Evidence map›Paper›PMID 41531281›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2026

Interaction Between Maternal Obesity and Metabolic Dysfunction in Gestational Hypertension and Preeclampsia: A Prospective Birth Cohort Study.

Jiayi Chen, Yibing Zhu, Junwei Liu, Qingxiu Li, Huimin Shi, Wenjuan Liu, Haiyan Gao, Wei Li, Zhengqin Wu, Bin Sun and 2 more

Abstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

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

12 authors.

Jiayi ChenDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Yibing ZhuCollege of Clinical Medicine For Obstetrics & Gynecology and Pediatrics, Fujian Maternity and Child Health Hospital, Fujian Medical University, Fuzhou, China.
Junwei LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Qingxiu LiDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Huimin ShiDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Wenjuan LiuCollege of Clinical Medicine For Obstetrics & Gynecology and Pediatrics, Fujian Maternity and Child Health Hospital, Fujian Medical University, Fuzhou, China.
Haiyan GaoCollege of Clinical Medicine For Obstetrics & Gynecology and Pediatrics, Fujian Maternity and Child Health Hospital, Fujian Medical University, Fuzhou, China.
Wei LiCollege of Clinical Medicine For Obstetrics & Gynecology and Pediatrics, Fujian Maternity and Child Health Hospital, Fujian Medical University, Fuzhou, China.
Zhengqin WuCollege of Clinical Medicine For Obstetrics & Gynecology and Pediatrics, Fujian Maternity and Child Health Hospital, Fujian Medical University, Fuzhou, China.
Bin SunCollege of Clinical Medicine For Obstetrics & Gynecology and Pediatrics, Fujian Maternity and Child Health Hospital, Fujian Medical University, Fuzhou, China.
Qian ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Haibo LiDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.

Funding

The National Natural Science Foundation of China (Youth Program) 82304156The Natural Science Foundation of Fujian Province of China 2025J01200
6 · The paper itself

Abstract

This prospective birth cohort study, conducted in China with 21 893 singleton pregnant women, aimed to investigate the association between metabolic obesity phenotypes and the risks of gestational hypertension (GH) and preeclampsia (PE), as well as to explore the potential interaction between obesity and metabolic abnormalities in relation to these conditions. Participants were categorized according to their pre-pregnancy BMI and metabolic status into different obesity metabolic phenotypes. The diagnosis of GH and PE was based on blood pressure measurements, evidence of end-organ dysfunction, or proteinuria occurring after 20 weeks of gestation. The results indicated that, compared to metabolically healthy normal-weight women, those with metabolically unhealthy normal weight, metabolically healthy overweight/obesity, and metabolically unhealthy overweight/obesity all had significantly elevated risks for both GH (with adjusted odds ratios ranging from 1.77 to 3.89) and PE (adjusted ORs from 1.58 to 4.51). In contrast, metabolically healthy underweight women were found to have a lower risk of GH. Furthermore, an additive interaction was observed between overweight and metabolic unhealthiness, which increased the risk of GH by 1.15 times, representing a 28% relative excess risk. The combined risk for women exposed to both factors was 1.58 times greater than the risk associated with either factor alone. In conclusion, both metabolic abnormalities and overweight/obesity elevate the risks of GH and PE, and a significant interaction effect exists between these two factors.

Indexed as

Hypertension, Pregnancy-InducedObesityPre-EclampsiaAdultBlood PressureBody Mass IndexChinaCohort StudiesFemaleHumansOverweightPregnancyProspective StudiesRisk Factors

Identifiers

PMID41531281
PMCPMC12800569

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.