The effects of PM2.5 components on the cardiovascular disease admissions in Shanghai City, China: a multi- region study
Abstract Background The burden of cardiovascular disease (CVD) is severe worldwide. Although many studies have investigated the association of particulate pollution with CVD, the effect of finer particulate pollution components on CVD remains unclear. This study aimed to explore the effect of five P...
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BMC
2024-12-01
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| Online Access: | https://doi.org/10.1186/s12889-024-21179-0 |
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| author | Wanying Su Heping Liu Tiantian Han Yunyun Wang Yi An Yan Lin |
| author_facet | Wanying Su Heping Liu Tiantian Han Yunyun Wang Yi An Yan Lin |
| author_sort | Wanying Su |
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| description | Abstract Background The burden of cardiovascular disease (CVD) is severe worldwide. Although many studies have investigated the association of particulate pollution with CVD, the effect of finer particulate pollution components on CVD remains unclear. This study aimed to explore the effect of five PM2.5 components ( $$\:{\text{SO}}_{\text{4}}^{\text{2-}}$$ , sulfate; $$\:{\text{NO}}_{\text{3}}^{\text{-}}$$ , nitrate; $$\:{\text{NH}}_{\text{4}}^{\text{+}}$$ , ammonium; OM, organic matter; BC, carbon black) on CVD admission in Shanghai City, identify the susceptible population, and provide clues for the prevention and control of particulate pollution. Methods Daily PM2.5 components data during 2013–2019 in three districts of Shanghai were obtained from Tracking Air Pollution in China. We obtained CVD daily admissions data from relevant departments of Tongji Hospital, including basic information (sex, age, time of admissions, ICD code of root cause of admissions, etc.). First, generalized additive model (GAM) and distributed lag non-linear (DLNM) model were used to evaluate the individual effects of PM2.5 components on CVD admission in three districts of Shanghai. Then, the three regions were pooled for analysis using either a random-effects model or a fixed-effects model. Results Overall, all five PM2.5 components had significant effects on CVD admission risk. BC and OM were strongly associated with daily CVD admissions, with increasing interquartile range of the concentrations, the maximum values of cumulative RR (95% CI) were 1.318 (95%CI: 1.222–1.415) and 1.243 (95%CI: 1.164–1.322), respectively. The elderly (≥ 65 years old) was more sensitive to the four PM2.5 components than the young population. $$\:{\text{SO}}_{\text{4}}^{\text{2-}}$$ and BC were strongest associated with CVD admissions in the elderly than in younger people, with increasing interquartile range of the concentrations, the maximum cumulative RR (95% CI) was 1.567 (95% CI: 1.116–2.019) and 1.534 (95% CI: 1.104–1.963), respectively. Conclusions This study found that five PM2.5 components were significant risk factors for CVD admissions and specific CVD diseases in Shanghai City. The elderly were susceptible to $$\:{\text{SO}}_{\text{4}}^{\text{2-}}$$ , $$\:{\text{\:NH}}_{\text{4}}^{\text{+}}$$ , OM, and BC. |
| format | Article |
| id | doaj-art-ad3d71b1ff8b4af2ae2dd51a45c0bee9 |
| institution | Kabale University |
| issn | 1471-2458 |
| language | English |
| publishDate | 2024-12-01 |
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| spelling | doaj-art-ad3d71b1ff8b4af2ae2dd51a45c0bee92025-01-05T12:49:06ZengBMCBMC Public Health1471-24582024-12-012411910.1186/s12889-024-21179-0The effects of PM2.5 components on the cardiovascular disease admissions in Shanghai City, China: a multi- region studyWanying Su0Heping Liu1Tiantian Han2Yunyun Wang3Yi An4Yan Lin5Department of Hospital Infection Control, Tongji Hospital, School of Medicine, Tongji UniversityDepartment of Hospital Infection Control, Tongji Hospital, School of Medicine, Tongji UniversityDepartment of Hospital Infection Control, Tongji Hospital, School