High Temperature and Hospitalizations for Cardiovascular and Respiratory Causes in 12 European Cities

Michelozzi, Paola; Accetta, Gabriele; Sario, Manuela De; D’Ippoliti, Daniela; Marino, Claudia; Baccini, Michela; Biggeri, Annibale; Anderson, Hugh; Katsouyanni, Klea; Ballester, Ferrán; Bisanti, Luigi; Cadum, Ennio; Forsberg, Bertil; Forastiére, Francesco; Goodman, Patrick; Hojs, A; Kirchmayer, Ursula; Médina, Sylvia; Páldy, Anna; Schindler, Christian; Sunyer, Jordi; Perucci, Carlo A.

doi:10.1164/rccm.200802-217oc

Cited by 498 publications

(485 citation statements)

References 32 publications

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“…High temperature may deteriorate those people suffering from chronic pulmonary diseases, thereby pre-disposing them to greater risks [11]. Michelozzi et al [12] also note similar findings, whereby extreme temperatures may exacerbate chronic pulmonary diseases due to excess heat dissipation through circulatory adjustment. On the other hand, we have observed significant but highly uncertain estimates of protective HW effects observed in 2-day 95th temperature percentile (−9.5%; 95% CI = −31.1–18.8) and 4-day, 95th temperature percentile (−6.5%; 95% CI = −28.8–22.9).…”

Section: Discussionmentioning

confidence: 94%

“…These extreme temperatures account for greater risks, and to a certain extent, when analyzed separately, in relation to duration and intensity, which are the length of day and threshold temperature, respectively, constitute the notion of heat waves (HW) [6–10]. However, there is yet to be a unifying notion of standardizing HW definitions as these vary with respect to duration and intensity of temperature in a specific geographical area [11,12]. Nevertheless, various studies have similar observations of increasing risks with increasing duration and intensity, particularly on HW days [9–11,13,14].…”

Section: Introductionmentioning

confidence: 99%

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Exploring the effects of high temperature on mortality in four cities in the Philippines using various heat wave definitions in different mortality subgroups

Seposo

Đăng

Honda

2017

Global Health Action

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Background: Sustained high temperatures, specifically heat waves (HW), increase the risk of dying, especially among risk populations, which are highly vulnerable to its additional effect. In developing countries, there are only a few studies which focused on the magnitude of the risks attributed to HWs. Objectives: This study explored the HW effects using 15 HW definitions through the combination of duration (> 2, > 4, and > 7 consecutive days) and intensity (at the ≥ 90th, ≥ 95th, ≥ 97th, ≥ 98th, and ≥ 99th temperature percentiles). Methods: Daily mortality count data from 2006–2010 were obtained from the four tropical cities of the Philippines, and were further stratified by mortality sub-groups, such as cause of death, sex, and age. The same period of daily maximum temperature and relative humidity were also collected. We used a distributed lag non-linear model to determine the risks associated with the main temperature effects, as well as the added HW effects. Results: It has been observed that the main temperature effects comprise a substantial portion of the risks compared to the HW effects, even across the mortality sub-groups. Further stratification by the sub-groups showed significant HW effects among the young and male populations. Conclusions: Results of this study can be of use to improve (1) candidate HW definition identification/selection, and (2) risk population-specific strategies, taking into consideration the risk attributions.

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Section: Discussionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Exploring the effects of high temperature on mortality in four cities in the Philippines using various heat wave definitions in different mortality subgroups

Seposo

Đăng

Honda

2017

Global Health Action

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“…2b), which accounts for the combined effect of temperature and humidity. This variable, widely used in the literature [28][29][30] , describes the body's ability to cool itself by evaporation and perspiration, especially during hot days 31 . For simplicity, only results corresponding to two of these variables are shown in this study.…”

Section: Resultsmentioning

confidence: 99%

“…S4). Given the nonlinear dependency between temperature and mortality 4,31,32 , especially for the most extreme warm temperatures 20 , the T/M relationship was defined as a polynomial of order 3. For each tail of a given area, the optimal coefficients {a 0 , a 1 , a 2 , a 3 } from were found by means of a least squares fitting of interval mean temperature and mortality data.…”

