Literature DB >> 34373470

Construction of China national newborn growth standards based on a large low-risk sample.

Xin-Nan Zong1, Hui Li2, Ya-Qin Zhang1, Hua-Hong Wu1, Geng-Li Zhao3.   

Abstract

Most published newborn growth references are based on conventional monitoring data that usually included both low- and high-risk pregnancies. We sought to develop a set of neonatal growth standards constructed from only a large sample of low-risk pregnancies. A total of 24,375 naturally conceived singleton live births with gestational ages of 24-42 weeks were collected in 69 hospitals in thirteen Chinese cities between 2015 and 2018. Unhealthy infants or those with high-risk mother were excluded. Smoothed percentile curves of six anthropometric indicators were established using the Generalized Additive Model for Location, Scale and Shape. The 3rd, 10th, 25th, 50th, 75th, 90th, and 97th percentile references for birth weight, length, head circumference, weight/length, body mass index, and ponderal index were calculated for neonates with gestational ages of 24-42 weeks. This set of neonatal growth standards with six anthropometric indicators can provide more tools for growth and nutrition assessment and body proportionality in neonatal clinical practice. These standards might also help to show the differences between growth curves based on low-risk and mixed low- and high-risk pregnancies.
© 2021. The Author(s).

Entities:  

Year:  2021        PMID: 34373470     DOI: 10.1038/s41598-021-94606-6

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  2 in total

1.  Establishing Postnatal Growth Monitoring Curves of Preterm Infants in China: Allowing for Continuous Use from 24 Weeks of Preterm Birth to 50 Weeks.

Authors:  Xin'nan Zong; Hui Li; Yaqin Zhang
Journal:  Nutrients       Date:  2022-05-27       Impact factor: 6.706

2.  Differences in Postnatal Growth of Preterm Infants in Northern China Compared to the INTERGROWTH-21st Preterm Postnatal Growth Standards: A Retrospective Cohort Study.

Authors:  Li Zhang; Nan-Nan Gao; Hui-Juan Liu; Qiong Wu; Ju Liu; Ting Zhang; Jin Sun; Jian-Hong Qi; Xiu-Yun Qiao; Yan Zhao; Yan Li
Journal:  Front Pediatr       Date:  2022-06-13       Impact factor: 3.569

  2 in total

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