113 results on '"Burnett R. T."'
Search Results
2. Including Structural Measurement Errors in the Nonlinear Regression Analysis of Clustered Data
- Author
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Zidek, J. V., Le, N. D., Wong, H., and Burnett, R. T.
- Published
- 1998
3. Differential mortality risks associated with PM2.5 components:a multi-country, multi-city study
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Masselot, P. (Pierre), Sera, F. (Francesco), Schneider, R. (Rochelle), Kan, H. (Haidong), Lavigne, É. (Éric), Stafoggia, M. (Massimo), Tobias, A. (Aurelio), Chen, H. (Hong), Burnett, R. T. (Richard T.), Schwartz, J. (Joel), Zanobetti, A. (Antonella), Bell, M. L. (Michelle L.), Chen, B.-Y. (Bing-Yu), Guo, Y. L. (Yue-Liang Leon), Ragettli, M. S. (Martina S.), Vicedo-Cabrera, A. M. (Ana Maria), Åström, C. (Christofer), Forsberg, B. (Bertil), Íñiguez, C. (Carmen), Garland, R. M. (Rebecca M.), Scovronick, N. (Noah), Madureira, J. (Joana), Nunes, B. (Baltazar), De la Cruz Valencia, C. (César), Hurtado Diaz, M. (Magali), Honda, Y. (Yasushi), Hashizume, M. (Masahiro), Fook Cheng Ng, C. (Chris), Samoli, E. (Evangelia), Katsouyanni, K. (Klea), Schneider, A. (Alexandra), Breitner, S. (Susanne), Ryti, N. R. (Niilo R.I.), Jaakkola, J. J. (Jouni J.K.), Maasikmets, M. (Marek), Orru, H. (Hans), Guo, Y. (Yuming), Valdés Ortega, N. (Nicolás), Matus Correa, P. (Patricia), Tong, S. (Shilu), Gasparrini, A. (Antonio), Masselot, P. (Pierre), Sera, F. (Francesco), Schneider, R. (Rochelle), Kan, H. (Haidong), Lavigne, É. (Éric), Stafoggia, M. (Massimo), Tobias, A. (Aurelio), Chen, H. (Hong), Burnett, R. T. (Richard T.), Schwartz, J. (Joel), Zanobetti, A. (Antonella), Bell, M. L. (Michelle L.), Chen, B.-Y. (Bing-Yu), Guo, Y. L. (Yue-Liang Leon), Ragettli, M. S. (Martina S.), Vicedo-Cabrera, A. M. (Ana Maria), Åström, C. (Christofer), Forsberg, B. (Bertil), Íñiguez, C. (Carmen), Garland, R. M. (Rebecca M.), Scovronick, N. (Noah), Madureira, J. (Joana), Nunes, B. (Baltazar), De la Cruz Valencia, C. (César), Hurtado Diaz, M. (Magali), Honda, Y. (Yasushi), Hashizume, M. (Masahiro), Fook Cheng Ng, C. (Chris), Samoli, E. (Evangelia), Katsouyanni, K. (Klea), Schneider, A. (Alexandra), Breitner, S. (Susanne), Ryti, N. R. (Niilo R.I.), Jaakkola, J. J. (Jouni J.K.), Maasikmets, M. (Marek), Orru, H. (Hans), Guo, Y. (Yuming), Valdés Ortega, N. (Nicolás), Matus Correa, P. (Patricia), Tong, S. (Shilu), and Gasparrini, A. (Antonio)
- Abstract
Background: 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.
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- 2022
4. A panel study in congestive heart failure to estimate the short-term effects from personal factors and environmental conditions on oxygen saturation and pulse rate
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Goldberg, M S, Giannetti, N, Burnett, R T, Mayo, N E, Valois, M-F, and Brophy, J M
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- 2008
5. Air Pollution and Asthma in Children [with Reply]
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Finkelstein, M., Lin, M., Chen, Y., Burnett, R. T., Villeneuve, P. J., and Krewski, D.
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- 2004
6. Do Socioeconomic Characteristics Modify the Short Term Association between Air Pollution and Mortality? Evidence from a Zonal Time Series in Hamilton, Canada
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Jerrett, M., Burnett, R. T., Brook, J., Kanaroglou, P., Giovis, C., Finkelstein, N., and Hutchison, B.
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- 2004
7. Effect of Short-Term Exposure to Gaseous Pollution on Asthma Hospitalisation in Children: A Bi-Directional Case-Crossover Analysis
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Lin, M., Chen, Y., Burnett, R. T., Villeneuve, P. J., and Krewski, D.
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- 2003
8. Statistical Foundations of Pharmacokinetic Modeling
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Krewski, D., Burnett, R. T., Ross, W., Rescigno, Aldo, editor, and Thakur, Ajit K., editor
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- 1991
- Full Text
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9. Introduction
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Krewski, D., Burnett, R. T., and Chan, L. K.
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- 1994
10. Supplement to: Long-term ozone exposure and mortality.
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Jerrett, M, Burnett, R T, and Pope, C A, III
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- 2009
11. Geographies of uncertainty in the health benefits of air quality improvements
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Jerrett, M., Newbold, K. B., Burnett, R. T., Thurston, G., Lall, R., Pope, III, C. A., Ma, R., De Luca, P., Thun, M., Calle, J., and Krewski, D.
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- 2007
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12. Traffic-related air pollution, road noise, urban green space, and incidence of cardiovascular events: findings from the Ontario Population Health and Environment Cohort (ONPHEC)
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Bai, L., primary, Hystad, P., additional, Weichenthal, S., additional, Oiamo, T. H., additional, Burnett, R. T., additional, Jerrett, M., additional, Kwong, J. C., additional, Lavigne, E., additional, Copes, R., additional, Kopp, A., additional, and Chen, H., additional
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- 2020
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13. Residential greenness and cardiovascular disease incidence, readmission, and mortality
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Chen, H., primary, Burnett, R. T., additional, Bai, L., additional, Kwong, J. C., additional, Crouse, D., additional, Lavigne, E., additional, Goldberg, M. S., additional, Copes, R., additional, Benmarhnia, T., additional, Ilango, S., additional, van Donkelaar, A., additional, Martin, R., additional, and Hystad, P., additional
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- 2020
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14. Multivariate imputation in cross-sectional analysis of health effects associated with air pollution
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Duddek, C., Le, N. D., Zidek, J. V., and Burnett, R. T.
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- 1995
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15. Is outdoor air pollution associated with physician visits for allergic rhinitis among the elderly in Toronto, Canada?
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Villeneuve, P. J., Doiron, M.-S., Stieb, D., Dales, R., Burnett, R. T., and Dugandzic, R.
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- 2006
16. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
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Abbafati, C, Abbas, K, Abbasi-Kangevari, M, Abd-Allah, F, Abdelalim, A, Abdollahi, M, Abdollahpour, I, Abegaz, K, Abolhassani, H, Aboyans, V, Abreu, L, Abrigo, M, Abualhasan, A, Abu-Raddad, L, Abushouk, A, Adabi, M, Adekanmbi, V, Adeoye, A, Adetokunboh, O, Adham, D, Advani, S, Afshin, A, Agarwal, G, Aghamir, S, Agrawal, A, Ahmad, T, Ahmadi, K, Ahmadi, M, Ahmadieh, H, Ahmed, M, Akalu, T, Akinyemi, R, Akinyemiju, T, Akombi, B, Akunna, C, Alahdab, F, Al-Aly, Z, Alam, K, Alam, S, Alam, T, Alanezi, F, Alanzi, T, Alemu, B, Alhabib, K, Ali, M, Ali, S, Alicandro, G, Alinia, C, Alipour, V, Alizade, H, Aljunid, S, Alla, F, Allebeck, P, Almasi-Hashiani, A, Al-Mekhlafi, H, Alonso, J, Altirkawi, K, Amini-Rarani, M, Amiri, F, Amugsi, D, Ancuceanu, R, Anderlini, D, Anderson, J, Andrei, C, Andrei, T, Angus, C, Anjomshoa, M, Ansari, F, Ansari-Moghaddam, A, Antonazzo, I, Antonio, C, Antony, C, Antriyandarti, E, Anvari, D, Anwer, R, Appiah, S, Arabloo, J, Arab-Zozani, M, Aravkin, A, Ariani, F, Armoon, B, Arnlov, J, Arzani, A, Asadi-Aliabadi, M, Asadi-Pooya, A, Ashbaugh, C, Assmus, M, Atafar, Z, Atnafu, D, Atout, M, Ausloos, F, Ausloos, M, Ayala Quintanilla, B, Ayano, G, Ayanore, M, Azari, S, Azarian, G, Azene, Z, Badawi, A, Badiye, A, Bahrami, M, Bakhshaei, M, Bakhtiari, A, Bakkannavar, S, Baldasseroni, A, Ball, K, Ballew, S, Balzi, D, Banach, M, Banerjee, S, Bante, A, Baraki, A, Barker-Collo, S, Barnighausen, T, Barrero, L, Barthelemy, C, Barua, L, Basu, S, Baune, B, Bayati, M, Becker, J, Bedi, N, Beghi, E, Bejot, Y, Bell, M, Bennitt, F, Bensenor, I, Berhe, K, Berman, A, Bhagavathula, A, Bhageerathy, R, Bhala, N, Bhandari, D, Bhattacharyya, K, Bhutta, Z, Bijani, A, Bikbov, B, Bin Sayeed, M, Biondi, A, Birihane, B, Bisignano, C, Biswas, R, Bitew, H, Bohlouli, S, Bohluli, M, Boon-Dooley, A, Borges, G, Borzi, A, Borzouei, S, Bosetti, C, Boufous, S, Braithwaite, D, Brauer, M, Breitborde, N, Breitner, S, Brenner, H, Briant, P, Briko, A, Briko, N, Britton, G, Bryazka, D, Bumgarner, B, Burkart, K, Burnett, R, Burugina Nagaraja, S, Butt, Z, Caetano Dos Santos, F, Cahill, L, Camera, L, Campos-Nonato, I, Cardenas, R, Carreras, G, Carrero, J, Carvalho, F, Castaldelli-Maia, J, Castaneda-Orjuela, C, Castelpietra, G, Castro, F, Causey, K, Cederroth, C, Cercy, K, Cerin, E, Chandan, J, Chang, K, Charlson, F, Chattu, V, Chaturvedi, S, Cherbuin, N, Chimed-Ochir, O, Cho, D, Choi, J, Christensen, H, Chu, D, Chung, M, Chung, S, Cicuttini, F, Ciobanu, L, Cirillo, M, Classen, T, Cohen, A, Compton, K, Cooper, O, Costa, V, Cousin, E, Cowden, R, Cross, D, Cruz, J, Dahlawi, S, Damasceno, A, Damiani, G, Dandona, L, Dandona, R, Dangel, W, Danielsson, A, Dargan, P, Darwesh, A, Daryani, A, Das, J, Das