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Ma L, Tan ECK, Bush AI, Masters CL, Goudey B, Jin L, Pan Y, Group AR. Elucidating the Link Between Anxiety/Depression and Alzheimer's Dementia in the Australian Imaging Biomarkers and Lifestyle (AIBL) Study. J Epidemiol Glob Health 2024; 14:1130-1141. [PMID: 38896210 PMCID: PMC11442410 DOI: 10.1007/s44197-024-00266-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 06/10/2024] [Indexed: 06/21/2024] Open
Abstract
BACKGROUND The associations between mood disorders (anxiety and depression) and mild cognitive impairment (MCI) or Alzheimer's dementia (AD) remain unclear. METHODS Data from the Australian Imaging, Biomarker & Lifestyle (AIBL) study were subjected to logistic regression to determine both cross-sectional and longitudinal associations between anxiety/depression and MCI/AD. Effect modification by selected covariates was analysed using the likelihood ratio test. RESULTS Cross-sectional analysis was performed to explore the association between anxiety/depression and MCI/AD among 2,209 participants with a mean [SD] age of 72.3 [7.4] years, of whom 55.4% were female. After adjusting for confounding variables, we found a significant increase in the odds of AD among participants with two mood disorders (anxiety: OR 1.65 [95% CI 1.04-2.60]; depression: OR 1.73 [1.12-2.69]). Longitudinal analysis was conducted to explore the target associations among 1,379 participants with a mean age of 71.2 [6.6] years, of whom 56.3% were female. During a mean follow-up of 5.0 [4.2] years, 163 participants who developed MCI/AD (refer to as PRO) were identified. Only anxiety was associated with higher odds of PRO after adjusting for covariates (OR 1.56 [1.03-2.39]). However, after additional adjustment for depression, the association became insignificant. Additionally, age, sex, and marital status were identified as effect modifiers for the target associations. CONCLUSION Our study provides supportive evidence that anxiety and depression impact on the evolution of MCI/AD, which provides valuable epidemiological insights that can inform clinical practice, guiding clinicians in offering targeted dementia prevention and surveillance programs to the at-risk populations.
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Affiliation(s)
- Liwei Ma
- The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, Victoria, 3052
- Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Victoria, 3052, Australia
| | - Edwin C K Tan
- Faculty of Medicine and Health, The University of Sydney School of Pharmacy, The University of Sydney, Camperdown, New South Wales, 2050, Australia
| | - Ashley I Bush
- The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, Victoria, 3052
- Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Victoria, 3052, Australia
| | - Colin L Masters
- The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, Victoria, 3052
| | - Benjamin Goudey
- Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Victoria, 3052, Australia
| | - Liang Jin
- The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, Victoria, 3052.
- Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Victoria, 3052, Australia.
| | - Yijun Pan
- The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, Victoria, 3052.
- Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Victoria, 3052, Australia.
- Department of Organ Anatomy, Graduate School of Medicine, Tohoku University, Sendai, 980-8575, Miyagi, Japan.
| | - Aibl Research Group
- The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, Victoria, 3052
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Jauregi-Zinkunegi A, Langhough R, Johnson SC, Mueller KD, Bruno D. Comparison of the 10-, 14- and 20-Item CES-D Scores as Predictors of Cognitive Decline. Brain Sci 2023; 13:1530. [PMID: 38002491 PMCID: PMC10669678 DOI: 10.3390/brainsci13111530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 10/18/2023] [Accepted: 10/27/2023] [Indexed: 11/26/2023] Open
Abstract
The association between depressive symptomatology and cognitive decline has been examined using the Centre for Epidemiologic Studies-Depression Scale (CES-D); however, concerns have been raised about this self-report measure. Here, we examined how the CES-D total score from the 14- and 10-item versions compared to the 20-item version in predicting progression to cognitive decline from a cognitively unimpaired baseline. Data from 1054 participants were analysed using ordinal logistic regression, alongside moderator and receiver-operating characteristics curve analyses. All baseline total scores significantly predicted progression to cognitive decline. The 14-item version was better than the 20-item version in predicting consensus diagnosis, as shown by their AICs, while also showing the highest accuracy when discriminating between participants by diagnosis at last visit. We did not find sex to moderate the relationship between CES-D score and cognitive decline. Current findings suggest the 10- and 14-item versions of the CES-D are comparable to the 20-item version, and that the 14-item version may be better at predicting longitudinal consensus diagnosis compared to the 20-item version.
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Affiliation(s)
| | - Rebecca Langhough
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA; (R.L.)
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA; (R.L.)
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
- Department of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Veterans Hospital, Madison, WI 53225, USA
| | - Kimberly D. Mueller
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA; (R.L.)
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
- Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Davide Bruno
- School of Psychology, Liverpool John Moores University, Liverpool L3 3AF, UK;
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