清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

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

糖尿病 四分位间距 医学 环境卫生 人口学 2型糖尿病 内科学 内分泌学 社会学
作者
Peixuan Zhou,Shaocai Mo,Minjin Peng,Zhiming Yang,Feng Wang,Kejia Hu,Yi Zhang
出处
期刊:Ecotoxicology and Environmental Safety [Elsevier BV]
卷期号:245: 114096-114096
标识
DOI:10.1016/j.ecoenv.2022.114096
摘要

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 [SO42-], and ammonium [NH4+]) with diabetes and glucose levels among the middle-aged and elderly Chinese populations.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.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-, SO42-, and NH4+ were 47.9 (27.4) µg/m3, 2.9 (2.2) µg/m3, 9.2 (6.6) µg/m3, 10.2 (9.4) µg/m3, 11.0 (5.2) µg/m3, and 7.1 (4.4) µg/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]), SO42- (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.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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
MingY完成签到,获得积分10
9秒前
棉裤完成签到,获得积分10
10秒前
搜集达人应助热心的不悔采纳,获得10
10秒前
怕黑明雪完成签到,获得积分10
11秒前
77完成签到,获得积分10
12秒前
刘雯完成签到,获得积分10
13秒前
不喝汽水完成签到 ,获得积分10
19秒前
28秒前
zhangsenbing发布了新的文献求助10
36秒前
爱大美完成签到,获得积分20
41秒前
爱大美发布了新的文献求助10
45秒前
爆米花应助爱大美采纳,获得10
1分钟前
nk完成签到 ,获得积分10
1分钟前
鲤鱼安青完成签到 ,获得积分10
1分钟前
1分钟前
卜哥完成签到 ,获得积分10
1分钟前
追梦完成签到,获得积分10
1分钟前
小马甲应助ABO采纳,获得10
1分钟前
称心映寒完成签到 ,获得积分10
1分钟前
风中的怜阳完成签到,获得积分0
1分钟前
新手完成签到 ,获得积分10
1分钟前
1分钟前
共享精神应助自由微笑采纳,获得10
1分钟前
棠臻完成签到 ,获得积分10
2分钟前
呆萌灵珊完成签到 ,获得积分10
2分钟前
woods发布了新的文献求助10
2分钟前
JYCKLTY完成签到,获得积分10
2分钟前
3分钟前
Copyright应助woods采纳,获得30
3分钟前
3分钟前
qianci2009完成签到,获得积分0
3分钟前
3分钟前
默默问芙完成签到,获得积分10
3分钟前
3分钟前
田田完成签到 ,获得积分10
4分钟前
自由微笑发布了新的文献求助10
4分钟前
Akim应助自由微笑采纳,获得10
4分钟前
ljlwh完成签到 ,获得积分10
4分钟前
手术刀完成签到 ,获得积分10
4分钟前
昴星引路完成签到 ,获得积分10
4分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Periodic Report Summary 2 - AFTER (A Framework for electrical power sysTems vulnerability identification, dEfense and Restoration) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7318296
求助须知:如何正确求助?哪些是违规求助? 8934058
关于积分的说明 18938329
捐赠科研通 6977285
什么是DOI,文献DOI怎么找? 3214245
关于科研通互助平台的介绍 2382172
邀请新用户注册赠送积分活动 2193201