Gupta, R, das Neves, J, Davila-Cervantes, C, Davitoiu, D, De Leo, D, Degenhardt, L, Delang, M, Dellavalle, R, Demeke, F, Demoz, G, Demsie, D, Denova-Gutierrez, E, Dervenis, N, Dhungana, G, Dianatinasab, M, Dias da Silva, D, Diaz, D, Dibaji Forooshani, Z, Djalalinia, S, Do, H, Dokova, K, Dorostkar, F, Doshmangir, L, Driscoll, T, Duncan, B, Duraes, A, Eagan, A, Edvardsson, D, El Nahas, N, El Sayed, I, El Tantawi, M, Elbarazi, I, Elgendy, I, El-Jaafary, S, Elyazar, I, Emmons-Bell, S, Erskine, H, Eskandarieh, S, Esmaeilnejad, S, Esteghamati, A, Estep, K, Etemadi, A, Etisso, A, Fanzo, J, Farahmand, M, Fareed, M, Faridnia, R, Farioli, A, Faro, A, Faruque, M, Farzadfar, F, Fattahi, N, Fazlzadeh, M, Feigin, V, Feldman, R, Fereshtehnejad, S, Fernandes, E, Ferrara, G, Ferrari, A, Ferreira, M, Filip, I, Fischer, F, Fisher, J, Flor, L, Foigt, N, Folayan, M, Fomenkov, A, Force, L, Foroutan, M, Franklin, R, Freitas, M, Fu, W, Fukumoto, T, Furtado, J, Gad, M, Gakidou, E, Gallus, S, Garcia-Basteiro, A, Gardner, W, Geberemariyam, B, Ayalew Gebreslassie, A, Geremew, A, Gershberg Hayoon, A, Gething, P, Ghadimi, M, Ghadiri, K, Ghaffarifar, F, Ghafourifard, M, Ghamari, F, Ghashghaee, A, Ghiasvand, H, Ghith, N, Gholamian, A, Ghosh, R, Gill, P, Ginindza, T, Giussani, G, Gnedovskaya, E, Goharinezhad, S, Gopalani, S, Gorini, G, Goudarzi, H, Goulart, A, Greaves, F, Grivna, M, Grosso, G, Gubari, M, Gugnani, H, Guimaraes, R, Guled, R, Guo, G, Guo, Y, Gupta, R, Gupta, T, Haddock, B, Hafezi-Nejad, N, Hafiz, A, Haj-Mirzaian, A, Hall, B, Halvaei, I, Hamadeh, R, Hamidi, S, Hammer, M, Hankey, G, Haririan, H, Haro, J, Hasaballah, A, Hasan, M, Hasanpoor, E, Hashi, A, Hassanipour, S, Hassankhani, H, Havmoeller, R, Hay, S, Hayat, K, Heidari, G, Heidari-Soureshjani, R, Henrikson, H, Herbert, M, Herteliu, C, Heydarpour, F, Hird, T, Hoek, H, Holla, R, Hoogar, P, Hosgood, H, Hossain, N, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Hsieh, V, Hu, G, Hu, K, Huda, T, Humayun, A, Huynh, C, Hwang, B, Iannucci, V, Ibitoye, S, Ikeda, N, Ikuta, K, Ilesanmi, O, Ilic, I, Ilic, M, Inbaraj, L, Ippolito, H, Iqbal, U, Irvani, S, Irvine, C, Islam, M, Islam, S, Iso, H, Ivers, R, Iwu, C, Iyamu, I, Jaafari, J, Jacobsen, K, Jafari, H, Jafarinia, M, Jahani, M, Jakovljevic, M, Jalilian, F, James, S, Janjani, H, Javaheri, T, Javidnia, J, Jeemon, P, Jenabi, E, Jha, R, Jha, V, Ji, J, Johansson, L, John, O, John-Akinola, Y, Johnson, C, Jonas, J, Joukar, F, Jozwiak, J, Jurisson, M, Kabir, A, Kabir, Z, Kalani, H, Kalani, R, Kalankesh, L, Kalhor, R, Kanchan, T, Kapoor, N, Matin, B, Karch, A, Karim, M, Kassa, G, Katikireddi, S, Kayode, G, Kazemi Karyani, A, Keiyoro, P, Keller, C, Kemmer, L, Kendrick, P, Khalid, N, Khammarnia, M, Khan, E, Khan, M, Khatab, K, Khater, M, Khatib, M, Khayamzadeh, M, Khazaei, S, Kieling, C, Kim, Y, Kimokoti, R, Kisa, A, Kisa, S, Kivimaki, M, Knibbs, L, Knudsen, A, Kocarnik, J, Kochhar, S, Kopec, J, Korshunov, V, Koul, P, Koyanagi, A, Kraemer, M, Krishan, K, Krohn, K, Kromhout, H, Kuate Defo, B, Kumar, G, Kumar, V, Kurmi, O, Kusuma, D, La Vecchia, C, Lacey, B, Lal, D, Lalloo, R, Lallukka, T, Lami, F, Landires, I, Lang, J, Langan, S, Larsson, A, Lasrado, S, Lauriola, P, Lazarus, J, Lee, P, Lee, S, Legrand, K, Leigh, J, Leonardi, M, Lescinsky, H, Leung, J, Levi, M, Li, S, Lim, L, Linn, S, Liu, S, Liu, Y, Lo, J, Lopez, A, Lopez, J, Lopukhov, P, Lorkowski, S, Lotufo, P, Lu, A, Lugo, A, Maddison, E, Mahasha, P, Mahdavi, M, Mahmoudi, M, Majeed, A, Maleki, A, Maleki, S, Malekzadeh, R, Malta, D, Mamun, A, Manda, A, Manguerra, H, Mansour-Ghanaei, F, Mansouri, B, Mansournia, M, Mantilla Herrera, A, Maravilla, J, Marks, A, Martin, R, Martini, S, Martins-Melo, F, Masaka, A, Masoumi, S, Mathur, M, Matsushita, K, Maulik, P, Mcalinden, C, Mcgrath, J, Mckee, M, Mehndiratta, M, Mehri, F, Mehta, K, Memish, Z, Mendoza, W, Menezes, R, Mengesha, E, Mereke, A, Mereta, S, Meretoja, A, Meretoja, T, Mestrovic, T, Miazgowski, B, Miazgowski, T, Michalek, I, Miller, T, Mills, E, Mini, G, Miri, M, Mirica, A, Mirrakhimov, E, Mirzaei, H, Mirzaei, M, Mirzaei, R, Mirzaei-Alavijeh, M, Misganaw, A, Mithra, P, Moazen, B, Mohammad, D, Mohammad, Y, Mohammad Gholi Mezerji, N, Mohammadian-Hafshejani, A, Mohammadifard, N, Mohammadpourhodki, R, Mohammed, A, Mohammed, H, Mohammed, J, Mohammed, S, Mokdad, A, Molokhia, M, Monasta, L, Mooney, M, Moradi, G, Moradi, M, Moradi-Lakeh, M, Moradzadeh, R, Moraga, P, Morawska, L, Morgado-Da-Costa, J, Morrison, S, Mosapour, A, Mosser, J, Mouodi, S, Mousavi, S, Khaneghah, A, Mueller, U, Mukhopadhyay, S, Mullany, E, Musa, K, Muthupandian, S, Nabhan, A, Naderi, M, Nagarajan, A, Nagel, G, Naghavi, M, Naghshtabrizi, B, Naimzada, M, Najafi, F, Nangia, V, Nansseu, J, Naserbakht, M, Nayak, V, Negoi, I, Ngunjiri, J, Nguyen, C, Nguyen, H, Nguyen, M, Nigatu, Y, Nikbakhsh, R, Nixon, M, Nnaji, C, Nomura, S, Norrving, B, Noubiap, J, Nowak, C, Nunez-Samudio, V, Oancea, B, Odell, C, Ogbo, F, Oh, I, Okunga, E, Oladnabi, M, Olagunju, A, Olusanya, B, Olusanya, J, Omer, M, Ong, K, Onwujekwe, O, Orpana, H, Ortiz, A, Osarenotor, O, Osei, F, Ostroff, S, Otoiu, A, Otstavnov, N, Otstavnov, S, Overland, S, Owolabi, M, Mahesh, P, Padubidri, J, Palladino, R, Panda-Jonas, S, Pandey, A, Parry, C, Pasovic, M, Pasupula, D, Patel, S, Pathak, M, Patten, S, Patton, G, Toroudi, H, Peden, A, Pennini, A, Pepito, V, Peprah, E, Pereira, D, Pesudovs, K, Pham, H, Phillips, M, Piccinelli, C, Pilz, T, Piradov, M, Pirsaheb, M, Plass, D, Polinder, S, Polkinghorne, K, Pond, C, Postma, M, Pourjafar, H, Pourmalek, F, Poznanska, A, Prada, S, Prakash, V, Pribadi, D, Pupillo, E, Syed, Z, Rabiee, M, Rabiee, N, Radfar, A, Rafiee, A, Raggi, A, Rahman, M, Rajabpour-Sanati, A, Rajati, F, Rakovac, I, Ram, P, Ramezanzadeh, K, Ranabhat, C, Rao, P, Rao, S, Rashedi, V, Rathi, P, Rawaf, D, Rawaf, S, Rawal, L, Rawassizadeh, R, Rawat, R, Razo, C, Redford, S, Reiner, R, Reitsma, M, Remuzzi, G, Renjith, V, Renzaho, A, Resnikoff, S, Rezaei, N, Rezapour, A, Rhinehart, P, Riahi, S, Ribeiro, D, Rickard, J, Rivera, J, Roberts, N, Rodriguez-Ramirez, S, Roever, L, Ronfani, L, Room, R, Roshandel, G, Roth, G, Rothenbacher, D, Rubagotti, E, Rwegerera, G, Sabour, S, Sachdev, P, Saddik, B, Sadeghi, E, Sadeghi, M, Saeedi, R, Saeedi Moghaddam, S, Safari, Y, Safi, S, Safiri, S, Sagar, R, Sahebkar, A, Sajadi, S, Salam, N, Salamati, P, Salem, H, Salem, M, Salimzadeh, H, Salman, O, Salomon, J, Samad, Z, Samadi Kafil, H, Sambala, E, Samy, A, Sanabria, J, Sanchez-Pimienta, T, Santomauro, D, Santos, I, Santos, J, Santric-Milicevic, M, Saraswathy, S, Sarmiento-Suarez, R, Sarrafzadegan, N, Sartorius, B, Sarveazad, A, Sathian, B, Sathish, T, Sattin, D, Saxena, S, Schaeffer, L, Schiavolin, S, Schlaich, M, Schmidt, M, Schutte, A, Schwebel, D, Schwendicke, F, Senbeta, A, Senthilkumaran, S, Sepanlou, S, Serdar, B, Serre, M, Shadid, J, Shafaat, O, Shahabi, S, Shaheen, A, Shaikh, M, Shalash, A, Shams-Beyranvand, M, Shamsizadeh, M, Sharafi, K, Sheikh, A, Sheikhtaheri, A, Shibuya, K, Shield, K, Shigematsu, M, Shin, J, Shin, M, Shiri, R, Shirkoohi, R, Shuval, K, Siabani, S, Sierpinski, R, Sigfusdottir, I, Sigurvinsdottir, R, Silva, J, Simpson, K, Singh, J, Singh, P, Skiadaresi, E, Skou, S, Skryabin, V, Smith, E, Soheili, A, Soltani, S, Soofi, M, 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Whiteford, H, Wiens, K, Wolfe, C, Wozniak, S, Wu, A, Wu, J, Wulf Hanson, S, Xu, G, Xu, R, Yadgir, S, Yahyazadeh Jabbari, S, Yamagishi, K, Yaminfirooz, M, Yano, Y, Yaya, S, Yazdi-Feyzabadi, V, Yeheyis, T, Yilgwan, C, Yilma, M, Yip, P, Yonemoto, N, Younis, M, Younker, T, Yousefi, B, Yousefi, Z, Yousefinezhadi, T, Yousuf, A, Yu, C, Yusefzadeh, H, Moghadam, T, Zamani, M, Zamanian, M, Zandian, H, Zastrozhin, M, Zhang, Y, Zhang, Z, Zhao, J, Zhao, X, Zhao, Y, Zheng, P, Zhou, M, Ziapour, A, Zimsen, S, Lim, S, Murray, C, Abbafati C., Abbas K. 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T., Mithra P., Moazen B., Mohammad D. K., Mohammad Y., Mohammad Gholi Mezerji N., Mohammadian-Hafshejani A., Mohammadifard N., Mohammadpourhodki R., Mohammed A. S., Mohammed H., Mohammed J. A., Mohammed S., Mokdad A. H., Molokhia M., Monasta L., Mooney M. D., Moradi G., Moradi M., Moradi-Lakeh M., Moradzadeh R., Moraga P., Morawska L., Morgado-Da-Costa J., Morrison S. D., Mosapour A., Mosser J. F., Mouodi S., Mousavi S. M., Khaneghah A. M., Mueller U. O., Mukhopadhyay S., Mullany E. C., Musa K. I., Muthupandian S., Nabhan A. F., Naderi M., Nagarajan A. J., Nagel G., Naghavi M., Naghshtabrizi B., Naimzada M. D., Najafi F., Nangia V., Nansseu J. R., Naserbakht M., Nayak V. C., Negoi I., Ngunjiri J. W., Nguyen C. T., Nguyen H. L. T., Nguyen M., Nigatu Y. T., Nikbakhsh R., Nixon M. R., Nnaji C. A., Nomura S., Norrving B., Noubiap J. J., Nowak C., Nunez-Samudio V., Oancea B., Odell C. M., Ogbo F. A., Oh I. -H., Okunga E. W., Oladnabi M., Olagunju A. T., Olusanya B. O., Olusanya J. 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P., Yousefi B., Yousefi Z., Yousefinezhadi T., Yousuf A. Y., Yu C., Yusefzadeh H., Moghadam T. Z., Zamani M., Zamanian M., Zandian H., Zastrozhin M. S., Zhang Y., Zhang Z. -J., Zhao J. T., Zhao X. -J. G., Zhao Y., Zheng P., Zhou M., Ziapour A., Zimsen S. R. M., Lim S. S., and Murray C. J. L.
