Bisexual women had higher rates of past-year and daily marijuana use compared to heterosexual women, according to a study just published at Columbia University Mailman School of Public Health. Gay/lesbian women were also more likely to report daily marijuana use and past year medical marijuana use than heterosexual women. While previous research has explored the...
Health
In the Largest Study of Its Kind, No Evidence That Testosterone Reduces Cognitive Empathy
It’s long been known that autism is far more prevalent in males than in females. What hasn’t been understood is why. “Of course, the primary suspect when we have something that is sharply differentiated by sex is testosterone,” says Gideon Nave, an assistant professor of marketing in Penn’s Wharton School. Yet a new study led...
Pregnant Women of Color Experience Disempowerment by Health Care Providers
A new study finds that women of color perceive their interactions with doctors, nurses and midwives as being misleading, with information being “packaged” in such a way as to disempower them by limiting maternity healthcare choices for themselves and their children. “Given the significant birth-related disparities faced by women of color, particularly black women, this...
Cannabis May Hold Promise to Treat PTSD but Evidence Lags Behind Use
As growing numbers of people are using cannabis to treat post-traumatic stress disorder (PTSD), a new University College London (UCL) study reports that prescriptions are not backed up by adequate evidence. The systematic review, published in the Journal of Dual Diagnosis, finds that the active components of cannabis, called cannabinoids, may hold promise as a treatment...
Hardship During the Great Recession Linked with Lasting Mental Health Declines
People who suffered a financial, housing-related, or job-related hardship as a result of the Great Recession were more likely to show increases in symptoms of depression, anxiety, and problematic drug use, research shows. The research findings, published in Clinical Psychological Science, a journal of the Association for Psychological Science, reveal declines in mental health that were still evident...
AI Learns the Language of Chemistry to Predict How to Make Medicines
University of Cambridge researchers have shown that an algorithm can predict the outcomes of complex chemical reactions with over 90% accuracy, outperforming trained chemists. The algorithm also shows chemists how to make target compounds, providing the chemical ‘map’ to the desired destination. The results are reported in two studies in the journals ACS Central Science and Chemical Communications....
Study Finds That Teens Are Using a Highly Potent Form of Marijuana
Nearly one in four Arizona teens have used a highly potent form of marijuana known as marijuana concentrate, according to a new study by Arizona State University researchers. Among nearly 50,000 eighth, 10th, and 12th graders from the 2018 Arizona Youth Survey, a biennial survey of Arizona secondary school students, one-third (33%) had tried some...
City Parks Lift Mood as Much as Christmas, Twitter Study Shows
Feeling unhappy and cranky? The treatment: take a walk under some trees in the park. That may not be the exact prescription of your doctor, but a first-of-its-kind study shows that visitors to urban parks use happier words and express less negativity on Twitter than they did before their visit–and that their elevated mood lasts,...
Mini Kidneys Grown from Stem Cells Give New Insights into Kidney Disease and Therapies
An international team of researchers led by Nanyang Technological University, Singapore (NTU Singapore) has grown ‘miniature kidneys’ in the laboratory that could be used to better understand how kidney diseases develop in individual patients. The mini kidneys, known as kidney organoids, were grown outside the body from skin cells derived from a single patient who...
Machine Learning Models Help Clinicians Identify People Who Need Advanced Depression Care
Researchers at Regenstrief Institute and Indiana University created decision models capable of predicting which patients might need more treatment for their depression than what their primary care provider can offer. The algorithms were specifically designed to provide information the clinician can act on and fit into existing clinical workflows. Depression is the most commonly occurring...