The primary purposes of the present study were to examine age differences in adaptive decision making and to evaluate the role of numeracy in mediating the relationship between age and adaptive decision making. Adaptive decision making was assessed by the Cups task (Levin, Weller, Pederson, & Harshman, 2007). Forty-six younger (18 to 24 years old) and 37 older adults (61 to 89 years old) completed the Cups task. In addition, the Numeracy Scale (Lipkus, Samsa, & Rimer, 2001) was used to measure individual numeric ability. Adaptive decision making was operationalized by the Expected Value sensitivity (i.e., the product of probability and outcome magnitudes) across the gain and the loss domains. Older adults had significantly lower Expected Value sensitivity than young adults. In addition, older adults demonstrated significantly lower numeracy than younger adults. Finally, numeracy partially mediated the relationship between age and adaptive decision making. It is suggested that older adults' declined decision making may be partially due to their declined numeric abilities. Implications were discussed in numeracy education and public policies concerning older adults.
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http://dx.doi.org/10.1080/03601277.2014.900263 | DOI Listing |
Aust Vet J
January 2025
Vetnostics, Macquarie Park, New South Wales, Australia.
Objective: Patient characteristics of Cushing's syndrome differ between countries and have not been assessed in the Australian dog population. This study describes signalment and distribution of adrenocorticotropic hormone (ACTH)-dependent hypercortisolism (ADH) and ACTH-independent hypercortisolism (AIH) in Australian dogs.
Animals: Two-hundred client-owned dogs that had endogenous ACTH concentrations measured by radioimmunoassay.
Cancer Innov
February 2025
Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Department of Pediatric Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Institute of Pediatrics Guangzhou Medical University Guangzhou Guangdong China.
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View Article and Find Full Text PDFAnn Transl Med
December 2024
Department of Cardiovascular Medicine, University of Kansas Medical Center, Kansas City, KS, USA.
Background: Patients with end-stage kidney disease (ESKD) are at high risk for coronary artery disease. We investigate the trends and outcomes of percutaneous coronary intervention (PCI) for stable ischemic heart disease (SIHD) in patients with ESKD.
Methods: We utilized the United States Renal Data System [2010-2018] to include adult patients with ESKD on dialysis for at least 3 months who underwent PCI for SIHD.
Ann Transl Med
December 2024
Department of Neurosurgery, Providence Neuroscience Center Everett, Everett, WA, USA.
Background: Robotic assistance has become increasingly prevalent in spinal surgery in recent years, emerging as a tool to increase accuracy and precision and lower complication rates and radiation exposure. The 7 and 8 Annual Seattle Science Foundation (SSF) Robotics Courses showcased presentations and demonstrations from some of the field's most experiences leaders on latest topics in robotics and spinal surgery, including cutting-edge preoperative planning technologies, augmented reality (AR) in the operating room, cervical fusion with transpedicular screws, and neuro-oncologic management. We provide a scoping review of the use of robotics technology in spinal surgery featuring highlights from the 7 and 8 Annual SSF Robotics Courses.
View Article and Find Full Text PDFWorld J Gastrointest Oncol
January 2025
Chongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing 400030, China.
Background: Esophageal carcinoma (EC) presents a significant public health issue in China, with its prognosis impacted by myriad factors. The creation of a reliable prognostic model for the overall survival (OS) of EC patients promises to greatly advance the customization of treatment approaches.
Aim: To create a more systematic and practical model that incorporates clinically significant indicators to support decision-making in clinical settings.
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