- Abstract
Background: Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. Methods: GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk–outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk–outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk–outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each
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- 2020
17. Air pollution and asthma in children: Authors’ reply
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Lin, M, Chen, Y, Burnett, R T, Villeneuve, P J, and Krewski, D
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- 2004
18. Effects of air pollution on emergency room visits for respiratory illnesses in Montreal, Quebec.
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Delfino, R J, Murphy-Moulton, A M, Burnett, R T, Brook, J R, and Becklake, M R
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- 1997
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19. Health benefits of reducing NO x emissions in the presence of epidemiological and atmospheric nonlinearities
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Pappin, A J, primary, Hakami, A, additional, Blagden, P, additional, Nasari, M, additional, Szyszkowicz, M, additional, and Burnett, R T, additional
- Published
- 2016
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- View/download PDF
20. Assessment of the effect of cold and hot temperatures on mortality in Ontario, Canada: a population-based study
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Chen, H., primary, Wang, J., additional, Li, Q., additional, Yagouti, A., additional, Lavigne, E., additional, Foty, R., additional, Burnett, R. T., additional, Villeneuve, P. J., additional, Cakmak, S., additional, and Copes, R., additional
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- 2016
- Full Text
- View/download PDF
21. Data Resource Profile: 1991 Canadian Census Cohort
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Peters, P. A., primary, Tjepkema, M., additional, Wilkins, R., additional, Fines, P., additional, Crouse, D. L., additional, Chan, P. C. W., additional, and Burnett, R. T., additional
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- 2013
- Full Text
- View/download PDF
22. Associations between cigarette smoking, obesity, sociodemographic characteristics and remote-sensing-derived estimates of ambient PM2.5: results from a Canadian population-based survey
- Author
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Villeneuve, P. J., primary, Goldberg, M. S., additional, Burnett, R. T., additional, van Donkelaar, A., additional, Chen, H., additional, and Martin, R. V., additional
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- 2011
- Full Text
- View/download PDF
23. Differences in blood pressure and vascular responses associated with ambient fine particulate matter exposures measured at the personal versus community level
- Author
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Brook, R. D., primary, Bard, R. L., additional, Burnett, R. T., additional, Shin, H. H., additional, Vette, A., additional, Croghan, C., additional, Phillips, M., additional, Rodes, C., additional, Thornburg, J., additional, and Williams, R., additional
- Published
- 2010
- Full Text
- View/download PDF
24. A Daily Diary Panel Study of Congestive Heart Failure: Associations Between Health Outcomes and Air Pollution and Weather
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Goldberg, M S, primary, Burnett, R T, additional, Giannetti, N, additional, Mayo, N E, additional, Flegel, K, additional, and Valois, M F, additional
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- 2006
- Full Text
- View/download PDF
25. Reanalysis of the Harvard Six Cities Study, Part II: Sensitivity Analysis
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Krewski, D., primary, Burnett, R. T., additional, Goldberg, M., additional, Hoover, K., additional, Siemiatycki, J., additional, Abrahamowicz, M., additional, Villeneuve, P. J., additional, and White, W., additional
- Published
- 2005
- Full Text
- View/download PDF
26. Reanalysis of the Harvard Six Cities Study, Part I: Validation and Replication
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Krewski, D., primary, Burnett, R. T., additional, Goldberg, M., additional, Hoover, K., additional, Siemiatycki, J., additional, Abrahamowicz, M., additional, and White, W., additional
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- 2005
- Full Text
- View/download PDF
27. Identification of persons with cardiorespiratory conditions who are at risk of dying from the acute effects of ambient air particles.
- Author
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Goldberg, M S, primary, Burnett, R T, additional, Bailar, J C, additional, Tamblyn, R, additional, Ernst, P, additional, Flegel, K, additional, Brook, J, additional, Bonvalot, Y, additional, Singh, R, additional, Valois, M F, additional, and Vincent, R, additional
- Published
- 2001
- Full Text
- View/download PDF
28. ASSOCIATION BETWEEN PARTICULATE- AND GAS-PHASE COMPONENTS OF URBAN AIR POLLUTION AND DAILY MORTALITY IN EIGHT CANADIAN CITIES
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Burnett, R. T., primary, Brook, J., additional, Dann, T., additional, Delocla, C., additional, Philips, O., additional, Cakmak, S., additional, Vincent, R., additional, Goldberg, M. S., additional, and Krewski, D., additional
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- 2000
- Full Text
- View/download PDF
29. A time-series analysis of acidic particulate matter and daily mortality and morbidity in the Buffalo, New York, region.
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Gwynn, R C, primary, Burnett, R T, additional, and Thurston, G D, additional
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- 2000
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- View/download PDF
30. The role of particulate size and chemistry in the association between summertime ambient air pollution and hospitalization for cardiorespiratory diseases.
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Burnett, R T, primary, Cakmak, S, additional, Brook, J R, additional, and Krewski, D, additional
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- 1997
- Full Text
- View/download PDF
31. Association between ozone and asthma emergency department visits in Saint John, New Brunswick, Canada.
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Stieb, D M, primary, Burnett, R T, additional, Beveridge, R C, additional, and Brook, J R, additional
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- 1996
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32. Regression Models for Clinical Trials with Correlated Categorical Responses
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Burnett, R. T., primary, Shedden, J., additional, and Broekhoven, L., additional
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- 1993
- Full Text
- View/download PDF
33. Nonlinear regression models for correlated count data
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Burnett, R. T., primary, Shedden, J., additional, and Krewski, D., additional
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- 1992
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34. Association between ambient carbon monoxide levels and hospitalizations for congestive heart failure in the elderly in 10 Canadian cities.
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Burnett, Richard T., Dales, Robert E., Brook, Jeffrey R., Raizenne, Mark E., Krewski, Daniel, Burnett, R T, Dales, R E, Brook, J R, Raizenne, M E, and Krewski, D
- Published
- 1997
35. Associations between ambient particulate sulfate and admissions to Ontario hospitals for cardiac and respiratory diseases.
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Burnett, R T, Dales, R, Krewski, D, Vincent, R, Dann, T, and Brook, J R
- Abstract
The association of daily cardiac and respiratory admissions to 168 acute care hospitals in Ontario, Canada, with daily levels of particulate sulfates was examined over the 6-year period 1983-1988. Sulfate levels were recorded at nine monitoring stations in regions of southern and central Ontario spanned by three monitoring networks. A 13-micrograms/m3 increase in sulfates recorded on the day prior to admission (the 95th percentile) was associated with a 3.7% (p < 0.0001) increase in respiratory admissions and a 2.8% (p < 0.0001) increase in cardiac admissions. Increases were observed for all age groups examined. Admissions for cardiac diseases increased 2.5% for those under 65 years and 3.5% for those 65 years and older. After adjusting for ambient temperature and ozone, similar increases in respiratory admissions were observed in the period from April to September (3.2%) and in the period from October to March (2.8%). A 3.2% increase was observed for cardiac admissions in the period from April to September, and a 3.4% increase was observed in the period from October to March after adjusting for ambient temperature and ozone.
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- 1995
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36. Synoptic weather patterns and modification of the association between air pollution and human mortality
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Daniel Rainham, Tomic, K. E., Sheridan, S. C., and Burnett, R. T.
37. Risk of nonaccidental and cardiovascular mortality in relation to long-term exposure to low concentrations of fine particulate matter: A canadian national-level cohort study
- Author
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Crouse, D. L., Peters, P. A., Donkelaar, A., Goldberg, M. S., Villeneuve, P. J., Brion, O., Khan, S., Atari, D. O., Jerrett, M., Pope, C. A., Michael Brauer, Brook, J. R., Martin, R. V., Stieb, D., and Burnett, R. T.
