Items Tagged with 'Alcohol use'

Drinking moderate to heavy amounts of alcohol in your 20s and 30s may increase your risk of stroke during early adulthood, results of a recent study out of South Korea suggest.

Boston — Employees who use illicit substances have increased absenteeism – a “compelling argument” for employers to promote employee treatment programs, results of a recent Boston University study show.

Drinking alcohol – even at levels considered safe – could lead to heart failure, a team of Irish researchers is warning.

Alcohol, cannabis, prescription drugs, fatigue and mental distress can all cause impairment in the workplace. “Impairment risks are everyone’s responsibility,” the National Safety Council says.

St. Louis — Employees with severe alcohol use disorder miss more than twice as many workdays because of illness, injury or simply skipping work, researchers from the Washington University in St. Louis School of Medicine say.

Washington — Maritime workers are more likely to report smoking and binge-drinking, among other habits and conditions, according to a recent study conducted by NIOSH.

San Francisco — Chicken wings and chili aren’t the only potential overindulgences to be careful about on Super Bowl Sunday. Researchers at the University of California, San Francisco, are warning that excessive alcohol consumption during major sporting events and holidays may increase your risk of an episode of atrial fibrillation – an abnormal heart rhythm that can trigger serious health problems.

Tempe, AZ — Stress may be more likely to prompt heavy drinking among women than men, a recent study from Arizona State University shows.

Berlin — Electric scooter-related injuries are more likely to occur on weekends and among risky riders who are under the influence of alcohol, results of a recent study out of Germany show.

University Park, PA — Using the words young adults say to describe how they’re feeling while drinking alcohol, researchers from Pennsylvania State University have developed a scale they claim effectively predicts whether young people will engage in risky behaviors such as driving while under the influence.