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首页> 外文会议>Annual conference of the International Society of Exposure Science >Impacts of Cold Weather on Emergency Hospital Admission in Texas, 2004-2013
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Impacts of Cold Weather on Emergency Hospital Admission in Texas, 2004-2013

机译：2004-2013年，寒冷天气对德克萨斯州急诊医院入院的影响

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Background: Cold weather has been identified as a major cause of weather-related deaths in the U.S. While the effects of cold weather on mortality has been investigated extensively, cold-morbidity associations are less well studied. The purpose is to examine impacts of cold weather on emergency hospital admission (HA) in 12 major Texas Metropolitan Areas (MSAs) for the 10-year period, 2004-2013. Methods: Our study used a two-stage approach to examine the cold-HA association. We first applied distributed lag non-linear models (DLNM) to estimate cold effects for each MSA. A random effects metaanalysis was then used to estimate pooled effects. Percent increase in risk and corresponding 95% confidence intervals (Cls) were estimated as with a 1 °C decrease in temperature below a MSA-specific threshold. Age-stratified and cause-specific HA were modeled separately. Results: The majority of Texas MSAs were associated with an increased risk in HA ranging from 0.1% to 3.3% with a 1 °C decrease in temperature below cold thresholds. Pooled effect estimate was 1.4% (95% Cl: 0.9%, 1.9%) increase in all-cause HA risk with 1 °C decrease in temperature. Cold wave effects in Texas were also examined and observed in most eastern and southern MSAs. Effects of cold on all-cause HA were highest among people over 75 years old (2.0%, 95% Cl: 1.1%, 3.0%). Pooled estimates for cause-specific HA association were strongest in pneumonia (3.4%, 95% Cl: 2.8%, 4.0%), followed by chronic obstructive pulmonary disease (3.2%, 95% Cl: 2.1%, 4.5%) and respiratory diseases (2.4%, 95% Cl: 2.0%, 2.9%). Conclusion: Cold weather generally increases hospital admission risk significantly in Texas, and cold effects were spatially heterogeneous across Texas. Our findings can provide insights to design better intervention strategies for targeted vulnerable populations towards reducing adverse health effects of cold weather.
机译：背景：在美国，寒冷的天气已被确定为与天气有关的死亡的主要原因。虽然对寒冷的天气对死亡率的影响已进行了广泛的研究，但对寒冷发病率的关联研究却很少。目的是研究在2004年至2013年的10年中，寒冷的天气对德克萨斯州12个主要都会区（MSA）急诊住院（HA）的影响。方法：我们的研究采用了两阶段方法来检查冷HA的关联。我们首先应用分布式滞后非线性模型（DLNM）来估计每个MSA的冷效应。然后使用随机效应荟萃分析来评估合并效应。估计风险增加百分比和相应的95％置信区间（Cls），即温度低于MSA特定阈值降低1°C。年龄分层和特定原因的HA分别建模。结果：大多数德克萨斯州MSA与HA风险增加相关，范围从0.1％到3.3％，并且温度低于寒冷阈值降低1°C。合并效应估计为，全因性HA风险随温度降低1°C而增加1.4％（95％Cl：0.9％，1.9％）。在东部和南部的大多数MSA中，还检查并观察了德克萨斯州的冷浪影响。感冒对全因HA的影响在75岁以上人群中最高（2.0％，95％Cl：1.1％，3.0％）。在肺炎（3.4％，95％Cl：2.8％，4.0％）中，针对特定原因的HA关联的汇总估计最强，其次是慢性阻塞性肺疾病（3.2％，95％Cl：2.1％，4.5％）和呼吸系统疾病（2.4％，95％Cl：2.0％，2.9％）。结论：寒冷的天气通常会大大增加德克萨斯州的入院风险，而寒冷的影响在德克萨斯州在空间上是异质的。我们的发现可以为针对目标脆弱人群设计更好的干预策略以减少寒冷天气对健康的不利影响提供见解。

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