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A STUDY OF PREDICTING HUMAN PHYSICAL GROWTH AND JUVENILE DISEASES WITH AGING

预测人类身体发育和青少年疾病随衰老的研究

基本信息

批准号：
08458057
负责人：
SHOHOJI Takao
金额：
$ 3.84万
依托单位：
HIROSHIMA UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
1996
资助国家：
日本
起止时间：
1996 至 1998
项目状态：
已结题

项目摘要

We have continuously collected the longitudinal data for Hiroshima Growth Study samples which are the measurements of physical growth and chemical measurements of blood serum obtained in cooperation with the Asa Medical Association. After some data screening, longitudinal records of 2364 children have been made machine-readable.For 793 boys and 483 girls, we proposed two new growth models of height from birth to adulthood representing mid-growth spurt. These models are proposed from the fundamental growth model on the basis of degree of relative maturity. These growth models are better fitted than JPA2 and Count-Gompertz growth models being fitted well to individual growth records at present. However, we have to study basic research for mid-growth spurt.It is an established theory that adult height is independent of menarcheal age. When we control menarcheal height, the partial correlation coefficient between adult height and menarcheal age is negative and large. The similar relationships hold for any two biological phenomenon such as peak height Velocity, minimum height velocity, mid-growth spurt and menarche. These results are very useful for predicting the future growth and obesity, and we can also predict juvenile diseases with aging. We found a relationship between secular change of alkaline-phosphatase (or cholesterol) and growth velocity curve, but we -can't obtain any concrete results. For collecting longitudinal growth and medical records, we have developed a computer software to construct data bases on cohort studies for inexperienced medical doctors and nurses.

我们不断收集广岛生长研究样本的纵向数据，这些样本是与亚萨医学协会合作获得的物理生长测量和血清化学测量。经过一些数据筛选，2364名儿童的纵向记录已成为机器可读的。针对793名男孩和483名女孩，我们提出了两种新的身高增长模型，代表了从出生到成年的中期生长高峰。这些模型是在基本增长模型的基础上，根据相对成熟度提出的。这些生长模型比目前对个体生长记录拟合较好的JPA2和Count-Gompertz生长模型拟合得更好。然而，我们必须研究中期增长的基础研究。成年人的身高与月经初潮的年龄无关，这是一个既定的理论。在控制月经初潮高度时，成人身高与月经初潮年龄的偏相关系数为负且较大。类似的关系适用于任何两种生物现象，如高峰高度速度、最低高度速度、中期生长突增和月经初潮。这些结果对预测未来的生长和肥胖非常有用，也可以预测随年龄增长的青少年疾病。我们发现了碱性磷酸酶（或胆固醇）的长期变化与生长速度曲线之间的关系，但我们不能得到任何具体的结果。为了收集纵向成长和病历，我们开发了一个计算机软件来构建无经验医生和护士队列研究的数据库。