School of Public Health and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD 4059, Brisbane, Australia.
Int J Biometeorol. 2012 Jul;56(4):569-81. doi: 10.1007/s00484-011-0497-3.
The impact of climate change on the health of vulnerable groups such as the elderly has been of increasing concern. However, to date there has been no meta-analysis of current literature relating to the effects of temperature fluctuations upon mortality amongst the elderly. We synthesised risk estimates of the overall impact of daily mean temperature on elderly mortality across different continents. A comprehensive literature search was conducted using MEDLINE and PubMed to identify papers published up to December 2010. Selection criteria including suitable temperature indicators, endpoints, study-designs and identification of threshold were used. A two-stage Bayesian hierarchical model was performed to summarise the percent increase in mortality with a 1°C temperature increase (or decrease) with 95% confidence intervals in hot (or cold) days, with lagged effects also measured. Fifteen studies met the eligibility criteria and almost 13 million elderly deaths were included in this meta-analysis. In total, there was a 2-5% increase for a 1°C increment during hot temperature intervals, and a 1-2 % increase in all-cause mortality for a 1°C decrease during cold temperature intervals. Lags of up to 9 days in exposure to cold temperature intervals were substantially associated with all-cause mortality, but no substantial lagged effects were observed for hot intervals. Thus, both hot and cold temperatures substantially increased mortality among the elderly, but the magnitude of heat-related effects seemed to be larger than that of cold effects within a global context.
气候变化对弱势群体(如老年人)健康的影响已引起越来越多的关注。然而,迄今为止,还没有对现有文献中关于温度波动对老年人死亡率影响的综合分析。我们综合了不同大陆老年人死亡率与日平均温度关系的总体影响的风险评估。使用 MEDLINE 和 PubMed 进行了全面的文献检索,以确定截至 2010 年 12 月发表的论文。选择标准包括合适的温度指标、终点、研究设计和识别阈值。采用两阶段贝叶斯分层模型来总结热(冷)天中每增加 1°C 死亡率的百分比增加(或减少),并测量滞后效应。有 15 项研究符合入选标准,这项荟萃分析共纳入了近 1300 万例老年人死亡。总的来说,在高温期每增加 1°C,死亡率增加 2-5%,在低温期每降低 1°C,全因死亡率增加 1-2%。在暴露于低温期长达 9 天的时间内,与全因死亡率有显著关联,但在高温期没有观察到显著的滞后效应。因此,高温和低温都会显著增加老年人的死亡率,但在全球范围内,与热相关的影响的幅度似乎大于冷相关的影响。