36 results on '"Pierotti, Livia"'
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2. Can computer simulation support strategic service planning? Modelling a large integrated mental health system on recovery from COVID-19
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Pierotti, Livia, Cooper, Jennifer, James, Charlotte, Cassels, Kenah, Gara, Emma, Denholm, Rachel, and Wood, Richard
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- 2024
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3. COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records
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Abbasizanjani, Hoda, Ahmed, Nida, Ahmed, Badar, Akbari, Ashley, Akinoso-Imran, Abdul Qadr, Allara, Elias, Allery, Freya, Angelantonio, Emanuele Di, Ashworth, Mark, Ayyar-Gupta, Vandana, Babu-Narayan, Sonya, Bacon, Seb, Ball, Steve, Banerjee, Ami, Barber, Mark, Barrett, Jessica, Bennie, Marion, Berry, Colin, Beveridge, Jennifer, Birney, Ewan, Bojanić, Lana, Bolton, Thomas, Bone, Anna, Boyle, Jon, Braithwaite, Tasanee, Bray, Ben, Briffa, Norman, Brind, David, Brown, Katherine, Buch, Maya, Canoy, Dexter, Caputo, Massimo, Carragher, Raymond, Carson, Alan, Cezard, Genevieve, Chang, Jen-Yu Amy, Cheema, Kate, Chin, Richard, Chudasama, Yogini, Cooper, Jennifer, Copland, Emma, Crallan, Rebecca, Cripps, Rachel, Cromwell, David, Curcin, Vasa, Curry, Gwenetta, Dale, Caroline, Danesh, John, Das-Munshi, Jayati, Dashtban, Ashkan, Davies, Alun, Davies, Joanna, Davies, Gareth, Davies, Neil, Day, Joshua, Delmestri, Antonella, Denaxas, Spiros, Denholm, Rachel, Dennis, John, Denniston, Alastair, Deo, Salil, Dhillon, Baljean, Docherty, Annemarie, Dong, Tim, Douiri, Abdel, Downs, Johnny, Dregan, Alexandru, Ellins, Elizabeth A, Elwenspoek, Martha, Falck, Fabian, Falter, Florian, Fan, Yat Yi, Firth, Joseph, Fraser, Lorna, Friebel, Rocco, Gavrieli, Amir, Gerstung, Moritz, Gilbert, Ruth, Gillies, Clare, Glickman, Myer, Goldacre, Ben, Goldacre, Raph, Greaves, Felix, Green, Mark, Grieco, Luca, Griffiths, Rowena, Gurdasani, Deepti, Halcox, Julian, Hall, Nick, Hama, Tuankasfee, Handy, Alex, Hansell, Anna, Hardelid, Pia, Hardy, Flavien, Harris, Daniel, Harrison, Camille, Harron, Katie, Hassaine, Abdelaali, Hassan, Lamiece, Healey, Russell, Hemingway, Harry, Henderson, Angela, Herz, Naomi, Heyl, Johannes, Hidajat, Mira, Higginson, Irene, Hinchliffe, Rosie, Hippisley-Cox, Julia, Ho, Frederick, Hocaoglu, Mevhibe, Hollings, Sam, Horne, Elsie, Hughes, David, Humberstone, Ben, Inouye, Mike, Ip, Samantha, Islam, Nazrul, Jackson, Caroline, Jenkins, David, Jiang, Xiyun, Johnson, Shane, Kadam, Umesh, Kallis, Costas, Karim, Zainab, Kasan, Jake, Katsoulis, Michalis, Kavanagh, Kim, Kee, Frank, Keene, Spencer, Kent, Seamus, Khalid, Sara, Khawaja, Anthony, Khunti, Kamlesh, Killick, Richard, Kinnear, Deborah, Knight, Rochelle, Kolamunnage-Dona, Ruwanthi, Kontopantelis, Evan, Kurdi, Amanj, Lacey, Ben, Lai, Alvina, Lambarth, Andrew, Larzjan, Milad Nazarzadeh, Lawler, Deborah, Lawrence, Thomas, Lawson, Claire, Li, Qiuju, Li, Ken, Llinares, Miguel Bernabeu, Lorgelly, Paula, Lowe, Deborah, Lyons, Jane, Lyons, Ronan, Machado, Pedro, Macleod, Mary Joan, Macleod, John, Malgapo, Evaleen, Mamas, Mamas, Mamouei, Mohammad, Manohar, Sinduja, Mapeta, Rutendo, Martelli, Javiera Leniz, Martos, David Moreno, Mateen, Bilal, McCarthy, Aoife, Melville, Craig, Milton, Rebecca, Mizani, Mehrdad, Moncusi, Marta Pineda, Morales, Daniel, Mordi, Ify, Morrice, Lynn, Morris, Carole, Morris, Eva, Mu, Yi, Mueller, Tanja, Murdock, Lars, Nafilyan, Vahé, Nicholson, George, Nikiphorou, Elena, Nolan, John, Norris, Tom, Norris, Ruth, North, Laura, North, Teri-Louise, O'Connell, Dan, Oliver, Dominic, Oluyase, Adejoke, Olvera-Barrios, Abraham, Omigie, Efosa, Onida, Sarah, Padmanabhan, Sandosh, Palmer, Tom, Pasea, Laura, Patel, Riyaz, Payne, Rupert, Pell, Jill, Petitjean, Carmen, Pherwani, Arun, Pickrell, Owen, Pierotti, Livia, Pirmohamed, Munir, Priedon, Rouven, Prieto-Alhambra, Dani, Proudfoot, Alastair, Quinn, Terry, Quint, Jennifer, Raffetti, Elena, Rahimi, Kazem, Rao, Shishir, Razieh, Cameron, Roberts, Brian, Rogers, Caroline, Rossdale, Jennifer, Salim, Safa, Samani, Nilesh, Sattar, Naveed, Schnier, Christian, Schwartz, Roy, Selby, David, Seminog, Olena, Shabnam, Sharmin, Shah, Ajay, Shelton, Jon, Sheppard, James, Sinha, Shubhra, Skrypak, Mirek, Slapkova, Martina, Sleeman, Katherine, Smith, Craig, Sofat, Reecha, Sosenko, Filip, Sperrin, Matthew, Steeg, Sarah, Sterne, Jonathan, Stoica, Serban, Sudell, Maria, Sudlow, Cathie, Sun, Luanluan, Suseeladevi, Arun Karthikeyan, Sweeting, Michael, Sydes, Matt, Takhar, Rohan, Tang, Howard, Thygesen, Johan, Tilston, George, Tochel, Claire, Toit, Clea du, Tomlinson, Christopher, Toms, Renin, Torabi, Fatemeh, Torralbo, Ana, Townson, Julia, Tufail, Adnan, Tungamirai, Tapiwa, Varma, Susheel, Vollmer, Sebastian, Walker, Venexia, Wang, Tianxiao, Wang, Huan, Warwick, Alasdair, Watkinson, Ruth, Watson, Harry, Whiteley, William, Whittaker, Hannah, Wilde, Harry, Wilkinson, Tim, Williams, Gareth, Williams, Michelle, Williams, Richard, Withnell, Eloise, Wolfe, Charles, Wood, Angela, Wright, Lucy, Wu, Honghan, Wu, Jinge, Wu, Jianhua, Yates, Tom, Zaccardi, Francesco, Zhang, Haoting, Zhang, Huayu, Zuccolo, Luisa, Thygesen, Johan H, Mizani, Mehrdad A, Banerjee, Amitava, Lai, Alvina G, Li, Kezhi, Mateen, Bilal A, Sterne, Jonathan A C, Pagel, Christina, and Whiteley, William N
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- 2022
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4. Acute and long-term outcomes of SARS-CoV-2 infection in school-aged children in England: Study protocol for the joint analysis of the COVID-19 schools infection survey (SIS) and the COVID-19 mapping and mitigation in schools (CoMMinS) study
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Looker, Katharine J., primary, McClenaghan, Elliot, additional, Judd, Alison, additional, Pierotti, Livia, additional, Downing, Harriet, additional, Phelan, Jody, additional, Warren-Gash, Charlotte, additional, Ngozi, Kalu, additional, Dawe, Fiona, additional, Relton, Caroline, additional, Christensen, Hannah, additional, Hay, Alastair D., additional, Mangtani, Punam, additional, Nguipdop-Djomo, Patrick, additional, and Denholm, Rachel, additional
