The present study investigates the pattern in which transgressive and aggressive driving motives and aggressive driving were ordered in different clusters of drivers. To establish the difference between profiles, anger disorders, state-trait anger, and motives for transgression and respect for traffic rules were studied and compared between clusters. A total of 383 participants (laypersons), of all age and gender, filled out self-report measures evaluating aggressive driving, state-trait anger, anger disorders, aggressive driving motives, and motives for transgression and respect for traffic rules.
View Article and Find Full Text PDFThis study is aimed to explore whether professional exhaustion among caregivers working in nursing homes causes an increased perception of resident aggressiveness and a lower satisfaction in the relationship between the caregiver and the resident. The data were collected from a sample of 52 nurses and caregivers working in retirement homes. We compared the perception of aggressiveness and relational satisfaction in 26 caregivers to 26 without a professional exhaustion condition, using the Maslach Burnout Inventory, Yudofsky's Manifest Aggression Scale, and Wilguski's Caregiver Satisfaction Scale.
View Article and Find Full Text PDFObjective: This cross-sectional study aimed to investigate the relationship between a mother's current emotion regulation strategy (antecedent-focused vs. response-focused), her satisfaction with childbirth, and posttraumatic and/or depressive symptoms after unplanned C-section.
Background: The mother's and baby's health is considered a priority during childbirth.
The present study investigates the potential contribution of three predictors of aggressive and transgressive behaviors on the road: driving anger, impulsiveness and aggressiveness. A total of 455 participants (laypersons), of all age and gender, filled self-reported measures evaluating driving anger, impulsiveness, two forms of aggressiveness (instrumental and emotional forms), driving behaviors and aggressive and transgressive behaviors. Main results indicate: (1) a significant gender effect for almost all variables; (2) gender was involved in the prediction of Lapses and Errors; (3) driving anger, impulsiveness and aggressiveness were involved in a complementary manner in the prediction of aggressive and transgressive driving; (4) Aggressiveness and Impeded Progress were the best predictors of violations and aggressive violations.
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