38. Air pollution and health: a European and North American approach (APHENA)
- Author
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Katsouyanni, K., Samet, J. M., Anderson, H. R., Richard Atkinson, Le Tertre, A., Medina, S., Samoli, E., Touloumi, G., Burnett, R. T., Krewski, D., Ramsay, T., Dominici, F., Peng, R. D., Schwartz, J., and Zanobetti, A.
39. Health risks from acid rain: a Canadian perspective.
- Author
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Franklin, C A, primary, Burnett, R T, additional, Paolini, R J, additional, and Raizenne, M E, additional
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- 1985
- Full Text
- View/download PDF
40. Acute lung function responses to ambient acid aerosol exposures in children.
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Raizenne, M E, primary, Burnett, R T, additional, Stern, B, additional, Franklin, C A, additional, and Spengler, J D, additional
- Published
- 1989
- Full Text
- View/download PDF
41. Acute lung function responses to ambient acid aerosol exposures in children
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Franklin, C. A., Stern, B., Spengler, J. D. J. D. Spengler, Raizenne, M. E., and Burnett, R. T.
- Subjects
CHILDREN - Published
- 1989
42. Health risks from acid rain: a Canadian perspective
- Author
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Paolini, R. J. P., Burnett, R. T., Franklin, C. A., and Raizenne, M. E.
- Subjects
ACID rain ,EPIDEMIOLOGY ,HEALTH risk assessment - Published
- 1985
43. Non-linear mixed regression models
- Author
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Burnett, R. T., Krewski, D., and Ross, W. H.
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MATHEMATICAL models ,PHARMACOKINETICS - Published
- 1995
- Full Text
- View/download PDF
44. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
- Author
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Soufiane Boufous, Yousef Veisani, Mehran Asadi-Aliabadi, Sharath Burugina Nagaraja, Maziar Moradi-Lakeh, Getachew Mullu Kassa, Edward J Mills, Dimas Ria Angga Pribadi, William James Dangel, Mohamad-Hani Temsah, Catherine O. Johnson, Gregory A. Roth, Giuseppe Gorini, Fariborz Mansour-Ghanaei, Alberto Ortiz, Samad Azari, Assefa Ayalew Ayalew Ayalew Gebreslassie, Salime Goharinezhad, Stephanie R. M. Zimsen, Peng Zheng, Michael Assmus, Elisabetta Pupillo, Bach Xuan Tran, Lal B. Rawal, Narayanaswamy Venketasubramanian, Noushin Mohammadifard, Stephen S Lim, Ata Rafiee, Maria Inês Schmidt, Vincent C. Iannucci, Suzanne Lyn Barker-Collo, Leah E. Cahill, Tauseef Ahmad, Platon D. Lopukhov, Kazumasa Yamagishi, Abdullah Al Mamun, Iqbal R. F. Elyazar, Giovanni Damiani, Mohammad Hossein Bakhshaei, Mehdi Fazlzadeh, Virginia Núñez-Samudio, Alyssa Pennini, Dietrich Plass, Atkilt Esaiyas Etisso, Gebre Teklemariam Demoz, Alexandrea Watson, Arvin Haj-Mirzaian, Paul S Briant, Frank B. Osei, Blair R. Bumgarner, Maciej Banach, Ravensara S. Travillian, Kai-Lan Chang, Shirin Djalalinia, Hasan Yusefzadeh, Silvano Gallus, Seyyed Meysam Mousavi, Bernhard T. Baune, Aaron van Donkelaar, Azeem Majeed, Hans Kromhout, Robert Ancuceanu, Blessing J. Akombi, Pushpendra Singh, Nayu Ikeda, William M. Gardner, Zahid A Butt, Mohammad Abdollahi, Temesgen Yihunie Akalu, Rahman Shiri, Benn Sartorius, Ai-Min Wu, Bing Fang Hwang, Flavia M. Cicuttini, Hiroyasu Iso, Luis Camera, Amin Soheili, Félix Carvalho, Yun Jin Kim, Caleb Mackay Salpeter Irvine, Mehdi Mirzaei-Alavijeh, Iman Halvaei, Saqib Ali, Giulio Castelpietra, Catalina Liliana Andrei, Ali Kazemi Karyani, Parkes J Kendrick, Hamidreza Haririan, Lucas Guimarães Abreu, Mukhammad David Naimzada, Jeff T. Zhao, Samiah Alam, Sorin Hostiuc, Shaun Wen Huey Lee, João Mauricio Castaldelli-Maia, Behzad Karami Matin, Cyrus Alinia, Takahiro Tabuchi, Manu Raj Mathur, Søren Thorgaard Skou, Thomas Khaled Dwayne Classen, Reza Heidari-Soureshjani, Massimo Cirillo, Nikita Otstavnov, Mehdi Bohluli, Ruth W. Kimokoti, Animut Tagele Tamiru, Masoumeh Sadeghi, Mohammad Ali Jahani, Itamar S. Santos, Mekdes Tigistu Yilma, Lars Johansson, Arielle Wilder Eagan, Nevine El Nahas, Silvia Schiavolin, Kevin D. Shield, Dinh-Toi Chu, Shiva Borzouei, Paul S. F. Yip, Beatrix Haddock, Gianfranco Alicandro, Vasily Vlassov, Deanna Anderlini, Giuseppe Remuzzi, Khalid A Altirkawi, Farahnaz Joukar, Aso Mohammad Darwesh, Ratilal Lalloo, Panniyammakal Jeemon, Rohollah Kalhor, Daniel Youngwhan Cho, Weijia Fu, João Pedro Silva, Rodrigo Sarmiento-Suarez, Seth Christopher Yaw Appiah, Mehdi Ahmadi, Jacob Olusegun Olusanya, José Neves, Gaorui Guo, Tomas Y. Yeheyis, John S. Ji, Charles D. H. Parry, Maryam Ghadimi, Seyed-Mohammad Fereshtehnejad, Serge Resnikoff, Anna E. Torre, Vinod C Nayak, Jamileh Shadid, Susanne Breitner, Mohammad Khammarnia, Mathilde Touvier, Ensiyeh Jenabi, Hosna Janjani, Floriane Ausloos, Irmina Maria Michalek, Alexandra S. Boon-Dooley, Jessica A. Cruz, Syed Mohamed Aljunid, Abiodun M. Adeoye, André Faro, Bartosz Miazgowski, Jobert Richie Nansseu, Erin C Mullany, Giannina Ferrara, Martin McKee, Emmanuel Peprah, Oommen John, Reza Saeedi, Yasser Vasseghian, Dragos Virgil Davitoiu, Sarah Wulf Hanson, Yingxi Zhao, Omid Shafaat, Ali Rajabpour-Sanati, Farid Najafi, Ana Maria Mantilla Herrera, Fatemeh Rajati, Tarun Gupta, Łukasz Szumowski, Mohammed Ibrahim Mohialdeen Gubari, Peter Njenga Keiyoro, Dharmesh Kumar Lal, Zhi Jiang Zhang, Osayomwanbo Osarenotor, Tanvir M. Huda, Perminder S. Sachdev, Farhad Ghamari, Era Upadhyay, Vivek Kumar, Guoqing Hu, Vinay Nangia, Vladimir Andreevich Korshunov, Saeed Shahabi, Golnaz Heidari, Ashraf Nabhan, Robert C. Reiner, Aziz Rezapour, Justin J. Lang, Rakhi Dandona, Josephine W. Ngunjiri, Anna-Karin Danielsson, André Karch, Filippo Ariani, Ahmed Abdelalim, Masih Tajdini, Stefanos Tyrovolas, Mohamed Hsairi, Jae Il Shin, Jasvinder A. Singh, Meghan D. Mooney, Fiona B. Bennitt, Hesam Alizade, Segun Emmanuel Ibitoye, Pradhum Ram, Soraya Siabani, Evanson Z. Sambala, Reza Malekzadeh, Falk Schwendicke, Lalit Dandona, Masoud Moradi, Molly R Nixon, Roya Mirzaei, Rachel Feldman, Hosni Salem, Alberto L. García-Basteiro, Lorainne Tudor Car, Sharareh Eskandarieh, Ramesh Holla, Ritesh G. Menezes, Taraneh Yousefinezhadi, Hai Quang Pham, Hamideh Salimzadeh, Luisa Sorio Flor, Priya Rathi, Ali Bijani, Harvey Whiteford, Shanshan Li, Aleksandr Y. Aravkin, Joshua A. Salomon, Franz Castro, Lisa M. Force, Abdilahi Yousuf Yousuf, Mina Anjomshoa, Ken Takahashi, Maigeng Zhou, Telma Zahirian Moghadam, Maseer Khan, Irina Filip, Santi Martini, Randah R. 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Mini, Christian Razo, Manuela L. Ferreira, Diego De Leo, Francesco Saverio Violante, Aristidis Tsatsakis, Zahra Sadat Dibaji Forooshani, Tea Lallukka, Dickson A. Amugsi, Anna Poznańska, Graeme J. Hankey, Kewal Krishan, Maryam Zamanian, Eirini Skiadaresi, Jai K Das, Felix Greaves, Tessa M. Pilz, Sameer Vali Gopalani, Mansour Ghafourifard, M. DeLang, Morteza Mahmoudi, Alton Lu, Brian J. Hall, Ravi Prakash Jha, David Edvardsson, Xiu Ju George Zhao, Farshad Farzadfar, Hadi Hassankhani, Samuel M. Ostroff, Gerhard Sulo, Keyghobad Ghadiri, Neeraj Bhala, Stefan Lorkowski, Mohammad Rabiee, Sivan Yegnanarayana Iyer Saraswathy, Amirhossein Sahebkar, Rashid Abdi Guled, Abdallah M. Samy, Roman Topor-Madry, Michal Grivna, Afsaneh Arzani, Ayesha Humayun, Simin Liu, Maryam Khayamzadeh, Davoud Adham, Ahad Bakhtiari, Shafiu Mohammed, Paolo Lauriola, Abbas Mosapour, Sophia Emmons-Bell, Khurshid Alam, Rajat Das Gupta, Matilde Leonardi, Muktar Beshir Ahmed, Jeffrey V. Lazarus, Mohamed M. 