Browsing by Author "Bell, Michelle L."
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- Air pollution mixture complexity and its effect on PM2.5-related mortality: A multicountry time-series study in 264 citiesPublication . Masselot, Pierre; Kan, Haidong; Kharol, Shailesh K; Bell, Michelle L.; Sera, Francesco; Lavigne, Eric; Breitner, Susanne; das Neves Pereira da Silva, Susana; Burnett, Richard T.; Gasparrini, Antonio; Brook, Jeffrey R.; MCC Collaborative Research NetworkBackground: Fine particulate matter (PM2.5) occurs within a mixture of other pollutant gases that interact and impact its composition and toxicity. To characterize the local toxicity of PM2.5, it is useful to have an index that accounts for the whole pollutant mix, including gaseous pollutants. We consider a recently proposed pollutant mixture complexity index (PMCI) to evaluate to which extent it relates to PM2.5 toxicity. Methods: The PMCI is constructed as an index spanning seven different pollutants, relative to the PM2.5 levels. We consider a standard two-stage analysis using data from 264 cities in the Northern Hemisphere. The first stage estimates the city-specific relative risks between daily PM2.5 and all-cause mortality, which are then pooled into a second-stage meta-regression model with which we estimate the effect modification from the PMCI. Results: We estimate a relative excess risk of 1.0042 (95% confidence interval: 1.0023, 1.0061) for an interquartile range increase (from 1.09 to 1.95) of the PMCI. The PMCI predicts a substantial part of within-country relative risk heterogeneity with much less between-country heterogeneity explained. The Akaike information criterion and Bayesian information criterion of the main model are lower than those of alternative meta-regression models considering the oxidative capacity of PM2.5 or its composition. Conclusions: The PMCI represents an efficient and simple predictor of local PM2.5-related mortality, providing evidence that PM2.5 toxicity depends on the surrounding gaseous pollutant mix. With the advent of remote sensing for pollutants, the PMCI can provide a useful index to track air quality.
- Ambient particulate air pollution and daily mortality in 652 citiesPublication . Liu, Cong; Chen, Renjie; Sera, Francesco; Vicedo-Cabrera, Ana M.; Guo, Yuming; Tong, Shilu; Coelho, Micheline S.Z.S.; Saldiva, Paulo H.N.; Lavigne, Eric; Matus, Patricia; Valdes Ortega, Nicolas; Osorio Garcia, Samuel; Pascal, Mathilde; Stafoggia, Massimo; Scortichini, Matteo; Hashizume, Masahiro; Honda, Yasushi; Hurtado-Díaz, Magali; Cruz, Julio; Nunes, Baltazar; Teixeira, João P.; Kim, Ho; Tobias, Aurelio; Íñiguez, Carmen; Forsberg, Bertil; Åström, Christofer; Ragettli, Martina S.; Guo, Yue-Leon; Chen, Bing-Yu; Bell, Michelle L.; Wright, Caradee Y.; Scovronick, Noah; Garland, Rebecca M.; Milojevic, Ai; Kyselý, Jan; Urban, Aleš; Orru, Hans; Indermitte, Ene; Jaakkola, Jouni J.K.; Ryti, Niilo R.I.; Katsouyanni, Klea; Analitis, Antonis; Zanobetti, Antonella; Schwartz, Joel; Chen, Jianmin; Wu, Tangchun; Cohen, Aaron; Gasparrini, Antonio; Kan, HaidongThe systematic evaluation of the results of time-series studies of air pollution is challenged by differences in model specification and publication bias. We evaluated the associations of inhalable particulate matter (PM) with an aerodynamic diameter of 10 μm or less (PM10) and fine PM with an aerodynamic diameter of 2.5 μm or less (PM2.5) with daily all-cause, cardiovascular, and respiratory mortality across multiple countries or regions. Daily data on mortality and air pollution were collected from 652 cities in 24 countries or regions. We used overdispersed generalized additive models with random-effects meta-analysis to investigate the associations. Two-pollutant models were fitted to test the robustness of the associations. Concentration-response curves from each city were pooled to allow global estimates to be derived. On average, an increase of 10 μg per cubic meter in the 2-day moving average of PM10 concentration, which represents the average over the current and previous day, was associated with increases of 0.44% (95% confidence interval [CI], 0.39 to 0.50) in daily all-cause mortality, 0.36% (95% CI, 0.30 to 0.43) in daily cardiovascular mortality, and 0.47% (95% CI, 0.35 to 0.58) in daily respiratory mortality. The corresponding increases in daily mortality for the same change in PM2.5 concentration were 0.68% (95% CI, 0.59 to 0.77), 0.55% (95% CI, 0.45 to 0.66), and 0.74% (95% CI, 0.53 to 0.95). These associations remained significant after adjustment for gaseous pollutants. Associations were stronger in locations with lower annual mean PM concentrations and higher annual mean temperatures. The pooled concentration-response curves showed a consistent increase in daily mortality with increasing PM concentration, with steeper slopes at lower PM concentrations. Our data show independent associations between short-term exposure to PM10 and PM2.5 and daily all-cause, cardiovascular, and respiratory mortality in more than 600 cities across the globe. These data reinforce the evidence of a link between mortality and PM concentration established in regional and local studies. (Funded by the National Natural Science Foundation of China and others).
