环境空气温度和温度变化对血压的影响——德国奥格斯堡的一项重复测量研究

M. Woeckel, A. Schneider, J. Cyrys, K. Wolf, C. Meisinger, M. Heier, A. Peters, S. Breitner
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摘要

环境空气温度和温度变异性被认为会影响血压(BP);然而,研究结果并不一致。在一项重复测量研究中,我们检查了环境温度和温度变异性的短期变化对收缩压(SBP)、舒张压(DBP)、平均动脉压(MAP)和脉压(PP)的影响。来自德国奥格斯堡地区基于人群的合作健康研究(KORA)S4调查(1999-2001年)和两次随访检查(2006-208年和2013-14年)的3184名参与者可重复测量血压。从固定的测量站获得每日气象数据,包括气温和昼夜温度范围(DTR)。我们使用混杂因素调整的加性混合模型来检验即时(当天,滞后0)、延迟(滞后1至滞后4)和累积(直至滞后0–13)暴露效应。空气温度的降低与收缩压、舒张压和MAP的增加有关,而我们观察到对PP没有任何影响。例如,14天移动平均气温下降1°C(滞后0-13)与0.54%[95%置信区间[95%CI]:0.41%有关;0.68%]增加SBP。此外,DTR的降低与SBP、DBP和MAP测量的增加有关。在敏感性分析中,结果是稳健的。根据季节对暴露-反应函数的检查表明,夏季和冬季的关联可以被认为是线性的,而我们在春季和秋季检测到了非线性函数。此外,在三项不同的调查中,暴露-反应函数也有所不同。由于血压水平影响心血管死亡的风险,我们的研究结果表明,将温度及其变化视为潜在风险因素的重要性。由于持续的气候变化会影响温度变化,了解身体如何适应不断变化的环境温度很重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ambient air temperature and temperature variability affecting blood pressure—a repeated-measures study in Augsburg, Germany
Ambient air temperature and temperature variability are supposed to influence blood pressure (BP); however, findings are inconsistent. We examined the effects of short-term changes in ambient temperature and temperature variability on systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP) in a repeated-measures study. Repeated BP measurements were available for 3184 participants from the German population-based Cooperative Health Research in the Region of Augsburg (KORA) S4 survey (1999–2001) and two follow-up examinations (2006–08 and 2013–14). Daily meteorological data were obtained from fixed measurement stations including air temperature and diurnal temperature range (DTR). We used confounder-adjusted additive mixed models to examine immediate (same-day, lag 0), delayed (lag 1 to lag 4), and cumulative (up to lag 0–13) exposure effects. Decreases in air temperature were associated with increases in SBP, DBP, and MAP, while we observed no effects for PP at all. For example, a 1 °C decrease in the 14-day moving average (lag 0–13) mean air temperature was associated with a 0.54% [95% confidence interval [95%CI]: 0.41%;0.68%] increase in SBP. Furthermore, decreasing DTR was linked to increasing SBP, DBP, and MAP measures. In the sensitivity analyses, results were found to be robust. Examination of exposure–response functions according to season revealed, that associations for summer and winter can be considered linear, while we detected non-linear functions in spring and autumn. Furthermore, exposure–response functions also differed in the three different surveys. As BP levels influence the risk of cardiovascular mortality, our results show the importance of considering temperature and its variation as potential risk factors. As ongoing climate change affects temperature variability, it is important to understand how the body adapts to changing ambient temperatures.
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