Literature DB >> 30565077

The effect characteristics of temperature on stroke mortality in Inner Mongolia and globally.

Wenfang Guo1, Maolin Du2, Dejun Sun3, Nengjun Zhao4, Zhihui Hao3, Rina Wu3, Chao Dong2, Xiaoling Sun5, Chunfang Tian1, Liqun Gao2, Hongwei Li2, Di Yu2, Mingzhu Niu2, Ruijie Wu2, Juan Sun6.   

Abstract

The current study investigated the correlation between stroke mortality and temperature. Monthly and seasonal variations in stroke mortality were plotted and daily stroke-related deaths were calculated. The lag times were calculated using the time series analysis. The correlation between stroke incidence and the diurnal temperature range (DTR) was analyzed using case-crossover analysis. Global stroke mortality was described in five latitudes. In the eastern region of Inner Mongolia, the stroke mortality was 174.18/105, about twice of that of the midwestern regions (87.07/105), and temperature was negatively correlated with stroke mortality. Mortality peaked in the winter and troughed in the summer (χ2 = 13.634, P < 0.001). The days in which stroke-related deaths were greater than ten occurred between late October and early April. The effect of temperature on stroke incidence occurred during a lag time of 1 (P = 0.024) or 2 months (P = 0.039). A DTR over 13 °C was positively correlated (r = 0.95, P = 0.004) with stroke with a lag time of 1 day. The effect of temperature on stroke was shown to be the same for various populations. As the latitude increases, stroke mortality also increases with latitudes > 40°; the highest mortality was 188.05/105 at the highest latitude. Only in relatively cold regions as the temperature decreases does stroke mortality increase for various populations. Differences in the time lag as well as in the DTR lag and DTR critical point vary for both the temperature and region.

Entities:  

Keywords:  Diurnal temperature range; Mortality; Stroke; Temperature; Variation

Mesh:

Year:  2018        PMID: 30565077     DOI: 10.1007/s00484-018-1647-7

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


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