- Associations Between Extreme Temperatures and Cardiovascular Cause-Specific Mortality: Results From 27 CountriesPublication . Alahmad, Barrak; Khraishah, Haitham; Royé, Dominic; Vicedo-Cabrera, Ana Maria; Guo, Yuming; Papatheodorou, Stefania I.; Achilleos, Souzana; Acquaotta, Fiorella; Armstrong, Ben; Bell, Michelle L.; Pan, Shih-Chun; Coelho, Micheline de Sousa Zanotti Stagliorio; Colistro, Valentina; Dang, Tran Ngoc; Dung, Do-Van; De' Donato, Francesca K.; Entezari, Alireza; Guo, Yue-Liang Leon; Hashizume, Masahiro; Honda, Yasushi; Indermitte, Ene; Íñiguez, Carmen; Jaakkola, Jouni J.K.; Kim, Ho; Lavigne, Eric; Lee, Whanhee; Li, Shanshan; Madureira, Joana; Mayvaneh, Fatemeh; Orru, Hans; Overcenco, Ala Vladimir; Ragettli, Martina S.; Ryti, Niilo R.I.; Saldiva, Paulo Hilario Nascimento; Scovronick, Noah; Seposo, Xerxes; Sera, Francesco; Silva, Susana; Stafoggia, Massimo; Tobias, Aurelio; Garshick, Eric; Bernstein, Aaron S.; Zanobetti, Antonella; Schwartz, Joel D.; Gasparrini, Antonio; Koutrakis, PetrosBackground: Cardiovascular disease is the leading cause of death worldwide. Existing studies on the association between temperatures and cardiovascular deaths have been limited in geographic zones and have generally considered associations with total cardiovascular deaths rather than cause-specific cardiovascular deaths. Methods: We used unified data collection protocols within the Multi-Country Multi-City Collaborative Network to assemble a database of daily counts of specific cardiovascular causes of death from 567 cities in 27 countries across 5 continents in overlapping periods ranging from 1979 to 2019. City-specific daily ambient temperatures were obtained from weather stations and climate reanalysis models. To investigate cardiovascular mortality associations with extreme hot and cold temperatures, we fit case-crossover models in each city and then used a mixed-effects meta-analytic framework to pool individual city estimates. Extreme temperature percentiles were compared with the minimum mortality temperature in each location. Excess deaths were calculated for a range of extreme temperature days. Results: The analyses included deaths from any cardiovascular cause (32 154 935), ischemic heart disease (11 745 880), stroke (9 351 312), heart failure (3 673 723), and arrhythmia (670 859). At extreme temperature percentiles, heat (99th percentile) and cold (1st percentile) were associated with higher risk of dying from any cardiovascular cause, ischemic heart disease, stroke, and heart failure as compared to the minimum mortality temperature, which is the temperature associated with least mortality. Across a range of extreme temperatures, hot days (above 97.5th percentile) and cold days (below 2.5th percentile) accounted for 2.2 (95% empirical CI [eCI], 2.1–2.3) and 9.1 (95% eCI, 8.9–9.2) excess deaths for every 1000 cardiovascular deaths, respectively. Heart failure was associated with the highest excess deaths proportion from extreme hot and cold days with 2.6 (95% eCI, 2.4–2.8) and 12.8 (95% eCI, 12.2–13.1) for every 1000 heart failure deaths, respectively. Conclusions: Across a large, multinational sample, exposure to extreme hot and cold temperatures was associated with a greater risk of mortality from multiple common cardiovascular conditions. The intersections between extreme temperatures and cardiovascular health need to be thoroughly characterized in the present day—and especially under a changing climate.
