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Akhtar A, Shafiq S, Parveen S, Nwofe E, Windle K. Exploring the Impact of Cognitive Dysfunction During Recurrent Depression in a Sample of Mid-to-Older Age British South Asians: A Qualitative Study. J Psychiatr Ment Health Nurs 2024. [PMID: 39314128 DOI: 10.1111/jpm.13113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Revised: 08/20/2024] [Accepted: 09/05/2024] [Indexed: 09/25/2024]
Abstract
INTRODUCTION Depression is a major public health issue, increasing the risk of comorbidities. Some people with depression experience cognitive dysfunction, which can persist even after symptomatic recovery. British South Asians are at greater risk of developing depression and are less likely to seek treatment. It is important to understand their experience of subjective cognitive dysfunction in depression and how best to support them. AIMS This study explored subjective experience of cognitive dysfunction during recurrent depression, in a sample of 12 British South Asians aged between 45 and 60 years. METHODS We conducted semi-structured interviews to explore cognitive dysfunction during recurrent depression. We analysed the data using thematic analysis. RESULTS Difficulties in attention and concentration resulted in lower quality of social relationships, including not feeling present and social isolation. Learning new information was difficult, thus impacting productivity. Participants found it difficult to engage in enjoyable activities that promoted brain health. The emotional, physical and spiritual impact negatively impacted on quality of life. DISCUSSION Cognitive strategies used in therapies could improve brain health and functional recovery in people living with depression. IMPLICATIONS Mental health nurses play a pivotal role in providing culturally appropriate information and strategies for managing cognitive dysfunction in recurrent depression.
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Affiliation(s)
- Amirah Akhtar
- Centre for Applied Dementia Studies, University of Bradford, Bradford, UK
| | - Shabana Shafiq
- Centre for Applied Dementia Studies, University of Bradford, Bradford, UK
| | - Sahdia Parveen
- Centre for Applied Dementia Studies, University of Bradford, Bradford, UK
| | - Emmanuel Nwofe
- Centre for Applied Dementia Studies, University of Bradford, Bradford, UK
| | - Karen Windle
- Centre for Applied Dementia Studies, University of Bradford, Bradford, UK
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Golimstok Á, Basalo MJG, Majul M, Berrios W, Rugiero M, Fernández MC, Eichel R. Adult Attention Deficit-Hyperactivity Disorder is associated with Lewy Body Disease and Cognitive Impairment: A prospective cohort Study With 15-year Follow-Up. Am J Geriatr Psychiatry 2024; 32:1063-1077. [PMID: 38697886 DOI: 10.1016/j.jagp.2024.04.005] [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: 01/09/2024] [Revised: 04/08/2024] [Accepted: 04/08/2024] [Indexed: 05/05/2024]
Abstract
OBJECTIVES Past reports have suggested that attention-deficit/hyperactivity disorder (ADHD) may be a risk factor for Lewy body disease (LBD). To confirm this relationship, we conducted the present study. DESIGN A prospective observational cohort study with a follow-up to 15 years. SETTING The subjects were recruited from cognitive neurology clinics, where they attended for a cognitive complaint or health check-up. PARTICIPANTS Two groups of subjects: ADHD adults and healthy subjects. MEASUREMENTS The risk of dementia and LBD was estimated with Kaplan-Meier analysis comparing for the presence or absence of ADHD with the log-rank test. Predictors of conversion were assessed through separate univariate and multivariate Cox regression analyses, adjusting for several variables. RESULTS The baseline sample consisted of 161 subjects with ADHD and 109 without ADHD. At the end of the follow-up, 31 subjects developed dementia, 27 cases in the ADHD group and 4 in comparison group. Dementia with Lewy bodies (DLB) was the most frequent type (N:20) of which 19 corresponded to the ADHD group. The incidence of non-amnestic-MCI in the ADHD group was higher representing 67.1 % of these subjects (N:108), and 17.4% (N:19) of healthy cases. The hazard ratios for dementia and LBD in the multivariate adjusted model were 3.33 (95% CI 1.0915 to 10.1699) and 54.54 (95% CI 7.4849 to 397.5028), respectively in the ADHD group. CONCLUSIONS This study showed that adult ADHD is independently associated with an increased risk of LBD, dementia, and na-MCI. Future studies should clarify this relationship to develop preventive measures for these patients.
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Affiliation(s)
- Ángel Golimstok
- Cognitive and Behavior Unit, Department of Neurology (AG, MJGB, MM, WB, MR, MCF), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina; Master of Neuropsychology (AG, MJGB, MM, WB, MCF), University Institute of the Italian Hospital, Buenos Aires, Argentina.
| | - María José García Basalo
- Cognitive and Behavior Unit, Department of Neurology (AG, MJGB, MM, WB, MR, MCF), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina; Master of Neuropsychology (AG, MJGB, MM, WB, MCF), University Institute of the Italian Hospital, Buenos Aires, Argentina
| | - Mariana Majul
- Cognitive and Behavior Unit, Department of Neurology (AG, MJGB, MM, WB, MR, MCF), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina; Master of Neuropsychology (AG, MJGB, MM, WB, MCF), University Institute of the Italian Hospital, Buenos Aires, Argentina
| | - Waleska Berrios
- Cognitive and Behavior Unit, Department of Neurology (AG, MJGB, MM, WB, MR, MCF), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina; Master of Neuropsychology (AG, MJGB, MM, WB, MCF), University Institute of the Italian Hospital, Buenos Aires, Argentina
| | - Marcelo Rugiero
- Cognitive and Behavior Unit, Department of Neurology (AG, MJGB, MM, WB, MR, MCF), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | - Maria Cecilia Fernández
- Cognitive and Behavior Unit, Department of Neurology (AG, MJGB, MM, WB, MR, MCF), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina; Master of Neuropsychology (AG, MJGB, MM, WB, MCF), University Institute of the Italian Hospital, Buenos Aires, Argentina
| | - Roni Eichel
- Department of Neurology (RE), Shaare Zedek Medical Center, Jerusalem, Israel; The School of Medicine (RE), The Hebrew University, Jerusalem, Israel
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Guo J, Zhao J, Han P, Wu Y, Zheng K, Huang C, Wang Y, Chen C, Guo Q. Finding the best predictive model for hypertensive depression in older adults based on machine learning and metabolomics research. Front Psychiatry 2024; 15:1370602. [PMID: 38993388 PMCID: PMC11236531 DOI: 10.3389/fpsyt.2024.1370602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 06/10/2024] [Indexed: 07/13/2024] Open
Abstract
Objective Depression is a common comorbidity in hypertensive older adults, yet depression is more difficult to diagnose correctly. Our goal is to find predictive models of depression in hypertensive patients using a combination of various machine learning (ML) methods and metabolomics. Methods Methods We recruited 379 elderly people aged ≥65 years from the Chinese community. Plasma samples were collected and assayed by gas chromatography/liquid chromatography-mass spectrometry (GC/LC-MS). Orthogonal partial least squares discriminant analysis (OPLS-DA), volcano diagrams and thermograms were used to distinguish metabolites. The attribute discriminators CfsSubsetEval combined with search method BestFirst in WEKA software was used to find the best predicted metabolite combinations, and then 24 classification methods with 10-fold cross-validation were used for prediction. Results 34 individuals were considered hypertensive combined with depression according to our criteria, and 34 subjects with hypertension only were matched according to age and sex. 19 metabolites by GC-MS and 65 metabolites by LC-MS contributed significantly to the differentiation between the depressed and non-depressed cohorts, with a VIP value of more than 1 and a P value of less than 0.05. There were multiple metabolic pathway alterations. The metabolite combinations screened with WEKA for optimal diagnostic value included 12 metabolites. The machine learning methods with AUC values greater than 0.9 were bayesNet and random forests, and their other evaluation measures are also better. Conclusion Altered metabolites and metabolic pathways are present in older adults with hypertension combined with depression. Methods using metabolomics and machine learning performed quite well in predicting depression in hypertensive older adults, contributing to further clinical research.
