Objective: Cognitive decline is an important and well-documented health problem. The Mini-Cog, a simple cognitive function test, is recommended as a potential early cognitive screening tool. Kanagawa Prefecture, one of the largest prefectures in Japan, developed this self-testing application on a smartphone to enable a large number of residents to assess their cognitive function. This study aimed to verify the validity and reliability of the Mini-Cog.
Results: Twenty men and 20 women aged 65-85 years were enrolled. Criterion-related validity of the method tested by professional staff was found to have an acceptable positive association. The test-retest reliability was lower than the clinically expected intraclass correlation coefficient value because of the inclusion of learning and order effects. If the Mini-Cog score of this application is low, the system is equipped with a function that advises the users on preventing cognitive decline, directing them to the appropriate services, and recommending visits to a medical institution. Therefore, the system can be used continuously as a tool for health behaviors and promotions.
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http://dx.doi.org/10.1186/s13104-022-06101-4 | DOI Listing |
Endocrinol Diabetes Metab
January 2025
Universidad Autónoma de Madrid, Department of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, Madrid, Spain.
Purpose: To investigate the impact of clinical and socio-economic factors on glycaemic control and construct statistical models to predict optimal glycaemic control (OGC) after implementing intermittently scanned continuous glucose monitoring (isCGM) systems.
Methods: This retrospective study included 1072 type 1 diabetes patients (49.0% female) from three centres using isCGM systems.
Glob Adv Integr Med Health
December 2024
Patient Advisory Board.
Background: Cancer among young adults (18-39 years) is relatively rare, but remains a leading cause of disability, morbidity, and mortality. Identifying strategies to support young adults' health following a diagnosis of cancer is important. Yoga may enhance health and could be delivered by videoconference.
View Article and Find Full Text PDFHealth Informatics J
December 2024
The University of Queensland, Brisbane, QLD, Australia.
Objective: This study aimed to assess the practicality and trustworthiness of explainable artificial intelligence (XAI) methods used for explaining clinical predictive models.
Methods: Two popular XAIs used for explaining clinical predictive models were evaluated based on their ability to generate domain-appropriate representations, impact clinical workflow, and consistency. Explanations were benchmarked against true clinical deterioration triggers recorded in the data system and agreement was quantified.
J Korean Med Sci
December 2024
Division of Musculoskeletal and Dermatological Sciences, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Survey studies are valuable tools that can quickly and cost-effectively collect data from diverse populations across different cultures and locations. When conducted across multiple countries, careful translation and cross-cultural adaptation are necessary to maintain the validity and reliability of the findings. This point is particularly important for patient-facing questionnaires, especially in fields like psychology and sexual medicine.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!