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While sensory and motor impairments are each linked to MCI, their integrated contribution as a sensorimotor construct remains underexplored.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS<\/jats:title>\n                    <jats:p>\n                      We analyzed cross\u2010sectional data from two US cohorts: Atherosclerosis Risk in Communities (ARIC;\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a0880) and Baltimore Longitudinal Study of Aging (BLSA;\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a0681), excluding individuals with stroke, Parkinson's disease, or dementia. A composite sensorimotor score\u2014based on hearing, vision, olfaction, balance, gait speed, and grip strength\u2014was created using factor analysis. Structural equation modeling assessed associations with MCI, adjusting for key covariates.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>Higher sensorimotor function was associated with lower odds of MCI: ARIC odds ratio (OR)\u00a0=\u00a00.53 (95% confidence interval [CI]: 0.40\u20130.71); BLSA OR\u00a0=\u00a00.59 (95% CI: 0.43\u20130.81).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>DISCUSSION<\/jats:title>\n                    <jats:p>Sensorimotor function appears robustly related with MCI in a large sample of older adults. These findings highlight the potential value of incorporating sensorimotor assessments in early detection for cognitive decline. Longitudinal research is needed to understand temporality.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/alz.71332","type":"journal-article","created":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T11:00:18Z","timestamp":1778756418000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A sensorimotor function construct to assess mild cognitive impairment risk"],"prefix":"10.1002","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5763-5184","authenticated-orcid":false,"given":"Amal A.","family":"Wanigatunga","sequence":"first","affiliation":[{"name":"Johns Hopkins Bloomberg School of Public Health  Baltimore Maryland USA"},{"name":"Johns Hopkins Center on Aging and Health Johns Hopkins University  Baltimore Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hang","family":"Wang","sequence":"additional","affiliation":[{"name":"Johns Hopkins Bloomberg School of 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