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Insights into infancy weight gain patterns for term small-for-gestational-age babies

BACKGROUND: Too fast or slow weight gain in infancy is bad for health in later life. In this study, we aim to investigate the optimal weight gain pattern during the first 2 y of life for term small-for-gestational-age (SGA) infants. METHOD: We employed data from a longitudinal, community-based cohor...

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Autores principales: Shi, Huiqing, Yang, Xiaodong, Wu, Dan, Wang, Xiulian, Li, Tingting, Liu, Honghua, Guo, Chong, Wang, Jian, Hu, Xiangying, Yu, Guangjun, Chen, Jinjin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6206641/
https://www.ncbi.nlm.nih.gov/pubmed/30373572
http://dx.doi.org/10.1186/s12937-018-0397-z
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author Shi, Huiqing
Yang, Xiaodong
Wu, Dan
Wang, Xiulian
Li, Tingting
Liu, Honghua
Guo, Chong
Wang, Jian
Hu, Xiangying
Yu, Guangjun
Chen, Jinjin
author_facet Shi, Huiqing
Yang, Xiaodong
Wu, Dan
Wang, Xiulian
Li, Tingting
Liu, Honghua
Guo, Chong
Wang, Jian
Hu, Xiangying
Yu, Guangjun
Chen, Jinjin
author_sort Shi, Huiqing
collection PubMed
description BACKGROUND: Too fast or slow weight gain in infancy is bad for health in later life. In this study, we aim to investigate the optimal weight gain pattern during the first 2 y of life for term small-for-gestational-age (SGA) infants. METHOD: We employed data from a longitudinal, community-based cohort study on the growth and development of SGAs collected between 2004 and 2010 in Shanghai, China. Latent class growth analysis (LCGA) was applied to identify weight gain patterns among 3004 SGAs. BMI curves for each latent class from 1 mo to 5 y were produced through mixed-effects regression analysis. Multivariable regression was performed to examine the association between various classes and adverse outcomes (overweight/obesity/ malnutrition) during 2–5 y. RESULT: Five weight gain patterns aged 0–2 y of 3004 term SGAs were identified and labeled as follows--class 1: excessively rapid catch-up growth (10.7%); class 2: rapid catch-up growth (19.7%); class 3: appropriate catch-up growth (55.7%); class 4: slow catch-up growth (10.2%); class 5: almost no catch-up growth (3.7%). A decreasing age at adiposity rebound (AR) and an increasing BMI value were observed from class 5 to 1. Class 1 and 2 showed an early appearance of AR (< 4 y). SGAs in class 1 and 2 had a higher BMI in 2–5 y of life. After adjustment for potential confounding variables, class 1 and 2 were found to have an increased risk of being overweight/ obese. At the same time, we found the risk of malnutrition was especially prominent among SGAs in classes 4 and 5. CONCLUSION: Our results suggest that for term SGA infants, catch-up growth that crossing two centile levels, that is, from < 10th to the interval between 25th and 50th (ΔWAZ> 1.28) in the first several months, along with on track growth and maintenance at a median level by age 2 may be the optimal catch-up growth trajectory, minimizing risk of childhood adverse health outcomes.
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spelling pubmed-62066412018-10-31 Insights into infancy weight gain patterns for term small-for-gestational-age babies Shi, Huiqing Yang, Xiaodong Wu, Dan Wang, Xiulian Li, Tingting Liu, Honghua Guo, Chong Wang, Jian Hu, Xiangying Yu, Guangjun Chen, Jinjin Nutr J Research BACKGROUND: Too fast or slow weight gain in infancy is bad for health in later life. In this study, we aim to investigate the optimal weight gain pattern during the first 2 y of life for term small-for-gestational-age (SGA) infants. METHOD: We employed data from a longitudinal, community-based cohort study on the growth and development of SGAs collected between 2004 and 2010 in Shanghai, China. Latent class growth analysis (LCGA) was applied to identify weight gain patterns among 3004 SGAs. BMI curves for each latent class from 1 mo to 5 y were produced through mixed-effects regression analysis. Multivariable regression was performed to examine the association between various classes and adverse outcomes (overweight/obesity/ malnutrition) during 2–5 y. RESULT: Five weight gain patterns aged 0–2 y of 3004 term SGAs were identified and labeled as follows--class 1: excessively rapid catch-up growth (10.7%); class 2: rapid catch-up growth (19.7%); class 3: appropriate catch-up growth (55.7%); class 4: slow catch-up growth (10.2%); class 5: almost no catch-up growth (3.7%). A decreasing age at adiposity rebound (AR) and an increasing BMI value were observed from class 5 to 1. Class 1 and 2 showed an early appearance of AR (< 4 y). SGAs in class 1 and 2 had a higher BMI in 2–5 y of life. After adjustment for potential confounding variables, class 1 and 2 were found to have an increased risk of being overweight/ obese. At the same time, we found the risk of malnutrition was especially prominent among SGAs in classes 4 and 5. CONCLUSION: Our results suggest that for term SGA infants, catch-up growth that crossing two centile levels, that is, from < 10th to the interval between 25th and 50th (ΔWAZ> 1.28) in the first several months, along with on track growth and maintenance at a median level by age 2 may be the optimal catch-up growth trajectory, minimizing risk of childhood adverse health outcomes. BioMed Central 2018-10-29 /pmc/articles/PMC6206641/ /pubmed/30373572 http://dx.doi.org/10.1186/s12937-018-0397-z Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Shi, Huiqing
Yang, Xiaodong
Wu, Dan
Wang, Xiulian
Li, Tingting
Liu, Honghua
Guo, Chong
Wang, Jian
Hu, Xiangying
Yu, Guangjun
Chen, Jinjin
Insights into infancy weight gain patterns for term small-for-gestational-age babies
title Insights into infancy weight gain patterns for term small-for-gestational-age babies
title_full Insights into infancy weight gain patterns for term small-for-gestational-age babies
title_fullStr Insights into infancy weight gain patterns for term small-for-gestational-age babies
title_full_unstemmed Insights into infancy weight gain patterns for term small-for-gestational-age babies
title_short Insights into infancy weight gain patterns for term small-for-gestational-age babies
title_sort insights into infancy weight gain patterns for term small-for-gestational-age babies
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6206641/
https://www.ncbi.nlm.nih.gov/pubmed/30373572
http://dx.doi.org/10.1186/s12937-018-0397-z
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