NOVA National School of Public Health, Public Health Research Center, Comprehensive Health Research Center, CHRC, NOVA University Lisbon, Lisbon, Portugal; Public Health Unit USP Francisco George, ACES Lisboa Norte, Lisbon, Portugal; Global Health and Tropical Medicine, GHTM, Instituto de Higiene e Medicina Tropical, IHMT, Universidade NOVA de Lisboa, Lisbon, Portugal.
CoLAB + ÂTLANTIC, IPL-ESTM, Peniche, Portugal; Centro de Estudos Geográficos, IGOT-Instituto de Geografia e Ordenamento do Território, University of Lisbon, Lisbon, Portugal.
Lancet Planet Health. 2024 May;8(5):e318-e326. doi: 10.1016/S2542-5196(24)00046-9.
Climate change has increased the frequency, intensity, and duration of heatwaves, posing a serious threat to public health. Although the link between high temperatures and premature mortality has been extensively studied, the comprehensive quantification of heatwave effects on morbidity remains underexplored.
In this observational study, we assessed the relationship between heatwaves and daily hospital admissions at a county level in Portugal. We considered all major diagnostic categories and age groups (<18 years, 18-64 years, and ≥65 years), over a 19-year period from 2000 to 2018, during the extended summer season, defined as May 1, to Sept 30. We did a comprehensive geospatial analysis, integrating over 12 million hospital admission records with heatwave events indexed by the Excess Heat Factor (EHF), covering all 278 mainland counties. We obtained data from the Hospital Morbidity Database and E-OBS daily gridded meteorological data for Europe from 1950 to present derived from in-situ observations. To estimate the effect of heatwaves on hospital admissions, we applied negative binomial regression models at both national and county levels.
We found a statistically significant overall increase in daily hospital admissions during heatwave days (incidence rate ratio 1·189 [95% CI 1·179-1·198]; p<0·0001). All age groups were affected, with children younger than 18 years being the most affected (21·7% [20·6-22·7] increase in admissions; p<0·0001), followed by the working-age (19·7% [18·7-20·7]; p<0·0001) and elderly individuals (17·2% [16·2-18·2]; p<0·0001). All 25 major disease diagnostic categories showed significant increases in hospital admissions, particularly burns (34·3% [28·7-40·1]; p<0·0001), multiple significant trauma (26·8% [22·2-31·6]; p<0·0001), and infectious and parasitic diseases (25·4% [23·5-27·3]; p<0·0001). We also found notable increases in endocrine, nutritional, and metabolic diseases (25·1% [23·4-26·8]; p<0·0001), mental diseases and disorders (23·0% [21·1-24·8]; p<0·0001), respiratory diseases (22·4% [21·2-23·6]; p<0·0001), and circulatory system disorders (15·8% [14·7-16·9]; p<0·0001).
Our results provide statistically significant evidence of the association between heatwaves and increased hospitalisations across all age groups and for all major causes of disease. To our knowledge, this is the first study to estimate the full extent of heatwaves' impact on hospitalisations using the EHF index over a 19-year period, encompassing an entire country, and spanning 25 disease categories during multiple heatwave events. Our data offer crucial information to guide policy makers in effectively and efficiently allocating resources to address the profound health-care consequences resulting from climate change.
None.
气候变化增加了热浪的频率、强度和持续时间,对公共健康造成了严重威胁。尽管高温与过早死亡之间的联系已经得到了广泛研究,但对热浪对发病率的综合影响仍研究不足。
在这项观察性研究中,我们评估了葡萄牙县级热浪与每日住院人数之间的关系。我们考虑了所有主要诊断类别和年龄组(<18 岁、18-64 岁和≥65 岁),研究时间为 2000 年至 2018 年的 19 年期间,扩展夏季时段定义为 5 月 1 日至 9 月 30 日。我们进行了全面的地理空间分析,将超过 1200 万份医院入院记录与热浪事件整合在一起,这些事件由过热因子(EHF)索引,涵盖了所有 278 个大陆县。我们从医院发病率数据库和欧洲的 E-OBS 日常网格化气象数据中获取数据,这些数据来自 1950 年至今的现场观测。为了估计热浪对医院入院人数的影响,我们在国家和县级水平上应用了负二项回归模型。
我们发现热浪日的每日住院人数有统计学意义的总体增加(发病率比 1.189[95%CI 1.179-1.198];p<0.0001)。所有年龄组都受到影响,其中 18 岁以下的儿童受影响最大(入院人数增加 21.7%[20.6-22.7];p<0.0001),其次是工作年龄组(19.7%[18.7-20.7];p<0.0001)和老年个体(17.2%[16.2-18.2];p<0.0001)。所有 25 个主要疾病诊断类别都显示出住院人数的显著增加,特别是烧伤(34.3%[28.7-40.1];p<0.0001)、多重严重创伤(26.8%[22.2-31.6];p<0.0001)和传染病和寄生虫病(25.4%[23.5-27.3];p<0.0001)。我们还发现内分泌、营养和代谢疾病(25.1%[23.4-26.8];p<0.0001)、精神疾病和障碍(23.0%[21.1-24.8];p<0.0001)、呼吸系统疾病(22.4%[21.2-23.6];p<0.0001)和循环系统疾病(15.8%[14.7-16.9];p<0.0001)的显著增加。
我们的研究结果提供了统计学上显著的证据,证明了热浪与所有年龄组和所有主要疾病原因的住院人数增加之间存在关联。据我们所知,这是第一项使用 EHF 指数在 19 年期间、涵盖整个国家和 25 种疾病类别的多个热浪事件中估计热浪对住院人数全面影响的研究。我们的数据为政策制定者提供了重要信息,有助于有效地分配资源,以应对气候变化带来的深远的医疗保健后果。
无。