Risk prediction of excessive gestational weight gain based on a nomogram model: a prospective observational study in China

The nomogram model developed in this study has a good degree of discrimination and calibration, providing a valuable basis for early identification and precise intervention in individuals at risk of excessive gestational weight gain.

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Institutions

Publication Details

Journal
The Journal of Maternal-Fetal & Neonatal Medicine
Published
2024-12-25
DOI
https://doi.org/10.1080/14767058.2024.2440774
Citations
1
Primary Topic
Gestational Diabetes Research and Management
Type
article
Field-Weighted Citation Impact
0.58

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article

Risk prediction of excessive gestational weight gain based on a nomogram model: a prospective observational study in China

Xihong Zhou, Linyan He, Jiajun Tang, Sai Liu et al.
1 citations
The Journal of Maternal-Fetal & Neonatal Medicine
Gestational Diabetes Research and Management
0.58
article

Risk prediction of excessive gestational weight gain based on a nomogram model: a prospective observational study in China

Xihong Zhou, Linyan He, Jiajun Tang, Sai Liu, Yao Min, Li Peng
article en
1 citations

Abstract

The nomogram model developed in this study has a good degree of discrimination and calibration, providing a valuable basis for early identification and precise intervention in individuals at risk of excessive gestational weight gain.

The Journal of Maternal-Fetal & Neonatal MedicineVol. 38(1)
Central South University (CN), Second Xiangya Hospital of Central South University (CN), Xiangya Hospital Central South University (CN)
Central South University, Natural Science Foundation of Hainan Province
Good health and well-being
Openalex Percentile: Top 25%
Gestational Diabetes Research and Management
0.58
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