9 research outputs found

    Shared Risk Factors for Mood-, Eating-, and Weight-Related Health Outcomes

    Get PDF
    Objective: Given the overlap among depressive symptoms, disordered eating, and overweight, identifying shared risk factors for these conditions may inform public health interventions. This study aimed to examine cross-sectional and prospective relationships among these 3 conditions, and identify potential shared eating-related and psychosocial variable risk factors (i.e., body dissatisfaction, dieting, teasing experiences). Method: A population-based sample (n = 1,902) self-reported depressive symptoms, disordered eating (binge eating, extreme weight control behaviors), weight status, and several putative risk factors (body satisfaction, dieting frequency, weight-related teasing) at 5-year intervals spanning early/middle adolescence, middle adolescence/early young adulthood, and early/middle young adulthood. Results: There was moderate overlap among depressive symptoms, disordered eating, and overweight at each time point, and moderate stability in each condition over time. Body dissatisfaction and dieting were the most potent shared risk factors for later depressive symptoms, disordered eating, and overweight among males and females (ps \u3c .05). Conclusions: Depressive symptoms, disordered eating, and overweight share several risk factors, including dieting and body dissatisfaction, which may be effective targets for interventions aiming to simultaneously prevent these 3 conditions

    Exploring the Aggregation Propensity of ÎłS-Crystallin Protein Variants Using Two-Dimensional Spectroscopic Tools

    No full text
    The formation of amyloid fibrils is associated with many 20 serious diseases as well as diverse biological functions. Despite the importance of these aggregates, predicting the aggregation propensity of a particular sequence is a major challenge. We report a joint 2D Nuclear Magnetic Resonance (NMR) and ultraviolet (2DUV) study of fibrillization in the wild type and two aggregation-prone mutants of the eye-lens protein γS-crystallin. Simulations show that the complexity of 2DUV signals as measured by their ”approximate entropy” is a good indicator for the conformational entropy and in turn is strongly correlated with its aggregation propensity. These findings are in agreement with high-resolution NMR experiments and are corroborated for amyloid fibrils. The 2DUV technique is complementary to high-resolution structural methods and has the potential to make the evaluation of the aggregation propensity for protein variants propensity of protein structure more accessible to both theory and experiment. The approximate entropy of experimental 2DUV signals can be used for fast screening, enabling identification of variants with high fibrillization propensity for the much more time consuming NMR structural studies, potentially expediting the characterization of protein variants associated with cataract and other protein aggregation diseases

    Domestic Outsourcing in the United States: A Research Agenda to Assess Trends and Effects on Job Quality

    No full text
    corecore