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Giussani, G, Gnedovskaya, E, Goharinezhad, S, Gopalani, S, Gorini, G, Goudarzi, H, Goulart, A, Greaves, F, Grivna, M, Grosso, G, Gubari, M, Gugnani, H, Guimaraes, R, Guled, R, Guo, G, Guo, Y, Gupta, R, Gupta, T, Haddock, B, Hafezi-Nejad, N, Hafiz, A, Haj-Mirzaian, A, Hall, B, Halvaei, I, Hamadeh, R, Hamidi, S, Hammer, M, Hankey, G, Haririan, H, Haro, J, Hasaballah, A, Hasan, M, Hasanpoor, E, Hashi, A, Hassanipour, S, Hassankhani, H, Havmoeller, R, Hay, S, Hayat, K, Heidari, G, Heidari-Soureshjani, R, Henrikson, H, Herbert, M, Herteliu, C, Heydarpour, F, Hird, T, Hoek, H, Holla, R, Hoogar, P, Hosgood, H, Hossain, N, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Hsieh, V, Hu, G, Hu, K, Huda, T, Humayun, A, Huynh, C, Hwang, B, Iannucci, V, Ibitoye, S, Ikeda, N, Ikuta, K, Ilesanmi, O, Ilic, I, Ilic, M, Inbaraj, L, Ippolito, H, Iqbal, U, Irvani, S, Irvine, C, Islam, M, Islam, S, Iso, H, Ivers, R, Iwu, C, Iyamu, I, Jaafari, J, Jacobsen, K, Jafari, H, Jafarinia, M, Jahani, M, Jakovljevic, M, Jalilian, F, James, S, Janjani, H, Javaheri, T, Javidnia, J, Jeemon, P, Jenabi, E, Jha, R, Jha, V, Ji, J, Johansson, L, John, O, John-Akinola, Y, Johnson, C, Jonas, J, Joukar, F, Jozwiak, J, Jurisson, M, Kabir, A, Kabir, Z, Kalani, H, Kalani, R, Kalankesh, L, Kalhor, R, Kanchan, T, Kapoor, N, Matin, B, Karch, A, Karim, M, Kassa, G, Katikireddi, S, Kayode, G, Kazemi Karyani, A, Keiyoro, P, Keller, C, Kemmer, L, Kendrick, P, Khalid, N, Khammarnia, M, Khan, E, Khan, M, Khatab, K, Khater, M, Khatib, M, Khayamzadeh, M, Khazaei, S, Kieling, C, Kim, Y, Kimokoti, R, Kisa, A, Kisa, S, Kivimaki, M, Knibbs, L, Knudsen, A, Kocarnik, J, Kochhar, S, Kopec, J, Korshunov, V, Koul, P, Koyanagi, A, Kraemer, M, Krishan, K, Krohn, K, Kromhout, H, Kuate Defo, B, Kumar, G, Kumar, V, Kurmi, O, Kusuma, D, La Vecchia, C, Lal, D, Lalloo, R, Lallukka, T, Lami, F, Landires, I, Lang, J, Langan, S, Larsson, A, Lasrado, S, Lauriola, P, Lazarus, J, Lee, P, Lee, S, Legrand, K, Leigh, J, Leonardi, M, Lescinsky, H, Leung, J, Levi, M, Li, S, Lim, L, Linn, S, Liu, S, Liu, Y, Lo, J, Lopez, A, Lopez, J, Lopukhov, P, Lorkowski, S, Lotufo, P, Lu, A, Lugo, A, Maddison, E, Mahasha, P, Mahdavi, M, Mahmoudi, M, Majeed, A, Maleki, A, Maleki, S, Malekzadeh, R, Malta, D, Mamun, A, Manda, A, Manguerra, H, Mansour-Ghanaei, F, Mansouri, B, Mansournia, M, Mantilla Herrera, A, Maravilla, J, Marks, A, Martin, R, Martini, S, Martins-Melo, F, Masaka, A, Masoumi, S, Mathur, M, Matsushita, K, Maulik, P, Mcalinden, C, Mcgrath, J, Mckee, M, Mehndiratta, M, Mehri, F, Mehta, K, Memish, Z, Mendoza, W, Menezes, R, Mengesha, E, Mereke, A, Mereta, S, Meretoja, A, Meretoja, T, Mestrovic, T, Miazgowski, B, Miazgowski, T, Michalek, I, Miller, T, Mills, E, Mini, G, Miri, M, Mirica, A, Mirrakhimov, E, Mirzaei, H, Mirzaei, M, Mirzaei, R, Mirzaei-Alavijeh, M, Misganaw, A, Mithra, P, Moazen, B, Mohammad, D, Mohammad, Y, Mohammad Gholi Mezerji, N, Mohammadian-Hafshejani, A, Mohammadifard, N, Mohammadpourhodki, R, Mohammed, A, Mohammed, H, Mohammed, J, Mohammed, S, Mokdad, A, Molokhia, M, Monasta, L, Mooney, M, Moradi, G, Moradi, M, Moradi-Lakeh, M, Moradzadeh, R, Moraga, P, Morawska, L, Morgado-Da-Costa, J, Morrison, S, Mosapour, A, Mosser, J, Mouodi, S, Mousavi, S, Khaneghah, A, Mueller, U, Mukhopadhyay, S, Mullany, E, Musa, K, Muthupandian, S, Nabhan, A, Naderi, M, Nagarajan, A, Nagel, G, Naghavi, M, Naghshtabrizi, B, Naimzada, M, Najafi, F, Nangia, V, Nansseu, J, Naserbakht, M, Nayak, V, Negoi, I, Ngunjiri, J, Nguyen, C, Nguyen, H, Nguyen, M, Nigatu, Y, Nikbakhsh, R, Nixon, M, Nnaji, C, Nomura, S, Norrving, B, Noubiap, J, Nowak, C, Nunez-Samudio, V, Oancea, B, Odell, C, Ogbo, F, Oh, I, Okunga, E, Oladnabi, M, Olagunju, A, Olusanya, B, Olusanya, J, Omer, M, Ong, K, Onwujekwe, O, Orpana, H, Ortiz, A, Osarenotor, O, Osei, F, Ostroff, S, Otoiu, A, Otstavnov, N, Otstavnov, S, Overland, S, Owolabi, M, Mahesh, P, Padubidri, J, Palladino, R, Panda-Jonas, S, Pandey, A, Parry, C, Pasovic, M, Pasupula, D, Patel, S, Pathak, M, Patten, S, Patton, G, Toroudi, H, Peden, A, Pennini, A, Pepito, V, Peprah, E, Pereira, D, Pesudovs, K, Pham, H, Phillips, M, Piccinelli, C, Pilz, T, Piradov, M, Pirsaheb, M, Plass, D, Polinder, S, Polkinghorne, K, Pond, C, Postma, M, Pourjafar, H, Pourmalek, F, Poznanska, A, Prada, S, Prakash, V, Pribadi, D, Pupillo, E, Syed, Z, Rabiee, M, Rabiee, N, Radfar, A, Rafiee, A, Raggi, A, Rahman, M, Rajabpour-Sanati, A, Rajati, F, Rakovac, I, Ram, P, Ramezanzadeh, K, Ranabhat, C, Rao, P, Rao, S, Rashedi, V, Rathi, P, Rawaf, D, Rawaf, S, Rawal, L, Rawassizadeh, R, Rawat, R, Razo, C, Redford, S, Reiner, R, Reitsma, M, Remuzzi, G, Renjith, V, Renzaho, A, Resnikoff, S, Rezaei, N, Rezapour, A, Rhinehart, P, Riahi, S, Ribeiro, D, Rickard, J, Rivera, J, Roberts, N, Rodriguez-Ramirez, S, Roever, L, Ronfani, L, Room, R, Roshandel, G, Roth, G, Rothenbacher, D, Rubagotti, E, Rwegerera, G, Sabour, S, Sachdev, P, Saddik, B, Sadeghi, E, Sadeghi, M, Saeedi, R, Saeedi Moghaddam, S, Safari, Y, Safi, S, Safiri, S, Sagar, R, Sahebkar, A, Sajadi, S, Salam, N, Salamati, P, Salem, H, Salem, M, Salimzadeh, H, Salman, O, Salomon, J, Samad, Z, Samadi Kafil, H, Sambala, E, Samy, A, Sanabria, J, Sanchez-Pimienta, T, Santomauro, D, Santos, I, Santos, J, Santric-Milicevic, M, Saraswathy, S, Sarmiento-Suarez, R, Sarrafzadegan, N, Sarveazad, A, Sathian, B, Sathish, T, Sattin, D, Saxena, S, Schaeffer, L, Schiavolin, S, Schlaich, M, Schmidt, M, Schutte, A, Schwebel, D, Schwendicke, F, Senbeta, A, Senthilkumaran, S, Sepanlou, S, Serdar, B, Serre, M, Shadid, J, Shafaat, O, Shahabi, S, Shaheen, A, Shaikh, M, Shalash, A, Shams-Beyranvand, M, Shamsizadeh, M, Sharafi, K, Sheikh, A, Sheikhtaheri, A, Shibuya, K, Shield, K, Shigematsu, M, Shin, J, Shin, M, Shiri, R, Shirkoohi, R, Shuval, K, Siabani, S, Sierpinski, R, Sigfusdottir, I, Sigurvinsdottir, R, Silva, J, Simpson, K, Singh, J, Singh, P, Skiadaresi, E, Skou, S, Skryabin, V, Smith, E, Soheili, A, Soltani, S, Soofi, M, Sorensen, R, Soriano, J, Sorrie, M, Soshnikov, S, Soyiri, I, Spencer, C, Spotin, A, Sreeramareddy, C, Srinivasan, V, Stanaway, J, Stein, C, Stein, D, Steiner, C, Stockfelt, L, Stokes, M, Straif, K, Stubbs, J, Sufiyan, M, Suleria, H, Suliankatchi Abdulkader, R, Sulo, G, Sultan, I, Tabares-Seisdedos, R, Tabb, K, Tabuchi, T, Taherkhani, A, Tajdini, M, Takahashi, K, Takala, J, Tamiru, A, Taveira, N, Tehrani-Banihashemi, A, Temsah, M, Tesema, G, Tessema, Z, Thurston, G, Titova, M, Tohidinik, H, Tonelli, M, Topor-Madry, R, Topouzis, F, Torre, A, Touvier, M, Tovani-Palone, M, Tran, B, Travillian, R, Tsatsakis, A, Tudor Car, L, Tyrovolas, S, Uddin, R, Umeokonkwo, C, Unnikrishnan, B, Upadhyay, E, Vacante, M, Valdez, P, van Donkelaar, A, Vasankari, T, Vasseghian, Y, Veisani, Y, Venketasubramanian, N, Violante, F, Vlassov, V, Vollset, S, Vos, T, Vukovic, R, Waheed, Y, Wallin, M, Wang, Y, Watson, A, Wei, J, Wei, M, Weintraub, R, Weiss, J, Werdecker, A, West, J, Westerman, R, Whisnant, J, Whiteford, H, Wiens, K, Wolfe, C, Wozniak, S, Wu, A, Wu, J, Wulf Hanson, S, Xu, G, Xu, R, Yadgir, S, Yahyazadeh Jabbari, S, Yamagishi, K, Yaminfirooz, M, Yano, Y, Yaya, S, Yazdi-Feyzabadi, V, Yeheyis, T, Yilgwan, C, Yilma, M, Yip, P, Yonemoto, N, Younis, M, Younker, T, Yousefi, B, Yousefi, Z, Yousefinezhadi, T, Yousuf, A, Yu, C, Yusefzadeh, H, Moghadam, T, Zamani, M, Zamanian, M, Zandian, H, Zastrozhin, M, Zhang, Y, Zhang, Z, Zhao, J, Zhao, X, Zhao, Y, Zheng, P, Zhou, M, Ziapour, A, Zimsen, S, Lim, S, Murray, C, GBD 2019 Risk Factors Collaborator, Violante FS, Biosciences, Department of Public Health, Clinicum, Department of Neurosciences, HUS Comprehensive Cancer Center, Environmental Sciences, Sub Foundations&PhilosophyofNaturSc begr, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Public Health, Bin Sayeed, M. S. B., Caetano Dos Santos, F. L., Camera, L. A., Elyazar, I. R. F., Ayalew Gebreslassie, A. A. A., Ginindza, T. G., Matin, B. K., Morgado-Da-Costa, J., Khaneghah, A. M., Mahesh, P. A., Toroudi, H. P., Syed, Z. Q., Salem, M. R., Skou, S. T., Tovani-Palone, M. R., Tudor Car, L. T., and Moghadam, T. Z.