Section: Methodsmentioning

confidence: 99%

Long-term projections and acclimatization scenarios of temperature-related mortality in Europe

et al. 2011

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The steady increase in greenhouse gas concentrations is inducing a detectable rise in global temperatures. The sensitivity of human societies to warming temperatures is, however, a transcendental question not comprehensively addressed to date. Here we show the link between temperature, humidity and daily numbers of deaths in nearly 200 European regions, which are subsequently used to infer transient projections of mortality under state-of-the-art high-resolution greenhouse gas scenario simulations. our analyses point to a change in the seasonality of mortality, with maximum monthly incidence progressively shifting from winter to summer. The results also show that the rise in heat-related mortality will start to completely compensate the reduction of deaths from cold during the second half of the century, amounting to an average drop in human lifespan of up 3-4 months in 2070-2100. nevertheless, projections suggest that human lifespan might indeed increase if a substantial degree of adaptation to warm temperatures takes place.

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“…For those publications that do exist, most concern the impact of a specific climate change effect (temperature rise, extreme events, sea-level rise) on a particular socioeconomic field of an urban complex. Systematic case studies are available but are mostly on the impacts of climate on human health Hajat and Kosatky 2009;Michelozzi et al 2009;Rocklöv and Forsberg 2010;Baccini et al 2011) and do not address the impact of sea-level rise on the various regions and cities of the Baltic Sea basin (Schmidt-Thomé 2006), or are global studies that happen to include cities from the Baltic Sea region (Nicholls et al 2007). The impacts of climate change on the different socioeconomic elements of urban complexes were mainly assessed through studies using global and regional climate models driven by the Intergovernmental Panel on Climate Change (IPCC) SRES scenarios.…”

Section: Introductionmentioning

confidence: 99%

Socio-economic Impacts—Urban Complexes

Deppisch

Juhola

Janßen

et al. 2015

Regional Climate Studies

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This chapter examines observed and potential future climate change impacts on socioeconomic fields concerning urban complexes in the Baltic Sea basin. This is based on the literature review that focused mainly on English publications on climate change impacts, but included some publications in other languages on adaptation. In the Baltic Sea basin, there appears to be an imbalance between cities and towns that have been well studied with reference to climate change impacts, and cities or even regions for which there is hardly any published literature. For those publications that do exist, most concern the impact of a specific climate change effect (temperature rise, extreme events, sea-level rise) on a particular socioeconomic field of an urban complex. The results of the literature review indicate that urban complexes in the Baltic Sea catchment are likely to experience climate change impacts within wide-ranging contexts: from urban services and technical infrastructure, to buildings and settlement structures and to the urban economy or population. Impacts will differ depending on the location of the urban complex: northern versus southern and coastal versus inland. IntroductionThis chapter examines observed and potential future climate change impacts on socio-economic fields concerning urban complexes. Urban complexes are human-dominated settlements with relatively higher population density than rural settlements. The term comprises cities and towns. Urban complexes are further characterised by high concentrations of buildings and built-up areas with consequent soil sealing, high concentrations of people and infrastructure as well as specific economic and cultural roles and activities. These factors render urban complexes particularly vulnerable to climate change impacts (Hunt and Watkiss 2011). As every urban complex is characterised by a specific mix of social, ecological and economic interdependencies and its own settlement and building structure, it is difficult to generalise on scientific findings concerning urban complexes. Moreover, in the Baltic Sea basin, there seems to be an imbalance between cities and towns that have been well studied with reference to climate change impacts, and cities or even regions for which there is hardly any published literature. For those publications that do exist, most concern the impact of a specific climate change effect (temperature rise, extreme events, sea-level rise) on a particular socioeconomic field of an urban complex. Systematic case studies are available but are mostly on the impacts of climate on human health (Analitis et al.

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High Temperature and Hospitalizations for Cardiovascular and Respiratory Causes in 12 European Cities

Cited by 498 publications

References 32 publications

Exploring the effects of high temperature on mortality in four cities in the Philippines using various heat wave definitions in different mortality subgroups

Exploring the effects of high temperature on mortality in four cities in the Philippines using various heat wave definitions in different mortality subgroups

Long-term projections and acclimatization scenarios of temperature-related mortality in Europe

Socio-economic Impacts—Urban Complexes

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