Obsessive-compulsive disorder (OCD) is clinically heterogeneous. The authors examined how specific OCD symptom dimensions were related to neuropsychological functions using multiple regression analyses. A total of 39 OCD patients and 40 controls completed the Iowa Gambling Task (IGT; A. Bechara, A. R. Damasio, H. Damasio, & S. W. Anderson, 1994), which is a test of decision making, and the Wisconsin Card Sorting Test (R. K. Heaton, 1981), which is a test of set shifting. OCD patients and controls showed comparable decision making. However, patients with prominent hoarding symptoms showed impaired decision making on the IGT as well as reduced skin conductance responses. OCD patients had poorer set shifting abilities than controls, and symmetry/ordering symptoms were negatively associated with set shifting. These results help explain previous inconsistent findings in neuropsychological research in OCD and support recent neuroimaging data showing dissociable neural mechanisms involved in mediating the different OCD symptom dimensions.
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http://dx.doi.org/10.1037/0894-4105.20.4.409 | DOI Listing |
Internationally, vaccination rates among adolescents with intellectual and developmental disability (IDD) are lower than those of the general population. Little research has addressed this issue. This study investigates the experiences of vaccinating adolescents with IDD in special education settings in Australia, with a focus on student engagement.
View Article and Find Full Text PDFPatient advocacy is a duty for professional nurses; however, not all nurses are empowered to advocate for meeting patients' needs. Participation in labor unions may serve as a venue for nurses with limited institutional decision-making authority to advocate for patient needs; however, unionization can be a time-intensive and fraught process. This study examined how nurses participating in a new union in an urban United States hospital described their reasons for participating in a labor union during collective bargaining.
View Article and Find Full Text PDFDiabetes Metab Res Rev
January 2025
Rush Alzheimer's Disease Centre, Rush University Medical Center, Chicago, Illinois, USA.
Diabetes increases the risk of dementia, and insulin resistance (IR) has emerged as a potential unifying feature. Here, we review published findings over the past 2 decades on the relation of diabetes and IR to brain health, including those related to cognition and neuropathology, in the Religious Orders Study, the Rush Memory and Aging Project, and the Minority Aging Research Study (ROS/MAP/MARS), three harmonised cohort studies of ageing and dementia at the Rush Alzheimer's Disease Center (RADC). A wide range of participant data, including information on medical conditions such as diabetes and neuropsychological tests, as well as other clinical and laboratory-based data collected annually.
View Article and Find Full Text PDFNutr Clin Pract
January 2025
School of Health Professions, Rutgers University, Newark, New Jersey, USA.
Background: There are numerous articles, book chapters, and published guidelines on the topic of clinical ethics in the use of artificially administered nutrition and hydration, which often incorporates end-of-life (EOL) nutrition care and support. Components of clinical ethics involve the importance of ethical principles, patient-centered care, and shared decision-making. However, there is sparse information on how to educate patients and caregivers on this subject.
View Article and Find Full Text PDFJ Dent Sci
January 2025
First Clinical Division, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Beijing, China.
Background/purpose: Artificial intelligence (AI) can assist in medical diagnosis owing to its high accuracy and efficiency. This study aimed to develop a diagnostic system for automatically determining the degree of tooth wear (TW) using intraoral photographs with deep learning.
Materials And Methods: The study included 388 intraoral photographs.
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