16 results on '"Colson, K Ellicott"'
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2. Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010
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Vos, Theo, Flaxman, Abraham D, Naghavi, Mohsen, Lozano, Rafael, Michaud, Catherine, Ezzati, Majid, Shibuya, Kenji, Salomon, Joshua A, Abdalla, Safa, Aboyans, Victor, Abraham, Jerry, Ackerman, Ilana, Aggarwal, Rakesh, Ahn, Stephanie Y, Ali, Mohammed K, AlMazroa, Mohammad A, Alvarado, Miriam, Anderson, H Ross, Anderson, Laurie M, Andrews, Kathryn G, Atkinson, Charles, Baddour, Larry M, Bahalim, Adil N, Barker-Collo, Suzanne, Barrero, Lope H, Bartels, David H, Basáñez, Maria-Gloria, Baxter, Amanda, Bell, Michelle L, Benjamin, Emelia J, Bennett, Derrick, Bernabé, Eduardo, Bhalla, Kavi, Bhandari, Bishal, Bikbov, Boris, Abdulhak, Aref Bin, Birbeck, Gretchen, Black, James A, Blencowe, Hannah, Blore, Jed D, Blyth, Fiona, Bolliger, Ian, Bonaventure, Audrey, Boufous, Soufiane, Bourne, Rupert, Boussinesq, Michel, Braithwaite, Tasanee, Brayne, Carol, Bridgett, Lisa, Brooker, Simon, Brooks, Peter, Brugha, Traolach S, Bryan-Hancock, Claire, Bucello, Chiara, Buchbinder, Rachelle, Buckle, Geoffrey, Budke, Christine M, Burch, Michael, Burney, Peter, Burstein, Roy, Calabria, Bianca, Campbell, Benjamin, Canter, Charles E, Carabin, Hélène, Carapetis, Jonathan, Carmona, Loreto, Cella, Claudia, Charlson, Fiona, Chen, Honglei, Cheng, Andrew Tai-Ann, Chou, David, Chugh, Sumeet S, Coffeng, Luc E, Colan, Steven D, Colquhoun, Samantha, Colson, K Ellicott, Condon, John, Connor, Myles D, Cooper, Leslie T, Corriere, Matthew, Cortinovis, Monica, de Vaccaro, Karen Courville, Couser, William, Cowie, Benjamin C, Criqui, Michael H, Cross, Marita, Dabhadkar, Kaustubh C, Dahiya, Manu, Dahodwala, Nabila, Damsere-Derry, James, Danaei, Goodarz, Davis, Adrian, De Leo, Diego, Degenhardt, Louisa, Dellavalle, Robert, Delossantos, Allyne, Denenberg, Julie, Derrett, Sarah, Des Jarlais, Don C, Dharmaratne, Samath D, Dherani, Mukesh, Diaz-Torne, Cesar, Dolk, Helen, Dorsey, E Ray, Driscoll, Tim, Duber, Herbert, Ebel, Beth, Edmond, Karen, Elbaz, Alexis, Ali, Suad Eltahir, Erskine, Holly, Erwin, Patricia J, Espindola, Patricia, Ewoigbokhan, Stalin E, Farzadfar, Farshad, Feigin, Valery, Felson, David T, Ferrari, Alize, Ferri, Cleusa P, Fèvre, Eric M, Finucane, Mariel M, Flaxman, Seth, Flood, Louise, Foreman, Kyle, Forouzanfar, Mohammad H, Fowkes, Francis Gerry R, Franklin, Richard, Fransen, Marlene, Freeman, Michael K, Gabbe, Belinda J, Gabriel, Sherine E, Gakidou, Emmanuela, Ganatra, Hammad A, Garcia, Bianca, Gaspari, Flavio, Gillum, Richard F, Gmel, Gerhard, Gosselin, Richard, Grainger, Rebecca, Groeger, Justina, Guillemin, Francis, Gunnell, David, Gupta, Ramyani, Haagsma, Juanita, Hagan, Holly, Halasa, Yara A, Hall, Wayne, Haring, Diana, Haro, Josep Maria, Harrison, James E, Havmoeller, Rasmus, Hay, Roderick J, Higashi, Hideki, Hill, Catherine, Hoen, Bruno, Hoffman, Howard, Hotez, Peter J, Hoy, Damian, Huang, John J, Ibeanusi, Sydney E, Jacobsen, Kathryn H, James, Spencer L, Jarvis, Deborah, Jasrasaria, Rashmi, Jayaraman, Sudha, Johns, Nicole, Jonas, Jost B, Karthikeyan, Ganesan, Kassebaum, Nicholas, Kawakami, Norito, Keren, Andre, Khoo, Jon-Paul, King, Charles H, Knowlton, Lisa Marie, Kobusingye, Olive, Koranteng, Adofo, Krishnamurthi, Rita, Lalloo, Ratilal, Laslett, Laura L, Lathlean, Tim, Leasher, Janet L, Lee, Yong Yi, Leigh, James, Lim, Stephen S, Limb, Elizabeth, Lin, John Kent, Lipnick, Michael, Lipshultz, Steven E, Liu, Wei, Loane, Maria, Ohno, Summer Lockett, Lyons, Ronan, Ma, Jixiang, Mabweijano, Jacqueline, MacIntyre, Michael F, Malekzadeh, Reza, Mallinger, Leslie, Manivannan, Sivabalan, Marcenes, Wagner, March, Lyn, Margolis, David J, Marks, Guy B, Marks, Robin, Matsumori, Akira, Matzopoulos, Richard, Mayosi, Bongani M, McAnulty, John H, McDermott, Mary M, McGill, Neil, McGrath, John, Medina-Mora, Maria Elena, Meltzer, Michele, Memish, Ziad A, Mensah, George A, Merriman, Tony R, Meyer, Ana-Claire, Miglioli, Valeria, Miller, Matthew, Miller, Ted R, Mitchell, Philip B, Mocumbi, Ana Olga, Moffitt, Terrie E, Mokdad, Ali A, Monasta, Lorenzo, Montico, Marcella, Moradi-Lakeh, Maziar, Moran, Andrew, Morawska, Lidia, Mori, Rintaro, Murdoch, Michele E, Mwaniki, Michael K, Naidoo, Kovin, Nair, M Nathan, Naldi, Luigi, Narayan, KM Venkat, Nelson, Paul K, Nelson, Robert G, Nevitt, Michael C, Newton, Charles R, Nolte, Sandra, Norman, Paul, Norman, Rosana, O'Donnell, Martin, O'Hanlon, Simon, Olives, Casey, Omer, Saad B, Ortblad, Katrina, Osborne, Richard, Ozgediz, Doruk, Page, Andrew, Pahari, Bishnu, Pandian, Jeyaraj Durai, Rivero, Andrea Panozo, Patten, Scott B, Pearce, Neil, Padilla, Rogelio