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Who Drowns? Encoding the Second Component of the 4W Model

Authors: Avramidis, Stathis; Butterly, Ronald; Llewellyn, David;

Who Drowns? Encoding the Second Component of the 4W Model

Abstract

The aim of the current study was to identify the casualty characteristics that contribute to drowning according to the 4W model (Avramidis, Butterly, & Llewellyn, 2007, 2009). Qualitative content analysis was used to analyze drowning incident videos (n = 41) and semistructured interviews of those involved in drowning incidents (n = 34). Results confirm that human activity in, on, and around an aquatic environment can lead to drowning, regardless of the casualty's type, gender, age, ethnicity, and area of residence. Males far outnumbered females as drowning victims. Younger persons were more likely to drown than were adults. Due to socioeconomic differences, Black people in our sample were likely to drown more often, while Whites who drowned were engaged in aquatic activities that lower socioeconomic individuals likely cannot afford or have access to. Nonswimmers, casualties who have lost consciousness, and nonresidents to specific aquatic environments also were the ones in the highest danger. Language: en

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold