| Co-Investigator(Kenkyū-buntansha) |
SUZUKI Takao Tokyo Metropolitan Institute of Gerontology, Epidemiology , Director, 疫学, 部長 (30154545)
YOSHIDA Hideyo Tokyo Metropolitan Institute of Gerontology, Epidemiology , Research Scientist, 疫学, 研究員 (00242735)
TANAKA Kiyoji University of Tsukuba, Associate Professor, 体育科学系, 助教授 (50163514)
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| Budget Amount *help |
¥2,200,000 (Direct Cost: ¥2,200,000)
Fiscal Year 1999: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 1998: ¥1,400,000 (Direct Cost: ¥1,400,000)
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| Research Abstract |
This study was designed (1) to investigate the characteristics of bone mineral density (BMD), (2) to develop the best prediction equation for estimating bone mineral content (BMC) and bone-free lean tissue mass (LMT), (3) to examine the association of level of functional fitness to life satisfaction and lifestyle, and (4) to propose an age scale for assessing active fitness applicable to older people.
(1) The rate of bone loss was greater at the spine than other regionals. A comparison of the total body and 7 regionals (head, arms, legs, trunk, ribs, pelvis and spine) BMD between the young-old and the old-old showed that the calculated rate of BMD loss at legs was greater than other regional BMD loss. Advancing age was significantly associated with total body and regional BMD, and in particular the BMD loss of legs was accelated from the young-old to the old-old.
(2) Multiple regression equations developed in the present study for estimating LTM and BMC were: LTM = 0.401(Ht x Ht)RィイD2LOW
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ィエD2 - 4.897Sex + 0.164Wt + 17.586 (rm = 0.964, SEE = 2.05 kg) and BMC = 0.036Wt + 0.021Ht - 0.142Sex - 2.982 (rm = 0.887, SEE = 0.28 kg); where rm = multiple correlation coefficient, SEE = standard error of estimate (kg), Ht = height (cm), RィイD2LOWィエD2 = resistance at low frequency, and Wt = weight (kg). These equations may be applicable to a wide range of older Japanese persons with relatively high precision.
(3) Higher fitness group was found to show significantly better economic status and self-perceived health status, as well as significantly higher exercise habit. Lower fitness group was characterized by poor economic status and self-perceived health status, and showed lower exercise activity level. These results suggest that the level of functional fitness was significantly associated with the economic status, perceived health status, and habitual exercise activities in older Korean men.
(4) The equation developed for estimation of active fitness in older Japanese and Korean women was AFA = -4.92AFS + 72.98, AFS = -0.035XィイD21ィエD2 + 0.049XィイD22ィエD2 + 0.032XィイD23ィエD2 - 0.132XィイD24ィエD2 + 0.049XィイD25ィエD2 - 1.84; where AFA = active fitness age, AFS = active fitness score, XィイD21ィエD2 = walking around two chairs in a figure 8, XィイD22ィエD2 = manipulating pegs in a pegboard, XィイD23ィエD2 = functional reach, XィイD24ィエD2 = standing up from a supine position, XィイD25ィエD2 = grip strength. This index may help us to discriminate between individuals who share the same chronological age but differ in functional status of the older Japanese and Korean women. Less
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