Perez, Perez-Ruiz, Fernando, Perico, Norberto, Pesudovs, Konrad, Phillips, David, Phillips, Michael R, Pierce, Kelsey, Pion, Sébastien, Polanczyk, Guilherme V, Polinder, Suzanne, Pope, C Arden, III, Popova, Svetlana, Porrini, Esteban, Pourmalek, Farshad, Prince, Martin, Pullan, Rachel L, Ramaiah, Kapa D, Ranganathan, Dharani, Razavi, Homie, Regan, Mathilda, Rehm, Jürgen T, Rein, David B, Remuzzi, Guiseppe, Richardson, Kathryn, Rivara, Frederick P, Roberts, Thomas, Robinson, Carolyn, De Leòn, Felipe Rodriguez, Ronfani, Luca, Room, Robin, Rosenfeld, Lisa C, Rushton, Lesley, Sacco, Ralph L, Saha, Sukanta, Sampson, Uchechukwu, Sanchez-Riera, Lidia, Sanman, Ella, Schwebel, David C, Scott, James Graham, Segui-Gomez, Maria, Shahraz, Saeid, Shepard, Donald S, Shin, Hwashin, Shivakoti, Rupak, Silberberg, Donald, Singh, David, Singh, Gitanjali M, Singh, Jasvinder A, Singleton, Jessica, Sleet, David A, Sliwa, Karen, Smith, Emma, Smith, Jennifer L, Stapelberg, Nicolas JC, Steer, Andrew, Steiner, Timothy, Stolk, Wilma A, Stovner, Lars Jacob, Sudfeld, Christopher, Syed, Sana, Tamburlini, Giorgio, Tavakkoli, Mohammad, Taylor, Hugh R, Taylor, Jennifer A, Taylor, William J, Thomas, Bernadette, Thomson, W Murray, Thurston, George D, Tleyjeh, Imad M, Tonelli, Marcello, Towbin, Jeffrey A, Truelsen, Thomas, Tsilimbaris, Miltiadis K, Ubeda, Clotilde, Undurraga, Eduardo A, van der Werf, Marieke J, van Os, Jim, Vavilala, Monica S, Venketasubramanian, N, Wang, Mengru, Wang, Wenzhi, Watt, Kerrianne, Weatherall, David J, Weinstock, Martin A, Weintraub, Robert, Weisskopf, Marc G, Weissman, Myrna M, White, Richard A, Whiteford, Harvey, Wiersma, Steven T, Wilkinson, James D, Williams, Hywel C, Williams, Sean RM, Witt, Emma, Wolfe, Frederick, Woolf, Anthony D, Wulf, Sarah, Yeh, Pon-Hsiu, Zaidi, Anita KM, Zheng, Zhi-Jie, Zonies, David, Lopez, Alan D, and Murray, Christopher JL
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- 2012
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3. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010
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Lozano, Rafael, Naghavi, Mohsen, Foreman, Kyle, Lim, Stephen, Shibuya, Kenji, Aboyans, Victor, Abraham, Jerry, Adair, Timothy, Aggarwal, Rakesh, Ahn, Stephanie Y, AlMazroa, Mohammad A, Alvarado, Miriam, Anderson, H Ross, Anderson, Laurie M, Andrews, Kathryn G, Atkinson, Charles, Baddour, Larry M, Barker-Collo, Suzanne, Bartels, David H, Bell, Michelle L, Benjamin, Emelia J, Bennett, Derrick, Bhalla, Kavi, Bikbov, Boris, Abdulhak, Aref Bin, Birbeck, Gretchen, Blyth, Fiona, Bolliger, Ian, Boufous, Soufiane, Bucello, Chiara, Burch, Michael, Burney, Peter, Carapetis, Jonathan, Chen, Honglei, Chou, David, Chugh, Sumeet S, Coffeng, Luc E, Colan, Steven D, Colquhoun, Samantha, Colson, K Ellicott, Condon, John, Connor, Myles D, Cooper, Leslie T, Corriere, Matthew, Cortinovis, Monica, de Vaccaro, Karen Courville, Couser, William, Cowie, Benjamin C, Criqui, Michael H, Cross, Marita, Dabhadkar, Kaustubh C, Dahodwala, Nabila, De Leo, Diego, Degenhardt, Louisa, Delossantos, Allyne, Denenberg, Julie, Des Jarlais, Don C, Dharmaratne, Samath D, Dorsey, E Ray, Driscoll, Tim, Duber, Herbert, Ebel, Beth, Erwin, Patricia J, Espindola, Patricia, Ezzati, Majid, Feigin, Valery, Flaxman, Abraham D, Forouzanfar, Mohammad H, Fowkes, Francis Gerry R, Franklin, Richard, Fransen, Marlene, Freeman, Michael K, Gabriel, Sherine E, Gakidou, Emmanuela, Gaspari, Flavio, Gillum, Richard F, Gonzalez-Medina, Diego, Halasa, Yara A, Haring, Diana, Harrison, James E, Havmoeller, Rasmus, Hay, Roderick J, Hoen, Bruno, Hotez, Peter J, Hoy, Damian, Jacobsen, Kathryn H, James, Spencer L, Jasrasaria, Rashmi, Jayaraman, Sudha, Johns, Nicole, Karthikeyan, Ganesan, Kassebaum, Nicholas, Keren, Andre, Khoo, Jon-Paul, Knowlton, Lisa Marie, Kobusingye, Olive, Koranteng, Adofo, Krishnamurthi, Rita, Lipnick, Michael, Lipshultz, Steven E, Ohno, Summer Lockett, Mabweijano, Jacqueline, MacIntyre, Michael F, Mallinger, Leslie, March, Lyn, Marks, Guy B, Marks, Robin, Matsumori, Akira, Matzopoulos, Richard, Mayosi, Bongani M, McAnulty, John H, McDermott, Mary M, McGrath, John, Memish, Ziad A, Mensah, George A, Merriman, Tony R, Michaud, Catherine, Miller, Matthew, Miller, Ted R, Mock, Charles, Mocumbi, Ana Olga, Mokdad, Ali A, Moran, Andrew, Mulholland, Kim, Nair, M Nathan, Naldi, Luigi, Narayan, K M Venkat, Nasseri, Kiumarss, Norman, Paul, O'Donnell, Martin, Omer, Saad B, Ortblad, Katrina, Osborne, Richard, Ozgediz, Doruk, Pahari, Bishnu, Pandian, Jeyaraj Durai, Rivero, Andrea Panozo, Padilla, Rogelio Perez, Perez-Ruiz, Fernando, Perico, Norberto, Phillips, David, Pierce, Kelsey, Pope, C Arden, III, Porrini, Esteban, Pourmalek, Farshad, Raju, Murugesan, Ranganathan, Dharani, Rehm, Jürgen