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PURPOSE: To determine the influence of different genotypes of Ala307Thr and Asn680Ser FSHr polymorphisms on controlled ovarian stimulation (COS) outcome and pregnancy. METHODS: This study collected blood and physiological and clinical parameters of 517 Caucasian patients (Statistical power ≥ 80%) that underwent COS treatment. Genotypes of Ala307Thr and Asn680Ser polymorphisms were determined using PCR amplification followed by Bsu36I and BsrI digestion, respectively. RESULTS: Ala307Ala and Ser680Ser genotypes associated to worse parameters of COS outcome (preovulatory follicles P = 0.05, in both), justifying their lower pregnancy rate than Non-Ala307Ala, P = 0.01 and Non-Ser680Ser, P = 0.004, respectively or together, (P = 0.003). Within the Non-Ala307Ala group, Thr307Thr genotype showed higher number of fertilized oocytes (P = 0.04) and embryos (P = 0.01) than Non-Thr307Thr, but no influence on pregnancy rate. Ala307Ala and Ser680Ser patients doubled probability of non-pregnancy than Non-Ala307Ala (odds ratio = 2.0) and Non-Ser680Ser (odds ratio = 2.11), respectively. Ala307Ala and Ser680Ser genotypes tend to appear together (P < 0.0001), which increases the probability of non-pregnancy. CONCLUSIONS: Ala307Ala and Ser680Ser genotypes of 307 and 680 FSHr polymorphisms associate to worse COS outcome than its respective Non-Ala307Ala and Non-Ser680Ser. Within the Non-Ala307Ala genotypes, Thr307Thr, although shows higher Fertilized Oocytes and Embryos, do not influence on pregnancy rate. Ala307Ala and Ser680Ser genotypes double the probability of Non-Pregnancy than their respective Non-Ala307Ala and Non-Ser680Ser genotypes. Furthermore, the strong tendency of these genotypes to appear together worsens the probability of pregnancy in these patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10815-021-02276-0.

The aim of this study was to examine the effect of different environmental, mechanical and individual factors associated with fatalities and serious injuries caused by work traffic accidents among cargo and passenger transport drivers (CPTD) in Spain. For this cross-sectional study, national data on work traffic accidents collected in Spain during the last 3 years were analyzed through a regression modeling approach, in order to predict the severity of traffic crashes involving CPTD. Using binary logistic regression analyses, it was found that the type of road and accident, the meteorological, light and vehicle conditions, individual characteristics and risky driving behaviors significantly predict the risk of fatal work traffic accidents and serious injuries. These findings highlight the importance of combining organizational efforts with national road safety policies in order to generate a traffic safety culture among CPTD.

The last few years have brought about a series of substantial changes for mobility on two wheels, especially if the impact of the COVID-19 pandemic is considered as a relevant fact for transportation dynamics [1,2]. Social distancing recommendations have promoted the use of individual transportation systems instead of massive transportations means. Consequently, riding a bike for urban trips has become increasingly prevalent in many countries [3-5]. Besides an opportunity to make urban mobility more active and sustainable, this panorama poses the challenge to prevent that, along with its growing use, bicycle crashes ---and their consequences-might continue to increase. In this regard, recent studies have emphasized the role of individual differences and personality-related factors as potential issues influencing both cycling behaviors and traffic crashes suffered while riding [6,7].

Objective This study investigates the combined effect of the Effort/Reward Imbalance (ERI) model of stress and work intensification within the context of the COVID-19 pandemic on the psychological health (general and work-related fatigue, and psychological strain) of cargo drivers, one of the most demanded workforces during the first year of this pandemic. Methods For this cross-sectional research, the data provided by n = 1,013 professional drivers from the different 17 autonomous communities (regions) of Spain were analyzed. Participants answered a questionnaire composed of the short version of the Effort Reward Imbalance (ERI) questionnaire, a Work Intensification Scale (WIS) designed for this study, the fatigue subscale of the Checklist Individual Strength (CIS), the Need for Recovery after Work Scale (NFR), and the General Health Questionnaire (GHQ). Results Hierarchical regression analyses show that both (ERI and work intensification) models significantly predict driver’s fatigue and psychological strain. The effect of work intensification exists above and beyond the effect of effort/reward imbalance, which has been previously related to the safety performance of cargo drivers. Conclusions These findings suggest that the ERI and work intensification models can be complementarily used, especially in scenarios introducing substantial changes in the work environment, such as the COVID-19 crisis. Also, the results of this study support the need to intervene in the working conditions of professional drivers in order to improve their psychological health and well-being during both pandemic and post-pandemic times, as crisis-related management interventions are necessary to promote health and safety in professional drivers in potentially similar contexts in the future.

