Project/Area Number |
23500813
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Applied health science
|
Research Institution | Takasaki University of Health and Welfare |
Principal Investigator |
|
Co-Investigator(Kenkyū-buntansha) |
KURABAYASHI Masahiko 群馬大学, 医学系研究科, 教授 (00215047)
KODAMA Naoki 高崎健康福祉大学, 健康福祉学部, 准教授 (50383146)
|
Project Period (FY) |
2011 – 2013
|
Project Status |
Completed (Fiscal Year 2013)
|
Budget Amount *help |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2011: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
|
Keywords | 健康データマイニング / 個人健康管理 / 時系列データ解析 / 遅延相関分析法 / クラウドコンピューティング / 個人健康管理システム / 時系列相関解析 / クラスタ解析 |
Research Abstract |
Correlations between energy expenditure/supply and body-fat percentage were studied using personally stored daily time-series data. The weighting patterns for the summation of daily time-series energy expenditure and supply data giving the maximum correlations with the variation of daily body-fat percentage data were obtained. The weighting patterns can be expressed by two parameters whose combination is considered to characterize the nature of personal health. The combination of the parameters for a subject was found to show a significant bias in the frequency distribution, independent of season and aging, for the term of seven years, and the combination of the parameters of 20 other subjects showed a tendency to divide into two types.
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