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Yuan J, Wang Y, Liu Z. Temporal relationship between depression and cognitive decline in the elderly: a two-wave cross-lagged study in a Chinese sample. Aging Ment Health 2023; 27:2179-2186. [PMID: 37339082 DOI: 10.1080/13607863.2023.2225432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 06/04/2023] [Indexed: 06/22/2023]
Abstract
Objectives: Less information is available about the temporal relationship between depression in the elderly and cognitive decline. In the current study, we (1) evaluated the temporal association between depression and cognitive decline in older adults over a 4-year period; (2) indicated which cognitive domains have a strong temporal relationship with depression.Methods: Using data from China Family Panel Studies, we examined the relationship between depression and cognition among adults aged 65 and older with a cross-lagged design.Results: The results showed that initial depression affected subsequent cognitive function, especially immediate and delayed recall, but that cognition decline did not predict depression over time.Conclusion: The findings suggest that depression precedes cognitive decline in older adults, which is of great significance for the future research of mild cognitive impairment and dementia in the elderly.
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Affiliation(s)
- Jing Yuan
- School of Nursing, Hebei University, Baoding, China
| | - Yan Wang
- School of Nursing, Hebei University, Baoding, China
| | - Zejun Liu
- Department of Psychology, Educational College, Shanghai Normal University, Shanghai, China
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2
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Perlman G, Cogo-Moreira H, Wu CY, Herrmann N, Swardfager W. Depression interacts with allostatic load to predict cognitive decline in middle age. Psychoneuroendocrinology 2022; 146:105922. [PMID: 36150368 DOI: 10.1016/j.psyneuen.2022.105922] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 09/06/2022] [Accepted: 09/07/2022] [Indexed: 01/29/2023]
Abstract
BACKGROUND Allostatic load (AL) indicates the cumulative impact of stress on homeostatic mechanisms. Depression and AL have been associated with cognitive deficits, but it is unclear if they do so independently. METHODS Using data from middle-aged participants in the observational longitudinal Midlife in the United States (MIDUS) study (n = 704, 57.5 % female, 63.8 ± 10.6 years old in 2014), we assessed whether the effect of prior depression (Composite International Diagnostic Interview Short-Form in 1995) on cognitive decline between 2004 and 2013 (composite Z-scores derived from the Brief Test of Adult Cognition by Telephone and the Stop & Go Switch Task) was moderated by AL Z-scores in 2004 (calculated from biomarkers in blood, urine, and electrocardiography). RESULTS A significant depression × AL interaction predicted a decline in a composite cognitive score (β = -0.066, SE=0.029, p = 0.024) and executive function (β = -0.068, SE=0.025, p = 0.007). Depression predicted a decline in composite cognition among those with AL Z-scores above - 0.055. AL subdomains of inflammation and lipid metabolism showed evidence of moderation. CONCLUSION Middle-aged adults with depression who had higher allostatic load were at greater risk of cognitive decline. Future studies should evaluate whether the interaction predicts incident dementia, and whether interventions targeting depression or elevated AL in people who have both can attenuate cognitive decline.
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Affiliation(s)
- George Perlman
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto M4N 3M5, Canada; Department of Pharmacology & Toxicology, University of Toronto, 1 King's College Circle, Toronto M5S 1A8, Canada; Sleep and Cardiopulmonary Program, University Health Network - Toronto Rehabilitation Institute, 347 Rumsey Road, Toronto M4G 2V6, Canada
| | - Hugo Cogo-Moreira
- Department of Education, ICT and Learning, Østfold University College, P.O.Box 700, NO-1757, Halden, Norway
| | - Che-Yuan Wu
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto M4N 3M5, Canada; Department of Pharmacology & Toxicology, University of Toronto, 1 King's College Circle, Toronto M5S 1A8, Canada
| | - Nathan Herrmann
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto M4N 3M5, Canada; Department of Psychiatry, University of Toronto, 250 College Street, Toronto M5T 1R8, Canada
| | - Walter Swardfager
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto M4N 3M5, Canada; Department of Pharmacology & Toxicology, University of Toronto, 1 King's College Circle, Toronto M5S 1A8, Canada; Sleep and Cardiopulmonary Program, University Health Network - Toronto Rehabilitation Institute, 347 Rumsey Road, Toronto M4G 2V6, Canada.
