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Association of low birth weight with thinness and severe obesity in children aged 3–12 years: a large-scale population-based cross-sectional study in Shanghai, China

OBJECTIVES: Low birth weight (BW) is a general symbol of inadequate intrauterine conditions that elicit abnormal fetal growth and development. The aim of current study is to investigate the relationship between low BW and thinness or severe obesity during maturation. DESIGN: A large-scale cross-sect...

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Autores principales: Chen, Chang, Jin, Zhijuan, Yang, You, Jiang, Fan, Huang, Hong, Liu, Shijian, Jin, Xingming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549709/
https://www.ncbi.nlm.nih.gov/pubmed/31152041
http://dx.doi.org/10.1136/bmjopen-2018-028738
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author Chen, Chang
Jin, Zhijuan
Yang, You
Jiang, Fan
Huang, Hong
Liu, Shijian
Jin, Xingming
author_facet Chen, Chang
Jin, Zhijuan
Yang, You
Jiang, Fan
Huang, Hong
Liu, Shijian
Jin, Xingming
author_sort Chen, Chang
collection PubMed
description OBJECTIVES: Low birth weight (BW) is a general symbol of inadequate intrauterine conditions that elicit abnormal fetal growth and development. The aim of current study is to investigate the relationship between low BW and thinness or severe obesity during maturation. DESIGN: A large-scale cross-sectional population-based survey. SETTING: 134 kindergartens and 70 elementary schools. PARTICIPANTS: 70 284 Chinese children aged 3–12 years. OUTCOME MEASURES: International Obesity Task Force body mass index (BMI) cut-offs were used to define grade 1, grade 2 and grade 3 thinness, overweight, obesity and severe obesity. Multinomial logistic regression was used to estimate the association between BW and BMI category. RESULTS: A total of 70 284 children participated in the survey. The percentage of grade 1 thinness and severe obesity in children with low BW is significantly higher than that in children with normal BW (p<0.05). Low BW was associated with an increased risk of grade 1 thinness (OR 1.56, 95% CI 1.38 to 1.75), grade 2 thinness (OR 1.34, 95% CI 1.10 to 1.64), grade 3 thinness (OR 1.99, 95% CI 1.63 to 2.42) and severe obesity (OR 1.27, 95% CI 1.03 to 1.55) but was not associated with obesity (OR 0.85, 95% CI 0.67 to 1.06). CONCLUSION: There is a positive association between low BW and thinness or severe obesity risk.
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spelling pubmed-65497092019-06-21 Association of low birth weight with thinness and severe obesity in children aged 3–12 years: a large-scale population-based cross-sectional study in Shanghai, China Chen, Chang Jin, Zhijuan Yang, You Jiang, Fan Huang, Hong Liu, Shijian Jin, Xingming BMJ Open Epidemiology OBJECTIVES: Low birth weight (BW) is a general symbol of inadequate intrauterine conditions that elicit abnormal fetal growth and development. The aim of current study is to investigate the relationship between low BW and thinness or severe obesity during maturation. DESIGN: A large-scale cross-sectional population-based survey. SETTING: 134 kindergartens and 70 elementary schools. PARTICIPANTS: 70 284 Chinese children aged 3–12 years. OUTCOME MEASURES: International Obesity Task Force body mass index (BMI) cut-offs were used to define grade 1, grade 2 and grade 3 thinness, overweight, obesity and severe obesity. Multinomial logistic regression was used to estimate the association between BW and BMI category. RESULTS: A total of 70 284 children participated in the survey. The percentage of grade 1 thinness and severe obesity in children with low BW is significantly higher than that in children with normal BW (p<0.05). Low BW was associated with an increased risk of grade 1 thinness (OR 1.56, 95% CI 1.38 to 1.75), grade 2 thinness (OR 1.34, 95% CI 1.10 to 1.64), grade 3 thinness (OR 1.99, 95% CI 1.63 to 2.42) and severe obesity (OR 1.27, 95% CI 1.03 to 1.55) but was not associated with obesity (OR 0.85, 95% CI 0.67 to 1.06). CONCLUSION: There is a positive association between low BW and thinness or severe obesity risk. BMJ Publishing Group 2019-05-30 /pmc/articles/PMC6549709/ /pubmed/31152041 http://dx.doi.org/10.1136/bmjopen-2018-028738 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Epidemiology
Chen, Chang
Jin, Zhijuan
Yang, You
Jiang, Fan
Huang, Hong
Liu, Shijian
Jin, Xingming
Association of low birth weight with thinness and severe obesity in children aged 3–12 years: a large-scale population-based cross-sectional study in Shanghai, China
title Association of low birth weight with thinness and severe obesity in children aged 3–12 years: a large-scale population-based cross-sectional study in Shanghai, China
title_full Association of low birth weight with thinness and severe obesity in children aged 3–12 years: a large-scale population-based cross-sectional study in Shanghai, China
title_fullStr Association of low birth weight with thinness and severe obesity in children aged 3–12 years: a large-scale population-based cross-sectional study in Shanghai, China
title_full_unstemmed Association of low birth weight with thinness and severe obesity in children aged 3–12 years: a large-scale population-based cross-sectional study in Shanghai, China
title_short Association of low birth weight with thinness and severe obesity in children aged 3–12 years: a large-scale population-based cross-sectional study in Shanghai, China
title_sort association of low birth weight with thinness and severe obesity in children aged 3–12 years: a large-scale population-based cross-sectional study in shanghai, china
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549709/
https://www.ncbi.nlm.nih.gov/pubmed/31152041
http://dx.doi.org/10.1136/bmjopen-2018-028738
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