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Factors predictive of subsequent injury in a longitudinal cohort study.
- Source :
-
Injury Prevention (1353-8047) . Dec2014, Vol. 20 Issue 6, p393-400. 8p. 4 Charts. - Publication Year :
- 2014
-
Abstract
- Objectives: The aims are to: (1) Determine the cumulative incidence of self-reported subsequent injury (of any anatomical site or injury type) occurring between 3 months and 12 months after a sentinel injury among participants in the Prospective Outcomes of Injury Study in New Zealand and (2) Examine the preinjury and injury-related predictors of subsequent injury. Methods: Prospective Outcomes of Injury Study participants (n=2282) were interviewed 3 months, 5 months and 12 months after a sentinel injury event. Data were collected about a range of preinjury and injury-related factors at the 3-month interview and about subsequent injury at the 5-month and 12-month interviews. Poisson regression modelling was used to determine the preinjury and injury-related predictors of subsequent injury. Results: Between the 3-month and 12 month interviews 28% of the participants reported at least one subsequent injury. Subsequent injury was 34% more likely among participants with a prior injury affecting them at the time of the sentinel injury compared with participants without a prior injury affecting them, and more likely among non-workers (31% more likely) and trade/manual workers (32% more likely) compared with professionals. Participants whose sentinel injury was due to assault were 43% more likely to report a subsequent injury compared with those whose sentinel injury was accidental. A subsequent injury was 23% less likely if the sentinel injury was a lower extremity fracture compared with other injuries, and 21% less likely if the sentinel injury event involved hospitalisation. Conclusions: Among general injury populations it may be possible to identify people at increased risk for subsequent injury. [ABSTRACT FROM AUTHOR]
- Subjects :
- *INJURY risk factors
*COMPARATIVE studies
*CONFIDENCE intervals
*FUNCTIONAL assessment
*INTERVIEWING
*LONGITUDINAL method
*QUESTIONNAIRES
*REGRESSION analysis
*SELF-evaluation
*MATHEMATICAL variables
*WORKERS' compensation
*WOUNDS & injuries
*BODY mass index
*RELATIVE medical risk
*DISEASE incidence
*SEVERITY of illness index
*DATA analysis software
*DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 13538047
- Volume :
- 20
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Injury Prevention (1353-8047)
- Publication Type :
- Academic Journal
- Accession number :
- 99626417
- Full Text :
- https://doi.org/10.1136/injuryprev-2014-041183