Evidence map›Paper›PMID 39521470›Full record

ArticleBMJ open2024

Combination of body mass index and body fat percentage in middle and late pregnancy to predict pregnancy outcomes in patients with gestational diabetes in Wenzhou, China: a single-centre retrospective cohort study.

Bingru Chen, Lanxi Chen, Xiner Zhao, Tao You, Zhi Zheng, Yilin Chen, Shuoru Zhu

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Bingru Chen *Division of Nutrition, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Lanxi Chen *Pathology, WenZhou Medical University Affiliated Taizhou Hospital, Taizhou, Zhejiang, China.
Xiner ZhaoDivision of Nutrition, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Tao YouDivision of Nutrition, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Zhi ZhengGynecology and Obstetrics, Wenzhou People's Hospital, Wenzhou, Zhejiang, China.
Yilin ChenMathematics and Statistics, York University Norman Bethune College, Toronto, Ontario, Canada.
Shuoru ZhuGynecology and Obstetrics, Wenzhou People's Hospital, Wenzhou, Zhejiang, China zhushuoru@126.com.ORCID http://orcid.org/0009-0008-4252-6963

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe present study aimed to evaluate whether body mass index (BMI) and body fat percentage (BFP) could be used to predict pregnancy outcomes in patients with gestational diabetes mellitus (GDM).

designRetrospective cohort study.

settingWenzhou Medical University Affiliated Second Hospital (Zhejiang Province, China). Clinical data were collected from electronic medical records.

participantsData from 683 patients with GDM admitted to the Wenzhou Medical University Affiliated Second Hospital between January 2019 and December 2021 were retrospectively analysed. OUTCOME MEASURES: Pregnancy outcomes.

resultsThe results showed that pregnant women with BFP ≥33% were more prone to abnormal amniotic fluid volume, abnormal blood pressure and anaemia (p<0.05). Additionally, these patients were more likely to experience postpartum haemorrhage and macrosomia, as well as risk factors associated with caesarean section at labour (p<0.05). BMI exhibited a strong predictive value for abnormal blood pressure (OR 1.170; 95% CI 1.090 to 1.275), anaemia (OR 1.073; 95% CI 1.016 to 1.134), caesarean section (OR 1.150; 95% CI 1.096 to 1.208) and macrosomia (OR 1.169; 95% CI 1.063 to 1.285). Additionally, classified BFP had a predictive value for abnormal amniotic fluid volume (OR 3.196; 95% CI 1.294 to 7.894), abnormal blood pressure (OR 2.321; 95% CI 1.186 to 4.545), anaemia (OR 1.817; 95% CI 1.216 to 2.714), and caesarean section (OR 1.734; 95% CI 1.270 to 2.367).

conclusionsThe results suggest that patients with GDM with BFP ≥33% were more likely to experience unfavourable pregnancy outcomes, undergo caesarean section and develop macrosomia. The combination of BMI with classified BFP could better predict abnormal blood pressure and caesarean section in patients with GDM during the middle and late stages of pregnancy.

Indexed as

Body Mass IndexDiabetes, GestationalPregnancy OutcomeAdipose TissueAdultAnemiaCesarean SectionChinaFemaleFetal MacrosomiaHumansPregnancyRetrospective StudiesRisk FactorsBody Mass IndexDiabetes in pregnancyOBSTETRICS

Identifiers

PMID39521470
PMCPMC11551990

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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.