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Temporal relationship between hospital admissions for pneumonia and weather conditions in Shanghai, China: a time-series analysis

机译:中国上海市肺炎住院与天气状况的时间关系:时间序列分析

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Objectives To explore the association between weather conditions and hospital admissions for pneumonia in Shanghai. Design A time-series analysis was performed for a period of 4?years (January 2008–December 2011). A generalised additive model was used to calculate the relative risks. Setting Shanghai, China. Participants All daily hospital admissions for pneumonia were obtained from the Shanghai health insurance system between 1 January 2008 and 31 December 2011 (n=99?403). Results The relationship between the mean temperature and pneumonia hospital admissions followed a V-shaped curve, with an optimum temperature (OT) at 13°C. When the mean temperature was below the OT, a 1°C decrease corresponded to a 4.88% (95% CI 2.71% to 7.09%) and 5.34% (95% CI 2.04% to 8.74%) increase in pneumonia hospital admissions in lag 4 using a single-day lag structure and lag 0–7 using a multiday lag structure. When the mean temperature ≥OT, no adverse effects from the temperature on pneumonia hospital admissions were found. The magnitude of the effects of temperature varied across gender and age groups. Hospitalisations for pneumonia increased by 15.99% (95% CI 0.06% to 34.46%) in the cold period. Conclusions Cold temperature may be one of the important risk factors for pneumonia hospitalisations. Prevention programmes are needed to reduce the impact of cold temperature on pneumonia hospitalisations such as developing a weather warning system within a wide public health context.
机译:目的探讨上海市天气状况与住院肺炎的关系。设计进行了为期4年(2008年1月至2011年12月)的时间序列分析。使用广义加性模型来计算相对风险。设置中国上海。参加者在2008年1月1日至2011年12月31日期间,所有日常肺炎住院病例均来自上海健康保险体系(n = 99-403)。结果平均温度与肺炎住院人数之间的关系呈V形曲线,最适温度(OT)为13°C。当平均温度低于OT时,肺炎住院患者的肺炎住院时间下降1°C相当于增加4.88%(95%CI 2.71%至7.09%)和5.34%(95%CI 2.04%至8.74%)使用单日滞后结构,使用0-7滞后使用多日滞后结构。当平均温度≥OT时,未发现该温度对肺炎住院患者产生不利影响。温度影响的程度随性别和年龄组而异。在寒冷时期,肺炎的住院治疗增加了15.99%(95%CI为0.06%至34.46%)。结论低温可能是肺炎住院的重要危险因素之一。需要采取预防措施来减少低温对肺炎住院的影响,例如在广泛的公共卫生背景下开发天气预警系统。

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