Smells are known to be critical to animal mating habits: Animal studies have shown that male testosterone levels are influenced by odor signals emitted by females, particularly when they are ovulating (that is, when they are the most fertile). Psychological scientists Saul L. Miller and Jon K. Maner from Florida State University wanted to see if a similar response occurs in humans. In two studies, women wore tee shirts for 3 nights during various phases of their menstrual cycles. Male volunteers smelled one of the tee shirts that had been worn by a female participant. In addition, some of the male volunteers smelled control tee shirts that had not been worn by anyone. Saliva samples for testosterone analysis were collected before and after the men smelled the shirts.
Results revealed that men who smelled tee shirts of ovulating women subsequently had higher levels of testosterone than men who smelled tee shirts worn by non-ovulating women or men who smelled the control shirts. In addition, after smelling the shirts, the men rated the odors on pleasantness and rated the shirts worn by ovulating women as the most pleasant smelling.
The authors note that “the present research is the first to provide direct evidence that olfactory cues to female ovulation influence biological responses in men.” In other words, this study suggests that testosterone levels may be responsive to smells indicating when a woman is fertile. The authors conclude that this biological response may promote mating-related behavior by males.
For more information about this study, please contact: Saul Miller (firstname.lastname@example.org).
Psychological Science is ranked among the top 10 general psychology journals for impact by the Institute for Scientific Information. For a copy of the article “Scent of a Woman: Men’s Testosterone Responses to Olfactory Ovulation Cues” and access to other Psychological Science research findings, please contact Barbara Isanski at 202-293-9300 or email@example.com.
Contact: Barbara Isanski
Association for Psychological Science