School of Geography and Planning, Sun Yat-sen University, Guangzhou, China.
Department of Scientific Research and Discipline Development, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Front Public Health. 2023 Jan 30;11:1060714. doi: 10.3389/fpubh.2023.1060714. eCollection 2023.
Epidemiological studies have widely proven the impact of ozone (O) on respiratory mortality, while only a few studies compared the association between different O indicators and health.
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.
The results showed that the maximum daily 8 h average ozone concentration (MDA8 O) 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). The results further showed that O 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 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 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 exposure, with an OR value equal to 1.0094 (95% CI: 0.9992, 1.0196) for the female group.
These results show that different O indicators measure different impacts on respiratory hospitalization admission. Their comparative analysis provided a more comprehensive insight into exploring associations between O exposure and respiratory health.
流行病学研究广泛证明了臭氧(O)对呼吸死亡率的影响,而只有少数研究比较了不同臭氧指标与健康之间的关系。
本研究探讨了 2014 年至 2018 年期间中国广州每日呼吸住院与多种臭氧指标之间的关系。它使用时间分层病例交叉设计。分析了整个年度、暖季和冷季不同年龄和性别组的敏感性。我们比较了单日滞后模型和移动平均滞后模型的结果。
结果表明,最大日 8 小时平均臭氧浓度(MDA8 O)对每日呼吸住院有显著影响。这种影响强于最大日 1 小时平均臭氧浓度(MDA1 O)。结果进一步表明,O 与暖季的每日呼吸住院呈正相关,而在冷季呈显著负相关。具体来说,在暖季,O 在滞后 4 天的影响最大,比值比(OR)等于 1.0096 [95%置信区间(CI):1.0032, 1.0161]。此外,在滞后 5 天,O 对 15-60 岁年龄组的影响小于对 60 岁以上年龄组的影响,60 岁以上年龄组的 OR 值为 1.0135(95%CI:1.0041, 1.0231);女性对 O 暴露比男性更敏感,女性组的 OR 值等于 1.0094(95%CI:0.9992, 1.0196)。
这些结果表明,不同的 O 指标衡量对呼吸住院入院的不同影响。对它们的比较分析提供了对探索 O 暴露与呼吸健康之间关联的更全面的认识。