{"id":23958,"date":"2023-07-04T14:01:15","date_gmt":"2023-07-04T12:01:15","guid":{"rendered":"https:\/\/idibell.cat\/?p=23958"},"modified":"2023-07-04T14:04:39","modified_gmt":"2023-07-04T12:04:39","slug":"lidibell-participa-a-un-projecte-europeu-de-10me-per-prevenir-lobesitat-infantil","status":"publish","type":"post","link":"https:\/\/idibell.cat\/2023\/07\/lidibell-participa-a-un-projecte-europeu-de-10me-per-prevenir-lobesitat-infantil\/","title":{"rendered":"L\u2019IDIBELL participa a un projecte europeu de 10M\u20ac per prevenir l&#8217;obesitat infantil"},"content":{"rendered":"<p>Amb un pressupost de 10 milions d&#8217;euros i coordinat per Manuel Tena-Sempere, Empar Lurbe i Fernando Fern\u00e1ndez-Aranda, investigadors del CIBER \u2013 Centro de Investigaci\u00f3n Biom\u00e9dica en Red, el projecte europeu \u201cEprObes\u201d, que \u00e9s l&#8217;acr\u00f2nim de \u201c<strong>Prevenci\u00f3 de l&#8217;Obesitat al llarg de la vida mitjan\u00e7ant identificaci\u00f3 de factors de risc, pron\u00f2stic i intervenci\u00f3 en etapes primerenques<\/strong>\u201d, abordar\u00e0 el problema de salut p\u00fablica de l&#8217;obesitat i el seu context fent servir Intel\u00b7lig\u00e8ncia Artificial (IA).<\/p>\n<p>La utilitzaci\u00f3 de la IA \u00e9s un dels aspectes m\u00e9s nous del projecte, que incorpora l&#8217;an\u00e0lisi de dades i algorismes d&#8217;aprenentatge autom\u00e0tic per dissenyar eines de suport a la presa de decisions de metges i professionals de la salut relacionats amb la prevenci\u00f3 i el tractament del sobrep\u00e8s i l&#8217;obesitat. Amb una durada de 5 anys, reuneix cient\u00edfics de pa\u00efsos com Alemanya, Fran\u00e7a, Dinamarca, Turquia, Pol\u00f2nia, B\u00e8lgica o Est\u00f2nia.<\/p>\n<p>Per analitzar les dades de s\u00e8ries temporals de les cohorts de mostra i fer prediccions sobre el risc de desenvolupament d&#8217;obesitat en un per\u00edode espec\u00edfic s&#8217;utilitzaran models d&#8217;IA, com els de xarxes neurals artificials o recurrents o els de mem\u00f2ria estesa de curt-mig termini. \u00c0lex Bravo, investigador especialista en Machine Learning, incideix que rec\u00f3rrer a aquests models, que parteixen de dades descriptives com l&#8217;edat o el g\u00e8nere, \u201cpermetr\u00e0 predir traject\u00f2ries d&#8217;obesitat segons la probabilitat que els individus pateixin sobrep\u00e8s o obesitat\u201d.<\/p>\n<p>Per part seva, Manuel Tena-Sempere, coordinador del projecte i investigador principal del CIBEROBN i de la Universitat de C\u00f2rdova, assenyala que \u201cTot i els grans esfor\u00e7os en recerca, fins ara, els tractaments per a les formes m\u00e9s comunes d&#8217;obesitat han demostrat tenir una efic\u00e0cia limitada. Per aix\u00f2, les estrat\u00e8gies efectives de prevenci\u00f3, especialment en primeres etapes, s\u00f3n essencials per evitar al llarg de la vida l&#8217;espectre complet de complicacions metab\u00f2liques que provoca el sobrep\u00e8s\u201d.<\/p>\n<p>Per implementar mesures personalitzades contra l&#8217;obesitat i les seves comorbiditats, el projecte EprObes apunta a identificar els factors de risc i protectors i els mecanismes que es troben a la base de l&#8217;augment de pes excessiu en per\u00edodes cr\u00edtics de maduraci\u00f3 de les persones, especialment el per\u00edode periconcepcional \/gestacional i el desenvolupament primerenc de la inf\u00e0ncia i la pubertat\/adolesc\u00e8ncia.