Evidence map›Paper›PMID 40847401›Full record

ArticleReproductive health2025

Association of female reproductive factor with risk of arthritis: a population-based cross-sectional study.

Jiajia Wang, Yiting Ge, Jingbo Xu, Lin He, Chunjiang Liu, Yuefei Wang

Abstract read
In one paragraph

Article in Reproductive health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jiajia Wang *Department of Rheumatology, Shaoxing People's Hospital (The First Affiliated Hospital, Shaoxing University), No. 568 Zhong Xing Road, Shaoxing, Zhejiang, 312000, 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, No. 585 Xingyuan North Road, Liangxi District, Wuxi, Jiangsu, 214000, China.
Lin HeDepartment of Obstetrics and Gynecology, Wuxi No.2 People's Hospital, No. 585 Xingyuan North Road, Liangxi District, Wuxi, Jiangsu, 214000, China.
Chunjiang LiuDepartment of General Surgery, Shaoxing People's Hospital (The First Affiliated Hospital, Shaoxing University), No. 568 Zhong Xing Road, Shaoxing, Zhejiang, 312000, China.
Yuefei WangDepartment of Obstetrics and Gynecology, Wuxi No.2 People's Hospital, No. 585 Xingyuan North Road, Liangxi District, Wuxi, Jiangsu, 214000, China. wyf18751553066@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of the present study was to examine the association of female reproductive factor, including age at first birth (AFB), age at last birth (ALB), number of pregnancies, and live births with prevalence of arthritis in the female population of the American.

methodsThe present study analyzed cross-sectional data from a sample of females of National Health and Nutrition Examination Survey (NHANES) years 1999 through 2018. After adjusting for potential confounding factors, we used weighted multivariable logistic regression analysis, restricted cubic spline (RCS) model, and subgroup analysis to evaluate the association of AFB, ALB, number of live births, and pregnancies with prevalence of arthritis.

resultsA total of 15,842 female individuals were included in our analysis. The RCS showed that the U-shaped were found between AFB, and number of pregnancies with prevalence of arthritis. The above U-shaped correlation was also found for AFB and osteoarthritis (OA), rheumatoid arthritis (RA), and other arthritis, for ALB and OA. Among, number of pregnancies and OA, and RA were associated in a J-shape. However, ALB, and number of live births is negatively correlated with prevalence of arthritis. In addition, the association of ALB with OA, and other type arthritis, number of pregnancies with other arthritis, number of live births with RA, and other type arthritis showed linear negative correlation. In contrast, a positive linear correlation existed between number of live births and RA.

conclusionsThis study provides evidence that women with younger or later AFB have higher odds of arthritis (OA and RA) in later life. When screening for arthritis and devising preventive strategies, reproductive factors need to be taken into consideration.

Indexed as

ArthritisMaternal AgeAdultArthritis, RheumatoidCross-Sectional StudiesFemaleHumansMiddle AgedNutrition SurveysPregnancyPrevalenceRisk FactorsUnited StatesYoung AdultArthritisCross-sectional studyFemale reproductive factorOsteoarthritisRheumatoid arthritis

Identifiers

PMID40847401
PMCPMC12374423

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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.