Sooner than later, the growing development of Autonomous Vehicles (AVs) will represent not only an imminent transformation of transportation dynamics, but also further advantages for their users, including many improvements in road crash prevention, efficiency and sustainability. However, different concerns and constraints may affect the intention of adopting this technology among its potential customers, especially for what concerns those constraints related to safety, viability and stability. The objective of this study was to examine the influence of perceived safety and value attributed to the AV in the drivers’ intention to use it, considering the drivers’ demographic factors, driving habits, interaction with information technologies and self-reported safety records (using conventional vehicles) as potential predictors. For this cross-sectional study, data from 1205 drivers of conventional vehicles were analyzed through a structural equation modeling (SEM) approach. The intention to use autonomous vehicles could be predicted through demographic and driving-related factors, as well as by the level of interaction of individuals with information and communication technologies (ITCs). It was also found that the perceived safety of AVs and their attributed value for transport and road safety mediate the associations between drivers’ features and the final intention of using (or not) autonomous vehicles. The results of this study suggest that perceived safety and the value attributed to AVs significantly influence the intention of adopting it. In other words, a deeper emphasis on the safety, causality prevention and efficiency-related benefits may strengthen the acceptance of this new technology and enhance its progressive inclusion in transport dynamics among drivers.

The Multidimensional Driving Style Inventory or MDSI constitutes, perhaps, the most relevant tool for measuring driving styles. Since its releasing in 2004, it has been applied worldwide to different samples of drivers, showing an important value and utility for road safety. However, empirical studies using the MDSI on professional drivers are scarce and, to the date, there is no validated version of the instrument in this workforce yet. Objectives: This study had two aims. First, to describe in detail the validation of the Taubman-Ben-Ari’s MDSI among professional drivers and, second, to test its convergent validity with other key relevant factors present in the work environment of this particular population: driving anger, job strain and occupational driving crashes. Method: The data used for this validation was gathered from a representative sample of 752 Colombian professional drivers and analyzed by means of competitive Confirmatory Factor Analyses (CFAs), assessing psychometric properties and obtaining an optimized structure for the instrument applied to active transportation workers. Results: The outcomes of this study suggest a clear factorial structure, adequate model fit, factorial weights, reliability and internal consistency, keeping the re-evaluated four-factor structure of the questionnaire: Reckless & Careless (F1); Anxious (F2); Angry & Hostile (F3); and Patient & Careful (F4). Conclusion: This applied research supports the hypothesis that the validated version of MDSI in professional drivers, together with further measures applied to other work environment factors, may play a relevant role in the improvement of driving safety and injury prevention for this vulnerable workforce from the perspective of occupational research in transportation.

Background. Work traffic accidents are an issue both in Spain and all over the world, and specific evidence on commuting accidents is scarce. Even though both industrial safety and welfare have been improved during the last decades, the commuting accidents rate is growing worldwide. Purpose. The aim of this study was to examine and describe the characteristics of commuting traffic crashes of Spanish professional drivers. Materials and methods. For this cross-sectional study, commuting accidents suffered by drivers during the last 12 years were analyzed. Crossed and heatmap-based analyses were performed in order to establish patterns and driver-based differences among commuting crashes. Results. Commuting crashes' features were found to be associated with demographic and job-related variables of professional drivers. Drivers' gender, time slots (peak/off-peak hours) and the specific hour of the event explained different trends in accident severity and characteristics. Conclusions. The results of this study suggest that commuting accidents involving professional drivers differ in demographic and situational issues from general and on-duty professional drivers' traffic crashes. Also, since in Spain commuting crashes are occupational accidents, more numerous and better actions should be taken in this regard, especially considering the association of professional drivers' accidents with fatigue and shift-working.

