Open this publication in new window or tab >>Occupational and Environmental Medicine, Sahlgrenska Akademin, Gothenburg, Västra Götaland, Sweden, Department of Occupational & Environmental Medicine, Sahlgrenska Universitetssjukhuset, Gothenburg, Västra Götaland, Sweden.
Karolinska Institutet, Stockholm, Stockholms, Sweden, Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, SE 17080 Stockholm, Sweden.
Environment and Health Administration, SLB-Analys, City of Stockholm, Sweden.
Region Östergötland, Medicine Center, Occupational and Environmental Medicine Center. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Department of Health, Medicine and Caring Sciences, Division of Prevention, Rehabilitation and Community Medicine.
Karolinska Institutet, Stockholm, Stockholms, Sweden, Department of Cardiology and Clinical Physiology, Danderyds Sjukhus, Danderyd, Stockholms, Sweden.
Karolinska Institutet, Stockholm, Stockholms, Sweden, Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, SE 17080 Stockholm, Sweden.
Section of Sustainable Health, Umeå Universitet, Umeå, Västerbotten, Sweden.
Department of Occupational & Environmental Medicine, Akademiska Sjukhuset, Uppsala, Uppsala, Sweden.
Section of Sustainable Health, Umeå Universitet, Umeå, Västerbotten, Sweden, Occupational and Environmental Medicine, Institutionen för laboratoriemedicin, Lund, Skåne, Sweden.
Karolinska Institutet, Stockholm, Stockholms, Sweden.
Occupational and Environmental Medicine, Sahlgrenska Akademin, Gothenburg, Västra Götaland, Sweden, Department of Occupational & Environmental Medicine, Sahlgrenska Universitetssjukhuset, Gothenburg, Västra Götaland, Sweden.
Occupational and Environmental Medicine, Sahlgrenska Akademin, Gothenburg, Västra Götaland, Sweden.
Occupational and Environmental Medicine, Sahlgrenska Akademin, Gothenburg, Västra Götaland, Sweden, Department of Occupational & Environmental Medicine, Sahlgrenska Universitetssjukhuset, Gothenburg, Västra Götaland, Sweden.
Occupational and Environmental Medicine, Uppsala Universitet, Uppsala, Uppsala, Sweden, Department of Occupational & Environmental Medicine, Akademiska Sjukhuset, Uppsala, Uppsala, Sweden.
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2025 (English)In: Science of the Total Environment, ISSN 0048-9697, E-ISSN 1879-1026, Vol. 995, article id 180120Article in journal (Refereed) Published
Abstract [en]
Background: Studies on long-term exposure to air pollution at high levels suggest an association with increased risk of metabolic syndrome (MetS). We aimed to study this relationship at very low levels, less well-studied, yet of public health importance. Methods: The Swedish CArdioPulmonary bioImage Study (SCAPIS) consists of randomly selected subjects aged 50–64 years from six large cities in Sweden (n = 30,154). Participants underwent medical examination and answered a health-related questionnaire at enrolment. MetS was defined using established criteria. Residential exposure to PM2.5 and NO2 was modelled annually for each subject over 10 years before enrolment. Adjusted prevalence ratios (adj PR) were calculated both by quartiles of exposure and per 1 μg/m3 increment in PM2.5 and NO2, with adjustments for age, lifestyle and socioeconomic factors. Results: Full information on exposure, covariates, and MetS was obtained for 13,997 (90.26 %) females and 12,978 (88.61 %) males, respectively. The 10-years mean exposures of PM2.5 and NO2 before enrolment were 6.57 and 11.47 μg/m3, respectively. The prevalence of MetS was 28.75 % in females and 38.20 % in males, respectively. Quartile analysis of PM2.5 did not reveal significant increased adj PR for MetS, neither in females nor in males. For females the adj PR per 1 μg/m3 was 0.91 (0.89–0.94) and for males 0.95 (0.92–0.97), respectively. Similar, but somewhat weaker, associations were seen for NO2. Conclusion: Some inverse associations between air pollution and MetS were observed, but these results should be interpreted with caution due to limitations in the cross-sectional design. Results should not be interpreted beyond our studied exposure range.
Place, publisher, year, edition, pages
Elsevier B.V., 2025
Keywords
Ambient air pollution, Cohort, Cross-sectional, NO<sub>2</sub>, PM<sub>2.5</sub>, Prevalence ratio, Air Pollutants, Air Pollution, Cohort Studies, Environmental Exposure, Female, Humans, Male, Metabolic Syndrome, Middle Aged, Nitrogen Dioxide, Particulate Matter, Prevalence, Sweden, Diseases, Economics, Metabolism, high density lipoprotein cholesterol, low density lipoprotein cholesterol, nitric oxide, Long term exposure, Low-level exposure, Metabolic syndromes, NO 2, PM 2.5, Swedishs, ambient air, atmospheric pollution, disease prevalence, health risk, pollution exposure, public health, urban population, adult, alcohol consumption, Article, cohort analysis, controlled study, cross-sectional study, diastolic blood pressure, human, lifestyle, major clinical study, metabolic syndrome X, particulate matter 2.5, questionnaire, risk factor, socioeconomic background, systolic blood pressure, air pollutant, epidemiology
National Category
Occupational Health and Environmental Health
Identifiers
urn:nbn:se:liu:diva-223221 (URN)10.1016/j.scitotenv.2025.180120 (DOI)40714611 (PubMedID)2-s2.0-105011374829 (Scopus ID)
2026-04-222026-04-222026-04-22