Acute effect of ambient air pollution on hospitalization in patients with hypertension: A time-series study in Shijiazhuang, China

Song, Jie; Lu, Mengxue; Lü, Jianguo; Chao, Ling; An, Zhen; Liu, Yue; Xu, Dongqun; Wu, Weidong

doi:10.1016/j.ecoenv.2018.11.125

Cited by 52 publications

(27 citation statements)

References 40 publications

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“…(Franklin et al 2015; Rajagopalan et al 2018).The seasonal analysis shows that the effect of most air pollutants on hospital visits for CVDs is stronger in the cold season than in the warm season except for O 3 . The results are consistent with previous studies(Song et al 2019;Tong et al 2014;Ye et al 2016). Like our study, a previous study(Brook and Kousha 2015) also found that the effect of O 3 on CVDs is also more pronounced in the warm season rather than in the cold season.…”

supporting

confidence: 94%

Association Between Ambient Air Pollution And Daily Hospital Visits For Cardiovascular Diseases In Wuhan, China: A Time-Series Analysis Based On Medical Insurance Data.

Meng

Liu

Hao

et al. 2021

Preprint

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Although a large number of studies have proved the adverse effects of exposure to air pollution on cardiovascular disease, few studies have done such research focusing on the medically insured population, a group of relatively healthier people representing the working population. We used generalized additive model (GAM) to estimate the short-term effects of ambient air pollution on CVDs in Wuhan, China. We extracted daily air pollution data, meteorological data, and daily hospital visits for CVDs (including hypertension, coronary heart disease [CHD], and heart disease [HD]) from November 1st, 2013 to October 31st, 2018. For each increase of 10 μg/m3 in SO2, NO2, PM10, and PM2.5, the relative risks (RRs) of daily hospital visits for hypertension increased by 3.8% (95% confidence interval [CI]: 1.8%, 5.9%), 2.5% (95% CI: 1.9%, 3.2%), 0.5% (95% CI: 0.2%, 0.7%), and 0.7% (95% CI: 0.3%, 1.1%) at lag 0, respectively; For CHD, the RRs increased by 3.6% (95% CI: 1.8%, 5.5%), 2.6% (95% CI: 1.9%, 3.4%), 0.4% (95% CI: 0.1%, 0.7%), and 0.5% (95% CI: 0.1%, 0.9%) at lag 0, respectively; For HD, the RRs increased by 3.6% (95%CI: 1.4%, 5.8%), 2.1% (95%CI: 1.4%, 2.7%), 0.3% (95%CI: 0.1%, 0.6%), and 0.4% (95%CI: 0, 0.8%) at lag 0, respectively. We found that the influence of air pollution on daily hospital visits for CVDs is greater in the cold season than in the warm season. The results indicate that NO2 and SO2 may be potential confounders for co-pollutants in the multi-pollutant model. In conclusion, air pollutants including SO2, NO2, PM10, and PM2.5 may be associated with the risk of hypertension, CHD, and HD. Our findings not only can be used as reference for studying the financing and the allocation of medical resources in the future, but also served as a piece of evidence that supports the policymaking on air pollution and CVDs.

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supporting

confidence: 94%

Association Between Ambient Air Pollution And Daily Hospital Visits For Cardiovascular Diseases In Wuhan, China: A Time-Series Analysis Based On Medical Insurance Data.

Meng

Liu

Hao

et al. 2021

Preprint

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“…Accordingly, toxic particle concentrations are at the heart of premature deaths in polluted cities and call for core solutions (Kim et al, 2015). For instance, Song et al (2019) estimated that when the concentration of PM 2.5 , PM 10 , NO 2 , O 3 , and CO increases by 10 μg/m 3 in North China cities, the number of people hospitalized for hypertension raises by 0.56%, 0.31%, 1.18%, 0.40% and 0.03%, respectively. Goodkind et al (2020) analyzed the Bitcoin economic, health and climate damages linked with air pollution emissions.…”

Section: Introductionmentioning

confidence: 99%

Assessing a fossil fuels externality with a new neural networks and image optimisation algorithm: the case of atmospheric pollutants as confounders to COVID-19 lethality

2021

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“…Xu et al in Shanghai, China observed a greater effect of PM 10 on the risk of IHD in males compared to females 39 . Song et al in Shijiazhuang also pointed out that particulate matter had stronger effects in men 43 . This may be due to the fact that outdoor workers are usually males, and compared with women, they usually have lower personal protective intentions (such as wearing masks) 44 , 45 .…”

Section: Discussionmentioning

confidence: 95%

Association between PM10 and specific circulatory system diseases in China

Zhang

Feng

et al. 2021

Sci Rep

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Particulate matter (PM) has been proved to be a risk factor for the development of circulatory system diseases (CSDs) around the world. In this study, we collected daily air pollutants, emergency room (ER) visits for CSDs, and meteorological data from 2009 to 2012 in Beijing, China. After controlling for the long-term trend and eliminating the influence of confounding factors, the generalized additive model (GAM) was used to evaluate the short-term effects of PM10 on CSDs and cause-specific diseases. The results showed that for every 10 μg/m3 increase in PM10, the largest effect estimates in ER visits of total CSDs, arrhythmia, cerebrovascular diseases, high blood pressure, ischemic heart disease and other related diseases were 0.14% (95% CI: 0.06–0.23%), 0.37% (95% CI: − 0.23 to 0.97%), 0.20% (95% CI: 0.00–0.40%), 0.15% (95% CI: 0.02–0.27%), 0.18% (95% CI: 0.02–0.35%) and 0.35% (95% CI: − 0.04 to 0.79%), respectively. When NO2 or SO2 was added into the model, the effect estimates of PM10 were mostly attenuated, while in those models with PM2.5 added, the effect estimates of PM10 were mostly increased. Stratified analysis indicated that PM10 had a greater effect on males and the elderly.

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Acute effect of ambient air pollution on hospitalization in patients with hypertension: A time-series study in Shijiazhuang, China

Cited by 52 publications

References 40 publications

Association Between Ambient Air Pollution And Daily Hospital Visits For Cardiovascular Diseases In Wuhan, China: A Time-Series Analysis Based On Medical Insurance Data.

Association Between Ambient Air Pollution And Daily Hospital Visits For Cardiovascular Diseases In Wuhan, China: A Time-Series Analysis Based On Medical Insurance Data.

Assessing a fossil fuels externality with a new neural networks and image optimisation algorithm: the case of atmospheric pollutants as confounders to COVID-19 lethality

Association between PM10 and specific circulatory system diseases in China

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