Potential Selection Effects when Estimating Associations Between the Infancy Peak or Adiposity Rebound and Later Body Mass Index in Children

Autor: Dénes Molnár, A. De Decker, Iris Pigeot, L. A. Moreno, Wolfgang Ahrens, Lucia A. Reisch, Claudia Börnhorst, Michael Tornaritis, Susann Regber, Alfonso Siani, Lauren Lissner
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Male
Pediatric Obesity
Endocrinology
Diabetes and Metabolism
Medicine (miscellaneous)
Overweight
Weight Gain
Body Mass Index
Cohort Studies
0302 clinical medicine
Child Development
Risk Factors
Odds Ratio
030212 general & internal medicine
Prospective cohort study
Child
Adiposity
Nutrition and Dietetics
Europe
Child
Preschool
Female
medicine.symptom
Child Nutritional Physiological Phenomena
Cohort study
medicine.medical_specialty
Nutritional Status
030209 endocrinology & metabolism
Childhood obesity
03 medical and health sciences
Age Distribution
children
adiposity rebound
Classification of obesity
Internal medicine
medicine
Humans
Life Style
Epidemiology
Obesity
Paediatric research
Body mass index
Risk factors
business.industry
Infant
Newborn
Infant
nutritional and metabolic diseases
Odds ratio
medicine.disease
Diet
Endocrinology
IDEFICS
business
Energy Intake
Weight gain
Demography
Zdroj: International journal of obesity, 41:518-526
International journal of obesity 41 (2017): 518–526. doi:10.1038/ijo.2016.218
info:cnr-pdr/source/autori:Boernhorst, C.; Siani, A.; Tornaritis, M.; Molnar, D.; Lissner, L.; Regber, S.; Reisch, L.; De Decker, A.; Moreno, L. A.; Ahrens, W.; Pigeot, I./titolo:Potential selection effects when estimating associations between the infancy peak or adiposity rebound and later body mass index in children/doi:10.1038%2Fijo.2016.218/rivista:International journal of obesity/anno:2017/pagina_da:518/pagina_a:526/intervallo_pagine:518–526/volume:41
ISSN: 1476-5497
0307-0565
Popis: INTRODUCTION: This study aims to evaluate a potential selection effect caused by exclusion of children with non-identifiable infancy peak (IP) and adiposity rebound (AR) when estimating associations between age and body mass index (BMI) at IP and AR and later weight status. SUBJECTS AND METHODS: In 4744 children with at least 4 repeated measurements of height and weight in the age interval from 0 to 8 years (37 998 measurements) participating in the IDEFICS (Identification and Prevention of Dietary- and Lifestyle-Induced Health Effects in Children and Infants)/I.Family cohort study, fractional polynomial multilevel models were used to derive individual BMI trajectories. Based on these trajectories, age and BMI at IP and AR, BMI values and growth velocities at selected ages as well as the area under the BMI curve were estimated. The BMI growth measures were standardized and related to later BMI z-scores (mean age at outcome assessment: 9.2 years). RESULTS: Age and BMI at IP and AR were not identifiable in 5.4% and 7.8% of the children, respectively. These groups of children showed a significantly higher BMI growth during infancy and childhood. In the remaining sample, BMI at IP correlated almost perfectly (r?0.99) with BMI at ages 0.5, 1 and 1.5 years, whereas BMI at AR correlated perfectly with BMI at ages 4-6 years (r?0.98). In the total study group, BMI values in infancy and childhood were positively associated with later BMI z-scores where associations increased with age. Associations between BMI velocities and later BMI z-scores were largest at ages 5 and 6 years. Results differed for children with non-identifiable IP and AR, demonstrating a selection effect. CONCLUSIONS: IP and AR may not be estimable in children with higher-than-average BMI growth. Excluding these children from analyses may result in a selection bias that distorts effect estimates. BMI values at ages 1 and 5 years might be more appropriate to use as predictors for later weight status instead.
Databáze: OpenAIRE
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