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Tailored interventions require comparisons of high\u2010 and middle\u2010income 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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Data from adults aged \u226565\u2009years (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200920,036, mean age 71.2(SD 6.2)\u201480.1(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\u2010 and sex\u2010adjusted logistic regression models. A meta\u2010analysis was performed to compare risk factors for MCR in high\u2010 versus middle\u2010income countries.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Except 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\u2010 and middle\u2010income countries. Others (i.e., obesity) were specific to high\u2010income countries.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>This cross\u2010sectional, cross\u2010national study identified new, shared, and specific risk factors associated with MCR in high\u2010 and middle\u2010income countries, providing insights to develop public health approaches and interventions to forestall the onset of dementia in those with MCR.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jgs.19032","type":"journal-article","created":{"date-parts":[[2024,6,14]],"date-time":"2024-06-14T03:59:29Z","timestamp":1718337569000},"page":"2656-2666","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Risk factors associated with the Motoric Cognitive Risk syndrome: A meta\u2010analysis of data from a cross\u2010national study"],"prefix":"10.1111","volume":"72","author":[{"given":"O.","family":"Jayakody","sequence":"first","affiliation":[{"name":"Department of Medicine Albert Einstein College of Medicine  Bronx New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0275-6616","authenticated-orcid":false,"given":"H. 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