Evidence map›Paper›PMID 41444248›Full record

ArticleNature communications2025

Social determinants of health, accelerated biological aging, and long-term health outcomes.

Jiang Li, Jie Li, Xiaoqin Xu, Wenqi Shen, Ying Sun, Yanqi Fu, Xiao Tan, Ningjian Wang, Lu Qi, Bin Wang and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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

11 authors.

Jiang Li *Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0009-0005-6253-618X
Jie Li *Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaoqin XuInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wenqi ShenInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ying SunInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0002-8529-3521
Yanqi FuInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiao TanDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-3992-5812
Ningjian WangInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. wnj486@126.com.ORCID http://orcid.org/0000-0001-9591-6991
Lu QiDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA. lqi1@tulane.edu.ORCID http://orcid.org/0000-0002-8041-7791
Bin WangInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. binwang1126@163.com.ORCID http://orcid.org/0000-0002-4869-1352
Yingli LuInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. luyingli2008@126.com.ORCID http://orcid.org/0000-0002-5117-1614

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82404337, 82170870, and 82120108008Shanghai Municipal Education Commission 2019-01-07-00-01-E00059
6 · The paper itself

Abstract

Social determinants of health (SDHs) are the primary drivers of health inequalities, but whether biological aging plays a role in linking SDHs to health outcomes remains unclear. Here we utilize detailed information on social determinants across five domains, clinical parameters and electronic health records from the UK Biobank and US NHANES to examine the associations between combined SDHs, accelerated biological aging, and health outcomes. Compared with participants in the favourable SDH group, participants in the unfavourable SDH group had increased KDM-BA and phenotypic age acceleration. Moreover, unfavourable SDHs were associated with elevated risks of mortality and incident diseases. Accelerated biological aging significantly mediated the association between SDHs and all-cause and cause-specific mortality (UK Biobank: mediation proportion 13.46%-25.21%; US NHANES: 7.62%-22.16%). Also, accelerated biological aging served as a mediator between SDHs and incident diseases in the UK Biobank, with the mediation proportions ranging from 6.20% to 30.48%. The estimates were likely specific to the UK Biobank cohort considering its healthy volunteer bias and limited socioeconomic diversity. Overall, our study reveals that the biological aging discrepancy partially explains the associations of combined SDHs with mortality and chronic diseases. Assessing and delaying aging acceleration may be an effective way to narrow the health disparities caused by SDHs.

Indexed as

AgingSocial Determinants of HealthAdultAgedBiological Specimen BanksChronic DiseaseFemaleHealth Status DisparitiesHumansMaleMiddle AgedNutrition SurveysUnited KingdomUnited States

Identifiers

PMID41444248
PMCPMC12830646

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.