{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T04:02:58Z","timestamp":1765944178686,"version":"3.48.0"},"reference-count":72,"publisher":"Cambridge University Press (CUP)","issue":"5-6","license":[{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"unspecified","delay-in-days":92,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Int Neuropsychol Soc"],"published-print":{"date-parts":[[2025,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec id=\"S1355617725101276_as1\">\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>Because of the complexity of Alzheimer\u2019s Disease (AD) clinical presentations across bio-psycho-social domains of functioning, data-reduction approaches, such as latent profile analysis (LPA), can be useful for studying profiles rather than individual symptoms. Previous LPA research has resulted in more precise characterization and understanding of patients, better clarity regarding the probability and rate of disease progression, and an empirical approach to identifying those who might benefit most from early intervention. Whereas previous LPA research has revealed useful cognitive, neuropsychiatric, or functional subtypes of patients with AD, no study has identified patient profiles that span the domains of health and functioning and that also include motor and sensory functioning.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S1355617725101276_as2\">\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>LPA was conducted with data from the Advancing Reliable Measurement in Alzheimer\u2019s Disease and cognitive Aging study. Participants were 209 older adults with amnestic mild cognitive impairment (aMCI) or mild dementia of the Alzheimer\u2019s type (DAT). LPA indicator variables were from the NIH Toolbox\u00ae and included cognitive, emotional, social, motor, and sensory domains of functioning.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S1355617725101276_as3\">\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>The data were best modeled with a 4-profile solution. The latent profiles were most differentiated by indices of social and emotional functioning and least differentiated by motor and sensory function.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S1355617725101276_as4\">\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>These multi-domain patient profiles support and extend previous findings on single-domain profiles and highlight the importance of social and emotional factors for understanding patient experiences of aMCI\/DAT. Future research should investigate these profiles further to better understand risk and resilience factors, the stability of these profiles over time, and responses to intervention.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1017\/s1355617725101276","type":"journal-article","created":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T08:29:03Z","timestamp":1756715343000},"page":"373-383","source":"Crossref","is-referenced-by-count":0,"title":["Cross-domain latent profiles of MCI and dementia are most differentiated by social and emotional functioning"],"prefix":"10.1017","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9609-2461","authenticated-orcid":false,"given":"Matthew L.","family":"Cohen","sequence":"first","affiliation":[{"name":"University of Delaware"},{"name":"University of Delaware"},{"name":"University of Delaware"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aaron J.","family":"Boulton","sequence":"additional","affiliation":[{"name":"University of Delaware"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2945-392X","authenticated-orcid":false,"given":"Callie E.","family":"Tyner","sequence":"additional","affiliation":[{"name":"University of Delaware"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jerry","family":"Slotkin","sequence":"additional","affiliation":[{"name":"University of Delaware"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sandra","family":"Weintraub","sequence":"additional","affiliation":[{"name":"Mesulam Center for Cognitive Neurology and Alzheimer\u2019s Disease"},{"name":"Department of Psychiatry and Behavioral Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richard C.","family":"Gershon","sequence":"additional","affiliation":[{"name":"Department of Medical Social Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiroko H.","family":"Dodge","sequence":"additional","affiliation":[{"name":"Harvard Medical School"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David S.","family":"Tulsky","sequence":"additional","affiliation":[{"name":"University of Delaware"},{"name":"University of Delaware"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2025,9,1]]},"reference":[{"key":"S1355617725101276_ref24","doi-asserted-by":"publisher","DOI":"10.1002\/alz.068164"},{"key":"S1355617725101276_ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2014.03.005"},{"key":"S1355617725101276_ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-08518-5_11"},{"key":"S1355617725101276_ref53","doi-asserted-by":"publisher","DOI":"10.1093\/arclin\/acac043"},{"key":"S1355617725101276_ref25","unstructured":"Gokarakonda, S. , & Kumar, N. 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