2026-05-21T23:06:55Zhttps://repisalud.isciii.es/rest/oai/request

oai:repisalud.isciii.es:20.500.12105/142152025-06-19T13:30:29Zcom_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_19613

00925njm 22002777a 4500 dc Lopez-Bueno, Jose Antonio author Navas-Martin, Miguel Angel author Diaz-Jimenez, Julio author Mirón, Isidro Juan author Luna, María Yolanda author Sánchez-Martínez, Gerardo author Culqui, Dante Roger author Linares-Gil, Cristina author 2021-06-19 Background: While many studies analyze the effect of extreme thermal events on health, little has been written about the effects of extreme cold on mortality. This scarcity of papers is particularly relevant when we search studies about extreme cold on the health of rural population. Therefore, we tried to analyze the effect of cold waves on urban areas and rural areas from Madrid and to test whether differentiated effects exist between both population classes. For this purpose, we analyzed data from the municipalities with over 10,000 inhabitants for the period from January 1, 2000 through December 31, 2013. Municipalities were classified as urban or rural (Eurostat), and they were grouped into similar climatological zones: Urban Metropolitan Centre (UMC), Rural Northern Mountains (RNM), Rural Centre (RC) and Southern Rural (SR). The dependent variable was the daily mortality rate due to natural causes per million inhabitants (CIE-X: A00-R99) that occurred between the months of November and March for the period. The independent variable was minimum daily temperature (ºC) (Tmin). Social and demographic contextual variables were used, including: population > age 64 (%), deprivation index and housing indicators. The analysis was carried out in three phases: (1) determination of the threshold temperature (Tthreshold) which defines the cold waves; (2) determination of the relative risk (RR) for cold waves using Poisson linear regression (GLM); and (3) using GLM of the binomial family, Odds Ratios (OR) were calculated to analyze the relationship between the frequency of the appearance of cold waves and the socioeconomic variables. Results:The UMC zone experienced 585 extreme cold events related to attributable increases in the mortality rate. The average number of cold waves in the rural zones was 319. The primary risk factor was the percentage of population over age 64, and the primary protective factor was housing rehabilitation. As a whole, the period experienced more cold waves (1542) than heat waves (1130). Conclusion: The UMC was more vulnerable than the rural areas. Furthermore, the results support the development of prevention policies, especially considering the fact that cold wave events were more frequent than heat waves. Environ Sci Eur. 2021; 33, 72. 10.1186/s12302-021-00512-z 2190-4715 2190-4707 Environmental Sciences Europe http://hdl.handle.net/20.500.12105/14215 Cold waves Mortality Urban–rural Deprivation Building quality Aging The effect of cold waves on mortality in urban and rural areas of Madrid