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1.
Int J Inj Contr Saf Promot ; 31(1): 86-95, 2024 Mar.
Article in English | MEDLINE | ID: mdl-37936482

ABSTRACT

The media plays a key role in shaping the public's perception of road safety. This study analyzes the newspaper coverage and framing of motor vehicle crashes (MVCs) and road safety in Argentina, South America. The content of 304 articles published by 15 newspapers in November 2020 was reviewed. The results show that episodically framed news stories (focused on a single event or incident) prevail over thematically framed articles. MVCs are presented primarily as 'police' events and tend to receive more coverage when fatalities are involved. There is limited information provided on contextual and risk factors, and road safety advice is rarely included. Speeding, infrastructure, alcohol and other human-related variables are the most cited risk factors. Very few articles mention the use of protective devices (seat-belt, helmet and child restraint system). Although motorcyclists represent 40% of RTC deaths in Argentina, only 20% of the news coverage was about them. News coverage was quite similar in national and regional newspapers. There is an opportunity for the media to help build a better road safety culture, but significant changes in news framing are required. Practical recommendations for editors, journalists and road safety practitioners are provided.


Subject(s)
Accidents, Traffic , Seat Belts , Child , Humans , Accidents, Traffic/prevention & control , Argentina , Risk Factors , Motor Vehicles
2.
J Safety Res ; 75: 284-291, 2020 12.
Article in English | MEDLINE | ID: mdl-33334487

ABSTRACT

INTRODUCTION: Attitudes toward risky driving behaviors are commonly evaluated through direct self-report measures. Nevertheless, these instruments have limitations, such as socially-desirable responding. This study examines the validity of the Implicit Association Test (IAT) as an indirect measure of attitudes towards risky driving. An IAT with "risky" vs. "safe" driving behaviors categories was evaluated. METHOD: A sample of 100 participants (ranging from 18 to 70 years of age) completed the IAT and measures of attitudes, driving styles, personality traits, risk-taking (IOWA Gambling Task), and social desirability (Driver Social Desirability Scale). RESULTS: A high level of internal consistency was found for IAT scores. The IAT was correlated with driving styles (risky, dissociative, and careful dimensions), risk-related personality traits (impulsive/sensation seeking and aggression/hostility) and risk-taking measures. IAT scores were also associated with self-reported risky driving behaviors (r = 0.33). As expected, a higher level of negative implicit attitudes was found among young drivers. The driver social desirability scale was correlated with most self-report measures, but not with the IAT. CONCLUSION: The present study provides reliability and validity evidence for the IAT as an indirect measure of attitudes towards risky driving. The IAT can serve as an important complement to conventional self-report measures of driving attitudes. Practical Applications: Potential use of global measure of implicit attitudes toward risky driving behaviors in the evaluation, education, and training of drivers are discussed.


Subject(s)
Attitude , Automobile Driving/psychology , Impulsive Behavior , Risk-Taking , Adult , Aged , Argentina , Female , Humans , Male , Middle Aged , Reproducibility of Results , Self Report , Young Adult
3.
J Safety Res ; 66: 187-194, 2018 09.
Article in English | MEDLINE | ID: mdl-30121105

ABSTRACT

Introduction The Theory of Planned Behavior (TPB) is one of the most widely used psychological models when it comes to explaining road safety behaviors. Recently, studies have also been conducted from the perspective of dual-process models. However, the present is the first study on road safety behaviors that integrates both perspectives. The study evaluates the roles of both implicit attitudes and TPB constructs in the prediction of seatbelt use. Method A sample of 100 drivers completed: (1) a self-reporting instrument on seatbelt use, (2) a questionnaire addressing TPB constructs, (3) an indirect measure of attitudes (Implicit Association Test), and (4) a social desirability scale. Results Results suggest that both types of attitudes make a significant and quite similar contribution to the explanation of seatbelt use. Interestingly, implicit attitudes were a better predictor than explicit attitudes among participants reporting inconsistent seatbelt use. In addition, path analysis models suggested that implicit attitudes appear to be relatively independent of TPB constructs and have a direct effect on seatbelt use. Conclusion The findings advance the idea of adding implicit attitudes to variables from the TPB model in order to increase the explanatory power of models used to predict road safety behaviors. Practical applications Potential use of implicit attitude measures in the education and training of drivers are discussed.


