Evidence map›Paper›PMID 42427194›Full record

ArticleJournal of global health2026

Association between high maternal haemoglobin levels in the first trimester and gestational diabetes mellitus: a prospective birth cohort study.

Wei Li, Juan Yang, Haibo Li, Bin Sun, Zhengqin Wu, Haiyan Gao, Wenjuan Liu, Libo Xu, Yibing Zhu

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Article in Journal of global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Wei Li *Fujian Obstetrics and Gynecology Hospital, Fuzhou, China.
Juan Yang *Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Haibo LiFujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Bin SunFujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Zhengqin WuFujian Obstetrics and Gynecology Hospital, Fuzhou, China.
Haiyan GaoFujian Obstetrics and Gynecology Hospital, Fuzhou, China.
Wenjuan LiuFujian Children's Hospital, Fuzhou, China.
Libo Xu *Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Yibing Zhu *Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recent studies suggest first-trimester maternal haemoglobin (Hb) may be linked to gestational diabetes mellitus (GDM), but evidence remains limited. This study examined the association between high first-trimester haemoglobin and GDM risk. Methods: This prospective study included 18 484 singleton pregnant women with a gestational age of ≤14 weeks in the Fujian Birth Cohort Study. Haemoglobin of the first trimester is divided into low (<110 g/L), normal (110-130 g/L) and high (≥130 g/L). Multivariate logistic regression and restricted cubic spline (RCS) models were used to explore the association between Hb level and GDM risk, and to gradually adjust sociodemographics, lifestyle and metabolic factors. Stratified and combined analysis was performed according to maternal age, pre-pregnancy body mass index and mode of conception. Results: Mean early Hb was 127.3 ± 9.6 g/L. The crude GDM incidence was 17.7%, 19.6%, and 25.3% in the low, normal, and high Hb groups, respectively. High Hb was significantly associated with increased GDM risk in crude (odds ratio (OR) = 1.40; 95% confidence interval (CI) = 1.30-1.50, P < 0.001), Model 2 (OR = 1.31; 95% CI = 1.22-1.41, P < 0.001), and Model 3 (OR = 1.24; 95% CI = 1.15-1.34, P < 0.001), with only 5.3% attenuation after adjusting for metabolic markers. Restricted cubic spline analyses showed a linear positive dose-response relationship between Hb and GDM risk (P for nonlinearity = 0.274). The association was stronger in non-advanced maternal age (non-AMA), overweight/obese, and spontaneously conceiving women, and combined effects were observed for high Hb with AMA, overweight/obesity, and assisted reproductive technology (ART). Conclusions: Early pregnancy haemoglobin is significantly associated with GDM risk, modified by age, pre-pregnancy BMI, and conception mode. Haemoglobin screening in early pregnancy may help identify high-risk women. Further studies are needed to clarify related mechanisms and evaluate interventions.

Indexed as

Diabetes, GestationalHemoglobinsPregnancy Trimester, FirstAdultBirth CohortChinaFemaleHumansPregnancyProspective StudiesRisk FactorsHemoglobinscohort studyfirst trimestergestational diabetes mellitushaemoglobin

Identifiers

PMID42427194
PMCPMC13351598

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.