OBJECTIVE: Heavy episodic drinking in college is an issue of major concern in our society. In the college setting, where alcohol misuse is prevalent, alcohol-related perceptions and automatic attentional biases may be important determinants in students' decisions to engage in risking drinking behaviors. The current study examined college students' attention to alcohol-related beverages in real time using ocular-imaging techniques. The authors hypothesized that alcohol-consumption characteristics such as quantity-frequency of alcohol consumption would predict ocular-imaging indices of attentional bias to alcohol-related images. METHOD: Twenty-six college students successfully completed questionnaires assessing basic demographics and alcohol-consumption characteristics, followed by an eye-tracking task in which they viewed pictorial stimuli consisting of photographs of alcohol-related scenes, household objects, or a combination of these items. RESULTS: Quantity-frequency index (QFI) of alcohol consumption was positively related to the percentage of initial ocular fixations on the alcohol-related items (r = .62, p = .001), whereas QFI negatively predicted the percentage of initial ocular fixations on the control images (r = -.60, p = .002). In addition, QFI positively predicted participants' dwell time on alcohol-related images (r = .57, p = .005), and negatively predicted dwell time on control images (r = -.41, p = .05). Age at first drink and days since last alcohol consumption were not related to eye-tracking metrics. CONCLUSIONS: Ocular-imaging methods are a valuable tool for use in the study of attentional bias to alcohol-related images in college drinkers. Further research is needed to determine the potential application of these methods to the prevention and treatment of alcohol misuse on college campuses.
OBJECTIVE: Heavy episodic drinking in college is an issue of major concern in our society. In the college setting, where alcohol misuse is prevalent, alcohol-related perceptions and automatic attentional biases may be important determinants in students' decisions to engage in risking drinking behaviors. The current study examined college students' attention to alcohol-related beverages in real time using ocular-imaging techniques. The authors hypothesized that alcohol-consumption characteristics such as quantity-frequency of alcohol consumption would predict ocular-imaging indices of attentional bias to alcohol-related images. METHOD: Twenty-six college students successfully completed questionnaires assessing basic demographics and alcohol-consumption characteristics, followed by an eye-tracking task in which they viewed pictorial stimuli consisting of photographs of alcohol-related scenes, household objects, or a combination of these items. RESULTS: Quantity-frequency index (QFI) of alcohol consumption was positively related to the percentage of initial ocular fixations on the alcohol-related items (r = .62, p = .001), whereas QFI negatively predicted the percentage of initial ocular fixations on the control images (r = -.60, p = .002). In addition, QFI positively predicted participants' dwell time on alcohol-related images (r = .57, p = .005), and negatively predicted dwell time on control images (r = -.41, p = .05). Age at first drink and days since last alcohol consumption were not related to eye-tracking metrics. CONCLUSIONS: Ocular-imaging methods are a valuable tool for use in the study of attentional bias to alcohol-related images in college drinkers. Further research is needed to determine the potential application of these methods to the prevention and treatment of alcohol misuse on college campuses.
Authors: Tony T Wells; Christopher G Beevers; Valerie S Knopik; John E McGeary Journal: Int J Neuropsychopharmacol Date: 2012-05-21 Impact factor: 5.176
Authors: Charlotte R Pennington; Adam W Qureshi; Rebecca L Monk; Katie Greenwood; Derek Heim Journal: Psychopharmacology (Berl) Date: 2019-07-08 Impact factor: 4.530