Advanced machine learning may lead to the development of prediction models that can concurrently assess multiple relevant predictors of suicide.
Five-year estimates of health care costs were much higher for teens with self-harm versus controls.
In a real-world study, ARB users had a 63% higher risk for suicide than ACEI users.
Workplace injuries severe enough to warrant more than a week away from work may increase the risk for death among workers.
For low-income pregnant women, the prevalence of suicide ideation is 4.6 percent, with increased odds of suicide ideation for women with depression.
The Liverpool Adverse Events Profile questionnaire may be a useful tool for identifying people with epilepsy who may be at higher risk for suicidality.
Pain intensity may represent a reliable indicator of suicide risk in veterans.
Since 1990, the age-standardized mortality rate for suicide has decreased worldwide.
In addition to attachment styles, suicidal ideation was associated with variables such as obesity and living alone.
Patients with a cancer diagnosis have an increased risk for suicide during the first year after their diagnosis compared with the general population, with higher suicide rates for cancers with a poor prognosis.