T, Rein, David B, Remuzzi, Guiseppe, Rivara, Frederick P, Roberts, Thomas, De León, Felipe Rodriguez, Rosenfeld, Lisa C, Rushton, Lesley, Sacco, Ralph L, Salomon, Joshua A, Sampson, Uchechukwu, Sanman, Ella, Schwebel, David C, Segui-Gomez, Maria, Shepard, Donald S, Singh, David, Singleton, Jessica, Sliwa, Karen, Smith, Emma, Steer, Andrew, Taylor, Jennifer A, Thomas, Bernadette, Tleyjeh, Imad M, Towbin, Jeffrey A, Truelsen, Thomas, Undurraga, Eduardo A, Venketasubramanian, N, Vijayakumar, Lakshmi, Vos, Theo, Wagner, Gregory R, Wang, Mengru, Wang, Wenzhi, Watt, Kerrianne, Weinstock, Martin A, Weintraub, Robert, Wilkinson, James D, Woolf, Anthony D, Wulf, Sarah, Yeh, Pon-Hsiu, Yip, Paul, Zabetian, Azadeh, Zheng, Zhi-Jie, Lopez, Alan D, and Murray, Christopher JL
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- 2012
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4. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010
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Murray, Christopher J L, Vos, Theo, Lozano, Rafael, Naghavi, Mohsen, Flaxman, Abraham D, Michaud, Catherine, Ezzati, Majid, Shibuya, Kenji, Salomon, Joshua A, Abdalla, Safa, Aboyans, Victor, Abraham, Jerry, Ackerman, Ilana, Aggarwal, Rakesh, Ahn, Stephanie Y, Ali, Mohammed K, AlMazroa, Mohammad A, Alvarado, Miriam, Anderson, H Ross, Anderson, Laurie M, Andrews, Kathryn G, Atkinson, Charles, Baddour, Larry M, Bahalim, Adil N, Barker-Collo, Suzanne, Barrero, Lope H, Bartels, David H, Basáñez, Maria-Gloria, Baxter, Amanda, Bell, Michelle L, Benjamin, Emelia J, Bennett, Derrick, Bernabé, Eduardo, Bhalla, Kavi, Bhandari, Bishal, Bikbov, Boris, Abdulhak, Aref Bin, Birbeck, Gretchen, Black, James A, Blencowe, Hannah, Blore, Jed D, Blyth, Fiona, Bolliger, Ian, Bonaventure, Audrey, Boufous, Soufiane, Bourne, Rupert, Boussinesq, Michel, Braithwaite, Tasanee, Brayne, Carol, Bridgett, Lisa, Brooker, Simon, Brooks, Peter, Brugha, Traolach S, Bryan-Hancock, Claire, Bucello, Chiara, Buchbinder, Rachelle, Buckle, Geoffrey, Budke, Christine M, Burch, Michael, Burney, Peter, Burstein, Roy, Calabria, Bianca, Campbell, Benjamin, Canter, Charles E, Carabin, Hélène, Carapetis, Jonathan, Carmona, Loreto, Cella, Claudia, Charlson, Fiona, Chen, Honglei, Cheng, Andrew Tai-Ann, Chou, David, Chugh, Sumeet S, Coffeng, Luc E, Colan, Steven D, Colquhoun, Samantha, Colson, K Ellicott, Condon, John, Connor, Myles D, Cooper, Leslie T, Corriere, Matthew, Cortinovis, Monica, de Vaccaro, Karen Courville, Couser, William, Cowie, Benjamin C, Criqui, Michael H, Cross, Marita, Dabhadkar, Kaustubh C, Dahiya, Manu, Dahodwala, Nabila, Damsere-Derry, James, Danaei, Goodarz, Davis, Adrian, Leo, Diego De, Degenhardt, Louisa, Dellavalle, Robert, Delossantos, Allyne, Denenberg, Julie, Derrett, Sarah, Des Jarlais, Don C, Dharmaratne, Samath D, Dherani, Mukesh, Diaz-Torne, Cesar, Dolk, Helen, Dorsey, E Ray, Driscoll, Tim, Duber, Herbert, Ebel, Beth, Edmond, Karen, Elbaz, Alexis, Ali, Suad Eltahir, Erskine, Holly, Erwin, Patricia J, Espindola, Patricia, Ewoigbokhan, Stalin E, Farzadfar, Farshad, Feigin, Valery, Felson, David T, Ferrari, Alize, Ferri, Cleusa P, Fèvre, Eric M, Finucane, Mariel M, Flaxman, Seth, Flood, Louise, Foreman, Kyle, Forouzanfar, Mohammad H, Fowkes, Francis Gerry R, Fransen, Marlene, Freeman, Michael K, Gabbe, Belinda J, Gabriel, Sherine E, Gakidou, Emmanuela, Ganatra, Hammad A, Garcia, Bianca, Gaspari, Flavio, Gillum, Richard F, Gmel, Gerhard, Gonzalez-Medina, Diego, Gosselin, Richard, Grainger, Rebecca, Grant, Bridget, Groeger, Justina, Guillemin, Francis, Gunnell, David, Gupta, Ramyani, Haagsma, Juanita, Hagan, Holly, Halasa, Yara A, Hall, Wayne, Haring, Diana, Haro, Josep Maria, Harrison, James E, Havmoeller, Rasmus, Hay, Roderick J, Higashi, Hideki, Hill, Catherine, Hoen, Bruno, Hoffman, Howard, Hotez, Peter J, Hoy, Damian, Huang, John J, Ibeanusi, Sydney E, Jacobsen, Kathryn H, James, Spencer L, Jarvis, Deborah, Jasrasaria, Rashmi, Jayaraman, Sudha, Johns, Nicole, Jonas, Jost B, Karthikeyan, Ganesan, Kassebaum, Nicholas, Kawakami, Norito, Keren, Andre, Khoo, Jon-Paul, King, Charles H, Knowlton, Lisa Marie, Kobusingye, Olive, Koranteng, Adofo, Krishnamurthi, Rita, Laden, Francine, Lalloo, Ratilal, Laslett, Laura L, Lathlean, Tim, Leasher, Janet L, Lee, Yong Yi, Leigh, James, Levinson, Daphna, Lim, Stephen S, Limb, Elizabeth, Lin, John Kent, Lipnick, Michael, Lipshultz, Steven E, Liu, Wei, Loane, Maria, Ohno, Summer Lockett, Lyons, Ronan, Mabweijano, Jacqueline, MacIntyre, Michael F, Malekzadeh, Reza, Mallinger, Leslie, Manivannan, Sivabalan, Marcenes, Wagner, March, Lyn, Margolis, David J, Marks, Guy B, Marks, Robin, Matsumori, Akira, Matzopoulos, Richard, Mayosi, Bongani M, McAnulty, John