The potential of depressive symptoms to identify cognitive impairment in ageing.
Depressive symptoms are common in mild cognitive impairment (MCI), dementia caused by Alzheimer's disease (AD dementia) and in cognitively unimpaired older adults. However, it is unclear whether they could contribute to the identification of cognitive impairment in ageing. To assess the potential ut...
| Publicado en: | European Journal of Ageing Vol. 22; no. 1; pp. 1 - 12 |
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| Autores principales: | , , , , , , , , , , , , , , , , , , , |
| Formato: | Artículo |
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Springer Nature
2/25/2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=183285539&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 183285539 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 16139372 3RAL jtl: European Journal of Ageing issn: 16139372 maglogo: N pubinfo: dt: 2/25/2025 vid: 22 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 183285539 10.1007/s10433-025-00837-1 ppf: 1 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P size: 675KB tig: atl: The potential of depressive symptoms to identify cognitive impairment in ageing. aug: au: Alexopoulos, Panagiotis Bountoulis, Christos Katirtzoglou, Everina Kosmidis, Mary H. Siarkos, Kostas Yannakoulia, Mary Dardiotis, Efthimios Skondra, Maria Hadjigeorgiou, Georgios Perneczky, Robert Sakka, Paraskevi Georgiou, Eleni-Zacharoula Charalampopoulou, Μarina Felemegkas, Panagiotis Leroi, Iracema Batsidis, Apostolos Perna, Laura Politis, Antonios Scarmeas, Nikolaos Economou, Polychronis affil: https://ror.org/017wvtq80 Department of Medicine, School of Health Sciences, Mental Health Services, Patras University General Hospital, University of Patras, 26504, Rio, Patras, Greece https://ror.org/02tyrky19 Global Brain Health Institute, Medical School, Trinity College Dublin, Dublin, Republic of Ireland https://ror.org/02kkvpp62 Department of Psychiatry and Psychotherapy, Klinikum Rechts der Isar, Faculty of Medicine, Technical University of Munich, Munich, Germany Patras Dementia Day Care Center, Patras, Greece https://ror.org/02qs84g94 Department of Business Administration, University of Piraeus, Piraeus, Greece https://ror.org/04gnjpq42 1st Department of Psychiatry, Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece https://ror.org/02j61yw88 Lab of Cognitive Neuroscience, School of Psychology, Aristotle University of Thessaloniki, Thessaloniki, Greece https://ror.org/02k5gp281 Department of Nutrition and Dietetics, Harokopio University, Athens, Greece https://ror.org/04v4g9h31 Department of Neurology, Larissa University General Hospital, School of Medicine, University of Thessaly, Larissa, Greece https://ror.org/02qjrjx09 Department of Neurology, Medical School, University of Cyprus, Nicosia, Cyprus https://ror.org/05591te55 Division of Mental Health in Older Adults and Alzheimer Therapy and Research Center, Department of Psychiatry and Psychotherapy, University Hospital, Ludwig-Maximilians-Universität Munich, Munich, Germany https://ror.org/041kmwe10 Ageing Epidemiology (AGE) Research Unit, School of Public Health, Faculty of Medicine, The Imperial College of Science, Technology and Medicine, London, UK https://ror.org/043j0f473 German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany https://ror.org/025z3z560 Munich Cluster for Systems Neurology (SyNergy), Munich, Germany https://ror.org/05krs5044 Sheffield Institute for Translational Neurosciences (SITraN), University of Sheffield, Sheffield, UK https://ror.org/04xqgyf78 Athens Association of Alzheimer's Disease and Related Disorders, Maroussi, Greece https://ror.org/01qg3j183 Department of Mathematics, University of Ioannina, Ioannina, Greece https://ror.org/04dq56617 Department of Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany https://ror.org/00za53h95 Department of Psychiatry, Division of Geriatric Psychiatry and Neuropsychiatry, Johns Hopkins Medical School, Baltimore, USA https://ror.org/03wed5r38 1st Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece https://ror.org/00hj8s172 Department of Neurology, Taub Institute for Research in Alzheimer's Disease and the Ageing Brain, The Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA https://ror.org/017wvtq80 Department of Civil Engineering, School of Engineering, University of Patras, Patras, Greece su: Aging Mental depression Pearson correlation (Statistics) Cognitive testing Mild cognitive impairment Alzheimer's disease Data analysis Statistical sampling Logistic regression analysis Kruskal-Wallis Test Fisher exact test Descriptive statistics Chi-squared test Cognition disorders Neuropsychological tests Statistics Dementia Machine learning Data analysis software Algorithms Disease complications sug: subj: Aging Mental depression Marketing Research and Public Opinion Polling Pearson correlation (Statistics) Cognitive testing Mild cognitive impairment Alzheimer's disease Data analysis Statistical sampling Logistic regression analysis Kruskal-Wallis Test Fisher exact test Descriptive statistics Chi-squared test Cognition disorders Neuropsychological tests Statistics Dementia Machine learning Data analysis software Algorithms Disease complications keyword: Adaptive boosting algorithm Dementia due Alzheimer's disease Geriatric depression scale Medical and Health Sciences Clinical Sciences Neurosciences Adaptive boosting algorithm Dementia due Alzheimer's disease Geriatric depression scale Medical and Health Sciences Clinical Sciences Neurosciences ab: Depressive symptoms are common in mild cognitive impairment (MCI), dementia caused by Alzheimer's disease (AD dementia) and in cognitively unimpaired older adults. However, it is unclear whether they could contribute to the identification of cognitive impairment in ageing. To assess the potential utility of depressive symptoms to distinguish between healthy cognitive ageing and MCI and AD dementia. The diagnostic workup of the cognitive function of 1737 older cognitively unimpaired individuals, 334 people with MCI and 142 individuals with AD dementia relied on a comprehensive neuropsychiatric assessment, including the Mini Mental State Examination (MMSE). Depressive symptoms were tapped with the 15-item Geriatric Depression Scale (GDS). Proportional odds logistic regression (POLR) models and the machine learning technique Adaptive Boosting algorithm (AdaBoost) were employed. Stratified repeated random subsampling (stratified bootstrap resampling) was used to recursive partitioning to training- and validation set (70/30 ratio). The average accuracy of the POLR models for the GDS total score in distinguishing between cognitive impairment and healthy cognitive ageing exceeded 78% and was inferior to that of MMSE. Of note, the sensitivity of GDS total score was very low. By employing the AdaBoost algorithm and considering GDS items separately, the average accuracy was higher than 0.72 and comparable to that of the MMSE, while sensitivity- and specificity values were more balanced. The findings of the study provide initial evidence that depressive symptoms may contribute to distinguishing between cognitive impairment and cognitively healthy ageing. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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