2020
DOI: 10.1590/1516-4446-2019-0806
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Personality traits, alcohol and cannabis use among medical students

Abstract: How to cite this article: Pacheco JPG, Humes EC. Personality traits, alcohol and cannabis use among medical students. Braz J Psychiatry. 2020;42:121. http://dx.

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Cited by 3 publications
(2 citation statements)
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“…Another unhealthy lifestyle behaviour frequently adopted by medical students is the consumption of energy drinks, which are used for their stimulatory effect and for claims of giving benefits, such as physical endurance reaction, concentration, and reduced need for sleep. Smoking represents a risk factor for the use of energy drinks in university students [ 10 , 11 , 12 ]. Therefore, the use of energy drink, smoking habits and alcohol consumption are considered “proxy” measures of the global mental health of medical students.…”
Section: Introductionmentioning
confidence: 99%
“…Another unhealthy lifestyle behaviour frequently adopted by medical students is the consumption of energy drinks, which are used for their stimulatory effect and for claims of giving benefits, such as physical endurance reaction, concentration, and reduced need for sleep. Smoking represents a risk factor for the use of energy drinks in university students [ 10 , 11 , 12 ]. Therefore, the use of energy drink, smoking habits and alcohol consumption are considered “proxy” measures of the global mental health of medical students.…”
Section: Introductionmentioning
confidence: 99%
“…It aims to empirically describe personality along five major dimensions: neuroticism, extraversion, openness, agreeableness, and conscientiousness [4,5]. These five personality dimensions show clear heritable characteristics [6,7], have been found to be associated with several psychiatric disorders [8,9,10] and have frequently been used to investigate the complex interplay of substance use disorders (SUD) and personality within the last decades [20,[25][26][27][28][29][30][31][32]. Data have shown mixed-sex samples to exhibit lower effect sizes than single-sex samples, indicating that mixing sexes in data analysis may obscure effects [32].…”
Section: Assessmentsmentioning
confidence: 99%