School of Public Health, Xinxiang Medical University, Henan Province, Xinxiang, 453003, China.
Sino-UK Joint Laboratory of Brain Function and Injury of Henan Province, Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Xinxiang Medical University, Henan Province, Xinxiang, 453003, China.
Int J Biometeorol. 2023 Oct;67(10):1629-1641. doi: 10.1007/s00484-023-02524-1. Epub 2023 Aug 3.
The impact of weather variability and air pollutants on tuberculosis (TB) has been a research hotspot. Previous studies have mostly been limited to a certain area or with a small sample size of cases, and multi-scale systematic studies are lacking. In this study, 14,816,329 TB cases were collected from 31 provinces in China between 2004 and 2018 to estimate the association between TB risk and meteorological factors and air pollutants using a two-stage time-series analysis. The impact and lagged time of meteorological factors and air pollutants on TB risk varied greatly in different provinces and regions. Overall cumulative exposure-response summary associations across 31 provinces suggested that high monthly mean relative humidity (RH) (66.8-82.4%, percentile (P)), rainfall (316.5-331.1 mm, P), PM exposure concentration (93.3-145.0 μg/m, P), and low monthly mean wind speed (1.6-2.1 m/s, P) increased the risk of TB incidence, with a relative risk (RR) of 1.10 (95% CI: 1.04-1.16), 1.10 (95% CI: 1.03-1.16), 2.08 (95% CI: 1.18-3.65), and 2.06 (95% CI: 1.27-3.33), and attributable risk percent (AR%) of 9%, 9%, 52%, and 51%, respectively. Conversely, high monthly average wind speed (2.3-2.9 m/s, P) and mean temperature (20.2-25.3 °C, P), and low monthly average rainfall (2.4-25.2 mm, P) and concentration of SO (8.1-21.2 μg/m, P) exposure decreased the risk of TB incidence, with an overall cumulative RR of 0.92 (95% CI: 0.87-0.98), 0.74 (95% CI: 0.59-0.94), 0.87 (95% CI: 0.79-0.95), and 0.72 (95% CI: 0.56-0.93), respectively. Our study provided insights into future planning of public health interventions for TB.
气象变异性和空气污染物对结核病(TB)的影响一直是研究热点。先前的研究大多局限于某个特定区域或病例数量较少,缺乏多尺度系统研究。本研究收集了 2004 年至 2018 年间中国 31 个省份的 14816329 例结核病病例,采用两阶段时间序列分析方法,估计结核病发病风险与气象因素和空气污染物之间的关联。气象因素和空气污染物对结核病发病风险的影响及其滞后时间在不同省份和地区差异很大。31 个省份的整体累积暴露-反应总结关联表明,高月平均相对湿度(66.8-82.4%,百分位数(P))、降雨量(316.5-331.1mm,P)、PM 暴露浓度(93.3-145.0μg/m,P)和低月平均风速(1.6-2.1m/s,P)增加了结核病发病的风险,相对风险(RR)分别为 1.10(95%置信区间:1.04-1.16)、1.10(95%置信区间:1.03-1.16)、2.08(95%置信区间:1.18-3.65)和 2.06(95%置信区间:1.27-3.33),归因风险百分比(AR%)分别为 9%、9%、52%和 51%。相反,高月平均风速(2.3-2.9m/s,P)和平均温度(20.2-25.3°C,P),低月平均降雨量(2.4-25.2mm,P)和 SO 浓度(8.1-21.2μg/m,P)暴露降低了结核病发病的风险,总体累积 RR 分别为 0.92(95%置信区间:0.87-0.98)、0.74(95%置信区间:0.59-0.94)、0.87(95%置信区间:0.79-0.95)和 0.72(95%置信区间:0.56-0.93)。本研究为未来结核病公共卫生干预措施的规划提供了思路。