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Male ,Nutritional Sciences ,Specific risk ,Contaminación del Aire Interior ,030204 cardiovascular system & hematology ,Socioeconomic Factor ,systematic analysis ,Global Health ,Body Mass Index ,Global Burden of Disease ,Health Risk Behavior ,Health Risk Behaviors ,Disease studies ,0302 clinical medicine ,Risk Factors ,METABOLIC RISKS ,030212 general & internal medicine ,11 Medical and Health Sciences ,Factores de Riesgo ,2. Zero hunger ,education.field_of_study ,Public health ,Injuries ,Public Health, Global Health, Social Medicine and Epidemiology ,General Medicine ,GBD ,risck factors ,attributable burden of disease ,3142 Public health care science, environmental and occupational health ,3. Good health ,Relative risk ,Environmental health ,Health ,Hypertension ,Global Burden of Diseases, Injuries, Risk Factors ,A990 Medicine and Dentistry not elsewhere classified ,Female ,Leading risk factors ,Global Health Metrics ,Cohort study ,Human ,medicine.medical_specialty ,Substance-Related Disorders ,Population ,UNITED-STATES ,Risk Assessment ,DIET ,ITC-HYBRID ,03 medical and health sciences ,Life Expectancy ,MORTALITY ,DISABILITY ,POLLUTION ,CLUSTERS ,SDG 3 - Good Health and Well-being ,General & Internal Medicine ,medicine ,Humans ,Global Burden of Disease Study ,Risk factor ,education ,Global burden ,business.industry ,Risk Factor ,Malnutrition ,Klinisk medicin ,Global Burden of Diseases ,Environmental Exposure ,medicine.disease ,Enfermedades ,purl.org/pe-repo/ocde/ford#3.02.00 [https] ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Years of potential life lost ,Socioeconomic Factors ,Risk factors ,Disease study ,Hyperglycemia ,ITC-ISI-JOURNAL-ARTICLE ,NA ,Clinical Medicine ,business ,RA - Abstract
Background Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. Methods GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk-outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk-outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk-outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. Across all six analytical steps, 30 652 distinct data sources were used in the analysis. Uncertainty in each step of the analysis was propagated into the final estimates of attributable burden. Exposure levels for dichotomous, polytomous, and continuous risk factors were summarised with use of the summary exposure value to facilitate comparisons over time, across location, and across risks. Because the entire time series from 1990 to 2019 has been re-estimated with use of consistent data and methods, these results supersede previously published GBD estimates of attributable burden. Findings The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure. Global declines also occurred for tobacco smoking and lead exposure. The largest increases in risk exposure were for ambient particulate matter pollution, drug use, high fasting plasma glucose, and high body-mass index. In 2019, the leading Level 2 risk factor globally for attributable deaths was high systolic blood pressure, which accounted for 10.8 million (95% uncertainty interval [UI] 9.51-12.1) deaths (19.2% [16.9-21.3] of all deaths in 2019), followed by tobacco (smoked, second-hand, and chewing), which accounted for 8.71 million (8.12-9.31) deaths (15.4% [14.6-16.2] of all deaths in 2019). The leading Level 2 risk factor for attributable DALYs globally in 2019 was child and maternal malnutrition, which largely affects health in the youngest age groups and accounted for 295 million (253-350) DALYs (11.6% [10.3-13.1] of all global DALYs that year). The risk factor burden varied considerably in 2019 between age groups and locations. Among children aged 0-9 years, the three leading detailed risk factors for attributable DALYs were all related to malnutrition. Iron deficiency was the leading risk factor for those aged 10-24 years, alcohol use for those aged 25-49 years, and high systolic blood pressure for those aged 50-74 years and 75 years and older. Interpretation Overall, the record for reducing exposure to harmful risks over the past three decades is poor. Success with reducing smoking and lead exposure through regulatory policy might point the way for a stronger role for public policy on other risks in addition to continued efforts to provide information on risk factor harm to the general public. Copyright (C) 2020 The Author(s). Published by Elsevier Ltd.
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- 2020
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45. Long-Term Exposure to Outdoor Ultrafine Particles and Black Carbon and Effects on Mortality in Montreal and Toronto, Canada.
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Weichenthal S, Lloyd M, Ganji A, Simon L, Xu J, Venuta A, Schmidt A, Apte J, Chen H, Lavigne E, Villeneuve P, Olaniyan T, Tjepkema M, Burnett RT, and Hatzopoulou M
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- Humans, Male, Female, Middle Aged, Aged, Air Pollution adverse effects, Air Pollution analysis, Adult, Ontario epidemiology, Quebec epidemiology, Mortality, Environmental Monitoring, Vehicle Emissions analysis, Canada epidemiology, Particulate Matter analysis, Environmental Exposure adverse effects, Environmental Exposure analysis, Air Pollutants analysis, Soot analysis
- Abstract
Introduction: Numerous studies support an important relationship between long-term exposure to outdoor fine particulate air pollution (PM
2.5 ) and both nonaccidental and cause-specific mortality. Less is known about the long-term health consequences of other traffic pollutants, including ultrafine particles (UFPs, <0.1 μm) and black carbon (BC), which are often present at elevated concentrations in urban areas but are not currently regulated. Knowledge is lacking largely because these pollutants generally are not monitored by governments and vary greatly over small spatial scales, hindering the evaluation of long-term exposures in population-based studies., Methods: We aimed to estimate associations between long-term exposures to outdoor UFPs and BC and nonaccidental and cause-specific mortality in Canada's two largest cities, Montreal and Toronto. We considered several approaches to exposure assessment: (1) land use regression (LUR) models based on large-scale year-long mobile monitoring campaigns combined with detailed land use and traffic information; (2) machine learning (i.e., convolutional neural networks [CNN]) models trained by combining mobile monitoring data with aerial images; and (3) the combined use of these two approaches. We also examined exposure models with and without backcasting based on historical trends in vehicle emissions (to capture potential trends in pollutant concentrations over time) and with and without accounting for neighborhood-level mobility patterns (based on travel demand surveys). These exposure models were linked to members of the Canadian Census Health and Environment Cohorts (CanCHEC) residing in Montreal or Toronto (including census years 1991, 1996, 2001, and 2006) with mortality follow-up from 2001 (or cohort entry for the 2006 cohort) to 2016. Cox proportional hazard models were used to estimate associations between long-term exposures to outdoor UFPs and BC, adjusting for sociodemographic factors and co-pollutants identified as potential confounding factors. Concentration-response relationships for outdoor UFPs and BC were also examined for nonaccidental and cause-specific mortality using smoothing splines., Results: Our cohort study included approximately 1.5 million people with 174,200 nonaccidental deaths observed during the follow-up period. Combined LUR and machine learning model predictions performed slightly better than LUR models alone and were used as the main exposure models in all epidemiological analyses. Long-term exposures to outdoor UFP number concentrations were consistently positively associated with nonaccidental and cause-specific mortality. Importantly, hazard ratios (HRs) for outdoor UFP number concentrations were sensitive to adjustment for UFP size: UFP size was inversely related to number concentrations and independently associated with mortality, resulting in underestimation of mortality risk for outdoor UFP number concentrations when UFP size was excluded. HRs for outdoor UFP number concentrations were robust to backcasting and mobility weighting but varied slightly in analyses using LUR and machine learning models alone, with stronger associations typically observed for the machine learning models. Associations between outdoor BC concentrations and mortality were generally weak or null, but a positive association was observed for cardiovascular mortality., Conclusions: Outdoor UFP number concentrations were consistently associated with increased risks of nonaccidental and cause-specific mortality in Montreal and Toronto. Our results suggest that UFP size should be considered in epidemiological analyses of outdoor UFP number concentrations, as excluding size can lead to an underestimation of health risks. Our results suggest that outdoor UFP number concentrations are positively associated with mortality independent of other outdoor air pollutants, including PM2.5 mass concentrations and oxidant gases (i.e., nitrogen dioxide [NO2 ] and ozone [O3 ]). As outdoor UFPs are currently unregulated, interventions targeting these pollutants could significantly affect population health., (© 2024 Health Effects Institute. All rights reserved.)- Published