of Medicine, Tongji UniversityDepartment of Hospital Infection Control, Tongji Hospital, School of Medicine, Tongji UniversityDepartment of Hospital Infection Control, Tongji Hospital, School of Medicine, Tongji UniversityDepartment of Hospital Infection Control, Tongji Hospital, School of Medicine, Tongji UniversityAbstract Background The burden of cardiovascular disease (CVD) is severe worldwide. Although many studies have investigated the association of particulate pollution with CVD, the effect of finer particulate pollution components on CVD remains unclear. This study aimed to explore the effect of five PM2.5 components ( $$\:{\text{SO}}_{\text{4}}^{\text{2-}}$$ , sulfate; $$\:{\text{NO}}_{\text{3}}^{\text{-}}$$ , nitrate; $$\:{\text{NH}}_{\text{4}}^{\text{+}}$$ , ammonium; OM, organic matter; BC, carbon black) on CVD admission in Shanghai City, identify the susceptible population, and provide clues for the prevention and control of particulate pollution. Methods Daily PM2.5 components data during 2013–2019 in three districts of Shanghai were obtained from Tracking Air Pollution in China. We obtained CVD daily admissions data from relevant departments of Tongji Hospital, including basic information (sex, age, time of admissions, ICD code of root cause of admissions, etc.). First, generalized additive model (GAM) and distributed lag non-linear (DLNM) model were used to evaluate the individual effects of PM2.5 components on CVD admission in three districts of Shanghai. Then, the three regions were pooled for analysis using either a random-effects model or a fixed-effects model. Results Overall, all five PM2.5 components had significant effects on CVD admission risk. BC and OM were strongly associated with daily CVD admissions, with increasing interquartile range of the concentrations, the maximum values of cumulative RR (95% CI) were 1.318 (95%CI: 1.222–1.415) and 1.243 (95%CI: 1.164–1.322), respectively. The elderly (≥ 65 years old) was more sensitive to the four PM2.5 components than the young population. $$\:{\text{SO}}_{\text{4}}^{\text{2-}}$$ and BC were strongest associated with CVD admissions in the elderly than in younger people, with increasing interquartile range of the concentrations, the maximum cumulative RR (95% CI) was 1.567 (95% CI: 1.116–2.019) and 1.534 (95% CI: 1.104–1.963), respectively. Conclusions This study found that five PM2.5 components were significant risk factors for CVD admissions and specific CVD diseases in Shanghai City. The elderly were susceptible to $$\:{\text{SO}}_{\text{4}}^{\text{2-}}$$ , $$\:{\text{\:NH}}_{\text{4}}^{\text{+}}$$ , OM, and BC.https://doi.org/10.1186/s12889-024-21179-0Cardiovascular diseasePM2.5 componentsMulti- region studyChina |
| spellingShingle | Wanying Su Heping Liu Tiantian Han Yunyun Wang Yi An Yan Lin The effects of PM2.5 components on the cardiovascular disease admissions in Shanghai City, China: a multi- region study BMC Public Health Cardiovascular disease PM2.5 components Multi- region study China |
| title | The effects of PM2.5 components on the cardiovascular disease admissions in Shanghai City, China: a multi- region study |
| title_full | The effects of PM2.5 components on the cardiovascular disease admissions in Shanghai City, China: a multi- region study |
| title_fullStr | The effects of PM2.5 components on the cardiovascular disease admissions in Shanghai City, China: a multi- region study |
| title_full_unstemmed | The effects of PM2.5 components on the cardiovascular disease admissions in Shanghai City, China: a multi- region study |
| title_short | The effects of PM2.5 components on the cardiovascular disease admissions in Shanghai City, China: a multi- region study |
| title_sort | effects of pm2 5 components on the cardiovascular disease admissions in shanghai city china a multi region study |
| topic | Cardiovascular disease PM2.5 components Multi- region study China |
| url | https://doi.org/10.1186/s12889-024-21179-0 |
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