Impact of extreme temperature on hospital admission in Shanghai, China
Impact of extreme temperature on hospital admission in Shanghai, China
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DOI：
10.1016/j.scitotenv.2011.06.042
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发表时间：
2011-09-01
影响因子：
9.8
通讯作者：
Kan, Haidong
中科院分区：
文献类型：
--
作者：
Ma, Wenjuan;Xu, Xiaohui;Kan, Haidong
中国此前尚无研究探讨极端温度对发病结果的影响。在这项研究中，我们调查了热浪和寒潮对中国上海入院的影响。 2005年1月1日至2008年12月31日期间每日住院数据来自上海市医疗保险局。热浪被定义为研究期间至少连续7天日最高气温高于35.0摄氏度且日平均气温高于97%的时期。寒潮被定义为研究期间至少连续7天日最高气温和日平均气温低于第三个百分点的时期。我们计算了超额住院病例和比率 (RR)，以估计热浪和寒流对入院的影响。我们在2005年至2008年间确定了一个热浪期（2007年7月24日至8月2日）和一个寒潮期（2008年1月28日至2月3日）。热浪与2%（95% CI：1%-4%）、8%（95% CI：5%-11%）和6%（95% CI：0%-11%）相关。心血管和呼吸系统住院总人数增加。寒流与心血管和呼吸系统住院总人数增加 38%（95%CI：35%、40%）、33%（95%CI：28%、37%）和 32%（95%CI：24%、40%）相关。对于所有原因和心血管原因，热浪和寒流相关入院之间的差异具有统计学意义，但对于呼吸系统原因则不显着。总之，热浪和寒潮都与上海入院风险增加相关。寒潮对入院的影响似乎比热浪更大。应制定公共卫生计划，以预防城市中与极端气温相关的健康问题。 (C) 2011 Elsevier B.V. 保留所有权利。
No previous study exists in China examining the impact of extreme temperature on morbidity outcomes. In this study, we investigated the impact of heat waves and cold spells on hospital admission in Shanghai, China. Daily hospital admission data between January 1, 2005 and December 31, 2008 were collected from the Shanghai Health Insurance Bureau. The heat wave was defined as a period of at least 7 consecutive days with daily maximum temperature above 35.0 degrees C and daily average temperatures above the 97th percentile during the study period. The cold spell was defined as a period of at least 7 consecutive days with daily maximum temperature and daily average temperatures below the 3rd percentile during the study period. We calculated excess cases of hospitalization and rate ratios (RRs) to estimate the impacts of both heat wave and cold spell on hospital admission. We identified one heat wave period (from 24 July to 2 August, 2007) and one cold spell period (from 28 January to 3 February, 2008) between 2005 and 2008. The heat wave was associated with 2% (95% Cl: 1%-4%), 8% (95%CI: 5%-11%), and 6% (95%CI: 0%-11%) increase of total, cardiovascular and respiratory hospital admission. The cold spell was associated with 38% (95%CI: 35%, 40%), 33% (95%CI: 28%, 37%) and 32% (95%CI: 24%, 40%) increase of total, cardiovascular and respiratory hospital admission. The differences between heat wave and cold spell-related hospital admission were statistically significant for all causes and cardiovascular causes, but not for respiratory causes. In conclusion, both heat wave and cold spell were associated with increased risk of hospital admissions in Shanghai. Cold spell seemed to have a larger impact on hospital admission than heat wave. Public health programs should be tailored to prevent extreme temperature-related health problems in the city. (C) 2011 Elsevier B.V. All rights reserved.