The impact of diurnal temperature range on the risk of hospitalizations in a low-income setting: the case of the Central Coast of Vietnam.

IF 3 3区 地球科学 Q2 BIOPHYSICS
Hieu K T Ngo, Ton T C Tri, Dang Thi Anh Thu, Dung Phung, Tran Ngoc Dang, Kien Duc Nguyen, My H D Nguyen, Hoang Cong Tin, Phong K Thai
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Abstract

The study aims to evaluate the effects of diurnal temperature range (DTR) on all causes, cardiovascular and respiratory conditions in the Central Coast of Vietnam, a tropical, low-income region with high DTR exposure but limited research. Daily hospital admission data from the largest hospitals in three provinces were analyzed alongside meteorological data. A time-series analysis using a generalized linear distributed lag model was conducted to examine the non-linear DTR-hospitalization association. A random-effect meta-analysis using restricted maximum likelihood was performed to calculate the pooled effects across three provinces. Stratified analyses by gender, age, season and natural disaster occurrence were conducted to identify vulnerable subpopulations. The multi-province pooled effects indicated that a 1 °C increase in DTR raised the risk of hospitalizations for all causes and respiratory diseases by 1.5% [1.2-1.8%] and 0.5% [0.0-1.0%], at lag 0-6 days. The effects of DTR on cardiovascular diseases, as well as those stratified by subgroups, were not statistically significant. Additionally, DTR had a greater adverse effect during the dry season and in the presence of natural disaster. Females and the elderly were slightly more susceptible to respiratory admissions, while males and younger individuals had a higher risk of all-cause admissions due to greater DTR effects. DTR was an independent risk factor for the exacerbation of all and specific causes, particularly among the susceptible subgroups. The findings suggested that it is necessary to take preventive measures to protect these at-risk populations from the adverse effects of extreme DTR exposure.

昼夜温差对低收入地区住院风险的影响:以越南中央海岸为例。
该研究旨在评估昼夜温差(DTR)对越南中央海岸所有病因、心血管和呼吸系统疾病的影响。研究人员对三个省最大医院的每日入院数据和气象数据进行了分析。使用广义线性分布滞后模型进行了时间序列分析,以研究 DTR 与住院之间的非线性关联。使用限制性最大似然法进行了随机效应荟萃分析,以计算三个省份的集合效应。按性别、年龄、季节和自然灾害发生情况进行了分层分析,以确定易受影响的亚人群。多省集合效应表明,在滞后 0-6 天,DTR 升高 1 °C,所有原因和呼吸系统疾病的住院风险分别升高 1.5% [1.2-1.8%] 和 0.5% [0.0-1.0%]。DTR对心血管疾病的影响以及按亚组分层的影响在统计学上并不显著。此外,在旱季和发生自然灾害时,DTR 的不利影响更大。女性和老年人略微更容易因呼吸道疾病入院,而男性和年轻人则由于 DTR 的影响更大而导致更高的全因入院风险。DTR是导致所有病因和特定病因恶化的独立风险因素,尤其是在易感人群中。研究结果表明,有必要采取预防措施,保护这些高危人群免受极度暴露于 DTR 的不利影响。
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来源期刊
CiteScore
6.40
自引率
9.40%
发文量
183
审稿时长
1 months
期刊介绍: The Journal publishes original research papers, review articles and short communications on studies examining the interactions between living organisms and factors of the natural and artificial atmospheric environment. Living organisms extend from single cell organisms, to plants and animals, including humans. The atmospheric environment includes climate and weather, electromagnetic radiation, and chemical and biological pollutants. The journal embraces basic and applied research and practical aspects such as living conditions, agriculture, forestry, and health. The journal is published for the International Society of Biometeorology, and most membership categories include a subscription to the Journal.
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