Burden of mortality attributable to diurnal temperature range in Thailand: a nationwide case-crossover analysis from 2007 to 2021.

IF 3.6 Q1 TROPICAL MEDICINE
Chittamon Sritong-Aon, Arthit Phosri, Tanasri Sihabut, Tawach Prechthai
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Abstract

Introduction: Diurnal temperature range (DTR), the difference between daily maximum and minimum temperatures, has been increasingly recognized for its potential impact on human health. However, its contribution to mortality remains underexplored, particularly in tropical regions such as Thailand.

Objective: To estimate the burden of all-cause mortality attributable to variations in DTR in Thailand utilizing data from 2007 to 2021.

Methodology: Data on daily all-cause mortality (ICD-10: A00-R99), excluding accidental causes, were obtained from the Strategy and Planning Division under the Office of the Permanent Secretary, Ministry of Public Health between January 2007 and December 2021, while daily meteorological data were sourced from the Thai Meteorological Department during the same period. A two-stage statistical model was utilized to assess the relationship between DTR and mortality. In the first stage, a time-stratified case-crossover design with conditional Poisson regression model was applied to estimate the province-specific associations between DTR and mortality. In the second stage, these province-specific estimates were pooled using a multivariate meta-regression model to obtain the national-level estimate. Finally, the mortality burden attributable to variations in DTR was determined using a backward perspective based on the relative risks obtained from the distributed lag non-linear model (DLNM).

Results: During the study period, a total of 5,574,850 non-accidental cause of deaths was reported. The association between DTR and mortality followed a non-linear with U-shaped pattern, where the effect of DTR on mortality was higher at both low and high DTR levels. The fraction of mortality attributable to DTR at cumulative lag 0-7, 0-14, and 0-21 days was 1.88% (95% empirical confidence interval (eCI): 0.69-3.03), 2.39% (95% eCI: 0.75-3.99), and 4.67% (95% eCI: - 1.14-9.87), respectively.

Conclusions: The findings indicate that both low and high DTRs were associated with an increased risk of all-cause mortality in Thailand. This underscores the need to consider DTR as a significant climate-related health risk, particularly in tropical regions, to inform public health strategies aimed at reducing the burden of climate-related mortality.

泰国日温差导致的死亡负担:2007年至2021年全国病例交叉分析
导读:日温度范围(DTR),即每日最高温度和最低温度之间的差异,已越来越多地认识到其对人类健康的潜在影响。然而,它对死亡率的影响仍未得到充分探讨,特别是在泰国等热带地区。目的:利用2007年至2021年的数据,估计泰国由DTR变化引起的全因死亡率负担。方法:2007年1月至2021年12月期间,每日全因死亡率(ICD-10: A00-R99)的数据(不包括意外原因)来自公共卫生部常务秘书办公室下属的战略和规划司,而同期的每日气象数据来自泰国气象部。采用两阶段统计模型评估DTR与死亡率之间的关系。在第一阶段,采用时间分层病例交叉设计和条件泊松回归模型来估计DTR与死亡率之间的省份特异性关联。在第二阶段,使用多元元回归模型将这些特定省份的估计值汇总,以获得国家层面的估计值。最后,基于分布滞后非线性模型(DLNM)获得的相对风险,采用反向视角确定DTR变化导致的死亡负担。结果:在研究期间,共报告了5,574,850例非意外原因死亡。DTR与死亡率之间呈非线性u型关系,DTR水平越低,DTR对死亡率的影响越大。累计滞后0 ~ 7、0 ~ 14、0 ~ 21 d的DTR死亡率分别为1.88%(95%经验置信区间(eCI): 0.69 ~ 3.03)、2.39% (95% eCI: 0.75 ~ 3.99)、4.67% (95% eCI: - 1.14 ~ 9.87)。结论:研究结果表明,在泰国,低和高dtr都与全因死亡风险增加有关。这突出表明有必要将疟疾视为与气候有关的重大健康风险,特别是在热带地区,以便为旨在减轻与气候有关的死亡率负担的公共卫生战略提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Tropical Medicine and Health
Tropical Medicine and Health TROPICAL MEDICINE-
CiteScore
7.00
自引率
2.20%
发文量
90
审稿时长
11 weeks
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