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Developmental origins of health and disease: a new approach for the identification of adults who suffered undernutrition in early life
BACKGROUND: Undernutrition in early life (UELife) is a condition associated with greater occurrence of chronic diseases in adulthood. Some studies on this relationship have used short stature as indicator of UELife. However, other non-nutritional factors can also determine short stature. Depending o...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163011/ https://www.ncbi.nlm.nih.gov/pubmed/30288074 http://dx.doi.org/10.2147/DMSO.S177486 |
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author | Ferreira, Haroldo da Silva Junior, Antonio Fernando Silva Xavier Assunção, Monica Lopes Uchôa, Tainá Cardoso Caminha Lira-Neto, Abel Barbosa Nakano, Ricardo Paulino |
author_facet | Ferreira, Haroldo da Silva Junior, Antonio Fernando Silva Xavier Assunção, Monica Lopes Uchôa, Tainá Cardoso Caminha Lira-Neto, Abel Barbosa Nakano, Ricardo Paulino |
author_sort | Ferreira, Haroldo da Silva |
collection | PubMed |
description | BACKGROUND: Undernutrition in early life (UELife) is a condition associated with greater occurrence of chronic diseases in adulthood. Some studies on this relationship have used short stature as indicator of UELife. However, other non-nutritional factors can also determine short stature. Depending on the severity of UELife, the human body reacts primarily compromising weight and length gain, but prioritizing brain growth, resulting in disproportionate individuals. Based on this premise, this study aimed to validate a new anthropometric indicator of UELife. DESIGN: Using stature and head circumference data from a probabilistic sample of 3,109 women, the Head-to-Height Index was calculated: HHI = (head × 2.898)/height. A HHI >1.028 (75th percentile) was the best cutoff for predicting obesity (best balance between sensitivity/ specificity, largest area under the receiver operating characteristic curve, and highest correlation coefficient) and was used to define the condition of body disproportionality. The strength of associations with several outcomes was tested for both disproportionality and short stature (height ≤25th percentile: 153.1 cm). RESULTS: In adjusted analysis for confounding factors (age, smoking, and education level), the strength of the associations between body disproportionality and the analyzed outcomes was greater than that observed when short stature was used. Respectively, the observed prevalence ratios (95% CI) were (P<0.05 for all comparisons): obesity: 2.61 (2.17–3.15) vs 1.09 (0.92–1.28); abdominal obesity: 2.11 (1.86–2.40) vs 1.42 (1.27– 1.59); high blood pressure: 1.24 (1.02–1.50) vs 0.90 (0.75–1.08); hypercholesterolemia: 2.98 (1.47–6.05) vs 1.65 (0.91–2.99); and hypertriglyceridemia: 1.47 (1.07–2.03) vs 0.91 (0.69–1.21). CONCLUSION: Body disproportionality is a more accurate indicator of UELife than short stature. While short stature may be genetically determined, a high HHI is due to metabolic adaptations to undernutrition in early life. |
format | Online Article Text |
id | pubmed-6163011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-61630112018-10-04 Developmental origins of health and disease: a new approach for the identification of adults who suffered undernutrition in early life Ferreira, Haroldo da Silva Junior, Antonio Fernando Silva Xavier Assunção, Monica Lopes Uchôa, Tainá Cardoso Caminha Lira-Neto, Abel Barbosa Nakano, Ricardo Paulino Diabetes Metab Syndr Obes Original Research BACKGROUND: Undernutrition in early life (UELife) is a condition associated with greater occurrence of chronic diseases in adulthood. Some studies on this relationship have used short stature as indicator of UELife. However, other non-nutritional factors can also determine short stature. Depending on the severity of UELife, the human body reacts primarily compromising weight and length gain, but prioritizing brain growth, resulting in disproportionate individuals. Based on this premise, this study aimed to validate a new anthropometric indicator of UELife. DESIGN: Using stature and head circumference data from a probabilistic sample of 3,109 women, the Head-to-Height Index was calculated: HHI = (head × 2.898)/height. A HHI >1.028 (75th percentile) was the best cutoff for predicting obesity (best balance between sensitivity/ specificity, largest area under the receiver operating characteristic curve, and highest correlation coefficient) and was used to define the condition of body disproportionality. The strength of associations with several outcomes was tested for both disproportionality and short stature (height ≤25th percentile: 153.1 cm). RESULTS: In adjusted analysis for confounding factors (age, smoking, and education level), the strength of the associations between body disproportionality and the analyzed outcomes was greater than that observed when short stature was used. Respectively, the observed prevalence ratios (95% CI) were (P<0.05 for all comparisons): obesity: 2.61 (2.17–3.15) vs 1.09 (0.92–1.28); abdominal obesity: 2.11 (1.86–2.40) vs 1.42 (1.27– 1.59); high blood pressure: 1.24 (1.02–1.50) vs 0.90 (0.75–1.08); hypercholesterolemia: 2.98 (1.47–6.05) vs 1.65 (0.91–2.99); and hypertriglyceridemia: 1.47 (1.07–2.03) vs 0.91 (0.69–1.21). CONCLUSION: Body disproportionality is a more accurate indicator of UELife than short stature. While short stature may be genetically determined, a high HHI is due to metabolic adaptations to undernutrition in early life. Dove Medical Press 2018-09-26 /pmc/articles/PMC6163011/ /pubmed/30288074 http://dx.doi.org/10.2147/DMSO.S177486 Text en © 2018 Ferreira et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Ferreira, Haroldo da Silva Junior, Antonio Fernando Silva Xavier Assunção, Monica Lopes Uchôa, Tainá Cardoso Caminha Lira-Neto, Abel Barbosa Nakano, Ricardo Paulino Developmental origins of health and disease: a new approach for the identification of adults who suffered undernutrition in early life |
title | Developmental origins of health and disease: a new approach for the identification of adults who suffered undernutrition in early life |
title_full | Developmental origins of health and disease: a new approach for the identification of adults who suffered undernutrition in early life |
title_fullStr | Developmental origins of health and disease: a new approach for the identification of adults who suffered undernutrition in early life |
title_full_unstemmed | Developmental origins of health and disease: a new approach for the identification of adults who suffered undernutrition in early life |
title_short | Developmental origins of health and disease: a new approach for the identification of adults who suffered undernutrition in early life |
title_sort | developmental origins of health and disease: a new approach for the identification of adults who suffered undernutrition in early life |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163011/ https://www.ncbi.nlm.nih.gov/pubmed/30288074 http://dx.doi.org/10.2147/DMSO.S177486 |
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