Androgynous, masculine, feminine, and undifferentiated women, as determined by the Bern Sex Role Inventory, were compared on the three validity and ten clinical scales of the MMPI. Two samples of women were included: Female college students and a group of upper middle-class suburban housewives. No significant differences emerged in the housewife sample. Among college women, androgynous and masculine women did not differ in adjustment, and both groups were better adjusted (i.e., less depressed, anxious, tense, and less socially introverted) than the undifferentiated women. A cross-validation study with a comparable student sample essentially replicated the results of the first study. Rather than supporting Bem's (1974) hypothesis of better psychological adjustment in androgynous persons, results were interpreted as providing support for the notion that masculinity is associated with equally good adjustment as androgyny in college women.
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http://dx.doi.org/10.1207/s15327752jpa4606_9 | DOI Listing |
Stroke
January 2025
Department of Neurology, University of Pennsylvania, PA. (L.I., S.E.Z., S.E.K., B.L.C.).
Background: A modified computed tomography angiography (CTA)-based Carotid Plaque Reporting and Data System (Plaque-RADS) classification was applied to a cohort of patients with embolic stroke of undetermined source to test whether high-risk Plaque-RADS subtypes are more prevalent on the ipsilateral side of stroke. With the widespread use of CTA for stroke evaluation, a CTA-based Plaque-RADS would be valuable for generalizability.
Methods: A retrospective observational cross-sectional study was conducted at a single integrated health system comprised of 3 hospitals with a comprehensive stroke center between October 1, 2015, and April 1, 2017.
Circ Genom Precis Med
January 2025
Garvan Institute of Medical Research, University of New South Wales, Sydney, Australia. (A.B., J.S., A.C., J.I.).
Background: Females with hypertrophic cardiomyopathy present at a more advanced stage of the disease and have a higher risk of heart failure and death. The factors behind these differences are unclear. We aimed to investigate sex-related differences in clinical and genetic factors affecting adverse outcomes in the Sarcomeric Human Cardiomyopathy Registry.
View Article and Find Full Text PDFHealth Educ Behav
January 2025
NYU, New York, NY, USA.
Heavy drinking is a major public health concern, particularly among young adults who often experience fear of being stigmatized when seeking help for alcohol-related problems. To address drinking concerns outside clinical settings, we tested the feasibility of a novel imagery-based behavior change strategy led by student lay interventionists in a college setting. Participants were adults recruited on a college campus and were randomized to either learn the four steps of WOOP (Wish, Outcome, Obstacle, and Plan) or to learn a format-matched Sham WOOP (Wish, Outcome, "Outcome," and Plan).
View Article and Find Full Text PDFArch Bone Jt Surg
January 2024
Montefiore Medical Center - Department of Orthopedic Surgery, Bronx, New York, USA.
Objectives: Return to the Emergency Department (ED) within 90-days following arthroscopic shoulder surgery represents a potential source of increased healthcare expenditures. Understanding the risk factors could bring about interventions aimed at reducing its prevalence.
Methods: A retrospective review of all shoulder arthroscopies undertaken at a single academic institution from February 2016 through November 2023 was performed.
Front Public Health
January 2025
Department of Computer Science, College of Engineering and Computer Science, Jazan University, Jazan, Saudi Arabia.
Introduction: The growing demand for real-time, affordable, and accessible healthcare has underscored the need for advanced technologies that can provide timely health monitoring. One such area is predicting arterial blood pressure (BP) using non-invasive methods, which is crucial for managing cardiovascular diseases. This research aims to address the limitations of current healthcare systems, particularly in remote areas, by leveraging deep learning techniques in Smart Health Monitoring (SHM).
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