Association between exposure to ambient air particulates and metabolic syndrome components in a Saudi Arabian population

Magdy Shamy, Mansour Alghamdi, Mamdouh I. Khoder, Abdullah M. Mohorjy, Alser A. Alkhatim, Abdulrahman K. Alkhalaf, Jason Brocato, Lung Chi Chen, George D. Thurston, Chris C. Lim, Max Costa

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

Recent epidemiological evidence suggests that exposure to particulates may be a factor in the etiology of metabolic syndrome (MetS). In this novel study, we investigated the relationship between particulate levels and prevalence of MetS component abnormalities (hypertension, hyperglycemia, obesity) in a recruited cohort (N = 2025) in Jeddah, Saudi Arabia. We observed significant associations between a 10 µg/m3 increase in PM2.5 and increased risks for MetS (Risk Ratio (RR): 1.12; 95% Confidence Interval (CI): 1.06–1.19), hyperglycemia (RR: 1.08; 95% CI: 1.03–1.14), and hypertension (RR: 1.09; 95% CI: 1.04–1.14). PM2.5 from soil/road dust was found to be associated with hyperglycemia (RR: 1.12; 95% CI: 1.06–1.19) and hypertension (RR: 1.11; 95% CI: 1.05–1.18), while PM2.5 from traffic was associated with hyperglycemia (RR: 1.33; 95% CI: 1.05–1.71). We did not observe any health associations with source-specific mass exposures. Our findings suggest that exposure to specific elemental components of PM2.5, especially Ni, may contribute to the development of cardiometabolic disorders.

Original languageEnglish (US)
Article number27
JournalInternational journal of environmental research and public health
Volume15
Issue number1
DOIs
StatePublished - Jan 2018
Externally publishedYes

Keywords

  • Air pollution
  • Diabetes
  • Hyperglycemi
  • Hypertension
  • Metabolic syndrome
  • Particulate matter

ASJC Scopus subject areas

  • Pollution
  • Public Health, Environmental and Occupational Health
  • Health, Toxicology and Mutagenesis

Fingerprint

Dive into the research topics of 'Association between exposure to ambient air particulates and metabolic syndrome components in a Saudi Arabian population'. Together they form a unique fingerprint.

Cite this