Transportation is a necessary process that requires not only adequate means, but also individual choices. And apparently, the recent boom of alternative modes of transportation has substantially changed people’s perceptions of cycling, as well as the reasons why they decide to use a bike. Nevertheless, people identify some motives that encourage this use together with the perceived risks and the discouraging factors which affect the choice of using a bike, thus making it important to explore all these elements in the light of the empirical evidence. The objective of this study was to explore and describe the encouraging and discouraging reasons behind the use of bikes among cyclists, together with the reasons behind their journeys and the relationship of these elements with their crash history. For this study, 1064 cyclists were asked to complete an electronic survey which gathered information on their cycling-related habits, perceptions and motives. The results show that physical health and fitness (38%), contribution to environmental sustainability (14%), economy (13%) and time saving (10%) were the most frequent factors which encouraged cycling. On the other hand, perceived crash risk (17%), adverse weather conditions (17%) and lack of safety (16%) were found to be the most relevant discouraging factors. Finally, participants who cycled with more regularity were found to be less prone to suffer cycling crashes. The findings of this study support that cycling is a choice based on both benefits and risks, and its perceived connection to health is highly prevalent among active cyclists. Furthermore, perceived risks which may discourage cycling are an issue that needs to be addressed by transport policies, in order to enhance the engagement of the population in this mode of transportation. Also, this study highlights the need to strengthen utility cycling (cycling for transport to and from places) as a way to integrate transportation within healthier practices and habits.

The growing rates of traffic crashes involving cyclists are currently recognized as a major public health and road safety concern. Furthermore, risky behaviors on the road and their precedent factors have been conceptualized as potential determinants for explaining, intervening and preventing traffic injuries of cyclists. Objectives This study aimed at examining whether individual factors and self-reported risky behaviors could explain the crash rates of cyclists in a period of 5 years. Methods A sample of 1064 cyclists was used, with a mean age of 32.83 years. Participants answered a survey assessing demographic data and information on risky behaviors, risk perception, knowledge of norms, and suffered cycling crashes. Results Using Structural Equation Models, it was found that crash rates in cyclists could be explained through risky behaviors, risk perception, knowledge of traffic norms and cycling intensity. Through a multi-group path model differentiating cyclists by age group, it was also found that cycling intensity has a differential impact on self-reported crashes in older (age > 25) and younger (age Conclusions This study suggests that risky behaviors mediate the relationship between the individual factors and the crash rates of cyclists, and that age exerts an important effect in the variation of the explanatory structure of the model. The design of educational tools would be useful for promoting not only the avoidance of risky behaviors, but also a generalized awareness on road safety issues. Practical applications This research provides an empirical precedent in the study of the impact of factors related to risky behaviors on the road and to safety outcomes of cyclists.

Cycling behavior remains a key issue for explaining several traffic causalities occurring every day. However, recent studies have shown how the assessment of the own safety-related behaviors on the road may substantially differ from how third parties assess them. Thus, the aim of this study was to evaluate the differences between cyclists’ self-reported behavior and the proxy-reported behavior that other (non-cyclist) road users perceive from bike riders. For this purpose, this study used data from two samples: (i) 1064 cyclists (M = 32.83 years) answering the Cycling Behavior Questionnaire—CBQ, and (ii) 1070 non-cyclists (M = 30.83 years) answering an adapted version of the CBQ for external raters—ECBQ. The results show how the self-reported and proxy-reported behaviors of cyclists greatly differ in terms of all behavioral factors composing the CBQ model, i.e., traffic violations, riding errors, and positive behaviors. Also, external raters (non-cyclists) are those targeting significantly riskier behaviors than those self-reported by cyclists. These discrepancies between perceived behaviors may give rise to conflicting viewpoints on the interaction between bicycle riders and other road users. Therefore, this study underscores the importance of behavioral awareness, providing highlights for future studies on the behavioral interaction between cyclists and other road users. Results can be used to improve the road safety of all road users by giving indications on self-and proxy-perceived safety-related behaviors and visibility of protective riding habits.

