Toggle light / dark theme

Uptake, Adherence, and Attrition in Clinical Trials of Depression and Anxiety Apps: A Systematic Review and Meta-Analysis

A meta-analysis of RCTs found high uptake (92%) but moderate adherence (62%) to mental health apps among participants with depression or anxiety; posttest attrition averaged 18% and follow-up attrition 28%. Trials that included reminders, human contact, and omitted gamification saw lower dropout rates.


Question What are the expected rates of uptake, attrition, and adherence in randomized clinical trials of mental health apps for depression and anxiety?

Findings This systematic review and meta-analysis of 79 randomized trials found high rates of app uptake (94%) and moderate adherence (62%) among participants with depression or anxiety. Posttest attrition averaged 17%, and follow-up attrition was 27%.

Meaning These findings highlight the need to optimize app design and trial protocols to improve engagement and reduce attrition in digital interventions for depression and anxiety.

New on-switch for pain signaling pathway could lead to safer treatment and relief

Researchers at Tulane University, with a team of colleagues from eight other universities, have discovered a new nerve cell signaling mechanism that could transform our understanding of pain and lead to safer, more effective treatments.

The study, co-led by Matthew Dalva, director of the Tulane Brain Institute and professor of cell and in the School of Science and Engineering and Ted Price at the University of Texas at Dallas, reveals that neurons can release an enzyme outside the cell that switches on pain signaling after injury. The work, published in Science, offers new insight into how strengthen their connections during learning and memory.

“This finding changes our fundamental understanding of how neurons communicate,” Dalva said. “We’ve discovered that an enzyme released by neurons can modify proteins on the outside of other cells to turn on pain signaling—without affecting normal movement or sensation.”

Aging alters the protein landscape in the brain — diet can counteract this

A study by the Leibniz Institute on Aging – Fritz Lipmann Institute (FLI) in Jena shows that the chemical composition of proteins in the brain undergoes fundamental changes with aging. In particular, ubiquitylation—a process that marks proteins and thus controls their activity and degradation—undergoes drastic changes in the aging brain. Interestingly, a change in nutrition, such as short-term dietary restriction, can partially revert some of these molecular patterns. These findings open up new opportunities to better understand the aging process of the brain and related diseases.

Cerebrospinal fluid motion in the brain captured in remarkable detail

Cerebrospinal fluid (CSF) is a clear and watery liquid that flows in and around the brain and spinal cord. Its functions include protecting parts of the nervous system, delivering nutrients and removing metabolic waste.

Some neurological diseases, including Alzheimer’s disease, have been linked to the abnormal accumulation of proteins in the brain, which can cause damage to neurons. This accumulation of proteins could potentially be linked to variations in the flow of CSF in specific brain regions.

Researchers at Leiden University Medical Center, University of Amsterdam and the German Center for Neurodegenerative Diseases (DZNE) recently developed a new approach to study the motion of CSF, which is based on the widely used imaging technique magnetic resonance imaging (MRI).

Nighttime phone use linked to higher levels of suicidal thoughts in high-risk adults

Patterns of smartphone use and their impact on mental health are being extensively studied due to the growing dependence of the device in people’s lives.

A recent study tracked late-night smartphone usage in 79 adults with recent suicidal thoughts for 28 days. People using phones late between 11 p.m. and 1 a.m. showed a higher risk of suicidal thoughts the next day, whereas those who actively used the keyboard beyond midnight hours showed a lower risk.

The findings are published in JAMA Network Open.

/* */