- Differential Mortality Risks Associated With PM2.5 Components: A Multi-Country, Multi-City StudyPublication . Masselot, Pierre; Sera, Francesco; Schneider, Rochelle; Kan, Haidong; Lavigne, Éric; Stafoggia, Massimo; Tobias, Aurelio; Chen, Hong; Burnett, Richard T.; Schwartz, Joel; Zanobetti, Antonella; Bell, Michelle L.; Chen, Bing-Yu; Guo, Yue-Liang Leon; Ragettli, Martina S.; Vicedo-Cabrera, Ana Maria; Åström, Christofer; Forsberg, Bertil; Íñiguez, Carmen; Garland, Rebecca M.; Scovronick, Noah; Madureira, Joana; Nunes, Baltazar; De la Cruz Valencia, César; Hurtado Diaz, Magali; Honda, Yasushi; Hashizume, Masahiro; Ng, Chris Fook Cheng; Samoli, Evangelia; Katsouyanni, Klea; Schneider, Alexandra; Breitner, Susanne; Ryti, Niilo R.I.; Jaakkola, Jouni J.K.; Maasikmets, Marek; Orru, Hans; Guo, Yuming; Valdés Ortega, Nicolás; Matus Correa, Patricia; Tong, Shilu; Gasparrini, AntonioBackground: The association between fine particulate matter (PM2.5) and mortality widely differs between as well as within countries. Differences in PM2.5 composition can play a role in modifying the effect estimates, but there is little evidence about which components have higher impacts on mortality. Methods: We applied a 2-stage analysis on data collected from 210 locations in 16 countries. In the first stage, we estimated location-specific relative risks (RR) for mortality associated with daily total PM2.5 through time series regression analysis. We then pooled these estimates in a meta-regression model that included city-specific logratio-transformed proportions of seven PM2.5 components as well as meta-predictors derived from city-specific socio-economic and environmental indicators. Results: We found associations between RR and several PM2.5 components. Increasing the ammonium (NH4+) proportion from 1% to 22%, while keeping a relative average proportion of other components, increased the RR from 1.0063 (95% confidence interval [95% CI] = 1.0030, 1.0097) to 1.0102 (95% CI = 1.0070, 1.0135). Conversely, an increase in nitrate (NO3-) from 1% to 71% resulted in a reduced RR, from 1.0100 (95% CI = 1.0067, 1.0133) to 1.0037 (95% CI = 0.9998, 1.0077). Differences in composition explained a substantial part of the heterogeneity in PM2.5 risk. Conclusions: These findings contribute to the identification of more hazardous emission sources. Further work is needed to understand the health impacts of PM2.5 components and sources given the overlapping sources and correlations among many components.
