Fall-related injuries for three ages groups - Analysis of Swedish registry data 1999-2013.


Journal

Journal of safety research
ISSN: 1879-1247
Titre abrégé: J Safety Res
Pays: United States
ID NLM: 1264241

Informations de publication

Date de publication:
06 2020
Historique:
received: 15 06 2018
revised: 17 02 2019
accepted: 25 02 2020
entrez: 22 6 2020
pubmed: 22 6 2020
medline: 4 2 2021
Statut: ppublish

Résumé

The objective of this study was to analyze which factors (including factors pertaining to the individual, the household, and the local area) increase the risk of fall injuries for the three age groups with the highest risk for fall injuries in Sweden. The study combined longitudinal data covering the period 1999-2013 from several different official registries from Statistics Sweden as well as from the Swedish health care system and fitted the models to data using mixed model regressions. Three age groups had a markedly heightened risk for fall injuries: 1-3-year olds, 12-14 year olds, and the elderly (65+). The home was the most common location for fall injuries, as about 40% of all fall injuries occur in the home. Only for the elderly strong predictors for fall injuries were found, and these were: age, single household, and special housing. There is preventive potential in the special residences for the elderly and disabled. People living in these special residences make up a strongly selected group that needs extra safe environments. Our findings indicate that their needs are currently not meet. Practical applications: Design of special residences for the elderly and disabled should aim at reducing the consequences of falling.

Identifiants

pubmed: 32563386
pii: S0022-4375(20)30023-2
doi: 10.1016/j.jsr.2020.02.016
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

143-152

Informations de copyright

Copyright © 2020 National Safety Council and Elsevier Ltd. All rights reserved.

Auteurs

Hans Ekbrand (H)

University of Gothenburg, Box 100, SE-405 30 Gothenburg, Sweden. Electronic address: hans.ekbrand@gu.se.

Robert Ekman (R)

Chalmers University of Technology, SE-412 96 Gothenburg, Sweden. Electronic address: robert.ekman@chalmers.se.

Charlotta Thodelius (C)

Chalmers University of Technology, SE-412 96 Gothenburg, Sweden. Electronic address: chatho@chalmers.se.

Michael Möller (M)

Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

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Classifications MeSH