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The current study aims to obtain knowledge about the nature of the processes involved in Hazard Perception, using measurement techniques to separate and independently quantify these suspected subprocesses: Sensation, Situation Awareness (recognition, location and projection) and Decision-Making. It applies Signal Detection Theory analysis to Hazard Perception and Prediction Tasks. To enable the calculation of Signal Detection Theory parameters, video-recorded hazardous vs. quasi-hazardous situations were presented to the participants. In the hazardous situations it is necessary to perform an evasive action, for instance, braking or swerving abruptly, while the quasi-hazardous situations do not require the driver to make any evasive manoeuvre, merely to carry on driving at the same speed and following the same trajectory. A first Multiple Choice Hazard Perception and Prediction test was created to measure participants' performance in a What Happens Next? Task. The sample comprised 143 participants, 47 females and 94 males. Groups of non-offender drivers (learner, novice and experienced) and offender drivers (novice and experienced) were recruited. The Multiple Choice Hazard Perception and Prediction test succeeded in finding differences between drivers according to their driving experience.In fact, differences exist with regard to the level of hazard discrimination (d' prime) by drivers with different experience (learner, novice and experienced drivers) and profile (offenders and non-offenders) and these differences emerge from Signal Detection Theory analysis. In addition, it was found that experienced drivers show higher Situation Awareness than learner or novice drivers. On the other hand, although offenders do worse than non-offenders on the hazard identification question, they do just as well when their Situation Awareness is probed (in fact, they are as aware as non-offenders of what the obstacles on the road are, where they are and what will happen next). Nevertheless, when considering the answers participants provided about their degree of cautiousness, experienced drivers were more cautious than novice drivers, and non-offender drivers were more cautious than offender drivers. That is, a greater number of experienced and non-offender drivers chose the answer "I would make an evasive manoeuvre such as braking gradually".2

The aim of this work was to explore the effect of Proactive Listening to a Training Commentary, using the recently developed version of the Spanish Hazard Perception test. Firstly, 16 videos were used in the pre-test session in its short version, cut to black just before the hazard appearance. The What Happens Next Assessment (at the pre-test stage) generates expectations about the outcome of the traffic situation. Then, the training (8 minutes in length) uses the complete version of the same 16 videos, revealing the hazards unfolding. It involves listening to a voice with relevant information about where to allocate attention in the complex driving scene in order to recognise and anticipate the hazard successfully. A total of 121 participants were included in this study The sample consisted of learner, novice and experienced drivers, including re-offender and non-offender drivers. The participants were divided into 2 groups: a trained and an untrained group. Two assessment times were used: pre-test (16 videos) and post-test sessions (another 16 videos). The test presented a high internal consistency (Alpha = 0.875). This training shows significant positive effects for all types and groups of participants. No significant differences were found between the non-offender and the offender groups. Performance in gradual-onset hazard events can be improved after training but also by practice; however this training is essential and especially beneficial for training the ability to detect hazards that appear abruptly (which seems to be difficult to improve just by practice).

The aim of this study is to show how sedentary leisure activities and a decrease in hours of sleep interact to lead to an increase in the body mass index (BMI) in children. A random sample of 291 nine-year-old and ten-year-old schoolchildren from Asturias (Spain) was taken. A cross-sectional design was used, the children's weight and height were measured and an individual interview was carried out. Using path analysis, a model was tested in which bedtime, the number of hours spent sleeping and sedentary leisure activities were the independent variables and the BMI was the dependent variable. The results show that sedentary leisure activities and hours spent sleeping are predictors of a greater BMI in children. Moreover, the effect of the time spent sleeping is mediated by sedentary leisure activities. That is to say, it is those children who go to bed late and who use that extra time to watch the television or play with the computer that tend to have a greater BMI. Attention should be drawn to the importance of this fact and to the implications it may have for education and children's health.

