Air pollution and blood pressure in the elderly: evidence from a panel study in Nanjing, China.

Air pollution and blood pressure in the elderly: evidence from a panel study in Nanjing, China.
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空气污染与老年人血压:来自中国南京的一项小组研究的证据

DOI:
10.1016/j.heliyon.2022.e10539
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发表时间:
2022-09
期刊:
影响因子:
4
通讯作者:
Li, Zhaoyuan
Li, Zhaoyuan
中科院分区:
综合性期刊4区
文献类型:
--
作者:
Lin, Yang-Chi-Dung;Cai, Yutong;Huang, Hsi-Yuan;Liang, Donghai;Li, Jing;Tang, Yun;Hong, Hsiao-Chin;Yan, Qiting;Huang, Hsien-Da;Li, Zhaoyuan

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众所周知,空气污染对人类健康有显著的负面影响。最近,空气污染对老年人血压的影响引起了研究人员的关注。然而,现有的证据并不一致,因为文献中提出了积极的、无效的和消极的结果。在这项研究中,我们通过一项小组研究,在特定的老年人群中调查了血压与空气污染物指数(PM2.5、PM10和空气质量指数)的关系,以解决这一知识差距。中国,2017年1月至2019年5月,我们在南京对619名老年人进行了重复的血压测量,共记录了5106条记录。获得了环境空气污染物的日指数,包括空气动力学直径为2.5米(PM2.5)、10米(PM10)的细颗粒物,以及同期的空气质量指数(AQI)。在测量BP之前,我们评估了BP与过去一周、两周和四周的空气污染物平均浓度之间的关联。使用具有固定效应和混合效应的非线性面板回归模型来控制年龄、性别和温度。在非线性面板固定效应模型中,PM2.5的平均浓度与所有滞后时的收缩压(SBP)显著相关,但仅在滞后一周时与舒张压(DBP)显著相关。一周平均移动PM2.5(38.86μg/m~3)的四分位数范围增加使收缩压和舒张压分别增加7.68%和6.9%。PM10对血压的影响模式与PM2.5相同。AQI与BP的相关性不那么显著。在非线性混合效应模型中,PM2.5和PM10的平均浓度在所有滞后时与SBP显著相关,但在一周和两周滞后时对DBP没有显著影响。AQI仅在滞后一周时与DBP显著相关。暴露在环境颗粒物(PM2.5和PM10)中与老年人血压升高有关,这表明空气污染与高血压的高患病率之间存在潜在联系。空气污染是公认的未来心血管疾病的危险因素,应该减少,以预防老年人中的高血压。空气污染;小组研究;老年人口。
Air pollution is known to have notable negative effects on human health. Recently, the effect of air pollution on blood pressure among the elderly has attracted researchers’ attention. However, the existing evidence is not consistent, given that positive, null, and negative outcomes are presented in the literature. In this study, we investigated the relationship between blood pressure (BP) and indices of air pollutants (PM2.5, PM10, and air quality index) in a specific elderly population through a panel study to address this knowledge gap. We obtained repeated BP measurements from January 2017 to May 2019 in a panel of 619 elderly with a total of 5106 records in Nanjing, China. Data on daily indices of ambient air pollutants, including fine particulate matter with an aerodynamic diameter of 2.5 m (PM2.5), 10 m (PM10), and air quality index (AQI) of the same period were obtained. We evaluated the association between BP and average concentrations of air pollutants in the past one-week, two-week, and four-week lags before measuring the BP. The non-linear panel regression models were used with fixed- and mixed-effects to control age, gender, and temperature. In the non-linear panel fixed-effects model, the average concentration of PM2.5 is significantly associated with systolic BP (SBP) at all lags but is only significantly correlated with diastolic BP (DBP) at a one-week lag. An interquartile range (IQR) increase of one-week average moving PM2.5 (38.86 μg/m3) of our sample increases the SBP and DBP by 7.68% and 6.9%, respectively. PM10 shows the same pattern of effect on BP as PM2.5. AQI shows less significant associations with BP. In the non-linear mixed-effects model, the average concentrations of PM2.5 and PM10 are significantly associated with SBP at all lags but have no significant effect on DBP at one- and two-week lags. AQI is only significantly associated with DBP at a one-week lag. Exposures to ambient particulate matter (PM2.5 and PM10) were associated with increased BP among older people, indicating a potential link between air pollution and the high prevalence of hypertension. Air pollution is a well-recognized risk factor for future cardiovascular diseases and should be reduced to prevent hypertension among the elderly. Air pollution; Panel study; Elderly population.
DOI: 10.1186/s40064-016-3227-9
发表时间: 2016
期刊: SpringerPlus
影响因子: --
作者:
Olujimi OO;Ana GR;Ogunseye OO;Fabunmi VT
通讯作者: Fabunmi VT
DOI: 10.1016/j.pop.2018.10.005
发表时间: 2019-03-01
期刊: PRIMARY CARE
影响因子: 1.9
作者:
Perumareddi, Parvathi
通讯作者: Perumareddi, Parvathi
DOI: 10.1016/j.envres.2018.02.008
发表时间: 2018-07
影响因子: 8.3
作者:
Honda T;Pun VC;Manjourides J;Suh H
通讯作者: Suh H
DOI: 10.1097/ede.0000000000000418
发表时间: 2016-03
期刊: Epidemiology (Cambridge, Mass.)
影响因子: --
作者:
Coogan PF;White LF;Yu J;Burnett RT;Seto E;Brook RD;Palmer JR;Rosenberg L;Jerrett M
通讯作者: Jerrett M
DOI: 10.1016/s0140-6736(15)00128-2
发表时间: 2015-12-05
期刊: Lancet (London, England)
影响因子: --
作者:
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通讯作者: Murray CJ