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- 2024
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5. Radiofrequency electromagnetic fields from mobile communication: Description of modeled dose in brain regions and the body in European children and adolescents
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Birks, Laura Ellen, van Wel, Luuk, Liorni, Ilaria, Pierotti, Livia, Guxens, Mònica, Huss, Anke, Foerster, Milena, Capstick, Myles, Eeftens, Marloes, El Marroun, Hanan, Estarlich, Marisa, Gallastegi, Mara, Safont, Llúcia González, Joseph, Wout, Santa-Marina, Loreto, Thielens, Arno, Torrent, Maties, Vrijkotte, Tanja, Wiart, Joe, Röösli, Martin, Cardis, Elisabeth, Vermeulen, Roel, and Vrijheid, Martine
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- 2021
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6. Association between estimated whole-brain radiofrequency electromagnetic fields dose and cognitive function in preadolescents and adolescents
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Cabré-Riera, Alba, van Wel, Luuk, Liorni, Ilaria, Thielens, Arno, Birks, Laura Ellen, Pierotti, Livia, Joseph, Wout, González-Safont, Llúcia, Ibarluzea, Jesús, Ferrero, Amparo, Huss, Anke, Wiart, Joe, Santa-Marina, Loreto, Torrent, Maties, Vrijkotte, Tanja, Capstick, Myles, Vermeulen, Roel, Vrijheid, Martine, Cardis, Elisabeth, Röösli, Martin, and Guxens, Mònica
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- 2021
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7. Estimated whole-brain and lobe-specific radiofrequency electromagnetic fields doses and brain volumes in preadolescents
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Cabré-Riera, Alba, Marroun, Hanan El, Muetzel, Ryan, van Wel, Luuk, Liorni, Ilaria, Thielens, Arno, Birks, Laura Ellen, Pierotti, Livia, Huss, Anke, Joseph, Wout, Wiart, Joe, Capstick, Myles, Hillegers, Manon, Vermeulen, Roel, Cardis, Elisabeth, Vrijheid, Martine, White, Tonya, Röösli, Martin, Tiemeier, Henning, and Guxens, Mònica
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- 2020
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8. Prenatal and postnatal exposure to air pollution and emotional and aggressive symptoms in children from 8 European birth cohorts
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Jorcano, Ainhoa, Lubczyńska, Małgorzata J., Pierotti, Livia, Altug, Hicran, Ballester, Ferran, Cesaroni, Giulia, El Marroun, Hanan, Fernández-Somoano, Ana, Freire, Carmen, Hanke, Wojciech, Hoek, Gerard, Ibarluzea, Jesús, Iñiguez, Carmen, Jansen, Pauline W., Lepeule, Johanna, Markevych, Iana, Polańska, Kinga, Porta, Daniela, Schikowski, Tamara, Slama, Remy, Standl, Marie, Tardon, Adonina, Vrijkotte, Tanja G.M., von Berg, Andrea, Tiemeier, Henning, Sunyer, Jordi, and Guxens, Mònica
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- 2019
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9. Cycling in Warsaw, Poland – Perceived enablers and barriers according to cyclists and non-cyclists
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Iwińska, Katarzyna, Blicharska, Malgorzata, Pierotti, Livia, Tainio, Marko, and de Nazelle, Audrey
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- 2018
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10. Evaluating the impact on health outcomes of an event that resulted in a delay in contact tracing of COVID-19 cases in England, September 2020: an observational study
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Findlater, Lucy, primary, Pierotti, Livia, additional, Turner, Charlie, additional, Wensley, Adrian, additional, Chen, Cong, additional, Seaman, Shaun, additional, Samartsidis, Pantelis, additional, Charlett, Andre, additional, Anderson, Charlotte, additional, Hughes, Gareth, additional, Hickman, Matthew, additional, Edeghere, Obaghe, additional, and Oliver, Isabel, additional
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- 2023
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11. COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records
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Thygesen, Johan H, primary, Tomlinson, Christopher, additional, Hollings, Sam, additional, Mizani, Mehrdad A, additional, Handy, Alex, additional, Akbari, Ashley, additional, Banerjee, Amitava, additional, Cooper, Jennifer, additional, Lai, Alvina G, additional, Li, Kezhi, additional, Mateen, Bilal A, additional, Sattar, Naveed, additional, Sofat, Reecha, additional, Torralbo, Ana, additional, Wu, Honghan, additional, Wood, Angela, additional, Sterne, Jonathan A C, additional, Pagel, Christina, additional, Whiteley, William N, additional, Sudlow, Cathie, additional, Hemingway, Harry, additional, Denaxas, Spiros, additional, Abbasizanjani, Hoda, additional, Ahmed, Nida, additional, Ahmed, Badar, additional, Akinoso-Imran, Abdul Qadr, additional, Allara, Elias, additional, Allery, Freya, additional, Angelantonio, Emanuele Di, additional, Ashworth, Mark, additional, Ayyar-Gupta, Vandana, additional, Babu-Narayan, Sonya, additional, Bacon, Seb, additional, Ball, Steve, additional, Banerjee, Ami, additional, Barber, Mark, additional, Barrett, Jessica, additional, Bennie, Marion, additional, Berry, Colin, additional, Beveridge, Jennifer, additional, Birney, Ewan, additional, Bojanić, Lana, additional, Bolton, Thomas, additional, Bone, Anna, additional, Boyle, Jon, additional, Braithwaite, Tasanee, additional, Bray, Ben, additional, Briffa, Norman, additional, Brind, David, additional, Brown, Katherine, additional, Buch, Maya, additional, Canoy, Dexter, additional, Caputo, Massimo, additional, Carragher, Raymond, additional, Carson, Alan, additional, Cezard, Genevieve, additional, Chang, Jen-Yu