Muscular function as an alternative to identify cognitive impairment : a secondary analysis from SABE Colombia

Antecedentes: La identificación del deterioro cognitivo se basa tradicionalmente en la pruebas neuropsicológicas y biomarcadores que no están ampliamente disponibles. Este estudio tuvo como objetivo establecer la asociación entre la función motora (velocidad de la marcha y fuerza) y el rendimiento cognitivo en el Mini-Examen del Estado Mental, a nivel mundial y por dominios. Un objetivo secundario fue calcular un punto de corte para la velocidad de la marcha y la prensión manual. fuerza para clasificar a los adultos mayores como con deterioro cognitivo. Métodos: Este es un análisis secundario de SABE Colombia (Salud, Bienestar & Envejecimiento), encuesta realizada en 2015 sobre salud, bienestar y envejecimiento en Colombia. Este estudio utilizó modelos de regresión lineal para buscar un asociación entre la función motora y el rendimiento cognitivo. La precisión del motor las mediciones de función en la identificación del deterioro cognitivo se evaluaron con el receptor curvas características de funcionamiento (ROC). Este estudio también analizó otros aspectos clínicos y variables sociodemográficas. Resultados: La velocidad de la marcha se asoció con la orientación (r2 = 0,16), idioma (r2 = 0.15), recordar memoria (r2 = 0.14), y contando (r2 = 0,08). Del mismo modo, la empuñadura la fuerza se asoció con la orientación (r2 = 0,175), idioma (r2 = 0.164), recordar memoria (r2 = 0.137), y contando (r2 = 0,08). Para diferenciar a los adultos mayores con y sin deterioro cognitivo, se tuvo un punto de corte de velocidad de la marcha de 0,59 m/s. un área bajo la curva (AUC) de 0,629 (0,613–0,646) y un agarre débil (resistencia por debajo de 17,5 kg) tenía un AUC de 0,653 (0,645-0,661). los puntos de corte para la fuerza de agarre y la velocidad de la marcha fueron significativamente mayores en los participantes masculinos. García-Cifuentes et al. Función muscular y deterioro cognitivo Conclusiones: La velocidad de la marcha y la fuerza de prensión se asocian de manera similar con la desempeño cognitivo, exhibiendo la asociación más extensa con la orientación y dominios lingüísticos del Mini-Examen del Estado Mental. Velocidad de marcha y prensión cualquier médico puede medir fácilmente la fuerza, y demuestran ser útiles para la detección herramientas para detectar el deterioro cognitivo. Palabras clave: velocidad de la marcha, fuerza de prensión manual, deterioro cognitivo, biomarcador, demencia preclínica, motora disfunciónQ2Q2Background: Identification of cognitive impairment is based traditionally on the neuropsychological tests and biomarkers that are not available widely. This study aimed to establish the association between motor function (gait speed and handgrip strength) and cognitive performance in the Mini-Mental State Examination, globally and by domains. A secondary goal was calculating a cut-off point for gait speed and handgrip strength to classify older adults as cognitively impaired. Methods: This is a secondary analysis of SABE Colombia (Salud, Bienestar & Envejecimiento), a survey that was conducted in 2015 on health, wellbeing, and aging in Colombia. This study used linear regression models to search for an association between motor function and cognitive performance. The accuracy of motor function measurements in identifying cognitive impairment was assessed with receiver operating characteristic (ROC) curves. This study also analyzed other clinical and sociodemographical variables. Results: Gait speed was associated with orientation (r2 = 0.16), language (r2 = 0.15), recall memory (r2 = 0.14), and counting (r2 = 0.08). Similarly, handgrip strength was associated with orientation (r2 = 0.175), language (r2 = 0.164), recall memory (r2 = 0.137), and counting (r2 = 0.08). To differentiate older adults with and without cognitive impairment, a gait speed cut-off point of 0.59 m/s had an area under the curve (AUC) of 0.629 (0.613–0.646), and a weak handgrip (strength below 17.5 kg) had an AUC of 0.653 (0.645-0.661). The cut-off points for handgrip strength and gait speed were significantly higher in male participants. Conclusions: Gait speed and handgrip strength are similarly associated with the cognitive performance, exhibiting the most extensive association with orientation and language domains of the Mini-Mental State Examination. Gait speed and handgrip strength can easily be measured by any clinician, and they prove to be useful screening tools to detect cognitive impairment.https://orcid.org/0000-0001-5680-7880https://scholar.google.com/citations?view_op=search_authors&mauthors=carlos+alberto+cano-gutierrez&hl=es&oi=aohttps://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000054895&lang=nullRevista Nacional - Indexad

Self-reported glaucoma prevalence and related factors, contribution to reported visual impairment, and functional burden in a cross-sectional study in Colombia

