The purpose of this project was to assess the effects of spaced-retrieval training (SRT) on learning of new and previously known associations by individuals with dementia in two treatment conditions: one in which the recall intervals were filled with activities unrelated to the information being learned (unrelated condition) and one in which the intervals were filled with related activities (related condition). Thirty-two individuals with mild to moderate dementia (30 with a diagnosis of Alzheimer's disease; two with vascular dementia) participated in the study. On average, participants learned the associations in fewer than four sessions and retained the information for variable amounts of time, up to 6 weeks. Previously known associations were learned significantly faster than new associations. The modified SRT format, in which the within-session recall intervals were filled with information related to the target association, did not result in faster learning or longer retention of learned associations. Participants learned previously known associations in the standard SRT format (with unrelated information in the recall intervals) significantly faster than new associations taught in the modified SRT condition. Cognitive impairment, as measured by the Mini-Mental State Examination, was significantly correlated with time to learn new associations, but did not explain a large proportion of the variance in new learning. Theoretical and clinical implications are discussed.
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http://dx.doi.org/10.1080/09602010902937590 | DOI Listing |
Int J Clin Health Psychol
January 2025
Department of Psychology and Neurosciences, Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany.
Fear extinction is the foundation of exposure therapy for anxiety and phobias. However, the stability of extinction memory diminishes over time, coinciding with fear recovery. To augment long-term extinction retention, the temporal distribution of extinction learning sessions is critical.
View Article and Find Full Text PDFFront Nutr
January 2025
Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Background: Coffee is a physiologically active food component prevalent throughout the world, but the association between caffeine intake and benign prostatic hyperplasia (BPH) has been limited in extensive epidemiological studies.
Methods: We conducted a cross-sectional study to evaluate the association between caffeine intake and BPH in adults in the United States using data from the National Health and Nutrition Examination Survey (NHANES) 2005-2008. Caffeine intake (mg/day) was evaluated based on a 24-h dietary recall.
J Magn Reson Imaging
January 2025
Department of Radiology, Peking University Third Hospital, Beijing, China.
Background: The spinal column is a frequent site for metastases, affecting over 30% of solid tumor patients. Identifying the primary tumor is essential for guiding clinical decisions but often requires resource-intensive diagnostics.
Purpose: To develop and validate artificial intelligence (AI) models using noncontrast MRI to identify primary sites of spinal metastases, aiming to enhance diagnostic efficiency.
Bone Rep
March 2025
Department of pediatrics, Liaocheng Second People's Hospital, Liaocheng 252600, China.
Introduction: Adolescents with a lower peak bone mineral density (BMD) and bone mineral content (BMC) have an elevated risk of osteoporosis in adulthood. The impact of diet on bone health, particularly its role in managing inflammation, which is a key factor in bone health, is gaining wider recognition. Despite evidence that anti-inflammatory diets can enhance bone health, the link between the dietary inflammatory index (DII) and bone health among US adolescents has not been thoroughly investigated.
View Article and Find Full Text PDFOphthalmol Sci
November 2024
Casey Eye Institute, Oregon Health & Science University, Portland, Oregon.
Objective: This study develops and evaluates multimodal machine learning models for differentiating bacterial and fungal keratitis using a prospective representative dataset from South India.
Design: Machine learning classifier training and validation study.
Participants: Five hundred ninety-nine subjects diagnosed with acute infectious keratitis at Aravind Eye Hospital in Madurai, India.
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