Carlton Elizabeth J, Woster Andrew P, DeWitt Peter, Goldstein Rebecca S, Levy Karen
Department of Environmental and Occupational Health, University of Colorado, Aurora, CO, USA,
Department of Environmental and Occupational Health, University of Colorado, Aurora, CO, USA.
Int J Epidemiol. 2016 Feb;45(1):117-30. doi: 10.1093/ije/dyv296. Epub 2015 Nov 13.
Global climate change is expected to increase the risk of diarrhoeal diseases, a leading cause of childhood mortality. However, there is considerable uncertainty about the magnitude of these effects and which populations bear the greatest risks.
We conducted a systematic review using defined search terms across four major databases and, additionally, examined the references of 54 review articles captured by the search. We evaluated sources of heterogeneity by pathogen taxon, exposure measure, study quality, country income level and regional climate, and estimated pooled effect estimates for the subgroups identified in the heterogeneity analysis, using meta-analysis methods.
We identified 26 studies with 49 estimates. Pathogen taxa were a source of heterogeneity. There was a positive association between ambient temperature and all-cause diarrhoea (incidence rate ratio (IRR) 1.07; 95% confidence interval (CI) 1.03, 1.10) and bacterial diarrhoea (IRR 1.07; 95% CI 1.04, 1.10), but not viral diarrhoea (IRR 0.96; 95% CI 0.82, 1.11). These associations were observed in low-, middle- and high-income countries. Only one study of protozoan diarrhoea was identified.
Changes in temperature due to global climate change can and may already be affecting diarrhoeal disease incidence. The vulnerability of populations may depend, in part, on local pathogen distribution. However, evidence of publication bias and the uneven geographical distribution of studies limit the precision and generalizability of the pooled estimates.
全球气候变化预计会增加腹泻病的风险,腹泻病是儿童死亡的主要原因。然而,这些影响的程度以及哪些人群面临最大风险仍存在很大不确定性。
我们使用确定的检索词在四个主要数据库中进行了系统综述,此外,还查阅了检索到的54篇综述文章的参考文献。我们通过病原体分类、暴露测量、研究质量、国家收入水平和区域气候评估异质性来源,并使用荟萃分析方法对异质性分析中确定的亚组估计合并效应估计值。
我们确定了26项研究,有49个估计值。病原体分类是异质性的一个来源。环境温度与全因腹泻(发病率比(IRR)1.07;95%置信区间(CI)1.03,1.10)和细菌性腹泻(IRR 1.07;95%CI 1.04,1.10)之间存在正相关,但与病毒性腹泻无关(IRR 0.96;95%CI 0.82,1.11)。在低收入、中等收入和高收入国家均观察到这些关联。仅确定了一项关于原生动物腹泻的研究。
全球气候变化导致的温度变化能够且可能已经在影响腹泻病发病率。人群的脆弱性可能部分取决于当地病原体分布。然而,发表偏倚的证据以及研究的地理分布不均限制了合并估计值的准确性和可推广性。