- Effect modification of greenness on the association between heat and mortality: A multi-city multi-country studyPublication . Choi, Hayon Michelle; Lee, Whanhee; Roye, Dominic; Heo, Seulkee; Urban, Aleš; Entezari, Alireza; Vicedo-Cabrera, Ana Maria; Zanobetti, Antonella; Gasparrini, Antonio; Analitis, Antonis; Tobias, Aurelio; Armstrong, Ben; Forsberg, Bertil; Íñiguez, Carmen; Åström, Christofer; Indermitte, Ene; Lavigne, Eric; Mayvaneh, Fatemeh; Acquaotta, Fiorella; Sera, Francesco; Orru, Hans; Kim, Ho; Kyselý, Jan; Madueira, Joana; Schwartz, Joel; Jaakkola, Jouni J.K.; Katsouyanni, Klea; Diaz, Magali Hurtado; Ragettli, Martina S.; Pascal, Mathilde; Ryti, Niilo; Scovronick, Noah; Osorio, Samuel; Tong, Shilu; Seposo, Xerxes; Guo, Yue Leon; Guo, Yuming; Bell, Michelle L.Background: Identifying how greenspace impacts the temperature-mortality relationship in urban environments is crucial, especially given climate change and rapid urbanization. However, the effect modification of greenspace on heat-related mortality has been typically focused on a localized area or single country. This study examined the heat-mortality relationship among different greenspace levels in a global setting. Methods: We collected daily ambient temperature and mortality data for 452 locations in 24 countries and used Enhanced Vegetation Index (EVI) as the greenspace measurement. We used distributed lag non-linear model to estimate the heat-mortality relationship in each city and the estimates were pooled adjusting for city-specific average temperature, city-specific temperature range, city-specific population density, and gross domestic product (GDP). The effect modification of greenspace was evaluated by comparing the heat-related mortality risk for different greenspace groups (low, medium, and high), which were divided into terciles among 452 locations. Findings: Cities with high greenspace value had the lowest heat-mortality relative risk of 1·19 (95% CI: 1·13, 1·25), while the heat-related relative risk was 1·46 (95% CI: 1·31, 1·62) for cities with low greenspace when comparing the 99th temperature and the minimum mortality temperature. A 20% increase of greenspace is associated with a 9·02% (95% CI: 8·88, 9·16) decrease in the heat-related attributable fraction, and if this association is causal (which is not within the scope of this study to assess), such a reduction could save approximately 933 excess deaths per year in 24 countries. Interpretation: Our findings can inform communities on the potential health benefits of greenspaces in the urban environment and mitigation measures regarding the impacts of climate change.
- Extreme Temperatures and Stroke Mortality: Evidence From a Multi-Country AnalysisPublication . Alahmad, Barrak ; Khraishah, Haitham ; Kamineni, Meghana ; Royé, Dominic ; Papatheodorou, Stefania I. ; Vicedo-Cabrera, Ana Maria ; Guo, Yuming ; Lavigne, Eric ; Armstrong, Ben ; Sera, Francesco ; Bernstein, Aaron S. ; Zanobetti, Antonella ; Garshick, Eric ; Schwartz, Joel ; Bell, Michelle L. ; Al-Mulla, Fahd; Koutrakis, Petros ; Gasparrini, Antonio ; Souzana, Achilleos ; Acquaotta, Fiorella ; Pan, Shih-Chun ; Coelho, Micheline Sousa Zanotti Stagliorio ; Colistro, Valentina ; Dang, Tran Ngoc ; Van Dung, Do ; De’ Donato, Francesca K. ; Entezari, Alireza ; Leon Guo, Yue-Liang ; Hashizume, Masahiro ; Honda, Yasushi ; Indermitte, Ene ; Íñiguez, Carmen; Jaakkola, Jouni J.K. ; Kim, Ho ; Lee, Whanhee; Li, Shanshan ; Madureira, Joana ; Mayvaneh, Fatemeh ; Orru, Hans ; Overcenco, Ala ; Ragettli, Martina S. ; Ryti, Niilo R.I. ; Saldiva, Paulo Hilario Nascimento; Scovronick, Noah ; Seposo, Xerxes ; das Neves Pereira da Silva, Susana; Stafoggia, Massimo ; Tobias, AurelioBackground: Extreme temperatures contribute significantly to global mortality. While previous studies on temperature and stroke-specific outcomes presented conflicting results, these studies were predominantly limited to single-city or single-country analyses. Their findings are difficult to synthesize due to variations in methodologies and exposure definitions. Methods: Within the Multi-Country Multi-City Network, we built a new mortality database for ischemic and hemorrhagic stroke. Applying a unified analysis protocol, we conducted a multinational case-crossover study on the relationship between extreme temperatures and stroke. In the first stage, we fitted a conditional quasi-Poisson regression for daily mortality counts with distributed lag nonlinear models for temperature exposure separately for each city. In the second stage, the cumulative risk from each city was pooled using mixed-effect meta-analyses, accounting for clustering of cities with similar features. We compared temperature-stroke associations across country-level gross domestic product per capita. We computed excess deaths in each city that are attributable to the 2.5% hottest and coldest of days based on each city's temperature distribution. Results: We collected data for a total of 3 443 969 ischemic strokes and 2 454 267 hemorrhagic stroke deaths from 522 cities in 25 countries. For every 1000 ischemic stroke deaths, we found that extreme cold and hot days contributed 9.1 (95% empirical CI, 8.6-9.4) and 2.2 (95% empirical CI, 1.9-2.4) excess deaths, respectively. For every 1000 hemorrhagic stroke deaths, extreme cold and hot days contributed 11.2 (95% empirical CI, 10.9-11.4) and 0.7 (95% empirical CI, 0.5-0.8) excess deaths, respectively. We found that countries with low gross domestic product per capita were at higher risk of heat-related hemorrhagic stroke mortality than countries with high gross domestic product per capita (P=0.02). Conclusions: Both extreme cold and hot temperatures are associated with an increased risk of dying from ischemic and hemorrhagic strokes. As climate change continues to exacerbate these extreme temperatures, interventional strategies are needed to mitigate impacts on stroke mortality, particularly in low-income countries.
