Determination of Exercise Predictors of Self-reported Sexual Performance among Healthy Adults

The purpose of the study was to determine if a set of exercise variables including exercise frequency, exercise intensity, exercise time, and exercise type could predict self-reported sexual performance among healthy adults. The sample consisted of 509 participants ranging in ages from 18-74 who completed a 30-item questionnaire on exercise frequency, intensity, time, and type and sexual performance indicators. Self-reported sexual performance was identified as frequency of sexual arousal, ability to be easily aroused, number of orgasms in a single sexual episode, ease of orgasm, frequency of sexual intercourse, and sexual arousal then loss of interest. Logistic regression analysis revealed that exercise intensity regression models could predict the frequency of sexual arousal, frequency of sexual desire, frequency of sexual intercourse, and number of orgasms in a single sexual episode with high accuracy. Only the frequency of sexual desire was significantly predicted by exercise frequency regression models.