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3
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Hu Y, Wu Y, Su H, Tu J, Zeng L, Lei J, Xia L. Exploring the relationship between brain white matter change and higher degree of invisible hand tremor with computer technology. Technol Health Care 2022; 31:921-931. [PMID: 36442160 DOI: 10.3233/thc-220361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
BACKGROUND: At present, the clinical diagnosis of white matter change (WMC) patients depends on cranial magnetic resonance imaging (MRI) technology. This diagnostic method is costly and does not allow for large-scale screening, leading to delays in the patient’s condition due to inability to receive timely diagnosis. OBJECTIVE: To evaluate whether the burden of WMC is associated with the degree of invisible hand tremor in humans. METHODS: Previous studies have shown that tremor is associated with WMC, however, tremor does not always have imaging of WMC. Therefore, to confirm that the appearance of WMC causes tremor, which are sometimes invisible to the naked eye, we achieved an optical-based computer-aided diagnostic device by detecting the invisible hand tremor, and we proposed a calculation method of WMC volume by using the characteristics of MRI images. RESULTS: Statistical analysis results further clarified the relationship between WMC and tremor, and our devices are validated for the detection of tremors with WMC. CONCLUSIONS: The burden of WMC volume is positive factor for degree of invisible hand tremor in the participants without visible hand tremor. Detection technology provides a more convenient and low-cost evaluating method before MRI for tremor diseases.
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Affiliation(s)
- Yang Hu
- Department of Cardiovascular Medicine, The Second Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, China
| | - Yanqing Wu
- Department of Cardiovascular Medicine, The Second Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, China
| | - Hai Su
- Department of Cardiovascular Medicine, The Second Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, China
| | - Jianglong Tu
- Department of Nephrology Medicine, The Second Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, China
| | - Luchuan Zeng
- School of Software, Nanchang University, Nanchang, Jiangxi, China
| | - Jie Lei
- School of Software, Nanchang University, Nanchang, Jiangxi, China
| | - Linglin Xia
- School of Software, Nanchang University, Nanchang, Jiangxi, China
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4
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Husain MM, Guajardo HM, Hubregsen J. The Significance of White Matter Hyperintensities, Inflammation, and Cognition in ECT for Geriatric Depression. Am J Geriatr Psychiatry 2022; 30:519-520. [PMID: 34764000 DOI: 10.1016/j.jagp.2021.09.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 09/30/2021] [Indexed: 10/20/2022]
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5
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Carlier A, Dols A, Oudega M, Sienaert P, Bouckaert F, Stek ML, Eikelenboom P, van Exel E, Rhebergen D. Impact of Inflammation on Cognitive Functioning After Electroconvulsive Therapy in Older Patients with Depression with and Without White Matter Hyperintensities. Am J Geriatr Psychiatry 2022; 30:514-518. [PMID: 34629222 DOI: 10.1016/j.jagp.2021.09.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 09/07/2021] [Accepted: 09/08/2021] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Should we treat older, patients with depression with white matter hyperintensities (WMH) with electroconvulsive therapy (ECT)? WMH, inflammation, depression and cognitive functioning are suggested to be intertwined. Hence, this study investigates whether the association between inflammation and cognition is different in patients with depression with or without WMH. METHODS Cognitive functioning was assessed using the Mini-Mental State Examination during and after a course of ECT in 77 older patients with depression. Serum samples (C-reactive protein [CRP], interleukin-6 [IL-6], interleukin-10 [IL-10] and tumour necrosis factor-alpha [TNF-α]) and 3T magnetic resonance imaging were obtained prior to ECT. RESULTS An interaction effect was found for IL-10, but not for CRP, IL-6 or TNF-α. CONCLUSION In general, the association between inflammatory markers and cognition in patients with depression treated with ECT is not different in patients with WMH compared to patients without WMH.