- Fluctuating temperature modifies heat-mortality association around the globePublication . Wu, Yao; Wen, Bo; Li, Shanshan; Gasparrini, Antonio; Tong, Shilu; Overcenco, Ala; Urban, Aleš; Schneider, Alexandra; Entezari, Alireza; Vicedo-Cabrera, Ana Maria; Zanobetti, Antonella; Analitis, Antonis; Zeka, Ariana; Tobias, Aurelio; Alahmad, Barrak; Armstrong, Ben; Forsberg, Bertil; Íñiguez, Carmen; Ameling, Caroline; De la Cruz Valencia, César; Åström, Christofer; Houthuijs, Danny; Van Dung, Do; Royé, Dominic; Indermitte, Ene; Lavigne, Eric; Mayvaneh, Fatemeh; Acquaotta, Fiorella; de’Donato, Francesca; Sera, Francesco; Carrasco-Escobar, Gabriel; Kan, Haidong; Orru, Hans; Kim, Ho; Holobaca, Iulian-Horia; Kyselý, Jan; Madureira, Joana; Schwartz, Joel; Katsouyanni, Klea; Hurtado-Diaz, Magali; Ragettli, Martina S.; Hashizume, Masahiro; Pascal, Mathilde; de Sousa Zanotti Stagliorio Coélho, Micheline; Scovronick, Noah; Michelozzi, Paola; Goodman, Patrick; Nascimento Saldiva, Paulo Hilario; Abrutzky, Rosana; Osorio, Samuel; Dang, Tran Ngoc; Colistro, Valentina; Huber, Veronika; Lee, Whanhee; Seposo, Xerxes; Honda, Yasushi; Bell, Michelle L.; Guo, YumingStudies have investigated the effects of heat and temperature variability (TV) on mortality. However, few assessed whether TV modifies the heat-mortality association. Data on daily temperature and mortality in the warm season were collected from 717 locations across 36 countries. TV was calculated as the standard deviation of the average of the same and previous days' minimum and maximum temperatures. We used location-specific quasi-Poisson regression models with an interaction term between the cross-basis term for mean temperature and quartiles of TV to obtain heat-mortality associations under each quartile of TV, and then pooled estimates at the country, regional, and global levels. Results show the increased risk in heat-related mortality with increments in TV, accounting for 0.70% (95% confidence interval [CI]: -0.33 to 1.69), 1.34% (95% CI: -0.14 to 2.73), 1.99% (95% CI: 0.29-3.57), and 2.73% (95% CI: 0.76-4.50) of total deaths for Q1-Q4 (first quartile-fourth quartile) of TV. The modification effects of TV varied geographically. Central Europe had the highest attributable fractions (AFs), corresponding to 7.68% (95% CI: 5.25-9.89) of total deaths for Q4 of TV, while the lowest AFs were observed in North America, with the values for Q4 of 1.74% (95% CI: -0.09 to 3.39). TV had a significant modification effect on the heat-mortality association, causing a higher heat-related mortality burden with increments of TV. Implementing targeted strategies against heat exposure and fluctuant temperatures simultaneously would benefit public health.
