Many congenital diseases are associated with growth failure, and patients with these diseases have specific growth patterns. As the growth patterns of affected individuals differ from those of normal populations, it is challenging to detect additional conditions that can influence growth using standard growth charts. Disease-specific growth charts are thus very useful tools and can be helpful for understanding the growth pattern and pathogenesis of congenital diseases. In addition, disease-specific growth charts allow doctors to detect deviations from the usual growth patterns for early diagnosis of an additional condition and can be used to evaluate the effects of growth-promoting treatment for patients. When developing these charts, factors that can affect the reliability of the charts should be considered. These factors include the definition of the disease with growth failure, selection bias in the measurements used to develop the charts, secular trends of the subjects, the numbers of subjects of varying ages and ethnicities, and the statistical method used to develop the charts. In this review, we summarize the development of disease-specific growth charts for Japanese individuals with Turner syndrome and Noonan syndrome and evaluate the efforts to collect unbiased measurements of subjects with these diseases. These charts were the only available disease-specific growth charts of Turner syndrome and Noonan syndrome for Asian populations and were developed using a Japanese population. Therefore, when these charts are adopted for Asian populations other than Japanese, different growth patterns should be considered.
Asian Continental Ancestry Group ; Early Diagnosis ; Growth Charts* ; Humans ; Methods ; Noonan Syndrome* ; Selection Bias ; Turner Syndrome*

OBJECTIVEThe purpose of this study was to clarify the relationships among fall risk, physical activity habits, and ADL capability in a community-dwelling Japanese elderly population.

METHODSThe subjects were 1,407 Japanese aged 65 or older (604 males, 803 females). Fall risk was evaluated using the Falling Assessment Chart of Suzuki et al. (2003). Physical activity habits such as the frequency of leaving the house, the use of transportation, the frequency of physical exercise, and interests were evaluated. ADL capability was evaluated using the Tokyo Metropolitan Institute of Gerontology Index of Competence.

RESULTSApproximately 25% of the subjects had a high fall risk (score of 5 or more). Fall risk increased with age and ADL capability decreased with age. The group with a low fall risk (score<5) had a significantly higher ADL capability than the group with a high fall risk (score≥5). From results of two-way ANCOVA (gender×physical activity habits) with age as the covariate, the fall risk of people who regularly go on leaving the house, exercise, and have interests tended to be low. Further more, the relationships between the scores and physical activity habits were examined by two-way ANCOVA with age and ADL capability as the covariates. There were significant differences in the frequency of leaving the house, and elderly persons who leaved regularly the house, had a low fall risk.

CONCLUSIONSThis study showed that fall risk is closely related to ADL capability, and that the frequency of leaving the house is very important for reducing fall risk.