Lostao Unzu, Lourdes
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Lostao Unzu
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Lourdes
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Sociología y Trabajo Social
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I-COMMUNITAS. Institute for Advanced Social Research
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Publication Open Access Excess mortality during 2020 in Spain: the most affected population, age, and educational group by the Covid-19 pandemic(Cambridge University Press, 2024-02-19) Pulido, José; Barrio, Gregorio; Donat, Marta; Politi, Julieta; Moreno Lostao, Almudena; Cea-Soriano, Lucía; Guerras, Juan M.; Huertas, Lidia; Mateo-Urdiales, Alberto; Ronda, Elena; Martínez, David; Lostao Unzu, Lourdes; Belza, María José; Regidor Poyatos, Enrique; Sociología y Trabajo Social; Soziologia eta Gizarte Lana; Institute for Advanced Social Research - ICOMMUNITAS; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa.Objective: The objective of this work was to study mortality increase in Spain during the first and second academic semesters of 2020, coinciding with the first 2 waves of the Covid-19 pandemic; by sex, age, and education. Methods: An observational study was carried out, using linked populations and deaths' data from 2017 to 2020. The mortality rates from all causes and leading causes other than Covid-19 during each semester of 2020, compared to the 2017-2019 averages for the same semester, was also estimated. Mortality rate ratios (MRR) and differences were used for comparison. Results: All-cause mortality rates increased in 2020 compared to pre-covid, except among working-age, (25-64 years) highly-educated women. Such increases were larger in lower-educated people between the working age range, in both 2020 semesters, but not at other ages. In the elderly, the MMR in the first semester in women and men were respectively, 1.14, and 1.25 among lower-educated people, and 1.28 and 1.23 among highly-educated people. In the second semester, the MMR were 1.12 in both sexes among lower-educated people and 1.13 in women and 1.16 in men among highly-educated people. Conclusion: Lower-educated people within working age and highly-educated people at older ages showed the greatest increase in all-cause mortality in 2020, compared to the pre-pandemic period.Publication Open Access Cardiovascular mortality and risk behaviours by degree of urbanization before, during and after the economic crisis in Spain(BioMed Central, 2019) Moreno Lostao, Almudena; Guerras, Juan M.; Lostao Unzu, Lourdes; Fuente, Luis de la; Martínez, David; Rodríguez Artalejo, Fernando; Regidor Poyatos, Enrique; Sociología y Trabajo Social; Soziologia eta Gizarte LanaBackground: To estimate the relationship of the degree of urbanization to cardiovascular mortality and to risk behaviours before, during and after the 2008 economic crisis in Spain. Methods: In three areas of residence - large urban areas, small urban areas and rural areas - we calculated the rate of premature mortality (0-74 years) from cardiovascular diseases before the crisis (2005-2007), during the crisis (2008-2010 and 2011-2013) and after the crisis (2014-2016), and the prevalence of risk behaviours in 2006, 2011 and 2016. In each period we estimated the mortality rate ratio (MRR) and the prevalence ratio, taking large urban areas as the reference. Results: In men, no significant differences were observed in mortality between the two urban areas, while the MRR in rural areas went from 0.92 [95% confidence interval, 0.90-0.94) in 2005-2007 to 0.94 (0.92-0.96) in 2014-2016. In women, no significant differences were observed in mortality between the rural and large urban areas, whereas the MRR in small urban areas decreased from 1.11 (1.08-1.14) in 2005-2007 to 1.06 (1.02-1.09) in 2014-2016. The rural areas had the lowest prevalence of smoking, obesity and physical inactivity in men, and of obesity in women. No significant differences were observed in smoking or physical inactivity by area of residence in women. Conclusion: The pattern of cardiovascular mortality by degree of urbanization was similar before and after the crisis, although in women the excess mortality in small urban areas with respect to large urban areas was smaller after the crisis. The different pattern of risk behaviours in men and women, according to area of residence, could explain these findings.