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Affiliation(s)
- Angela Carlier
- Department of Old Age Psychiatry GGZ inGeest Specialized Mental Health Care, (AC, AD, MO, PE) Amsterdam, The Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health research institute and Neuroscience Amsterdam, (MS, EE) Amsterdam, The Netherlands; Department of Old Age Psychiatry,Pro Persona, Nijmegen, The Netherlands.
| | - Annemiek Dols
- Department of Old Age Psychiatry GGZ inGeest Specialized Mental Health Care, (AC, AD, MO, PE) Amsterdam, The Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health research institute and Neuroscience Amsterdam, (MS, EE) Amsterdam, The Netherlands
| | - Mardien Oudega
- Department of Old Age Psychiatry GGZ inGeest Specialized Mental Health Care, (AC, AD, MO, PE) Amsterdam, The Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health research institute and Neuroscience Amsterdam, (MS, EE) Amsterdam, The Netherlands
| | - Pascal Sienaert
- KU Leuven, Academic Center for ECT and Neuromodulator, University Psychiatric Center KU Leuven, (PS) Kortenberg, Belgium
| | - Filip Bouckaert
- Department of Old Age Psychiatry, KU Leuven, University Psychiatric Center KU Leuven, (FB) Kortenberg, Belgium; KU Leuven, Academic Center for ECT and Neuromodulator, University Psychiatric Center KU Leuven, (PS) Kortenberg, Belgium
| | - Max L Stek
- Department of Old Age Psychiatry GGZ inGeest Specialized Mental Health Care, (AC, AD, MO, PE) Amsterdam, The Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health research institute and Neuroscience Amsterdam, (MS, EE) Amsterdam, The Netherlands
| | - Piet Eikelenboom
- Department of Old Age Psychiatry GGZ inGeest Specialized Mental Health Care, (AC, AD, MO, PE) Amsterdam, The Netherlands
| | - Eric van Exel
- Department of Old Age Psychiatry GGZ inGeest Specialized Mental Health Care, (AC, AD, MO, PE) Amsterdam, The Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health research institute and Neuroscience Amsterdam, (MS, EE) Amsterdam, The Netherlands
| | - Didi Rhebergen
- Department of Old Age Psychiatry GGZ inGeest Specialized Mental Health Care, (AC, AD, MO, PE) Amsterdam, The Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health research institute and Neuroscience Amsterdam, (MS, EE) Amsterdam, The Netherlands; GGZ Centraal, Specialized Mental Health Care, Utrechtseweg 266, (DR) Amersfoort, the Netherlands
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6
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Late-life depression accentuates cognitive weaknesses in older adults with small vessel disease. Neuropsychopharmacology 2022; 47:580-587. [PMID: 33564103 PMCID: PMC8674355 DOI: 10.1038/s41386-021-00973-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 01/03/2021] [Accepted: 01/12/2021] [Indexed: 02/08/2023]
Abstract
Neuroimaging features of small vessel disease (SVD) are highly prevalent in older adulthood and associated with significant variability in clinical symptoms, yet the factors predicting these symptom disparities are poorly understood. We employed a novel metric of SVD, peak width of skeletonized mean diffusivity (PSMD), to elucidate the relationship of late-life depression (LLD) to the cognitive presentation of vascular pathology. A total of 109 older adults without a diagnosis of a neurocognitive disorder were enrolled in the study; 44 with major depressive disorder and 65 age-matched controls. Subjects completed neuropsychological testing and magnetic resonance imaging including FLAIR and diffusion tensor imaging sequences, from which white matter hyperintensity volume and diffusion metrics (fractional anisotropy, mean diffusivity, PSMD) were quantified. In hierarchical models, the relationship between vascular burden and cognitive performance varied as a function of diagnostic status, such that the negative association between PSMD and processing speed was significantly stronger in participants with LLD compared to controls. Greater PSMD also predicted poorer performance on delayed memory and executive function tasks specifically among those with LLD, while there were no associations between PSMD and task performance among controls. PSMD outperformed conventional SVD and diffusion markers in predicting cognitive performance and dysexecutive behaviors in participants with LLD. These data suggest that LLD may confer a vulnerability to the cognitive manifestations of white matter abnormalities in older adulthood. PSMD, a novel biomarker of diffuse microstructural changes in SVD, may be a more sensitive marker of subtle cognitive deficits stemming from vascular pathology in LLD.
