Translation and cross-cultural adaptation of the Brazilian Portuguese version of the Driving Anger Scale (DAS): long form and short form

Cantini, Jessye Almeida; Santos, George Oliveira; Machado, Eduardo de Carvalho; Nardi, Antônio Egídio; Silva, Adriana Cardoso

doi:10.1590/2237-6089-2014-0008

Cited by 5 publications

(3 citation statements)

References 14 publications

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“…Cross-cultural adaptation is a fundamental step when translating a scale. 10,11 The Emotional Memory Scale designed by Strange et al had already been translated and adapted to German and has been used in important studies about cognition. 2 The Brazilian version of the Emotional Memory Scale may significantly contribute to this field of study.…”

Section: Resultsmentioning

confidence: 99%

Translation and cross-cultural adaptation of the Brazilian Portuguese version of the Emotional Memory Scale

Fijtman

Czepielewski

Souza

et al. 2018

Trends Psychiatry Psychother.

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Background Emotional memory is an important type of memory that is triggered by positive and negative emotions. It is characterized by an enhanced memory for emotional stimuli which is usually coupled with a decrease in memory of neutral preceding events. Emotional memory is strongly associated with amygdala function and therefore could be disrupted in neuropsychiatric disorders. To our knowledge, there is no translated and culturally adapted instrument for the Brazilian Portuguese speaking population to assess emotional memory. Objective To report the translation and cross-cultural adaptation of a Brazilian Portuguese version of the Emotional Memory Scale, originally published by Strange et al. in 2003. Methods The author of the original scale provided 36 lists with 16 words each. Translation was performed by three independent bilingual translators. Healthy subjects assessed how semantically related each word was within the list (0 to 10) and what the emotional valence of each word was (-6 to +6). Lists without negative words were excluded (negative selection), most positive and most unrelated words were excluded (positive and semantic selection, respectively), and lists with low semantic relationship were excluded (semantic assessment). Results Five lists were excluded during negative selection, four words from each list were excluded in positive and semantic selection, and 11 lists were excluded during semantic assessment. Finally, we reached 20 lists of semantically related words; each list had one negative word and 11 neutral words. Conclusion A scale is now available to evaluate emotional memory in the Brazilian population and requires further validation on its psychometrics properties.

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Section: Resultsmentioning

confidence: 99%

Translation and cross-cultural adaptation of the Brazilian Portuguese version of the Emotional Memory Scale

Fijtman

Czepielewski

Souza

et al. 2018

Trends Psychiatry Psychother.

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“…The concept of forward models with efference copies in conjunction with neural control has been suggested since the mid-twentieth century (Holst and Mittelstaedt, 1950 ; Held, 1961 ) and increasingly employed for biological investigations (Webb, 2004 ). This is because it can explain mechanisms which biological systems use to predict the consequence of their action based on sensory information, resulting in adaptive and robust behaviors in a closed-loop scenario.…”

Section: Discussionmentioning

confidence: 99%

Distributed recurrent neural forward models with synaptic adaptation and CPG-based control for complex behaviors of walking robots

et al. 2015

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Walking animals, like stick insects, cockroaches or ants, demonstrate a fascinating range of locomotive abilities and complex behaviors. The locomotive behaviors can consist of a variety of walking patterns along with adaptation that allow the animals to deal with changes in environmental conditions, like uneven terrains, gaps, obstacles etc. Biological study has revealed that such complex behaviors are a result of a combination of biomechanics and neural mechanism thus representing the true nature of embodied interactions. While the biomechanics helps maintain flexibility and sustain a variety of movements, the neural mechanisms generate movements while making appropriate predictions crucial for achieving adaptation. Such predictions or planning ahead can be achieved by way of internal models that are grounded in the overall behavior of the animal. Inspired by these findings, we present here, an artificial bio-inspired walking system which effectively combines biomechanics (in terms of the body and leg structures) with the underlying neural mechanisms. The neural mechanisms consist of (1) central pattern generator based control for generating basic rhythmic patterns and coordinated movements, (2) distributed (at each leg) recurrent neural network based adaptive forward models with efference copies as internal models for sensory predictions and instantaneous state estimations, and (3) searching and elevation control for adapting the movement of an individual leg to deal with different environmental conditions. Using simulations we show that this bio-inspired approach with adaptive internal models allows the walking robot to perform complex locomotive behaviors as observed in insects, including walking on undulated terrains, crossing large gaps, leg damage adaptations, as well as climbing over high obstacles. Furthermore, we demonstrate that the newly developed recurrent network based approach to online forward models outperforms the adaptive neuron forward models, which have hitherto been the state of the art, to model a subset of similar walking behaviors in walking robots.

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“…Previously, Deffenbacher et al established traffic-related scenarios to induce driving anger and developed the Driving Anger Scale (DAS), which is an effective measurement tool using cluster analysis that has established the foundation for subsequent studies [ 5 ]. Since the development of the original DAS, Britain, New Zealand, Spain and other countries have revised partial items and factor structures of the Driving Anger Scale (DAS) based on national and cultural differences and used the revised scales to conduct subsequent related studies [ 11 – 16 ]. In China, a study identified differences in the perception of driving anger between Chinese and German drivers.…”

Section: Introductionmentioning

confidence: 99%

Driving anger and its relationships with type A behavior patterns and trait anger: Differences between professional and non-professional drivers

Feng

Yang

et al. 2017

PLoS ONE

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The present study examined the types of situations that caused Chinese professional and non-professional drivers to become angry and investigated the differences in driving-elicited anger, considering the influences of type A behavior pattern and trait anger between the two groups. The 20-item revised Driving Anger Scale (DAS) was used to assess a sample of 232 drivers (57% professional, 43% non-professional). The non-professional drivers reported significantly higher levels of anger than the professional drivers on the overall Driving Anger Scale (DAS) and the traffic obstructions and discourtesy subscales. In both groups, the preferred driving speeds were positively related to driving anger. Furthermore, drivers with a type A personality exhibited higher overall driving anger scores and higher anger scores in response to traffic obstructions and slow driving than drivers with a type B personality. Trait anger was significantly related to driving anger in both groups. In the non-professional group, type A behavior patterns (TABPs) and time hurry (TH) were positively correlated with anger evoked by slow driving. In the professional group, TABPs, TH and competitive hostility (CH) were positively related to driving anger, and the TABPs exerted an indirect effect on driving anger by mediating the influence of trait anger. Overall, these findings provide a theoretical basis for implementing targeted interventions for driving anger in both professional and non-professional drivers.

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Translation and cross-cultural adaptation of the Brazilian Portuguese version of the Driving Anger Scale (DAS): long form and short form

Cited by 5 publications

References 14 publications

Translation and cross-cultural adaptation of the Brazilian Portuguese version of the Emotional Memory Scale

Translation and cross-cultural adaptation of the Brazilian Portuguese version of the Emotional Memory Scale

Distributed recurrent neural forward models with synaptic adaptation and CPG-based control for complex behaviors of walking robots

Driving anger and its relationships with type A behavior patterns and trait anger: Differences between professional and non-professional drivers

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