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Predicting childhood overweight and obesity using maternal and early life risk factors: a systematic review
BACKGROUND: Childhood obesity is a serious public health challenge, and identification of high‐risk populations with early intervention to prevent its development is a priority. We aimed to systematically review prediction models for childhood overweight/obesity and critically assess the methodology...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805129/ https://www.ncbi.nlm.nih.gov/pubmed/29266702 http://dx.doi.org/10.1111/obr.12640 |
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author | Ziauddeen, N. Roderick, P. J. Macklon, N. S. Alwan, N. A. |
author_facet | Ziauddeen, N. Roderick, P. J. Macklon, N. S. Alwan, N. A. |
author_sort | Ziauddeen, N. |
collection | PubMed |
description | BACKGROUND: Childhood obesity is a serious public health challenge, and identification of high‐risk populations with early intervention to prevent its development is a priority. We aimed to systematically review prediction models for childhood overweight/obesity and critically assess the methodology of their development, validation and reporting. METHODS: Medline and Embase were searched systematically for studies describing the development and/or validation of a prediction model/score for overweight and obesity between 1 to 13 years of age. Data were extracted using the Cochrane CHARMS checklist for Prognosis Methods. RESULTS: Ten studies were identified that developed (one), developed and validated (seven) or externally validated an existing (two) prediction model. Six out of eight models were developed using automated variable selection methods. Two studies used multiple imputation to handle missing data. From all studies, 30,475 participants were included. Of 25 predictors, only seven were included in more than one model with maternal body mass index, birthweight and gender the most common. CONCLUSION: Several prediction models exist, but most have not been externally validated or compared with existing models to improve predictive performance. Methodological limitations in model development and validation combined with non‐standard reporting restrict the implementation of existing models for the prevention of childhood obesity. |
format | Online Article Text |
id | pubmed-5805129 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58051292018-02-27 Predicting childhood overweight and obesity using maternal and early life risk factors: a systematic review Ziauddeen, N. Roderick, P. J. Macklon, N. S. Alwan, N. A. Obes Rev Pediatric Obesity BACKGROUND: Childhood obesity is a serious public health challenge, and identification of high‐risk populations with early intervention to prevent its development is a priority. We aimed to systematically review prediction models for childhood overweight/obesity and critically assess the methodology of their development, validation and reporting. METHODS: Medline and Embase were searched systematically for studies describing the development and/or validation of a prediction model/score for overweight and obesity between 1 to 13 years of age. Data were extracted using the Cochrane CHARMS checklist for Prognosis Methods. RESULTS: Ten studies were identified that developed (one), developed and validated (seven) or externally validated an existing (two) prediction model. Six out of eight models were developed using automated variable selection methods. Two studies used multiple imputation to handle missing data. From all studies, 30,475 participants were included. Of 25 predictors, only seven were included in more than one model with maternal body mass index, birthweight and gender the most common. CONCLUSION: Several prediction models exist, but most have not been externally validated or compared with existing models to improve predictive performance. Methodological limitations in model development and validation combined with non‐standard reporting restrict the implementation of existing models for the prevention of childhood obesity. John Wiley and Sons Inc. 2017-12-19 2018-03 /pmc/articles/PMC5805129/ /pubmed/29266702 http://dx.doi.org/10.1111/obr.12640 Text en © 2017 The Authors. Obesity Reviews published by John Wiley & Sons Ltd on behalf of World Obesity Federation This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Pediatric Obesity Ziauddeen, N. Roderick, P. J. Macklon, N. S. Alwan, N. A. Predicting childhood overweight and obesity using maternal and early life risk factors: a systematic review |
title | Predicting childhood overweight and obesity using maternal and early life risk factors: a systematic review |
title_full | Predicting childhood overweight and obesity using maternal and early life risk factors: a systematic review |
title_fullStr | Predicting childhood overweight and obesity using maternal and early life risk factors: a systematic review |
title_full_unstemmed | Predicting childhood overweight and obesity using maternal and early life risk factors: a systematic review |
title_short | Predicting childhood overweight and obesity using maternal and early life risk factors: a systematic review |
title_sort | predicting childhood overweight and obesity using maternal and early life risk factors: a systematic review |
topic | Pediatric Obesity |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805129/ https://www.ncbi.nlm.nih.gov/pubmed/29266702 http://dx.doi.org/10.1111/obr.12640 |
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