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7
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Krell‐Roesch J, Syrjanen JA, Machulda MM, Christianson TJ, Kremers WK, Mielke MM, Knopman DS, Petersen RC, Vassilaki M, Geda YE. Neuropsychiatric symptoms and the outcome of cognitive trajectories in older adults free of dementia: The Mayo Clinic Study of Aging. Int J Geriatr Psychiatry 2021; 36:1362-1369. [PMID: 33724517 PMCID: PMC8451750 DOI: 10.1002/gps.5528] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 02/11/2021] [Accepted: 02/26/2021] [Indexed: 11/11/2022]
Abstract
OBJECTIVE Neuropsychiatric symptoms (NPS) are associated with the risk of incident mild cognitive impairment (MCI) and dementia. We examined associations between NPS and the outcomes of global and domain-specific cognitive trajectories. METHODS In this longitudinal study conducted in the setting of the population-based Mayo Clinic Study of Aging, 5081 community-dwelling, nondemented individuals aged ≥50 years (51% males) underwent NPS assessment using Neuropsychiatric Inventory Questionnaire (NPI-Q), and Beck Depression and Anxiety Inventories (BDI-II, BAI). Global and domain-specific (memory, language, attention, and visuospatial skills) cognitive performance was assessed through neuropsychological testing every 15 months. Associations between baseline NPS and trajectories for individual yearly change in cognitive z-scores were calculated using linear mixed-effect models. RESULTS Cognition declined regardless of NPS status over the median follow-up of 4.5 years. Presence of NPS was associated with increased cognitive decline. Differences in annualized change in global cognition z-scores for participants with NPS compared to without NPS ranged from -0.018 (95% CI -0.032, -0.004; p = 0.011) for irritability to -0.159 (-0.254, -0.065; p = 0.001) for hallucinations. Associations between NPS and annual decline in global cognition were significant for most NPI-Q-assessed NPS and clinical depression (BDI-II≥13). Participants with NPI-Q-assessed depression, apathy, nighttime behavior, and clinical depression had greater decline in all domain-specific z-scores; presence of delusions and anxiety was associated with more pronounced decline in language, attention and visuospatial skills. CONCLUSION NPS were associated with a more accelerated cognitive decline. Clinical assessment and potential treatment of NPS is warranted even in a community setting as NPS may impact cognitive decline in nondemented individuals.
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Affiliation(s)
- Janina Krell‐Roesch
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
- Institute of Sports and Sports ScienceKarlsruhe Institute of TechnologyKarlsruheGermany
| | - Jeremy A. Syrjanen
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | - Mary M. Machulda
- Department of Psychiatry and PsychologyMayo ClinicRochesterMinnesotaUSA
| | | | - Walter K. Kremers
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | - Michelle M. Mielke
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
- Department of NeurologyMayo ClinicRochesterMinnesotaUSA
| | | | - Ronald C. Petersen
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
- Department of NeurologyMayo ClinicRochesterMinnesotaUSA
| | - Maria Vassilaki
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | - Yonas E. Geda
- Department of NeurologyBarrow Neurological InstitutePhoenixArizonaUSA
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8
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Zhang M, Chen B, Zhong X, Zhou H, Wang Q, Mai N, Wu Z, Chen X, Peng Q, Zhang S, Yang M, Lin G, Ning Y. Neuropsychiatric Symptoms Exacerbate the Cognitive Impairments in Patients With Late-Life Depression. Front Psychiatry 2021; 12:757003. [PMID: 34867543 PMCID: PMC8639522 DOI: 10.3389/fpsyt.2021.757003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 10/21/2021] [Indexed: 12/27/2022] Open
Abstract
Background: Neuropsychiatric symptoms (NPS) and cognitive impairments are both common in patients with late-life depression (LLD). However, the relationship between NPS and cognitive functions in LLD patients remains unclear. The current study aims to explore the effects of NPS on cognitive impairments in LLD patients. Methods: Two hundred and sixty-two LLD patients and 141 normal controls (NC) were recruited. Exploratory factor analysis was used to extract factors from the Neuropsychiatric Inventory (NPI). Correlation, mediation, and moderation analyses were used to explore whether NPS exacerbated the cognitive impairments in LLD and whether NPS exhibited different effects on cognitive impairments in acute-state LLD (aLLD) and recovery-state LLD (rLLD). Results: Three main factors were extracted from the NPI, including emotional, behavioral, and psychotic factors. The patients with LLD exhibited worse cognition and higher NPI scores, and the scores of NPI-total and three extracted factors were negatively associated with cognitive scores. The mediation analyses exhibited that NPI-total and behavioral factor scores increase the difference in cognition scores between LLD and NC groups. The mediation analyses exhibited that behavioral factor score played a greater effect on impairing MMSE in the rLLD group than in the aLLD group. Additionally, behavioral factor score was in a trend to be negatively associated with Mini-Mental State Examination (MMSE) score changes at a one-year follow-up (p = 0.051). Conclusions: NPS, especially behavioral symptoms, exacerbate cognitive impairments in LLD and may contribute to residual cognitive impairment in rLLD patients. Early intervention for behavioral symptoms in LLD patients may be beneficial to their long-term clinical prognosis.
