Comparison of the association between different ozone indicators and daily respiratory hospitalization in Guangzhou, China
Bibliographic Data
| ID | 22076034 |
|---|---|
| Authors | Geng Lin (0000-0002-9492-7848), Lin Geng (0009-0009-8910-3711, Sun Yat-sen University), Zhuoqing Wang (Sun Yat-sen University, corresponding author), Xiangxue Zhang (0000-0002-0924-1850, Beijing Normal University, corresponding author), Alfred Stein (0000-0002-9456-1233, University of Twente), Kamal Jyoti Maji (0000-0001-7843-1204, Georgia Institute of Technology), Changxiu Cheng (0000-0003-2988-8915, Beijing Normal University), Frank Osei (0000-0003-2206-3662, University of Twente), Fiona Fan Yang (0000-0002-6212-0812) |
| Year | 2023 |
| Volume | 11 |
| Pages | 1060714-1060714 |
| Publication date | 2023-01-30 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2023.1060714 |
| PMID | 36794065 |
| OpenAlex | W4318457089 |
| Language | EN |
| References cited | 48 |
Background Epidemiological studies have widely proven the impact of ozone (O 3 ) on respiratory mortality, while only a few studies compared the association between different O 3 indicators and health. Methods This study explores the relationship between daily respiratory hospitalization and multiple ozone indicators in Guangzhou, China, from 2014 to 2018. It uses a time-stratified case–crossover design. Sensitivities of different age and gender groups were analyzed for the whole year, the warm and the cold periods. We compared the results from the single-day lag model and the moving average lag model. Results The results showed that the maximum daily 8 h average ozone concentration (MDA8 O 3 ) had a significant effect on the daily respiratory hospitalization. This effect was stronger than for the maximum daily 1 h average ozone concentration (MDA1 O 3 ). The results further showed that O 3 was positively associated with daily respiratory hospitalization in the warm season, while there was a significantly negative association in the cold season. Specifically, in the warm season, O 3 has the most significant effect at lag 4 day, with the odds ratio (OR) equal to 1.0096 [95% confidence intervals (CI): 1.0032, 1.0161]. Moreover, at the lag 5 day, the effect of O 3 on the 15–60 age group was less than that on people older than 60 years, with the OR value of 1.0135 (95% CI: 1.0041, 1.0231) for the 60+ age group; women were more sensitive than men to O 3 exposure, with an OR value equal to 1.0094 (95% CI: 0.9992, 1.0196) for the female group. Conclusion These results show that different O 3 indicators measure different impacts on respiratory hospitalization admission. Their comparative analysis provided a more comprehensive insight into exploring associations between O 3 exposure and respiratory health
Confidence interval · Distributed lag · Effect modification · Geography · Meteorology · Names of the days of the week · Odds ratio · Ozone · Respiratory system · Statistics · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Climate Change and Health Impacts · Demography · Mathematics · Medicine · Epidemiology · Internal Medicine
| Citation velocity | historical |
|---|---|
| Highly cited | No |