title: Time-series data analysis of blood-sugar level of a diabetic in relationship to lifestyle events.
abstract: Twelve days of time-series blood-sugar level data of a diabetic were analyzed in relationship to lifestyle events such as food ingestion, alcohol intake, and exercise. In this analysis, to exclude the influence of other lifestyle events on blood-sugar level variation, only data within time -windows where the target lifestyle event occurred, were considered. Three main results were obtained: (1) ingestion of grain or meat/fish/beans caused blood-sugar level to peak after one hour, (2) exercise decreased blood-sugar level rapidly in thirty minutes, (3) alcohol intake, particularly beer, increased blood-sugar level.
authors: Department of Healthcare Informatics, Takasaki University of Health and Welfare, 37-1, Nakaorui-machi, Takasaki-shi, Gunma, 370-0033, Japan. htakeuchi@takasaki-u.ac.jp
authors: Hiroshi
authors: H
authors: Takeuchi
authors: Naoki
authors: N
authors: Kodama
authors: Katsunori
authors: K
authors: Tsurumi
mesh_terms: D000428:Alcohol Drinking; D001515:Beer; D001786:Blood Glucose / Q000378:metabolism*; D003920:Diabetes Mellitus / Q000097:blood*; D004734:Energy Metabolism; D015444:Exercise; D005247:Feeding Behavior; D006801:Humans; D008019:Life Style; D008297:Male; D008875:Middle Aged; D013997:Time Factors
chemical_list: D001786:Blood Glucose