health examination. A self-reported questionnaire was used to gather age, smoking, drinking alcohol, exercise state and gender. The pulse types were measured by DMP 1000. The index of stress and fatigue were measured by SA 3000. We analyzed the frequency of pulse types according to gender, ages, smoking, drinking alcohol etc by chi-square test with SPSS ver. 19.0. Results: In the main pulse types, there were significant differences according to age(p<0.05) and marginal differences according to drinking alcohol(p<0.1). In the secondary pulse types, there were marginal differences according to exercise, ages. But there was no significant differences according to gender, smoking, body mass index (BMI), accelerated photoplethysmography (APG) feature, stress and fatigue. Conclusions: This study suggests that the pulse types are affected by drinking alcohol, ages, exercise.

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