The social determinants of health influence both psychosocial risks and protective factors, especially in high-demanding contexts, such as the mobility of drivers and non-drivers. Recent evidence suggests that exploring socioeconomic status (SES), health and lifestyle-related factors might contribute to a better understanding of road traffic crashes (RTCs). Thus, the aim of this study was to construct indices for the assessment of crash rates and mobility patterns among young Colombians who live in the central region of the country. The specific objectives were developing SES, health and lifestyle indices, and assessing the self-reported RTCs and mobility features depending on these indices. A sample of 561 subjects participated in this cross-sectional study. Through a reduction approach of Principal Component Analysis (PCA), three indices were constructed. Mean and frequency differences were contrasted for the self-reported mobility, crash rates, age, and gender. As a result, SES, health and lifestyle indices explained between 56.3&ndash, 67.9% of the total variance. Drivers and pedestrians who suffered crashes had higher SES. A healthier lifestyle is associated with cycling, but also with suffering more bike crashes, drivers and those reporting traffic crashes have shown greater psychosocial and lifestyle-related risk factors. Regarding gender differences, men are more likely to engage in road activities, as well as to suffer more RTCs. On the other hand, women present lower healthy lifestyle-related indices and a less active implication in mobility. Protective factors such as a high SES and a healthier lifestyle are associated with RTCs suffered by young Colombian road users. Given the differences found in this regard, a gender perspective for understanding RTCs and mobility is highly suggestible, considering that socio-economic gaps seem to differentially affect mobility and crash-related patterns.

Background: Vision is an undisputable contributor to the explanation of many human-factor related traffic crashes happening every day. The Inland Transport Committee (ITC), the United Nations regulatory platform, included on 1st April 2020 special action on the vision of road users inside the ITC Recommendations for Enhancing Road Safety Systems. The results of this wide-scale study on drivers&rsquo, vision health conducted in Spain perfectly illustrates the need of global action and its potential impact on the public health figures and the burden of potentially preventable traffic causalities. Objective: The aim of this study was to assess three key visual health issues (i.e., visual acuity, visual field campimetry and glare recovery) among Spanish drivers, in order to formulate implications and possible guidelines to enhance road safety. Methods: This cross-sectional study examined the visual health of a representative sample of 3249 drivers (70% females and 30% males) with a mean age of 41 (SD = 13) years, gathered from all the 17 autonomous communities of Spain. Results: The tests performed allowed to determine that 15% of Spanish drivers have a poor photopic vision, while 38% of them present an inadequate mesopic vision. Further, 23% of drivers have deficiencies in peripheric visual field campimetry, and the average time for full-vision recovery after a 10-s glare was 27 s. Sex, age and driver type (professional vs. non-professional) differences were found for the study variables. Conclusions: The findings of this study support the idea that certain demographic-based population groups of drivers present several unaddressed deficiencies and impairments in visual health. Overall an estimated 29.5% of Spanish drivers present visual issues, that need to be attended in order to enhance the prevention of driving crashes and the road safety of all road users.

