Evidence map›Paper›PMID 42775206›Full record

ArticleEnvironment & health (Washington, D.C.)2026

Socioeconomic Disparities in PFAS Exposure and Susceptibility to Diabetes in Chinese Adults: A Nationwide Cross-Sectional Study.

Saisai Ji, Jinghua Wang, Yingli Qu, Zheng Li, Yitao Pan, Yawei Li, Haocan Song, Linna Xie, Wenli Zhang, Jiayi Cai and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environment & health (Washington, D.C.), 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

18 authors.

Saisai JiDepartment of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China.
Jinghua WangState Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Yingli QuChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.ORCID https://orcid.org/0000-0001-6685-8067
Zheng LiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Yitao PanState Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID https://orcid.org/0000-0001-6496-8174
Yawei LiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Haocan SongChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Linna XieChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Wenli ZhangChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Jiayi CaiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Feng ZhaoChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.ORCID https://orcid.org/0000-0001-9199-4466
Ying ZhuChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.ORCID https://orcid.org/0009-0003-7717-7090
Zhaojin CaoChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Shilu TongChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Yuebin LvChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Jiayin DaiState Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID https://orcid.org/0000-0003-4908-5597
Guang JiaDepartment of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China.ORCID https://orcid.org/0000-0003-3981-7221
Xiaoming ShiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.ORCID https://orcid.org/0000-0002-7071-571X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging evidence indicates that socioeconomic status (SES) shapes not only patterns of environmental exposure but also the susceptibility to environmental hazards. Per- and polyfluoroalkyl substances (PFAS) represent a distinctive case in which socioeconomically disadvantaged populations often exhibit lower exposure levels, raising critical questions about how such exposure patterns translate into health inequalities, particularly for diabetes. Using cross-sectional data from 10 302 adults participating in the China National Human Biomonitoring (CNHBM) program, we examined socioeconomic disparities in serum PFAS concentrations and assessed whether lower SES is associated with stronger PFAS-diabetes associations among Chinese adults. We found that individuals with higher SES exhibited 4-10% higher serum concentrations of PFOA, PFUnDA, PFHxS, PFHpS, PFOS, and 6:2 Cl-PFESA (all

Indexed as

BiomonitoringDiabetesHealth inequityPerfluoroalkyl and polyfluoroalkyl substancesSocioeconomic status

Identifiers

PMID42775206
PMCPMC13595376

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.