Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Mei-Shan Road, Hefei, Anhui, China.
Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China.
Environ Sci Pollut Res Int. 2023 Feb;30(7):19342-19355. doi: 10.1007/s11356-022-23522-7. Epub 2022 Oct 14.
Concerns are growing about the adverse health effects of ambient temperature and ambient temperature changes. However, the association between ambient temperature and ambient temperature changes on the risk of warts outpatient visits is poorly understood. Our study used the distributed lag non-linear model (DLNM) aimed to evaluate the association between ambient temperature, ambient temperature changes (including temperature change between neighboring days (TCN) and diurnal temperature range (DTR)), and warts outpatient visits. We also performed subgroup analyses in order to find susceptible populations by gender and age groups. The maximum relative risk (RR) of low ambient temperature (0 °C) for warts outpatient visits was 1.117 (95% CI: 1.041-1.198, lag 04 days), and the maximum RR of high ambient temperature (32 °C) for warts outpatient visits was 1.318 (95% CI: 1.083-1.605, lag 07 days). The large temperature drop (TCN = - 3 °C) decreased the risk of warts visits, with the lowest RR value at the cumulative exposure of lag 7 days (RR = 0.888, 95% CI: 0.822-0.959), and the large temperature rise (TCN = 2 °C) increased the risk of warts visits, with the highest RR value at the cumulative exposure of lag 7 days (RR = 1.080, 95% CI: 1.022-1.142). Overall, both low and high ambient temperatures and large temperature rise can increase the risk of warts visits, while large temperature drop is a protective factor for warts visits. However, we did not find any association between DTR and warts visits. Furthermore, subgroup analyses showed that males and the young (0-17 years old) were more sensitive to low and high ambient temperatures, and the elderly (≥ 65 years old) were more susceptible to TCN. The results may provide valuable evidence for reducing the disease burden of warts in the future.
人们对环境温度及其变化对健康的不良影响的担忧日益增加。然而,环境温度及其变化与疣门诊就诊风险之间的关系尚未被充分了解。本研究使用分布滞后非线性模型(DLNM),旨在评估环境温度、环境温度变化(包括相邻日温度变化(TCN)和日较差(DTR))与疣门诊就诊次数之间的关系。我们还进行了亚组分析,以按性别和年龄组确定易感人群。低温(0°C)时疣门诊就诊的最大相对风险(RR)为 1.117(95%可信区间:1.041-1.198,滞后 04 天),高温(32°C)时疣门诊就诊的最大 RR 为 1.318(95%可信区间:1.083-1.605,滞后 07 天)。较大的温度降幅(TCN=−3°C)降低了疣就诊的风险,在累积暴露于滞后 7 天时 RR 值最低(RR=0.888,95%可信区间:0.822-0.959),较大的温度升幅(TCN=2°C)增加了疣就诊的风险,在累积暴露于滞后 7 天时 RR 值最高(RR=1.080,95%可信区间:1.022-1.142)。总体而言,环境温度升高和降低以及温度大幅上升都会增加疣就诊的风险,而温度大幅下降是疣就诊的保护因素。然而,我们没有发现 DTR 与疣就诊次数之间的任何关联。此外,亚组分析表明,男性和年轻人(0-17 岁)对环境温度的高低更为敏感,而老年人(≥65 岁)对 TCN 更为敏感。研究结果可能为未来降低疣的疾病负担提供有价值的证据。