Literature DB >> 22177581

Identifying infants at risk of becoming obese: can we and should we?

R S Levine1, D L Dahly, M C J Rudolf.   

Abstract

OBJECTIVES: Increased understanding of the risk factors for childhood obesity has raised the possibility of identifying infants who are at risk of becoming overweight or obese, enabling early intervention for infants at high risk. This paper considers the known risk factors, describes statistical work aimed at identifying risk, and considers the ethical and practical issues of such a development. STUDY DESIGN AND METHODS: An overview of the published evidence for risk factors in the early development of overweight and obesity, and a statistical assessment of the practicality of developing a simple obesity risk assessment tool (ORT) for use in the primary care setting.
RESULTS: Analysis of data from two currently available UK birth cohort studies suggests that an ORT based on these data does not provide acceptable levels of specificity and sensitivity for use in a primary care setting.
CONCLUSION: Further development of an ORT using additional data and enhanced statistical analysis may lead to a practical tool. However the practical, ethical and legal issues involved in its use, and the public health policy considerations that follow must be resolved.
Copyright © 2011 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22177581     DOI: 10.1016/j.puhe.2011.10.008

Source DB:  PubMed          Journal:  Public Health        ISSN: 0033-3506            Impact factor:   2.427


  5 in total

1.  Obesity Prediction with EHR Data: A deep learning approach with interpretable elements.

Authors:  Mehak Gupta; Thao-Ly T Phan; H Timothy Bunnell; Rahmatollah Beheshti
Journal:  ACM Trans Comput Healthc       Date:  2022-04-07

2.  A Risk Score for Childhood Obesity in an Urban Latino Cohort.

Authors:  Jacob O Robson; Sofia G Verstraete; Stephen Shiboski; Melvin B Heyman; Janet M Wojcicki
Journal:  J Pediatr       Date:  2016-03-04       Impact factor: 4.406

3.  Dynamic prediction model to identify young children at high risk of future overweight: Development and internal validation in a cohort study.

Authors:  Marieke Welten; Alet H Wijga; Marleen Hamoen; Ulrike Gehring; Gerard H Koppelman; Jos W R Twisk; Hein Raat; Martijn W Heymans; Marlou L A de Kroon
Journal:  Pediatr Obes       Date:  2020-05-13       Impact factor: 4.000

Review 4.  Systematic review and meta-analyses of risk factors for childhood overweight identifiable during infancy.

Authors:  Stephen Franklin Weng; Sarah A Redsell; Judy A Swift; Min Yang; Cristine P Glazebrook
Journal:  Arch Dis Child       Date:  2012-10-29       Impact factor: 3.791

5.  "I would rather be told than not know" - A qualitative study exploring parental views on identifying the future risk of childhood overweight and obesity during infancy.

Authors:  Faye Bentley; Judy Anne Swift; Rachel Cook; Sarah A Redsell
Journal:  BMC Public Health       Date:  2017-08-29       Impact factor: 3.295

  5 in total

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