Wei Perng1,2, Jonggyu Baek3, Christina W Zhou3, Alejandra Cantoral4,5, Maria Martha Tellez-Rojo4, Peter X K Song3, Karen E Peterson1. 1. a Department of Nutritional Sciences , University of Michigan School of Public Health , Ann Arbor , MI , USA. 2. b Department of Epidemiology , University of Michigan School of Public Health , Ann Arbor , MI , USA. 3. c Department of Biostatistics , University of Michigan School of Public Health , Ann Arbor , MI , USA. 4. d Center for Nutrition and Health Research , National Institute of Public Health , Mexico City , Mexico. 5. e CONACYT, National Institute of Public Health , Center for Research on Nutrition and Health , Mexico City , Mexico.
Abstract
BACKGROUND: Early-life growth dynamics are associated with future health. Little is known regarding timing and magnitude of the infancy body mass index (BMI) peak with adiposity and metabolic biomarkers during adolescence. AIM: To examine associations of the infancy BMI peak with anthropometry and cardiometabolic risk during peripuberty. METHODS: Among 163 ELEMENT participants, this study estimated age and magnitude of the infancy BMI peak from eight anthropometric measurements from birth-36 months using Newton's Growth Models, an acceleration-based process model. Associations were examined of the infancy milestones with anthropometry and cardiometabolic risk at 8-14 years using linear regression models that accounted for maternal calcium supplementation and age; child's birthweight, sex, and age; and the other infancy milestone. RESULTS: Median age at the infancy BMI peak was 9.6 months, and median peak BMI was 16.5 kg/m2. Later age and larger magnitude of the peak predicted higher BMI z-score, waist circumference, and skinfold thicknesses; i.e. each 1 month of age at peak and each 1 kg/m2 of peak BMI corresponded with 0.04 (0.01-0.07) and 0.33 (0.17-0.48) units of higher BMI z-score, respectively. Later age at peak was also a determinant of worse glycaemia and higher blood pressure. CONCLUSION: Later age and larger magnitude of the infancy BMI peak are associated with higher adiposity at 8-14 years of age. Later age but not magnitude of the BMI peak are related to a worse cardiometabolic profile during peripuberty.
BACKGROUND: Early-life growth dynamics are associated with future health. Little is known regarding timing and magnitude of the infancy body mass index (BMI) peak with adiposity and metabolic biomarkers during adolescence. AIM: To examine associations of the infancy BMI peak with anthropometry and cardiometabolic risk during peripuberty. METHODS: Among 163 ELEMENT participants, this study estimated age and magnitude of the infancy BMI peak from eight anthropometric measurements from birth-36 months using Newton's Growth Models, an acceleration-based process model. Associations were examined of the infancy milestones with anthropometry and cardiometabolic risk at 8-14 years using linear regression models that accounted for maternal calcium supplementation and age; child's birthweight, sex, and age; and the other infancy milestone. RESULTS: Median age at the infancy BMI peak was 9.6 months, and median peak BMI was 16.5 kg/m2. Later age and larger magnitude of the peak predicted higher BMI z-score, waist circumference, and skinfold thicknesses; i.e. each 1 month of age at peak and each 1 kg/m2 of peak BMI corresponded with 0.04 (0.01-0.07) and 0.33 (0.17-0.48) units of higher BMI z-score, respectively. Later age at peak was also a determinant of worse glycaemia and higher blood pressure. CONCLUSION: Later age and larger magnitude of the infancy BMI peak are associated with higher adiposity at 8-14 years of age. Later age but not magnitude of the BMI peak are related to a worse cardiometabolic profile during peripuberty.
Authors: Martha María Téllez-Rojo; Mauricio Hernández-Avila; Héctor Lamadrid-Figueroa; Donald Smith; Leticia Hernández-Cadena; Adriana Mercado; Antonio Aro; Joel Schwartz; Howard Hu Journal: Am J Epidemiol Date: 2004-10-01 Impact factor: 4.897
Authors: Mauricio Hernandez-Avila; Teresa Gonzalez-Cossio; Juan E Hernandez-Avila; Isabelle Romieu; Karen E Peterson; Antonio Aro; Eduardo Palazuelos; Howard Hu Journal: Epidemiology Date: 2003-03 Impact factor: 4.822
Authors: Santosh K Bhargava; Harshpal Singh Sachdev; Caroline H D Fall; Clive Osmond; Ramakrishnan Lakshmy; David J P Barker; Sushant K Dey Biswas; Siddharth Ramji; Dorairaj Prabhakaran; Kolli Srinath Reddy Journal: N Engl J Med Date: 2004-02-26 Impact factor: 91.245
Authors: Wei Perng; Marcela Tamayo-Ortiz; Lu Tang; Brisa N Sánchez; Alejandra Cantoral; John D Meeker; Dana C Dolinoy; Elizabeth F Roberts; Esperanza Angeles Martinez-Mier; Hector Lamadrid-Figueroa; Peter X K Song; Adrienne S Ettinger; Robert Wright; Manish Arora; Lourdes Schnaas; Deborah J Watkins; Jaclyn M Goodrich; Robin C Garcia; Maritsa Solano-Gonzalez; Luis F Bautista-Arredondo; Adriana Mercado-Garcia; Howard Hu; Mauricio Hernandez-Avila; Martha Maria Tellez-Rojo; Karen E Peterson Journal: BMJ Open Date: 2019-08-26 Impact factor: 2.692