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The Impact of Cold and Heat on Years of Life Lost in a Northwestern Chinese City with Temperate Continental Climate

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Publisher MDPI
Date 2019 Sep 25
PMID 31547211
Citations 2
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Abstract

Cold spells and heat waves in a changing climate are well known as great public-health concerns due to their adverse effects on human health. However, very few studies have quantified health impacts of heat and cold in the region of Northwestern China. The purpose of the present study was to evaluate the effects of cold and heat on years of life lost (YLL) in Lanzhou, a city with temperate continental climate. We compiled a daily dataset including deaths, weather variables, and air pollutants in Lanzhou, China, from 2014-2017. We used a distributed lag non-linear model to estimate single-day and cumulative effects of heat and cold on daily YLL. Results indicated that both cold and heat were associated with increased YLL for registered residents in Lanzhou. Estimated heat effects appeared immediately in the first two days, while estimated cold effects lasted over a longer period (up to 30 days). Cold significantly increased the YLL of all residents except for males and those with respiratory diseases (≥65 years). Our results showed that both heat and cold had more pronounced effects on cardiovascular diseases compared to respiratory diseases. Males might be more vulnerable to heat, while females might suffer more YLL from cold. The effects of cold or heat on the elderly might appear earlier and last longer than those for other age groups.

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References
1.
Lindeboom W, Alam N, Begum D, Streatfield P . The association of meteorological factors and mortality in rural Bangladesh, 1983-2009. Glob Health Action. 2012; 5:61-73. PMC: 3508940. DOI: 10.3402/gha.v5i0.19063. View

2.
Ma W, Yang C, Tan J, Song W, Chen B, Kan H . Modifiers of the temperature-mortality association in Shanghai, China. Int J Biometeorol. 2011; 56(1):205-7. DOI: 10.1007/s00484-011-0406-9. View

3.
Schneider A, Panagiotakos D, Picciotto S, Katsouyanni K, Lowel H, Jacquemin B . Air temperature and inflammatory responses in myocardial infarction survivors. Epidemiology. 2008; 19(3):391-400. DOI: 10.1097/EDE.0b013e31816a4325. View

4.
Gasparrini A . Distributed Lag Linear and Non-Linear Models in R: The Package dlnm. J Stat Softw. 2011; 43(8):1-20. PMC: 3191524. View

5.
Hajat S, Vardoulakis S, Heaviside C, Eggen B . Climate change effects on human health: projections of temperature-related mortality for the UK during the 2020s, 2050s and 2080s. J Epidemiol Community Health. 2014; 68(7):641-8. DOI: 10.1136/jech-2013-202449. View