Evidence map›Paper›PMID 42465642›Full record

ArticleFrontiers in public health2026

Factors associated with the severity of nutritional anemia during pregnancy in Shenzhen (2021-2023): a cross-sectional analysis.

Yonghong Lian, Mi Zhang, Kaiwu Lin, Lingyu Xu, Zhuoqun Zhou, Xuemei Gao, Xinxin Hu, Olamide Adefioye, Zihan Zhong, Linrong Chen and 4 more

Abstract read
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Article in Frontiers in public 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Yonghong LianShenzhen Pingshan Maternity and Child Healthcare Hospital, Shenzhen, China.
Mi ZhangGuangxi University of Chinese Medicine, Nanning, China.
Kaiwu LinShenzhen Second People's Hospital, Shenzhen, China.
Lingyu XuShenzhen Pingshan Maternity and Child Healthcare Hospital, Shenzhen, China.
Zhuoqun ZhouShenzhen Pingshan Maternity and Child Healthcare Hospital, Shenzhen, China.
Xuemei GaoShenzhen Pingshan Maternity and Child Healthcare Hospital, Shenzhen, China.
Xinxin HuShenzhen Pingshan Maternity and Child Healthcare Hospital, Shenzhen, China.
Olamide AdefioyeTerasaki Institute for Biomedical Innovation, Los Angeles, CA, United States.
Zihan ZhongShenzhen Second People's Hospital, Shenzhen, China.
Linrong ChenShenzhen Technology University, Shenzhen, China.
Zhixue XuShenzhen Second People's Hospital, Shenzhen, China.
Weihua ZhaoShenzhen Technology University, Shenzhen, China.
Yan TanShenzhen Key Laboratory of Reproductive Immunology for Peri-implantation, Shenzhen Zhongshan Institute for Reproductive Medicine and Genetics, Shenzhen Zhongshan Obstetrics & Gynecology Hospital, Shenzhen, China.
Guanglei LiShenzhen Second People's Hospital, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nutritional anemia during pregnancy is a major public health concern and a leading contributor to adverse maternal and neonatal outcomes. The determinants of anemia severity remain insufficiently characterized in rapidly urbanizing regions. This study aimed to identify factors associated with the severity of nutritional anemia among pregnant women in Pingshan District, Shenzhen. Methods: A retrospective cross-sectional study was conducted using data from the Shenzhen Maternal and Child Health Management Information System. A total of 4,025 pregnant women diagnosed with nutritional anemia between 2021 and 2023 with complete records were included. Anemia severity was classified based on the lowest hemoglobin concentration during pregnancy as mild or moderate-to-severe. Univariate and multivariable logistic regression analyses were performed to identify independent risk factors. Results: Among the 4,025 pregnant women included, 1,176 (29.2%) had moderate-to-severe nutritional anemia. In the fully adjusted model, migrant population status was independently associated with an increased risk of moderate-to-severe anemia compared with permanent residents (OR = 1.6, 95% CI: 1.3-1.9). Higher parity was also independently associated with greater anemia severity, with women having two or more prior deliveries exhibiting a 1.4-fold increased risk (OR = 1.4, 95% CI: 1.2-1.8). In addition, after excluding cases in which prenatal risk stratification was elevated solely due to anemia, a high prenatal risk status at the initial antenatal visit remained significantly associated with moderate-to-severe anemia (OR = 1.6, 95% CI: 1.2-2.1). Conversely, a pre-pregnancy BMI ≥ 25 kg/m Conclusion: In this urbanized district of Shenzhen, migrant status, higher parity, and elevated prenatal risk were independent factors associated with moderate-to-severe nutritional anemia among women diagnosed with nutritional anemia. Early anemia screening and targeted nutritional interventions for these high-risk subgroups may help reduce anemia severity and improve maternal and neonatal outcomes.

Indexed as

AnemiaPregnancy ComplicationsAdultChinaCross-Sectional StudiesFemaleHumansPregnancyRetrospective StudiesRisk FactorsSeverity of Illness IndexYoung Adultanemiamigrant populationpregnancyseverityShenzhen

Identifiers

PMID42465642
PMCPMC13372978

What Socratic holds

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LicenceCC BY
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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 Socratic graph.