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Long-term exposure to PM 1 is associated with increased prevalence of metabolic diseases: evidence from a nationwide study in 123 Chinese cities.
- Source :
-
Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Jan; Vol. 31 (1), pp. 549-563. Date of Electronic Publication: 2023 Nov 28. - Publication Year :
- 2024
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Abstract
- Exposure to particulate matter (PM) has been linked to metabolic diseases. However, the effects of PM with an aerodynamic diameter ≤ 1.0 µm (PM <subscript>1</subscript> ) on metabolic diseases remain unclear. This study is aimed at assessing the associations of PM <subscript>1</subscript> with metabolic disease risk and quantifying the concentration-response (C-R) relationship of PM <subscript>1</subscript> with metabolic disease risk. A national cross-sectional study was conducted, including 12,495 middle-aged and older adults in 123 Chinese cities. The two-year average concentration of PM <subscript>1</subscript> was evaluated using satellite-based spatiotemporal models. Metabolic diseases, including abdominal obesity, diabetes, hypertension, dyslipidemia, and metabolic syndrome, were identified based on physical examination, blood standard biochemistry examination, and self-reported disease histories. Generalized linear models and C-R curves were used to evaluate the associations of PM <subscript>1</subscript> with metabolic diseases. A total of 12,495 participants were included in this study, with a prevalence of 45.73% for abdominal obesity, 20.22% for diabetes, 42.46% for hypertension, 41.01% for dyslipidemia, and 33.78% for metabolic syndrome. The mean ± standard deviation age of participants was 58.79 ± 13.14 years. In addition to dyslipidemia, exposure to PM <subscript>1</subscript> was associated with increased risks of abdominal obesity, diabetes, hypertension, and metabolic syndrome. Each 10 μg/m <superscript>3</superscript> increase in PM <subscript>1</subscript> concentrations was associated with 39% (odds ratio (OR) = 1.39, 95% confidence interval (CI) 1.33, 1.46) increase in abdominal obesity, 18% (OR = 1.18, 95%CI 1.12, 1.25) increase in diabetes, 11% (OR = 1.11, 95%CI 1.06, 1.16) increase in hypertension, and 25% (OR = 1.25, 95%CI 1.19, 1.31) in metabolic syndrome, respectively. C-R curves showed that the OR values of abdominal obesity, diabetes, hypertension, and metabolic syndrome were increased gradually with the increase of PM <subscript>1</subscript> concentrations. Subgroup analysis indicated that exposure to PM <subscript>1</subscript> was associated with increased metabolic disease risks among participants with different lifestyles and found that solid fuel users were more susceptible to PM <subscript>1</subscript> than clean fuel users. This national cross-sectional study indicated that exposure to higher PM <subscript>1</subscript> might increase abdominal obesity, diabetes, hypertension, and metabolic syndrome risk, and solid fuel use might accelerate the adverse effects of PM <subscript>1</subscript> on metabolic syndrome risk. Further longitudinal cohort studies are warranted to establish a causal inference between PM <subscript>1</subscript> exposure and metabolic disease risk.<br /> (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
- Subjects :
- Middle Aged
Humans
Aged
Particulate Matter analysis
Prevalence
Cross-Sectional Studies
Obesity, Abdominal epidemiology
Obesity, Abdominal chemically induced
Cities
Obesity chemically induced
Environmental Exposure analysis
China epidemiology
Metabolic Syndrome epidemiology
Hypertension epidemiology
Hypertension chemically induced
Metabolic Diseases epidemiology
Diabetes Mellitus chemically induced
Dyslipidemias epidemiology
Dyslipidemias chemically induced
Air Pollutants analysis
Air Pollution analysis
Subjects
Details
- Language :
- English
- ISSN :
- 1614-7499
- Volume :
- 31
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Environmental science and pollution research international
- Publication Type :
- Academic Journal
- Accession number :
- 38015390
- Full Text :
- https://doi.org/10.1007/s11356-023-31098-z