Xu L, Sheng XJ, Gu LP, Yang ZM, Feng ZT, Gu DF, Gao L. Influence of perinatal factors on full-term low-birth-weight infants and construction of a predictive model. World J Clin Cases 2024; 12(26): 5901-5907 [PMID: 39286375 DOI: 10.12998/wjcc.v12.i26.5901]
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is 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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Liang Xu, Li Gao, Department of Neonatology, Suzhou Ninth People's Hospital, Suzhou 215200, Jiangsu Province, China
Xue-Juan Sheng, Lian-Ping Gu, Department of Obstetrics, Suzhou Ninth People's Hospital, Suzhou 215200, Jiangsu Province, China
Zu-Ming Yang, Zong-Tai Feng, Dan-Feng Gu, Department of Neonatology, Suzhou Municipal Hospital, Suzhou 215008, Jiangsu Province, China
Author contributions: Xu L and Sheng XJ designed the study and wrote the manuscript; Xu L designed the study and provided clinical data; Xu L, Sheng XJ, Gu LP, Yang ZM, Feng ZT, Gu DF, and Gao L contributed to the data analysis; Xu L and Sheng XJ reviewed the research; all authors approved this research.
Institutional review board statement: The study was reviewed and approved by the Ethics Committee of Suzhou Ninth People's Hospital.
Informed consent statement: The study was reviewed and approved by the Ethics Committee of Suzhou Ninth People's Hospital approved the exemption for informed consent.
Conflict-of-interest statement: The authors declare no conflicts of interest.
Data sharing statement: The data used in this study can be obtained from the corresponding author upon request.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (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 and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Received: May 16, 2024 Revised: July 9, 2024 Accepted: July 12, 2024 Published online: September 16, 2024 Processing time: 67 Days and 18 Hours
Core Tip
Core Tip: Being too light at birth can increase the risk of various diseases during infancy. While premature birth is a significant factor causing low-birth-weight (LBW) infants, it involves many uncontrollable factors. Our research innovation lies in excluding premature infants and analyzing only the factors influencing LBW in full-term infants, thereby revealing the impact of other characteristics on LBW. We discovered that full-term LBW is related to maternal education level, frequency of prenatal examinations, weight gain during pregnancy, calcium supplementation during pregnancy, and factors associated with preeclampsia. Based on these findings, we constructed a risk prediction model that can effectively predict the risk of full-term LBW.