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Affiliation(s)
- Jiangling Guo
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
- Graduate School, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jingwang Zhao
- Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - Peipei Han
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Yahui Wu
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Kai Zheng
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Chuanjun Huang
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Yue Wang
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Cheng Chen
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
- School of Health, Fujian Medical University, Fuzhou, Fujian, China
| | - Qi Guo
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
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Haniff ZR, Bocharova M, Mantingh T, Rucker JJ, Velayudhan L, Taylor DM, Young AH, Aarsland D, Vernon AC, Thuret S. Psilocybin for dementia prevention? The potential role of psilocybin to alter mechanisms associated with major depression and neurodegenerative diseases. Pharmacol Ther 2024; 258:108641. [PMID: 38583670 DOI: 10.1016/j.pharmthera.2024.108641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 03/28/2024] [Accepted: 04/02/2024] [Indexed: 04/09/2024]
Abstract
Major depression is an established risk factor for subsequent dementia, and depression in late life may also represent a prodromal state of dementia. Considering current challenges in the clinical development of disease modifying therapies for dementia, the focus of research is shifting towards prevention and modification of risk factors to alter the neurodegenerative disease trajectory. Understanding mechanistic commonalities underlying affective symptoms and cognitive decline may reveal biomarkers to aid early identification of those at risk of progressing to dementia during the preclinical phase of disease, thus allowing for timely intervention. Adult hippocampal neurogenesis (AHN) is a phenomenon that describes the birth of new neurons in the dentate gyrus throughout life and it is associated with spatial learning, memory and mood regulation. Microglia are innate immune system macrophages in the central nervous system that carefully regulate AHN via multiple mechanisms. Disruption in AHN is associated with both dementia and major depression and microgliosis is a hallmark of several neurodegenerative diseases. Emerging evidence suggests that psychedelics promote neuroplasticity, including neurogenesis, and may also be immunomodulatory. In this context, psilocybin, a serotonergic agonist with rapid-acting antidepressant properties has the potential to ameliorate intersecting pathophysiological processes relevant for both major depression and neurodegenerative diseases. In this narrative review, we focus on the evidence base for the effects of psilocybin on adult hippocampal neurogenesis and microglial form and function; which may suggest that psilocybin has the potential to modulate multiple mechanisms of action, and may have implications in altering the progression from major depression to dementia in those at risk.
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Affiliation(s)
- Zarah R Haniff
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom.
| | - Mariia Bocharova
- Department of Old Age Psychiatry, Division of Academic Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Tim Mantingh
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - James J Rucker
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom; South London and Maudsley NHS Foundation Trust, Maudsley Hospital, Denmark Hill, London, United Kingdom
| | - Latha Velayudhan
- Department of Old Age Psychiatry, Division of Academic Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - David M Taylor
- South London and Maudsley NHS Foundation Trust, Maudsley Hospital, Denmark Hill, London, United Kingdom
| | - Allan H Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom; South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, Monks Orchard Road, Beckenham, Kent, United Kingdom
| | - Dag Aarsland
- Department of Old Age Psychiatry, Division of Academic Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom; Wolfson Centre for Age Related Diseases, Division of Neuroscience of the Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom; Stavanger University Hospital, Stavanger, Norway
| | - Anthony C Vernon
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom; MRC Centre for Neurodevelopmental Disorders, King's College London, United Kingdom.
| | - Sandrine Thuret
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom.
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Sohn M, Che X, Park HJ. Effects of Future Subjective Expectations on Cognitive Decline and Dementia among Middle-Aged and Older Adults. Behav Sci (Basel) 2024; 14:421. [PMID: 38785912 PMCID: PMC11118038 DOI: 10.3390/bs14050421] [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: 02/05/2024] [Revised: 05/08/2024] [Accepted: 05/14/2024] [Indexed: 05/25/2024] Open
Abstract
This study investigated the impact of subjective expectations of the future (e.g., income, life expectancy, and national policies) on the onset of dementia and mild cognitive impairment by sex and age in middle-aged and older adults. The Korean Longitudinal Study of Aging (KLoSA) data from 2008 to 2020, comprising 4116 people above 45 years, were used. A time-series analysis and multiple panel logistic regression were conducted to highlight subjective expectation trends and their effect on dementia and mild cognitive impairment, respectively. Low subjective expectations of the future negatively affected cognitive impairment (total: odds ratio [OR] = 1.02, 95% confidence interval [CI] = 1.01-1.03) and dementia (total: OR = 1.05, 95% CI = 1.03-1.06), and those of national policies were the biggest risk factors for cognitive impairment (total: OR = 1.17, 95% CI = 1.12-1.22) and dementia (total: OR = 1.10, 95% CI = 1.07-1.13). Individuals about to retire and with low expectations of workability were more likely to develop cognitive impairment (total: OR = 1.03, 95% CI = 1.02-1.06). Subjective expectations of economic downturn also caused cognitive impairment, especially in women (OR = 1.04, 95% CI = 1.01-1.07) and early stage older adults (OR = 1.06, 95% CI = 1.02-1.10). Policymakers must consider the impact of changes in national policies and living environments on cognitive impairment and dementia in older adults.
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Affiliation(s)
- Minsung Sohn
- Division of Health and Medical Sciences, The Cyber University of Korea, Seoul 02708, Republic of Korea;
| | - Xianhua Che
- Department of Health Policy Research, Daejeon Public Health Policy Institute, Daejeon 35015, Chungcheong-do, Republic of Korea;
| | - Hee-Jung Park
- Department of Dental Hygiene, College of Health Science, Kangwon National University, Samcheok 25949, Gangwon-do, Republic of Korea
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Ibrahim A, Cesari M, Heidbreder A, Defrancesco M, Brandauer E, Seppi K, Kiechl S, Högl B, Stefani A. Sleep features and long-term incident neurodegeneration: a polysomnographic study. Sleep 2024; 47:zsad304. [PMID: 38001022 PMCID: PMC10925953 DOI: 10.1093/sleep/zsad304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 11/09/2023] [Indexed: 11/26/2023] Open
Abstract
STUDY OBJECTIVES Sleep is altered early in neurodegenerative diseases (NDDs) and may contribute to neurodegeneration. Long-term, large sample-size studies assessing NDDs association with objective sleep measures are scant. We aimed to investigate whether video-polysomnography (v-PSG)-based sleep features are associated with long-term NDDs incidence. METHODS Retrospective cohort study of patients referred 2004-2007 to the Sleep Disorders Unit, Neurology, Medical University Innsbruck, Austria. All patients ≥ 18 years undergoing v-PSG and without NDDs at baseline or within 5 years were included. Main outcome was NDDs diagnosis ≥5 years after v-PSG. RESULTS Of 1454 patients assessed for eligibility, 999 (68.7%) met inclusion criteria (68.3% men; median age 54.9 (IQR 33.9-62.7) years). Seventy-five patients (7.5%) developed NDDs and 924 (92.5%) remained disease-free after a median of 12.8 (IQR 9.9-14.6) years. After adjusting for demographic, sleep, and clinical covariates, a one-percentage decrease in sleep efficiency, N3-, or rapid-eye-movement (REM)-sleep was associated with 1.9%, 6.5%, or 5.2% increased risk of incident NDDs (HR 1.019, 1.065, and 1.052). One-percentage decrease in wake within sleep period time represented a 2.2% reduced risk of incident NDDs (HR 0.978). Random-forest analysis identified wake, followed by N3 and REM-sleep percentages, as the most important feature associated with NDDs diagnosis. Additionally, multiple sleep features combination improved discrimination of incident NDDs compared to individual sleep stages (concordance-index 0.72). CONCLUSIONS These findings support contribution of sleep changes to NDDs pathogenesis and provide insights into the temporal window during which these differences are detectable, pointing to sleep as early NDDs marker and potential target of neuroprotective strategies.
