Evidence map›Paper›PMID 31367698›Full record

ArticleChronic diseases and translational medicine2019

Occupational exposure to heavy metals, alcohol intake, and risk of type 2 diabetes and prediabetes among Chinese male workers.

Ai-Min Yang, Xiao-Bin Hu, Simin Liu, Ning Cheng, De-Sheng Zhang, Juan-Sheng Li, Hai-Yan Li, Xiao-Wei Ren, Na Li, Xi-Pin Sheng and 5 more

Open access · goldAbstract read
In one paragraph

Article in Chronic diseases and translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 21% of its field
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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Association of Blood Heavy Metals with Diabetic Foot Ulcers in U.S. Adults with Diabetes: Insights from the 1999-2004 NHANES Data.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Article
  5. Article
  6. Article
  7. Exposure to PMEnvironmental geochemistry and health · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Disease Ionomics: Understanding the Role of Ions in Complex Disease.International journal of molecular sciences · 2020
    Review
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

15 authors at 4 institutions in 2 countries.

Ai-Min YangInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, China.
Xiao-Bin HuInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, China.
Simin LiuDepartment of Epidemiology, School of Public Health, Brown University, Providence, RI 02912, USA.
Ning ChengCenter of Medical Laboratory, Lanzhou University, Lanzhou, Gansu 730000, China.
De-Sheng ZhangWorkers' Hospital of Jinchuan Group Co., Ltd., Jinchang, Gansu 737100, China.
Juan-Sheng LiInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, China.
Hai-Yan LiWorkers' Hospital of Jinchuan Group Co., Ltd., Jinchang, Gansu 737100, China.
Xiao-Wei RenInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, China.
Na LiWorkers' Hospital of Jinchuan Group Co., Ltd., Jinchang, Gansu 737100, China.
Xi-Pin ShengInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, China.
Jiao DingWorkers' Hospital of Jinchuan Group Co., Ltd., Jinchang, Gansu 737100, China.
Shan ZhengInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, China.
Min-Zheng WangInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, China.
Tong-Zhang ZhengDepartment of Epidemiology, School of Public Health, Brown University, Providence, RI 02912, USA.
Ya-Na BaiInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, China.
Lanzhou University · CNJinchuan (China) · CNBrown University · USZero to Three · US

Funding

Research Training for Cancer Epidemiology & Biostatistics in ChinaD43TW008323 · FIC · YALE UNIVERSITY · PI HOLFORD, THEODORE R, ZHENG, TONGZHANG · 2009 to 2013
$1.1M
Research Training for Study of Air Pollution Control in ChinaD43TW007864 · FIC · YALE UNIVERSITY · PI ZHENG, TONGZHANG · 2007 to 2011
$706k
FIC NIH HHS D43 TW007864FIC NIH HHS D43 TW008323
6 · The paper itself

Abstract

objectiveBoth exposure to heavy metals and alcohol intake have been related to the risk of type 2 diabetes (T2D). In this study, we aimed to assess the potential interactions between metal exposure and alcohol intake on the risk of T2D and prediabetes in a cohort of Chinese male workers.

methodsWe conducted a cross-sectional analysis of 26,008 Chinese male workers in an occupational cohort study from 2011 to 2013. We assessed metal exposure and alcohol consumption at baseline in these workers who were aged ≥20 years. Based on occupations which were categorized according to measured urine metal levels, multiple logistic regression analyses were used to evaluate the independent and joint effects of metal and alcohol exposure on the risk of T2D and prediabetes.

resultsRisks of T2D (

conclusionsBoth exposures to metal and heavy alcohol intake were associated with the risk of diabetes in this large cohort of male workers. There was a strong interaction between these two exposures in affecting diabetes risk that needs to be confirmed in future studies.

Indexed as

AlcoholInteractionMetalsPrediabetesType 2 diabetes

Identifiers

PMID31367698
PMCPMC6656874
OpenAlexW2954474547

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.