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Observations of caregiver supervision of children at beaches: identification of factors associated with high supervision.
- Source :
- Injury Prevention (1353-8047); Aug2011, Vol. 17 Issue 4, p244-249, 6p, 2 Charts, 2 Graphs
- Publication Year :
- 2011
-
Abstract
- Objective To identify independent factors associated with caregiver supervision levels at beaches. Methods Children (aged 1e14 years) engaged in beach play and their caregivers were observed at Australian beaches during SeptembereApril, 2008/09. Caregiver, child, and environmental factor data were collected and recorded on a validated observation instrument. The main outcome of interest was a continuous measure of supervision. After adjusting for potential clustering by beach/state, multivariable linear regression was used to identify independent factors associated with caregiver supervision. Results Four independent predictors of supervision and one interaction effect (child age by the caregiver and child position on beach) were identified. Caregivers who were supervising from a different position to where the child was playing were less likely to provide high supervision, as were older caregivers (>35 years) compared to younger caregivers (#34 years). Compared to children playing alone, children playingwith one, or two or more others were less likely to receive high supervision, and children aged 1e4 yearswere likely to receive higher supervision than older children. Conclusion This study provides new knowledge about underlying factors associated with the level of caregiver supervision in beach settings. Future studies should continue to explore independent predictors of supervision so that effective programmes, which focus on caregiver supervision, can be targeted to address poor supervision practices. [ABSTRACT FROM AUTHOR]
- Subjects :
- PREVENTION of injury
CAREGIVERS
CHILD behavior
COMPARATIVE studies
CONCEPTUAL structures
CONFIDENCE intervals
FACTOR analysis
LONGITUDINAL method
MATHEMATICAL models
SCIENTIFIC observation
REGRESSION analysis
RESEARCH funding
STATISTICS
SUPERVISION of employees
SWIMMING
U-statistics
THEORY
DATA analysis software
CHILDREN
Subjects
Details
- Language :
- English
- ISSN :
- 13538047
- Volume :
- 17
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Injury Prevention (1353-8047)
- Publication Type :
- Academic Journal
- Accession number :
- 65301422
- Full Text :
- https://doi.org/10.1136/ip.2010.031062