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En undersökning om fallolyckor med gångtrafikanter
Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
2013 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
A study of fall injuries involving pedestrians (English)
Abstract [en]

The purpose of this study was to investigate different relations between the damages of falls and background variables as well as the relation between the falls and the weather condition to later be able to use this report to expand the knowledge among workers at VTI about the pedestrian fall injuries. All of the fall injuries in the data that this study is based on have occurred in Sweden during the time period between January 2003 and December 2011.

To be able to answer the questions that this report is based on several statistical methods are used. The statistical methods that have been used during the making of this report are multiple linear regression, binary logistic regression, correlation analysis, association analysis and descriptive statistics as well as visual analysis.

The results of the study show that women around menopause age have a tendency to get a big increase in the amount of injuries compared to men of the same age. The study also suggests that men on average tend to have a lower level of injury compared to women.

Age also seems to affect both the amount of injuries and the level of injury negatively. The study suggests that the most likely reason for this is both that the intake of ”Fall Risk Increasing Medicine”, which is medicine that increases the drowsiness, is higher among older individuals as well as lower estrogen levels among older women and lower amount of testosterone among older men, which causes a loss of bone density in both sexes.

The weather seems to have a strong effect on how many injuries occur but also a noticeable effect on the scale of the injury. Snow and wind seems to cause an increased risk of falling as well as an increase of the injury scale.

Abstract [sv]

Syftet med denna studie var att undersöka om det finns samband mellan fallolyckor och bakgrundsvariabler och om sambandet mellan fall och väderförhållanden som senare skulle kunna användas för att öka kunskapen om fallolyckor bland tjänstemän på VTI. Samtliga fallolyckor i denna rapport har skett i Sverige under tidsperioden januari 2003 till december 2011.

För att kunna besvara de frågor som denna rapport har flera statistiska metoder använts. De statistiska metoder som använts i denna rapport är multipel linjär regression, binär logistisk regression, korrelationsanalys, associationsanalys och beskrivande statistik samt visuell analys.

Resultatet av denna studie visar att kvinnor runt klimakterieåldern har en tendens att drabbas av ett större antal skador jämfört med män i samma ålder. Studien tyder också på att män i genomsnitt tycks drabbas av mindre allvarliga skador jämfört med kvinnor.

Även åldern påverkar allvarligheten av skadorna och antalet skador negativt. Rapporten antyder att de mest sannolika anledningarna till detta är att fler äldre individer intar ”Fall Risk Increasing Medicine”, vilket är mediciner som ökar dåsigheten, än yngre, en minskning av östrogennivån bland äldre kvinnor och en minskning av testosteronnivån bland äldre män innebär att bendensiteten reduceras hos både män och kvinnor.

Vädret tycks ha en stark effekt på antalet skadade men även en noterbar effekt på allvarligheten av skadorna. Snö och vind tycks både öka risken för fall och allvarligheten av skadorna som personerna drabbas av vid fall.

Place, publisher, year, edition, pages
2013. , p. 41 + 5 bilagor
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:liu:diva-103047ISRN: LIU-IDA/STAT-A--14/001--SEOAI: oai:DiVA.org:liu-103047DiVA, id: diva2:686253
Subject / course
Program in Statistics and Data Analysis
Available from: 2014-01-20 Created: 2014-01-10 Last updated: 2014-01-20Bibliographically approved

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Probability Theory and Statistics

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