- 2024
46. Mortality-Air Pollution Associations in Low Exposure Environments (MAPLE): Phase 2.
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Brauer M, Brook JR, Christidis T, Chu Y, Crouse DL, Erickson A, Hystad P, Li C, Martin RV, Meng J, Pappin AJ, Pinault LL, Tjepkema M, van Donkelaar A, Weagle C, Weichenthal S, and Burnett RT
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- Adult, Aged, Aged, 80 and over, Bayes Theorem, Canada epidemiology, Humans, Middle Aged, Nitrogen Dioxide adverse effects, Nitrogen Dioxide analysis, Oxidants, Ozone adverse effects, Ozone analysis, Particulate Matter adverse effects, Particulate Matter analysis, Air Pollutants adverse effects, Air Pollutants analysis, Air Pollution adverse effects, Environmental Exposure adverse effects, Environmental Exposure statistics & numerical data, Mortality
- Abstract
Introduction: Mortality is associated with long-term exposure to fine particulate matter (particulate matter ≤2.5 μm in aerodynamic diameter; PM
2.5 ), although the magnitude and form of these associations remain poorly understood at lower concentrations. Knowledge gaps include the shape of concentration-response curves and the lowest levels of exposure at which increased risks are evident and the occurrence and extent of associations with specific causes of death. Here, we applied improved estimates of exposure to ambient PM2.5 to national population-based cohorts in Canada, including a stacked cohort of 7.1 million people who responded to census year 1991, 1996, or 2001. The characterization of the shape of the concentration-response relationship for nonaccidental mortality and several specific causes of death at low levels of exposure was the focus of the Mortality-Air Pollution Associations in Low Exposure Environments (MAPLE) Phase 1 report. In the Phase 1 report we reported that associations between outdoor PM2.5 concentrations and nonaccidental mortality were attenuated with the addition of ozone (O3 ) or a measure of gaseous pollutant oxidant capacity (Ox ), which was estimated from O3 and nitrogen dioxide (NO2 ) concentrations. This was motivated by our interests in understanding both the effects air pollutant mixtures may have on mortality and also the role of O3 as a copollutant that shares common sources and precursor emissions with those of PM2.5 . In this Phase 2 report, we further explore the sensitivity of these associations with O3 and Ox , evaluate sensitivity to other factors, such as regional variation, and present ambient PM2.5 concentration-response relationships for specific causes of death., Methods: PM2.5 concentrations were estimated at 1 km2 spatial resolution across North America using remote sensing of aerosol optical depth (AOD) combined with chemical transport model (GEOS-Chem) simulations of the AOD:surface PM2.5 mass concentration relationship, land use information, and ground monitoring. These estimates were informed and further refined with collocated measurements of PM2.5 and AOD, including targeted measurements in areas of low PM2.5 concentrations collected at five locations across Canada. Ground measurements of PM2.5 and total suspended particulate matter (TSP) mass concentrations from 1981 to 1999 were used to backcast remote-sensing-based estimates over that same time period, resulting in modeled annual surfaces from 1981 to 2016., Annual exposures to PM2.5 were then estimated for subjects in several national population-based Canadian cohorts using residential histories derived from annual postal code entries in income tax files. These cohorts included three census-based cohorts: the 1991 Canadian Census Health and Environment Cohort (CanCHEC; 2.5 million respondents), the 1996 CanCHEC (3 million respondents), the 2001 CanCHEC (3 million respondents), and a Stacked CanCHEC where duplicate records of respondents were excluded (Stacked CanCHEC; 7.1 million respondents). The Canadian Community Health Survey (CCHS) mortality cohort (mCCHS), derived from several pooled cycles of the CCHS (540,900 respondents), included additional individual information about health behaviors. Follow-up periods were completed to the end of 2016 for all cohorts. Cox proportional hazard ratios (HRs) were estimated for nonaccidental and other major causes of death using a 10-year moving average exposure and 1-year lag. All models were stratified by age, sex, immigrant status, and where appropriate, census year or survey cycle. Models were further adjusted for income adequacy quintile, visible minority status, Indigenous identity, educational attainment, labor-force status, marital status, occupation, and ecological covariates of community size, airshed, urban form, and four dimensions of the Canadian Marginalization Index (Can-Marg; instability, deprivation, dependency, and ethnic concentration). The mCCHS analyses were also adjusted for individual-level measures of smoking, alcohol consumption, fruit and vegetable consumption, body mass index (BMI), and exercise behavior., In addition to linear models, the shape of the concentration-response function was investigated using restricted cubic splines (RCS). The number of knots were selected by minimizing the Bayesian Information Criterion (BIC). Two additional models were used to examine the association between nonaccidental mortality and PM2.5 . The first is the standard threshold model defined by a transformation of concentration equaling zero if the concentration was less than a specific threshold value and concentration minus the threshold value for concentrations above the threshold. The second additional model was an extension of the Shape Constrained Health Impact Function (SCHIF), the eSCHIF, which converts RCS predictions into functions potentially more suitable for use in health impact assessments. Given the RCS parameter estimates and their covariance matrix, 1,000 realizations of the RCS were simulated at concentrations from the minimum to the maximum concentration, by increments of 0.1 μg/m3 . An eSCHIF was then fit to each of these RCS realizations. Thus, 1,000 eSCHIF predictions and uncertainty intervals were determined at each concentration within the total range., Sensitivity analyses were conducted to examine associations between PM2.5 and mortality when in the presence of, or stratified by tertile of, O3 or Ox . Additionally, associations between PM2.5 and mortality were assessed for sensitivity to lower concentration thresholds, where person-years below a threshold value were assigned the mean exposure within that group. We also examined the sensitivity of the shape of the nonaccidental mortality-PM2.5 association to removal of person-years at or above 12 μg/m3 (the current U.S. National Ambient Air Quality Standard) and 10 μg/m3 (the current Canadian and former [2005] World Health Organization [WHO] guideline, and current WHO Interim Target-4). Finally, differences in the shapes of PM2.5 -mortality associations were assessed across broad geographic regions (airsheds) within Canada., Results: The refined PM2.5 exposure estimates demonstrated improved performance relative to estimates applied previously and in the MAPLE Phase 1 report, with slightly reduced errors, including at lower ranges of concentrations (e.g., for PM2.5 <10 μg/m3 )., Positive associations between outdoor PM2.5 concentrations and nonaccidental mortality were consistently observed in all cohorts. In the Stacked CanCHEC analyses (1.3 million deaths), each 10-μg/m3 increase in outdoor PM2.5 concentration corresponded to an HR of 1.084 (95% confidence interval [CI]: 1.073 to 1.096) for nonaccidental mortality. For an interquartile range (IQR) increase in PM2.5 mass concentration of 4.16 μg/m3 and for a mean annual nonaccidental death rate of 92.8 per 10,000 persons (over the 1991-2016 period for cohort participants ages 25-90), this HR corresponds to an additional 31.62 deaths per 100,000 people, which is equivalent to an additional 7,848 deaths per year in Canada, based on the 2016 population. In RCS models, mean HR predictions increased from the minimum concentration of 2.5 μg/m3 to 4.5 μg/m3 , flattened from 4.5 μg/m3 to 8.0 μg/m3 , then increased for concentrations above 8.0 μg/m3 . The threshold model results reflected this pattern with -2 log-likelihood values being equal at 2.5 μg/m3 and 8.0 μg/m3 . However, mean threshold model predictions monotonically increased over the concentration range with the lower 95% CI equal to one from 2.5 μg/m3 to 8.0 μg/m3 . The RCS model was a superior predictor compared with any of the threshold models, including the linear model., In the mCCHS cohort analyses inclusion of behavioral covariates did not substantially change the results for both linear and nonlinear models. We examined the sensitivity of the shape of the nonaccidental mortality-PM2.5 association to removal of person-years at or above the current U.S. and Canadian standards of 12 μg/m3 and 10 μg/m3 , respectively. In the full cohort and in both restricted cohorts, a steep increase was observed from the minimum concentration of 2.5 μg/m3 to 5 μg/m3 . For the full cohort and the <12 μg/m3 cohort the relationship flattened over the 5 to 9 μg/m3 range and then increased above 9 μg/m3 . A similar increase was observed for the <10 μg/m3 cohort followed by a clear decline in the magnitude of predictions over the 5 to 9 μg/m3 range and an increase above 9 μg/m3 . Together these results suggest that a positive association exists for concentrations >9 μg/m3 with indications of adverse effects on mortality at concentrations as low as 2.5 μg/m3 ., Among the other causes of death examined, PM2.5 exposures were consistently associated with an increased hazard of mortality due to ischemic heart disease, respiratory disease, cardiovascular disease, and diabetes across all cohorts. Associations were observed in the Stacked CanCHEC but not in all other cohorts for cerebrovascular disease, pneumonia, and chronic obstructive pulmonary disease (COPD) mortality. No significant associations were observed between mortality and exposure to PM2.5 for heart failure, lung cancer, and kidney failure., In sensitivity analyses, the addition of O3 and Ox attenuated associations between PM2.5 and mortality. When analyses were stratified by tertiles of copollutants, associations between PM2.5 and mortality were only observed in the highest tertile of O3 or Ox . Across broad regions of Canada, linear HR estimates and the shape of the eSCHIF varied substantially, possibly reflecting underlying differences in air pollutant mixtures not characterized by PM2.5 mass concentrations or the included gaseous pollutants. Sensitivity analyses to assess regional variation in population characteristics and access to healthcare indicated that the observed regional differences in concentration-mortality relationships, specifically the flattening of the concentration-mortality relationship over the 5 to 9 μg/m3 range, was not likely related to variation in the makeup of the cohort or its access to healthcare, lending support to the potential role of spatially varying air pollutant mixtures not sufficiently characterized by PM2.5 mass concentrations., Conclusions: In several large, national Canadian cohorts, including a cohort of 7.1 million unique census respondents, associations were observed between exposure to PM2.5 with nonaccidental mortality and several specific causes of death. Associations with nonaccidental mortality were observed using the eSCHIF methodology at concentrations as low as 2.5 μg/m3 , and there was no clear evidence in the observed data of a lower threshold, below which PM2.5 was not associated with nonaccidental mortality., (© 2022 Health Effects Institute. All rights reserved.)- Published
- 2022
47. Mortality-Air Pollution Associations in Low-Exposure Environments (MAPLE): Phase 1.
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Brauer M, Brook JR, Christidis T, Chu Y, Crouse DL, Erickson A, Hystad P, Li C, Martin RV, Meng J, Pappin AJ, Pinault LL, Tjepkema M, van Donkelaar A, Weichenthal S, and Burnett RT
- Subjects
- Adult, Aged, Aged, 80 and over, Canada epidemiology, Female, Humans, Male, Middle Aged, Risk Factors, United States epidemiology, Air Pollutants analysis, Air Pollution analysis, Environmental Exposure analysis, Mortality trends, Particulate Matter analysis
- Abstract
Introduction: Fine particulate matter (particulate matter ≤2.5 μm in aerodynamic diameter, or PM
2.5 ) is associated with mortality, but the lower range of relevant concentrations is unknown. Novel satellite-derived estimates of outdoor PM2.5 concentrations were applied to several large population-based cohorts, and the shape of the relationship with nonaccidental mortality was characterized, with emphasis on the low concentrations (<12 μg/m3 ) observed throughout Canada., Methods: Annual satellite-derived estimates of outdoor PM2.5 concentrations were developed at 1-km2 spatial resolution across Canada for 2000-2016 and backcasted to 1981 using remote sensing, chemical transport models, and ground monitoring data. Targeted ground-based measurements were conducted to measure the relationship between columnar aerosol optical depth (AOD) and ground-level PM2.5 . Both existing and targeted ground-based measurements were analyzed to develop improved exposure data sets for subsequent epidemiological analyses., Residential histories derived from annual tax records were used to estimate PM2.5 exposures for subjects whose ages ranged from 25 to 90 years. About 8.5 million were from three Canadian Census Health and Environment Cohort (CanCHEC) analytic files and another 540,900 were Canadian Community Health Survey (CCHS) participants. Mortality was linked through the year 2016. Hazard ratios (HR) were estimated with Cox Proportional Hazard models using a 3-year moving average exposure with a 1-year lag, with the year of follow-up as the time axis. All models were stratified by 5-year age groups, sex, and immigrant status. Covariates were based on directed acyclical graphs (DAG), and included contextual variables (airshed, community size, neighborhood dependence, neighborhood deprivation, ethnic concentration, neighborhood instability, and urban form). A second model was examined including the DAG-based covariates as well as all subject-level risk factors (income, education, marital status, indigenous identity, employment status, occupational class, and visible minority status) available in each cohort. Additional subject-level behavioral covariates (fruit and vegetable consumption, leisure exercise frequency, alcohol consumption, smoking, and body mass index [BMI]) were included in the CCHS analysis., Sensitivity analyses evaluated adjustment for covariates and gaseous copollutants (nitrogen dioxide [NO2 ] and ozone [O3 ]), as well as exposure time windows and spatial scales. Estimates were evaluated across strata of age, sex, and immigrant status. The shape of the PM2.5 -mortality association was examined by first fitting restricted cubic splines (RCS) with a large number of knots and then fitting the shape-constrained health impact function (SCHIF) to the RCS predictions and their standard errors (SE). This method provides graphical results indicating the RCS predictions, as a nonparametric means of characterizing the concentration-response relationship in detail and the resulting mean SCHIF and accompanying uncertainty as a parametric summary., Sensitivity analyses were conducted in the CCHS cohort to evaluate the potential influence of unmeasured covariates on air pollution risk estimates. Specifically, survival models with all available risk factors were fit and compared with models that omitted covariates not available in the CanCHEC cohorts. In addition, the PM2.5 risk estimate in the CanCHEC cohort was indirectly adjusted for multiple individual-level risk factors by estimating the association between PM2.5 and these covariates within the CCHS., Results: Satellite-derived PM2.5 estimates were low and highly correlated with ground monitors. HR estimates (per 10-μg/m3 increase in PM2.5 ) were similar for the 1991 (1.041, 95% confidence interval [CI]: 1.016-1.066) and 1996 (1.041, 1.024-1.059) CanCHEC cohorts with a larger estimate observed for the 2001 cohort (1.084, 1.060-1.108). The pooled cohort HR estimate was 1.053 (1.041-1.065). In the CCHS an analogous model indicated a HR of 1.13 (95% CI: 1.06-1.21), which was reduced slightly with the addition of behavioral covariates (1.11, 1.04-1.18). In each of the CanCHEC cohorts, the RCS increased rapidly over lower concentrations, slightly declining between the 25th and 75th percentiles and then increasing beyond the 75th percentile. The steepness of the increase in the RCS over lower concentrations diminished as the cohort start date increased. The SCHIFs displayed a supralinear association in each of the three CanCHEC cohorts and in the CCHS cohort., In sensitivity analyses conducted with the 2001 CanCHEC, longer moving averages (1, 3, and 8 years) and smaller spatial scales (1 km2 vs. 10 km2 ) of exposure assignment resulted in larger associations between PM2.5 and mortality. In both the CCHS and CanCHEC analyses, the relationship between nonaccidental mortality and PM2.5 was attenuated when O3 or a weighted measure of oxidant gases was included in models. In the CCHS analysis, but not in CanCHEC, PM2.5 HRs were also attenuated by the inclusion of NO2 . Application of the indirect adjustment and comparisons within the CCHS analysis suggests that missing data on behavioral risk factors for mortality had little impact on the magnitude of PM2.5 -mortality associations. While immigrants displayed improved overall survival compared with those born in Canada, their sensitivity to PM2.5 was similar to or larger than that for nonimmigrants, with differences between immigrants and nonimmigrants decreasing in the more recent cohorts., Conclusions: In several large population-based cohorts exposed to low levels of air pollution, consistent associations were observed between PM2.5 and nonaccidental mortality for concentrations as low as 5 μg/m3 . This relationship was supralinear with no apparent threshold or sublinear association., (© 2020 Health Effects Institute. All rights reserved.)- Published