Subject(s)
Attitude , Automobile Driving/statistics & numerical data , Safety/statistics & numerical data , Seat Belts/statistics & numerical data , Adult , Argentina , Female , Humans , Male , Middle Aged , Psychological Theory , Self Report , Young Adult
4.
Accid Anal Prev ; 79: 190-7, 2015 Jun.
Article in English | MEDLINE | ID: mdl-25838193

ABSTRACT

We studied the role of implicit attitudes on road safety behaviors. We also explored the methodological benefits of using implicit measures to complement conventional self-reporting instruments. The results suggest that: (a) implicit attitudes are capable of predicting observed differences in the use of protective devices (helmet use); (b) implicit attitudes correlate with the emotional component of the explicit attitudes (e.g., perception of comfort-discomfort), but appear to be independent of the more cognitive components (e.g., perceived benefits); (c) the emotional component of the explicit attitudes appears to be the major predictor of behavior; and (d) implicit measures seem to be more robust against social desirability biases, while explicit measure are more sensitive to such bias. We conclude that indirect and automatic measures serve as an important complement to conventional direct measures (self-reports) because they provide information on psychological processes that are qualitatively different (implicit) and can also be more robust when it comes to response bias.


Subject(s)
Accident Prevention/methods , Attitude , Automobile Driving/psychology , Head Protective Devices/statistics & numerical data , Motorcycles , Risk-Taking , Safety , Adult , Argentina , Female , Humans , Male , Middle Aged , Self Report , Young Adult
5.
Int J Inj Contr Saf Promot ; 22(2): 172-6, 2015.
Article in English | MEDLINE | ID: mdl-24499339

ABSTRACT

Injuries resulting from motorcycle crashes constitute a growing problem in Argentina and other Latin American countries. The problem is aggravated because helmet use is not widespread. This observational study analysed the prevalence of helmet use and related factors in a city in Argentina. The sample consisted of 2542 observations of motorcyclists. The results show an incidence of helmet use of 69.8% for drives and 43.4% for passengers. Helmet use was greater among women. Environmental and temporal conditions were related with the rate of helmet use. The findings indicate a considerable increase in helmet use with respect to prior years, providing evidence in favour of government policies. However, the number of motorcycles in circulation has tripled in the past five years, and therefore, the public health impact of injuries due to motorcycle crashes persists.


Subject(s)
Head Protective Devices/statistics & numerical data , Motorcycles/statistics & numerical data , Urban Population/statistics & numerical data , Argentina , Female , Head Protective Devices/trends , Humans , Male , Motorcycles/legislation & jurisprudence , Sex Factors , Weather
6.
Traffic Inj Prev ; 11(2): 142-50, 2010 Apr.
Article in English | MEDLINE | ID: mdl-20373233

ABSTRACT

OBJECTIVES: Driver inattention is one of the most common causes of traffic collisions. The aim of this work was to study the reliability and validity of the Attention-Related Driving Errors Scale (ARDES), a novel self-report measure that assesses individual differences in driving errors resulting from failures of attention. The relationship between driver inattention and general psychological variables that could be connected to these phenomena was also explored. METHODS: Participants were a convenience sample of drivers drawn from the general population of Mar del Plata, Argentina (n = 301). Drivers responded to ARDES items, a sociodemographic questionnaire, and several validation measures. The internal structure of ARDES was assessed by factor analysis and internal consistency analysis. Analysis of covariance (ANCOVA) was applied to examine differences in ARDES scores due to sociodemographic variables. Logistic regression analysis was used to determine the association between ARDES and self-reported traffic crashes and tickets. Pearson's correlations were calculated between ARDES and validation measures. RESULTS: Factor analysis suggested the existence of one underlying factor. The 19 items proved to have discriminative power. The scale's internal consistency was high (Cronbach's alpha = .86). ARDES discriminated those who had reported road crashes and traffic tickets from those who had not. Correlations with validation measures were robust and theoretically consistent. Findings suggested that driving errors are strongly associated with general error proneness, lack of attention when performing everyday activities, and dissociative personality traits. CONCLUSION: The present study provides preliminary evidence for the validity and reliability of the ARDES scores. Further validation studies should be conducted applying other methodologies and sources of information, such as traffic records, driving simulations, or naturalistic methodologies.


Subject(s)
Accidents, Traffic/statistics & numerical data , Attention , Automobile Driving/psychology , Individuality , Psychometrics/methods , Surveys and Questionnaires , Accidents, Traffic/legislation & jurisprudence , Adolescent , Adult , Aged , Analysis of Variance , Argentina , Automobile Driving/statistics & numerical data , Factor Analysis, Statistical , Female , Humans , Logistic Models , Male , Middle Aged , Reproducibility of Results , Young Adult
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