Using alcohol intoxication goggles (Fatal Vision® goggles) to detect alcohol related impairment in simulated driving

<p><b>Objective</b>: Fatal vision goggles (FVGs) are image-distorting equipment used within driver education programs to simulate alcohol-related impairment. However, there is no empirical evidence comparing the behavioral effects associated with wearing FVGs to alcohol intoxication. The purpose of this study was to determine the validity of FVGs in producing alcohol-related impairment in simulated driving.</p> <p><b>Methods</b>: Twenty-two healthy males (age: 23 ± 3 years, mean ± SD) participated in a placebo-controlled crossover design study involving 4 experimental trials. In each trial, participants completed a baseline level simulated driving task followed by an experimental driving task, involving one of 4 treatments: (1) a dose of alcohol designed to elicit 0.080% breath alcohol concentration (BrAC; AB), (2) an alcohol placebo beverage (PB), (3) FVG (estimated % blood alcohol concentration [BAC] 0.070–0.100+), and (4) placebo goggles (PGs). The driving tasks included 3 separate scenarios lasting ∼5 min each; these were a simple driving scenario, a complex driving scenario, and a hazard perception driving scenario. Selected lateral control parameters (standard deviation of lane position [SDLP]; total number of lane crossings [LCs]) and longitudinal control parameters (average speed; standard deviation of speed [SDSP]; distance headway; minimum distance headway) were monitored during the simple and complex driving scenarios. Latency to 2 different stimuli (choice reaction time [CRT]) was tested in the hazard perception driving scenario. Subjective ratings of mood and attitudes toward driving were also provided during each of the trials.</p> <p><b>Results</b>: Neither placebo treatment influenced simulated driving performance. Mean BrAC was 0.060 ± 0.010% at the time of driving on the AB trial. Lateral control: In the simple driving scenario, SDLP and LC were not affected under any of the experimental treatments. However, in the complex driving scenario, significantly greater SDLP was observed on both the FVG and AB trials compared to their respective baseline drives. LC increased significantly from baseline on the AB trial only. Longitudinal control: Speed was not affected by any of the experimental treatments; however, SDSP increased significantly from baseline on the FVG trial. A significant reduction in distance headway and minimum distance headway was detected on the FVG trial compared to baseline. Hazard perception: Neither AB nor FVG trials were influential on CRT. Subjective mood ratings were significantly altered on the AB and FVG trials compared to baseline and placebo conditions. Participants reported reduced willingness and ability to drive under the active treatments (AB and FVG) than the placebo treatments (PB and PG).</p> <p><b>Conclusions</b>: FVGs may have some utility in replicating alcohol-related impairment on specific driving performance measurements. Hence, the equipment may offer an alternative approach to researching the impact of alcohol intoxication on simulated driving performance among populations where the provision of alcohol would otherwise be unethical (e.g., prelicensed drivers).</p

Analysis of dietary intake, diet cost and food group expenditure from a 24-hour food record collected in a sample of Australian university students

Aim: University students often cite increased monetary cost as a major barrier to improved eating behaviours. Here, we examine food expenditure behaviours in a sample of Australian university students. Methods: Students (n = 147) collected and analysed a 24-hour food record to determine their food group and nutrient intakes, then costed the food and non-tap water beverages consumed in the amounts recorded. Diet cost and food group expenditure (absolute and relative to total diet cost) were calculated and compared across socio-demographic characteristics. Spearman's Rho correlations and partial correlations (controlling for energy intake) were also used to identify associations between diet cost and intake. Results: The median (IQR) 24-hour diet cost was $12.42 ($7.06). However, students who worked ≥20 h·wk had a higher diet cost than those who worked <20 h·wk (P =.002) or were unemployed (P =.002). Relative food group expenditure also differed by sex, employment status and whether special dietary requirements were reported (P's <.05). For instance, males reported spending a smaller relative amount on the fruit and vegetables food groups and a larger relative amount on discretionary choices than females (P's < 0.05). Higher diet costs were also associated with greater intakes of the fruit, vegetables and lean meat and alternatives food groups, protein, alcohol, water and calcium, and lower intakes of the grain foods food group and carbohydrate (P's <.05). Conclusions: These findings provide insight into university students' food expenditure behaviours and may assist health professionals to develop targeted strategies and tailored advice aimed at improving their dietary behaviours. −1 −

Consumption of a smoothie or cereal-based breakfast: Impact on thirst, hunger, appetite and subsequent dietary intake

Smoothies are a popular breakfast option. However, liquids may evoke weaker satiation than nutritionally comparable semi-solid and solid foods. This study examined consumption of cereal and milk (CM) or a nutritionally comparable fruit smoothie (FS) for breakfast on subsequent dietary behaviours, in a controlled laboratory setting. Twenty-five participants (age 25 ± 6 y) completed three trials, receiving either CM or FS for breakfast. Afterwards, participants remained isolated for 4 h with ad libitum access to foods/beverages. A repeat trial (CM or FS) allowed exploration of normal variability. Post-breakfast energy intake (EI) (CM = 1465(2436) vs. FS = 1787(3190) kJ, Median (IQR), p = 0.099), time to intake of next food/fluid (meal latency) (CM = 146(97) vs. FS = 180(100) min, p = 0.127), and subjective hunger, desire to eat, fullness and thirst ratings were similar between conditions (p’s > 0.05). The mean coefficient of variation for EI and meal latency were 41% and 21%, respectively. Consumption of a FS does not negatively impact acute EI and meal latency