ArticleJournal of the International Neuropsychological Society : JINS2019
Latent Classes of Cognitive Functioning Among Depressed Older Adults Without Dementia.
Article in Journal of the International Neuropsychological Society : JINS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Evidence for Structural and Functional Alterations of Frontal-Executive and Corticolimbic Circuits in Late-Life Depression and Relationship to Mild Cognitive Impairment and Dementia: A Systematic Review.Frontiers in neuroscience · 2020Pooled it
- The ADNI Administrative Core: Ensuring ADNI's success and informing future AD clinical trials.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Racial Differences in Older Adult's Mental Health and Cognitive Symptomatology: Identifying Subgroups Using Multiple-Group Latent Class Analysis.Journal of aging and health · 2024Article
- Multidimensional health heterogeneity of Chinese older adults and its determinants.SSM - population health · 2023Article
- Baseline Profiles of Drug Prescriptions Prior to Diagnosis of Mild Cognitive Impairment (MCI) Obtained by Latent Class Analysis (LCA), and Assessment of Their Association with Conversion to Dementia.Healthcare (Basel, Switzerland) · 2023Article
- Cognitive phenotypes in late-life depression.International psychogeriatrics · 2023Observational
- Molecular imaging of beta-amyloid deposition in late-life depression.Neurobiology of aging · 2021Article
- Brooding rumination predicts lower cognitive functioning in late-life depression: multivariate multiple regression analyses.Journal of clinical and experimental neuropsychologyArticle
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 2 countries.
Funding
Abstract
objectiveUse latent class analysis (LCA) to identify patterns of cognitive functioning in a sample of older adults with clinical depression and without dementia and assess demographic, psychiatric, and neurobiological predictors of class membership.
methodNeuropsychological assessment data from 121 participants in the Alzheimer's Disease Neuroimaging Initiative-Depression project (ADNI-D) were analyzed, including measures of executive functioning, verbal and visual memory, visuospatial and language functioning, and processing speed. These data were analyzed using LCA, with predictors of class membership such as depression severity, depression and treatment history, amyloid burden, and APOE e4 allele also assessed.
resultsA two-class model of cognitive functioning best fit the data, with the Lower Cognitive Class (46.1% of the sample) performing approximately one standard deviation below the Higher Cognitive Class (53.9%) on most tests. When predictors of class membership were assessed, carrying an APOE e4 allele was significantly associated with membership in the Lower Cognitive Class. Demographic characteristics, age of depression onset, depression severity, history of psychopharmacological treatment for depression, and amyloid positivity did not predict class membership.
conclusionLCA allows for identification of subgroups of cognitive functioning in a mostly cognitively intact late life depression (LLD) population. One subgroup, the Lower Cognitive Class, more likely to carry an APOE e4 allele, may be at a greater risk for subsequent cognitive decline, even though current performance on neuropsychological testing is within normal limits. These findings have implications for early identification of those at greatest risk, risk factors, and avenues for preventive intervention.
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