H, McDermott, Mary M, McGill, Neil, McGrath, John, Medina-Mora, Maria Elena, Meltzer, Michele, Memish, Ziad A, Mensah, George A, Merriman, Tony R, Meyer, Ana-Claire, Miglioli, Valeria, Miller, Matthew, Miller, Ted R, Mitchell, Philip B, Mock, Charles, Mocumbi, Ana Olga, Moffitt, Terrie E, Mokdad, Ali A, Monasta, Lorenzo, Montico, Marcella, Moradi-Lakeh, Maziar, Moran, Andrew, Morawska, Lidia, Mori, Rintaro, Murdoch, Michele E, Mwaniki, Michael K, Naidoo, Kovin, Nair, M Nathan, Naldi, Luigi, Narayan, K M Venkat, Nelson, Paul K, Nelson, Robert G, Nevitt, Michael C, Newton, Charles R, Nolte, Sandra, Norman, Paul, Norman, Rosana, O'Donnell, Martin, O'Hanlon, Simon, Olives, Casey, Omer, Saad B, Ortblad, Katrina, Osborne, Richard, Ozgediz, Doruk, Page, Andrew, Pahari, Bishnu, Pandian, Jeyaraj Durai, Rivero, Andrea Panozo, Patten, Scott B, Pearce, Neil, Padilla, Rogelio Perez, Perez-Ruiz, Fernando, Perico, Norberto, Pesudovs, Konrad, Phillips, David, Phillips, Michael R, Pierce, Kelsey, Pion, Sébastien, Polanczyk, Guilherme V, Polinder, Suzanne, Pope, C Arden, III, Popova, Svetlana, Porrini, Esteban, Pourmalek, Farshad, Prince, Martin, Pullan, Rachel L, Ramaiah, Kapa D, Ranganathan, Dharani, Razavi, Homie, Regan, Mathilda, Rehm, Jürgen T, Rein, David B, Remuzzi, Guiseppe, Richardson, Kathryn, Rivara, Frederick P, Roberts, Thomas, Robinson, Carolyn, De Leòn, Felipe Rodriguez, Ronfani, Luca, Room, Robin, Rosenfeld, Lisa C, Rushton, Lesley, Sacco, Ralph L, Saha, Sukanta, Sampson, Uchechukwu, Sanchez-Riera, Lidia, Sanman, Ella, Schwebel, David C, Scott, James Graham, Segui-Gomez, Maria, Shahraz, Saeid, Shepard, Donald S, Shin, Hwashin, Shivakoti, Rupak, Silberberg, Donald, Singh, David, Singh, Gitanjali M, Singh, Jasvinder A, Singleton, Jessica, Sleet, David A, Sliwa, Karen, Smith, Emma, Smith, Jennifer L, Stapelberg, Nicolas JC, Steer, Andrew, Steiner, Timothy, Stolk, Wilma A, Stovner, Lars Jacob, Sudfeld, Christopher, Syed, Sana, Tamburlini, Giorgio, Tavakkoli, Mohammad, Taylor, Hugh R, Taylor, Jennifer A, Taylor, William J, Thomas, Bernadette, Thomson, W Murray, Thurston, George D, Tleyjeh, Imad M, Tonelli, Marcello, Towbin, Jeffrey A, Truelsen, Thomas, Tsilimbaris, Miltiadis K, Ubeda, Clotilde, Undurraga, Eduardo A, van der Werf, Marieke J, van Os, Jim, Vavilala, Monica S, Venketasubramanian, N, Wang, Mengru, Wang, Wenzhi, Watt, Kerrianne, Weatherall, David J, Weinstock, Martin A, Weintraub, Robert, Weisskopf, Marc G, Weissman, Myrna M, White, Richard A, Whiteford, Harvey, Wiebe, Natasha, Wiersma, Steven T, Wilkinson, James D, Williams, Hywel C, Williams, Sean RM, Witt, Emma, Wolfe, Frederick, Woolf, Anthony D, Wulf, Sarah, Yeh, Pon-Hsiu, Zaidi, Anita KM, Zheng, Zhi-Jie, Zonies, David, and Lopez, Alan D
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- 2012
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5. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010
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Lim, Stephen S, Vos, Theo, Flaxman, Abraham D, Danaei, Goodarz, Shibuya, Kenji, Adair-Rohani, Heather, AlMazroa, Mohammad A, Amann, Markus, Anderson, H Ross, Andrews, Kathryn G, Aryee, Martin, Atkinson, Charles, Bacchus, Loraine J, Bahalim, Adil N, Balakrishnan, Kalpana, Balmes, John, Barker-Collo, Suzanne, Baxter, Amanda, Bell, Michelle L, Blore, Jed D, Blyth, Fiona, Bonner, Carissa, Borges, Guilherme, Bourne, Rupert, Boussinesq, Michel, Brauer, Michael, Brooks, Peter, Bruce, Nigel G, Brunekreef, Bert, Bryan-Hancock, Claire, Bucello, Chiara, Buchbinder, Rachelle, Bull, Fiona, Burnett, Richard T, Byers, Tim E, Calabria, Bianca, Carapetis, Jonathan, Carnahan, Emily, Chafe, Zoe, Charlson, Fiona, Chen, Honglei, Chen, Jian Shen, Cheng, Andrew Tai-Ann, Child, Jennifer Christine, Cohen, Aaron, Colson, K Ellicott, Cowie, Benjamin C, Darby, Sarah, Darling, Susan, Davis, Adrian, Degenhardt, Louisa, Dentener, Frank, Des Jarlais, Don C, Devries, Karen, Dherani, Mukesh, Ding, Eric L, Dorsey, E Ray, Driscoll, Tim, Edmond, Karen, Ali, Suad Eltahir, Engell, Rebecca E, Erwin, Patricia J, Fahimi, Saman, Falder, Gail, Farzadfar, Farshad, Ferrari, Alize, Finucane, Mariel M, Flaxman, Seth, Fowkes, Francis Gerry R, Freedman, Greg, Freeman, Michael K, Gakidou, Emmanuela, Ghosh, Santu, Giovannucci, Edward, Gmel, Gerhard, Graham, Kathryn, Grainger, Rebecca, Grant, Bridget, Gunnell, David, Gutierrez, Hialy R, Hall, Wayne, Hoek, Hans W, Hogan, Anthony, Hosgood, H Dean, III, Hoy, Damian, Hu, Howard, Hubbell, Bryan J, Hutchings, Sally J, Ibeanusi, Sydney E, Jacklyn, Gemma L, Jasrasaria, Rashmi, Jonas, Jost B, Kan, Haidong, Kanis, John A, Kassebaum, Nicholas, Kawakami, Norito, Khang, Young-Ho, Khatibzadeh, Shahab, Khoo, Jon-Paul, Kok, Cindy, Laden, Francine, Lalloo, Ratilal, Lan, Qing, Lathlean, Tim, Leasher, Janet