scholarly journals Decision strategies while intoxicated relate to alcohol-impaired driving attitudes and intentions.

Author(s):  
Sara D. McMullin ◽  
Courtney A. Motschman ◽  
Laura E. Hatz ◽  
Denis M. McCarthy ◽  
Clintin P. Davis-Stober
2021 ◽  
Author(s):  
Sara D McMullin ◽  
Courtney Motschman ◽  
Laura Hatz ◽  
Denis McCarthy ◽  
Clintin Davis-Stober ◽  
...  

Objective: Approximately 28 million individuals engage in alcohol-impaired driving (AID) every year. This study investigated individuals’ AID decision making strategies under intoxication, their variability across the breath alcohol concentration curve (BrAC), and the association between strategy and AID attitudes and intentions. Method: 79 adults (23.9 years, 57% women) who drank alcohol ≥2 days per week and lived >2 miles away from their typical drinking locations completed an alcohol administration protocol and AID decision making task. AID attitudes, intentions, and behaviors were assessed repeatedly across the BrAC curve. Bayesian cognitive modeling identified decision strategies used by individuals on the AID decision making task, revealing whether alcohol consumption level and/or ride service cost factored into individuals’ decisions to drive while impaired or obtain a ride. Additional analyses tested whether AID attitudes and intentions were related to individuals’ decision strategies. Results: Two decision strategies were examined on the ascending and descending limb of the BrAC curve: compensatory (both consumption level and ride service cost factored into AID decisions) and non-compensatory (only consumption level factored into AID decisions). Switching to a compensatory strategy on the descending limb was associated with lower perceived intoxication, perceiving AID as less dangerous, and being willing to drive above the legal BrAC limit. Conclusions: Results suggest that risk for engaging in AID is higher for those using a cost-sensitive, compensatory strategy when making AID decisions under intoxication. Future research is needed to test whether AID countermeasures (e.g., subsidized ride services) are differentially effective according to decision strategy type.


2019 ◽  
Vol 6 (1) ◽  
pp. 64-71 ◽  
Author(s):  
Clintin P. Davis-Stober ◽  
Kayleigh N. McCarty ◽  
Denis M. McCarthy

Many negative outcomes associated with alcohol consumption stem from individual decision making, such as the decision whether or not to drive after drinking. Understanding biases in decision making as they relate to alcohol, and measuring variability in decision strategies across individuals, can be a tool for improving policy. For alcohol-related policy, both addiction and the acute effects of intoxication are potential sources of bias or heterogeneity in decision strategy, and we provide a brief primer on how they can affect decision making. We then discuss two alcohol policy domains, alcohol impaired driving and excessive consumption. We review potential implications of major findings in decision-making research for each of these domains, and point out how policy could take account of biases and variability in decision making.


2013 ◽  
Vol 58 (5) ◽  
pp. 1238-1250 ◽  
Author(s):  
Teri L. Martin ◽  
Patricia A. M. Solbeck ◽  
Daryl J. Mayers ◽  
Robert M. Langille ◽  
Yvona Buczek ◽  
...  

2006 ◽  
Vol 12 (6) ◽  
pp. 430-430
Author(s):  
K Bartell ◽  
C Goss ◽  
C DiGuiseppi

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