Evidence map›Paper›PMID 41923756›Full record

ArticleFrontiers in public health2026

Association of pregnancy history and unhealthy lifestyle with biological age acceleration: a large cross-sectional study.

Yuting Yao, Shaohua Yin, Keyi Si, Dan Li, Lei Yuan, Yingying Yang, Zhen Li, Guizhu Wu

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

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1 · What the graph read from it

What it found

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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.

2 · The registry

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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

8 authors.

Yuting Yao *Shanghai Key Laboratory of Maternal Fetal Medicine, Department of Gynecology, School of Medicine, Shanghai First Maternity and Infant Hospital, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Tongji University, Shanghai, China.
Shaohua Yin *Department of Medical Engineering, Peking University Third Hospital, Beijing, China.
Keyi Si *Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Dan LiBeijing Key Laboratory of Cardiovascular Receptors Research, State Key Laboratory of Vascular Homeostasis and Remodeling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Department of Cardiology and Institute of Vascular Medicine, Peking University, Beijing, China.
Lei YuanDepartment of Health Management, Naval Medical University, Shanghai, China.
Yingying YangKey Laboratory of Maternal Fetal Medicine, Clinical Research Unit, School of Medicine, Shanghai First Maternity and Infant Hospital, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Tongji University, Shanghai, China.
Zhen LiKey Laboratory of Maternal Fetal Medicine, Clinical Research Unit, School of Medicine, Shanghai First Maternity and Infant Hospital, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Tongji University, Shanghai, China.
Guizhu WuShanghai Key Laboratory of Maternal Fetal Medicine, Department of Gynecology, School of Medicine, Shanghai First Maternity and Infant Hospital, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate the association of pregnancy history with biological age (BA) and BA acceleration, and to explore joint effect with lifestyle factors. Methods: This cross-sectional study used data from the UK Biobank, a population-based cohort recruited across UK between 2006 and 2010, with followed up until the end of 2022. Female participants with available data on chronological age, pregnancy history, lifestyle factors, and clinical biochemistry biomarkers were included. BA and aging acceleration were estimated using Klemera-Doubal Method (KDM BA) and PhenoAge algorithms. The KDM BA, PhenoAge, KDM BA acceleration, and PhenoAge acceleration were calculated. Multivariable general linear regression models were used to assess the associations of pregnancy history alone and combined with lifestyle with BA and BA acceleration. Results: Among 137,218 participants [mean (SD) age, 55.73 (8.01) years], 115 675 (84.3%) reported a history of pregnancy. Compared to those who had never been pregnant, women with a history of pregnancy had a decrease in BA [β = -0.312 (95% CI, -0.432 to -0.191) for KDM BA; β = -0.242 (95% CI, -0.302 to -0.183) for PhenoAge], and BA acceleration [β = -0.021 (95% CI, -0.034 to -0.009) for KDM BA acceleration; β = -0.088 (95% CI, -0.102 to -0.075) for PhenoAge acceleration]. Women with unhealthier lifestyle behaviors had higher BA and BA acceleration, regardless of pregnancy history ( Conclusions: In this large population-based study, pregnancy was associated with lower BA and BA acceleration, while an unhealthier lifestyle was associated with higher BA and BA acceleration. These findings suggest that both reproductive and lifestyle factors may play a role in developing anti-aging interventions and guiding healthy aging policies.

Indexed as

AgingLife StyleReproductive HistoryAdultCross-Sectional StudiesFemaleHumansMiddle AgedPregnancyUK BiobankUnited Kingdombiological agingKlemera-Doubal MethodPhenoAge biological agepregnancy historyunhealthy lifestyle

Identifiers

PMID41923756
PMCPMC13036103

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.