Objetivo Describir la prevalencia autorreportada de glaucoma en adultos mayores colombianos, enfatizando los factores de riesgo más importantes y las alteraciones funcionales de la vida diaria asociadas. Métodos Este es un análisis secundario de la encuesta de Salud, Bienestar y Envejecimiento realizada en el año 2015. El diagnóstico de glaucoma se obtuvo del autoinforme. Las variables funcionales se evaluaron mediante cuestionarios de actividades de la vida diaria. Se realizó un análisis descriptivo seguido de modelos de regresión bivariados y multivariados ajustando por variables de confusión. Resultados La prevalencia autoinformada de glaucoma fue de 5,67%, con mayor tasa en mujeres, OR 1,22 (1,13–1,40) p = ,003, mayor edad OR 1,02 (1,01–1,02) p < ,001, y con educación superior OR 1,38 (1,28 –1.50) p < .001. El glaucoma se asoció de forma independiente con diabetes OR 1,37 (1,18–1,61) p  < ,001 e hipertensión 1,26 (1,08–1,46) p = ,003. También mostró correlaciones estadísticamente significativas con mala SSR OR 1.15 (1.02–1.32) p < .001, discapacidad visual autoinformada 1.73 (1.50–2.01) p < .001 y deterioro en el manejo del dinero OR 1.59 (1.16–2.08) p = .002, compras de comestibles OR 1.57 (1.26–1.96) p < .001 y preparación de comidas OR 1.31 (1.06–1.63) p  = .013 y haber tenido caídas en el último año OR 1.14 (1.01–1.31) p = 0.041. Conclusión Nuestros hallazgos sugieren que la prevalencia autoinformada de glaucoma en adultos mayores en Colombia es más alta que los datos informados. El glaucoma y la discapacidad visual en adultos mayores representan un problema de salud pública, ya que el glaucoma se asoció con resultados adversos como pérdida funcional y riesgo de caídas, afectando la calidad de vida y su participación en la sociedad.Q2Q2Purpose Describe the self-reported prevalence of glaucoma in Colombian older adults, emphasizing the most important risk factors and associated daily-life functional alterations. Methods This a secondary analysis of the Health, Wellness, and Aging survey conducted in the year 2015. Diagnosis of glaucoma was obtained from self-report. Functional variables were assessed through activities of daily living questionnaires. A descriptive analysis followed by bivariate and multivariate regression models adjusting for confounding variables was conducted. Results Self-reported prevalence of glaucoma was 5.67%, with higher rate in women, OR 1.22 (1.13–1.40) p = .003, older age OR 1.02 (1.01–1.02) p < .001, and with higher education OR 1.38 (1.28–1.50) p < .001. Glaucoma was independently associated with diabetes OR 1.37 (1.18–1.61) p  < .001 and hypertension 1.26 (1.08–1.46) p = .003. It also showed statistically significant correlations with poor SRH OR 1.15 (1.02–1.32) p < .001, self-reported visual impairment 1.73 (1.50–2.01) p < .001, and impairment in money management OR 1.59 (1.16–2.08) p  = .002, grocery shopping OR 1.57 (1.26–1.96) p < .001 and preparing meals OR 1.31 (1.06–1.63) p  = .013 and having had falls during the last year OR 1.14 (1.01–1.31) p = 0.041. Conclusion Our findings suggest the self-reported prevalence of glaucoma in older adults in Colombia to be higher than reported data. Glaucoma and visual impairment in older adults represent a public health concern, since glaucoma was associated with adverse outcomes like functional loss and risk of falling, affecting the quality of life and their participation in society.https://orcid.org/0000-0001-5680-7880https://scholar.google.com/citations?view_op=search_authors&mauthors=carlos+alberto+cano-gutierrez&hl=es&oi=aohttps://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000054895Revista Internacional - IndexadaS

Muscular Function as an Alternative to Identify Cognitive Impairment: A Secondary Analysis From SABE Colombia

Background: Identification of cognitive impairment is based traditionally on the neuropsychological tests and biomarkers that are not available widely. This study aimed to establish the association between motor function (gait speed and handgrip strength) and cognitive performance in the Mini-Mental State Examination, globally and by domains. A secondary goal was calculating a cut-off point for gait speed and handgrip strength to classify older adults as cognitively impaired. Methods: This is a secondary analysis of SABE Colombia (Salud, Bienestar & Envejecimiento), a survey that was conducted in 2015 on health, wellbeing, and aging in Colombia. This study used linear regression models to search for an association between motor function and cognitive performance. The accuracy of motor function measurements in identifying cognitive impairment was assessed with receiver operating characteristic (ROC) curves. This study also analyzed other clinical and sociodemographical variables. Results: Gait speed was associated with orientation (r2 = 0.16), language (r2 = 0.15), recall memory (r2 = 0.14), and counting (r2 = 0.08). Similarly, handgrip strength was associated with orientation (r2 = 0.175), language (r2 = 0.164), recall memory (r2 = 0.137), and counting (r2 = 0.08). To differentiate older adults with and without cognitive impairment, a gait speed cut-off point of 0.59 m/s had an area under the curve (AUC) of 0.629 (0.613–0.646), and a weak handgrip (strength below 17.5 kg) had an AUC of 0.653 (0.645-0.661). The cut-off points for handgrip strength and gait speed were significantly higher in male participants. Conclusions: Gait speed and handgrip strength are similarly associated with the cognitive performance, exhibiting the most extensive association with orientation and language domains of the Mini-Mental State Examination. Gait speed and handgrip strength can easily be measured by any clinician, and they prove to be useful screening tools to detect cognitive impairment.publishedVersio