Literature DB >> 24854159

Factors predictive of subsequent injury in a longitudinal cohort study.

Helen Harcombe1, Sarah Derrett1, Ari Samaranayaka2, Gabrielle Davie1, Emma Wyeth2, Suzanne Wilson1.   

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. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

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Mesh:

Year:  2014        PMID: 24854159     DOI: 10.1136/injuryprev-2014-041183

Source DB:  PubMed          Journal:  Inj Prev        ISSN: 1353-8047            Impact factor:   2.399


  4 in total

1.  Impact of further injury on participation in work and activities among those previously injured: results from a New Zealand prospective cohort study.

Authors:  Suzanne J Wilson; Gabrielle Davie; Helen Harcombe; Emma H Wyeth; Ian D Cameron; Sarah Derrett
Journal:  Qual Life Res       Date:  2018-08-21       Impact factor: 4.147

2.  Two years after injury: prevalence and early post-injury predictors of ongoing injury-related problems.

Authors:  Suzanne J Wilson; Gabrielle Davie; Sarah Derrett
Journal:  Qual Life Res       Date:  2017-02-22       Impact factor: 4.147

3.  Estimating time to reinjury among Washington State injured workers by degree of permanent impairment: Using state wage data to adjust for time at risk.

Authors:  Jeanne M Sears; Beryl A Schulman; Deborah Fulton-Kehoe; Sheilah Hogg-Johnson
Journal:  Am J Ind Med       Date:  2020-11-18       Impact factor: 2.214

4.  Measurement Invariance of the WHODAS 2.0 in a Population-Based Sample of Youth.

Authors:  Melissa Kimber; Jürgen Rehm; Mark A Ferro
Journal:  PLoS One       Date:  2015-11-13       Impact factor: 3.240

  4 in total

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