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Affiliation(s)
- Abubaker Ibrahim
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Matteo Cesari
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Anna Heidbreder
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Michaela Defrancesco
- Division of Psychiatry I, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Medical University of Innsbruck, Innsbruck, Austria
| | - Elisabeth Brandauer
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Klaus Seppi
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Stefan Kiechl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Birgit Högl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Ambra Stefani
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
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Ainsworth NJ, Marawi T, Maslej MM, Blumberger DM, McAndrews MP, Perivolaris A, Pollock BG, Rajji TK, Mulsant BH. Cognitive Outcomes After Antidepressant Pharmacotherapy for Late-Life Depression: A Systematic Review and Meta-Analysis. Am J Psychiatry 2024; 181:234-245. [PMID: 38321915 DOI: 10.1176/appi.ajp.20230392] [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] [Indexed: 02/08/2024]
Abstract
OBJECTIVE The authors evaluated whether treatment of late-life depression (LLD) with antidepressants leads to changes in cognitive function. METHODS A systematic review and meta-analysis of prospective studies of antidepressant pharmacotherapy for adults age 50 or older (or mean age of 65 or older) with LLD was conducted. MEDLINE, EMBASE, and PsycInfo were searched through December 31, 2022. The primary outcome was a change on cognitive test scores from baseline to after treatment. Secondary outcomes included the effects of specific medications and the associations between changes in depressive symptoms and cognitive test scores. Participants with bipolar disorder, psychotic depression, dementia, or neurological disease were excluded. Findings from all eligible studies were synthesized at a descriptive level, and a random-effects model was used to pool the results for meta-analysis. RESULTS Twenty-two studies were included. Thirteen of 19 studies showed an improvement on at least one cognitive test after antidepressant pharmacotherapy, with the most robust evidence for the memory and learning (nine of 16 studies) and processing speed (seven of 10 studies) domains and for sertraline (all five studies). Improvements in depressive symptoms were associated with improvement in cognitive test scores in six of seven relevant studies. The meta-analysis (eight studies; N=493) revealed a statistically significant overall improvement in memory and learning (five studies: effect size=0.254, 95% CI=0.103-0.404, SE=0.077); no statistically significant changes were seen in other cognitive domains. The evaluated risk of publication bias was low. CONCLUSION Antidepressant pharmacotherapy of LLD appears to improve certain domains of cognitive function, particularly memory and learning. This effect may be mediated by an improvement in depressive symptoms. Studies comparing individuals receiving pharmacotherapy with untreated control participants are needed.
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Affiliation(s)
- Nicholas J Ainsworth
- Centre for Addiction and Mental Health (CAMH), Toronto (Ainsworth, Marawi, Maslej, Blumberger, Pollock, Rajji, Mulsant); Department of Psychiatry, Temerty Faculty of Medicine (Ainsworth, Blumberger, Pollock, Mulsant), Institute of Medical Science, Temerty Faculty of Medicine (Marawi, Perivolaris), and Department of Psychology (McAndrews), University of Toronto, Toronto; Krembil Brain Institute, University Health Network, Toronto (McAndrews); Department of Surgery, St. Michael's Hospital, Unity Health Toronto, Toronto (Perivolaris); Toronto Dementia Research Alliance, Toronto (Rajji)
| | - Tulip Marawi
- Centre for Addiction and Mental Health (CAMH), Toronto (Ainsworth, Marawi, Maslej, Blumberger, Pollock, Rajji, Mulsant); Department of Psychiatry, Temerty Faculty of Medicine (Ainsworth, Blumberger, Pollock, Mulsant), Institute of Medical Science, Temerty Faculty of Medicine (Marawi, Perivolaris), and Department of Psychology (McAndrews), University of Toronto, Toronto; Krembil Brain Institute, University Health Network, Toronto (McAndrews); Department of Surgery, St. Michael's Hospital, Unity Health Toronto, Toronto (Perivolaris); Toronto Dementia Research Alliance, Toronto (Rajji)
| | - Marta M Maslej
- Centre for Addiction and Mental Health (CAMH), Toronto (Ainsworth, Marawi, Maslej, Blumberger, Pollock, Rajji, Mulsant); Department of Psychiatry, Temerty Faculty of Medicine (Ainsworth, Blumberger, Pollock, Mulsant), Institute of Medical Science, Temerty Faculty of Medicine (Marawi, Perivolaris), and Department of Psychology (McAndrews), University of Toronto, Toronto; Krembil Brain Institute, University Health Network, Toronto (McAndrews); Department of Surgery, St. Michael's Hospital, Unity Health Toronto, Toronto (Perivolaris); Toronto Dementia Research Alliance, Toronto (Rajji)
| | - Daniel M Blumberger
- Centre for Addiction and Mental Health (CAMH), Toronto (Ainsworth, Marawi, Maslej, Blumberger, Pollock, Rajji, Mulsant); Department of Psychiatry, Temerty Faculty of Medicine (Ainsworth, Blumberger, Pollock, Mulsant), Institute of Medical Science, Temerty Faculty of Medicine (Marawi, Perivolaris), and Department of Psychology (McAndrews), University of Toronto, Toronto; Krembil Brain Institute, University Health Network, Toronto (McAndrews); Department of Surgery, St. Michael's Hospital, Unity Health Toronto, Toronto (Perivolaris); Toronto Dementia Research Alliance, Toronto (Rajji)
| | - Mary Pat McAndrews
- Centre for Addiction and Mental Health (CAMH), Toronto (Ainsworth, Marawi, Maslej, Blumberger, Pollock, Rajji, Mulsant); Department of Psychiatry, Temerty Faculty of Medicine (Ainsworth, Blumberger, Pollock, Mulsant), Institute of Medical Science, Temerty Faculty of Medicine (Marawi, Perivolaris), and Department of Psychology (McAndrews), University of Toronto, Toronto; Krembil Brain Institute, University Health Network, Toronto (McAndrews); Department of Surgery, St. Michael's Hospital, Unity Health Toronto, Toronto (Perivolaris); Toronto Dementia Research Alliance, Toronto (Rajji)
| | - Argyrios Perivolaris
- Centre for Addiction and Mental Health (CAMH), Toronto (Ainsworth, Marawi, Maslej, Blumberger, Pollock, Rajji, Mulsant); Department of Psychiatry, Temerty Faculty of Medicine (Ainsworth, Blumberger, Pollock, Mulsant), Institute of Medical Science, Temerty Faculty of Medicine (Marawi, Perivolaris), and Department of Psychology (McAndrews), University of Toronto, Toronto; Krembil Brain Institute, University Health Network, Toronto (McAndrews); Department of Surgery, St. Michael's Hospital, Unity Health Toronto, Toronto (Perivolaris); Toronto Dementia Research Alliance, Toronto (Rajji)
| | - Bruce G Pollock
