MALE VICTIMS OF DOMESTIC VIOLENCE: A SUBSTANTIVE AND METHODOLOGICAL RESEARCH REVIEW
by Michael S. Kimmel (Published as “Gender Symmetry in Domestic Violence: A Substantive and Methodological Research Review) Synopsis written by Rus Ervin Funk, MSW Center for Women and Families, Louisville, KY in Violence Against Women, (2002) This substantial article...Gender Role Expectation as a Source of Men’s Health and Mental Health Disparaties
Men are more likely to die than women for all 15 leading causes of death; the average life expectancy for a male, at birth, is 74.6 years, while for women it’s 79.6 years. This is because, Men do not seek out medical or mental health information and take...What Every Man should know about “Low-T”: Testosterone Replacement Therapy
A recent surge of ‘Low T” advertisements have led to an increase in men seeking Testosterone Replacement Therapy (TRT) to a level of 3 percent of men over 40, as well as a industry of men’s clinics that has flowered to meet this interest. Because of this marketing...Calling it Anger Adds to the Danger
by Phyllis B. Frank and Gail K. Golden Anger Management Policy Statement With decades of experience to draw upon, we have determined that most people who are thought to need anger management programs already know how to manage their anger, and do so, on a daily basis...Male Impotence: Pharmacology vs. Mental Health
Moshe Rozdzial, PhD Urologists estimate that about 30 million American men suffer from some form of erectile dysfunction, and many clinicians believe that number is rising. Viagra, the pharmacological treatment for impotence, went on the market in April of 1998....Latest from NOMAS Facebook
MEN OFTEN JUDGE women by their appearance. Turns out, computers do too. When US and European researchers fed pictures of congressmembers to Google’s cloud image recognition service, the service applied three times as many annotations related to physical appearance to photos of women as it did to men.
When AI Sees a Man, It Thinks 'Official.' A Woman? 'Smile'
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A new paper renews concerns about bias in image recognition services offered by Google, Microsoft, and Amazon.