Predictors of assertive behaviors among a sample of first-year Tunisian medical students.
Dorra Ben CherifaBochra Nourhène SaguemSouad ChelbiAmel BrahamSelma Ben NasrHelmi Ben SaadPublished in: The Libyan journal of medicine (2022)
Assertiveness is a constructive interpersonal behavior alternative to manipulation and aggression. Medical students (MSs) have daily interpersonal interactions with colleagues, patients and families. Yet, communication deficiencies due to hesitancy to speak-up assertively lead to adverse patient outcomes. This study aimed to assess levels of assertive behaviors (ABs), and to determine its predictors within a sample of first-year Tunisian MSs. This was a cross-sectional survey including 125 first-year MSs from Tunisia. ABs were measured by the Rathus assertiveness scale. Potential independent predictors of AB were evaluated using the following questionnaires: Rosenberg self-esteem scale, interpersonal communication skills inventory short-form-36quality of life questionnaire, and general health questionnaire. In addition, some MSs' characteristics were considered ( eg ; age, sex, living with family, assertiveness training, community work, personal medical field choice, smoking, and alcohol use). Univariate and multivariate analyses were performed. Among the 309 MSs, 125 (40.45%) responded to the survey. AB were found in 36.8% of MSs. Multiple linear regression models revealed that self-esteem global scores, sending clear messages, anxiety/depression and male sex were accountable for 31% in AB scores variance. Targeting self-esteem and interpersonal communication skills (sending clear messages) and identifying subgroups of students with anxiety/depression state would influence ABs.
Keyphrases
- medical students
- psychometric properties
- sleep quality
- healthcare
- end stage renal disease
- cross sectional
- mental health
- depressive symptoms
- newly diagnosed
- chronic kidney disease
- public health
- ejection fraction
- physical activity
- peritoneal dialysis
- prognostic factors
- emergency department
- human health
- single cell
- cancer therapy
- drug delivery
- neural network
- drug induced