Matthew L Cohen, Aaron J Boulton, Callie E Tyner, Jerry Slotkin, Sandra Weintraub, Richard C Gershon, Hiroko H Dodge, David S Tulsky
{"title":"MCI和痴呆的跨域潜在特征主要通过社会和情感功能来区分。","authors":"Matthew L Cohen, Aaron J Boulton, Callie E Tyner, Jerry Slotkin, Sandra Weintraub, Richard C Gershon, Hiroko H Dodge, David S Tulsky","doi":"10.1017/S1355617725101276","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Because of the complexity of Alzheimer's 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.</p><p><strong>Methods: </strong>LPA was conducted with data from the Advancing Reliable Measurement in Alzheimer's Disease and cognitive Aging study. Participants were 209 older adults with amnestic mild cognitive impairment (aMCI) or mild dementia of the Alzheimer's type (DAT). LPA indicator variables were from the NIH Toolbox® and included cognitive, emotional, social, motor, and sensory domains of functioning.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":49995,"journal":{"name":"Journal of the International Neuropsychological Society","volume":" ","pages":"1-11"},"PeriodicalIF":2.6000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12404670/pdf/","citationCount":"0","resultStr":"{\"title\":\"Cross-domain latent profiles of MCI and dementia are most differentiated by social and emotional functioning.\",\"authors\":\"Matthew L Cohen, Aaron J Boulton, Callie E Tyner, Jerry Slotkin, Sandra Weintraub, Richard C Gershon, Hiroko H Dodge, David S Tulsky\",\"doi\":\"10.1017/S1355617725101276\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Because of the complexity of Alzheimer's 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.</p><p><strong>Methods: </strong>LPA was conducted with data from the Advancing Reliable Measurement in Alzheimer's Disease and cognitive Aging study. Participants were 209 older adults with amnestic mild cognitive impairment (aMCI) or mild dementia of the Alzheimer's type (DAT). LPA indicator variables were from the NIH Toolbox® and included cognitive, emotional, social, motor, and sensory domains of functioning.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":49995,\"journal\":{\"name\":\"Journal of the International Neuropsychological Society\",\"volume\":\" \",\"pages\":\"1-11\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12404670/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the International Neuropsychological Society\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1017/S1355617725101276\",\"RegionNum\":4,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the International Neuropsychological Society","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1017/S1355617725101276","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Cross-domain latent profiles of MCI and dementia are most differentiated by social and emotional functioning.
Objective: Because of the complexity of Alzheimer's 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.
Methods: LPA was conducted with data from the Advancing Reliable Measurement in Alzheimer's Disease and cognitive Aging study. Participants were 209 older adults with amnestic mild cognitive impairment (aMCI) or mild dementia of the Alzheimer's type (DAT). LPA indicator variables were from the NIH Toolbox® and included cognitive, emotional, social, motor, and sensory domains of functioning.
Results: 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.
Conclusions: 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.
期刊介绍：
The Journal of the International Neuropsychological Society is the official journal of the International Neuropsychological Society, an organization of over 4,500 international members from a variety of disciplines. The Journal of the International Neuropsychological Society welcomes original, creative, high quality research papers covering all areas of neuropsychology. The focus of articles may be primarily experimental, applied, or clinical. Contributions will broadly reflect the interest of all areas of neuropsychology, including but not limited to: development of cognitive processes, brain-behavior relationships, adult and pediatric neuropsychology, neurobehavioral syndromes (such as aphasia or apraxia), and the interfaces of neuropsychology with related areas such as behavioral neurology, neuropsychiatry, genetics, and cognitive neuroscience. Papers that utilize behavioral, neuroimaging, and electrophysiological measures are appropriate.
To assure maximum flexibility and to promote diverse mechanisms of scholarly communication, the following formats are available in addition to a Regular Research Article: Brief Communication is a shorter research article; Rapid Communication is intended for "fast breaking" new work that does not yet justify a full length article and is placed on a fast review track; Case Report is a theoretically important and unique case study; Critical Review and Short Review are thoughtful considerations of topics of importance to neuropsychology and include meta-analyses; Dialogue provides a forum for publishing two distinct positions on controversial issues in a point-counterpoint format; Special Issue and Special Section consist of several articles linked thematically; Letter to the Editor responds to recent articles published in the Journal of the International Neuropsychological Society; and Book Review, which is considered but is no longer solicited.
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