Association between Particulate Matter Pollution Concentration and Hospital Admissions for Hypertension in Ganzhou, China

Li, Chenwei; Zhou, Xingye; Huang, Kun; Zhang, Xiaokang; Gao, Yanfang

doi:10.1155/2022/7413115

Cited by 3 publications

(5 citation statements)

References 34 publications

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“…Regardless of separate assessments without considering the multi-collinearity of all pollutants in most previous studies, there were some similarities between our results and others on different populations. For example, a study conducted in Ganzhou, China, using a time-series model reported that in single-pollutant models, a 10 μg/m 3 increase in PM 10 on the lag day 60 and SO 2 at lag 62 days was significantly associated with 4.46% (95% CI: 2.86%–5.65%) and 10.99% (95% CI: 5.98%–16.23%) increase in the number of hospitalizations for hypertension (ICD-10: I10–I13), respectively during the years between 2016 and 2020 ( Li et al, 2022a ). Our findings are in line with the results of this study.…”

Section: Discussionmentioning

confidence: 96%

“…Furthermore, hypertension was the most predominant risk factor for all morbidity and mortality due to CVDs in Isfahan, Iran, indicating the highest attributable risks ( Sarrafzadegan et al, 2011 ; Sadeghi et al, 2014 ). Various factors, including lifestyle (physical activity, diet, and smoking), genetics, and the environment, are major contributors to hypertension ( Leung et al, 2019 ; Qin et al, 2021 ; Li et al, 2022a ).…”

Section: Introductionmentioning

confidence: 99%

“…Findings derived from previous studies demonstrated that short-, mid-, and long-term exposure to some gaseous and particulate air pollutants were significantly associated with an increased risk of hospital admissions for hypertension on various lag patterns. However, there is an inconsistency between the effect of some ambient air pollutants and the risk of hypertension ( Arbex et al, 2010 ; Guo et al, 2010 ; Szyszkowicz et al, 2012 ; Brook and Kousha, 2015 ; Chen and Yang, 2018 ; Tsai et al, 2018 ; Song et al, 2019 ; Li et al, 2022a ).…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, since air quality includes several components and people encounter multiple pollutants in real-life situations, the potentially harmful health effects of air pollutants occur in the context of multi-pollutant; therefore, the impacts of several pollutants should be investigated together. However, most previous studies focused mainly on single- or two-pollutants models assessing air pollution without considering the potential effects of multiple pollutants or any adjustment for multi-collinearity ( Tsai et al, 2018 ; Yang et al, 2018 ; Qin et al, 2021 ; Li et al, 2022a ).…”

Section: Introductionmentioning

confidence: 99%

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Effects of sulfur dioxide and particulate matter pollution on hospital admissions for hypertensive cardiovascular disease: A time series analysis

Nouri

Taheri²,

Ziaddini³

et al. 2023

Front. Physiol.

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Background and aims: Air pollution is a major environmental risk factor and the leading cause of disease burden with detrimental effects on cardiovascular systems. Cardiovascular diseases are predisposed by various risk factors, including hypertension, as the most important modifiable risk factor. However, there is a lack of sufficient data concerning the impact of air pollution on hypertension. We sought to study the associations of short-term exposure to Sulfur dioxide (SO2) and particulate matter (PM10) with the number of daily hospital admissions of hypertensive cardiovascular diseases (HCD).Methods: All hospitalized patients between March 2010 to March 2012 were recruited with the final diagnosis of HCD based on the International Classification of Diseases 10 (codes: I10-I15) from 15 hospitals in Isfahan, one of the most polluted cities in Iran. The 24-hour average concentrations of pollutants were obtained from 4 monitoring stations. In addition to single- and two-pollutant models, we used Negative Binomial and Poisson models with covariates of holidays, dew point, temperature, wind speed, and extracted latent factors of other pollutants controlling for multi-collinearity to examine the risk for hospital admissions for HCD affected by SO2 and PM10 exposures in the multi-pollutant model.Results: A total of 3132 hospitalized patients (63% female) with a mean (standard deviation) age of 64.96 (13.81) were incorporated in the study. The mean concentrations of SO2 and PM10 were 37.64 μg/m3 and 139.08 μg/m3, respectively. Our findings showed that a significantly increased risk of HCD-induced hospital admission was detected for a 10 μg/m3 increase in the 6-day and 3-day moving average of SO2 and PM10 concentrations in the multi-pollutant model with a percent change of 2.11% (95% confidence interval: 0.61 to 3.63%) and 1.19% (0.33 to 2.05%), respectively. This finding was robust in all models and did not vary by gender (for SO2 and PM10) and season (for SO2). However, people aged 35-64 and 18-34 years were vulnerable to SO2 and PM10 exposure-triggered HCD risk, respectively.Conclusions: This study supports the hypothesis of the association between short-term exposure to ambient SO2 and PM10 and the number of hospital admissions due to HCD.