- 2019
48. Associations between daily cause-specific mortality and concentrations of ground-level ozone in Montreal, Quebec.
- Author
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Goldberg MS, Burnett RT, Brook J, Bailar JC 3rd, Valois MF, and Vincent R
- Subjects
- Age Factors, Air Pollutants adverse effects, Air Pollutants analysis, Analysis of Variance, Cardiovascular Diseases etiology, Diabetes Mellitus etiology, Digestive System Diseases etiology, Humans, Kidney Diseases etiology, Linear Models, Meteorological Concepts, Neoplasms etiology, Poisson Distribution, Quebec epidemiology, Regression Analysis, Respiration Disorders etiology, Risk Factors, Seasons, Accidents mortality, Cardiovascular Diseases mortality, Cause of Death, Diabetes Mellitus mortality, Digestive System Diseases mortality, Kidney Diseases mortality, Neoplasms mortality, Ozone adverse effects, Ozone analysis, Respiration Disorders mortality
- Abstract
The authors investigated the association between daily variations in ozone and cause-specific mortality. Fixed-site air pollution monitors in Montreal, Quebec, provided daily mean levels of ozone, particles, and other gaseous pollutants. Information on the date and underlying cause of death was obtained for residents of Montreal who died in the city between 1984 and 1993. The authors regressed the logarithm of daily counts of cause-specific mortality on mean levels of ozone, after accounting for seasonal and subseasonal fluctuations in the mortality time series, non-Poisson dispersion, and weather variables. The effect of ozone on mortality was generally higher in the warm season and among persons aged 65 years or over. For an increase in the 3-day running mean concentration of ozone of 21.3 microg/m(3), the percentage of increase in daily deaths in the warm season was the following: nonaccidental deaths, 3.3% (95% confidence interval (CI): 1.7, 5.0); cancer, 3.9% (95% CI: 1.0, 6.91); cardiovascular diseases, 2.5% (95% CI: 0.2, 5.0); and respiratory diseases, 6.6% (95% CI: 1.8, 11.8). These results were independent of the effects of other pollutants and were consistent with a log-linear response function.
- Published
- 2001
- Full Text
- View/download PDF
49. Inhalation toxicology of urban ambient particulate matter: acute cardiovascular effects in rats.
- Author
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Vincent R, Kumarathasan P, Goegan P, Bjarnason SG, Guénette J, Bérubé D, Adamson IY, Desjardins S, Burnett RT, Miller FJ, and Battistini B
- Subjects
- Administration, Inhalation, Animals, Autoradiography, Blood Pressure drug effects, Cardiovascular System physiopathology, Catecholamines blood, Chromatography, High Pressure Liquid, Dose-Response Relationship, Drug, Electrocardiography, Endothelins blood, Heart Rate drug effects, Humans, Lung anatomy & histology, Nitric Oxide blood, Rats, Rats, Wistar, Tyrosine blood, Air Pollutants toxicity, Cardiovascular System drug effects, Urban Health
- Abstract
Wistar rats were exposed for 4 hours by nose-only inhalation to clean air, resuspended Ottawa ambient particles (EHC-93*, 48 mg/m3), the water-leached particles (EHC-93L, 49 mg/m3), diesel soot (5 mg/m3), or carbon black (5 mg/m3). Continuous data for physiologic endpoints (heart rate, blood pressure, body temperature, animal's activity) were captured by telemetry before and after exposure. Blood was sampled from jugular cannulas 1 to 3 days before exposure and at 2 and 24 hours after exposure, and by heart puncture on termination at 32 hours (histology group) or 48 hours (telemetry group) after exposure. Lung injury was assessed by 3H-thymidine autoradiography after the rats were killed. We measured endothelins (plasma ET-1, big ET-1, ET-2, ET-3) to assess the vasopressor components; nitric oxide (NO)-related metabolites (blood nitrate, nitrite, nitrosyl compounds, and plasma 3-nitrotyrosine) to assess the vasodilator components; and catecholamines (epinephrine, norepinephrine, L-DOPA, dopamine) and oxidative stressors (m- and o-tyrosine) for additional insight into possible stress components. Lung cell labeling was uniformly low in all treatment groups, which indicates an absence of acute lung injury. Inhalation of EHC-93 caused statistically significant elevations (P < 0.05) of blood pressure on day 2 after exposure, plasma ET-1 at 32 hours after exposure, and ET-3 at 2, 32, and 48 hours after exposure. In contrast, the modified EHC-93L particles, from which soluble components had been extracted, did not affect blood pressure. The EHC-93L particles caused early elevation (P < 0.05) of the plasma levels of ET-1, ET-2, and ET-3 at 2 hours after exposure, but the endothelins returned to basal levels 32 hours after exposure. Exposure to diesel soot, but not carbon black, caused an elevation (P < 0.05) of plasma ET-3 at 36 hours after exposure; blood pressure was not affected by diesel soot. Our results indicate that inhalation of the urban particles EHC-93 can affect blood levels of ET-1 and ET-3 and cause a vasopressor response in Wistar rats without causing acute lung injury. Furthermore, the potency of the particles to influence hemodynamic changes appears to be modified by removing polar organic compounds and soluble elements. Because the pathophysiologic significance of elevated endothelins has been clinically established in humans, our observations suggest a novel mechanism by which inhaled particles may cause cardiovascular effects. These findings in rats contribute to the weight of evidence in favor of a biologically plausible epidemiologic association between ambient particulate matter and cardiovascular morbidity and mortality in human populations.
- Published
- 2001
50. The association between daily mortality and ambient air particle pollution in Montreal, Quebec. 1. Nonaccidental mortality.
- Author
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Goldberg MS, Burnett RT, Bailar JC 3rd, Brook J, Bonvalot Y, Tamblyn R, Singh R, and Valois MF
- Subjects
- Aged, Epidemiological Monitoring, Humans, Quebec epidemiology, Air Pollutants analysis, Environmental Monitoring, Mortality, Sulfates analysis
- Abstract
This study was undertaken to determine whether variations in concentrations of particles in the ambient air of Montreal, Quebec, during the period 1984 to 1993, were associated with daily variations in nonaccidental mortality. Fixed-site air pollution monitors in Montreal provided daily mean levels of various measures of particulates and gaseous pollutants. Total sulfates were also measured daily (1986-1993) at a monitoring station 150 km southeast of the city (Sutton, Quebec). We estimated associations for PM(2.5), PM(10), total suspended particles, coefficient of haze (COH), extinction coefficient, and sulfates. We used coefficient of haze, extinction coefficient, and Sutton sulfates to predict fine particles and sulfates for days that were missing. To estimate the associations between nonaccidental mortality and ambient air particles, we regressed the logarithm of daily counts of nonaccidental mortality on the daily mean levels for the above measures of particulates, after accounting for seasonal and subseasonal fluctuations in the mortality time series, non-Poisson dispersion, weather variables, and gaseous pollutants. There were 140,939 residents of Montreal who died during the study period. We found evidence of associations between daily nonaccidental deaths and most measures of particulate air pollution. For example, the mean percentage increase (MPC) for an increase of total suspended particles of 28.57 microg/m(3) (interquartile range, IQ), evaluated at lag 0 days, was 1.86% (95% confidence interval (CI): 0.00-3.76%), and for an increase of coefficient of haze (IQ=18.5 COH units per 327.8 linear m) the MPC was 1.44% (95% CI: 0.75-2.14%). These results are similar to findings from other studies (the mean percentage increase in nonaccidental deaths for a 100 microg/m(3) increase in daily total suspended particles was 6.7%). We also found increases for fine particles and for inhalable particles, but the confidence intervals included unity. All measures of sulfates showed increased daily mortality; e.g., the MPC for sulfates from fine particles (IQ=3.51 microg/m(3)) was 1.86% (95% CI: 0.40-3.35%). We generally found higher excesses in daily mortality for persons 65 years of age and for exposures averaged across lags 0, 1, and 2 days. The slope of the association between daily mortality and ambient air particles in Montreal, which has lower levels of pollution than most major urban centers, is similar to that reported in most other industrialized cities. This study therefore provides further evidence that the association is linear and that any threshold effect, should it exist, would be found at lower levels of air pollution than those found in Montreal., (Copyright 2001 Academic Press.)
- Published
- 2001
- Full Text
- View/download PDF
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