ArticlePloS one2015
Long-Term Exposure to Ambient Air Pollution and Metabolic Syndrome in Adults.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 3 of them syntheses that pooled it.
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Who cites it
56 citing papers in PubMed, 3 syntheses or guidelines pooled it, 132 citations in OpenAlex.
- The Indoor Microbiome: Sampling, Analysis and Emerging Trends.Environmental microbiology reports · 2026Pooled it
- The association between air pollution and obesity: an umbrella review of meta-analyses and systematic reviews.BMC public health · 2024Pooled it
- Exposure to Environmental and Occupational Particulate Air Pollution as a Potential Contributor to Neurodegeneration and Diabetes: A Systematic Review of Epidemiological Research.International journal of environmental research and public health · 2018Pooled it
- Effect of pollution on the prevalence of obesity, diabetic complications and olfactory dysfunction in diabetic patients.Journal of endocrinological investigation · 2026Article
- Association of air pollution and depressive symptoms with cardiometabolic Multimorbidity in middle-aged and older adults: an analysis based on the China health and retirement longitudinal study (CHARLS).Acta diabetologica · 2026Article
- Effect modification by cardiovascular and metabolic disease onset on long-term PMScientific reports · 2025Article
- Combined impact of dynamic air pollution and transportation noise on cardiometabolic disorders in San Diego County.American journal of epidemiology · 2025Article
- Air pollution, greenspace, and metabolic syndrome in older Czech and Swiss populations.Environmental epidemiology (Philadelphia, Pa.) · 2025Article
- Long-Term Exposure to Ambient Air Pollution and Metabolic Syndrome and Its Components.Journal of obesity & metabolic syndrome · 2025Review
- Association between annual concentration of air pollutants and incidence of metabolic syndrome among Korean adults: Korean Genome and Epidemiology Study (KoGES).Environmental health : a global access science source · 2025Article
- Aircraft noise exposure and body mass index among female participants in two Nurses' Health Study prospective cohorts living around 90 airports in the United States.Environment international · 2024Article
- Exploring the relationship between air pollution, non-alcoholic fatty liver disease, and liver function indicators: a two-sample Mendelian randomization analysis study.Frontiers in endocrinology · 2024Article
- Moderate PMFrontiers in public health · 2024Article
- Associations between peripheral thyroid sensitivity and all-cause and cardiovascular mortality in the US adults with metabolic syndrome.Frontiers in medicine · 2024Article
- Long-term exposure to air pollution and prevalent nonalcoholic fatty liver disease.Environmental epidemiology (Philadelphia, Pa.) · 2023Article
- Does maternal low-dose cadmium exposure increase the risk of offspring to develop metabolic syndrome and/or type 2 diabetes?Life sciences · 2023Review
- Evidence for ethnicity and location as regulators of the newborn blood metabolome: a monozygous twin study.Frontiers in nutrition · 2023Article
- Association of PMInternational journal of environmental research and public health · 2022Article
- Traffic-related air pollution, biomarkers of metabolic dysfunction, oxidative stress, and CC16 in children.Journal of exposure science & environmental epidemiology · 2022Article
- DNA methylation: a potential mediator between air pollution and metabolic syndrome.Clinical epigenetics · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Air pollutants (AP) play a role in subclinical inflammation, and are associated with cardiovascular morbidity and mortality. Metabolic syndrome (MetS) is inflammatory and precedes cardiovascular morbidity and type 2 diabetes. Thus, a positive association between AP and MetS may be hypothesized. We explored this association, (taking into account, pathway-specific MetS definitions), and its potential modifiers in Swiss adults. We studied 3769 participants of the Swiss Cohort Study on Air Pollution and Lung and Heart Diseases in Adults, reporting at least four-hour fasting time before venepuncture. AP exposures were 10-year mean residential PM10 (particulate matter <10μm in diameter) and NO2 (nitrogen dioxide). Outcomes included MetS defined by World Health Organization (MetS-W), International Diabetes Federation (MetS-I) and Adult Treatment Panel-III (MetS-A) using four- and eight-hour fasting time limits. We also explored associations with individual components of MetS. We applied mixed logistic regression models to explore these associations. The prevalence of MetS-W, MetS-I and MetS-A were 10%, 22% and 18% respectively. Odds of MetS-W, MetS-I and MetS-A increased by 72% (51-102%), 31% (11-54%) and 18% (4-34%) per 10μg/m3 increase in 10-year mean PM10. We observed weaker associations with NO2. Associations were stronger among physically-active, ever-smokers and non-diabetic participants especially with PM10 (p<0.05). Associations remained robust across various sensitivity analyses including ten imputations of missing observations and exclusion of diabetes cases. The observed associations between AP exposure and MetS were sensitive to MetS definitions. Regarding the MetS components, we observed strongest associations with impaired fasting glycemia, and positive but weaker associations with hypertension and waist-circumference-based obesity. Cardio-metabolic effects of AP may be majorly driven by impairment of glucose homeostasis, and to a less-strong extent, visceral adiposity. Well-designed prospective studies are needed to confirm these findings.
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Registered trials
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.