Long-term exposure to PM2.5 constituents in relation to glucose levels and diabetes in middle-aged and older Chinese

被引:24
作者
Zhou, Peixuan [1 ]
Mo, Shaocai [1 ]
Peng, Minjin [2 ]
Yang, Zhiming [3 ]
Wang, Fang [4 ]
Hu, Kejia [5 ]
Zhang, Yunquan [1 ,6 ]
机构
[1] Wuhan Univ Sci & Technol, Sch Publ Hlth, Dept Epidemiol & Biostat, Wuhan 430065, Peoples R China
[2] Hubei Univ Med, Shiyan Taihe Hosp, Dept Infect Control, Shiyan 442000, Peoples R China
[3] Univ Sci & Technol Beijing, Sch Econ & Management, Beijing 100083, Peoples R China
[4] Xuzhou Med Univ, Sch Publ Hlth, Dept Biostat, Xuzhou, Peoples R China
[5] Zhejiang Univ, Inst Big Data Hlth Sci, Sch Publ Hlth, Hangzhou 310058, Peoples R China
[6] Wuhan Univ Sci & Technol, Hubei Prov Key Lab Occupat Hazard Identificat & Co, Wuhan 430065, Peoples R China
关键词
Long-term exposure; PM; 2; 5; constituents; Diabetes; Glucose; Cross-sectional study; FINE PARTICULATE MATTER; AIR-POLLUTION; GLYCOSYLATED HEMOGLOBIN; OXIDATIVE STRESS; BLOOD-GLUCOSE; HEALTH; MELLITUS; ASSOCIATIONS; MORTALITY; PROFILE;
D O I
10.1016/j.ecoenv.2022.114096
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: Previous studies have indicated the associations between fine particulate matter (PM2.5) exposure and diabetes or glucose levels. However, evidence linking PM2.5 constituents and diabetes or glucose levels was extensively scarce, particularly in developing countries. This study aimed to investigate the associations of exposure to PM2.5 and its five constituents (black carbon [BC], organic matter [OM], nitrate [NO3-], sulfate [SOq ], and ammonium [NH4+]) with diabetes and glucose levels among the middle-aged and elderly Chinese populations.Methods: A national cross-sectional sample of participants aged 45+ years was enrolled from 28 provinces across China's mainland. Health examination and questionnaire survey for each respondent were performed during 2011-2012. Diabetes was determined by alternative definitions, and the main definition (MD) was self-report diabetes or antidiabetic medicine use or HbA1c >= 6.5 or fasting glucose >= 7 mmol/L or random glucose >= 11.1 mmol/L. Monthly exposure to PM2.5 mass and its five constituents (BC, OM, NO3-, SO42-, and NH4+) for each participant at residence were estimated using satellite-based spatiotemporal prediction models. Generalized linear models and linear mixed-effects models were used to assess the effects of exposure to PM2.5 and its constituents on diabetes or glucose levels, respectively. Stratification analyses were done by sex and age.Results: We included a total of 17,326 adults over 45 years in this study. The 3-year mean (interquartile range [IQR]) concentrations of PM2.5, BC, OM, NO3-, SOq, and NH4+ were 47.9 (27.4) mu g/m3, 2.9 (2.2) mu g/m3, 9.2 (6.6) mu g/m3, 10.2 (9.4) mu g/m3, 11.0 (5.2) mu g/m3, and 7.1 (4.4) mu g/m3, respectively. Per IQR rise in exposure to PM2.5 was significantly associated with an increase of 0.133 mmol/L (95% confidence interval, 0.048-0.219) in glucose concentrations. Similar positive associations were observed for BC (0.097 mmol/L [0.012-0.181]), OM (0.160 mmol/L [0.065-0.256]), NO3 - (0.145 mmol/L [0.039-0.251]), SOq (0.111 mmol/L [0.026-0.196]), and NH4+ (0.135 mmol/L [0.041-0.230]). Under different diabetes definitions, PM2.5 mass and selected constituents with the exception of SO42-were all associated with a higher risk of prevalent diabetes. In MD-based analysis, similar positive associations were observed for four constituents, with corresponding odds ratios of 1.180 (1.097-1.270) for PM2.5, 1.154 (1.079-1.235) for BC, 1.170 (1.079-1.270) for OM, 1.200 (1.098-1.312) for NO3-, and 1.123 (1.037-1.215) for NH4+. Stratified analyses showed a significantly higher risk of diabetes in males (1.225 [1.064-1.411]) than females (1.024 [0.923-1.136]) when exposed to PM2.5. Participants under 65 years were generally more vulnerable to diabetes hazards related to PM2.5 constituents exposure.Conclusions: Exposures to PM2.5 and its constituents (i.e., BC, OM, NO3-, and NH4+) were positively associated with increased risks of prevalent diabetes and elevated glucose levels in middle-aged and older adults.