L, Leigh, James, Li, Yang, Lin, John Kent, Lipshultz, Steven E, London, Stephanie, Lozano, Rafael, Lu, Yuan, Mak, Joelle, Malekzadeh, Reza, Mallinger, Leslie, Marcenes, Wagner, March, Lyn, Marks, Robin, Martin, Randall, McGale, Paul, McGrath, John, Mehta, Sumi, Memish, Ziad A, Mensah, George A, Merriman, Tony R, Micha, Renata, Michaud, Catherine, Mishra, Vinod, Hanafiah, Khayriyyah Mohd, Mokdad, Ali A, Morawska, Lidia, Mozaffarian, Dariush, Murphy, Tasha, Naghavi, Mohsen, Neal, Bruce, Nelson, Paul K, Nolla, Joan Miquel, Norman, Rosana, Olives, Casey, Omer, Saad B, Orchard, Jessica, Osborne, Richard, Ostro, Bart, Page, Andrew, Pandey, Kiran D, Parry, Charles DH, Passmore, Erin, Patra, Jayadeep, Pearce, Neil, Pelizzari, Pamela M, Petzold, Max, Phillips, Michael R, Pope, Dan, Pope, C Arden, III, Powles, John, Rao, Mayuree, Razavi, Homie, Rehfuess, Eva A, Rehm, Jürgen T, Ritz, Beate, Rivara, Frederick P, Roberts, Thomas, Robinson, Carolyn, Rodriguez-Portales, Jose A, Romieu, Isabelle, Room, Robin, Rosenfeld, Lisa C, Roy, Ananya, Rushton, Lesley, Salomon, Joshua A, Sampson, Uchechukwu, Sanchez-Riera, Lidia, Sanman, Ella, Sapkota, Amir, Seedat, Soraya, Shi, Peilin, Shield, Kevin, Shivakoti, Rupak, Singh, Gitanjali M, Sleet, David A, Smith, Emma, Smith, Kirk R, Stapelberg, Nicolas JC, Steenland, Kyle, Stöckl, Heidi, Stovner, Lars Jacob, Straif, Kurt, Straney, Lahn, Thurston, George D, Tran, Jimmy H, Van Dingenen, Rita, van Donkelaar, Aaron, Veerman, J Lennert, Vijayakumar, Lakshmi, Weintraub, Robert, Weissman, Myrna M, White, Richard A, Whiteford, Harvey, Wiersma, Steven T, Wilkinson, James D, Williams, Hywel C, Williams, Warwick, Wilson, Nicholas, Woolf, Anthony D, Yip, Paul, Zielinski, Jan M, Lopez, Alan D, Murray, Christopher JL, and Ezzati, Majid
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- 2012
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6. Assessing the Contribution of Malaria Vector Control and Other Maternal and Child Health Interventions in Reducing All-Cause Under-Five Mortality in Zambia, 1990-2010.
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Ng, Marie, Colson, K. Ellicott, Fullman, Nancy, Dwyer-Lindgren, Laura, Achoki, Tom, Schneider, Matthew T., Mulenga, Peter, Hangoma, Peter, Masiye, Felix, and Gakidou, Emmanuela
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- 2017
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7. Optimally combining propensity score subclasses.
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Rudolph, Kara E., Colson, K. Ellicott, Stuart, Elizabeth A., and Ahern, Jennifer
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ANXIETY , *MENTAL depression , *PROBABILITY theory , *RESEARCH funding - Abstract
Propensity score methods, such as subclassification, are a common approach to control for confounding when estimating causal effects in non-randomized studies. Propensity score subclassification groups individuals into subclasses based on their propensity score values. Effect estimates are obtained within each subclass and then combined by weighting by the proportion of observations in each subclass. Combining subclass-specific estimates by weighting by the inverse variance is a promising alternative approach; a similar strategy is used in meta-analysis for its efficiency. We use simulation to compare performance of each of the two methods while varying (i) the number of subclasses, (ii) extent of propensity score overlap between the treatment and control groups (i.e., positivity), (iii) incorporation of survey weighting, and (iv) presence of heterogeneous treatment effects across subclasses. Both methods perform well in the absence of positivity violations and with a constant treatment effect with weighting by the inverse variance performing slightly better. Weighting by the proportion in subclass performs better in the presence of heterogeneous treatment effects across subclasses. We apply these methods to an illustrative example estimating the effect of living in a disadvantaged neighborhood on risk of past-year anxiety and depressive disorders among U.S. urban adolescents. This example entails practical positivity violations but no evidence of treatment effect heterogeneity. In this case, weighting by the inverse variance when combining across propensity score subclasses results in more efficient estimates that ultimately change inference. Copyright © 2016 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
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- 2016
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8. Predicting the Population Health Impacts of Community Interventions: The Case of Alcohol Outlets and Binge Drinking.
