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4. LongITools: Dynamic longitudinal exposome trajectories in cardiovascular and metabolic noncommunicable diseases

Author

Ronkainen, Justiina, Nedelec, Rozenn, Atehortua, Angelica, Balkhiyarova, Zhanna, Cascarano, Anna, Ngoc Dang, Vien, Elhakeem, Ahmed, van Enckevort, Esther, Goncalves Soares, Ana, Haakma, Sido, Halonen, Miia, Heil, Katharina F., Heiskala, Anni, Hyde, Eleanor, Jacquemin, Bénédicte, Keikkala, Elina, Kerckhoffs, Jules, Klåvus, Anton, Kopinska, Joanna A., Lepeule, Johanna, Marazzi, Francesca, Motoc, Irina, Näätänen, Mari, Ribbenstedt, Anton, Rundblad, Amanda, Savolainen, Otto, Simonetti, Valentina, de Toro Eadie, Nina, Tzala, Evangelia, Ulrich, Anna, Wright, Thomas, Zarei, Iman, d’Amico, Enrico, Belotti, Federico, Brunius, Carl, Castleton, Christopher, Charles, Marie-Aline, Gaillard, Romy, Hanhineva, Kati, Hoek, Gerard, Holven, Kirsten B., Jaddoe, Vincent W. V., Kaakinen, Marika A., Kajantie, Eero, Kavousi, Maryam, Lakka, Timo, Matthews, Jason, Piano Mortari, Andrea, Vääräsmäki, Marja, Voortman, Trudy, Webster, Claire, Zins, Marie, Atella, Vincenzo, Bulgheroni, Maria, Chadeau-Hyam, Marc, Conti, Gabriella, Evans, Jayne, Felix, Janine F., Heude, Barbara, Järvelin, Marjo-Riitta, Kolehmainen, Marjukka, Landberg, Rikard, Lekadir, Karim, Parusso, Stefano, Prokopenko, Inga, de Rooij, Susanne R., Roseboom, Tessa, Swertz, Morris, Timpson, Nicholas, Ulven, Stine M., Vermeulen, Roel, Juola, Teija, Sebert, Sylvain, Sebert, Sylvain, Juola, Teija, Nedelec, Rozenn, Ronkainen, Justiina, Heiskala, Anni, Halonen, Miia, He, Yiyan, Miettunen, Jouko, Karhunen, Ville, Kajantie, Eero, Vääräsmäki, Marja, Keikkala, Elina, Nyberg, Pia, Serpi, Raisa, Felix, Janine, Jaddoe, Vincent, Marques, Irene, Moreira da Silva Santos, Susana, Kavousi, Maryam, Voortman, Trudy, Ginos, Bigina, Chadeau-Hyam, Marc, Järvelin, Marjo-Riitta, Tzala, Evangelia, De Toro, Nina, Wright, Thomas, Bodinier, Barbara, Dagnino, Sonia, Evans, Jayne, Webster, Claire, Kolehmainen, Marjukka, Hanhineva, Kati, Lakka, Timo, Savolainen, Otto, Zarei, Iman, Näätänen, Mari, Klåvus, Anton, Eloranta, Aino-Maija, Väistö, Juuso, Kårlund, Anna, Mikkonen, Santtu, Atalay, Merja, Atalay, Mustafa, Landberg, Rikard, Brunius, Carl, Ribbenstedt, Anton, Swertz, Morris, Hyde, Eleanor, Haakma, Sido, van Enckevort, Esther, Heude, Barbara, Charles, Marie-Aline, Zins, Marie, Lepeule, Johanna, Jacquemin, Bénédicte, Calas, Lucinda, Lequy-Flahault, Emeline, Lun Yuan, Wen, Seyve, Emie, Conti, Gabriella, Vermeulen, Roel, Hoek, Gerard, Kerckhoffs, Jules, Prokopenko, Inga, Kaakinen, Marika, Balkhiyarova, Zhanna, Ulrich, Anna, Roseboom, Tessa, De Rooij, Susanne, Motoc, Irina, Marie Ulven, Stine, Holven, Kirsten B., Matthews, Jason, Rundblad, Amanda, Das, Siddhartha, Timpson, Nicholas, Elhakeem, Ahmed, Luiza Goncalves Soares, Ana, Lekadir, Karim, Maria Cascarano, Anna, Maria Atehortua Labrador, Angélica, Ngoc Dang, Vien, Heil, Katharina F., Gallin, Catherine, Díaz, Oliver, Bulgheroni, Maria, Simonetti, Valentina, D’Amico, Enrico, Giani, Laura, Manzino, Fabrizio, Parusso, Stefano, Castleton, Christopher, Moimas, Diego, Atella, Vincenzo, Piano Mortari, Andrea, Kopinska, Joanna, Marazzi, Francesca, Giaccherini, Matilde, and Belotti, Federico

Published
2022
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18. Trends in age‐related disease burden and healthcare utilization.