- Global, regional, and national burden of heatwave-related mortality from 1990 to 2019: A three-stage modelling studyPublication . Zhao, Qi; Li, Shanshan; Ye, Tingting; Wu, Yao; Gasparrini, Antonio; Tong, Shilu; Urban, Aleš; Vicedo-Cabrera, Ana Maria; Tobias, Aurelio; Armstrong, Ben; Royé, Dominic; Lavigne, Eric; de’Donato, Francesca; Sera, Francesco; Kan, Haidong; Schwartz, Joel; Pascal, Mathilde; Ryti, Niilo; Goodman, Patrick; Paulo Hilario Nascimento Saldiva; Bell, Michelle L.; Guo, Yuming; on behalf of the MCC Collaborative Research NetworkBackground: The regional disparity of heatwave-related mortality over a long period has not been sufficiently assessed across the globe, impeding the localisation of adaptation planning and risk management towards climate change. We quantified the global mortality burden associated with heatwaves at a spatial resolution of 0.5°×0.5° and the temporal change from 1990 to 2019. Methods and findings: We collected data on daily deaths and temperature from 750 locations of 43 countries or regions, and 5 meta-predictors in 0.5°×0.5° resolution across the world. Heatwaves were defined as location-specific daily mean temperature ≥95th percentiles of year-round temperature range with duration ≥2 days. We first estimated the location-specific heatwave-mortality association. Secondly, a multivariate meta-regression was fitted between location-specific associations and 5 meta-predictors, which was in the third stage used with grid cell-specific meta-predictors to predict grid cell-specific association. Heatwave-related excess deaths were calculated for each grid and aggregated. During 1990 to 2019, 0.94% (95% CI: 0.68-1.19) of deaths [i.e., 153,078 cases (95% eCI: 109,950-194,227)] per warm season were estimated to be from heatwaves, accounting for 236 (95% eCI: 170-300) deaths per 10 million residents. The ratio between heatwave-related excess deaths and all premature deaths per warm season remained relatively unchanged over the 30 years, while the number of heatwave-related excess deaths per 10 million residents per warm season declined by 7.2% per decade in comparison to the 30-year average. Locations with the highest heatwave-related death ratio and rate were in Southern and Eastern Europe or areas had polar and alpine climates, and/or their residents had high incomes. The temporal change of heatwave-related mortality burden showed geographic disparities, such that locations with tropical climate or low incomes were observed with the greatest decline. The main limitation of this study was the lack of data from certain regions, e.g., Arabian Peninsula and South Asia. Conclusions: Heatwaves were associated with substantial mortality burden that varied spatiotemporally over the globe in the past 30 years. The findings indicate the potential benefit of governmental actions to enhance health sector adaptation and resilience, accounting for inequalities across communities.
- Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: a three-stage modelling studyPublication . Zhao, Qi; Guo, Yuming; Ye, Tingting; Gasparrini, Antonio; Tong, Shilu; Overcenco, Ala; Urban, Aleš; Schneider, Alexandra; Entezari, Alireza; Vicedo-Cabrera, Ana Maria; Zanobetti, Antonella; Analitis, Antonis; Zeka, Ariana; Tobias, Aurelio; Nunes, Baltazar; Alahmad, Barrak; Armstrong, Ben; Forsberg, Bertil; Pan, Shih-Chun; Íñiguez, Carmen; Ameling, Caroline; De la Cruz Valencia, César; Åström, Christofer; Houthuijs, Danny; Dung, Do Van; Royé, Dominic; Indermitte, Ene; Lavigne, Eric; Mayvaneh, Fatemeh; Acquaotta, Fiorella; de'Donato, Francesca; Di Ruscio, Francesco; Sera, Francesco; Carrasco-Escobar, Gabriel; Kan, Haidong; Orru, Hans; Kim, Ho; Holobaca, Iulian-Horia; Kyselý, Jan; Madureira, Joana; Schwartz, Joel; Jaakkola, Jouni J.K.; Katsouyanni, Klea; Hurtado Diaz, Magali; Ragettli, Martina S.; Hashizume, Masahiro; Pascal, Mathilde; de Sousa Zanotti Stagliorio Coélho, Micheline; Valdés Ortega, Nicolás; Ryti, Niilo; Scovronick, Noah; Michelozzi, Paola; Matus Correa, Patricia; Goodman, Patrick; Nascimento Saldiva, Paulo Hilario; Abrutzky, Rosana; Osorio, Samuel; Rao, Shilpa; Fratianni, Simona; Dang, Tran