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Ahern, Jennifer, Colson, K. Ellicott, Margerson-Zilko, Claire, Hubbard, Alan, and Galea, Sandro
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POPULATION health , *BINGE drinking , *FORECASTING , *LIQUOR stores , *PUBLIC health , *SOCIAL context , *PUBLIC health research , *PUBLIC health personnel , *BEHAVIOR modification , *CONFIDENCE intervals , *QUESTIONNAIRES , *REGRESSION analysis , *RESEARCH funding , *SHOPPING , *SOCIOECONOMIC factors , *TREATMENT effectiveness , *HEALTH & social status , *PREVENTION - Abstract
A substitution estimator can be used to predict how shifts in population exposures might change health. We illustrated this method by estimating how an upper limit on alcohol outlet density might alter binge drinking in the New York Social Environment Study (n = 4000), and provided statistical code and sample data. The largest differences in binge drinking were for an upper limit of 70 outlets per square mile; there was a -0.7% difference in binge drinking prevalence for New York City overall (95% confidence interval [CI] = -0.2%, -1.3%) and a -2.4% difference in binge drinking prevalence for the subset of communities the intervention modified(95%CI=-0.5%,-4.0%). A substitution estimator is a flexible tool for estimating population intervention parameters and improving the translation of public health research results to practitioners. [ABSTRACT FROM AUTHOR]
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- 2016
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9. Physician Perspectives on Palliative Care for Children With Neuroblastoma: An International Context.
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Balkin, Emily M., Thompson, Daria, Colson, K. Ellicott, Lam, Catherine G., and Matthay, Katherine K.
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- 2016
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10. Missed Opportunities for Measles, Mumps, and Rubella (MMR) Immunization in Mesoamerica: Potential Impact on Coverage and Days at Risk.
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Mokdad, Ali H., Gagnier, Marielle C., Colson, K. Ellicott, Dansereau, Emily, Zúñiga-Brenes, Paola, Ríos-Zertuche, Diego, Haakenstad, Annie, Johanns, Casey K., Palmisano, Erin B., Hernandez, Bernardo, and Iriarte, Emma
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MMR vaccine research ,MEASLES vaccines ,VACCINATION ,MUMPS vaccines ,RUBELLA vaccines - Abstract
Background: Recent outbreaks of measles in the Americas have received news and popular attention, noting the importance of vaccination to population health. To estimate the potential increase in immunization coverage and reduction in days at risk if every opportunity to vaccinate a child was used, we analyzed vaccination histories of children 11–59 months of age from large household surveys in Mesoamerica. Methods: Our study included 22,234 children aged less than 59 months in El Salvador, Guatemala, Honduras, Mexico, Nicaragua, and Panama. Child vaccination cards were used to calculate coverage of measles, mumps, and rubella (MMR) and to compute the number of days lived at risk. A child had a missed opportunity for vaccination if their card indicated a visit for vaccinations at which the child was not caught up to schedule for MMR. A Cox proportional hazards model was used to compute the hazard ratio associated with the reduction in days at risk, accounting for missed opportunities. Results: El Salvador had the highest proportion of children with a vaccine card (91.2%) while Nicaragua had the lowest (76.5%). Card MMR coverage ranged from 44.6% in Mexico to 79.6% in Honduras while potential coverage accounting for missed opportunities ranged from 70.8% in Nicaragua to 96.4% in El Salvador. Younger children were less likely to have a missed opportunity. In Panama, children from households with higher expenditure were more likely to have a missed opportunity for MMR vaccination compared to the poorest (OR 1.62, 95% CI: 1.06–2.47). In Nicaragua, compared to children of mothers with no education, children of mothers with primary education and secondary education were less likely to have a missed opportunity (OR 0.46, 95% CI: 0.24–0.88 and OR 0.25, 95% CI: 0.096–0.65, respectively). Mean days at risk for MMR ranged from 158 in Panama to 483 in Mexico while potential days at risk ranged from 92 in Panama to 239 in El Salvador. Conclusions: Our study found high levels of missed opportunities for immunizing children in Mesoamerica. Our findings cause great concern, as they indicate that families are bringing their children to health facilities, but these children are not receiving all appropriate vaccinations during visits. This points to serious problems in current immunization practices and protocols in poor areas in Mesoamerica. Our study calls for programs to ensure that vaccines are available and that health professionals use every opportunity to vaccinate a child. [ABSTRACT FROM AUTHOR]
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- 2015
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11. Comparative Estimates of Crude and Effective Coverage of Measles Immunization in Low-Resource Settings: Findings from Salud Mesoamérica 2015.
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Colson, K. Ellicott, Zúñiga-Brenes, Paola, Ríos-Zertuche, Diego, Conde-Glez, Carlos J., Gagnier, Marielle C., Palmisano, Erin, Ranganathan, Dharani, Usmanova, Gulnoza, Salvatierra, Benito, Nazar, Austreberta, Tristao, Ignez, Sanchez Monin, Emmanuelle, Anderson, Brent W., Haakenstad, Annie, Murphy, Tasha, Lim, Stephen, Hernandez, Bernardo, Lozano, Rafael, Iriarte, Emma, and Mokdad, Ali H.
