Title |
Accounting for the role of habit in behavioural strategies for injury prevention
|
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Published in |
International Journal of Injury Control and Safety Promotion, March 2008
|
DOI | 10.1080/17457300701794253 |
Pubmed ID | |
Authors |
Per Nilsen, Michael Bourne, Bas Verplanken |
Abstract |
The limited success of behavioural strategies in injury prevention has been attributed to failure to properly apply behaviour change models to intervention design and the explanation of safety behaviours. However, this paper contends that many health behaviour change interventions do not succeed because they fail to take into account the habitual quality of most health and safety-related behaviour; a more complete model of behaviour change needs to be based on a better understanding of the role of habit. The overall aim is to contribute to better understanding of behavioural strategies for injury prevention. When habits are weak, attitudes and intentions predict behaviours, but as behaviours turn into habits, they become better predictors of future behaviour than attitudes or intentions. Furthermore, where habits are strong, individuals are less likely to act on new information, evaluating counter-habitual information negatively. Integrating the concepts of strong and weak habits with upstream and downstream strategies, a framework is presented for tailoring strategies to the habit strength of the target behaviour. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 4% |
Italy | 2 | 4% |
Portugal | 1 | 2% |
Canada | 1 | 2% |
Unknown | 44 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 12 | 24% |
Researcher | 6 | 12% |
Student > Ph. D. Student | 6 | 12% |
Student > Bachelor | 3 | 6% |
Professor > Associate Professor | 3 | 6% |
Other | 9 | 18% |
Unknown | 11 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 8 | 16% |
Medicine and Dentistry | 8 | 16% |
Business, Management and Accounting | 5 | 10% |
Social Sciences | 4 | 8% |
Computer Science | 2 | 4% |
Other | 8 | 16% |
Unknown | 15 | 30% |