A 77.7% higher risk of cardiovascular-kidney-metabolic () syndrome incidence is associated with combined air pollution exposure.
Each interquartile range increase in particulate matter (PM1, PM2.5, PM10), nitrogen dioxide (NO2), and ozone (O3) is linked to a higher risk of CKM incidence.
Specifically, PM1, PM2.5, PM10, NO2, and O3 demonstrated significant odds ratios ranging from 1.008 to 1.014.
PM10 and sulfur dioxide (SO2) are identified as significant contributors to CKM progression.
In a cumulative analysis, 5-year exposure to PM10 is positively associated with CKM progression.
Simplified
BACKGROUND: Air pollution and cardiovascular-kidney-metabolic () syndrome have emerged as major global public health challenges. However, limited evidence exists on the association between air pollution exposure and CKM incidence and progression.
METHOD: We analyzed data from participants across CKM stages 0-5 enrolled in the China Health and Retirement Longitudinal Study. Ambient air pollutant concentrations were obtained from the China High Air Pollutants database. Binary logistic regression and weighted quantile sum (WQS) regression models were applied to assess the impacts of individual and combined air pollutants on CKM incidence. Cumulative exposure models were employed to study the long-term effects of pollutants on CKM progression. CKM stages were modeled as ordered categorical outcomes using proportional odds models to examine the association between pollutant levels and CKM progression.
RESULTS: A total of 4,026 individuals were included in the main analysis. Each interquartile range increase in particulate matter with aerodynamic diameters ≤ 1 μm (PM1; OR = 1.008, 95% CI: 1.001-1.015, p < 0.05), ≤ 2.5 μm (PM2.5; OR = 1.009, 95% CI: 1.002-1.015, p < 0.01 ), ≤ 10 μm (PM10; OR = 1.010, 95% CI: 1.004-1.016, p < 0.01), nitrogen dioxide (NO2; OR = 1.011, 95% CI:1.004-1.018, p < 0.01), and ozone (O3; OR = 1.014, 95% CI: 1.006-1.021, p < 0.01) was significantly associated with increased CKM risk. The combined effect of multiple pollutants, reflected by the WQS index, was associated with a 77.7% higher risk of CKM incidence (OR = 1.777, 95% CI: 1.143-2.762, p < 0.05). PM10 (OR = 1.160, 95% CI: 1.059-1.270, p < 0.05) and sulfur dioxide (SO2; OR = 1.122, 95% CI: 1.018-1.236, p < 0.05) were significant contributors to CKM progression. In the cumulative effect analysis of 2,146 individuals, 5-year cumulative PM10 exposure was positively associated with CKM progression (OR = 1.027, 95% CI: 1.001-1.055, p < 0.05).
CONCLUSION: Air pollution is a significant environmental determinant of both CKM incidence and progression. Combined and cumulative effects of multiple pollutants may further enhance CKM risk.
Key numbers
1.010
Increase in risk per IQR of PM10
Odds ratio for incidence associated with PM10 exposure
1.777
Higher risk from combined pollutants
Odds ratio from weighted quantile sum (WQS) index analysis
1.027
Cumulative PM10 exposure impact on progression
Odds ratio for progression linked to cumulative PM10 exposure
Full Text
We can’t show the full text here under this license.
Declarations. Ethics approval and consent to participate: This study was approved by the Ethics Review Committee of Peking University (IRB00001052-11015), and written informed consent was obtained from all participants. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.
