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The relationship between temperament and sexual orientation.
Laura D Guerim1, Hudson W de Carvalho2, Diogo R Lara3
1Programa de Pós-Graduação da Faculdade de Medicina e Ciências da Saúde da Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil.
Temperament traits like cyclothymia and dysphoria are linked to non-heterosexual orientations in men. Unstable traits correlate with bisexuality, suggesting a link between emotionality and sexual orientation.
Area of Science:
- Psychology
- Neuroscience
- Genetics
Background:
- The connection between temperament and sexual orientation is not well understood.
- This study investigates this relationship using the Affective and Emotional Composite Temperament (AFECT) model.
Purpose of the Study:
- To evaluate the association between affective and emotional temperaments and sexual orientation in a large population sample.
- To identify specific temperament traits linked to heterosexual, bisexual, and homosexual orientations.
Main Methods:
- An anonymous online survey collected data from 16,571 Brazilian adults aged 21–45.
- The Affective and Emotional Composite Temperament (AFECT) model was used for temperament assessment.
Main Results:
- In men, cyclothymic and dysphoric temperaments were associated with higher rates of bisexual and homosexual orientations.
- In women, volatile, cyclothymic, apathetic, disinhibited, and euphoric temperaments were more common in individuals with bisexual orientation.
- Heterosexual individuals exhibited higher coping and stability scores and lower sensitivity and desire scores compared to other groups.
- Effect sizes ranged from small to moderate, with the most significant differences observed between heterosexual and bisexual individuals, particularly in women.
Conclusions:
- Externalized and unstable temperament traits are primarily associated with bisexuality.
- Heterosexual individuals with homosexual fantasies or experiences represent a novel area for sexual orientation research.
- Limitations include the cross-sectional design, potential missing covariates, and internet-based data collection.
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