Amy, additional, Cheema, Kate, additional, Chin, Richard, additional, Chudasama, Yogini, additional, Copland, Emma, additional, Crallan, Rebecca, additional, Cripps, Rachel, additional, Cromwell, David, additional, Curcin, Vasa, additional, Curry, Gwenetta, additional, Dale, Caroline, additional, Danesh, John, additional, Das-Munshi, Jayati, additional, Dashtban, Ashkan, additional, Davies, Alun, additional, Davies, Joanna, additional, Davies, Gareth, additional, Davies, Neil, additional, Day, Joshua, additional, Delmestri, Antonella, additional, Denholm, Rachel, additional, Dennis, John, additional, Denniston, Alastair, additional, Deo, Salil, additional, Dhillon, Baljean, additional, Docherty, Annemarie, additional, Dong, Tim, additional, Douiri, Abdel, additional, Downs, Johnny, additional, Dregan, Alexandru, additional, Ellins, Elizabeth A, additional, Elwenspoek, Martha, additional, Falck, Fabian, additional, Falter, Florian, additional, Fan, Yat Yi, additional, Firth, Joseph, additional, Fraser, Lorna, additional, Friebel, Rocco, additional, Gavrieli, Amir, additional, Gerstung, Moritz, additional, Gilbert, Ruth, additional, Gillies, Clare, additional, Glickman, Myer, additional, Goldacre, Ben, additional, Goldacre, Raph, additional, Greaves, Felix, additional, Green, Mark, additional, Grieco, Luca, additional, Griffiths, Rowena, additional, Gurdasani, Deepti, additional, Halcox, Julian, additional, Hall, Nick, additional, Hama, Tuankasfee, additional, Hansell, Anna, additional, Hardelid, Pia, additional, Hardy, Flavien, additional, Harris, Daniel, additional, Harrison, Camille, additional, Harron, Katie, additional, Hassaine, Abdelaali, additional, Hassan, Lamiece, additional, Healey, Russell, additional, Henderson, Angela, additional, Herz, Naomi, additional, Heyl, Johannes, additional, Hidajat, Mira, additional, Higginson, Irene, additional, Hinchliffe, Rosie, additional, Hippisley-Cox, Julia, additional, Ho, Frederick, additional, Hocaoglu, Mevhibe, additional, Horne, Elsie, additional, Hughes, David, additional, Humberstone, Ben, additional, Inouye, Mike, additional, Ip, Samantha, additional, Islam, Nazrul, additional, Jackson, Caroline, additional, Jenkins, David, additional, Jiang, Xiyun, additional, Johnson, Shane, additional, Kadam, Umesh, additional, Kallis, Costas, additional, Karim, Zainab, additional, Kasan, Jake, additional, Katsoulis, Michalis, additional, Kavanagh, Kim, additional, Kee, Frank, additional, Keene, Spencer, additional, Kent, Seamus, additional, Khalid, Sara, additional, Khawaja, Anthony, additional, Khunti, Kamlesh, additional, Killick, Richard, additional, Kinnear, Deborah, additional, Knight, Rochelle, additional, Kolamunnage-Dona, Ruwanthi, additional, Kontopantelis, Evan, additional, Kurdi, Amanj, additional, Lacey, Ben, additional, Lai, Alvina, additional, Lambarth, Andrew, additional, Larzjan, Milad Nazarzadeh, additional, Lawler, Deborah, additional, Lawrence, Thomas, additional, Lawson, Claire, additional, Li, Qiuju, additional, Li, Ken, additional, Llinares, Miguel Bernabeu, additional, Lorgelly, Paula, additional, Lowe, Deborah, additional, Lyons, Jane, additional, Lyons, Ronan, additional, Machado, Pedro, additional, Macleod, Mary Joan, additional, Macleod, John, additional, Malgapo, Evaleen, additional, Mamas, Mamas, additional, Mamouei, Mohammad, additional, Manohar, Sinduja, additional, Mapeta, Rutendo, additional, Martelli, Javiera Leniz, additional, Martos, David Moreno, additional, Mateen, Bilal, additional, McCarthy, Aoife, additional, Melville, Craig, additional, Milton, Rebecca, additional, Mizani, Mehrdad, additional, Moncusi, Marta Pineda, additional, Morales, Daniel, additional, Mordi, Ify, additional, Morrice, Lynn, additional, Morris, Carole, additional, Morris, Eva, additional, Mu, Yi, additional, Mueller, Tanja, additional, Murdock, Lars, additional, Nafilyan, Vahé, additional, Nicholson, George, additional, Nikiphorou, Elena, additional, Nolan, John, additional, Norris, Tom, additional, Norris, Ruth, additional, North, Laura, additional, North, Teri-Louise, additional, O'Connell, Dan, additional, Oliver, Dominic, additional, Oluyase, Adejoke, additional, Olvera-Barrios, Abraham, additional, Omigie, Efosa, additional, Onida, Sarah, additional, Padmanabhan, Sandosh, additional, Palmer, Tom, additional, Pasea, Laura, additional, Patel, Riyaz, additional, Payne, Rupert, additional, Pell, Jill, additional, Petitjean, Carmen, additional, Pherwani, Arun, additional, Pickrell, Owen, additional, Pierotti, Livia, additional, Pirmohamed, Munir, additional, Priedon, Rouven, additional, Prieto-Alhambra, Dani, additional, Proudfoot, Alastair, additional, Quinn, Terry, additional, Quint, Jennifer, additional, Raffetti, Elena, additional, Rahimi, Kazem, additional, Rao, Shishir, additional, Razieh, Cameron, additional, Roberts, Brian, additional, Rogers, Caroline, additional, Rossdale, Jennifer, additional, Salim, Safa, additional, Samani, Nilesh, additional, Schnier, Christian, additional, Schwartz, Roy, additional, Selby, David, additional, Seminog, Olena, additional, Shabnam, Sharmin, additional, Shah, Ajay, additional, Shelton, Jon, additional, Sheppard, James, additional, Sinha, Shubhra, additional, Skrypak, Mirek, additional, Slapkova, Martina, additional, Sleeman, Katherine, additional, Smith, Craig, additional, Sosenko, Filip, additional, Sperrin, Matthew, additional, Steeg, Sarah, additional, Sterne, Jonathan, additional, Stoica, Serban, additional, Sudell, Maria, additional, Sun, Luanluan, additional, Suseeladevi, Arun Karthikeyan, additional, Sweeting, Michael, additional, Sydes, Matt, additional, Takhar, Rohan, additional, Tang, Howard, additional, Thygesen, Johan, additional, Tilston, George, additional, Tochel, Claire, additional, Toit, Clea du, additional, Toms, Renin, additional, Torabi, Fatemeh, additional, Townson, Julia, additional, Tufail, Adnan, additional, Tungamirai, Tapiwa, additional, Varma, Susheel, additional, Vollmer, Sebastian, additional, Walker, Venexia, additional, Wang, Tianxiao, additional, Wang, Huan, additional, Warwick, Alasdair, additional, Watkinson, Ruth, additional, Watson, Harry, additional, Whiteley, William, additional, Whittaker, Hannah, additional, Wilde, Harry, additional, Wilkinson, Tim, additional, Williams, Gareth, additional, Williams, Michelle, additional, Williams, Richard, additional, Withnell, Eloise, additional, Wolfe, Charles, additional, Wright, Lucy, additional, Wu, Jinge, additional, Wu, Jianhua, additional, Yates, Tom, additional, Zaccardi, Francesco, additional, Zhang, Haoting, additional, Zhang, Huayu, additional, and Zuccolo, Luisa, additional
