Evidence map›Paper›PMID 37990201›Full record

ArticleBMC public health2023

The association of female reproductive factors with risk of metabolic syndrome in women from NHANES 1999-2018.

Ronghua Zuo, Yiting Ge, Jingbo Xu, Lin He, Tao Liu, Bing Wang, Lifang Sun, Shasha Wang, Zhijian Zhu, Yuefei Wang

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
10.9field-weighted citation impact, top 1% of its field
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

13 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
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  5. Article
  6. Article
  7. The Dietary Inflammatory Index (DII) and COPD: A Cross-Sectional Study from the NHANES.International journal of chronic obstructive pulmonary disease · 2025
    Article
  8. Article
  9. The dietary inflammatory index (DIIBMC public health · 2024
    Article
  10. Article
  11. Article
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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

10 authors at 4 institutions in 1 country.

Ronghua Zuo *Department of Anesthesiology, Peking University Third Hospital, No. 49, North Garden Street, Haidian District, Beijing, 100191, China.
Yiting Ge *Department of Gynecology, Kunshan Hospital of Traditional Chinese Medicine, No.388 Zuchongzhi Road, Kunshan, Jiangsu, 215300, China.
Jingbo XuDepartment of Obstetrics and Gynecology, Wuxi No.2 People's Hospital, 585 Xingyuan North Road, Liangxi District, Wuxi, Jiangsu, 214000, China.
Lin HeDepartment of Obstetrics and Gynecology, Wuxi No.2 People's Hospital, 585 Xingyuan North Road, Liangxi District, Wuxi, Jiangsu, 214000, China.
Tao LiuDepartment of Cardiology, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, 201500, China.
Bing WangDepartment of Cardiology, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, 201500, China.
Lifang SunDepartment of Cardiology, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, 201500, China.
Shasha WangDepartment of Cardiology, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, 201500, China.
Zhijian ZhuDepartment of Cardiology, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, 201500, China.
Yuefei WangDepartment of Obstetrics and Gynecology, Wuxi No.2 People's Hospital, 585 Xingyuan North Road, Liangxi District, Wuxi, Jiangsu, 214000, China. wyf18751553066@163.com.
Shanghai Sixth People's Hospital · CNWuxi No.2 People's Hospital · CNPeking University · CNShanghai University of Traditional Chinese Medicine · CN

Funding

Shanghai Jinshan District Health Commission Project Fund JSKJ-KTMS-2019-21Shanghai Jinshan District Medical and Health Science and Technology Innovation Fund Project 2020-3-30
6 · The paper itself

Abstract

backgroundFemale reproductive factors such as age at first birth (AFB), age at last birth (ALB), number of pregnancies and live births play an essential role in women's health. However, few epidemiological studies have evaluated the association between female reproductive factors and metabolic syndrome (MetS). We therefore conducted a cross-sectional study to investigate the association between MetS risk and female reproductive factors.

methodsWe investigated the relationship between AFB, ALB, number of pregnancies and live births and the incidence of MetS using publicly available data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. Weighted multivariable logistic regression analysis, restricted cubic spline (RCS) model, and subgroup analysis were used to evaluate the association between AFB and ALB and the risk of MetS in women. In addition, the relationship between the number of pregnancies, live births and MetS risk was also explored.

resultsA total of 15,404 women were included in the study, and 5,983 (38.8%) had MetS. RCS models showed an N-shaped relationship between AFB and MetS risk, whereas ALB, number of pregnancies, and live births were linearly associated with MetS. Weighted multivariable logistic regression analysis showed that the number of live births was associated with MetS risk, with ORs of 1.18 (95% CI: 1.04, 1.35) for women with ≥ 5 deliveries compared to women with ≤ 2 births.

conclusionsAFB was associated with the risk of MetS in an N-shaped curve in women. In addition, women with high live births have a higher incidence of MetS.

Indexed as

Metabolic SyndromeCross-Sectional StudiesFemaleHumansNutrition SurveysPregnancyReproductive HistoryRisk FactorsWomen's HealthAgeBirthMetabolic syndromePregnancyReproductive factor

Identifiers

PMID37990201
PMCPMC10664376
OpenAlexW4388852676

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.