Detecting danger in the driving environment is an indispensable task to guarantee safety which depends on the driver's ability to predict upcoming hazards. But does correct prediction lead to an appropriate response? This study advances hazard perception research by investigating the link between successful prediction and response selection. Three groups of drivers (learners, novices and experienced drivers) were recruited, with novice and experienced drivers further split into offender and non-offender groups. Specifically, this works aims to develop an improved Spanish Hazard Prediction Test and to explore the differences in Situation Awareness, (SA: perception, comprehension and prediction) and Decision-Making ("DM") among learners, younger inexperienced and experienced drivers and between driving offenders and non-offenders. The contribution of the current work is not only theoretical; the Hazard Prediction Test is also a valid way to test Hazard Perception. The test, as well as being useful as part of the test for a driving license, could also serve a purpose in the renewal of licenses after a ban or as a way of training drivers. A sample of 121 participants watched a series of driving video clips that ended with a sudden occlusion prior to a hazard. They then answered questions to assess their SA ("What is the hazard?" "Where is it located?" "What happens next?") and "DM" ("What would you do in this situation?"). This alternative to the Hazard Perception Test demonstrates a satisfactory internal consistency (Alpha=0.750), with eleven videos achieving discrimination indices above 0.30. Learners performed significantly worse than experienced drivers when required to identify and locate the hazard. Interestingly, drivers were more accurate in answering the "DM" question than questions regarding SA, suggesting that drivers can choose an appropriate response manoeuvre without a totally conscious knowledge of the exact hazard. AcknowledgmentsWe are grateful to the Spanish participants who volunteered for the tests as well as to the two anonymous reviewers whose comments enabled us to improve the manuscript and to our English editor Barbara Lamplugh for revising and improving the English. We are also indebted to the Junta de Andalucía (Proyecto Motriz P11-SEJ-7404), the BS-14-164 I+D+I Research project from the CEI-Biotic, University of Granada and the Spanish Government, MICINN (PSI2013-42729-P), all of whom gave us financial support. This research was supported by the Spanish Dirección General de Tráfico -DGT (0100DGT21263 and SPIP2015-01782) and the three driving schools in Granada (Autoescuelas la Victoria, Luna and Genil) from whom we obtained our sample of participants. We much appreciate their contribution to the study. We gratefully acknowledge financial support from the computational resources supplied by the Centro de Servicios de Informática y Redes de Comunicaciones (CSIRCUniversidad de Granada). Its design, data collection, analysis and interpretation were carried out independently of the f...

To show by use of path analysis how in children of 9 and 10 years of age the known relationship between breakfast and high body mass index (BMI) is mediated by sedentary leisure time activities. A random sample of 291 9-year-old and 10-year-old school children from the Principality of Asturias (Spain) was taken. A transversal design was used, their weight and height were measured and an individual standardized interview was carried out in which they were asked about their breakfast habits and the time they spent each week on sedentary leisure activities. Using path analysis, a model was tested in which breakfast habits and leisure time were the independent variables and the BMI was the dependent variable. The results showed that there was an inverse correlation between number of breakfasts and BMI and a direct correlation between the time spent on sedentary leisure activities and BMI. Path analysis showed that the relationship between the frequency with which breakfast was eaten and BMI was mediated by the time spent on sedentary leisure activities. The above appears to confirm the direct role played by failing to have breakfast in the pandemic of obesity as this habit tends to increase children's BMI. This relationship is, however, mediated by sedentary leisure. According to the data compiled, being overweight in children can only be prevented by modifying not just one of the habits that have been associated with it, but rather the whole group of habits as these appear to make up an obesogenic cluster in which sedentary leisure and not having breakfast are included.

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Despite depressive symptoms being very common among patients seeking treatment for cocaine dependence, few studies have examined the effects of depressive symptoms on cocaine outpatient treatment outcomes, and there is even less research in the context of Contingency Management (CM). The purpose of this study was to assess the main and interactive effects of co-occurring depressive symptoms on CM outcomes. Cocaine-dependent individuals (N = 108) were randomized to Community Reinforcement Approach (CRA) or CRA plus CM in two outpatient community clinical settings. Participants were categorized according to depression symptoms, self-reported by means of the BDI at treatment entry. Outcome measures included treatment retention and documented cocaine abstinence over a 6-month treatment period. Depressive symptoms were more commonly found in females and in unemployed participants, and were associated with more drug-related, social, and psychiatric problems at treatment entry. Individuals with baseline depressive symptoms had poorer treatment outcomes than patients without depressive symptoms. The addition of CM to CRA made the program more effective than with CRA alone, regardless of depressive symptoms. CM was associated with better abstinence treatment outcomes, while the interaction between unemployment and depressive symptoms was associated with negative retention treatment outcomes. This study supports the efficacy of CM for cocaine-dependent outpatients with and without depressive symptoms, and highlights its importance for improving treatment for unemployed and depressed cocaine-dependent individuals.