数据链接:
官方服务:
资源简介:
Related factors to timing of adiposity rebound.
应用场景:
创建时间:
2020-10-30
相关数据集
Univariate logistic regression analyses using derivation cohort data with regard to association to obesity at age 10.
OR = odds ratio 95% CI = 95% confidence interval Early adiposity rebound = Adiposity rebound before age 5 (y/n) Age at adiposity rebound = Adiposity rebound at age 2½ years, 4 years or at age 5 years
NIAID Data Ecosystem60
Supplementary Material for: Prediction Models for Early Childhood Obesity: Applicability and Existing Issues
Statistical models have been developed for the prediction or diagnosis of a wide range of outcomes. However, to our knowledge, only 7 published studies have reported models to specifically predict ove
NIAID Data Ecosystem40
WAIST-TO-HEIGHT RATIO INDEX OR THE PREDICTION OF OVERWEIGHT IN CHILDREN
ABSTRACT Objective: To identify a low-cost abdominal adiposity index that has a higher accuracy in predicting excess weight in children aged four to seven years old. Methods: A cross-sectional study w
Figshare2017-11-01 更新20
Dataset for acceptability of early childhood obesity prediction models to New Zealand families
Dataset for anonymous questionnaire regarding caregiver acceptance of early childhood obesity prediction. The questionnaire was distributed online via Qualtrics. Respondents were parents, caregivers,
NIAID Data Ecosystem60
Diagnostic accuracy at the age 10 of obesity prediction at age 5 using cut-off points at BMI values 16–20.
OR = odds ratio 95% CI = 95% confidence interval The variables in final inductive model extracted from the derivation cohort using stepwise logistic regression were BMI at age 5 and sex. Variables not
NIAID Data Ecosystem30



