منابع مشابه
Mendelian Randomisation Study of Childhood BMI and Early Menarche
To infer the causal association between childhood BMI and age at menarche, we performed a mendelian randomisation analysis using twelve established "BMI-increasing" genetic variants as an instrumental variable (IV) for higher BMI. In 8,156 women of European descent from the EPIC-Norfolk cohort, height was measured at age 39-77 years; age at menarche was self-recalled, as was body weight at age ...
متن کاملThe interaction of childhood height and childhood BMI in the prediction of young adult BMI.
The purpose of this study was to examine the interaction of childhood height and childhood BMI in the prediction of young adult BMI. The 2,802 subjects in this study were from the Child and Adolescent Trial for Cardiovascular Health (CATCH). The subjects' heights and weights were measured in 3rd grade (mean age 8.7 years) and again in 12th grade (mean age 18.3 years). The associations and inter...
متن کاملInfant BMI or Weight-for-Length and Obesity Risk in Early Childhood.
BACKGROUND Weight-for-length (WFL) is currently used to assess adiposity under 2 years. We assessed WFL- versus BMI-based estimates of adiposity in healthy infants in determining risk for early obesity. METHODS Anthropometrics were extracted from electronic medical records for well-child visits for 73 949 full-term infants from a large pediatric network. World Health Organization WFL and BMI ...
متن کاملBody Size Estimation from Early to Middle Childhood: Stability of Underestimation, BMI, and Gender Effects
Individuals who are overweight are more likely to underestimate their body size than those who are normal weight, and overweight underestimators are less likely to engage in weight loss efforts. Underestimation of body size might represent a barrier to prevention and treatment of overweight; thus insight in how underestimation of body size develops and tracks through the childhood years is need...
متن کاملAlternative regression models to assess increase in childhood BMI
BACKGROUND Body mass index (BMI) data usually have skewed distributions, for which common statistical modeling approaches such as simple linear or logistic regression have limitations. METHODS Different regression approaches to predict childhood BMI by goodness-of-fit measures and means of interpretation were compared including generalized linear models (GLMs), quantile regression and General...
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ژورنال
عنوان ژورنال: The Journal of Pediatrics
سال: 2018
ISSN: 0022-3476
DOI: 10.1016/j.jpeds.2018.09.016