Evidence map›Paper›PMID 27148900›Full record

ArticleEnvironment international

Associations between long-term exposure to ambient particulate air pollution and type 2 diabetes prevalence, blood glucose and glycosylated hemoglobin levels in China.

Cong Liu, Changyuan Yang, Yaohui Zhao, Zongwei Ma, Jun Bi, Yang Liu, Xia Meng, Yafeng Wang, Jing Cai, Renjie Chen and 1 more

Abstract read
In one paragraph

Article in Environment international. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 6 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

74 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Epidemiological and mechanistic links between PMFrontiers in endocrinology · 2025
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Environmental Risk Factors for Developing Type 2 Diabetes Mellitus: A Systematic Review.International journal of environmental research and public health · 2018
    Pooled it
  7. Spatial Association between Air Pollution and Non-communicable Diseases and their Distribution in India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. The Association Between PM2.5 Exposure and Diabetes Mellitus Among Thai Army Personnel.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2023
    Article
  20. Article

14 more citing papers are in PubMed but not listed here.

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.

Cong Liu *School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China.
Changyuan Yang *School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China.
Yaohui ZhaoNational School of Development, Peking University, Beijing, China.
Zongwei MaState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu Province, China.
Jun BiState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu Province, China.
Yang LiuDepartment of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.
Xia MengDepartment of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.
Yafeng WangInstitute for Social Science Survey, Peking University, Beijing, China.
Jing CaiSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China.
Renjie ChenSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China.
Haidong KanSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China.

Funding

China Health and Retirement Longitudinal StudyR01AG037031 · NIA · PEKING UNIVERSITY · PI STRAUSS, JOHN A, WANG, YAFENG · 2010 to 2024
$15.1M
Archiving the CHARLS DataR03AG049144 · NIA · PEKING UNIVERSITY · PI ZHAO, YAOHUI · 2015 to 2016
$107k
NIA NIH HHS R01 AG037031NIA NIH HHS R03 AG049144
6 · The paper itself

Abstract

backgroundThe evidence for an association between particulate air pollution and type 2 diabetes mellitus (T2DM) in developing countries was very scarce.

objectiveTo investigate the associations of long-term exposure to fine particulate matter (PM2.5) with T2DM prevalence and with fasting glucose and glycosylated hemoglobin (HbA1c) levels in China.

methodsThis is a cross-sectional study based on a nation-wide baseline survey of 11,847 adults who participated in the China Health and Retirement Longitudinal Study from June 2011 to March 2012. The average residential exposure to PM2.5 for each participant in the same period was estimated using a satellite-based spatial statistical model. We determined the association between PM2.5 and T2DM prevalence by multivariable logistic regression models. We also evaluated the association between PM2.5 and fasting glucose and HbA1c levels using multivariable linear regression models. Stratification analyses were conducted to explore potential effect modification.

resultsWe identified 1760 cases of T2DM, corresponding to 14.9% of the study population. The average PM2.5 exposure for all participants was 72.6μg/m(3) during the study period. An interquartile range increase in PM2.5 (41.1μg/m(3)) was significantly associated with increased T2DM prevalence (prevalence ratio, PR=1.14), and elevated levels of fasting glucose (0.26mmol/L) and HbA1c (0.08%). The associations of PM2.5 with T2DM prevalence and with fasting glucose and HbA1c were stronger in several subgroups.

conclusionsThis nationwide cross-sectional study suggested that long-term exposure to PM2.5 might increase the risk of T2DM in China.

Indexed as

Blood GlucoseGlycated HemoglobinAdultAgedAir PollutantsChinaCross-Sectional StudiesDiabetes Mellitus, Type 2Environmental ExposureFemaleHumansLongitudinal StudiesMaleMiddle AgedParticulate MatterPrevalenceAir PollutantsBlood GlucoseGlycated HemoglobinParticulate MatterCross-sectional studyFasting glucoseFine particulate matterGlycosylated hemoglobinType 2 diabetes mellitus

Identifiers

PMID27148900
PMCPMC4902714

What OpenQuestion holds

Textmetadata
LicenceTDM
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.