Muscular function: An alternative way to identify cognitive impairment—secondary analysis from SABE‐Colombia. (31st December 2021)

• Record Type: Journal Article
• Authors: Garcia‐Cifuentes, Elkin; Botero‐Rodríguez, Felipe; Velandia, Felipe Ramirez; Iragorri, Angela; Márquez, Isabel C; Gelvis, Geronimo; Acosta, Maria‐Fernanda; Jaramillo‐Jimenez, Alberto; Lopera, Francisco; Cano‐Gutierrez, Carlos Alberto
• Is Part Of: Alzheimer's & dementia. Volume 17(2021)Supplement 5
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-12-31
• Subjects: Alzheimer's disease -- Periodicals; Alzheimer Disease -- Periodicals; Dementia -- Periodicals; Démence; Maladie d'Alzheimer; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 616.83
• DOI: 10.1002/alz.050392
• Languages: English
• ISSNs: 1552-5260

Abstract

Abstract: Background: Traditionally, the identification of cognitive impairment is based on neuropsychological tests and supported with not widely available biomarkers. This study aimed to establish the association between motor function (Gait Speed and Handgrip Strength) and the performance in a global cognitive performance and various cognitive domains. Our secondary objective was to determine a cut‐off point for Gait Speed and Handgrip Strength to classify older adults as cognitively impaired. Method: This is a secondary analysis from the SABE Colombia study (Health, Well‐Being, and Aging) conducted in 2015. We performed linear regression models, to establish association with motor function, clinical, and sociodemographic variables, and predict the scores of the Mini‐mental State Examination and its domains (i.e. orientation, recall, counting, and language). The evaluation of the motor function variables as an instrument to separate cognitively impaired older adults was evaluated by developing a receiving operating characteristic curve (ROC). Result: Gait speed was associated with orientation (r 2 = 0.16), language (r 2 = 0.15), recall memory (r 2 = 0.14) and counting (r 2 = 0.08). Similarly, handgrip strength was associated with orientation (r 2 = 0.175), language (r 2 = 0.164), recall memory (r 2 = 0.137), and counting (r 2 = 0.08). Slow gait had a cut‐off point of 0, 59 m/s, with an area under the curve (AUC) of 0.629 (0.613‐0.646), whereas a weak handgrip strength had an AUC of 0.653 (0.645‐0.661), with a cut‐off point of 17.50 Kg for separating those older adults with cognitive impairment. Conclusion: Gait Speed or Handgrip Strength are similarly associated with cognitive performance, exhibiting the larger associations with orientation and language domains. Gait Speed and Handgrip Strength can be easily performed by any clinician and seems to be useful screening tools to detect cognitive impairment.