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Identifying profiles of people aged 65 and over who fall at home and associated falling-induced injuries: The French ChuPADom study.
Torres, Marion J; Pédrono, Gaëlle; Rigou, Annabel; Carcaillon-Bentata, Laure; Beltzer, Nathalie.
Afiliação
  • Torres MJ; Direction des Maladies Non Transmissibles et Traumatismes, Santé Publique France, Unité Pathologies, Populations et Traumatismes, French National Public Health Agency, 12 rue du Val d'Osne, Saint-Maurice Cedex 94415, France. Electronic address: Marion.TORRES@santepubliquefrance.fr.
  • Pédrono G; Direction des Maladies Non Transmissibles et Traumatismes, Santé Publique France, Unité Pathologies, Populations et Traumatismes, French National Public Health Agency, 12 rue du Val d'Osne, Saint-Maurice Cedex 94415, France.
  • Rigou A; Direction des Maladies Non Transmissibles et Traumatismes, Santé Publique France, Unité Pathologies, Populations et Traumatismes, French National Public Health Agency, 12 rue du Val d'Osne, Saint-Maurice Cedex 94415, France.
  • Carcaillon-Bentata L; Direction des Maladies Non Transmissibles et Traumatismes, Santé Publique France, Unité Pathologies, Populations et Traumatismes, French National Public Health Agency, 12 rue du Val d'Osne, Saint-Maurice Cedex 94415, France.
  • Beltzer N; Direction des Maladies Non Transmissibles et Traumatismes, Santé Publique France, Unité Pathologies, Populations et Traumatismes, French National Public Health Agency, 12 rue du Val d'Osne, Saint-Maurice Cedex 94415, France.
Injury ; 53(7): 2511-2518, 2022 Jul.
Article em En | MEDLINE | ID: mdl-35184820
ABSTRACT

BACKGROUND:

Falls in older people are a major public health problem due to associated morbidity and mortality. Their origin is most often multifactorial. OBJECTIVE, DESIGN AND

SUBJECTS:

The objective of the present study, called ChuPaDom, was to identify patterns or profiles of home fallers (HF) - understood here as people who fall in their place of residence - among a sample of persons aged 65 and over who were hospitalized after a fall, and to study their association with falling-induced injuries using data from the ChuPAdom study.

METHODS:

Multiple correspondence analysis and Hierarchical Clustering on Principal Components were performed. Multivariate logistic regression was used to test for associations between HF profiles and injuries.

RESULTS:

The sample comprised 1467 patients (69% female, average age = 84.5 years). Five profiles were identified youngest seniors who took risks and fell from a raised height, youngest seniors with specific health problems who fell down a stairs, autonomous seniors who fell because they lost their balance or fell from their own height, dependent seniors who fell during low-intensity activities, very old seniors for whom missing data were frequent. Fractures were more frequent among the first profile than the last two profiles constituted with more dependent individuals (p < 0.001).

CONCLUSION:

These results highlight the heterogeneity of the circumstances in which older people fall. A greater understanding of these circumstances is needed to implement targeted prevention actions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acidentes por Quedas / Fraturas Ósseas Tipo de estudo: Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acidentes por Quedas / Fraturas Ósseas Tipo de estudo: Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male Idioma: En Ano de publicação: 2022 Tipo de documento: Article