2005 Fiscal Year Final Research Report Summary
Construction of physiological, hematological and biochemical databases for the "Lifespan Prediction Model"
Project/Area Number |
15300230
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Applied health science
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Research Institution | University of Tsukuba |
Principal Investigator |
TANAKA Kiyoji University of Tsukuba, Graduate school of comprehensive Human Sciences, Professor, 大学院・人間総合科学研究科, 教授 (50163514)
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Co-Investigator(Kenkyū-buntansha) |
SONE Hirohito University of Tsukuba, Graduate School of Comprehensive Human Sciences, Assistant Professor, 大学院・人間総合科学研究科, 講師 (30312846)
SHIGEMATSU Ryosuke Mie University, Faculty of education, Associate professor, 教育学部, 助教授 (60323284)
NAKAGAICHI Masaki Nagasaki University, Research and development center for higher education, Associate professor, 大学教育機能開発センター, 助教授 (10312836)
NAKADOMO Fumio Osaka prefecture University, School of nursing, Professor, 看護学部, 教授 (50079125)
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Project Period (FY) |
2003 – 2005
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Keywords | vitality age / database / older adults / physiological age / ageing / activities of daily living / exercise habituation / quality of life |
Research Abstract |
The purposes of this study were 1)to examine the relationship between lifespan and physical vitality (vital age) based on physiological, hematological and biochemical cross-sectional data, and 2)to evaluate the validity of estimating lifespan using the <Lifespan Prediction Model> by comparing middle-aged and older adults with lower physical vitality to those with higher physical vitality. Physical vitality was based on a combination of health/fitness information for anemia, serum cholesterol level, agility and aerobic work capacity. Participants in this study were 232 Japanese people (78 men and 157 women, aged 27-91 years) who underwent the physical vitality assessment. During the follow-up study period from 1991 to 2005,twelve people (9 men and 3 women) died. This study attempted to test the hypothesis that lifespan can be predicted from the difference between chronological age and vital age (based on physical vitality scores). The following results were obtained : 1.Patients with cardiovascular disease and diabetes mellitus who died during the follow-up period had relatively lower physical vitality as evidenced by anemia, lower HDLC, and lower physical fitness level at baseline. 2.Vital age for regularlyexercising coronary patients was significantly younger than patients who stopped exercising. These results indicate that exercise habituation for an extended period of time (5 years or more) favorably affects the physical vitality of coronary patients, supporting a model of lifespan prediction using physical vitality consisting of anemia, serum cholesterol level, agility and oxygen uptake.
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Research Products
(20 results)