Department of Global Health, School of Tropical Medicine and Global Health, Nagasaki University, 1 Chome-12-4 Sakamoto, Nagasaki 852-8102, Japan.
Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Int J Environ Res Public Health. 2021 Aug 2;18(15):8191. doi: 10.3390/ijerph18158191.
Epidemiological studies have quantified the association between ambient temperature and diarrhoea. However, to our knowledge, no study has quantified the temperature association for severe diarrhoea cases. In this study, we quantified the association between mean temperature and two severe diarrhoea outcomes, which were mortality and hospital admissions accompanied with dehydration and/or co-morbidities. Using a 12-year dataset of three urban districts of the National Capital Region, Philippines, we modelled the non-linear association between weekly temperatures and weekly severe diarrhoea cases using a two-stage time series analysis. We computed the relative risks at the 95th (30.4 °C) and 5th percentiles (25.8 °C) of temperatures using minimum risk temperatures (MRTs) as the reference to quantify the association with high- and low-temperatures, respectively. The shapes of the cumulative associations were generally J-shaped with greater associations towards high temperatures. Mortality risks were found to increase by 53.3% [95% confidence interval (CI): 29.4%; 81.7%)] at 95th percentile of weekly mean temperatures compared with the MRT (28.2 °C). Similarly, the risk of hospitalised severe diarrhoea increased by 27.1% (95% CI: 0.7%; 60.4%) at 95th percentile in mean weekly temperatures compared with the MRT (28.6 °C). With the increased risk of severe diarrhoea cases under high ambient temperature, there may be a need to strengthen primary healthcare services and sustain the improvements made in water, sanitation, and hygiene, particularly in poor communities.
流行病学研究已经量化了环境温度与腹泻之间的关联。然而,据我们所知,尚无研究量化高温与严重腹泻病例之间的关联。在这项研究中,我们量化了平均温度与两种严重腹泻结果(死亡率和伴有脱水和/或合并症的住院)之间的关联。我们使用菲律宾首都地区三个城区的 12 年数据集,通过两阶段时间序列分析,对每周温度与每周严重腹泻病例之间的非线性关联进行建模。我们使用最小风险温度(MRT)作为参考,计算了温度第 95 百分位数(30.4°C)和第 5 百分位数(25.8°C)的相对风险,以量化高温和低温的关联。累积关联的形状通常呈 J 形,与高温的关联更大。与 MRT(28.2°C)相比,每周平均温度第 95 百分位数时死亡率风险增加了 53.3%(95%置信区间:29.4%;81.7%)。同样,与 MRT(28.6°C)相比,每周平均温度第 95 百分位数时住院严重腹泻的风险增加了 27.1%(95%置信区间:0.7%;60.4%)。由于高温环境下严重腹泻病例的风险增加,可能需要加强初级保健服务,并维持在水、卫生和环境卫生方面取得的改善,特别是在贫困社区。