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MEASLES prevention , *IMMUNIZATION , *IMMUNOGLOBULINS , *SEROPREVALENCE , *MULTIVARIATE analysis - Abstract
Timely and accurate measurement of population protection against measles is critical for decision-making and prevention of outbreaks. However, little is known about how survey-based estimates of immunization (crude coverage) compare to the seroprevalence of antibodies (effective coverage), particularly in low-resource settings. In poor areas of Mexico and Nicaragua, we used household surveys to gather information on measles immunization from child health cards and caregiver recall. We also collected dried blood spots (DBS) from children aged 12 to 23 months to compare crude and effective coverage of measles immunization. We used survey-weighted logistic regression to identify individual, maternal, household, community, and health facility characteristics that predict gaps between crude coverage and effective coverage. We found that crude coverage was significantly higher than effective coverage (83% versus 68% in Mexico; 85% versus 50% in Nicaragua). A large proportion of children (19% in Mexico; 43% in Nicaragua) had health card documentation of measles immunization but lacked antibodies. These discrepancies varied from 0% to 100% across municipalities in each country. In multivariate analyses, card-positive children in Mexico were more likely to lack antibodies if they resided in urban areas or the jurisdiction of De Los Llanos. In contrast, card-positive children in Nicaragua were more likely to lack antibodies if they resided in rural areas or the North Atlantic region, had low weight-for-age, or attended health facilities with a greater number of refrigerators. Findings highlight that reliance on child health cards to measure population protection against measles is unwise. We call for the evaluation of immunization programs using serological methods, especially in poor areas where the cold chain is likely to be compromised. Identification of within-country variation in effective coverage of measles immunization will allow researchers and public health professionals to address challenges in current immunization programs. [ABSTRACT FROM AUTHOR]
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- 2015
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12. Health and wealth in Mesoamerica: findings from Salud Mesomérica 2015.
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Mokdad, Ali H., Gagnier, Marielle C., Colson, K. Ellicott, Zúñiga-Brenes, Paola, Ríos-Zertuche, Diego, Haakenstad, Annie, Palmisano, Erin B., Anderson, Brent W., Desai, Sima S., Gillespie, Catherine W., Naghavi, Paria, Nelson, Jennifer, Ranganathan, Dharani, Schaefer, Alexandra, Usmanova, Gulnoza, Wilson, Shelley, Hernandez, Bernardo, Lozano, Rafael, and Iriarte, Emma
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HEALTH equity ,POVERTY ,HEALTH insurance ,POOR women ,CHILDREN'S health ,HEALTH education ,PUBLIC health ,HEALTH - Abstract
Background: Individual income and poverty are associated with poor health outcomes. The poor face unique challenges related to access, education, financial capacity, environmental effects, and other factors that threaten their health outcomes. Methods: We examined the variation in the health outcomes and health behaviors among the poorest quintile in eight countries of Mesoamerica using data from the Salud Mesomérica 2015 baseline household surveys. We used multivariable logistic regression to measure the association between delivering a child in a health facility and select household and maternal characteristics, including education and measures of wealth. Results: Health indicators varied greatly between geographic segments. Controlling for other demographic characteristics, women with at least secondary education were more likely to have an in-facility delivery compared to women who had not attended school (OR: 3.20, 95 % confidence interval [CI]: 2.56-3.99, respectively). Similarly, women from households with the highest expenditure were more likely to deliver in a health facility compared to those from the lowest expenditure households (OR 3.06, 95 % CI: 2.43-3.85). Household assets did not impact these associations. Moreover, we found that commonly-used definitions of poverty do not align with the disparities in health outcomes observed in these communities. Conclusions: Although poverty measured by expenditure or wealth is associated with health disparities or health outcomes, a composite indicator of health poverty based on coverage is more likely to focus attention on health problems and solutions. Our findings call for the public health community to define poverty by health coverage measures rather than income or wealth. Such a health-poverty metric is more likely to generate attention and mobilize targeted action by the health communities than our current definition of poverty. [ABSTRACT FROM AUTHOR]
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- 2015
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13. Comparative estimates of immunisation coverage from three different sources: results from the SM2015 evaluation
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Colson, K Ellicott, Gagnier, Marielle C, Palmisano, Erin, Ranganathan, Dharani, Zúñiga-Brenes, Paola, Ríos-Zertuche, Diego, Ibarraran, Pablo, Murphy, Tasha, Anderson, Brent W, Salvatierra, Benito, Nazar, Austreberta, Conde-Glez, Carlos J, Hernández-Prado, Bernardo, Lozano, Rafael, and Mokdad, Ali H
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- 2013
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14. Optimizing matching and analysis combinations for estimating causal effects.
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Colson, K. Ellicott, Rudolph, Kara E., Zimmerman, Scott C., Goin, Dana E., Stuart, Elizabeth A., Laan, Mark van der, and Ahern, Jennifer
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- 2016
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15. Use of a commercial ELISA for the detection of measles-specific immunoglobulin G (IgG) in dried blood spots collected from children living in low-resource settings.
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Colson KE, Potter A, Conde-Glez C, Hernandez B, Ríos-Zertuche D, Zúñiga-Brenes P, Iriarte E, and Mokdad AH
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- Child, Child, Preschool, Disease Outbreaks, Female, Humans, Male, Mexico, Nicaragua, Reagent Kits, Diagnostic, Reproducibility of Results, Socioeconomic Factors, Antibodies, Viral blood, Dried Blood Spot Testing methods, Enzyme-Linked Immunosorbent Assay, Immunoglobulin G blood, Measles immunology, Measles virus immunology
- Abstract
Seroepidemiological monitoring of population immunity to vaccine-preventable diseases is critical to prevent future outbreaks. Dried blood spots (DBS), drops of capillary blood dried on filter paper, are an affordable, minimally invasive alternative to venipuncture for collecting blood in field settings. However, few proven methods exist to analyze DBS for the presence of protective antibodies. This study validates a novel technique for measuring measles-specific immunoglobulin G (IgG) in capillary DBS using a commercial ELISA. The predictive performance of a new method for analyzing DBS was tested by comparing matched serum and DBS samples from 50 children. The accuracy, precision, and reliability of the procedure were evaluated, and the optimal cut points to classify positive and negative samples were determined. The method was then applied to 1,588 DBS collected during a large survey of children in Mexico and Nicaragua. Measles-specific IgG in serum samples were 62% negative, 10% equivocal, and 28% positive. In comparisons with matched serum, DBS results were 100% sensitive and 96 · 8% specific, and agreed in 46 of 50 (92%) cases. The inter-assay and intra-assay coefficients of variation from kit-provided controls were greater than desired (24.8% and 8.4%, respectively). However, in predictive simulations the average misclassification was only 3.9%. Procedures were found to be acceptable to surveyors and participants. Analyzing DBS collected in low-resources settings is a feasible and accurate means of measuring population immunity to measles and should be used to generate objective measures of health status and health system performance., (© 2015 Wiley Periodicals, Inc.)
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- 2015
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16. The state of US health, 1990-2010: burden of diseases, injuries, and risk factors.