Ngoc; Colistro, Valentina; Huber, Veronika; Lee, Whanhee; Seposo, Xerxes; Honda, Yasushi; Guo, Yue Leon; Bell, Michelle L.; Li, ShanshanBackground: Exposure to cold or hot temperatures is associated with premature deaths. We aimed to evaluate the global, regional, and national mortality burden associated with non-optimal ambient temperatures. Methods: In this modelling study, we collected time-series data on mortality and ambient temperatures from 750 locations in 43 countries and five meta-predictors at a grid size of 0·5° × 0·5° across the globe. A three-stage analysis strategy was used. First, the temperature-mortality association was fitted for each location by use of a time-series regression. Second, a multivariate meta-regression model was built between location-specific estimates and meta-predictors. Finally, the grid-specific temperature-mortality association between 2000 and 2019 was predicted by use of the fitted meta-regression and the grid-specific meta-predictors. Excess deaths due to non-optimal temperatures, the ratio between annual excess deaths and all deaths of a year (the excess death ratio), and the death rate per 100 000 residents were then calculated for each grid across the world. Grids were divided according to regional groupings of the UN Statistics Division. Findings: Globally, 5 083 173 deaths (95% empirical CI [eCI] 4 087 967-5 965 520) were associated with non-optimal temperatures per year, accounting for 9·43% (95% eCI 7·58-11·07) of all deaths (8·52% [6·19-10·47] were cold-related and 0·91% [0·56-1·36] were heat-related). There were 74 temperature-related excess deaths per 100 000 residents (95% eCI 60-87). The mortality burden varied geographically. Of all excess deaths, 2 617 322 (51·49%) occurred in Asia. Eastern Europe had the highest heat-related excess death rate and Sub-Saharan Africa had the highest cold-related excess death rate. From 2000-03 to 2016-19, the global cold-related excess death ratio changed by -0·51 percentage points (95% eCI -0·61 to -0·42) and the global heat-related excess death ratio increased by 0·21 percentage points (0·13-0·31), leading to a net reduction in the overall ratio. The largest decline in overall excess death ratio occurred in South-eastern Asia, whereas excess death ratio fluctuated in Southern Asia and Europe. Interpretation: Non-optimal temperatures are associated with a substantial mortality burden, which varies spatiotemporally. Our findings will benefit international, national, and local communities in developing preparedness and prevention strategies to reduce weather-related impacts immediately and under climate change scenarios.
- Heat-related cardiorespiratory mortality: Effect modification by air pollution across 482 cities from 24 countriesPublication . Rai, Masna; Stafoggia, Massimo; de'Donato, Francesca; Scortichini, Matteo; Zafeiratou, Sofia; Vazquez Fernandez, Liliana; Zhang, Siqi; Katsouyanni, Klea; Samoli, Evangelia; Rao, Shilpa; Lavigne, Eric; Guo, Yuming; Kan, Haidong; Osorio, Samuel; Kyselý, Jan; Urban, Aleš; Orru, Hans; Maasikmets, Marek; Jaakkola, Jouni J.K.; Ryti, Niilo; Pascal, Mathilde; Hashizume, Masahiro; Fook Sheng Ng, Chris; Alahmad, Barrak; Hurtado Diaz, Magali; De la Cruz Valencia, César; Nunes, Baltazar; Madureira, Joana; Scovronick, Noah; Garland, Rebecca M.; Kim, Ho; Lee, Whanhee; Tobias, Aurelio; Íñiguez, Carmen; Forsberg, Bertil; Åström, Christofer; Maria Vicedo-Cabrera, Ana; Ragettli, Martina S.; Leon Guo, Yue-Liang; Pan, Shih-Chun; Li, Shanshan; Gasparrini, Antonio; Sera, Francesco; Masselot, Pierre; Schwartz, Joel; Zanobetti, Antonella; Bell, Michelle L.; Schneider, Alexandra; Breitner, SusanneHighlights: - Heat effect modification by air pollution on cardiovascular and respiratory mortality was investigated across 482 cities.- Heat effect was seen to be significantly modified by air pollutants PM10, PM2.5, O3, and NO2. -This study is the most extensive research to date investigating the heat effect modification on cardiovascular and respiratory mortality. - This is the first-ever study to deeply investigate effect modifications by air pollutants such as PM2.5 and NO2.
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