Eric A Thrailkill1, Michael DeSarno2, Stephen T Higgins3. 1. Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; Department of Psychological Science, University of Vermont, Burlington, VT, USA; Department of Psychiatry, University of Vermont, Burlington, VT, USA. Electronic address: eric.thrailkill@uvm.edu. 2. Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; Department of Biomedical Statistics, University of Vermont, Burlington, VT, USA. 3. Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; Department of Psychological Science, University of Vermont, Burlington, VT, USA; Department of Psychiatry, University of Vermont, Burlington, VT, USA.
Abstract
BACKGROUND: Cigarette smoking is among the leading preventable causes of global morbidity and mortality. We aimed to determine whether individual differences in loss aversion, a bias in decision-making wherein losses are valued greater than gains, predicts smoking and other addiction risk. METHODS: We recruited current daily cigarette smokers (n = 181; > 10 cigarettes per day) and never-smokers (n = 237; < 100 cigarettes lifetime) from the United States using Amazon Mechanical Turk. Groups were matched on gender, educational attainment, and age. All completed items related to current cigarette smoking, alcohol use, other drug use, sleep problems, and depressed mood, and task-based measures of loss aversion and delay discounting, a decision-making bias associated with cigarette smoking. RESULTS: Smokers were less loss averse than never-smokers (F(1, 411) = 24.19, η2 = 0.02, p < .0001) even after accounting for delay discounting (F(1, 410) = 20.53, η2 = 0.02, p < .0001). Loss aversion was also a significant independent risk factor for alcohol (F(1, 410) = 21.47, η2 = 0.02, p < .0001) and other drug use (F(1, 410) = 54.12, η2 = 0.04, p < .0001), although not other behavioral-health conditions (i.e., sleep disturbance, depressed mood). Further analyses revealed that co-occurring low loss aversion and high delay discounting were independently associated with greater risk for all patterns of substance use. CONCLUSIONS: Loss aversion was associated with current cigarette smoking and other substance use patterns independent of delay discounting. Loss aversion may warrant attention as a protective factor and potential target for preventive intervention for substance use and addiction. Published by Elsevier B.V.
BACKGROUND: Cigarette smoking is among the leading preventable causes of global morbidity and mortality. We aimed to determine whether individual differences in loss aversion, a bias in decision-making wherein losses are valued greater than gains, predicts smoking and other addiction risk. METHODS: We recruited current daily cigarette smokers (n = 181; > 10 cigarettes per day) and never-smokers (n = 237; < 100 cigarettes lifetime) from the United States using Amazon Mechanical Turk. Groups were matched on gender, educational attainment, and age. All completed items related to current cigarette smoking, alcohol use, other drug use, sleep problems, and depressed mood, and task-based measures of loss aversion and delay discounting, a decision-making bias associated with cigarette smoking. RESULTS: Smokers were less loss averse than never-smokers (F(1, 411) = 24.19, η2 = 0.02, p < .0001) even after accounting for delay discounting (F(1, 410) = 20.53, η2 = 0.02, p < .0001). Loss aversion was also a significant independent risk factor for alcohol (F(1, 410) = 21.47, η2 = 0.02, p < .0001) and other drug use (F(1, 410) = 54.12, η2 = 0.04, p < .0001), although not other behavioral-health conditions (i.e., sleep disturbance, depressed mood). Further analyses revealed that co-occurring low loss aversion and high delay discounting were independently associated with greater risk for all patterns of substance use. CONCLUSIONS: Loss aversion was associated with current cigarette smoking and other substance use patterns independent of delay discounting. Loss aversion may warrant attention as a protective factor and potential target for preventive intervention for substance use and addiction. Published by Elsevier B.V.
Authors: Christina S Meade; Merideth Addicott; Andrea L Hobkirk; Sheri L Towe; Nan-Kuei Chen; Sriramkumar Sridharan; Scott A Huettel Journal: Addict Biol Date: 2017-07-06 Impact factor: 4.280