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- 2022
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12. Evaluating the impact on health outcomes of an event that resulted in a delay in contact tracing of COVID-19 cases
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Findlater, Lucy, primary, Pierotti, Livia, additional, Turner, Charlie, additional, Wensley, Adrian, additional, Chen, Cong, additional, Seaman, Shaun, additional, Samartsidis, Pantelis, additional, Charlett, Andre, additional, Anderson, Charlotte, additional, Hughes, Gareth, additional, Hickman, Matt, additional, Edeghere, Obaghe, additional, and Oliver, Isabel, additional
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- 2022
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13. Linked electronic health records for research on a nationwide cohort of more than 54 million people in England:data resource
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Wood, Angela, Denholm, Rachel, Hollings, Sam, Cooper, Jennifer, Ip, Samantha, Walker, Venexia, Denaxas, Spiros, Akbari, Ashley, Banerjee, Amitava, Whiteley, William, Lai, Alvina, Sterne, Jonathan, Sudlow, Cathie, CVD-COVID-UK Consortium, Douiri, Abdel, Akinoso-Imran, Abdul Qadr, Jonas, Adrian, Shah, Ajay, Handy, Alex, Davies, Alun, Kurdi, Amanj, Hansell, Anna, Docherty, Annemarie, Pherwani, Arun, Dashtban, Ashkan, Bray, Ben, Cairns, Ben, Goldacre, Ben, Humberstone, Ben, Mateen, Bilal, Doble, Brett, Roberts, Brian, Morris, Carole, Dale, Caroline, Rogers, Caroline, Wolfe, Charles, Tomlinson, Christopher, Lawson, Claire, Du Toit, Clea, Berry, Colin, Smith, Craig, O’Connell, Dan, Harris, Daniel, Brind, David, Cromwell, David, Hughes, David, Martos, David Moreno, Ringham, Debbie, Lawler, Deborah, Lowe, Deborah, Nikiphorou, Elena, Withnell, Eloise, Di Angelantonio, Emanuele, Morris, Eva, Birney, Ewan, Falck, Fabian, Torabi, Fatemeh, Greaves, Felix, Falter, Florian, Zaccardi, Francesco, Kee, Frank, Davies, Gareth, Nicholson, George, Curry, Gwenetta, Zhang, Haoting, Hemingway, Harry, Wilde, Harry, Abbasizanjani, Hoda, Wu, Honghan, Tang, Howard, Wang, Huan, Mordi, Ify, MacArthur, Jackie, Lyons, Jane, Beveridge, Jennifer, Barrett, Jessica, Wu, Jianhua, Thygesen, Johan, Danesh, John, Dennis, John, Boyle, Jon, Halcox, Julian, Khunti, Kamlesh, Cheema, Kate, Brown, Katherine, Li, Ken, Kavanagh, Kim, North, Laura, Pasea, Laura, Ellins, Libby, Pierotti, Livia, Wright, Lucy, Martin, Lydia, Morrice, Lynn, Mamas, Mamas, Bennie, Marion, Barber, Mark, Macleod, Mary Joan, Caputo, Massimo, Buch, Maya, Mizani, Mehrdad, Katsoulis, Michalis, Gravenor, Mike, Inouye, Mike, Skrypak, Mirek, Gerstung, Moritz, Pirmohamed, Munir, Glickman, Myer, Herz, Naomi, Davies, Neil, Hall, Nick, Samani, Nilesh, Seminog, Olena, Lorgelly, Paula, Machado, Pedro, Li, Qiuju, Goldacre, Raph, Carragher, Raymond, Sofat, Reecha, Takhar, Rohan, Lyons, Ronan, Priedon, Rouven, Griffiths, Rowena, Payne, Rupert, Kolamunnage-Dona, Ruwanthi, Salim, Safa, Padmanabhan, Sandosh, Onida, Sarah, Kent, Seamus, Bacon, Seb, Manohar, Sinduja, Babu-Narayan, Sonya, Keene, Spencer, Varma, Susheel, Lawrence, Thomas, Wang, Tianxiao, Wilkinson, Tim, Norris, Tom, Palmer, Tom, Nafilyan, Vahé, Wood, Angela [0000-0002-7937-304X], and Apollo - University of Cambridge Repository
- Subjects
Male ,COVID-19/diagnosis ,030204 cardiovascular system & hematology ,Cohort Studies ,0302 clinical medicine ,COVID-19 Testing ,Epidemiology ,Electronic Health Records ,Primary Health Care/statistics & numerical data ,030212 general & internal medicine ,Child ,Stroke ,Cardiovascular Diseases/diagnosis ,education.field_of_study ,General Medicine ,Middle Aged ,Hospitalization ,England ,Cardiovascular Diseases ,Child, Preschool ,Cohort ,Female ,Medical emergency ,Medical Record Linkage ,Cohort study ,Adult ,medicine.medical_specialty ,COVID-19 Vaccines ,Adolescent ,Population ,MEDLINE ,03 medical and health sciences ,Young Adult ,Intensive care ,medicine ,Humans ,England/epidemiology ,education ,Aged ,Hospitalization/statistics & numerical data ,Primary Health Care ,business.industry ,SARS-CoV-2 ,Public health ,Research ,Infant, Newborn ,COVID-19 ,Infant ,medicine.disease ,United Kingdom ,business - Abstract
Objective To describe a novel England-wide electronic health record (EHR) resource enabling whole population research on covid-19 and cardiovascular disease while ensuring data security and privacy and maintaining public trust. Design Data resource comprising linked person level records from national healthcare settings for the English population, accessible within NHS Digital’s new trusted research environment. Setting EHRs from primary care, hospital episodes, death registry, covid-19 laboratory test results, and community dispensing data, with further enrichment planned from specialist intensive care, cardiovascular, and covid-19 vaccination data. Participants 54.4 million people alive on 1 January 2020 and registered with an NHS general practitioner in England. Main outcome measures Confirmed and suspected covid-19 diagnoses, exemplar cardiovascular conditions (incident stroke or transient ischaemic attack and incident myocardial infarction) and all cause mortality between 1 January and 31 October 2020. Results The linked cohort includes more than 96% of the English population. By combining person level data across national healthcare settings, data on age, sex, and ethnicity are complete for around 95% of the population. Among 53.3 million people with no previous diagnosis of stroke or transient ischaemic attack, 98 721 had a first ever incident stroke or transient ischaemic attack between 1 January and 31 October 2020, of which 30% were recorded only in primary care and 4% only in death registry records. Among 53.2 million people with no previous diagnosis of myocardial infarction, 62 966 had an incident myocardial infarction during follow-up, of which 8% were recorded only in primary care and 12% only in death registry records. A total of 959 470 people had a confirmed or suspected covid-19 diagnosis (714 162 in primary care data, 126 349 in hospital admission records, 776 503 in covid-19 laboratory test data, and 50 504 in death registry records). Although 58% of these were recorded in both primary care and covid-19 laboratory test data, 15% and 18%, respectively, were recorded in only one. Conclusions This population-wide resource shows the importance of linking person level data across health settings to maximise completeness of key characteristics and to ascertain cardiovascular events and covid-19 diagnoses. Although this resource was initially established to support research on covid-19 and cardiovascular disease to benefit clinical care and public health and to inform healthcare policy, it can broaden further to enable a wide range of research.