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Affiliation(s)
- Min Zhang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ben Chen
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaomei Zhong
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Huarong Zhou
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qiang Wang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Naikeng Mai
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhangying Wu
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xinru Chen
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qi Peng
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Si Zhang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Minfeng Yang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Gaohong Lin
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuping Ning
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.,The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
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Ahn S, Mathiason MA, Lindquist R, Yu F. Factors predicting episodic memory changes in older adults with subjective cognitive decline: A longitudinal observational study. Geriatr Nurs 2020; 42:268-275. [PMID: 32919799 DOI: 10.1016/j.gerinurse.2020.08.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 08/24/2020] [Accepted: 08/26/2020] [Indexed: 01/25/2023]
Abstract
Episodic memory is affected early in the neuropathological process of Alzheimer's dementia. This study was performed to identify longitudinal associations between baseline vascular/neuropsychiatric risk factors and episodic memory changes over 4.1 ± 2.4 years in 1,401 older adults with subjective cognitive decline (age 74.0 ± 8.2 years). Data were from the National Alzheimer's Coordinating Center-Uniform Data Set and linear mixed effects regression models were used. Reference was those without risk factors. Participants with hypercholesterolemia and with former cigarette smoking had higher episodic memory scores, but current smokers had fewer points than reference at their first and follow-up visits. Despite no difference at baseline, episodic memory scores decreased in those with depressive symptoms relative to reference over time. In older adults with subjective cognitive decline, interventions managing current smoking and depressive symptoms could preserve episodic memory, which may result in delaying the onset of Alzheimer's dementia. Further research is required for the role of cholesterol and smoking.
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Affiliation(s)
- Sangwoo Ahn
- University of Tennessee College of Nursing, Knoxville, TN, United States.
| | | | - Ruth Lindquist
- University of Minnesota School of Nursing, Minneapolis, MN, United States.
| | - Fang Yu
- University of Minnesota School of Nursing, Minneapolis, MN, United States.
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Brouwer J, van den Berg F, Knooihuizen R, Loerts H, Keijzer M. Exploring Language Learning as a Potential Tool against Cognitive Impairment in Late-Life Depression: Two Meta-Analyses and Suggestions for Future Research. Behav Sci (Basel) 2020; 10:E132. [PMID: 32878051 PMCID: PMC7551097 DOI: 10.3390/bs10090132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 08/25/2020] [Accepted: 08/26/2020] [Indexed: 11/16/2022] Open
Abstract
Late-life depression (LLD) affects about an eighth of community-dwelling seniors. LLD impacts well-being, with loneliness and small social networks being typical. It has also been linked to cognitive dysfunction and an increased risk of developing dementia. Safety and efficacy of pharmacological treatments for LLD have been debated, and cognitive dysfunction often persists even after remission. Various cognitive interventions have been proposed for LLD. Among these, one has received special attention: foreign language learning could serve as a social intervention that simultaneously targets brain structures affected in LLD. Lifelong bilingualism may significantly delay the onset of cognitive impairment symptoms by boosting cognitive reserve. Even late-life foreign language learning without lifelong bilingualism can train cognitive flexibility. It is then counterintuitive that the effects of language learning on LLD have never been examined. In order to create a theoretical basis for further interdisciplinary research, this paper presents a status quo of current work through two meta-analyses investigating cognitive functioning in LLD on the one hand and in senior bilinguals or seniors following a language course on the other hand. While LLD was consistently associated with cognitive dysfunction, inconsistent results were found for bilingualism and language learners. Possible reasons for this and suggestions for future research are subsequently discussed.
