期刊文献+

2008-2012年马鞍山市某地区的昼夜温差与每日死亡的时间序列研究 被引量:7

A time-series study on diurnal temperature range and daily mortality in Maanshan City,2008- 2012
原文传递
导出
摘要 目的调查昼夜温差对死亡率的影响。方法搜集马鞍山市气象部门和马鞍山市花山区卫生局提供的2008年1月1日~2012年12月31日每日的死亡数量和气象数据,包括最高温度,最低温度,平均温度,相对湿度。使用泊松广义线性回归模型结合分布滞后非线性模型(distributed lag non-linear model,DLNM),控制平均温度,相对湿度,季节性和长期趋势,分析昼夜温差对死亡影响的滞后效应以及累积效应。结果马鞍山市花山区2008-2012年间的因病死亡总数为8 111例(去除意外死亡数),其中男性5 193(64%)例,大于65岁的5 742(71%)例。该期间最高平均温度为34.5℃,最低平均温度为-3.9℃。昼夜温差的变化范围为1℃~25℃。昼夜温差每增加5℃能够显著性增加人群4%的死亡发生风险(RR=1.04,95%CI:1.02~1.07)。在不同性别和不同年龄组之间,男性和老人(≥65岁)更容易受到昼夜温差的影响。昼夜温差每增加5℃导致男性和老人死亡的相对危险度分别为1.05(95%CI:1.02~1.09);1.05(95%CI:1.02~1.08)。结论较大的昼夜温差能够显著性的增加死亡风险,并存在一定的滞后性;男性和老人的死亡风险更容易受到昼夜温差的影响。当昼夜温差较大时,应积极采取有效的应对措施来防止其带来的严重影响。 Objective To investigate the impact of diurnal temperature range( DTR) on mortality. Methods Meteorological data,including daily maximum temperature,daily minimum temperature,daily mean temperature and daily relative humidity,and daily death counts were provided by Maanshan meteorological department and Health Bureau of Huashan district from January 1,2008 to December 31,2012. A Poisson generalized linear regression model combined with distributed lag non-linear model was used to estimate the impact of DTR on mortality. We controlled the potential confound factors,inclusion of mean temperature,relative humidity,seasonality and long-term trends. Results 8 111 deaths occurred during 2008- 2012 in Huashan district of Maanshan. The number of deaths for male and people aged 65 and older were 5 193( 64%) and 5 742( 71%),respectively. The mean temperature varied from 34. 5℃ to-3. 9℃ and DTR varied from 1℃ to 25℃. DTR could significantly increase the risk of mortality,with the RR being 1. 04( 95% CI: 1. 02-1. 07) for 5℃ increase in DTR. Compared with female and people less than 65,male and people aged 65 and older were more vulnerable to the DTR. For a 5℃ increase in DTR,the relative risks were 1. 05( 95% CI: 1. 02-1. 09),1. 05( 95% CI: 1. 02-1. 08) for male and people aged 65 and older,respectively. Conclusions A large DTR can significantly increase the risk of death with the effects lagged. Male and people aged 65 and older are more sensitive to the DTR. When a large DTR appears,some prevention measures should be taken into account to minimize the impact of DTR.
出处 《中华疾病控制杂志》 CAS 北大核心 2014年第4期312-316,共5页 Chinese Journal of Disease Control & Prevention
基金 安徽省自然科学基金(1408085MH159) 安徽医科大学七年制临床医学专业早期接触科研训练项目(2013-ZQKY-88)
关键词 昼夜温差 死亡率 时间序列 Diurnal temperature range Mortality Time-series
  • 相关文献

参考文献25

  • 1IPCC (Intergovernmental Panel on Climate Change) Summary for policymakers. In: Climate change 2013: the physical science basis. Contribution of Working Group to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [M J. Cambridge: Cambridge University Press, 2013.
  • 2WHO. Protecting health from climate change [EB/OL] (2013- 07-01) [2013-09-01]. www. who. intlentity/world-health-day/previous/2008/en/.
  • 3Barnett AG. Temperature and cardiovascular deaths in the US elderly [J]. Epidemiology, 2007,18 (3) :369-372.
  • 4Barnett AG, Tong S, Clements AC. What measure of temperature is the best predictor of mortality? [J]. Environ Res, 2010,110 (6) : 604-611.
  • 5Guo Y, Barnett AG, Pan X, et al. The impact of temperature on mortality in Tianjin, China: a case-crossover design with a distributed lag nonlinear model [J]. Environ Health Perspective, 2011, 119(12) :1719-1725.
  • 6Yang J, Ou CQ, Ding Y, et al. Daily temperature and mortality: a study of distributed lag non-linear effect and effect modification in Guangzhou [J]. Environ Health, 2012, doi , 10. 1186/1476- 069X-11-63.
  • 7姚瑶,申双和.南京市气象条件对慢性阻塞性肺病发病影响的初步研究[J].中华疾病控制杂志,2013,17(6):507-510. 被引量:9
  • 8Kan H, London SJ, Chen H, et al. Diurnal temperature range and daily mortality in Shanghai, China [J]. Environ Res, 2007, 103 (3) :424-431.
  • 9Lim YH, Park AK, Kim H. Modifiers of diurnal temperature range and mortality association in six Korean cities [J]. Int J Biometeorol, 2012,56(1) :3342.
  • 10Luo Y, Zhang Y, Liu T, et al. Lagged effect of diurnal temperature range on mortality in a subtropical megacity of china [J] . PLoS One, 2013,8(2) :e55280.

二级参考文献12

共引文献8

同被引文献33

  • 1沈冲,叶冬青,翟金霞,黄芬,李向培.类风湿关节炎危险因素的病例对照研究[J].中国公共卫生,2004,20(8):987-988. 被引量:6
  • 2刘刚,单芙香,张顺祥.成人麻疹的流行现状及控制策略[J].国际流行病学传染病学杂志,2006,33(6):420-422. 被引量:42
  • 3Patberg WR, Rasker JJ. Weather effects in rheumatoid arthritis: from controversy to consensus J]. J Rheumatol, 2004,31 (7) : 1327-1334.
  • 4Gorin AA, Smyth JM, Weisberg JN, et al. Rheumatoid arthritis patients show weather sensitivity in daily life, but the relationship is not clinically significant [J]. Pain, 1999,81 (1-2) :173-177.
  • 5Verg6s J, Montell E Tombs E, et at. Weather conditions can in- fluence rheumatic diseases [J]. Proc West Pharmacol Soc, 2004, 47 : 134-136.
  • 6Hawley D J, Wolfe F, Lue FA, et al. Seasonal symptom severity in patients with rheumatic diseases: a study of I ,424 patients [ J]. J Rheumatol, 2001,28 ( 8 ) : 1900-1909.
  • 7Rozin A, Balbir-Gurman A, Schapira D. Seasonal distribution of relapse onset in rheumatoid arthritis and spondyloarthropathy: the possible effect of the solar factor [ J]. Clin Exp Rheumatol, 2003, 21(2) :161-169.
  • 8likuni N, Nakajima A, Inoue E, et al. What' s in season for rheumatoid arthritis patients? Seasonal fluctuations in disease ac- tivity [J]. rheamatology (Oxford), 2007,46(5):846-848.
  • 9Latman NS. Annual fluctuations in rheumatoid arthritis [ J ]. J Rheumatol, 1981,8(5) :725-729.
  • 10Smolen JS, Breedveld FC, Schiff MH, et al. Asimplified disease activity index for rheumatoid arthritis for use in clinical practice [ J ]. Rheumatology ( Oxford), 2003,42 ( 2 ) :244-257.

引证文献7

二级引证文献26

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部