Evidence map›Paper›PMID 42129198›Full record

Articlenpj aging2026

Reproductive life events and biological aging in women over 50: evidence from DNA methylation clocks.

Ya-Qian Xu, Jinming Fu, Chongyu Ding, Hui Zhang, Yulu Gong, Darong Hao, Xiao Sun, Ping Zeng, Xiangwei Li

Abstract read
In one paragraph

Article in npj aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Ya-Qian Xu *School of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jinming Fu *Department of Biostatistics, Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, China.
Chongyu DingSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hui ZhangSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yulu GongSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Darong HaoSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiao SunNanyang Centre for Public Administration, Nanyang Technology University, Singapore, Singapore.
Ping ZengDepartment of Biostatistics, Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, China. zpstat@xzhmu.edu.cn.
Xiangwei LiSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China. li.xiangwei@sjtu.edu.cn.

Funding

the Natural Science Fund for Colleges and Universities in Jiangsu Province 23KJD330001the Shanghai Jiao Tong University's "New Young Teachers Launch Plan" KJ3-0214-24-0015the startup fund for Principal Investigators from the School of Medicine, Shanghai Jiao Tong University KJ2-0112-23-0002
6 · The paper itself

Abstract

As global aging intensifies, elucidating reproductive health's epigenetic aging associations is crucial. However, the impact of reproductive history on multi-generational DNA methylation (DNAm) clocks remains insufficiently characterized, representing a significant gap in understanding biological vs. chronological aging divergence. This study analyzed 1117 U.S. women aged 50 or older from NHANES 1999-2002 to examine associations between reproductive history and 12 DNA methylation (DNAm) algorithms. Multivariable linear/logistic regression models assessed associations between reproductive indicators and DNAm age acceleration, adjusting for sociodemographic/biological confounders. The β coefficients represent the change in DNAm age acceleration in years. Pregnancy frequency (per additional pregnancy) showed positive associations with PhenoAgeacc (β = 0.14, 95%CI:0.01-0.27) and GrimAge2Mortacc (β = 0.10, 0.03-0.18). Categorical analyses revealed that high pregnancy parity (≥5) significantly increased the odds of GrimAge2Mortacc (OR = 2.34, 95% CI: 1.15-4.71), while high live birth parity (≥5) was associated with increased odds of HannumAgeacc (OR = 2.57, 95% CI: 1.01-6.92). Most primary associations involving second-generation clocks remained robust after false discovery rate correction. While menarche timing showed no significant associations, later menopause and a longer reproductive lifespan were significantly associated with decelerated biological aging after multiple testing correction. These findings suggest that parity and reproductive timing are associated with biological aging trajectories through methylation mechanisms, advancing our understanding of sex-specific aging drivers.

Identifiers

PMID42129198
PMCPMC13687541

What OpenQuestion holds

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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.