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页数:10
相关论文
共 68 条
[31]   Comparison of self-reported and biomedical data on hypertension and diabetes: findings from the China Health and Retirement Longitudinal Study (CHARLS) [J].
Ning, Meng ;
Zhang, Qiang ;
Yang, Min .
BMJ OPEN, 2016, 6 (01)
[32]   Diabetes enhances vulnerability to particulate air pollution - Associated impairment in vascular reactivity and endothelial function [J].
O'Neill, MS ;
Veves, A ;
Zanobetti, A ;
Sarnat, JA ;
Gold, DR ;
Economides, PA ;
Horton, ES ;
Schwartz, J .
CIRCULATION, 2005, 111 (22) :2913-2920
[33]   Air Pollution and Atherosclerosis: A Cross-Sectional Analysis of Four European Cohort Studies in the ESCAPE Study [J].
Perez, Laura ;
Wolf, Kathrin ;
Hennig, Frauke ;
Penell, Johanna ;
Basagana, Xavier ;
Foraster, Maria ;
Aguilera, Inmaculada ;
Agis, David ;
Beelen, Rob ;
Brunekreef, Bert ;
Cyrys, Josef ;
Fuks, Kateryna B. ;
Adam, Martin ;
Baldassarre, Damiano ;
Cirach, Marta ;
Elosua, Roberto ;
Dratva, Julia ;
Hampel, Regina ;
Koenig, Wolfgang ;
Marrugat, Jaume ;
de Faire, Ulf ;
Pershagen, Goran ;
Probst-Hensch, Nicole M. ;
de Nazelle, Audrey ;
Nieuwenhuijsen, Mark J. ;
Rathmann, Wolfgang ;
Rivera, Marcela ;
Seissler, Jochen ;
Schindler, Christian ;
Thiery, Joachim ;
Hoffmann, Barbara ;
Peters, Annette ;
Kuenzli, Nino .
ENVIRONMENTAL HEALTH PERSPECTIVES, 2015, 123 (06) :597-605
[34]   Global Chemical Composition of Ambient Fine Particulate Matter for Exposure Assessment [J].
Philip, Sajeev ;
Martin, Randall V. ;
van Donkelaar, Aaron ;
Lo, Jason Wai-Ho ;
Wang, Yuxuan ;
Chen, Dan ;
Zhang, Lin ;
Kasibhatla, Prasad S. ;
Wang, Siwen ;
Zhang, Qiang ;
Lu, Zifeng ;
Streets, David G. ;
Bittman, Shabtai ;
Macdonald, Douglas J. .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2014, 48 (22) :13060-13068
[35]   Mortality effects of a copper smelter strike and reduced ambient sulfate particulate matter air pollution [J].
Pope, C. Arden, III ;
Rodermund, Douglas L. ;
Gee, Matthew M. .
ENVIRONMENTAL HEALTH PERSPECTIVES, 2007, 115 (05) :679-683
[36]  
Quyyumi Arshed A., 1998, American Journal of Medicine, V105, p32S, DOI 10.1016/S0002-9343(98)00209-5
[37]   Particle air pollution and gestational diabetes mellitus in Houston, Texas [J].
Rammah, Amal ;
Whitworth, Kristina W. ;
Symanski, Elaine .
ENVIRONMENTAL RESEARCH, 2020, 190 (190)
[38]   Air Pollution as a Risk Factor for Type 2 Diabetes [J].
Rao, Xiaoquan ;
Patel, Priti ;
Puett, Robin ;
Rajagopalan, Sanjay .
TOXICOLOGICAL SCIENCES, 2015, 143 (02) :231-241
[39]   Associations between long-term exposure to air pollution, glycosylated hemoglobin, fasting blood glucose and diabetes mellitus in northern France [J].
Riant, Margaux ;
Meirhaeghe, Aline ;
Giovannelli, Jonathan ;
Occelli, Florent ;
Havet, Anais ;
Cuny, Damien ;
Amouyel, Philippe ;
Dauchet, Luc .
ENVIRONMENT INTERNATIONAL, 2018, 120 :121-129
[40]  
Rogler Gerhard, 2016, Inflamm Intest Dis, V1, P1, DOI 10.1159/000445258