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We sought to describe the prevalence and distribution of MCR and to explore the clinical, biological, and neuroimaging profiles for MCR in rural\u2010dwelling Chinese older adults.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This population\u2010based study included 5021 dementia\u2010 and disability\u2010free participants (mean age 70.3 years) in MIND\u2010China. Of these, data were available in 1186 for blood biomarkers of Alzheimer's disease and vascular injury and in 1159 for structural brain magnetic resonance imaging biomarkers. MCR was defined as having both subjective memory complaints and gait speed \u22651 standard deviation below the age\u2010 and sex\u2010specific means. Data were analyzed using logistic regression models and voxel\u2010based morphometry methods.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The overall prevalence of MCR was 13.58%, which was higher in females than in males and increased with age. Controlling for demographic and lifestyle factors, obesity, diabetes, dyslipidemia, coronary heart disease, stroke, osteoarthritis, hip fracture, and depressive symptoms were significantly associated with an elevated likelihood of MCR (\n                      <jats:italic>p\u00a0<\/jats:italic>\n                      &lt;\u00a00.05). MCR was significantly associated with smaller volumes of the total brain tissue, thalamus, hippocampus, cerebellum, insula, supplementary motor area, and inferior frontal gyrus, higher volumes of white matter hyperintensities, and an increased likelihood of lacunes (all\n                      <jats:italic>p\u00a0<\/jats:italic>\n                      &lt;\u00a00.05), but not with any of the examined blood biomarkers (\n                      <jats:italic>p\u00a0<\/jats:italic>\n                      &gt;\u00a00.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>MCR affects approximately one\u2010seventh of rural\u2010dwelling Chinese older adults. The clinical and neuroimaging profiles for MCR are characterized by cardiometabolic disorders, osteoarthritis, hip fracture, and depressive symptoms as well as global and regional brain atrophy and cerebral microvascular lesions.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/joim.20068","type":"journal-article","created":{"date-parts":[[2025,2,11]],"date-time":"2025-02-11T09:49:57Z","timestamp":1739267397000},"page":"409-422","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Clinical, biological, and neuroimaging profiles for motoric cognitive risk syndrome in older adults: The MIND\u2010China study"],"prefix":"10.1111","volume":"297","author":[{"given":"Xiaolei","family":"Han","sequence":"first","affiliation":[{"name":"Key Laboratory of Endocrine Glucose &amp; Lipids Metabolism and Brain Aging Department of Neurology Ministry of Education Shandong Provincial Hospital Affiliated to Shandong First Medical University  Jinan Shandong P. 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