Hormones, morphometrics and behaviour - practical 3 Flashcards
2D:4D ratio
(Hönekopp et al., 2007)
Affected by exposure to androgens, e.g. testosterone
Provides a crude measure for prenatal androgen exposure, w/ lower 2D:4D ratios linked to higher androgen exposure
No correlation between 2D:4D and sex hormone levels as adult – strictly exposure in utero that causes diffs
what’s the mechanism behind 2D:4D ratio?
Unclear
Other traits, e.g. arm-to-trunk length ratio, show similar effects
Possible influence of genes via pleiotropy: development of both digits and genitals governed by Hox genes
Sex hormones may affect bone growth directly/via regulation local Hox genes
sex differences in the 2D:4D ratio
Males: mean 0.947 +- 0.029
Females: mean 0.965 +- 0.026
ethnic differences in the 2D:4D ratio
Ratios vary greatly between diff ethnic groups – more than between sexes
‘More diff between a Pole and a Finn than man and a woman’ (Manning et al., 2004)
predicting adult traits
(Manning, 2008)
High ratio associated with:
- Lowered sperm counts
- Increased risk for heart disease in males
- Increased rate of psychopathy in females
- Increased risk for anorexia nervosa in females
- Lower assertiveness in females
- Reduced aggression in males
- High exam scores among male students
- Lower musical ability in males
does 2D:4D ratio predict level of risk taking?
No significant effect of digit ratio
Significant effect of sex on risk taking – men are riskier –based on sample of 4 men – not reliable
does the ratio predict reaction time?
No significant effects of any variables
why do our results differ from the Coates et al. (2009) study?
Different samples
Confounding variables in tasks
Different types of risks – more sustained for Coates
fWHR
(Weston et al., 2007)
fWHR = (bizygomatic width) / (upper facial height)
higher in adult males than females – men have relatively wider upper faces than women
due to divergence of bizygomatic width in puberty, coinciding with testosterone surge in boys
Carré and McCormick (2008)
ice-hockey players with wider faces commit more aggressive acts
Stirrat et al. (2012)
Forensic evidence: men with narrower faces stat more likely to die from contact violence
Little et al. (2015)
Based solely on photos (N = 114 pairs), fight winner was:
- More often predicted to be winner
- Rated as more aggressive
- Rated as stronger
- Rated as more masculine
- Rate by women as more attractive
Sensitivity to cues of fighting ability may be evolutionarily imp
But not known what cues used – could fWHR play a role?
could the fight winner be reliably predicted?
no
does fWHR differ between winners and losers?
no
did you judge fighters with wider faces as more attractive?
no