Sexual health is important at any age. And the desire for intimacy is timeless. As you age, sex may not be the same as it was in your 20s, but it can still be very fulfilling. Discover which aspects of sexual health are likely to change as you age — and how you and your partner can adapt. To maintain a satisfying sex life, talk with your partner.
The Erogenous Mirror: Intersubjective and Multisensory Maps of Sexual Arousal in Men and Women
Female Sexual Dysfunction: From Causality to Cure
Introduction: Since the millennium we have witnessed significant strides in the science and treatment of female sexual dysfunction FSD. This forward progress has included i the development of new theoretical models to describe healthy and dysfunctional sexual responses in women; ii alternative classification strategies of female sexual disorders; iii major advances in brain, hormonal, psychological, and interpersonal research focusing on etiologic factors and treatment approaches; iv strong and effective public advocacy for FSD; and v greater educational awareness of the impact of FSD on the woman and her partner. Aims: To review the literature and describe the best practices for assessing and treating women with hypoactive sexual desire disorder, female sexual arousal disorder, and female orgasmic disorders. Methods: The committee undertook a comprehensive review of the literature and discussion among themselves to determine the best assessment and treatment methods.
This is a corrected version of the article that appeared in print. Sexual dysfunction in women is a common and often distressing problem that has a negative impact on quality of life and medication compliance. The problem is often multifactorial, necessitating a multidisciplinary evaluation and treatment approach that addresses biological, psychological, sociocultural, and relational factors.
Background: Arousal incontinence AI occurs during physical or psychological sexual stimulation in men and has been described after radical prostatectomy RP. Aim: The goals of this study are to describe the characteristics of men experiencing AI, outline the nature of their symptoms, and assess for predictors of this condition. The data were deidentified and analyzed using descriptive statistics. Logistic regression in univariable and multivariable analyses were used to define predictors of AI.