School of Energy, Geoscience, Infrastructure & Society, Heriot-Watt University, Riccarton, Edinburgh, EH14 4AS, Scotland, UK,
Environ Sci Pollut Res Int. 2015 Jun;22(12):9378-99. doi: 10.1007/s11356-015-4095-5. Epub 2015 Jan 22.
We aimed to understand the relationships of the weather as biometeorological and hospital admissions due to carcinoma in situ and benign neoplasms, which have been less paid attention to, in a national setting in recent years. This is an ecological study. Ten percent of daily hospital admissions from the included hospitals (n = 1618) across Germany that were available between 1 January, 2009 and 31 December, 2011 (n = 5,235,600) were extracted from Statistisches Bundesamt, Germany. We identified D00-D48 in situ neoplasms, benign neoplasms and neoplasms of uncertain or unknown behaviour by International Classification of Diseases version 10 as the study outcomes. Daily weather data from 64 weather stations that covered 13 German states including air temperature, humidity, wind speed, cloud cover, radiation flux and vapour pressure were obtained and generated into physiologically equivalent temperature (PET). For most subtypes, peaks of admissions were observed in spring and late autumn. There could be four groups of phenomenon among these admissions. To be specific, D06, D16, D21, D24-25, D35 and D39 peaked when PET was at 0 °C. D46 peaked when PET was at 5-10 °C. D03, D04 and D33 had linear relationships. Other admissions peaked when PET was between 0 and 5 °C. All admissions were in common with a drop when PET reached 10 °C or higher. More medical resources could have been needed on days when PETs were at 0-10 °C than on other days. Adaptation to such weather change for medical professionals and the general public would seem to be imperative.
本研究旨在了解近年来在全国范围内,生物气象学意义上的天气变化与癌前原位病变和良性肿瘤住院人数之间的关系,这些关系尚未得到充分关注。这是一项生态学研究。研究从德国联邦统计局提取了 2009 年 1 月 1 日至 2011 年 12 月 31 日期间德国纳入医院的 10%(n=1618)的每日住院人数(n=5235600)。通过国际疾病分类第 10 版(ICD-10),我们将 D00-D48 原位肿瘤、良性肿瘤和性质不明或未知的肿瘤确定为研究结果。研究从 64 个气象站获取了涵盖德国 13 个州的每日天气数据,包括气温、湿度、风速、云量、辐射通量和蒸汽压,并将其转化为生理等效温度(PET)。对于大多数亚型,住院人数的高峰出现在春季和晚秋。这些住院人数可能存在四种现象。具体来说,当 PET 为 0°C 时,D06、D16、D21、D24-25、D35 和 D39 达到峰值;当 PET 为 5-10°C 时,D46 达到峰值;D03、D04 和 D33 呈线性关系;当 PET 在 0-5°C 之间时,其他住院人数达到峰值。当 PET 达到 10°C 或更高时,所有住院人数都呈下降趋势。与其他天气条件相比,在 PET 为 0-10°C 的日子里,可能需要更多的医疗资源。医疗专业人员和公众似乎需要适应这种天气变化。