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Spatial pattern of hospitalizations due to low impact falls in Portugal: exploratory analysis

dc.contributor.authorBessa, Ana Cristina
dc.contributor.authorAlves, Sandra Maria
dc.contributor.authorPina, Maria Fátima
dc.contributor.authorAlves, Sandra Maria
dc.date.accessioned2025-05-06T08:08:06Z
dc.date.available2025-05-06T08:08:06Z
dc.date.issued2017-09
dc.description.abstractLow impact falls result from low energy (falling from a chair or tripping on a mat), Female sex (up to 60/70%) and increase age (mean age of 80.3 years ± 8.7) are identified as risk factors falling. The continual increase of the elderly population worldwide poses as a problem to healthcare systems as theoretical there will be more individuals needing health assistance after suffering a fall. Despite extensive research and preventive efforts, accidental falls continues to be a massive health problem as in the elderly falls are a leading cause of severe injury requiring acute care or causing death. It is important to identify the spatial pattern to understand what is causing the increase and to plan awareness campaigns. We aim to identify the spatial pattern of hospitalizations due to low impact falls, in individuals over 65 years old in Continental Portugal (2000, 2007 and 2013).por
dc.identifier.citationBessa, A. C., Alves, S. M., & Pina, M. F. (2017). Spatial pattern of hospitalizations due to low impact falls in Portugal: Exploratory analysis. GEOMED 2017 - X international, interdisciplinary conference on spatial statistics, geographical epidemiology and geographical aspects of public health., 309–310. https://www.i3s.up.pt/geomed2017/Geomed%202017_BOOK.pdf
dc.identifier.urihttp://hdl.handle.net/10400.22/30028
dc.language.isoeng
dc.peerreviewedn/a
dc.publisheri3S - Instituto de Investigação e Inovação da Universidade do Porto
dc.relation.hasversionhttps://www.i3s.up.pt/geomed2017/Geomed%202017_BOOK.pdf
dc.rights.uriN/A
dc.titleSpatial pattern of hospitalizations due to low impact falls in Portugal: exploratory analysispor
dc.typeconference poster not in proceedings
dspace.entity.typePublication
oaire.citation.conferenceDate2017-09
oaire.citation.conferencePlacePorto
oaire.citation.endPage310
oaire.citation.startPage309
oaire.citation.titleGEOMED 2017 - X international, interdisciplinary conference on spatial statistics, geographical epidemiology and geographical aspects of public health.
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAlves
person.givenNameSandra Maria
person.identifier2571691
person.identifier.ciencia-idCF1F-D1D5-6BC1
person.identifier.orcid0000-0002-2318-7491
relation.isAuthorOfPublicationf91e1151-4aad-4af3-9fef-970548be5f0c
relation.isAuthorOfPublication.latestForDiscoveryf91e1151-4aad-4af3-9fef-970548be5f0c

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