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Affiliation(s)
- Jelle Brouwer
- Department of Linguistics & English as a Second Language, University of Groningen, 9712 EK Groningen, The Netherlands; (F.v.d.B.); (R.K.); (M.K.)
| | - Floor van den Berg
- Department of Linguistics & English as a Second Language, University of Groningen, 9712 EK Groningen, The Netherlands; (F.v.d.B.); (R.K.); (M.K.)
| | - Remco Knooihuizen
- Department of Linguistics & English as a Second Language, University of Groningen, 9712 EK Groningen, The Netherlands; (F.v.d.B.); (R.K.); (M.K.)
| | - Hanneke Loerts
- Department of Minorities and Multilingualism, University of Groningen, 9712 EK Groningen, The Netherlands;
| | - Merel Keijzer
- Department of Linguistics & English as a Second Language, University of Groningen, 9712 EK Groningen, The Netherlands; (F.v.d.B.); (R.K.); (M.K.)
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Andreescu C, Ajilore O, Aizenstein HJ, Albert K, Butters MA, Landman BA, Karim HT, Krafty R, Taylor WD. Disruption of Neural Homeostasis as a Model of Relapse and Recurrence in Late-Life Depression. Am J Geriatr Psychiatry 2019; 27:1316-1330. [PMID: 31477459 PMCID: PMC6842700 DOI: 10.1016/j.jagp.2019.07.016] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 06/26/2019] [Accepted: 07/29/2019] [Indexed: 12/29/2022]
Abstract
The significant public health burden associated with late-life depression (LLD) is magnified by the high rates of recurrence. In this manuscript, we review what is known about recurrence risk factors, conceptualize recurrence within a model of homeostatic disequilibrium, and discuss the potential significance and challenges of new research into LLD recurrence. The proposed model is anchored in the allostatic load theory of stress. We review the allostatic response characterized by neural changes in network function and connectivity and physiologic changes in the hypothalamic-pituitary-adrenal axis, autonomic nervous system, immune system, and circadian rhythm. We discuss the role of neural networks' instability following treatment response as a source of downstream disequilibrium, triggering and/or amplifying abnormal stress response, cognitive dysfunction and behavioral changes, ultimately precipitating a full-blown recurrent episode of depression. We propose strategies to identify and capture early change points that signal recurrence risk through mobile technology to collect ecologically measured symptoms, accompanied by automated algorithms that monitor for state shifts (persistent worsening) and variance shifts (increased variability) relative to a patient's baseline. Identifying such change points in relevant sensor data could potentially provide an automated tool that could alert clinicians to at-risk individuals or relevant symptom changes even in a large practice.
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Affiliation(s)
| | | | - Howard J. Aizenstein
- Department of Psychiatry, University of Pittsburgh,Department of Bioengineering, University of Pittsburgh
| | - Kimberly Albert
- The Center for Cognitive Medicine, the Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center
| | | | - Bennett A. Landman
- Departments of Computer Science, Electrical Engineering, and Biomedical Engineering, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center
| | | | - Robert Krafty
- Department of Biostatistics, University of Pittsburgh
| | - Warren D. Taylor
- The Center for Cognitive Medicine, the Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center,Geriatric Research, Education and Clinical Center, Department of Veterans Affairs Medical Center, Tennessee Valley Healthcare System
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12
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Zhong BL, Xu YM, Xie WX, Liu XJ, Huang ZW. Depressive Symptoms in Elderly Chinese Primary Care Patients: Prevalence and Sociodemographic and Clinical Correlates. J Geriatr Psychiatry Neurol 2019; 32:312-318. [PMID: 31480989 DOI: 10.1177/0891988719862620] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE To estimate the prevalence of depressive symptoms (depression thereafter) and to identify the sociodemographic and clinical correlates of depression in a sample of elderly patients treated in the primary care setting in Wuhan, China. BACKGROUND Primary care is an opportune setting for the management of late-life depression in China, but there have been no representative studies on the clinical epidemiology of depression in elderly Chinese primary care patients. METHODS In total, 752 elderly patients (≥ 65 years) were consecutively recruited from 13 primary care centers in Wuhan, China, and interviewed with a standardized questionnaire. Depression was assessed with the 15-item Geriatric Depression Scale (GDS-15). RESULTS Of the elderly Chinese primary care patients, 30.6% had depression (GDS-15 ≥ 5). Correlates of depression were an education level of primary school or less (odds ratio [OR]: 1.94, 95% confidence interval [CI]: 1.36-2.77, P < .001), poor financial status (OR: 2.19, 95% CI: 1.16-4.15, P = .016), lack of an exercise habit (OR: 1.40, 95% CI: 1.06-1.74, P = .023), 2 or more chronic medical conditions (OR: 1.90, 95% CI: 1.34-2.69, P < .001), and loneliness (OR: 3.53, 95% CI: 2.46-5.08, P < .001). CONCLUSIONS Depression is prevalent among elderly Chinese primary care patients, indicating that elderly patients treated in primary care have a high level of need for mental health services in China. There is an urgent need to integrate mental health services into primary health care.
