University of Michigan School of Public Health, Ann Arbor, MI 48109, USA.
Maturitas. 2011 Jul;69(3):197-202. doi: 10.1016/j.maturitas.2011.04.004. Epub 2011 May 17.
Winter weather patterns are anticipated to become more variable with increasing average global temperatures. Research shows that excess morbidity and mortality occurs during cold weather periods. We critically reviewed evidence relating temperature variability, health outcomes, and adaptation strategies to cold weather. Health outcomes included cardiovascular-, respiratory-, cerebrovascular-, and all-cause morbidity and mortality. Individual and contextual risk factors were assessed to highlight associations between individual- and neighborhood-level characteristics that contribute to a person's vulnerability to variability in cold weather events. Epidemiologic studies indicate that the populations most vulnerable to variations in cold winter weather are the elderly, rural and, generally, populations living in moderate winter climates. Fortunately, cold-related morbidity and mortality are preventable and strategies exist for protecting populations from these adverse health outcomes. We present a range of adaptation strategies that can be implemented at the individual, building, and neighborhood level to protect vulnerable populations from cold-related morbidity and mortality. The existing research justifies the need for increased outreach to individuals and communities for education on protective adaptations in cold weather. We propose that future climate change adaptation research couple building energy and thermal comfort models with epidemiological data to evaluate and quantify the impacts of adaptation strategies.
预计随着全球平均气温的升高,冬季天气模式将变得更加多变。研究表明,在寒冷天气期间会出现过多的发病率和死亡率。我们批判性地回顾了与温度变化、健康结果和适应寒冷天气的策略有关的证据。健康结果包括心血管、呼吸、脑血管和全因发病率和死亡率。评估了个体和环境风险因素,以突出个人和社区特征之间的关联,这些特征导致个人对寒冷天气事件变化的脆弱性。流行病学研究表明,最容易受到寒冷冬季天气变化影响的人群是老年人、农村地区以及一般居住在温和冬季气候中的人群。幸运的是,与寒冷相关的发病率和死亡率是可以预防的,并且存在保护人群免受这些不良健康结果影响的策略。我们提出了一系列可以在个人、建筑物和社区层面实施的适应策略,以保护弱势群体免受与寒冷相关的发病率和死亡率的影响。现有研究证明,需要加强对个人和社区的宣传,以了解寒冷天气下的保护适应措施。我们建议,未来的气候变化适应研究将建筑能源和热舒适度模型与流行病学数据相结合,以评估和量化适应策略的影响。