Research on traffic safety has highlighted the importance of studying and intervening in aggressive driving in order to reduce crashes and accidents. The main objective of this work is to describe the perception of what people consider an aggressive behavior, and their perception of which are the most aggressive acts performed when driving. The sample was composed of 1079 Spanish drivers aged over 14. They participated in a national telephone survey, completing a questionnaire which gathered socio-demographic data and information on the drivers’ profiles, containing a “Perception of aggressive driving Scale (PAD)”. The unifactorial ANOVA test for repeated measures of the General Linear Model (GLM) with α = 0.05 procedure was used for the comparison of mean values. Results show that drivers tend to make higher valuations regarding the aggressive character of the PAD (M = 7.86 SD = 0.05). The situation that most concerned Spanish drivers was “To produce damage to other people with some type of object or weapon” (M = 9.47 SD = 0.05), which does not necessarily correspond to the driving context. Differences in perception were found depending on socio-demographic variables. Women, drivers over 29 years old, low-middle social classes, and drivers who had suffered two accidents, tended to evaluate PAD as more aggressive. These findings suggest that differences in the perception of aggressive behaviors depend on social situations and on the driver’s personal features. Finally, the findings of this research will help road safety researchers understand the concept of aggressiveness under different perspectives, and take into account the existing differences between dangerous and punishable behaviors. Moreover, these outcomes showed the necessity to deepen the research on those behaviors that Spaniards perceive as aggressive, and to develop knowledge on why the perception of aggressiveness changes according to the characteristics of the population, and how this perception is reflected in people’s attitudes and behaviors towards road safety.

Introduction Even though cycling is an activity whose benefits in terms of urban mobility and health are globally recognized, its disproportional growth during the past few decades has led to some unexpected dynamics. In fact, the increasing number of traffic injuries and deaths involving cyclists has a high cost for public health systems. Considering the available empirical evidence, aberrant and positive behaviors on the road constitute relevant predictors for the injuries suffered by road users. Nevertheless, the scarcity of tools that measure and evaluate the behavior of road users, especially in the case of cyclists, constitutes a serious lack in terms of explaining, intervening and preventing traffic crashes through behavioral approaches. Objective This study had two essential purposes: first, to describe in detail the validation of measurement of risky and positive road user behaviors of cyclists using the Cycling Behavior Questionnaire. Second, to compare the mean scores of the validated version of the CBQ according to demographic and cycling-related factors. Method As a part of a larger collaborative research project, our data was collected from 1064 Spanish-speaking cyclists (between 17 and 80 years old) from 20 countries, who filled out an anonymous electronic survey on their riding behaviors. The data was analyzed using competitive Confirmatory Factor Analyses (CFA), thus obtaining basic psychometric values and an optimized structure for the scale. Results The obtained results suggest that the CBQ has a clear factorial structure, items with high factorial weight, and good internal consistency. In particular, the results of the latent variable model with three factors, which were labeled errors, violations and positive behaviors, show that the CBQ is satisfactorily adjusted. Conclusion The findings of this research support the idea that the CBQ may have important applications in the improvement of road safety through the study of cyclists' behavioral factors and their relationship to demographic and cycling-related factors.

Introduction While the use of bicycles as mean of transport is growing worldwide, the increasing rates of traffic crashes involving cyclists have turned into a relevant scientific, public health, and road safety concern. According to several studies, and despite the fact that some countries are taking part in preventive actions, the data indicate that the problem of cycling injuries implies high costs for the community welfare, for the economy, and for healthcare systems, thus proving a clear need for solutions. In this regard, and considering the available empirical evidence, risky and positive riding behaviors have gained significant weight in terms of explaining, intervening in, and preventing traffic crashes of cyclists, and some evidence suggests that gender may influence the road behavior of users. Objective The objective of this study was to examine the effect of gender on cyclists' risky and positive riding behavior, considering a set of demographic, psychosocial and bike-use-related variables as potential predictors. Method For this cross-sectional study, data from 1064 cyclists (61.2% males and 38.8% females, aged between 17 and 80) from 20 countries, responding an electronic survey, were analyzed through a multi-group structural equation modeling approach. Results: Although hourly intensity, psychological distress and level of knowledge of traffic rules similarly predict the risky road behaviors of both genders, age and risk perception are significant behavioral predictors only in the case of male cyclists. On the other hand, positive behaviors of men are predicted by cycling intensity, knowledge of traffic rules and risk perception, while in the case of women psychological distress predicts -to a significant extent- positive behaviors. Age had no significant effect on the explanation of positive behaviors. Conclusion The findings of this study support the influence of gender in the statistical explanation of risky and protective behaviors, and they also reveal differentiating variables predicting the riding behavior of male and female cyclists.