- Centre for Addiction and Mental Health (CAMH), Toronto (Ainsworth, Marawi, Maslej, Blumberger, Pollock, Rajji, Mulsant); Department of Psychiatry, Temerty Faculty of Medicine (Ainsworth, Blumberger, Pollock, Mulsant), Institute of Medical Science, Temerty Faculty of Medicine (Marawi, Perivolaris), and Department of Psychology (McAndrews), University of Toronto, Toronto; Krembil Brain Institute, University Health Network, Toronto (McAndrews); Department of Surgery, St. Michael's Hospital, Unity Health Toronto, Toronto (Perivolaris); Toronto Dementia Research Alliance, Toronto (Rajji)
| | - Tarek K Rajji
- Centre for Addiction and Mental Health (CAMH), Toronto (Ainsworth, Marawi, Maslej, Blumberger, Pollock, Rajji, Mulsant); Department of Psychiatry, Temerty Faculty of Medicine (Ainsworth, Blumberger, Pollock, Mulsant), Institute of Medical Science, Temerty Faculty of Medicine (Marawi, Perivolaris), and Department of Psychology (McAndrews), University of Toronto, Toronto; Krembil Brain Institute, University Health Network, Toronto (McAndrews); Department of Surgery, St. Michael's Hospital, Unity Health Toronto, Toronto (Perivolaris); Toronto Dementia Research Alliance, Toronto (Rajji)
| | - Benoit H Mulsant
- Centre for Addiction and Mental Health (CAMH), Toronto (Ainsworth, Marawi, Maslej, Blumberger, Pollock, Rajji, Mulsant); Department of Psychiatry, Temerty Faculty of Medicine (Ainsworth, Blumberger, Pollock, Mulsant), Institute of Medical Science, Temerty Faculty of Medicine (Marawi, Perivolaris), and Department of Psychology (McAndrews), University of Toronto, Toronto; Krembil Brain Institute, University Health Network, Toronto (McAndrews); Department of Surgery, St. Michael's Hospital, Unity Health Toronto, Toronto (Perivolaris); Toronto Dementia Research Alliance, Toronto (Rajji)
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Liu J, Chen Q. Sequential link in depression, sleep and cognition: Longitudinal evidence from a serial multiple mediation analysis of older adults in China. Arch Gerontol Geriatr 2024; 117:105249. [PMID: 37952418 DOI: 10.1016/j.archger.2023.105249] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/19/2023] [Accepted: 10/21/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND A growing body of literature examines the link between depression, sleep and cognition, but little is known regarding the extent to which this relationship holds among older adults over time. OBJECTIVE This study examines how sleep duration mediates the relationship between depressive symptoms and cognitive performance, by utilizing partial least squares structural equation modelling (PLS-SEM) estimation. METHODS This study utilizes the 2013-18 China Health and Retirement Longitudinal Study (CHARLS) dataset, of which 3557 participants over the age of 50 satisfied inclusion criteria. Depressive symptoms and cognitive performance are measured by the Center for Epidemiological Studies Depression Scale (CESD) and the Mini-Mental State Examination (MMSE); sleep duration is assessed using the adapted Pittsburgh Sleep Quality Index (PSQI). A serial multiple mediation model was built to assess how depressive symptoms in 2013 and in 2018 are related, in addition to assessing their links with sleep duration and cognitive performance. FINDINGS Results indicate that early depression positively predicts depression progression (std.β = 0.564, 95 % Confidence Interval: 0.534, 0.594), but negatively predicts sleep duration (std.β = -0.081, 95 % CI: -0.128, -0.034) and cognitive performance (std.β = -0.118, 95 % CI: -0.165, -0.072). The sequential indirect effect of early depression operating via depression progression and sleep duration is evaluated to be -0.083 (95 % CI: -0.110, -0.056), representing as much as 41.29 % of the total effect. CONCLUSIONS Early depressive symptoms are directly associated with increased depressive symptoms and shortened sleep, which are identified as key channels through which early depression is linked with worsened cognition. CLINICAL IMPLICATIONS Many older adults may underestimate the adverse costs of early depression, since its net effects on cognition could be channeled indirectly and discretely via depression progression and sleep, which is worth highlighting in health guidelines and clinical recommendations.
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Affiliation(s)
- Ji Liu
- Faculty of Education, Shaanxi Normal University, Xian, Shaanxi, China
| | - Qiaoyi Chen
- School of Basic Medical Sciences, Xian Jiaotong University, Xian, Shaanxi, China.
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Ma SL, Tang KT, Lau NCT, Chiu CLH, Lin C, Lam LCW, Lee ATC. Effect of computerized cognitive training on mood, cognition, and serum brain-derived neurotrophic factor level in late-life depression - a pilot randomized controlled trial. Front Psychiatry 2024; 14:1287822. [PMID: 38298930 PMCID: PMC10827875 DOI: 10.3389/fpsyt.2023.1287822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 12/21/2023] [Indexed: 02/02/2024] Open
Abstract
Background The aim of this pilot randomized controlled trial was to test the feasibility of a computerized cognitive training targeting executive dysfunction in late-life depression and to investigate its impact on mood, cognition, and brain-derived neurotrophic factor (BDNF) levels. Methods A total of 28 community-living Chinese individuals aged 55-75 with moderate-to-severe depression and cognitive symptoms (but without mild cognitive impairment or dementia) were recruited from a community centre in Hong Kong. Participants were randomly allocated to either the experimental (receiving computerized cognitive training) or the control group (receiving computer-based health education). Both programs lasted for one hour and were conducted twice a week for 6 weeks at the community centre. We assessed mood using the Hamilton Rating Scale for Depression (HAM-D) and Patient Health Questionaire-9 (PHQ-9), cognition using the Montreal Cognitive Assessment (MoCA), and serum BDNF levels at baseline and follow-up. We performed repeated measures analysis of variance to compare the differences in outcome changes between groups and correlation analysis to test if changes in mood and cognition correlated with changes in BDNF level. Results Our sample had a mean age of 66.8 (SD = 5.3) years, a mean HAM-D score of 19.4 (SD = 7.5), and a mean PHQ-9 score of 18.0 (SD = 6.3). No adverse effects were reported. Significant differences were observed between the experimental and control groups in changes in HAM-D (-8.4 vs. -2.9; group difference = -5.5; p = 0.01), PHQ-9 (-6.6 vs. -0.6; -6.0; p < 0.001), MoCA (1.4 vs. -1.3; 2.7; p = 0.001), and serum BDNF levels (in pg/ml; 2088.3 vs. -3277.4; 5365.6; p = 0.02). Additionally, changes in HAM-D, PHQ-9, and MoCA scores correlated significantly with changes in BDNF level. Conclusion With computerized cognitive training improving mood and cognition and increasing serum BDNF levels in 6 weeks, it may serve as a safe and effective evidence-based alternative or adjuvant treatment for late-life depression. Clinical trial registration https://www.chictr.org.cn/indexEN.html, identifier ChiCTR1900027029.
