Shuyuan Mao1, Shanshan Li2, Chongjian Wang3, Yisi Liu4, Na Li1, Feifei Liu1, Shuqiong Huang5, Suyang Liu1, Yuanan Lu6, Zhenxing Mao3, Wenqian Huo3, Gongbo Chen7, Hao Xiang8, Yuming Guo9. 1. Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China. 2. Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia. 3. Department of Epidemiology and Biostatistics, School of Public Health, Zhengzhou University, Zhengzhou, Henan, China. 4. Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98105, USA. 5. Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, Hubei Province, China. 6. Environmental Health Laboratory, Department of Public Health Sciences, University of Hawaii at Manoa, Honolulu, HI 96822, USA. 7. Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China. Electronic address: chen.gongbo@whu.edu.cn. 8. Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Hubei Biomass-Resource Chemistry and Environmental Biotechnology Key Laboratory, Wuhan University, 115# Donghu Road, Wuhan, China. Electronic address: xianghao@whu.edu.cn. 9. Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Department of Epidemiology and Biostatistics, School of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Abstract
BACKGROUND: Air pollution has been shown to be associated with blood lipid levels. However, studies on long-term ambient particulate matter with aerodynamic diameter ≤1 μm (PM1) exposure in high-exposure areas are still limited. This study aimed to explore the associations among long-term PM1 exposure, blood lipids and dyslipidemias. METHODS: Baseline data of The Henan Rural Cohort study was used in present study, including a total of 39,259 participants aged from 18 to 79 years. Daily levels of PM1 were estimated by a spatiotemporal model using ground-level measurements of PM1, satellite remote sensing data and other predictors, according to participants' home addresses. Individual exposure to PM1 was the 3-year average before baseline investigation. Linear regression and logistic regression models were applied to examine the associations among PM1, blood lipids ((total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C)), and prevalence of dyslipidemias. RESULTS: The 3-year concentration of PM1 was 55.7 ± 2.1 μg/m3. Each 1 μg/m3 increment of PM1 was associated with an increase of 0.21% (95% confidence interval (CI): 0.11%-0.31%) in TC and 0.75% (95% CI: 0.61%-0.90%) in LDL-C, while decrease of 2.68% (95% CI: 2.43%-2.93%) in TG and 0.47% (95% CI: 0.35%-0.59%) in HDL-C. Each 1 μg/m3 increase in PM1 was associated with 6% (95% CI: 4%-8%), 3% (95% CI: 2%-5%) and 5% (95% CI: 3%-7%) higher risks of hypercholesterolemia, hyperbetalipoproteinemia and hypoalphalipoproteinemia. Sex, age and BMI statistically modified the associations between PM1 with blood lipid levels and dyslipidemias. CONCLUSIONS: Higher PM1 exposure was associated with adverse changes of blood lipid levels and dyslipidemias. Males, older and overweight participants were susceptive to the adverse effects of PM1.
BACKGROUND: Air pollution has been shown to be associated with blood lipid levels. However, studies on long-term ambient particulate matter with aerodynamic diameter ≤1 μm (PM1) exposure in high-exposure areas are still limited. This study aimed to explore the associations among long-term PM1 exposure, blood lipids and dyslipidemias. METHODS: Baseline data of The Henan Rural Cohort study was used in present study, including a total of 39,259 participants aged from 18 to 79 years. Daily levels of PM1 were estimated by a spatiotemporal model using ground-level measurements of PM1, satellite remote sensing data and other predictors, according to participants' home addresses. Individual exposure to PM1 was the 3-year average before baseline investigation. Linear regression and logistic regression models were applied to examine the associations among PM1, blood lipids ((total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C)), and prevalence of dyslipidemias. RESULTS: The 3-year concentration of PM1 was 55.7 ± 2.1 μg/m3. Each 1 μg/m3 increment of PM1 was associated with an increase of 0.21% (95% confidence interval (CI): 0.11%-0.31%) in TC and 0.75% (95% CI: 0.61%-0.90%) in LDL-C, while decrease of 2.68% (95% CI: 2.43%-2.93%) in TG and 0.47% (95% CI: 0.35%-0.59%) in HDL-C. Each 1 μg/m3 increase in PM1 was associated with 6% (95% CI: 4%-8%), 3% (95% CI: 2%-5%) and 5% (95% CI: 3%-7%) higher risks of hypercholesterolemia, hyperbetalipoproteinemia and hypoalphalipoproteinemia. Sex, age and BMI statistically modified the associations between PM1 with blood lipid levels and dyslipidemias. CONCLUSIONS: Higher PM1 exposure was associated with adverse changes of blood lipid levels and dyslipidemias. Males, older and overweight participants were susceptive to the adverse effects of PM1.
Authors: Amy L Zhang; John R Balmes; Liza Lutzker; Jennifer K Mann; Helene G Margolis; Tim Tyner; Nina Holland; Elizabeth M Noth; Fred Lurmann; S Katharine Hammond; Stephanie M Holm Journal: J Expo Sci Environ Epidemiol Date: 2021-08-20 Impact factor: 6.371
Authors: Alessandra Pulliero; Simona Iodice; Angela Cecilia Pesatori; Luisella Vigna; Zumama Khalid; Valentina Bollati; Alberto Izzotti Journal: Int J Environ Res Public Health Date: 2022-05-09 Impact factor: 4.614