Acute effect of particulate matter pollution on hospital admissions for cause-specific respiratory diseases among patients with and without type 2 diabetes in Beijing, China, from 2014 to 2020

Abstract Background: The health effect of particulate matter pollution on stroke has been widely examined; however, the effect among patients with comorbid type 2 diabetes (T2D) in developing countries has remained largely unknown.Methods: A time-series study was conducted to investigate the short-term effect of fine particulate matter (PM2.5) and inhalable particulate matter (PM10) on hospital admissions for stroke among patients with T2D in Beijing, China, from 2014 to 2018. An over-dispersed Poisson generalized additive model was employed to adjust for important covariates, such as weather conditions and long-term and seasonal trends. Results: A total of 159,298 (58% male) hospital admissions for stroke were reported. Linear exposure-response curves were observed for PM2.5 and PM10 in relation to stroke admissions among T2D patients. A 10 μg/m3 increase in the four-day moving average of PM2.5 and PM10 was associated with 0.14% (95% confidence interval [CI]: 0.05%-0.23%) and 0.14% (95% CI: 0.06%-0.22%) incremental increases in stroke admissions among T2D patients, respectively. A 10 μg/m3 increase in PM2.5 in the two-day moving average corresponded to a 0.72% (95% CI: 0.02%-1.42%) incremental increase in hemorrhagic stroke, and a 10 μg/m3 increase in PM10 in the four-day moving average corresponded to a 0.14% (95% CI: 0.06%-0.22%) incremental increase in ischemic stroke. Conclusions: High particulate matter might be a risk factor for stroke among patients with T2D. PM2.5 and PM10 have a linear exposure-response relationship with stroke among T2D patients. The study provided evidence of the risk of comorbid T2D and stroke due to particulate matter pollution.

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Fine Particulate Matter Pollution and Hospital Admissions for Respiratory Diseases in Beijing, China

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph120911880 ◽

2015 ◽

Vol 12 (9) ◽

pp. 11880-11892 ◽

Cited By ~ 19

Author(s):

Qiulin Xiong ◽

Wenji Zhao ◽

Zhaoning Gong ◽

Wenhui Zhao ◽

Tao Tang

Keyword(s):

Particulate Matter ◽

Respiratory Diseases ◽

Hospital Admissions ◽

Fine Particulate Matter ◽

Fine Particulate ◽

Beijing China ◽

Particulate Matter Pollution

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Chemical components of respirable particulate matter associated with emergency hospital admissions for type 2 diabetes mellitus in Hong Kong

Environment International ◽

10.1016/j.envint.2016.10.022 ◽

2016 ◽

Vol 97 ◽

pp. 93-99 ◽

Cited By ~ 11

Author(s):

Shengzhi Sun ◽

Hong Qiu ◽

Kin-Fai Ho ◽

Linwei Tian

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Hong Kong ◽

Particulate Matter ◽

Hospital Admissions ◽

Chemical Components ◽

Emergency Hospital ◽

Respirable Particulate

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Age-Period-Cohort Analysis of Type 2 Diabetes Mortality Attributable to Particulate Matter Pollution in China and the U.S.

Journal of Diabetes Research ◽

10.1155/2020/1243947 ◽

2020 ◽

Vol 2020 ◽

pp. 1-8

Author(s):

Xiaoxue Liu ◽

Maigeng Zhou ◽

Chuanhua Yu ◽

Zhi-Jiang Zhang

Keyword(s):

Type 2 Diabetes ◽

Particulate Matter ◽

Cohort Analysis ◽

Mortality Rates ◽

Pollutant Emission ◽

Period Effect ◽

Diabetes Mortality ◽

The U.S ◽

Particulate Matter Pollution

Aim. We aimed to assess and compare secular trends in type 2 diabetes mortality attributable to particulate matter pollution in China and U.S. Methods. We performed an age-period-cohort (APC) analysis to estimate the independent effects of age, period, and cohort on mortality of type 2 diabetes attributable to particulate matter pollution. We collected age-standardized and age-specific mortality rates (1990-2017) from the Global Burden of Disease 2017 Study for China and the U.S. Results. During the period 1990-2017, the age-standardized mortality rates of type 2 diabetes attributable to particulate matter pollution in China showed a general increasing trend, while that in U.S. showed an increase before 2002 and subsequently a decrease. The age effect increased markedly in China compared with the U.S. The period effect showed a substantially increase in China while that in the U.S. increased during 1990-2007 and tended to be stable during 2007-2017. The cohort effect peaked in birth cohort born in 1902–1906 in both China and U.S. and declined consistently in the cohort born in 1992-1996. Conclusions. The age-standardized mortality rates of type 2 diabetes attributable to particulate matter pollution, the age, and period effect in China have been increasing in both sexes from 1990 to 2017. The overall mortality in the U.S. began to decrease since 2003, and the period effect showed a tendency to stabilize. Consequently, it is necessary to educate the nation with the correct knowledge and adopting policies on pollutant emission and techniques to reduce air pollution in China.

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Estimates of Type 2 Diabetes Mellitus Burden Attributable to Particulate Matter Pollution and Its 30-Year Change Patterns: A Systematic Analysis of Data From the Global Burden of Disease Study 2019

Frontiers in Endocrinology ◽

10.3389/fendo.2021.689079 ◽

2021 ◽

Vol 12 ◽

Author(s):

Ying Wu ◽

Rongguo Fu ◽

Chen Lei ◽

Yujiao Deng ◽

Weiyang Lou ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Air Pollution ◽

Type 2 Diabetes Mellitus ◽

Particulate Matter ◽

Burden Of Disease ◽

Global Burden ◽

Disease Study ◽

Particulate Matter Pollution

BackgroundEpidemiological trends of type 2 diabetes mellitus attributable to fine particulate matter (PM2.5) pollution remain unclear. Here, we estimated spatiotemporal trends of type 2 diabetes mellitus burden attributable to PM2.5 pollution, including ambient particulate matter pollution (APMP) and household air pollution (HAP), from 1990–2019.MethodsData were obtained from the Global Burden of Disease Study 2019 and were analyzed by age, sex, year, and location. Joinpoint regression analysis was applied in the analysis of temporal trends in type 2 diabetes mellitus burden over the 30 years.ResultsGlobally, PM2.5 pollution contributed to 292.5 thousand deaths and 13 million disability-adjusted life-years (DALYs) in 2019. APMP ranked third among all risk factors, causing an increase in type 2 diabetes mellitus burden from 1990, whereas the impact of HAP significantly fell during the same period. Both APMP and HAP contributed the most to deaths and DALYs of type 2 diabetes mellitus among older people. However, the age-standardized death and DALY rates of type 2 diabetes mellitus attributable to APMP were greater among males and people in the middle socio-demographic index countries, especially in Southern Sub-Saharan Africa. For HAP, type 2 diabetes mellitus burden was modestly higher in females and was highest in Oceania, which was the only region with an increase from 1990.ConclusionsPM2.5 pollution resulted in substantial and increasing type 2 diabetes mellitus burden worldwide. Hence, governments and health systems should take steps to reduce air pollution to mitigate this increasing burden.

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