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Fernández Fernández R, Martín JI, Antón MAM. Depression as a Risk Factor for Dementia: A Meta-Analysis. J Neuropsychiatry Clin Neurosci 2023; 36:101-109. [PMID: 38111332 DOI: 10.1176/appi.neuropsych.20230043] [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] [Indexed: 12/20/2023]
Abstract
Dementia is a syndrome characterized by the deterioration of cognitive function beyond what is expected. The increased risk of developing this syndrome resulting from established modifiable risk factors, such as depressive episodes, is currently a subject of interest. The aim of this study was to review the scientific evidence that addresses the relationship between depression and dementia. A bibliographic search of the PubMed and PsycInfo databases for articles published over the past 20 years was conducted with the following medical subject heading terms: depression or depressive, dementia, and incidence or cohort studies. After articles meeting the inclusion criteria were selected, relevant moderating variables were grouped as sample characteristics, methodological characteristics, extrinsic characteristics, and outcome variables. The 26 selected studies resulted in a sample comprising 1,760,262 individuals. Statistical analysis revealed a pooled relative risk for the development of dementia of 1.82 (95% CI=1.62-2.06). The primary variables evaluated were the diagnostic methods for depression and dementia and the presence of depression. Other variables, such as mean age, methodological quality of each study, follow-up time, and publication year, were also evaluated. Age was statistically but not clinically significant. No relevant publication bias or alterations in the results were found when accounting for the quality of the studies. It is recommended that new moderating variables be evaluated or that existing variables be reformulated in future studies.
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Affiliation(s)
- Roberto Fernández Fernández
- Department of Psychiatry, Infanta Cristina University Hospital, Madrid (Fernández Fernández); Department of Methodology of Behavioral Sciences, National University of Distance Education (UNED), Madrid (all authors)
| | - Javier Ibias Martín
- Department of Psychiatry, Infanta Cristina University Hospital, Madrid (Fernández Fernández); Department of Methodology of Behavioral Sciences, National University of Distance Education (UNED), Madrid (all authors)
| | - María Araceli Maciá Antón
- Department of Psychiatry, Infanta Cristina University Hospital, Madrid (Fernández Fernández); Department of Methodology of Behavioral Sciences, National University of Distance Education (UNED), Madrid (all authors)
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11
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Chen B, Yang M, Liu M, Wang Q, Zhou H, Zhang M, Hou L, Wu Z, Zhang S, Lin G, Zhong X, Ning Y. Differences in olfactory functional connectivity in early-onset depression and late-onset depression. PSYCHORADIOLOGY 2023; 3:kkad030. [PMID: 38666125 PMCID: PMC10917377 DOI: 10.1093/psyrad/kkad030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 11/12/2023] [Accepted: 12/03/2023] [Indexed: 04/28/2024]
Abstract
Background Late-onset depression (LOD) and early-onset depression (EOD) exhibit different pathological mechanisms and clinical phenotypes, including different extents of olfactory dysfunction. However, the brain abnormalities underlying the differences in olfactory dysfunction between EOD and LOD remain unclear. Objective The aim of this study was to compare the functional connectivity (FC) patterns of olfactory regions between EOD patients and LOD patients and examine their relationship with cognitive function. Methods One hundred and five patients with EOD, 101 patients with LOD and 160 normal controls (NCs) were recruited for the present study. Participants underwent clinical assessment, olfactory testing, cognitive assessments, and magnetic resonance imaging. Eight regions of the primary and secondary olfactory regions were selected to investigate olfactory FC. Results Patients with LOD exhibited decreased odor identification (OI) compared with patients with EOD and NCs. The LOD group exhibited decreased FC compared with the EOD and NC groups when primary and secondary olfactory regions were selected as the regions of interest (the piriform cortex, lateral entorhinal cortex, and orbital-frontal cortex). Additionally, these abnormal olfactory FCs were associated with decreased cognitive function scores and OI, and the FC between the left orbital-frontal cortex and left amygdala was a partial mediator of the relationship between global cognitive scores and OI. Conclusion Overall, patients with LOD exhibited decreased FC in both the primary and secondary olfactory cortices compared with patients with EOD, and abnormal olfactory FC was associated with OI dysfunction and cognitive impairment. The FC between the orbital-frontal cortex and amygdala mediated the relationship between global cognitive function and OI.
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Affiliation(s)
- Ben Chen
- Geriatric Neuroscience Center, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province 510370, China
- Smell & Taste Clinic, Department of Otorhinolaryngology, TU Dresden 01307, Germany
| | - Mingfeng Yang
- Geriatric Neuroscience Center, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province 510370, China
| | - Meiling Liu
- Geriatric Neuroscience Center, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province 510370, China
| | - Qiang Wang
- Geriatric Neuroscience Center, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province 510370, China
| | - Huarong Zhou
- Geriatric Neuroscience Center, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province 510370, China
| | - Min Zhang
- Geriatric Neuroscience Center, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province 510370, China
| | - Le Hou
- Geriatric Neuroscience Center, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province 510370, China
| | - Zhangying Wu
- Geriatric Neuroscience Center, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province 510370, China
| | - Si Zhang
- Geriatric Neuroscience Center, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province 510370, China
| | - Gaohong Lin
- Geriatric Neuroscience Center, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province 510370, China
| | - Xiaomei Zhong
- Geriatric Neuroscience Center, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province 510370, China
| | - Yuping Ning
- Geriatric Neuroscience Center, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province 510370, China
- The first School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong Province 510515, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou 510370, China
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12
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Chang KH, Wang C, Nester CO, Katz MJ, Byrd DA, Lipton RB, Rabin LA. Examining the role of participant and study partner report in widely-used classification approaches of mild cognitive impairment in demographically-diverse community dwelling individuals: results from the Einstein aging study. Front Aging Neurosci 2023; 15:1221768. [PMID: 38076542 PMCID: PMC10702963 DOI: 10.3389/fnagi.2023.1221768] [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: 05/12/2023] [Accepted: 09/29/2023] [Indexed: 01/28/2024] Open
Abstract
Objective The role of subjective cognitive concerns (SCC) as a diagnostic criterion for MCI remains uncertain and limits the development of a universally (or widely)-accepted MCI definition. The optimal MCI definition should define an at-risk state and accurately predict the development of incident dementia. Questions remain about operationalization of definitions of self- and informant-reported SCCs and their individual and joint associations with incident dementia. Methods The present study included Einstein Aging Study participants who were non-Hispanic White or Black, free of dementia at enrollment, had follow-up, and completed neuropsychological tests and self-reported SCC at enrollment to determine MCI status. Informant-reported SCC at baseline were assessed via the CERAD clinical history questionnaire. Self-reported SCC were measured using the CERAD, items from the EAS Health Self-Assessment, and the single memory item from the Geriatric Depression Scale. Cox proportional hazards models examined the association of different operationalizations of SCC with Petersen and Jak/Bondi MCI definitions on the risk of dementia, further controlling for age, sex, education, and race/ethnicity. Time-dependent sensitivity and specificity at specific time points for each definition, and Youden's index were calculated as an accuracy measure. Cox proportional hazards models were also used to evaluate the associations of combinations of self- and informant-reported SCC with the risk of incident dementia. Results 91% of the sample endorsed at least one SCC. Youden's index showed that not including SCC in either Jak/Bondi or Petersen classifications had the best balance between sensitivity and specificity across follow-up. A subset of individuals with informants, on average, had a lower proportion of non-Hispanic Blacks and 94% endorsed at least one self-reported SCC. Both informant-reported and self-reported SCC were significantly associated with incident dementia. Conclusion Our findings suggest that the SCC criterion may not improve the predictive validity for dementia when included in widely-employed definitions of MCI. Consistent with some prior research, informant-reported SCC was more related to risk of incident dementia than self-reported SCC. Given that requiring informant report as a diagnostic criterion may unintentionally exclude health disparate groups, additional consideration is needed to determine how best to utilize informant-report in MCI diagnosis.
