Evidence map›Paper›PMID 39473819›Full record

ArticleEnvironment & health (Washington, D.C.)2024

Association of Multiple Urinary Phthalates Metabolites with Diabetes Risk in Elderly Population.

Yue Wang, Jiaoyang Chen, Jingang Shi, Zhixin Zhao, Jiamei Chen, Ye Deng, Tianyun Wang, Yuting Wang, Yuting Xiang, Miao He

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PubMed Full text at PMC Publisher
In one paragraph

Article in Environment & health (Washington, D.C.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Yue WangDepartment of Environmental Health, School of Public Health, Key Laboratory of Environmental Health Damage Research and Assessment, China Medical University, Shenyang 110122, China.
Jiaoyang ChenDepartment of Environmental Health, School of Public Health, Key Laboratory of Environmental Health Damage Research and Assessment, China Medical University, Shenyang 110122, China.
Jingang ShiDepartment of Environmental Health, School of Public Health, Key Laboratory of Environmental Health Damage Research and Assessment, China Medical University, Shenyang 110122, China.
Zhixin ZhaoDepartment of Environmental Health, School of Public Health, Key Laboratory of Environmental Health Damage Research and Assessment, China Medical University, Shenyang 110122, China.
Jiamei ChenDepartment of Environmental Health, School of Public Health, Key Laboratory of Environmental Health Damage Research and Assessment, China Medical University, Shenyang 110122, China.
Ye DengDepartment of Environmental Health, School of Public Health, Key Laboratory of Environmental Health Damage Research and Assessment, China Medical University, Shenyang 110122, China.
Tianyun WangDepartment of Environmental Health, School of Public Health, Key Laboratory of Environmental Health Damage Research and Assessment, China Medical University, Shenyang 110122, China.
Yuting WangDepartment of Environmental Health, School of Public Health, Key Laboratory of Environmental Health Damage Research and Assessment, China Medical University, Shenyang 110122, China.
Yuting XiangDepartment of Environmental Health, School of Public Health, Key Laboratory of Environmental Health Damage Research and Assessment, China Medical University, Shenyang 110122, China.
Miao HeDepartment of Environmental Health, School of Public Health, Key Laboratory of Environmental Health Damage Research and Assessment, China Medical University, Shenyang 110122, China.ORCID https://orcid.org/0000-0002-8427-7693

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a common environmental endocrine disruptor, phthalate exposure could affect the diabetes risk. However, it remains unclear whether phthalate exposure in the elderly population alters diabetes risk. We conducted a cross-sectional survey to explore the effect of urinary phthalate metabolites on diabetes in the elderly. We conducted a health survey of 200 elderly in northeastern China and measured urinary concentrations of 64 phthalate metabolites. We next evaluated the association between major phthalates and phthalate mixtures and diabetes in the elderly. The least absolute shrinkage and selection operator (LASSO) regression screened for mono (3-carboxypropyl) phthalate (MCPP), monoethyl phthalate (MEP), and mono (2-ethyl-5-hydroxyhexyl) phthalate (MEHHP) as important predictors for diabetes. Weighted quantile sum (WQS) regression and Bayesian Kernel Machine regression (BKMR) models consistently found MEHHP (Weights = 51.9%, PIP = 0.97) to have the greatest effect on diabetes risk in the elderly. Furthermore, MEHHP was associated with an increased risk of diabetes in the multipollutant logistic regression model (OR = 2.148, 95% CI: 1.255 to 3.677). The overall effect of coexposure to MCPP, MEHHP, and MEP on the risk of diabetes in elderly population was significant and positive. In summary, we found that increased urinary MEHHP levels could increase the risk of diabetes in the elderly population. Co-exposure to MCPP, MEHHP and MEP may increase the risk of diabetes.

Identifiers

PMID39473819
PMCPMC11504536

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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.