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Yang Y, Chen Y, Yang C, Chen K, Li X, Zhang Z. Contributions of early-life cognitive reserve and late-life leisure activity to successful and pathological cognitive aging. BMC Geriatr 2022; 22:831. [PMID: 36319960 PMCID: PMC9628084 DOI: 10.1186/s12877-022-03530-5] [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: 02/28/2022] [Accepted: 10/14/2022] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND The identification of factors that specifically influence pathological and successful cognitive aging is a prerequisite for implementing disease prevention and promoting successful aging. However, multi-domain behavioral factors that characterize the difference between successful and pathological cognitive aging are not clear yet. METHODS A group of community-dwelling older adults (N = 1347, aged 70-88 years) in Beijing was recruited in this cross-sectional study, and a sub-cohort was further divided into successful cognitive aging (SCA, N = 154), mild cognitive impairment (MCI, N = 256), and cognitively normal control (CNC, N = 173) groups. Analyses of variance, regression models with the Shapley value algorithm, and structural equation model (SEM) analyses were conducted to determine specific influencing factors and to evaluate their relative importance and interacting relationships in altering cognitive performance. RESULTS We found that abundant early-life cognitive reserve (ECR, including the level of education and occupational attainment) and reduced late-life leisure activity (LLA, including mental, physical, and social activities) were distinct characteristics of SCA and MCI, respectively. The level of education, age, mental activity, and occupational attainment were the top four important factors that explained 31.6% of cognitive variability. By SEM analyses, we firstly found that LLA partially mediated the relationship between ECR and cognition; and further multi-group SEM analyses showed ECR played a more direct role in the SCA group than in the MCI group: in the SCA group, only the direct effect of ECR on cognition was significant, and in the MCI group, direct effects between ECR, LLA and cognition were all significant. CONCLUSIONS Results of this large-sample community-based study suggest it is important for older adults to have an abundant ECR for SCA, and to keep a high level of LLA to prevent cognitive impairment. This study clarifies the important rankings of behavioral characteristics of cognitive aging, and the relationship that ECR has a long-lasting effect on LLA and finally on cognition, providing efficient guidance for older adults to improve their cognitive function and new evidence to explain the heterogeneity of cognitive aging.
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Affiliation(s)
- Yiru Yang
- grid.20513.350000 0004 1789 9964State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No.19, Xinjiekouwai Street, Beijing, 100875 China ,grid.27255.370000 0004 1761 1174School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, 250012 Shandong China ,grid.20513.350000 0004 1789 9964Beijing Aging Brain Rejuvenation Initiative (BABRI) Centre, Beijing Normal University, Beijing, 100875 China
| | - Yaojing Chen
- grid.20513.350000 0004 1789 9964State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No.19, Xinjiekouwai Street, Beijing, 100875 China ,grid.20513.350000 0004 1789 9964Beijing Aging Brain Rejuvenation Initiative (BABRI) Centre, Beijing Normal University, Beijing, 100875 China
| | - Caishui Yang
- grid.20513.350000 0004 1789 9964State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No.19, Xinjiekouwai Street, Beijing, 100875 China ,grid.20513.350000 0004 1789 9964Beijing Aging Brain Rejuvenation Initiative (BABRI) Centre, Beijing Normal University, Beijing, 100875 China ,grid.20513.350000 0004 1789 9964School of Systems Science, Beijing Normal University, Beijing, 100875 China
| | - Kewei Chen
- grid.20513.350000 0004 1789 9964Beijing Aging Brain Rejuvenation Initiative (BABRI) Centre, Beijing Normal University, Beijing, 100875 China ,grid.418204.b0000 0004 0406 4925Banner Alzheimer’s Institute, Phoenix, AZ 85006 USA
| | - Xin Li
- grid.20513.350000 0004 1789 9964State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No.19, Xinjiekouwai Street, Beijing, 100875 China ,grid.20513.350000 0004 1789 9964Beijing Aging Brain Rejuvenation Initiative (BABRI) Centre, Beijing Normal University, Beijing, 100875 China
| | - Zhanjun Zhang
- grid.20513.350000 0004 1789 9964State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No.19, Xinjiekouwai Street, Beijing, 100875 China ,grid.20513.350000 0004 1789 9964Beijing Aging Brain Rejuvenation Initiative (BABRI) Centre, Beijing Normal University, Beijing, 100875 China
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Residential trajectories across the life course and their association with cognitive functioning in later life. Sci Rep 2022; 12:17004. [PMID: 36220827 PMCID: PMC9553870 DOI: 10.1038/s41598-022-18501-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 08/12/2022] [Indexed: 12/29/2022] Open
Abstract
Previous work has found that later life urban-rural differences in cognitive health can be largely explained by indicators of cognitive reserve such as education or occupation. However, previous research concentrated on residence in limited, specific, periods. This study offers a detailed investigation on the association between urban (vs. rural) residence from birth, and cognitive functioning in older age. Using data from the Survey of Health Ageing and Retirement in Europe we created residential trajectories from birth to survey enrolment with a combination of sequence and cluster analysis. Using mixed-effects models, we investigated the association between residential trajectories in early, mid, and later life and three cognitive functioning outcomes: immediate recall, delayed recall, and verbal fluency. In a sample of 38,165 participants, we found that, even after accounting for differences related to education and occupation, rural (vs. urban) residence in early life remained associated with poorer cognitive performance later in life. This suggests that growing up in rural regions leads to a long-term disadvantage in cognitive functioning. Thus, public health policies should consider that urban-rural inequalities in early life may have long-lasting associations with inequalities in cognitive health in old and very old age.