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- 2021
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14. Radiofrequency electromagnetic fields from mobile communication: Description of modeled dose in brain regions and the body in European children and adolescents
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One Health Chemisch, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, LS IRAS EEPI ME (Milieu epidemiologie), Birks, Laura Ellen, van Wel, Luuk, Liorni, Ilaria, Pierotti, Livia, Guxens, Mònica, Huss, Anke, Foerster, Milena, Capstick, Myles, Eeftens, Marloes, El Marroun, Hanan, Estarlich, Marisa, Gallastegi, Mara, Safont, Llúcia González, Joseph, Wout, Santa-Marina, Loreto, Thielens, Arno, Torrent, Maties, Vrijkotte, Tanja, Wiart, Joe, Röösli, Martin, Cardis, Elisabeth, Vermeulen, Roel, Vrijheid, Martine, One Health Chemisch, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, LS IRAS EEPI ME (Milieu epidemiologie), Birks, Laura Ellen, van Wel, Luuk, Liorni, Ilaria, Pierotti, Livia, Guxens, Mònica, Huss, Anke, Foerster, Milena, Capstick, Myles, Eeftens, Marloes, El Marroun, Hanan, Estarlich, Marisa, Gallastegi, Mara, Safont, Llúcia González, Joseph, Wout, Santa-Marina, Loreto, Thielens, Arno, Torrent, Maties, Vrijkotte, Tanja, Wiart, Joe, Röösli, Martin, Cardis, Elisabeth, Vermeulen, Roel, and Vrijheid, Martine
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- 2021
15. Association between estimated whole-brain radiofrequency electromagnetic fields dose and cognitive function in preadolescents and adolescents
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One Health Chemisch, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Cabré-Riera, Alba, van Wel, Luuk, Liorni, Ilaria, Thielens, Arno, Birks, Laura Ellen, Pierotti, Livia, Joseph, Wout, González-Safont, Llúcia, Ibarluzea, Jesús, Ferrero, Amparo, Huss, Anke, Wiart, Joe, Santa-Marina, Loreto, Torrent, Maties, Vrijkotte, Tanja, Capstick, Myles, Vermeulen, Roel, Vrijheid, Martine, Cardis, Elisabeth, Röösli, Martin, Guxens, Mònica, One Health Chemisch, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Cabré-Riera, Alba, van Wel, Luuk, Liorni, Ilaria, Thielens, Arno, Birks, Laura Ellen, Pierotti, Livia, Joseph, Wout, González-Safont, Llúcia, Ibarluzea, Jesús, Ferrero, Amparo, Huss, Anke, Wiart, Joe, Santa-Marina, Loreto, Torrent, Maties, Vrijkotte, Tanja, Capstick, Myles, Vermeulen, Roel, Vrijheid, Martine, Cardis, Elisabeth, Röösli, Martin, and Guxens, Mònica
- Published
- 2021
16. Estimated whole-brain and lobe-specific radiofrequency electromagnetic fields doses and brain volumes in preadolescents
- Author
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One Health Chemisch, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Cabré-Riera, Alba, Marroun, Hanan El, Muetzel, Ryan, van Wel, Luuk, Liorni, Ilaria, Thielens, Arno, Birks, Laura Ellen, Pierotti, Livia, Huss, Anke, Joseph, Wout, Wiart, Joe, Capstick, Myles, Hillegers, Manon, Vermeulen, Roel, Cardis, Elisabeth, Vrijheid, Martine, White, Tonya, Röösli, Martin, Tiemeier, Henning, Guxens, Mònica, One Health Chemisch, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Cabré-Riera, Alba, Marroun, Hanan El, Muetzel, Ryan, van Wel, Luuk, Liorni, Ilaria, Thielens, Arno, Birks, Laura Ellen, Pierotti, Livia, Huss, Anke, Joseph, Wout, Wiart, Joe, Capstick, Myles, Hillegers, Manon, Vermeulen, Roel, Cardis, Elisabeth, Vrijheid, Martine, White, Tonya, Röösli, Martin, Tiemeier, Henning, and Guxens, Mònica
- Published
- 2020
17. Association of Exposure to Ambient Air Pollution With Thyroid Function During Pregnancy
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Ghassabian, Akhgar, primary, Pierotti, Livia, additional, Basterrechea, Mikel, additional, Chatzi, Leda, additional, Estarlich, Marisa, additional, Fernández-Somoano, Ana, additional, Fleisch, Abby F., additional, Gold, Diane R., additional, Julvez, Jordi, additional, Karakosta, Polyxeni, additional, Lertxundi, Aitana, additional, Lopez-Espinosa, Maria-Jose, additional, Mulder, Tessa A., additional, Korevaar, Tim I. M., additional, Oken, Emily, additional, Peeters, Robin P., additional, Rifas-Shiman, Sheryl, additional, Stephanou, Euripides, additional, Tardón, Adonina, additional, Tiemeier, Henning, additional, Vrijheid, Martine, additional, Vrijkotte, Tanja G. M., additional, Sunyer, Jordi, additional, and Guxens, Mònica, additional
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- 2019
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18. Identifying exceptional cystic fibrosis care services: combining statistical process control with focus groups
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MacNeill, Stephanie J, primary, Pierotti, Livia, additional, Mohammed, Mohammed A, additional, Wildman, Martin, additional, Boote, Jonathan, additional, Harrison, Steve, additional, Carr, Siobhán B, additional, Cullinan, Paul, additional, Elston, Caroline, additional, and Bilton, Diana, additional
- Published
- 2019
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19. Prenatal and postnatal exposure to air pollution and emotional and aggressive symptoms in children from 8 European birth cohorts
