Data
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft.title=Epidemiology of chronic ankle problems in the community dataset&rft.identifier=PMID:22575395&rft.publisher=The University of Sydney&rft.description= The epidemiology of chronic ankle problems in the community dataset is the output of an epidemiological study conducted in NSW.  A random sample of participants from NSW were recruited in order to measure the occurance rate of ankle injury in the community, and measure the impact of the those injuries on people's lives.  Data was collected by telephone interview. Information regarding participants' history of injury and/or impairment, and the impact on their health and lifestyle was recorded.  Transcripts were analysed using text files, SPSS and excel. The analysed data was coded and de-identified in order to enable sharing and re-use. For further information please refer to the associated publications. &rft.creator=Anonymous&rft.date=2012&rft.relation=0195-9131&rft.relation=PMID:22575395&rft.coverage=153.638745,-28.156192 140.999212,-28.156192 140.999212,-37.505032 153.638745,-37.505032 153.638745,-28.156192&rft_subject=CLINICAL SCIENCES&rft_subject=MEDICAL AND HEALTH SCIENCES&rft_subject=HUMAN MOVEMENT AND SPORTS SCIENCE&rft_subject=PUBLIC HEALTH AND HEALTH SERVICES&rft.type=dataset&rft.language=English Access the data

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Faculty of Health Sciences<br /> Cumberland Campus C42<br /> The University of Sydney<br /> PO Box 170<br /> Lidcombe NSW 1825<br /> AUSTRALIA



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Brief description

The epidemiology of chronic ankle problems in the community dataset is the output of an epidemiological study conducted in NSW.  A random sample of participants from NSW were recruited in order to measure the occurance rate of ankle injury in the community, and measure the impact of the those injuries on people's lives. 

Data was collected by telephone interview. Information regarding participants' history of injury and/or impairment, and the impact on their health and lifestyle was recorded.  Transcripts were analysed using text files, SPSS and excel. The analysed data was coded and de-identified in order to enable sharing and re-use.

For further information please refer to the associated publications.

Data time period: 2009 to 2011

This dataset is part of a larger collection

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153.63875,-28.15619 140.99921,-28.15619 140.99921,-37.50503 153.63875,-37.50503 153.63875,-28.15619

147.3189785,-32.830612

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Identifiers
  • Local : PMID:22575395