Evidence map›Paper›PMID 39358758›Full record

ArticleBMC public health2024

Pregnancy loss and risk of cardiometabolic multimorbidity in Chinese women: the China Kadoorie Biobank study.

Sha Huang, Siyu Zou, Jiayi Hee, Ruofan Gongye, Shunqing Xu, Kun Tang

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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

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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.

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sha HuangSchool of Environmental Science and Engineering, Hainan University, Haikou, Hainan, 570228, China. huangsha@hainanu.edu.cn.
Siyu ZouVanke School of Public Health, Tsinghua University, Zhongguancun North Street, Haidian District, Beijing, 100084, China.
Jiayi HeeVanke School of Public Health, Tsinghua University, Zhongguancun North Street, Haidian District, Beijing, 100084, China.
Ruofan GongyeVanke School of Public Health, Tsinghua University, Zhongguancun North Street, Haidian District, Beijing, 100084, China.
Shunqing XuSchool of Environmental Science and Engineering, Hainan University, Haikou, Hainan, 570228, China. xust@hust.edu.cn.
Kun TangVanke School of Public Health, Tsinghua University, Zhongguancun North Street, Haidian District, Beijing, 100084, China. tangk@tsinghua.edu.cn.

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundWhile the association between pregnancy loss and individual cardiometabolic diseases (CMDs) is well-established, its impact on the risk of coexisting CMDs remains unclear. Therefore, the aim of this study is to investigate the association between pregnancy loss with the risk of cardiometabolic multimorbidity in Chinese women.

methodWe analyzed the cross-sectional data of 299,582 female participants aged 30-79 years old from the China Kadoorie biobank. Cardiometabolic multimorbidity was defined as the coexistence of two or more CMDs, including coronary heart disease, stroke, hypertension, and diabetes. Multivariable logistic regression was used to evaluate the odds ratios (ORs) between the number and type of pregnancy loss with the risk of cardiometabolic multimorbidity, characterized by the number and type of CMD.

resultsAfter adjusting for confounding factors, pregnancy loss was found to be significantly associated with increased cardiometabolic multimorbidity risk (OR, 1.13 95% CI 1.08-1.19). Specifically, pregnancy loss due to spontaneous and induced abortion (OR 1.10, 95% CI 1.03-1.18 and OR 1.13, 95% CI 1.08-1.19, respectively). In contrast, no significant association was found between stillbirth and cardiometabolic multimorbidity (OR 1.03, 95% CI 0.95-1.11). The risk of cardiometabolic multimorbidity increases as the number of pregnancy loss increases (one pregnancy loss: OR 1.10, 95% CI 1.05-1.16, two or more pregnancy loss: OR 1.16, 95% CI 1.10-1.22). Similarly, the diagnosis of multiple CMDs increases with increasing number of pregnancy loss. Pregnancy loss was related to higher risk of cardiometabolic multimorbidity across most CMD combinations of CMDs.

conclusionPregnancy loss, in particular, spontaneous and induced abortion was significantly associated with greater risk of cardiometabolic multimorbidity. The associations were stronger among those with recurrent pregnancy loss.

Indexed as

Abortion, SpontaneousMultimorbidityAdultAgedBiological Specimen BanksCardiometabolic Risk FactorsCardiovascular DiseasesChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMiddle AgedPregnancyRisk FactorsCardiometabolic multimorbidityInduced abortionPregnancy lossSpontaneous abortionStillbirth

Identifiers

PMID39358758
PMCPMC11448432

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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.