Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian Province, China.
Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian Province, China; Fuzhou Center for Disease Control and Prevention, Fuzhou 350004, Fujian Province, China.
Environ Pollut. 2023 Nov 1;336:122385. doi: 10.1016/j.envpol.2023.122385. Epub 2023 Aug 28.
The associations of hand, foot, and mouth disease (HFMD) with meteorological variables and particulate matter (PM) remain controversial, and limited evidence is available on heat index (HI) and coarse particulate (PM). Moreover, temperature and humidity are considered major risk factors but their interaction with PM remains unclear. We combined the distributed lag non-linear and quasi-Poisson models to estimate the non-linear and lagged associations of meteorological variables and PM with HFMD based on reported HFMD during 2015-2019 in Fuzhou, China. The multiplicative term of interaction was used to explore the relationship between HFMD and meteorological variables or PM at different levels of another variable. Stratified analyses were used to identify vulnerable subpopulations. We observed inverted-V-shaped relationships between HFMD and temperature and HI, and the W- and N-shaped for relative humidity (RH) and PM, respectively. Extreme high (i.e., the 95th percentile) temperature, HI and RH increased the HFMD with relative risks (RR) of 4.00 (95% confidence interval, 2.79-5.75), 2.20 (1.71-2.83) and 1.54 (1.35-1.75) referent to the minimum effect value of 10.3 °C, 69.4 and 54.8%, respectively. Higher concentrations of PM rapidly increased the HFMD. Infants under 2 years suffered more from temperature, HI and PM. There were synergistic effects between meteorological variables and PM on HFMD. For instance, the RRs of temperature (30 °C) and RH (40%) on HFMD increased from 3.68 (2.24-6.06) to 6.44 (4.29-9.66) and from 0.45 (0.14-1.47) to 2.15 (0.90-5.12) at low (<25%) and high (>75%) categories of PM, respectively. While the RRs of 70 μg/m of PM and PM increased from 0.65 (0.32-1.31) to 2.93 (1.63-5.26) and from 0.86 (0.23-3.21) to 3.26 (1.23-8.62) at low and high categories of HI. These findings are essential for the development a prediction and warning systems and prevention and control strategies for HFMD.
手足口病(HFMD)与气象变量和颗粒物(PM)的关联仍存在争议,有关热指数(HI)和粗颗粒物(PM)的证据有限。此外,温度和湿度被认为是主要的危险因素,但它们与 PM 的相互作用仍不清楚。我们结合分布式滞后非线性和拟泊松模型,根据 2015-2019 年中国福州报告的 HFMD 数据,估计气象变量和 PM 与 HFMD 的非线性和滞后关联。交互的乘积项用于探索 HFMD 与气象变量或 PM 在另一个变量不同水平下的关系。分层分析用于确定脆弱亚人群。我们观察到 HFMD 与温度和 HI 之间呈倒 V 形关系,与相对湿度(RH)和 PM 之间呈 W 形和 N 形关系。极高(即第 95 百分位)温度、HI 和 RH 增加了 HFMD 的相对风险(RR),分别为 4.00(95%置信区间,2.79-5.75)、2.20(1.71-2.83)和 1.54(1.35-1.75),相对于 10.3°C、69.4%和 54.8%的最小效应值。较高浓度的 PM 迅速增加了 HFMD。2 岁以下的婴儿更容易受到温度、HI 和 PM 的影响。气象变量和 PM 对 HFMD 有协同作用。例如,温度(30°C)和 RH(40%)对 HFMD 的 RR 从 2.24-6.06 增加到 4.29-9.66,从 0.14-1.47 增加到 0.90-5.12,分别从低(<25%)和高(>75%)PM 类别。而 70μg/m 的 PM 和 PM 的 RR 从 0.32-1.31 增加到 1.63-5.26,从 0.23-3.21 增加到 1.23-8.62,分别从低和高 HI 类别。这些发现对于开发 HFMD 的预测和预警系统以及预防和控制策略至关重要。