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Affiliation(s)
- Katherine H. Chang
- Department of Psychology, Queens College, City University of New York (CUNY), Queens, NY, United States
- Department of Psychology, The Graduate Center, City University of New York (CUNY), New York, NY, United States
| | - Cuiling Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Caroline O. Nester
- Department of Psychology, Queens College, City University of New York (CUNY), Queens, NY, United States
- Department of Psychology, The Graduate Center, City University of New York (CUNY), New York, NY, United States
| | - Mindy J. Katz
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Desiree A. Byrd
- Department of Psychology, Queens College, City University of New York (CUNY), Queens, NY, United States
- Department of Psychology, The Graduate Center, City University of New York (CUNY), New York, NY, United States
| | - Richard B. Lipton
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
- Department of Psychiatry and Behavioral Medicine, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Laura A. Rabin
- Department of Psychology, Queens College, City University of New York (CUNY), Queens, NY, United States
- Department of Psychology, The Graduate Center, City University of New York (CUNY), New York, NY, United States
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
- Department of Psychology, Brooklyn College, City University of New York (CUNY), Brooklyn, NY, United States
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Baek SU, Yoon JH. Depressive Symptomatology as a Predictor of Cognitive Impairment: Evidence from the Korean Longitudinal Study of Aging (KLOSA), 2006-2020. Biomedicines 2023; 11:2713. [PMID: 37893087 PMCID: PMC10604701 DOI: 10.3390/biomedicines11102713] [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: 09/18/2023] [Revised: 09/30/2023] [Accepted: 10/02/2023] [Indexed: 10/29/2023] Open
Abstract
Depressive symptoms are recognized as risk factors for cognitive impairment with intricate underlying biological mechanisms. We explored the link between depressive symptoms and cognitive impairment onset; we also assessed how this association is influenced by educational levels. This study included 5843 individuals aged ≥45 years, comprising 27,908 observations from 2006 to 2020. Based on repeated measurements of each participant, we estimated the association between depressive symptoms and cognitive impairment onset after a 2-year follow-up by using generalized estimating equations. The incidence rate was 9.4% among those individuals without depressive symptoms, which was in contrast with a rate of 21.0% among those individuals experiencing depressive symptoms. The odds ratio (OR) (95% confidence interval [CI]) for the association between depressive symptoms and cognitive impairment onset in the overall sample was 1.61 (1.47-1.76). This association was more pronounced among individuals with higher educational levels. Specifically, the OR (95% CI) of the association between depressive symptoms and cognitive impairment was highest among individuals with a college education (2.60 [1.78-3.81]), and the association was lowest among individuals with elementary or no education levels (1.45 [1.28-1.63]). Our findings highlight the idea that although individuals with higher educational backgrounds exhibit a diminished risk of cognitive impairment, the detrimental impacts of depressive symptoms on cognitive performance are particularly more pronounced within this group.
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Affiliation(s)
- Seong-Uk Baek
- Department of Occupational and Environmental Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea;
- The Institute for Occupational Health, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
- Graduate School, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Jin-Ha Yoon
- The Institute for Occupational Health, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
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Sinclair LI, Ball HA, Bolea-Alamanac BM. Does depression in mid-life predispose to greater cognitive decline in later life in the Whitehall II cohort? J Affect Disord 2023; 335:111-119. [PMID: 37172658 DOI: 10.1016/j.jad.2023.05.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 05/02/2023] [Accepted: 05/05/2023] [Indexed: 05/15/2023]
Abstract
BACKGROUND Later-life depression appears to have different symptomatology and possibly underlying pathology to younger adults. Depression is linked to dementia but whether it is a risk factor or an early sign of dementia remains unclear. Neuroinflammation is increasingly recognised in both conditions. AIMS To investigate the link between depression, inflammation and dementia. We hypothesised that recurrent depression increases the rate of cognitive decline in older adults and that this effect is modified by anti-inflammatory medication. METHODS We used data from Whitehall II including cognitive test results and reliable measures to assess depression. Depression was defined as a self-reported diagnosis or a score of ≥20 on the CESD. The presence/absence of inflammatory illness was assessed using a standardised list of inflammatory conditions. Individuals with dementia, chronic neurological and psychotic conditions were excluded. Logistic and linear regression was used to examine the effect of depression on cognitive test performance and the effect of chronic inflammation. LIMITATIONS Lack of clinical diagnoses of depression. RESULTS There were 1063 individuals with and 2572 without depression. Depression did not affect deterioration in episodic memory, verbal fluency or the AH4 test at 15-year follow up. We found no evidence of an effect of anti-inflammatory medication. Depressed individuals had worse cross-sectional performance on the Mill Hill test and tests of abstract reasoning and verbal fluency at both baseline and 15-year follow-up. CONCLUSIONS Using a UK based study with a long follow-up interval we have shown that depression in individuals aged >50 is not associated with increased cognitive decline.
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Affiliation(s)
- Lindsey Isla Sinclair
- Department of Clinical Neuroscience, Bristol Medical School, University of Bristol, Learning & Research Building, Southmead Hospital, BS10 5NB, United Kingdom of Great Britain and Northern Ireland.
| | - Harriet Ann Ball
- Department of Clinical Neuroscience, Bristol Medical School, University of Bristol, Learning & Research Building, Southmead Hospital, BS10 5NB, United Kingdom of Great Britain and Northern Ireland
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15
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Hou B, Zhang H. Latent profile analysis of depression among older adults living alone in China. J Affect Disord 2023; 325:378-385. [PMID: 36640808 DOI: 10.1016/j.jad.2022.12.154] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 12/28/2022] [Accepted: 12/31/2022] [Indexed: 01/13/2023]
Abstract
BACKGROUND The number of older adults living alone has increased significantly. Depression is one of the significant mental health problems they face; classifying depressive conditions into homogeneous subgroups can help discover hidden information. METHODS The data comes from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Latent profile analysis (LPA) was used to identify depression subgroups among elderly living alone, Chi-square tests and Kruskal-Wallis tests were used to univariate analysis, multinomial logistic regression was used to analyze the related factors. RESULTS 1831 older adults living alone were identified and classified as low-level (30.4 %), moderate-level (55.3 %) and high-level (14.4 %). All variables, except age, were significant in the univariate analysis. Multinomial logistic regression showed that not participating in exercise, sometimes interacting with friends, anxiety symptoms, and impaired IADL were associated with the moderate- and high-level of depression in older adults living alone; good or fair self-rated health and life satisfaction were associated with the low-level of depression in older adults living alone. Anxiety symptoms were associated with high-level of depression in older adults living alone compared to moderate-level; good or fair self-rated health and life satisfaction were associated with moderate-level of depression in older adults living alone. LIMITATIONS The CES-D-10 cannot fully determine the presence of depression in elderly people living alone at high-level. CONCLUSIONS In future primary health care, it would be more meaningful to provide targeted interventions for different subgroups of depression in older adults living alone.
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Affiliation(s)
- Bailing Hou
- Department of Nursing, Jinzhou Medical University, Jinzhou, China
| | - Huijun Zhang
- Department of Nursing, Jinzhou Medical University, Jinzhou, China.