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Procesos psicológicos básicos y su desarrollo, Oinarrizko psikologia prozesuak eta haien garapena, Jorcano, Ainhoa, Lubczynska, Malgorzata J., Pierotti, Livia, Altug, Hicran, Ballester, Ferrán, Cesaroni, Giulia, El Marroun, Hanan, Fernandez Somoano, Ana, Freire, Carmen, Hanke, Wojciech, Hoek, Gerard, Ibarluzea Maurolagoitia, Jesús María, Iniguez, Carmen, Jansen, Pauline W., Lepeule, Johanna, Markevych, Iana, Polanska, Kinga, Porta, Daniela, Schikowski, Tamara, Slama, Remy, Standl, Marie, Tardón, Adonina, Vrijkotte, Tanja G. M., Von Berg, Andrea, Tiemeier, Henning, Sunyer, Jordi, Guxens, Mónica, Procesos psicológicos básicos y su desarrollo, Oinarrizko psikologia prozesuak eta haien garapena, Jorcano, Ainhoa, Lubczynska, Malgorzata J., Pierotti, Livia, Altug, Hicran, Ballester, Ferrán, Cesaroni, Giulia, El Marroun, Hanan, Fernandez Somoano, Ana, Freire, Carmen, Hanke, Wojciech, Hoek, Gerard, Ibarluzea Maurolagoitia, Jesús María, Iniguez, Carmen, Jansen, Pauline W., Lepeule, Johanna, Markevych, Iana, Polanska, Kinga, Porta, Daniela, Schikowski, Tamara, Slama, Remy, Standl, Marie, Tardón, Adonina, Vrijkotte, Tanja G. M., Von Berg, Andrea, Tiemeier, Henning, Sunyer, Jordi, and Guxens, Mónica
- Abstract
Background: The association between air pollution exposure and emotional and behavioural problems in children is unclear. We aimed to assess prenatal and postnatal exposure to several air pollutants and child's depressive and anxiety symptoms, and aggressive symptoms in children of 7-11 years. Methods: We analysed data of 13182 children from 8 European population-based birth cohorts. Concentrations of nitrogen dioxide (NO2), nitrogen oxides (NOx), particulate matter (PM) with diameters of <= 10 mu m (PM10), <= 2.5 mu m (PM2.5), and between 10 and 2.5 mu m (PMcoarse), the absorbance of PM2.5 filters (PM(2.5)abs), and polycyclic aromatic hydrocarbons (PAHs) were estimated at residential addresses of each participant. Depressive and anxiety symptoms and aggressive symptoms were assessed at 7-11 years of age using parent reported tests. Children were classified in borderline/clinical range or clinical range using validated cut offs. Region specific models were adjusted for various socio-economic and lifestyle characteristics and then combined using random effect meta-analysis. Multiple imputation and inverse probability weighting methods were applied to correct for potential attrition bias. Results: A total of 1896 (14.4%) children were classified as having depressive and anxiety symptoms in the borderline/clinical range, and 1778 (13.4%) as having aggressive symptoms in the borderline/clinical range. Overall, 1108 (8.4%) and 870 (6.6%) children were classified as having depressive and anxiety symptoms, and aggressive symptoms in the clinical range, respectively. Prenatal exposure to air pollution was not associated with depressive and anxiety symptoms in the borderline/clinical range (e.g. OR 1.02 [95%CI 0.95 to 1.10] per 10 mu g/m(3) higher NO2) nor with aggressive symptoms in the borderline/clinical range (e.g. OR 1.04 [95%CI 0.96 to 1.12] per 10 mu g/m(3) higher NO2). Similar results were observed for the symptoms in the clinical range, and for postnatal exposures t
- Published
- 2019
20. Air Pollution Exposure during Pregnancy, Depression/Anxiety Symptoms, and Conduct/Aggressive Problems in Children in Eight European Cohort Studies
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Jorcano, Ainhoa, primary, Pierotti, Livia, additional, Lubczynska, Malgorzata Joanna, additional, Jerrett, Michael, additional, Vrijkotte, Tania, additional, Tiemeier, Henning, additional, Hillegers, Manon, additional, Nawrot, Tim, additional, Saenen, Nelly, additional, Sugiri, Dorothee, additional, Standl, Marie, additional, Polanska, Kinga, additional, Hanke, Wojciech, additional, Lepeule, Johanna, additional, Slama, Remy, additional, Porta, Daniela, additional, Cesaroni, Giulia, additional, Tardon, Adonina, additional, Ibarluzea, Jesús, additional, Iñiguez, Carmen, additional, Freire, Carmen, additional, Hoek, Gerard, additional, Sunyer, Jordi, additional, Brunekreef, Bert, additional, and Guxens, Monica, additional
- Published
- 2018
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21. Traffic-related air pollution and solid organ transplant failure in Great Britain: A retrospective cohort study
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Pierotti, Livia, primary, Schofield, Susie J., additional, Collett, Dave, additional, Fecht, Daniela, additional, De Hoogh, Kees, additional, Hansell, Anna L., additional, Dark, John, additional, and Cullinan, Paul, additional
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- 2018
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22. A Comparison of Habits and Perceptions Towards Cycling in Warsaw
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Pierotti, Livia, primary, Iwińska, Katarzyna, additional, Blicharska, Malgorzata, additional, Tainio, Marko, additional, and de Nazelle, Audrey, additional
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- 2017
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23. Behaviour Change Towards Cycling in 7 Case Study Cities
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Boig, Ester Anaya, primary, de Nazelle, Audrey, additional, Götschi, Thomas, additional, Gerike, Regine, additional, Pierotti, Livia, additional, Kahlmeier, Sonja, additional, Cole-Hunter, Tom, additional, Nieuwenhuijsen, Mark, additional, Panis, Luc Int, additional, Rojas-Rueda, David, additional, and Avila-Palencia, Ione, additional
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- 2017
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24. Traffic Related Air Pollution and Transplant Failure
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Pierotti, Livia, primary, Collet, David, additional, Schofield, Susie, additional, Fecht, Daniella, additional, De Hoogh, K.K., additional, and Cullinan, Paul, additional
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- 2017
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25. Building and Testing an Evaluation Model of the Impact of Cycling Policies
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Boig, Ester Anaya, primary, de Nazelle, Audrey, additional, Götschi, Thomas, additional, Gerike, Regine, additional, Pierotti, Livia, additional, Kahlmeier, Sonja, additional, Cole-Hunter, Tom, additional, Nieuwenhuijsen, Mark, additional, Int Panis, Luc, additional, Rojas-Rueda, David, additional, and Avila-Palencia, Ione, additional
