Air pollution, greenspace, and metabolic syndrome in older Czech and Swiss populations

Publication date

2025-06

Authors

Dalecká, Andrea
Jeong, Ayoung
Szabó, Daniel
Tamasi, Balint
Imboden, Medea
Schaffner, Emmanuel
Keidel, Dirk
Shen, You-ChenISNI 0000000512606680
Nieuwenhuijsen, Mark
Cirach, Marta

Editors

Advisors

Supervisors

Document Type

Article
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License

cc_by

Abstract

BACKGROUND: The prevalence of metabolic syndrome (MetS) has increased rapidly, with considerable variation between European countries. The study examined the relationship between air pollutants, greenspace, and MetS and its components in the Czech and Swiss populations. METHODS: Cross-sectional data from the Czech Health, Alcohol and Psychosocial Factors in Eastern Europe (HAPIEE) (n = 4,931) and the Swiss cohort Study on Air Pollution and Lung and Heart Diseases in Adults (SAPALDIA) (n = 4,422) cohorts included participants aged 44-73 years. MetS was defined as abdominal obesity plus two additional components (hypertension, diabetes, low high-density lipoprotein cholesterol, and elevated triglycerides). Annual mean concentrations of PM 10, PM 2.5, NO 2, and greenspace (defined as the annual mean of normalized difference vegetation index within 500 m) were assigned to the individual residential level. We estimated odds ratios (OR) using multivariable logistic regressions with cluster-robust standard error, controlling for multiple confounders. RESULTS: The prevalence of MetS was significantly higher in the Czech (51.1%) compared with Swiss (35.8%) population as were the concentration means of PM 10 and PM 2.5. In HAPIEE, a 5 μg/m 3 increase in PM 2.5 was associated with 14% higher odds of MetS (OR = 1.14; 95% confidence interval [CI] = 1.01, 1.28). In SAPALDIA, no evidence was found for the associations between air pollutants and MetS (e.g. OR = 1.01; 95% CI = 0.90, 1.13 for PM 2.5). No protective effects of normalized difference vegetation index on MetS were observed. Upon inspection of MetS components, PM 2.5 and PM 10 exposures were associated with higher odds of hypertension and elevated triglycerides in HAPIEE only, while PM 2.5, PM 10, and NO 2 were associated with higher odds of diabetes in SAPALDIA only. CONCLUSION: Individuals with higher exposures to PM 2.5 may be at higher risk of MetS. The differential associations with MetS components between the cohorts deserve further investigation.

Keywords

Air pollution, Cross-sectional design, Greenspace, Metabolic syndrome, Particulate matter, Epidemiology, Global and Planetary Change, Pollution, Public Health, Environmental and Occupational Health, Health, Toxicology and Mutagenesis, SDG 3 - Good Health and Well-being

Citation

Dalecká, A, Jeong, A, Szabó, D, Tamasi, B, Imboden, M, Schaffner, E, Keidel, D, Shen, Y, Nieuwenhuijsen, M, Cirach, M, de Hoogh, K, Vlaanderen, J, Vermeulen, R, Peters, A, Melén, E, Peasey, A, Bobák, M, Pikhart, H & Probst-Hensch, N 2025, 'Air pollution, greenspace, and metabolic syndrome in older Czech and Swiss populations', Environmental Epidemiology, vol. 9, no. 3, pp. e393. https://doi.org/10.1097/EE9.0000000000000393