Literature DB >> 18799511

Winter mortality modifies the heat-mortality association the following summer.

J Rocklöv1, B Forsberg, K Meister.   

Abstract

The present study aimed to investigate how the heat-related increase in deaths in summer and the extent of mortality displacement depend on influenza and other categories of mortality in the previous winter, which when low leaves a greater pool of susceptible individuals. Mortality data from Stockholm, Sweden, from 1990-2002 were stratified into a summer period and a winter period. A Poisson regression model was established for the daily mortality in the summer, with temperature and confounders as explanatory variables. In addition, indicators of total, respiratory, cardiovascular and influenza mortality of the winter period were incorporated as effect modifiers in the summer model, and lagged effects in strata defined by indicators were studied. A high rate of respiratory as well as cardiovascular mortality in winter reduced the heat effect the following summer, and influenza mortality tended to do so as well. The cumulative effect per degrees C increase was 0.79% below and 0.88% [corrected] above a threshold (21.3 degrees C) after a winter with low cardiovascular and respiratory mortality, but modified with -0.29% [corrected] below and -0.04% [corrected] above the threshold after a winter with high cardiovascular and respiratory mortality. The current study shows that high respiratory, cardiovascular and influenza mortality in winter leads to lower temperature effects in the following summer. It also suggests that persons for whom influenza may be fatal are often also susceptible to heat and this subgroup might, therefore, not benefit as much as expected from influenza vaccinations.

Entities:  

Mesh:

Year:  2008        PMID: 18799511     DOI: 10.1183/09031936.00037808

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  34 in total

1.  Temperature deviation index and elderly mortality in Japan.

Authors:  Youn-Hee Lim; Colleen E Reid; Yasushi Honda; Ho Kim
Journal:  Int J Biometeorol       Date:  2015-10-28       Impact factor: 3.787

2.  Climate change and future temperature-related mortality in 15 Canadian cities.

Authors:  Sara Lauretta Martin; Sabit Cakmak; Christopher Alan Hebbern; Mary-Luyza Avramescu; Neil Tremblay
Journal:  Int J Biometeorol       Date:  2011-05-20       Impact factor: 3.787

Review 3.  Life Expectancy: Frequently Used, but Hardly Understood.

Authors:  Marc Luy; Paola Di Giulio; Vanessa Di Lego; Patrick Lazarevič; Markus Sauerberg
Journal:  Gerontology       Date:  2019-08-07       Impact factor: 5.140

4.  Shifts in the seasonal distribution of deaths in Australia, 1968-2007.

Authors:  Charmian M Bennett; Keith B G Dear; Anthony J McMichael
Journal:  Int J Biometeorol       Date:  2013-04-24       Impact factor: 3.787

5.  Economic Evaluation of Vaccination Programmes in Older Adults and the Elderly: Important Issues and Challenges.

Authors:  Sevan Dirmesropian; James G Wood; C Raina MacIntyre; Philippe Beutels; Anthony T Newall
Journal:  Pharmacoeconomics       Date:  2016-08       Impact factor: 4.981

6.  Improving the estimation of influenza-related mortality over a seasonal baseline.

Authors:  Edward Goldstein; Cecile Viboud; Vivek Charu; Marc Lipsitch
Journal:  Epidemiology       Date:  2012-11       Impact factor: 4.822

7.  Geographical differences on the mortality impact of heat waves in Europe.

Authors:  Jordi Sunyer
Journal:  Environ Health       Date:  2010-07-16       Impact factor: 5.984

8.  Comparing approaches for studying the effects of climate extremes - a case study of hospital admissions in Sweden during an extremely warm summer.

Authors:  Joacim Rocklöv; Bertil Forsberg
Journal:  Glob Health Action       Date:  2009-11-11       Impact factor: 2.640

9.  The effect of high ambient temperature on the elderly population in three regions of Sweden.

Authors:  Joacim Rocklöv; Bertil Forsberg
Journal:  Int J Environ Res Public Health       Date:  2010-06-14       Impact factor: 3.390

10.  High temperatures-related elderly mortality varied greatly from year to year: important information for heat-warning systems.

Authors:  Yuming Guo; Adrian G Barnett; Shilu Tong
Journal:  Sci Rep       Date:  2012-11-09       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.