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This study aimed to construct a childhood obesity risk index based on predictors identified in pregnant women and 1-yr-old infants. The primary outcome was an identified obesity index of > 20% at 6-8 yr of age. Of a total sample size of 6,846 mother-child pairs, 80% and 20% were randomly allocated to the derivation and validation cohorts, respectively. For the derivation cohort, univariate and multivariate logistic regression analyses of data were conducted to identify the final predictors to determine the childhood obesity risk score algorithm. These included pre-pregnancy body mass index (BMI), child's gender, smoking during pregnancy, education, and obesity index at one yr of age. The 6 coefficients for categories of predictor variables were each divided by the smallest value among them. The quotient was rounded off to the integer and assigned to the risk score, and a value of zero was assigned to reference categories. A total risk score was calculated for each individual. A cutoff point > 16 had 22.2% and 21.8% positive predictive values in the derivation and validation cohorts, respectively. In conclusion, the childhood obesity risk score algorithm was constructed based on generic predictors that can be easily obtained from maternal and child health handbooks. [ABSTRACT FROM AUTHOR]

This article examines the relationship between height and weight using the 2000 Report of School Health Statistics Research and constructed weight-for-height charts for Japanese school children and adolescents. It discusses obesity-related diseases, the definition of obesity and overweight status, and the methods used in the study.

This article examines growth standard charts with percentile values based on the year 2000 national survey data and constructed the growth standards with mean and standard deviation values for Japanese children. It discusses the age distribution of the numbers of measurements used for analysis, and the lambda-mu-sigma values of height and weight for Japanese children.