A predictive study on HCV using automated machine learning models.

Hepatitis C virus (HCV) infection represents a significant contributor to chronic liver disease on a global scale. The prompt identification and management of HCV are imperative in order to avert complications and to maintain control over the disease. Nowadays, medical decision support systems that incorporate advanced diagnostic methods and effective treatment strategies are of great importance in order to make significant progress in the fight against HCV.

Behavioral variables associated with obesity in police officers.

Past research has documented that non-behavioral variables (such as long work hours, exposure to police stressors) are associated with obesity risk in police officers, but limited research has examined behavioral variables that might be targeted by Employee Assistance Programs for police weight management. The present study compared non-obese and obese officers for behavioral variables found associated with obesity in other adult samples: physical activity (cardiovascular, strength-training, stretching), sleep duration, and consumption of alcohol, fruit and vegetables, and snack foods. Participants included 172 male police officers who completed questionnaires to report height and weight, used to calculate body mass index (BMI = kg/m(2)) and to divide them into "non-obese" and "obese" groups.

Adult violence with the mother and sibling as predictors of partner violence.

The present study provides the first available evaluation of how violence with the mother and siblings during adulthood is associated with the occurrence of partner violence in young adults. Because a pattern of reciprocal partner violence is well documented, the authors hypothesized that reciprocal violence would also be found for adults and their mothers and for adults and their siblings. The authors also hypothesized that reciprocal violence with the mother and sisters would explain variance in partner violence even when controlling for other known predictors (poverty, poor family support, stress, anger, low self-esteem).