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Section: Discussionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effects of sulfur dioxide and particulate matter pollution on hospital admissions for hypertensive cardiovascular disease: A time series analysis

Nouri

Taheri²,

Ziaddini³

et al. 2023

Front. Physiol.

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“…Li et al (2022) proved that air pollution concentrations significantly affected the number of hospitalizations for hypertension approximately 2 months after exposure. For each 10 μg/m 3 increase in PM2.5 and PM10 in single-pollutant models, the number of hospitalizations for hypertension increased by 7.92% and 4.46%, respectively [16].…”

Section: Relationships Of Microclimate Variables and Air Pollution Pa...mentioning

confidence: 96%

Assessment of indoor air quality of the furniture manufacturers in Binh Duong industrial parks, Vietnam

Pham,

Nguyen,

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Wood furniture and related products are created from raw wood and or wood products that require cutting, sanding, and other handling activities that generate wood dust. Exposure to indoor factory air pollutants can have significant health consequences for workers and nearby communities. Therefore, it was necessary to implement the assessment of indoor air quality in furniture manufacturers. This study mainly aimed to assess the indoor air quality status of physical and chemical aspects at 3 different furniture factories. Each sample was analysed for eight parameters including TSP, PM10, PM2.5, noise, temperature, humidity, wind, and light. Sampling and sample handling techniques were performed based on the usage test methods of Vietnam standards. The concentrations of TSP (194 – 493 μg/m3), PM10 (106.7 – 153.8 μg/m3), PM2.5 (72.8 – 95.6 μg/m3); and, the variables of noise (70.4 – 80.3 dBA), temperature (29.4 – 32.4 °C), humidity (58.0 – 69.4 %), wind (0.29 – 0.49) and light (327 – 573) these considered at 3 furniture manufacturers were within the allowable thresholds of QCVN 02:2019/BYT (Permissible exposure limit value of dust at the workplace), QCVN24:2016/BYT (Permissible exposure levels of noise in the workplace), QCVN26:2016/BYT (Permissible value of microclimate in the workplace); and, QCVN22:2016/BYT (Permissible levels of lighting in the workplace). However, long-term direct exposure of workers to these pollutants would also result in potential health risks. This study also suggested the management and technical control solutions to contribute to improving air quality for furniture manufacturers.

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Association between air pollution and hypertension hospitalizations: a time series analysis in Lanzhou

Zhu,

Liu,

et al. 2024

BMC Public Health

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Background Air pollution is a major environmental risk factor. Hypertension is one of the most important modifiable risk factors for cardiovascular diseases. However, few studies have evaluated the impact of exposure to ambient air pollution on hypertension hospitalizations. Objective This study aims to explore the correlation between exposure to air pollution and hospital admissions for hypertension, to evaluate the short-term effects of air pollution on hypertension hospitalizations and its lag effects. Methods We collected air pollution concentration and hypertension hospitalization data from 2013 to 2020. Distributed lag non-linear models were employed to assess the impact of air pollution on hypertension hospitalizations in Lanzhou City. We also performed subgroup analyses and sensitivity analyses. Results A total of 47,884 cases of hypertension hospitalizations were included. Short-term exposure to NO 2 and CO increased the risk of hypertension hospitalization. For each 10 µg/m 3 increase in NO 2 and each 1 mg/m 3 increase in CO, the relative risk (RR) for hypertension hospitalization were highest at lag0-3 (RR: 1.0427; 95% CI: 1.0196, 1.0663) and lag3 (RR: 1.0986; 95% CI: 1.0350, 1.1661), respectively. SO 2 at different lag structures showed opposite effects on hypertension hospitalization. O 3 was significantly negatively associated with hypertension hospitalization. No correlation was observed between PM 2.5 and PM 10 and hypertension hospitalization. Females and individuals aged ≥ 65 were more susceptible to air pollution. The harmful effects of air pollution are greater in the cold season. Conclusion Short-term exposure to ambient air pollution increases risk of hypertension hospitalization. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-024-20740-1.

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Association between Particulate Matter Pollution Concentration and Hospital Admissions for Hypertension in Ganzhou, China

Cited by 3 publications

References 34 publications

Effects of sulfur dioxide and particulate matter pollution on hospital admissions for hypertensive cardiovascular disease: A time series analysis

Effects of sulfur dioxide and particulate matter pollution on hospital admissions for hypertensive cardiovascular disease: A time series analysis

Assessment of indoor air quality of the furniture manufacturers in Binh Duong industrial parks, Vietnam

Association between air pollution and hypertension hospitalizations: a time series analysis in Lanzhou

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