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Assessment of cardiometabolic risk in children in population studies: underpinning developmental origins of health and disease mother–offspring cohort studies
Pregnancy and birth cohorts have been utilised extensively to investigate the developmental origins of health and disease, particularly in relation to understanding the aetiology of obesity and related cardiometabolic disorders. Birth and pregnancy cohorts have been utilised extensively to investiga...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4463019/ https://www.ncbi.nlm.nih.gov/pubmed/26090093 http://dx.doi.org/10.1017/jns.2014.69 |
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author | Huang, R.-C. Prescott, Susan L. Godfrey, Keith M. Davis, Elizabeth A. |
author_facet | Huang, R.-C. Prescott, Susan L. Godfrey, Keith M. Davis, Elizabeth A. |
author_sort | Huang, R.-C. |
collection | PubMed |
description | Pregnancy and birth cohorts have been utilised extensively to investigate the developmental origins of health and disease, particularly in relation to understanding the aetiology of obesity and related cardiometabolic disorders. Birth and pregnancy cohorts have been utilised extensively to investigate this area of research. The aim of the present review was twofold: first to outline the necessity of measuring cardiometabolic risk in children; and second to outline how it can be assessed. The major outcomes thought to have an important developmental component are CVD, insulin resistance and related metabolic outcomes. Conditions such as the metabolic syndrome, type 2 diabetes and CHD all tend to have peak prevalence in middle-aged and older individuals but assessments of cardiometabolic risk in childhood and adolescence are important to define early causal factors and characterise preventive measures. Typically, researchers investigating prospective cohort studies have relied on the thesis that cardiovascular risk factors, such as dyslipidaemia, hypertension and obesity, track from childhood into adult life. The present review summarises some of the evidence that these factors, when measured in childhood, may be of value in assessing the risk of adult cardiometabolic disease, and as such proceeds to describe some of the methods for assessing cardiometabolic risk in children. |
format | Online Article Text |
id | pubmed-4463019 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-44630192015-06-18 Assessment of cardiometabolic risk in children in population studies: underpinning developmental origins of health and disease mother–offspring cohort studies Huang, R.-C. Prescott, Susan L. Godfrey, Keith M. Davis, Elizabeth A. J Nutr Sci Review Article Pregnancy and birth cohorts have been utilised extensively to investigate the developmental origins of health and disease, particularly in relation to understanding the aetiology of obesity and related cardiometabolic disorders. Birth and pregnancy cohorts have been utilised extensively to investigate this area of research. The aim of the present review was twofold: first to outline the necessity of measuring cardiometabolic risk in children; and second to outline how it can be assessed. The major outcomes thought to have an important developmental component are CVD, insulin resistance and related metabolic outcomes. Conditions such as the metabolic syndrome, type 2 diabetes and CHD all tend to have peak prevalence in middle-aged and older individuals but assessments of cardiometabolic risk in childhood and adolescence are important to define early causal factors and characterise preventive measures. Typically, researchers investigating prospective cohort studies have relied on the thesis that cardiovascular risk factors, such as dyslipidaemia, hypertension and obesity, track from childhood into adult life. The present review summarises some of the evidence that these factors, when measured in childhood, may be of value in assessing the risk of adult cardiometabolic disease, and as such proceeds to describe some of the methods for assessing cardiometabolic risk in children. Cambridge University Press 2015-04-10 /pmc/articles/PMC4463019/ /pubmed/26090093 http://dx.doi.org/10.1017/jns.2014.69 Text en © The Author(s) 2015 The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution license <http://creativecommons.org/licenses/by/3.0/. |
spellingShingle | Review Article Huang, R.-C. Prescott, Susan L. Godfrey, Keith M. Davis, Elizabeth A. Assessment of cardiometabolic risk in children in population studies: underpinning developmental origins of health and disease mother–offspring cohort studies |
title | Assessment of cardiometabolic risk in children in population studies:
underpinning developmental origins of health and disease mother–offspring cohort studies |
title_full | Assessment of cardiometabolic risk in children in population studies:
underpinning developmental origins of health and disease mother–offspring cohort studies |
title_fullStr | Assessment of cardiometabolic risk in children in population studies:
underpinning developmental origins of health and disease mother–offspring cohort studies |
title_full_unstemmed | Assessment of cardiometabolic risk in children in population studies:
underpinning developmental origins of health and disease mother–offspring cohort studies |
title_short | Assessment of cardiometabolic risk in children in population studies:
underpinning developmental origins of health and disease mother–offspring cohort studies |
title_sort | assessment of cardiometabolic risk in children in population studies:
underpinning developmental origins of health and disease mother–offspring cohort studies |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4463019/ https://www.ncbi.nlm.nih.gov/pubmed/26090093 http://dx.doi.org/10.1017/jns.2014.69 |
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