Long-term exposure to PM2.5 and its components on human high low-density lipoprotein cholesterolemia: A 10-year cohort study in southwest China

Limited research has focused on the independent effects of PM 2.5 chemical components sulfate (SO 4 2- ), nitrate (NO 3 - ), ammonium (NH 4 + ), organic matter (OM), and black carbon (BC) on high low-density lipoprotein cholesterolemia. Therefore, our research aims to investigate the potential casual links between long-term PM 2.5 and its components exposure and high low-density lipoprotein cholesterolemia, while identifying potentially susceptible subpopulations. The study included 5,442 participants from the Guizhou Population Health Cohort Study (GPHCS), which lasted for 10 years. A time-dependent Cox proportional hazards regression model was applied to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for the risk of high low-density lipoprotein cholesterolemia. General linear models (GLMs) were utilized to evaluate the association between PM 2.5 and its components with low density lipoprotein cholesterol (LDL-C) levels. Results: There was a total of 17,339.94 person-years (PYs), among which 1,299 cases of high low-density lipoprotein cholesterolemia were found. All pollutants were associated with the incidence of high low-density lipoprotein cholesterolemia ( P < 0.05) except for BC. Each 1 SD increase in PM 2.5 (4.51 ug/m 3 ) and PM 2.5 chemical components, including SO 4 2- (2.14 ug/m 3 ) NO 3 - (1. 3 6 ug/m 3 ) NH 4 + (0.92 ug / m 3 ) OM (2.57 ug/m 3 ) and BC(0.70 ug/m 3 ), was associated with increased LDL-C levels by 0.78 mmol/L (95% CI: 0.73-0.84), 0.42 mmol/L (95% CI: 0.36-0.48), 0.58 mmol/L (95% CI: 0.53-0.62), 0.50 mmol/L (95% CI: 0.46-0.55), 0.40 mmol/L (95% CI: 0.34-0.45), and 0.31 mmol/L (95% CI: 0.25-0.37), respectively. Subgroup analysis revealed long-term exposure to PM 2.5 and its components had a more substantial impact on minority population, individuals without exhaust ventilation, and those not using clean fuels. This study shows that long-term exposure to PM 2.5 and its components was associated with an increased risk of high low-density lipoprotein cholesterolemia and elevated LDL-C levels, especially among minorities and those without exhaust ventilation or clean fuels. • For each increase of 1 SD in PM 2.5 , the risk of developing high low-density lipoprotein cholesterolemia increases by 136% (HR=2.36, 95% CI: 1.98-2.81), and LDL-C levels increase by 0.78 mmol/L (95% CI: 0.73-0.84). • The association was more substantial impact on minority population, individuals without exhaust ventilation, and those not using clean fuels.

Authors

Institutions

Publication Details

Journal
Environmental Technology & Innovation
Published
2025-05-27
DOI
https://doi.org/10.1016/j.eti.2025.104294
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Long-term exposure to PM2.5 and its components on human high low-density lipoprotein cholesterolemia: A 10-year cohort study in southwest China

Fuyan Zhang, Tao Liu, Xiaoxue Li, Hui Liu et al.
Environmental Technology & Innovation
Air Quality and Health Impacts
article

Long-term exposure to PM2.5 and its components on human high low-density lipoprotein cholesterolemia: A 10-year cohort study in southwest China

Fuyan Zhang, Tao Liu, Xiaoxue Li, Hui Liu, Qingqing Zhan, Qinyu An, Lihua Yin
article en

Abstract

Limited research has focused on the independent effects of PM 2.5 chemical components sulfate (SO 4 2- ), nitrate (NO 3 - ), ammonium (NH 4 + ), organic matter (OM), and black carbon (BC) on high low-density lipoprotein cholesterolemia. Therefore, our research aims to investigate the potential casual links between long-term PM 2.5 and its components exposure and high low-density lipoprotein cholesterolemia, while identifying potentially susceptible subpopulations. The study included 5,442 participants from the Guizhou Population Health Cohort Study (GPHCS), which lasted for 10 years. A time-dependent Cox proportional hazards regression model was applied to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for the risk of high low-density lipoprotein cholesterolemia. General linear models (GLMs) were utilized to evaluate the association between PM 2.5 and its components with low density lipoprotein cholesterol (LDL-C) levels. Results: There was a total of 17,339.94 person-years (PYs), among which 1,299 cases of high low-density lipoprotein cholesterolemia were found. All pollutants were associated with the incidence of high low-density lipoprotein cholesterolemia ( P < 0.05) except for BC. Each 1 SD increase in PM 2.5 (4.51 ug/m 3 ) and PM 2.5 chemical components, including SO 4 2- (2.14 ug/m 3 ) NO 3 - (1. 3 6 ug/m 3 ) NH 4 + (0.92 ug / m 3 ) OM (2.57 ug/m 3 ) and BC(0.70 ug/m 3 ), was associated with increased LDL-C levels by 0.78 mmol/L (95% CI: 0.73-0.84), 0.42 mmol/L (95% CI: 0.36-0.48), 0.58 mmol/L (95% CI: 0.53-0.62), 0.50 mmol/L (95% CI: 0.46-0.55), 0.40 mmol/L (95% CI: 0.34-0.45), and 0.31 mmol/L (95% CI: 0.25-0.37), respectively. Subgroup analysis revealed long-term exposure to PM 2.5 and its components had a more substantial impact on minority population, individuals without exhaust ventilation, and those not using clean fuels. This study shows that long-term exposure to PM 2.5 and its components was associated with an increased risk of high low-density lipoprotein cholesterolemia and elevated LDL-C levels, especially among minorities and those without exhaust ventilation or clean fuels. • For each increase of 1 SD in PM 2.5 , the risk of developing high low-density lipoprotein cholesterolemia increases by 136% (HR=2.36, 95% CI: 1.98-2.81), and LDL-C levels increase by 0.78 mmol/L (95% CI: 0.73-0.84). • The association was more substantial impact on minority population, individuals without exhaust ventilation, and those not using clean fuels.

Environmental Technology & InnovationVol. 39
Guiyang Medical University (CN), Guizhou Center for Disease Control and Prevention (CN)
Major Scientific and Technological Special Project of Guizhou Province
Zero hunger
Openalex Percentile: Top 85%
Air Quality and Health Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.