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16
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Demnitz-King H, Saba L, Lau Y, Munns L, Zabihi S, Schlosser M, Del-Pino-Casado R, Orgeta V, Marchant NL. Association between anxiety symptoms and Alzheimer's disease biomarkers in cognitively healthy adults: A systematic review and meta-analysis. J Psychosom Res 2023; 166:111159. [PMID: 36709611 DOI: 10.1016/j.jpsychores.2023.111159] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/22/2022] [Accepted: 01/16/2023] [Indexed: 01/21/2023]
Abstract
OBJECTIVE Anxiety has been identified as both a risk factor and prodromal symptom for Alzheimer's disease (AD) and related dementias, however, the underlying neurobiological correlates remain unknown. The aim of this systematic review and meta-analysis was to examine the association between anxiety symptoms and two defining markers of AD neuropathology: amyloid-beta (Aβ) and tau. METHODS Systematic literature searches were conducted across 5 databases. Studies investigating the relationship between anxiety and AD neuropathology (i.e., Aβ and/or tau) in cognitively healthy adults were eligible. Where possible, effect sizes were combined across studies, for Aβ and tau separately, using random-effects meta-analyses. Sensitivity analyses were performed to assess whether results differed according to anxiety type (i.e., state and trait) and biomarker assessment modality (i.e., positron emission tomography and cerebrospinal fluid). RESULTS Twenty-seven studies reporting data from 14 unique cohorts met eligibility criteria. Random-effects meta-analyses revealed no associations between self-reported anxiety symptoms and either Aβ (13 studies, Fisher's z = 0.02, 95% confidence interval [CI] -0.01-0.05, p = 0.194) or tau (4 studies, Fisher's z = 0.04, 95% CI -0.02-0.09, p = 0.235). Results remained unchanged across sensitivity analyses. CONCLUSIONS In cognitively healthy adults, meta-analytic syntheses revealed no associations between anxiety symptoms and either Aβ or tau. There is a critical need, however, for larger studies with follow-up periods to examine the effect of anxiety symptom onset, severity, and chronicity on AD neuropathology. Additionally, further research investigating other potential neurobiological correlates is crucial to advance scientific understanding of the relationship between anxiety and dementia.
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Affiliation(s)
| | - Lisa Saba
- Division of Psychiatry, University College London, London, United Kingdom
| | - Yolanda Lau
- Division of Psychiatry, University College London, London, United Kingdom
| | - Lydia Munns
- Division of Psychiatry, University College London, London, United Kingdom; Department of Psychology, University of York, York, United Kingdom
| | - Sedigheh Zabihi
- Division of Psychiatry, University College London, London, United Kingdom
| | - Marco Schlosser
- Division of Psychiatry, University College London, London, United Kingdom; Department of Psychology, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
| | | | - Vasiliki Orgeta
- Division of Psychiatry, University College London, London, United Kingdom
| | - Natalie L Marchant
- Division of Psychiatry, University College London, London, United Kingdom.
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Brenowitz WD, Yaffe K. Observational studies in Alzheimer disease: bridging preclinical studies and clinical trials. Nat Rev Neurol 2022; 18:747-757. [PMID: 36316487 PMCID: PMC9894623 DOI: 10.1038/s41582-022-00733-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/28/2022] [Indexed: 11/29/2022]
Abstract
Recent high-profile failures of Alzheimer disease treatments at the clinical trial stage have led to renewed efforts to identify and test novel interventions for Alzheimer disease and related dementias (ADRD). In this Perspective, we highlight the importance of including well-designed observational studies as part of these efforts. Observational research is an important cornerstone for gathering evidence on risk factors and causes of ADRD; this evidence can then be combined with data from preclinical studies and randomized controlled trials to inform the development of effective interventions. Observational study designs can be particularly beneficial for hypothesis generation, posing questions that are unethical or impractical for a trial setting, studying life-course associations, research in populations typically not included in trials, and public health surveillance. Here, we discuss each of these situations in the specific context of ADRD research. We also highlight novel approaches to enhance causal inference and provide a timely discussion on how observational epidemiological studies help provide a bridge between preclinical studies and successful interventions for ADRD.
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Affiliation(s)
- Willa D Brenowitz
- Departments of Psychiatry and Behavioral Sciences, Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Kristine Yaffe
- Departments of Psychiatry and Behavioral Sciences, Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
- San Francisco VA Medical Center, San Francisco, CA, USA.
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Ayhan Y, Yoseph SA, Miller BL. Management of Psychiatric Symptoms in Dementia. Neurol Clin 2022; 41:123-139. [DOI: 10.1016/j.ncl.2022.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Wu T, Li C, Zhu Y, Ma Y, Hua R, Zhong B, Xie W. The trajectories of depressive symptoms and subsequent incident dementia, coronary heart diseases, stroke and all-cause mortality. J Affect Disord 2022; 312:9-16. [PMID: 35690126 DOI: 10.1016/j.jad.2022.06.001] [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: 04/02/2022] [Revised: 05/23/2022] [Accepted: 06/06/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Evidence suggests the occurrence of depressive symptoms in mid- to late-life inflates the risk for ageing-related morbidity compared to people without depressive symptoms. The eventual association between depressive symptoms in mid- to late-life and long-term (over 10-year) risks for incident dementia, coronary heart disease (CHD), stroke, and morbidity is to be established. METHODS This longitudinal cohort study utilized Health and Retirement Study (HRS) of U.S residents aged ≥ 50 years who were interviewed every 2-year during follow-up (average follow-up: 11.6 ± 2.85 years). Trajectories of depressive symptoms were assessed by the Center for Epidemiologic Studies Depression (CES-D) scale from 1994 to 2000 at baseline. Incident dementia, CHD, stroke and all-cause mortality were determined from 2000 to 2018. RESULTS Among 7810 individuals who were free from dementia, CHD and stroke, five trajectories of depressive symptoms were identified: non-depressed (36.7 %), mild (48.8 %), worsening (7.8 %), improving (4.1 %) and persistent (2.7 %). Compared with those in the non-depressed group, participants with mild, worsening and persistent depressive symptoms had significantly greater hazards of incident dementia (multivariable adjusted hazard ratios and 95 % confidence intervals: 1.32 [1.17-1.48], 1.58 [1.30-1.93], 2.82 [2.17-3.67], respectively), CHD (1.13 [1.03-1.24], 1.47 [1.25-1.73], 1.34 [1.03-1.74], respectively), stroke (1.30 [1.12-1.52], 1.58 [1.23-2.04], 1.71 [1.16-2.53], respectively) and all-cause mortality (1.17 [1.07-1.27], 1.46 [1.27-1.68], 1.66 [1.35-2.06], respectively). The hazards of incident events, except for CHD, were not significantly greater in individuals with improving depressive symptoms. CONCLUSIONS The present findings suggest even sub-clinical threshold depressive symptoms were associated with the hazards of ageing related diseases while such associations were not significant with managed depressive symptoms.
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Affiliation(s)
- Tao Wu
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China; PUCRI Heart and Vascular Health Research Center at Peking University Shougang Hospital, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
| | - Chenglong Li
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China; PUCRI Heart and Vascular Health Research Center at Peking University Shougang Hospital, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
| | - Yidan Zhu
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China; PUCRI Heart and Vascular Health Research Center at Peking University Shougang Hospital, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
| | - Yanjun Ma
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China; PUCRI Heart and Vascular Health Research Center at Peking University Shougang Hospital, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
| | - Rong Hua
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China; PUCRI Heart and Vascular Health Research Center at Peking University Shougang Hospital, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
| | - Baoliang Zhong
- Department of Geriatric Psychiatry, Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology, Wuhan, China
| | - Wuxiang Xie
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China; PUCRI Heart and Vascular Health Research Center at Peking University Shougang Hospital, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China.
