Navigating the Role of Anti-Obesity Agents Prior to Pregnancy: A Narrative Review.

Utilization of anti-obesity agents is rising in reproductive-age females with some planning for future pregnancy. Lifestyle-induced weight loss has been shown to increase spontaneous conception rate, improve rates of fertility intervention complications, and decrease pregnancy comorbidities. However, the definitive role of assisting weight loss with medication prior to pregnancy remains to be established.

Racial discrimination, self-efficacy, and oral health behaviours in adolescents.

To examine the mediation effect of discrimination on the association of self-efficacy and oral health behaviours among adolescents. A cross sectional study of adolescents aged 12 to 18 years who were recruited from the University outpatient dental clinic were asked to complete a questionnaire consisting of: demographics (12 items), oral health behaviours (7 items), general self-efficacy (10 items) and self-efficacy for self-care (SESS, 15 items). Perceived discrimination was assessed if the adolescent had ever been treated unfairly based on their race.

Associations between perceived self-efficacy and oral health behaviours in adolescents.

Objectives: Self-efficacy is a strong health predictor as it affects patients' certainty about their ability to perform recommended behaviours to improve their health. The aim of this study was to examine the associations between perceived self-efficacy and oral health behaviours among adolescents.

Methods: A convenience sample of adolescents aged 12 to 18 years old was recruited from the University of Alberta dental clinic.

Use of machine learning to select texture features in investigating the effects of axial loading on T-maps from magnetic resonance imaging of the lumbar discs.

Background: Recent advances in texture analysis and machine learning offer new opportunities to improve the application of imaging to intervertebral disc biomechanics. This study employed texture analysis and machine learning on MRIs to investigate the lumbar disc's response to loading.

Methods: Thirty-five volunteers (30 (SD 11) yrs.

Texture analysis in the classification of T -weighted magnetic resonance images in persons with and without low back pain.

Magnetic resonance imaging findings often do not distinguish between people with and without low back pain (LBP). However, there are still a large number of people who undergo magnetic resonance imaging to help determine the etiology of their back pain. Texture analysis shows promise for the classification of tissues that look similar, and machine learning can minimize the number of comparisons.