title: [The analysis of the bipolarity features in students of arts and the students of technology].
abstract: BACKGROUND
  The aim of the research was to assess the prevalence of the bipolar spectrum features among students of a variety of faculties, by dividing them arbitrarily into 'art' or 'technology' cohorts.
  
  
  METHODS
  120 subjects were examined, including 57 students of arts, and 63 students of technology. The tools used included a basic socio-demographic questionnaire and the Hirschfeld Mood Disorder Questionnaire (MDQ).
  
  
  RESULTS
  The bipolar spectrum features (as identified by the MDQ responses) were significantly more prevalent among the students of arts, as compared to the students of technology (28.2% vs. 4.8%, p < or = 0.001; OR = 7.8; CI 95%: 2.13-28.51; p < 0.01). Moreover, in comparison to the students of technology, the students of arts were more likely to: 1) report mood patterns of intermittent 'highs' and 'lows' (49.1% vs. 15.9%, p < or = 0.0001; OR = 5.11; CI 95%: 2.18-11.99; p < or = 0.001); 2) seek for psychiatric or psychological support (12.3% vs. 1.5%; p < or = 0.05; OR = 5.2; CI 95%: 1.79-15.21; p < or = 0.01); 3) have a history of utilisation of psychotropic medications (31% vs. 7.9%, p < or = 0.001; OR = 8.7; CI 95%: 1.03-72.9; p < or = 0.05). They were also more likely to use psychoactive substances (other than alcohol).
  
  
  CONCLUSIONS
  The considerable prevalence of the bipolarity features (as measured by the MDQ), combined with higher prevalence of intermittent periods of elevated or depressed mood, higher likelihood of seeking for psychiatric or psychological treatment, and higher prevalence of using psychoactive medications/substances in the cohort of the students of arts indicate a significant association between artistic talents and creativity, and the bipolar spectrum disorders.
authors.forename: Marcin
authors.initials: M
authors.lastname: Siwek
authors.forename: Dominika
authors.initials: D
authors.lastname: Dudek
authors.forename: Aleksandra
authors.initials: A
authors.lastname: Arciszewska
authors.forename: Dorota
authors.initials: D
authors.lastname: Filar
authors.forename: Monika
authors.initials: M
authors.lastname: Rybicka
authors.forename: Anna
authors.initials: A
authors.lastname: Cieciora
authors.forename: Maciej Wojciech
authors.initials: MW
authors.lastname: Pilecki
mesh_terms: D000328:Adult; D001154:Art; D001294:Attitude to Health; D001714:Bipolar Disorder / Q000453:epidemiology / Q000523:psychology*; D015897:Comorbidity; D003863:Depression / Q000453:epidemiology; D005260:Female; D006801:Humans; D015994:Incidence; D008297:Male; D008603:Mental Health / Q000706:statistics & numerical data*; D011044:Poland / Q000453:epidemiology; D012586:Science / Q000193:education; D013334:Students / Q000523:psychology* / Q000706:statistics & numerical data; D019966:Substance-Related Disorders / Q000453:epidemiology / Q000523:psychology; D055815:Young Adult