Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/39853
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dc.contributor.authorDe Pauw, R.-
dc.contributor.authorClaessens, M.-
dc.contributor.authorGorasso, V.-
dc.contributor.authorDrieskens, S.-
dc.contributor.authorFAES, Christel-
dc.contributor.authorDevleesschauwer, B.-
dc.date.accessioned2023-03-27T12:47:06Z-
dc.date.available2023-03-27T12:47:06Z-
dc.date.issued2022-
dc.date.submitted2023-03-24T12:18:11Z-
dc.identifier.citationEUROPEAN JOURNAL OF PUBLIC HEALTH, 32 (Art N° ckac131.20)-
dc.identifier.urihttp://hdl.handle.net/1942/39853-
dc.description.abstracthighest mortality rate was in Serbia (OR = 2.15), followed by Italy (OR = 1.97), Pakistan (OR = 1.69) and France (OR = 1.55). Among the High-Income countries, the highest mortality rate was in Italy (OR = 3.71), the highest among the Upper-Middle-Income was in Serbia (OR = 2.15) and the highest among Low-Middle-Income was in Pakistan (OR = 1.69). Regarding NSTEMI, hospital admissions showed that Italy had the lowest value for with IRR = 0.59. Among countries, the meta-regression subgroups analysis, showed statistical difference (p < 0.001). Conclusions: Our meta-analysis may represent a robust snapshot that might help healthcare systems manage and assist an expected higher number of people coming to the hospitals for severe, post-acute cardiological issues in the future. Key messages: The study shows hospital admission and mortality, comparing pandemic period and pre-pandemic period in different countries. Epidemiological data suggests that one-fourth to one-third of MI patients, in large areas of the globe, during the COVID-19 pandemic in 2020, remained at home and did not have access to ED. Abstract citation ID: ckac131.207 Seroprevalence of SARS-CoV-2 before/after case zero-
dc.language.isoen-
dc.publisherOXFORD UNIV PRESS-
dc.titleFuture trends of overweight and obesity in Belgium using Bayesian age-period-cohort models-
dc.typeJournal Contribution-
dc.identifier.volume32-
local.format.pages2-
local.bibliographicCitation.jcatM-
dc.description.notesrobby.depauw@sciensano.be-
local.publisher.placeGREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND-
local.type.refereedRefereed-
local.type.specifiedMeeting Abstract-
local.bibliographicCitation.artnrckac131.20-
dc.identifier.isi000895463401447-
local.provider.typewosris-
local.description.affiliation[De Pauw, R.; Claessens, M.; Gorasso, V.; Drieskens, S.; Devleesschauwer, B.] Sciensano, Lifestyle & Chron Dis, Brussels, Belgium.-
local.description.affiliation[De Pauw, R.] Univ Ghent, Rehabil Sci, Ghent, Belgium.-
local.description.affiliation[Gorasso, V.] Univ Ghent, Publ Hlth, Ghent, Belgium.-
local.description.affiliation[Faes, C.] Univ Hasselt, Math, Hasselt, Belgium.-
local.description.affiliation[Devleesschauwer, B.] Univ Ghent, Vet Sci, Ghent, Belgium.-
local.uhasselt.internationalno-
item.contributorDe Pauw, R.-
item.contributorClaessens, M.-
item.contributorGorasso, V.-
item.contributorDrieskens, S.-
item.contributorFAES, Christel-
item.contributorDevleesschauwer, B.-
item.fullcitationDe Pauw, R.; Claessens, M.; Gorasso, V.; Drieskens, S.; FAES, Christel & Devleesschauwer, B. (2022) Future trends of overweight and obesity in Belgium using Bayesian age-period-cohort models. In: EUROPEAN JOURNAL OF PUBLIC HEALTH, 32 (Art N° ckac131.20).-
item.fulltextWith Fulltext-
item.accessRightsRestricted Access-
crisitem.journal.issn1101-1262-
crisitem.journal.eissn1464-360X-
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