Temperature variation between neighboring days and mortality: a distributed lag non-linear analysis

Abstract

Temperature increase between neighboring days has a significant adverse impact on mortality. Further health mitigation strategies as a response to climate change should take into account temperature variation between neighboring days.

Health Impact of Climate Change in Older People: An Integrative Review and Implications for Nursing

“…Other studies documented that females are at a higher risk for heat‐related deaths (Dong et al., ; Nitschke et al., ; Yin & Wang, ). This is in contrast to an epidemiologic study in China reporting higher risk in males (Cheng et al., ).…”

“…Thirty percent of the studies described health impacts of climate change in terms of morbidity and mortality using large datasets from surveillance or cohort data. In general, increasing temperature is associated with an increase in mortality (Cheng et al, 2014;Dong, Zeng, Ma, Li, & Pan, 2016;Son, Lee, Anderson, & Bell, 2012;Yin & Wang, 2017). Mortality due to cardiovascular diseases was reported to increase by 24% during periods of temperatures above 27.7oC lasting for more than 5 days (Dong et al, 2016), rising to a 94% increase on the 10th day of temperatures higher than 33oC (Yin & Wang, 2017).…”

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

“…It is also perceivable that humid conditions in summer help to protect the mucous membranes against various toxic irritants (Sunyer et al 2003), and the air ways of individuals suffering from respiratory diseases seems to be protected by humidity in the air (Leitte et al 2009). In spite of this, the relationship between TC and public health has also been well documented in some other literatures (Cheng et al 2014). Normally, human body regulates the heat exchange between body and ambient temperature by physiological control .…”

“…Furthermore, Guo et al (2011) also found that the young people in Brisbane were vulnerable to a sharp raise of 3°C, while old people are sensitive to sudden drop of 3°C. It has also been found that the exposure to TC of the current day may impact the health risk of several days later (Cheng et al 2014). Furthermore, the lag effects of exposure to TC were observed different for the hot and cold season (Chen et al 2013).…”

“…However, existing works have several limitations. 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).…”