Introduction Although daily walking implies several potential benefits for the health and well-being of people, and, besides the raise of more “walkable” cities, it is currently being promoted as an active transportation means that is rich in benefits for its users, road risks affecting pedestrians, together with their high vulnerability to suffer severe injuries as a consequence of traffic crashes, have turned into a relevant concern for both policymakers and public health practitioners. In this regard, risky and positive (proactively safe) behaviors have acquired a substantial relevance for the study and prevention of traffic causalities involving different road users, including pedestrians. Objective The objective of this study was to thoroughly describe the validation of an instrument for measuring the walking risky and positive behavior on the road, using the Walking Behavior Questionnaire (WBQ). Methods This cross-sectional study analyzed the data from 1070 Spanish pedestrians answering a questionnaire on road behaviors. The data were analyzed using the competitive Confirmatory Factor Analysis (CFA), thus obtaining basic psychometric properties, testing convergent validity and predictive value, and presenting an optimized structure for the scale. Results The obtained findings suggest that the WBQ has a clear dimensional structure, items with high factorial weight, good internal consistency and reliability and an adequate convergent validity with variables theoretically associated with road behaviors. Conclusion The results of this study endorse the psychometric value of the WBQ for measuring errors, violations and positive behaviors of pedestrians. This questionnaire might have relevant applications in the practical field, since, apart from having good psychometric properties, it introduces items related to social and technological trends (e.g., the use of cellphones) that may compromise pedestrians’ safety. This can be particularly useful for designing behavioral-based interventions and educational programs, focused on road risk reduction and on the promotion of safe walking behavior.

Introduction As part of the transformation of urban transportation dynamics, commuter cycling has acquired a high relevance as an alternative mode of transport in different countries, and Latin America seems to be one of the main focus of this worldwide “revolution”. However, the high rates of crashes and injuries suffered by commuters have become a relevant issue in the field of road safety, especially in emerging regions with low cycling tradition, where social and infrastructural gaps may endanger the cyclists’ safety. Objectives This study had two objectives. First, to compare key safe cycling-related variables between cycling commuters and non-commuters; and second, to differentially asses the effect of individual and cycling-related variables on their self-reported crash rates. Method: For this cross-sectional research, the data provided by 577 Latin American urban cyclists from three countries (Argentina, Colombia and Mexico) with a mean age of 32.7 years was used. They answered a questionnaire on cycling habits, risk perception, rule knowledge, cycling behaviors and riding crashes. Results The outcomes of this study showed that, despite having a higher risk perception, cycling commuters perform deliberate risky cycling behaviors (traffic violations) more frequently, and they suffer more crashes; cycling commuters report higher rates of psychological distress, and a lower degree of rule knowledge and protective behaviors than non-commuters. Furthermore, structural similarities and differences in the explanation of cycling crashes were found across commuters and non-commuters. Conclusion The results of this study suggest that non-commuters, whose purposes for cycling are more aimed at leisure and occasional trips, perform less risky behaviors but suffer more cycling distractions, whereas commuters are comparatively more exposed to behavioral-based safety risks, and suffer more frequent crashes. Since recent evidence forecasts that urban cycling will keep growing in Latin American cities, it is necessary to implement policies and educational/training improvements that may enhance the safety and health of cyclists in these countries.

ObjectivesThis study aimed at analyzing the cycling safety-related factors and the mental health indicators of elderly cyclists in comparison with other age groups.MethodsFor this cross-sectional study, we analyzed the data of 911 bicyclists from two Latin American countries that have been experiencing a substantial growth of urban cycling during the last few years: Colombia and Argentina. Participants responded to an e-questionnaire on bicycling behaviors, mental health and cycling safety.ResultsAging adults reported lower rates of risky behaviors and traffic crashes (around .38 in five years), and, on the other hand, more cycling protective behaviors, a higher risk perception and a better knowledge of traffic norms than both other adults (26-50 years old) and young cyclists (ConclusionsAlthough the behavioral features of aging adults were comparatively "safer" than the ones displayed by other age groups, factors such as cycling distractions and this population's over-representation in traffic crashes suggest the need of enforcing policymaking for a better integration of this age segment in alternative transportation dynamics.