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20
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Clinical considerations when using assessment tools to identify depression in older adults with mild cognitive impairment. Int Psychogeriatr 2022; 34:413-416. [PMID: 35465861 DOI: 10.1017/s1041610222000424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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21
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Etkin RG, Silverman WK, Lebowitz ER. Anxiety and Social Functioning: The Moderating Roles of Family Accommodation and Youth Characteristics. Res Child Adolesc Psychopathol 2022; 50:781-794. [PMID: 34997402 DOI: 10.1007/s10802-021-00884-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/02/2021] [Indexed: 10/19/2022]
Abstract
It is well established that anxiety can contribute to social functioning difficulties during childhood and adolescence. It is less clear which anxious youth are most likely to struggle socially, and what types of difficulties they are likely to experience, limiting the extent of identification and intervention efforts. In this study, we aim to improve specification of the linkages between youth anxiety severity and social functioning by examining several potential moderators of these associations. Specifically, we examine whether family accommodation of youth anxiety, in addition to youth age, sex, and the presence of a social anxiety disorder diagnosis, influence associations between anxiety severity and social functioning among youth with anxiety disorders. Youth (N = 158, Mage = 9.99 years, SD = 2.74) and their mothers completed diagnostic interviews and questionnaires assessing anxiety and depression symptoms, family accommodation, and a range of social functioning variables. In a series of hierarchical linear regressions, we found that youth anxiety severity was most strongly associated with social impairment at high levels of family accommodation for adolescents and for youth without social anxiety disorder (mother-report). We also found several direct effects of anxiety severity, family accommodation, and youth age, sex, and diagnosis on different facets of youth social functioning (youth- and/or mother-report). We discuss clinical implications and future research directions focused on specifying the nature of associations between youth anxiety and their social functioning.
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Affiliation(s)
- Rebecca G Etkin
- Child Study Center, Yale University School of Medicine, New Haven, USA.
| | - Wendy K Silverman
- Child Study Center, Yale University School of Medicine, New Haven, USA
| | - Eli R Lebowitz
- Child Study Center, Yale University School of Medicine, New Haven, USA
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22
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Kwok JOT, Yan RWK, Kwok CPC, Cheng GWH, Lin C, Wong BHC, Cheng ST, Lee ATC, Lam LCW. Common mental disorders during the COVID-19 pandemic in Hong Kong: Age-related differences and implications for dementia risk. Front Psychiatry 2022; 13:909162. [PMID: 36186878 PMCID: PMC9515428 DOI: 10.3389/fpsyt.2022.909162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 08/24/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND The COVID-19 pandemic has imposed a profound negative impact on the mental health and wellbeing of societies and individuals worldwide. Older adults may be more vulnerable to the mental health effects of the pandemic, either directly from the infection itself or indirectly through the preventive measures. However, the existing literature on mental health in the older age groups has not been consistent so far. The aim of this study was therefore to assess the prevalence of common mental disorders (CMD; including depression and anxiety disorders) given their association with dementia risk, and to further examine age-related differences between older (≥60 years old) and younger (18-59 years old) adult's psychological status during the COVID-19 pandemic. METHOD This was a secondary analysis of a cross-sectional survey-study conducted during the second wave of COVID-19 pandemic in Hong Kong. The survey was disseminated through different social media platforms to the general population and included sociodemographic questions, self-reported physical health, and previous encounter with SARS or COVID-19. CMD was the primary outcome and was assessed using the 6-item Kessler Scale. A total of 1030 adults fulfilled inclusion criteria. RESULTS The prevalence of CMD during the pandemic was 16.1%. Compared to younger adults, older adults were significantly less likely to have a CMD (unadjusted OR = 0.07, 95% CI = 0.02-0.30, p < 0.001), with 18.1% of younger adults having CMD compared to 1.6% in the older cohort. Age differences remained significant after controlling for sociodemographic factors, physical health, and previous encounter with SARS or COVID-19 (adjusted OR = 0.12, 95% CI = 0.02-0.57, p = 0.008). CONCLUSION Common mental disorders are highly prevalent during the COVID-19 pandemic in Hong Kong, though older adults appeared to be less affected mentally. Present findings highlight the urgent need to implement measures and strategies to mitigate the mental health problems, with particular attention to the younger cohort. Given their association with higher dementia risk, early detection and treatment of depression and anxiety disorders will be of critical importance in providing some relief to the already pressurized dementia burden in the longer term.
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Affiliation(s)
- Jessie O T Kwok
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Rachel W K Yan
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Charlotte P C Kwok
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Gabriel W H Cheng
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Cuichan Lin
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Brian H C Wong
- Department of Psychiatry, Tai Po Hospital, Hong Kong, Hong Kong SAR, China
| | - Sheung Tak Cheng
- Department of Health and Physical Education, The Education University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Allen T C Lee
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Linda C W Lam
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
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23
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Brenowitz WD, Al Hazzouri AZ, Vittinghoff E, Golden SH, Fitzpatrick AL, Yaffe K. Depressive Symptoms Imputed Across the Life Course Are Associated with Cognitive Impairment and Cognitive Decline. J Alzheimers Dis 2021; 83:1379-1389. [PMID: 34420969 PMCID: PMC9095065 DOI: 10.3233/jad-210588] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Depressive symptoms may increase risk for dementia, but findings are controversial because late-life depression may be a prodromal dementia symptom. Life course data on depression and dementia risk may clarify this association; however, data is limited. OBJECTIVE To impute adult depressive symptoms trajectories across adult life stages and estimate the association with cognitive impairment and decline. METHODS Using a pooled study of 4 prospective cohorts (ages 20-89), we imputed adult life course depressive symptoms trajectories based on Center for Epidemiologic Studies Depression Scale-10 (CESD-10) and calculated time-weighted averages for early adulthood (ages 20-49), mid-life (ages 50-69), and late-life (ages 70-89) for 6,122 older participants. Adjusted pooled logistic and mixed-effects models estimated associations of imputed depressive symptoms with two cognitive outcomes: cognitive impairment defined by established criteria and a composite cognitive score. RESULTS In separate models, elevated depressive symptoms in each life stage were associated with cognitive outcomes: early adulthood OR for cognitive impairment = 1.59 (95%CI: 1.35,1.87); mid-life OR = 1.94 (95%CI:1.16, 3.26); and late-life OR = 1.77 (95%CI:1.42, 2.21). When adjusted for depressive symptoms in the other life-stages, elevated depressive symptoms in early adulthood (OR = 1.73; 95%CI: 1.42,2.11) and late-life (OR = 1.43; 95%CI: 1.08,1.89) remained associated with cognitive impairment and were also associated with faster rates of cognitive decline (p < 0.05). CONCLUSION Imputing depressive symptom trajectories from pooled cohorts may help expand data across the life course. Our findings suggest early adulthood depressive symptoms may be a risk factor for cognitive impairment independent of mid- or late-life depressive symptoms.
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Affiliation(s)
- Willa D. Brenowitz
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, CA, USA
| | - Adina Zeki Al Hazzouri
- Department of Epidemiology, Mailman School of Public Health, Columbia University, NY, USA
| | - Eric Vittinghoff
- Department of Epidemiology and Biostatistics, University of California San Francisco, CA, USA
| | - Sherita H. Golden
- Department of Medicine Johns Hopkins University School of Medicine and Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Annette L. Fitzpatrick
- Departments of Family Medicine, Epidemiology, and Global Health, School of Public Health, University of Washington, WA, USA
| | - Kristine Yaffe
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, CA, USA
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, CA, USA
- San Francisco VA Health Care System, San Francisco, CA, USA
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