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Affiliation(s)
- Bao-Liang Zhong
- 1 Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China.,2 Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology, Wuhan, Hubei, China
| | - Yan-Min Xu
- 2 Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology, Wuhan, Hubei, China
| | - Wu-Xiang Xie
- 3 Peking University Clinical Research Institute, Peking University Health Science Center, Beijing, China
| | - Xiu-Jun Liu
- 2 Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology, Wuhan, Hubei, China
| | - Zhuo-Wei Huang
- 2 Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology, Wuhan, Hubei, China
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Brown EE, Rashidi-Ranjbar N, Caravaggio F, Gerretsen P, Pollock BG, Mulsant BH, Rajji TK, Fischer CE, Flint A, Mah L, Herrmann N, Bowie CR, Voineskos AN, Graff-Guerrero A. Brain Amyloid PET Tracer Delivery is Related to White Matter Integrity in Patients with Mild Cognitive Impairment. J Neuroimaging 2019; 29:721-729. [PMID: 31270885 DOI: 10.1111/jon.12646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 05/31/2019] [Accepted: 06/14/2019] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND AND PURPOSE Amyloid deposition, tau neurofibrillary tangles, and cerebrovascular dysfunction are important pathophysiologic features in Alzheimer's disease. Pittsburgh compound B ([11 C]-PIB) is a positron emission tomography (PET) radiotracer used to quantify amyloid deposition in vivo. In addition, certain models of [11 C]-PIB delivery reflect cerebral blood flow rather than amyloid plaques. As cerebral blood flow and perfusion deficits are associated with white matter pathology, we hypothesized that [11 C]-PIB delivery in white matter regions may reflect white matter integrity. METHODS We obtained [11 C]-PIB-PET scans and quantified white matter hyperintensities and global fractional anisotropy on magnetic resonance images as biomarkers of white matter pathology in 34 older participants with mild cognitive impairment with or without a history of major depressive disorder. We analyzed the [11 C]-PIB time-activity curve data with models associated with cerebral blood flow: the early maximum standard uptake value and the relative delivery parameter R1. We used a global white matter region of interest. RESULTS Both of the partial-volume corrected PET parameters were correlated with white matter hyperintensities and fractional anisotropy. CONCLUSION Future studies are warranted to explore whether [11 C]-PIB PET is a "triple biomarker" that may provide information about amyloid deposition, cerebral blood flow, and white matter pathology.
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Affiliation(s)
- Eric E Brown
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Adult Neurodevelopment and Geriatric Psychiatry Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Neda Rashidi-Ranjbar
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Adult Neurodevelopment and Geriatric Psychiatry Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Fernando Caravaggio
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Adult Neurodevelopment and Geriatric Psychiatry Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Philip Gerretsen
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Adult Neurodevelopment and Geriatric Psychiatry Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Bruce G Pollock
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Adult Neurodevelopment and Geriatric Psychiatry Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Benoit H Mulsant
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Adult Neurodevelopment and Geriatric Psychiatry Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Tarek K Rajji
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Adult Neurodevelopment and Geriatric Psychiatry Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada.,Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Corinne E Fischer
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Keenan Research Centre for Biomedical Research, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Alastair Flint
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Centre for Mental Health, University Health Network, Toronto, Ontario, Canada
| | - Linda Mah
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Rotman Research Institute, Baycrest Health Sciences Centre, Toronto, Ontario, Canada
| | - Nathan Herrmann
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Christopher R Bowie
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Queen's University, Kingston, Ontario, Canada
| | - Aristotle N Voineskos
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Adult Neurodevelopment and Geriatric Psychiatry Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Ariel Graff-Guerrero
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Adult Neurodevelopment and Geriatric Psychiatry Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
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- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
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