Temperature Changes between Neighboring Days and Mortality in Summer: A Distributed Lag Non-Linear Time Series Analysis

Abstract

BackgroundMany studies have shown that high temperatures or heat waves were associated with mortality and morbidity. However, few studies have examined whether temperature changes between neighboring days have any significant impact on human health.MethodA distributed lag non-linear model was employed to investigate the effect of temperature changes on mortality in summer during 2006–2010 in two subtropical Chinese cities. The temperature change was defined as the difference of the current day’s and the previous day’s mean temperature.ResultsWe found non-linear effects of temperature changes between neighboring days in summer on mortality in both cities. Temperature increase was associated with increased mortality from non-accidental diseases and cardiovascular diseases, while temperature decrease had a protective effect on non-accidental mortality and cardiovascular mortality in both cities. Significant association between temperature changes and respiratory mortality was only found in Guangzhou.ConclusionThis study suggests that temperature changes between neighboring days might be an alternative temperature indicator for studying temperature-mortality relationship.

Assessing the possible impacts of temperature change on air quality and public health in Beijing, 2008–2012

“…This temperature may vary according to different locations. The results are slightly consistent with the previous studies which found that when the temperature was about 25°C, it was examined as an optimum ambient temperature, which was similar to the indoor temperature level with air conditioner (Lin et al 2013;Plavcová and Kyselý 2010;Yan et al 2011). Furthermore, we observed different effects for the different increased temperature fluctuations on RHOs stratified by age groups.…”

“…Third, with respect to the protective effects on the females and individuals among 46-60 and 61-75 age groups for the decrease in temperature in the heating period, the results indicate the existence of optimum ambient temperature (Lin et al 2013;Yan et al 2011). This temperature may vary according to different locations.…”

“…Lin et al (2013) found that large temperature decrease was followed by a significant decrease in both all-cause mortality and cardiovascular mortality, and temperature increase was associated with increased risk of mortality from non-accidental and cardiovascular diseases in both Guangzhou and Toishan. Kyobutungi et al (2005) investigated the relationship between ischemic stroke occurrence and the TC in 24 h, but without considering the impact of different seasons.…”

“…First, diseases of the respiratory system are the leading cause of both death and disease burden in the city of Beijing, but previous literatures seldom explore the relationship between temperature fluctuations and respiratory health outcomes (RHOs) (Cheng et al 2014;Lin et al 2013). Second, Beijing has a distinct heating period, and this period is a major risk factor for air quality issues and many diseases (Bertaccini et al 2012;Lin et al 2013). Third, modification effect of the exposure to RHO stratified by genders, age groups, and the lag days is also neglected.…”

Effects of Meteorological Conditions on the Risk of Ischemic Stroke Events in Patients Treated with Alteplase—HEWS-tPA

“…1,2 Diseases that are affected by changes in daily weather conditions, such as cardiovascular and respiratory diseases, are called meteorotropic diseases. Several studies have demonstrated a seasonal variation and an influence of meteorological factors on the occurrence of ischemic stroke events.…”