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Els factors determinants de l&#8217;obesitat i les seves especificitats<\/strong><\/p>\n<p>&#8220;Els compostos ambientals, les condicions familiars, l&#8217;estat metab\u00f2lic matern, el creixement fetal i els factors epigen\u00e8tics s\u00f3n factors determinants de l&#8217;obesitat, presents des d&#8217;etapes primerenques del desenvolupament hum\u00e0. El nostre projecte s&#8217;enfoca a implementar estrat\u00e8gies preventives des dels primers moments de la vida, amb l\u00b4objectiu d\u00b4abordar de manera integral aquest problema&#8221;, afirma Fernando Fern\u00e1ndez-Aranda, cap del grup de <a href=\"https:\/\/idibell.cat\/es\/investigacion\/area-de-neurociencias\/programa-de-neurociencias\/psiconeurobiologia-de-los-trastornos-de-la-conducta-alimentaria-y-conductas-adictivas\/\">Psiconeurobiologia dels Trastorns de la Conducta Aliment\u00e0ria i Conductes Addictives<\/a> de l\u00b4IDIBELL i psic\u00f2leg cl\u00ednic de l\u00b4Hospital Universitari de Bellvitge.<\/p>\n<p>Aix\u00ed mateix, l&#8217;estudi est\u00e0 concebut des d&#8217;una perspectiva comparativa entre sexes, que permetr\u00e0 comprendre millor com les hormones, el metabolisme, els rols de g\u00e8nere, les disparitats socials i altres factors poden interactuar i contribuir de manera espec\u00edfica a l&#8217;obesitat i les comorbilitats en cada sexe.<\/p>\n<p>El projecte tamb\u00e9 incorpora, de manera transversal, l&#8217;an\u00e0lisi de factors psicol\u00f2gics i socioecon\u00f2mics, especialment la salut mental i els trastorns de la conducta aliment\u00e0ria com a aspectes que incideixen i incrementen el risc d&#8217;obesitat, una problem\u00e0tica de salut p\u00fablica i de incid\u00e8ncia creixent en les poblacions de pa\u00efsos desenvolupats i en vies de desenvolupament.<\/p>\n<p>Per abastar millor el fenomen multicausal de l&#8217;obesitat, i especialment el per\u00edode crucial de la inf\u00e0ncia, el projecte EprObes es divideix en nou paquets de treball interconnectats, que inclouen estudis cl\u00ednics i precl\u00ednics, an\u00e0lisis mecan\u00edstics i moleculars, aix\u00ed com l&#8217;esmentat \u00fas d&#8217;eines bioinform\u00e0tiques i d&#8217;IA.<\/p>\n<p>En tot cas, totes les dades que s&#8217;utilitzaran a eprObes seran tractades amb els m\u00e0xims est\u00e0ndards i implementant la normativa aplicable a nivell europeu i a nivell nacional per cada entitat participant.<\/p>\n<p>La iniciativa, coordinada des del CIBER i la seva \u00e0rea de <a href=\"https:\/\/www.ciberobn.es\/\">Fisiopatologia de l&#8217;Obesitat i Nutrici\u00f3<\/a> (CIBEROBN), a part de Institut d&#8217;Investigaci\u00f3 Biom\u00e8dica de Bellvitge (<a href=\"https:\/\/idibell.cat\/\">IDIBELL<\/a>), tamb\u00e9 comptar\u00e0 amb la participaci\u00f3 d&#8217;institucions capdavanteres a Espanya com, entre d&#8217;altres, la Universitat de C\u00f2rdova (<a href=\"http:\/\/www.uco.es\/\">UCO<\/a>), la Fundaci\u00f3 per a la Investigaci\u00f3 Biom\u00e8dica de C\u00f2rdova (<a href=\"https:\/\/www.imibic.org\/fibico\/\">FIBICO<\/a>), el Consell Superior d&#8217;Investigacions Cient\u00edfiques (<a href=\"https:\/\/www.csic.es\/es\">CSIC<\/a>), o la Universitat de Val\u00e8ncia (<a href=\"https:\/\/www.uv.es\/\">UVEG<\/a>), a m\u00e9s de 18 organitzacions internacionals.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>El projecte europeu EprObes, que utilitza una metodologia basada en Intel\u00b7lig\u00e8ncia Artificial, estudiar\u00e0 com prevenir l&#8217;obesitat a trav\u00e9s de la identificaci\u00f3 primerenca de biomarcadors, factors de risc, pron\u00f2stic i intervenci\u00f3.<\/p>\n","protected":false},"author":8,"featured_media":23959,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center 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