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Murray CJ, Atkinson C, Bhalla K, Birbeck G, Burstein R, Chou D, Dellavalle R, Danaei G, Ezzati M, Fahimi A, Flaxman D, Foreman, Gabriel S, Gakidou E, Kassebaum N, Khatibzadeh S, Lim S, Lipshultz SE, London S, Lopez, MacIntyre MF, Mokdad AH, Moran A, Moran AE, Mozaffarian D, Murphy T, Naghavi M, Pope C, Roberts T, Salomon J, Schwebel DC, Shahraz S, Sleet DA, Murray, Abraham J, Ali MK, Atkinson C, Bartels DH, Bhalla K, Birbeck G, Burstein R, Chen H, Criqui MH, Dahodwala, Jarlais, Ding EL, Dorsey ER, Ebel BE, Ezzati M, Fahami, Flaxman S, Flaxman AD, Gonzalez-Medina D, Grant B, Hagan H, Hoffman H, Kassebaum N, Khatibzadeh S, Leasher JL, Lin J, Lipshultz SE, Lozano R, Lu Y, Mallinger L, McDermott MM, Micha R, Miller TR, Mokdad AA, Mokdad AH, Mozaffarian D, Naghavi M, Narayan KM, Omer SB, Pelizzari PM, Phillips D, Ranganathan D, Rivara FP, Roberts T, Sampson U, Sanman E, Sapkota A, Schwebel DC, Sharaz S, Shivakoti R, Singh GM, Singh D, Tavakkoli M, Towbin JA, Wilkinson JD, Zabetian A, Murray, Abraham J, Ali MK, Alvardo M, Atkinson C, Baddour LM, Benjamin EJ, Bhalla K, Birbeck G, Bolliger I, Burstein R, Carnahan E, Chou D, Chugh SS, Cohen A, Colson KE, Cooper LT, Couser W, Criqui MH, Dabhadkar KC, Dellavalle RP, Jarlais, Dicker D, Dorsey ER, Duber H, Ebel BE, Engell RE, Ezzati M, Felson DT, Finucane MM, Flaxman S, Flaxman AD, Fleming T, Foreman, Forouzanfar MH, Freedman G, Freeman MK, Gakidou E, Gillum RF, Gonzalez-Medina D, Gosselin R, Gutierrez HR, Hagan H, Havmoeller R, Hoffman H, Jacobsen KH, James SL, Jasrasaria R, Jayarman S, Johns N, Kassebaum N, Khatibzadeh S, Lan Q, Leasher JL, Lim S, Lipshultz SE, London S, Lopez, Lozano R, Lu Y, Mallinger L, Meltzer M, Mensah GA, Michaud C, Miller TR, Mock C, Moffitt TE, Mokdad AA, Mokdad AH, Moran A, Naghavi M, Narayan KM, Nelson RG, Olives C, Omer SB, Ortblad K, Ostro B, Pelizzari PM, Phillips D, Raju M, Razavi H, Ritz B, Roberts T, Sacco RL, Salomon J, Sampson U, Schwebel DC, Shahraz S, Shibuya K, Silberberg D, Singh JA, Steenland K, Taylor JA, Thurston GD, Vavilala MS, Vos T, Wagner GR, Weinstock MA, Weisskopf MG, Wulf S, and Murray
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- Adolescent, Adult, Aged, Aged, 80 and over, Child, Child, Preschool, Developed Countries statistics & numerical data, Persons with Disabilities statistics & numerical data, Female, Global Health, Humans, Infant, Male, Middle Aged, Morbidity, Mortality, Premature, Risk Factors, United States epidemiology, Chronic Disease mortality, Cost of Illness, Health Status, Life Expectancy, Wounds and Injuries mortality
- Abstract
Importance: Understanding the major health problems in the United States and how they are changing over time is critical for informing national health policy., Objectives: To measure the burden of diseases, injuries, and leading risk factors in the United States from 1990 to 2010 and to compare these measurements with those of the 34 countries in the Organisation for Economic Co-operation and Development (OECD) countries., Design: We used the systematic analysis of descriptive epidemiology of 291 diseases and injuries, 1160 sequelae of these diseases and injuries, and 67 risk factors or clusters of risk factors from 1990 to 2010 for 187 countries developed for the Global Burden of Disease 2010 Study to describe the health status of the United States and to compare US health outcomes with those of 34 OECD countries. Years of life lost due to premature mortality (YLLs) were computed by multiplying the number of deaths at each age by a reference life expectancy at that age. Years lived with disability (YLDs) were calculated by multiplying prevalence (based on systematic reviews) by the disability weight (based on population-based surveys) for each sequela; disability in this study refers to any short- or long-term loss of health. Disability-adjusted life-years (DALYs) were estimated as the sum of YLDs and YLLs. Deaths and DALYs related to risk factors were based on systematic reviews and meta-analyses of exposure data and relative risks for risk-outcome pairs. Healthy life expectancy (HALE) was used to summarize overall population health, accounting for both length of life and levels of ill health experienced at different ages., Results: US life expectancy for both sexes combined increased from 75.2 years in 1990 to 78.2 years in 2010; during the same period, HALE increased from 65.8 years to 68.1 years. The diseases and injuries with the largest number of YLLs in 2010 were ischemic heart disease, lung cancer, stroke, chronic obstructive pulmonary disease, and road injury. Age-standardized YLL rates increased for Alzheimer disease, drug use disorders, chronic kidney disease, kidney cancer, and falls. The diseases with the largest number of YLDs in 2010 were low back pain, major depressive disorder, other musculoskeletal disorders, neck pain, and anxiety disorders. As the US population has aged, YLDs have comprised a larger share of DALYs than have YLLs. The leading risk factors related to DALYs were dietary risks, tobacco smoking, high body mass index, high blood pressure, high fasting plasma glucose, physical inactivity, and alcohol use. Among 34 OECD countries between 1990 and 2010, the US rank for the age-standardized death rate changed from 18th to 27th, for the age-standardized YLL rate from 23rd to 28th, for the age-standardized YLD rate from 5th to 6th, for life expectancy at birth from 20th to 27th, and for HALE from 14th to 26th., Conclusions and Relevance: From 1990 to 2010, the United States made substantial progress in improving health. Life expectancy at birth and HALE increased, all-cause death rates at all ages decreased, and age-specific rates of years lived with disability remained stable. However, morbidity and chronic disability now account for nearly half of the US health burden, and improvements in population health in the United States have not kept pace with advances in population health in other wealthy nations.
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- 2013
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