A secondary analysis of the Fragile Families and Child Wellbeing Study (Fragile Families) found a bi-directional relationship where a mother's mental health symptoms impacted the child's mental health symptoms and vice versa, according to researchers.

A new study finds that the prevalence of type 2 diabetes (T2D) is elevated in people with a psychiatric disorder compared with the general population.

New studies quantify the effect of the COVID pandemic on health care workers' sleep patterns and the potential damaging consequences of sleep disturbance on their mental health.

A new study has found that cognitive behavioral therapy (CBT-I) prevented major depression, decreasing the likelihood of depression by over 50% as compared to sleep education therapy in adults over the age of 60 with insomnia.

Eliminating GPR158 activity in stressed mice made them resistant to depression and anxiety. A new study in the journal Science reveals the unusual brain receptor's structure, and possible ways a medication might reduce its sway.

Children who live with a parent who has depression are more likely to develop depression and to not achieve educational milestones, according to a new study.

Using a new model of brain activity, computational neuroscientists are exploring striking bursts of activity in the human brain that have not been examined before. These bursts may have potential to serve as biomarkers for brain disease and conditions such as depression, schizophrenia, dementia, and ADHD.

A 13-year effort to track the mental health of new doctors in their most stressful time of training shows signs that things have gotten better. But those first-year residents, also called interns, still have a sizable risk of developing depression. And many who do still don't seek help.

The thickness of growth marks in primary (or 'baby') teeth may help identify children at risk for depression and other mental health disorders later in life, according to a ground-breaking investigation.

The outcome predictive models were developed in part using data from a large multi-center study. The findings provide strong evidence that the current trial-and-error approach used in clinical practice for the selection of the right antidepressant can be replaced with this new precision medicine approach.