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- 2017
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26. Traffic related air pollution and transplant failure
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Pierotti, Livia, primary, Collet, Dave, additional, Schofield, Susie, additional, Fecht, Daniella', additional, De Hoogh, Kees, additional, Hansell, Anna, additional, and Cullinan, Paul, additional
- Published
- 2016
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27. Traffic-related air pollution and transplant failure in the UK
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Fecht*, Daniela, primary, Pierotti, Livia, additional, Collet, David, additional, Schofield, Susie, additional, De Hoogh, Kees, additional, Hansell, Anna L, additional, and Cullinan, Paul, additional
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- 2016
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28. 2092 - Building and Testing an Evaluation Model of the Impact of Cycling Policies
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Boig, Ester Anaya, de Nazelle, Audrey, Götschi, Thomas, Gerike, Regine, Pierotti, Livia, Kahlmeier, Sonja, Cole-Hunter, Tom, Nieuwenhuijsen, Mark, Int Panis, Luc, Rojas-Rueda, David, and Avila-Palencia, Ione
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- 2017
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29. 2210 - Traffic Related Air Pollution and Transplant Failure
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Pierotti, Livia, Collet, David, Schofield, Susie, Fecht, Daniella, De Hoogh, K.K., and Cullinan, Paul
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- 2017
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30. 2129 - A Comparison of Habits and Perceptions Towards Cycling in Warsaw
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Pierotti, Livia, Iwińska, Katarzyna, Blicharska, Malgorzata, Tainio, Marko, and de Nazelle, Audrey
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- 2017
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31. 2091 - Behaviour Change Towards Cycling in 7 Case Study Cities
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Boig, Ester Anaya, de Nazelle, Audrey, Götschi, Thomas, Gerike, Regine, Pierotti, Livia, Kahlmeier, Sonja, Cole-Hunter, Tom, Nieuwenhuijsen, Mark, Panis, Luc Int, Rojas-Rueda, David, and Avila-Palencia, Ione
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- 2017
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32. Prenatal and postnatal exposure to air pollution and emotional and aggressive symptoms in children from 8 European birth cohorts
- Author
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Jorcano, Ainhoa, Małgorzata J. Lubczyńska, Pierotti, Livia, Altug, Hicran, Ballester, Ferran, Cesaroni, Giulia, Marroun, Hanan El, Fernández-Somoano, Ana, Freire, Carmen, Hanke, Wojciech, Hoek, Gerard, Ibarluzea, Jesús, Iñiguez, Carmen, Jansen, Pauline W., Lepeule, Johanna, Markevych, Iana, Polańska, Kinga, Porta, Daniela, Schikowski, Tamara, Slama, Remy, Standl, Marie, Adonina Tardon, Vrijkotte, Tanja G.M., Berg, Andrea Von, Tiemeier, Henning, Sunyer, Jordi, and Mònica Guxens
- Subjects
3. Good health - Abstract
Environment International 131, 104927 (2019)
33. Prenatal and postnatal exposure to air pollution and emotional and aggressive symptoms in children from 8 European birth cohorts
- Author
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Jorcano, Ainhoa, Lubczyńska, Małgorzata J., Pierotti, Livia, Altug, Hicran, Ballester, Ferran, Cesaroni, Giulia, El Marroun, Hanan, Fernández-Somoano, Ana, Freire, Carmen, Hanke, Wojciech, Hoek, Gerard, Ibarluzea, Jesús, Iñiguez, Carmen, Jansen, Pauline W., Lepeule, Johanna, Markevych, Iana, Polańska, Kinga, Porta, Daniela, Schikowski, Tamara, Slama, Remy, Standl, Marie, Tardon, Adonina, Vrijkotte, Tanja G. M., von Berg, Andrea, Tiemeier, Henning, Sunyer, Jordi, and Guxens, Mònica
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3. Good health
34. Estimated whole-brain and lobe-specific radiofrequency electromagnetic fields doses and brain volumes in preadolescents
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Cabré-Riera, Alba, El Marroun, Hanan, Muetzel, Ryan, Van Wel, Luuk, Liorni, Ilaria, Thielens, Arno, Birks, Laura E., Pierotti, Livia, Huss, Anke, Joseph, Wout, Wiart, Joe, Capstick, Myles, Hillegers, Manon, Vermeulen, Roel, Cardis, Elisabeth, Vrijheid, Martine, White, Tonya, Röösli, Martin, Tiemeier, Henning, and Guxens, Mònica
- Subjects
animal structures ,Wireless technology ,Telecommunications ,Radio waves ,Brain ,Neuroimaging ,Electromagnetic fields ,Child development ,Cell phone use ,3. Good health ,Telephone - Abstract
Objective To assess the association between estimated whole-brain and lobe-specific radiofrequency electromagnetic fields (RF-EMF) doses, using an improved integrated RF-EMF exposure model, and brain volumes in preadolescents at 9–12 years old. Methods Cross-sectional analysis in preadolescents aged 9–12 years from the Generation R Study, a population-based birth cohort set up in Rotterdam, The Netherlands (n = 2592). An integrated exposure model was used to estimate whole-brain and lobe-specific RF-EMF doses (mJ/kg/day) from different RF-EMF sources including mobile and Digital Enhanced Cordless Telecommunications (DECT) phone calls, other mobile phone uses than calling, tablet use, laptop use, and far-field sources. Whole-brain and lobe-specific RF-EMF doses were estimated for all RF-EMF sources together (i.e. overall) and for three groups of RF-EMF sources that lead to a different pattern of RF-EMF exposure. Information on brain volumes was extracted from magnetic resonance imaging scans. Results Estimated overall whole-brain RF-EMF dose was 84.3 mJ/kg/day. The highest overall lobe-specific dose was estimated in the temporal lobe (307.1 mJ/kg/day). Whole-brain and lobe-specific RF-EMF doses from all RF-EMF sources together, from mobile and DECT phone calls, and from far-field sources were not associated with global, cortical, or subcortical brain volumes. However, a higher