{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T23:06:35Z","timestamp":1785539195710,"version":"3.56.0"},"reference-count":65,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2023,5,19]],"date-time":"2023-05-19T00:00:00Z","timestamp":1684454400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Alzheimer\u2019s Disease"],"published-print":{"date-parts":[[2023,6,27]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Individuals with Alzheimer\u2019s disease (AD) often present with coexisting vascular pathology that is expressed to different degrees and can lead to clinical heterogeneity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>To examine the utility of unsupervised statistical clustering approaches in identifying neuropsychological (NP) test performance subtypes that closely correlate with carotid intima-media thickness (cIMT) in midlife.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>\n                      A hierarchical agglomerative and k-means clustering analysis based on NP scores (standardized for age, sex, and race) was conducted among 1,203 participants (age 48\u00b15.3 years) from the Bogalusa Heart Study. Regression models assessed the association between cIMT \u226550\n                      <jats:sup>th<\/jats:sup>\n                      percentile and NP profiles, and global cognitive score (GCS) tertiles for sensitivity analysis.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>Three NP profiles were identified: Mixed-low performance [16%, n\u200a=\u200a192], scores \u22651 SD below the mean on immediate, delayed free recall, recognition verbal memory, and information processing; Average [59%, n\u200a=\u200a704]; and Optimal [26%, n\u200a=\u200a307] NP performance. Participants with greater cIMT were more likely to have a Mixed-low profile [OR\u200a=\u200a3.10, 95% CI (2.13, 4.53), p\u200a&lt;\u200a0.001] compared to Optimal. After adjusting for education and cardiovascular (CV) risks, results remained. The association with GCS tertiles was more attenuated [lowest (34%, n\u200a=\u200a407) versus highest (33%, n\u200a=\u200a403) tertile: adjusted OR\u200a=\u200a1.66, 95% CI (1.07, 2.60), p\u200a=\u200a0.024].<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>As early as midlife, individuals with higher subclinical atherosclerosis were more likely to be in the Mixed-low profile, underscoring the potential malignancy of CV risk as related to NP test performance, suggesting that classification approaches may aid in identifying those at risk for AD\/vascular dementia spectrum illness.<\/jats:p>\n                  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