IntroductionCorrectional employees typically work under adverse conditions that may enhance the occurrence of different negative psychological states. Burnout constitutes a high-risk phenomenon that may affect people's physical/mental health and welfare, especially in vulnerable occupational groups.ObjectivesThe aim of this study was to characterize the burnout profile of correctional officers, and to associate their burnout profile with health issues and lifestyle factors.MethodsThe full sample was composed of 219 Colombian correctional officers with a mean age of 30.18 years. A questionnaire composed of three sections was employed: demographic data, burnout, and health information.ResultsA high proportion of participants reported burnout indicators, also significantly correlated to their health indicators and lifestyle factors. Cluster analyses were used in order to characterize the burnout/age (model A) and burnout/age/psychological disturbance (model B) profiles of correctional officers. Furthermore, significant differences were found when comparing frequencies of alcohol consumption and physical exercise (lifestyle indicators) and perceived social support of officers depending on their profile.Conclusionsthe discussion focused on the negative impact of burnout on health, and on the importance of strengthening occupational programs aimed at reducing the impact of hazardous working conditions that contribute to the development of burnout, and to the arise different mid and long-term health complains among correctional workers.

This data article examines the association between age, knowledge of traffic rules, risk perception, risky and positive behaviors on the road and traffic safety outcomes of cyclists. The data was collected using a structured self-administrable and online-based questionnaire, applied to a full sample of 1064 cyclists. The data contains 4 parts: descriptive statistics; graphical trends for each study variable according to age; Post-Hoc (Tukey-HSD) comparisons between cyclists classified in the different age groups; and, finally, the dataset for further explorations in this regard. For further information, it is convenient to read the full article entitled "Explaining Self-Reported Traffic Crashes of Cyclists: An Empirical Study based on Age and Road Risky Behaviors" (Useche et al., 2019) [1].

Public transport is an effective and sustainable alternative to private vehicle usage, also helping to reduce the environmental impact of driving. However, the work environment of public transport operators is full of adverse conditions, which, together with their high mileage, may increase the occurrence of negative safety outcomes such as traffic accidents, often preceded by risky road behaviors enhanced by stress, anger, and difficult operating conditions. The aims of this study were, first, to determine the association between work-related psychosocial factors and individual characteristics of public transport drivers and the rate of traffic sanctions they are subject to; and second, to assess the mediation of driving anger in this relationship. A sample of professional drivers (57.4% city bus, 17.6% taxi, and 25% inter-urban bus male operators) was used for this cross-sectional study, responding to a five-section survey including demographic data and driving-related factors, psychosocial work factors including job stress, driving stress, risk predisposition, and driving anger. The results of this study showed significant associations between work-related factors: measures of stress and self-reported rates of traffic fines. Second, it was found that driving anger mediates the associations between driving stress, risk predisposition, and traffic sanctions; and partially mediates the association between driving experience, hourly intensity, and job stress. This study supports the idea that traffic penalties reported by public transport rates are preceded by work-related, personality, and other individual factors that, when combined with driving anger, enhance the occurrence of road misbehavior that may affect overall road safety.

The ejaculate is a heterogeneous pool of spermatozoa containing only a small physiologically adequate subpopulation for fertilization. As there is no method to isolate this subpopulation, its specific characteristics are unknown. This is one of the main reasons why we lack effective tools to identify male infertility and for the low efficiency of assisted reproductive technologies. The aim of this study was to improve ICSI outcome by sperm selection through thermotaxis. Here we show that a specific subpopulation of mouse and human spermatozoa can be selected in vitro by thermotaxis and that this subpopulation is the one that enters the fallopian tube in mice. Further, we confirm that these selected spermatozoa in mice and humans show a much higher DNA integrity and lower chromatin compaction than unselected sperm, and in mice, they give rise to more and better embryos through intracytoplasmic sperm injection, doubling the number of successful pregnancies. Collectively, our results indicate that a high quality sperm subpopulation is selected in vitro by thermotaxis and that this subpopulation is also selected in vivo within the fallopian tube possibly by thermotaxis.