whole-brain RF-EMF dose from mobile phone use for internet browsing, e-mailing, and text messaging, tablet use, and laptop use while wirelessly connected to the internet was associated with a smaller caudate volume. Conclusions Our results suggest that estimated whole-brain and lobe-specific RF-EMF doses were not related to brain volumes in preadolescents at 9–12 years old. Screen activities with mobile communication devices while wirelessly connected to the internet lead to low RF-EMF dose to the brain and our observed association may thus rather reflect effects of social or individual factors related to these specific uses of mobile communication devices. However, we cannot discard residual confounding, chance finding, or reverse causality. Further studies on mobile communication devices and their potential negative associations with brain development are warranted, regardless whether associations are due to RF-EMF exposure or to other factors related to their use., Environment International, 142, ISSN:0160-4120, ISSN:1873-6750
35. Estimated whole-brain and lobe-specific radiofrequency electromagnetic fields doses and brain volumes in preadolescents
- Author
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Cabré-Riera, Alba, Marroun, Hanan El, Muetzel, Ryan, van Wel, Luuk, Liorni, Ilaria, Thielens, Arno, Birks, Laura Ellen, Pierotti, Livia, Huss, Anke, Joseph, Wout, Wiart, Joe, Capstick, Myles, Hillegers, Manon, Vermeulen, Roel, Cardis, Elisabeth, Vrijheid, Martine, White, Tonya, Röösli, Martin, Tiemeier, Henning, and Guxens, Mònica
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3. Good health
36. Identifying exceptional cystic fibrosis care services: combining statistical process control with focus groups
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MacNeill SJ, Pierotti L, Mohammed MA, Wildman M, Boote J, Harrison S, Carr SB, Cullinan P, Elston C, and Bilton D
- Abstract
Background: The Cystic Fibrosis (CF) Registry collects clinical data on all patients attending specialist CF centres in the UK. These data have been used to make comparisons between centres on key outcomes such as forced expiratory volume in 1 second (FEV
1 ) using simple rankings, which promote the assumption that those with the highest measures provide ‘better’ care., Objectives: To explore whether or not using statistical ‘process control’ charts that move away from league tables and adjusting for case mix (age, where appropriate; sex; CF genotype; pancreatic sufficiency; and socioeconomic status) could identify exceptional CF care services in terms of clinically meaningful outcomes. Then, using insight from patients and clinicians on what structures, processes and policies are necessary for delivering good CF care, to explore whether or not care is associated with observed differences in outcomes., Design: Cross-sectional analyses., Setting: Specialist CF centres in the UK., Participants: Patients aged ≥ 6 years attending specialist CF centres and clinicians at these centres., Main Outcome Measures: FEV1 % predicted., Data Sources: Annual reviews taken from the UK CF Registry (2007–15)., Results: We studied FEV1 in many different ways and in different periods. In our analyses of both adult and paediatric centres, we observed that some centres showed repeated evidence of ‘special-cause variation’, with mean FEV1 being greater than the mean in some cases and lower than the mean in others. Some of these differences were explained by statistical adjustment for different measures of case mix, such as age, socioeconomic status, genotype and pancreatic sufficiency. After adjustment, there was some remaining evidence of special-cause variation for some centres. Our data at these centres suggest that there may be an association with the use of intravenous antibiotics. Workshops and focus groups with clinicians at paediatric and adult centres identified a number of structures, processes and policies that were felt to be associated with good care. From these, questionnaires for CF centre directors were developed and disseminated. However, the response rate was low, limiting the questionnaires’ use. Focus groups with patients to gain their insights into what is necessary for the delivery of good care identified themes similar to those identified by clinicians, and a patient questionnaire was developed based on these insights., Limitations: Our data analyses suggest that differences in intravenous antibiotic usage may be associated with centre-level outcomes; this needs to be explored further in partnership with the centres. Our survey of centre directors yielded a low response, making it difficult to gain useful knowledge to inform further discussions with sites., Conclusions: Our findings confirm that the CF Registry can be used to identify differences in clinical outcomes between centres and that case mix might explain some of these differences. As such, adjustment for case mix is essential when trying to understand how and why centres differ from the mean., Future Work: Future work will involve exploring with clinicians how care is delivered so that we can understand associations between care and outcomes. Patients will also be asked for their perspectives on the care they receive., Funding: The National Institute for Health Research Health Services and Delivery Research programme., (Copyright © Queen’s Printer and Controller of HMSO 2019. This work was produced by MacNeill et al. under the terms of a commissioning contract issued by the Secretary of State for Health and Social Care. This issue may be freely reproduced for the purposes of private research and study and extracts (or indeed, the full report) may be included in professional journals provided that suitable acknowledgement is made and the reproduction is not associated with any form of advertising. Applications for commercial reproduction should be addressed to: NIHR Journals Library, National Institute for Health Research, Evaluation, Trials and Studies Coordinating Centre, Alpha House, University of Southampton Science Park, Southampton SO16 7NS, UK.)- Published
- 2019
- Full Text
- View/download PDF
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