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本文引用的文献

1
Predicting indoor heat exposure risk during extreme heat events.预测极端高温事件期间的室内热暴露风险。
Sci Total Environ. 2014 Aug 15;490:686-93. doi: 10.1016/j.scitotenv.2014.05.039. Epub 2014 Jun 2.
2
Weather effects on the patterns of people's everyday activities: a study using GPS traces of mobile phone users.天气对人们日常活动模式的影响:一项基于手机用户 GPS 轨迹的研究。
PLoS One. 2013 Dec 18;8(12):e81153. doi: 10.1371/journal.pone.0081153. eCollection 2013.
3
Assessment of daily light and ultraviolet exposure in young adults.年轻人日常光照及紫外线暴露情况评估。
Optom Vis Sci. 2013 Feb;90(2):148-55. doi: 10.1097/OPX.0b013e31827cda5b.
4
The influence of the macro-environment on physical activity: a multilevel analysis of 38 countries worldwide.宏观环境对身体活动的影响:对全球 38 个国家的多层次分析。
Int J Behav Nutr Phys Act. 2012 Sep 11;9:110. doi: 10.1186/1479-5868-9-110.
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Evaluation of a heat vulnerability index on abnormally hot days: an environmental public health tracking study.评估异常高温天气下的热脆弱性指数:一项环境公共卫生跟踪研究。
Environ Health Perspect. 2012 May;120(5):715-20. doi: 10.1289/ehp.1103766. Epub 2012 Jan 31.
6
Exposure to natural cold and heat: hypothermia and hyperthermia Medicare claims, United States, 2004-2005.暴露于自然寒冷和炎热环境:2004-2005 年美国医疗保险索赔中的体温过低和体温过高。
Am J Public Health. 2012 Apr;102(4):e11-8. doi: 10.2105/AJPH.2011.300557. Epub 2012 Feb 16.
7
Personal and ambient exposures to air toxics in Camden, New Jersey.新泽西州卡姆登市个人及周围环境中的空气有毒物质暴露情况。
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8
Geostatistical exploration of spatial variation of summertime temperatures in the Detroit metropolitan region.底特律都会区夏季温度空间变化的地质统计学探索。
Environ Res. 2011 Nov;111(8):1046-53. doi: 10.1016/j.envres.2011.08.012. Epub 2011 Sep 14.
9
Using near real-time morbidity data to identify heat-related illness prevention strategies in North Carolina.利用近乎实时的发病数据,确定北卡罗来纳州与热相关疾病的预防策略。
J Community Health. 2012 Apr;37(2):495-500. doi: 10.1007/s10900-011-9469-0.
10
Ambient temperature and morbidity: a review of epidemiological evidence.环境温度与发病:流行病学证据综述。
Environ Health Perspect. 2012 Jan;120(1):19-28. doi: 10.1289/ehp.1003198. Epub 2011 Aug 8.

测量城乡环境中的个人热暴露情况。

Measuring personal heat exposure in an urban and rural environment.

作者信息

Bernhard Molly C, Kent Shia T, Sloan Meagan E, Evans Mary B, McClure Leslie A, Gohlke Julia M

机构信息

Department of Environmental Health Sciences, School of Public Health, University of Alabama at Birmingham (UAB), Birmingham, AL 35294, USA.

Department of Epidemiology, School of Public Health, UAB, Birmingham, AL 35294, USA.

出版信息

Environ Res. 2015 Feb;137:410-8. doi: 10.1016/j.envres.2014.11.002. Epub 2015 Jan 22.

DOI:10.1016/j.envres.2014.11.002
PMID:25617601
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4355189/
Abstract

Previous studies have linked heat waves to adverse health outcomes using ambient temperature as a proxy for estimating exposure. The goal of the present study was to test a method for determining personal heat exposure. An occupationally exposed group (urban groundskeepers in Birmingham, AL, USA N=21), as well as urban and rural community members from Birmingham, AL (N=30) or west central AL (N=30) wore data logging temperature and light monitors clipped to the shoe for 7 days during the summer of 2012. We found that a temperature monitor clipped to the shoe provided a comfortable and feasible method for recording personal heat exposure. Ambient temperature (°C) recorded at the nearest weather station was significantly associated with personal heat exposure [β 0.37, 95%CI (0.35, 0.39)], particularly in groundskeepers who spent more of their total time outdoors [β 0.42, 95%CI (0.39, 0.46)]. Factors significantly associated with lower personal heat exposure include reported time indoors [β -2.02, 95%CI (-2.15, -1.89)], reported income>20K [β -1.05, 95%CI (-1.79, -0.30)], and measured % body fat [β -0.07, 95%CI (-0.12, -0.02)]. There were significant associations between income and % body fat with lower indoor and nighttime exposures, but not with outdoor heat exposure, suggesting modifications of the home thermal environment play an important role in determining overall heat exposure. Further delineation of the effect of personal characteristics on heat exposure may help to develop targeted strategies for preventing heat-related illness.

摘要

以往的研究通过使用环境温度作为估计暴露程度的替代指标,将热浪与不良健康结果联系起来。本研究的目的是测试一种确定个人热暴露的方法。一个职业暴露组(美国阿拉巴马州伯明翰市的城市场地管理员,N = 21)以及来自阿拉巴马州伯明翰市(N = 30)或阿拉巴马州中西部(N = 30)的城市和农村社区成员在2012年夏季将数据记录温度和光照监测器夹在鞋子上佩戴7天。我们发现,夹在鞋子上的温度监测器为记录个人热暴露提供了一种舒适且可行的方法。在最近气象站记录的环境温度(°C)与个人热暴露显著相关[β 0.37,95%置信区间(0.35,0.39)],特别是在户外总时间花费更多的场地管理员中[β 0.42,95%置信区间(0.39,0.46)]。与较低个人热暴露显著相关的因素包括报告的室内时间[β -2.02,95%置信区间(-2.15,-1.89)]、报告收入>20K[β -1.05,95%置信区间(-1.79,-0.30)]以及测量的体脂百分比[β -0.07,95%置信区间(-0.12,-0.02)]。收入和体脂百分比与较低的室内和夜间暴露之间存在显著关联,但与户外热暴露无关,这表明家庭热环境的改善在确定总体热暴露中起着重要作用。进一步明确个人特征对热暴露的影响可能有助于制定预防与热相关疾病的针对性策略。