The increasing number of registered road crashes involving cyclists during the last decade, and the high proportion of road crashes resulting in severe injuries and fatalities among cyclists constitutes a global issue for community health, urban development, and sustainability. Nowadays, the incidence of many risk factors for road crashes of cyclists remains largely unexplained. Given the importance of this issue, the present study has been conducted with the aim of determining relationships between infrastructural, human factors and safety outcomes of cyclists. Objectives: This study aimed, first, to examine the relationship between key infrastructural and human factors present in cycling, bicycle-user characteristics, and their self-reported experience with road crashes. And second, to determine whether a set of key infrastructural and human factors may predict their self-reported road crashes. Methods: For this cross-sectional study, a total of 1064 cyclists (38.8% women, 61.2% men; M = 32.8 years of age) from 20 different countries across Europe, South America and North America, participated in an online survey composed of four sections: demographic data and cycling-related factors, human factors, perceptions on infrastructural factors, and road crashes suffered. Results: The results of this study showed significant associations between human factors, infrastructural conditions and self-reported road crashes. Also, a logistic regression model found that self-reported road crashes of cyclists could be predicted through variables such as age, riding intensity, risky behaviors, and problematic user/infrastructure interactions. Conclusions: The results of this study suggest that self-reported road crashes of cyclists are influenced by features related to the user and their interaction with infrastructural characteristics of the road.

BackgroundUndisputedly, traffic crashes constitute a public health concern whose impact and importance have been increasing during the past few decades. Specifically, road safety data have systematically shown how cyclists are highly vulnerable to suffering traffic crashes and severe injuries derived from them. Furthermore, although the empirical evidence is still very limited in this regard, in addition to other human factors involved in cycling crashes, distractions while cycling appear to be a major contributor to the road risk of cyclists.ObjectivesThe main objectives of this study were, first, to explore the prevalence and trends of cycling distractions within an international sample of bike users, and second, to determine the influence of such distractions on road crashes suffered by cyclists, simultaneously considering the explanatory role of risky behaviors (errors and traffic violations) as potentially mediating variables between cycling distractions and traffic crashes.MethodsFor this cross-sectional study, we analyzed the data obtained from 1,064 cyclists—61.2% male and 38.8% female—from 20 different countries, who answered an on-line questionnaire on cycling-related features, habits, behaviors and accidents.ResultsThe prevalence of different cycling distractions oscillated between 34.7% and 83.6%. The most common distractions were those related to the behavior of other users, physical elements of the road, weather conditions and phone calls. Age trends and differences were also found, thus establishing a positive association between age and distractibility during cycling. Furthermore, the effect of distractions on traffic crashes of cyclists was significant when tested together with age, risk perception and risky behaviors on the road.ConclusionThe results of this study support the hypotheses that distractions have a major prevalence among bike users, and that they play a significant role in the prediction of the traffic crash rates of cyclists, through the mediation of risky behaviors.

This Data in Brief (DiB) article examines the association between the Job Demand-Control (JDC) model of stress and traffic safety outcomes (accidents and sanctions) in public transport drivers (n = 780). The data was collected using a structured self-administrable questionnaire composed of measurements of work stress (Job Content Questionnaire), and demographics (professional driving experience, hours and days working/driving per week). The data contains 4 parts: descriptive statistics, bivariate correlations between the study variables, analysis of variance (ANOVA) and Post-Hoc comparisons between drivers classified different quadrants of the JDC model. For further information, it is convenient to read the full article entitled “Working conditions, job strain and traffic safety among three groups of public transport drivers”, published in Safety and Health at Work (SHAW) [1] (Useche et al., 2018). Keywords: Public transport drivers, Professional driving, Work stress, Job strain, Demand-Control Model, Working conditions, Traffic accidents, Traffic fines