Author

Atella, Vincenzo, Piano Mortari, Andrea, Kopinska, Joanna, Belotti, Federico, Lapi, Francesco, Cricelli, Claudio, and Fontana, Luigi

Subjects
*POPULATION aging, *DISEASE prevalence, *UTILIZATION review (Medical care), *MEDICAL care costs, *CHRONICALLY ill
Abstract

Aging is a strong risk factor for many chronic diseases. However, the impact of an aging population on the prevalence of chronic diseases and related healthcare costs are not known. We used a prevalence‐based approach that combines accurate clinical and drug prescription data from Health Search CSD‐LPD. This is a longitudinal observational data set containing computer‐based patient records collected by Italian general practitioners (GP) and up‐to‐date healthcare expenditures data from the SiSSI Project. The analysis is based on data collected by 900 GP on an unbalanced sample of more than 1 million patients aged 35+, observed in different time periods between 2005 and 2014. In 2014, 86% of the Italian adults older than 65 had at least one chronic condition, and 56.7% had two or more. Prevalence of multiple chronic diseases and healthcare utilization increased among older and younger adults between 2004 and 2014. Indeed, in the last 10 years, average number of prescriptions increased by approximately 26%, while laboratory and diagnostic tests by 27%. The average number of DDD prescribed increased with age in all the observed years (from 114 in 2005 to 119.9 in 2014 for the 35–50 age group and from 774.9 to 1,178.1 for the 81+ patients). The alarming rising trends in the prevalence of chronic disease and associated healthcare costs in Italy, as well as in many other developed countries, call for an urgent implementation of interventions that prevent or slow the accumulation of metabolic and molecular damage associated with multiple chronic disease. [ABSTRACT FROM AUTHOR]

Published
2019
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23. LongITools: Dynamic longitudinal exposome trajectories in cardiovascular and metabolic noncommunicable diseases.

Author

Ronkainen J, Nedelec R, Atehortua A, Balkhiyarova Z, Cascarano A, Ngoc Dang V, Elhakeem A, van Enckevort E, Goncalves Soares A, Haakma S, Halonen M, Heil KF, Heiskala A, Hyde E, Jacquemin B, Keikkala E, Kerckhoffs J, Klåvus A, Kopinska JA, Lepeule J, Marazzi F, Motoc I, Näätänen M, Ribbenstedt A, Rundblad A, Savolainen O, Simonetti V, de Toro Eadie N, Tzala E, Ulrich A, Wright T, Zarei I, d'Amico E, Belotti F, Brunius C, Castleton C, Charles MA, Gaillard R, Hanhineva K, Hoek G, Holven KB, Jaddoe VWV, Kaakinen MA, Kajantie E, Kavousi M, Lakka T, Matthews J, Piano Mortari A, Vääräsmäki M, Voortman T, Webster C, Zins M, Atella V, Bulgheroni M, Chadeau-Hyam M, Conti G, Evans J, Felix JF, Heude B, Järvelin MR, Kolehmainen M, Landberg R, Lekadir K, Parusso S, Prokopenko I, de Rooij SR, Roseboom T, Swertz M, Timpson N, Ulven SM, Vermeulen R, Juola T, and Sebert S

Abstract

The current epidemics of cardiovascular and metabolic noncommunicable diseases have emerged alongside dramatic modifications in lifestyle and living environments. These correspond to changes in our "modern" postwar societies globally characterized by rural-to-urban migration, modernization of agricultural practices, and transportation, climate change, and aging. Evidence suggests that these changes are related to each other, although the social and biological mechanisms as well as their interactions have yet to be uncovered. LongITools, as one of the 9 projects included in the European Human Exposome Network, will tackle this environmental health equation linking multidimensional environmental exposures to the occurrence of cardiovascular and metabolic noncommunicable diseases., Competing Interests: The authors declare no conflict of interest.The authors declare that they have no conflicts of interest with regard to the content of this report., (Copyright © 2021 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The Environmental Epidemiology. All rights reserved.)

Published
2021
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