Risk factors associated with the Motoric Cognitive Risk syndrome: A meta‐analysis of data from a cross‐national study

Author:

Jayakody O.1,Blumen H. M.12ORCID,Breslin M.3,Wang C.1,Verghese J.12

Affiliation:

1. Department of Medicine Albert Einstein College of Medicine Bronx New York USA

2. Department of Medicine and Neurology Albert Einstein College of Medicine Bronx New York USA

3. Menzies Institute for Medical Research University of Tasmania Hobart Tasmania Australia

Abstract

AbstractBackgroundIdentifying risk factors associated with the Motoric Cognitive Risk (MCR) syndrome (a pre‐dementia syndrome) can assist in developing risk reduction strategies and interventions to delay progression to dementia. Tailored interventions require comparisons of high‐ and middle‐income countries to determine if the same or different risk factors should be targeted. We examined risk factors associated with MCR in seven Health and Retirement Studies with harmonized measures.MethodsData from adults aged ≥65 years (n = 20,036, mean age 71.2(SD 6.2)—80.1(SD 4.1)) from the U.S. Health and Retirement Study, English Longitudinal Study of Aging, Survey of Health, Aging and Retirement in Europe, China Health and Retirement Longitudinal Study, Harmonized Diagnostic Assessment of Dementia for Longitudinal Aging Study in India, Mexican Health and Aging Study, and Brazilian Longitudinal Study of Aging was included. MCR was defined as the presence of cognitive complaints and slow gait (no mobility disability and dementia). Associations of demographic [education], medical [hypertension, diabetes, heart disease, obesity, stroke, Parkinson's, falls], psychological [depressive symptoms, psychiatric problems], sensorimotor [grip strength, hearing], and behavioral factors [smoking, sedentariness, sleep], with prevalent MCR were examined using age‐ and sex‐adjusted logistic regression models. A meta‐analysis was performed to compare risk factors for MCR in high‐ versus middle‐income countries.ResultsExcept for depressive symptoms and weak grip strength, different risk factor clusters were associated with individual studies. Poor sleep, hearing, weak grip, and multiple falls emerged as novel associations with MCR. When grouped by income, some risk factors (i.e., education) were associated with MCR in high‐ and middle‐income countries. Others (i.e., obesity) were specific to high‐income countries.ConclusionsThis cross‐sectional, cross‐national study identified new, shared, and specific risk factors associated with MCR in high‐ and middle‐income countries, providing insights to develop public health approaches and interventions to forestall the onset of dementia in those with MCR.

Funder

National Institute on Aging

Publisher

Wiley

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