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Muscle strength performed better than muscle mass in identifying cognitive impairment risk in maintenance hemodialysis patients. Eat Weight Disord 2022; 27:2533-2540. [PMID: 35389149 DOI: 10.1007/s40519-022-01375-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 01/29/2022] [Indexed: 10/18/2022] Open
Abstract
OBJECTIVES The association between muscle mass and cognitive impairment (CI) is conflicting. We aimed to evaluate and compare the associations of muscle strength, muscle mass and CI risk in maintenance hemodialysis (MHD) patients. METHODS We conducted a multicenter, cross-sectional study. Cognitive function was assessed with the Mini-Mental State Examination (MMSE) score. Muscle strength was assessed by hand grip strength (HGS), muscle mass was assessed by lean tissue mass (LTM). Education status was divided into two groups: lower education status (senior middle school and below) and higher education status (high school and above). Multivariable logistic regression models and subgroup analyses were performed. Receiver-operating characteristic (ROC) analyses were conducted to compare their predictive power in discriminating CI. RESULTS 2827 adult MHD patients were included in our final analysis. Patients in the lowest quartile of HGS was 2.82-fold as likely to have CI as compared to those in the highest quartile, while participants in the lowest quartile of LTM group were 1.52-fold as likely to have CI, when compared with the highest quartile group of LTM after adjusting for age, gender and education level. The association persisted in all subgroups except for women and well-educated participants. There was a significant interaction between HGS and education status on CI and age played an interactive role in the association between LTM and incident CI (P for interaction < 0.05). The AUC value of the HGS was significantly higher than that of LTM (0.69 VS 0.63, P < 0.001). CONCLUSIONS Muscle strength performed better than muscle mass in identifying individuals at high risk of CI, particularly in male and less educated Chinese MHD patients. LEVEL OF EVIDENCE Level V, cross-sectional study.
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Walhovd KB, Nyberg L, Lindenberger U, Amlien IK, Sørensen Ø, Wang Y, Mowinckel AM, Kievit RA, Ebmeier KP, Bartrés-Faz D, Kühn S, Boraxbekk CJ, Ghisletta P, Madsen KS, Baaré WFC, Zsoldos E, Magnussen F, Vidal-Piñeiro D, Penninx B, Fjell AM. Brain aging differs with cognitive ability regardless of education. Sci Rep 2022; 12:13886. [PMID: 35974034 PMCID: PMC9381768 DOI: 10.1038/s41598-022-17727-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 07/29/2022] [Indexed: 11/23/2022] Open
Abstract
Higher general cognitive ability (GCA) is associated with lower risk of neurodegenerative disorders, but neural mechanisms are unknown. GCA could be associated with more cortical tissue, from young age, i.e. brain reserve, or less cortical atrophy in adulthood, i.e. brain maintenance. Controlling for education, we investigated the relative association of GCA with reserve and maintenance of cortical volume, -area and -thickness through the adult lifespan, using multiple longitudinal cognitively healthy brain imaging cohorts (n = 3327, 7002 MRI scans, baseline age 20-88 years, followed-up for up to 11 years). There were widespread positive relationships between GCA and cortical characteristics (level-level associations). In select regions, higher baseline GCA was associated with less atrophy over time (level-change associations). Relationships remained when controlling for polygenic scores for both GCA and education. Our findings suggest that higher GCA is associated with cortical volumes by both brain reserve and -maintenance mechanisms through the adult lifespan.
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Affiliation(s)
- Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Blindern, POB1094, 0317, Oslo, Norway.
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
| | - Lars Nyberg
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Blindern, POB1094, 0317, Oslo, Norway
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, UK
| | - Inge K Amlien
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Blindern, POB1094, 0317, Oslo, Norway
| | - Øystein Sørensen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Blindern, POB1094, 0317, Oslo, Norway
| | - Yunpeng Wang
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Blindern, POB1094, 0317, Oslo, Norway
| | - Athanasia M Mowinckel
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Blindern, POB1094, 0317, Oslo, Norway
| | - Rogier A Kievit
- Cognitive Neuroscience Department, Donders Institute for Brain, Cognition and Behavior, The Netherlands, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - David Bartrés-Faz
- Department of Medicine, Faculty of Medicine and Health Sciences & Institute of Neurosciences, Universitat de Barcelona, and Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Simone Kühn
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
- Clinic and Policlinic for Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Carl-Johan Boraxbekk
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
- Department of Radiation Sciences, Diagnostic Radiology, Umeå University, Umeå, Sweden
- Institute of Sports Medicine Copenhagen (ISMC) and Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
- Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Paolo Ghisletta
- Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
- UniDistance Suisse, Brig, Switzerland
- Swiss National Centre of Competence in Research LIVES, University of Geneva, Geneva, Switzerland
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
- Radiography, Department of Technology, University College Copenhagen, Copenhagen, Denmark
| | - Willliam F C Baaré
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Enikő Zsoldos
- Department of Psychiatry, University of Oxford, Oxford, UK
- Welcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Fredrik Magnussen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Blindern, POB1094, 0317, Oslo, Norway
| | - Didac Vidal-Piñeiro
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Blindern, POB1094, 0317, Oslo, Norway
| | - Brenda Penninx
- Amsterdam Neuroscience, Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Blindern, POB1094, 0317, Oslo, Norway
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
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Schrempft S, Trofimova O, Künzi M, Draganski B, Kliegel M, Stringhini S. Life-course socioeconomic conditions and cognitive performance in older adults: a cross-cohort comparison. Aging Ment Health 2022; 27:745-754. [PMID: 35848170 DOI: 10.1080/13607863.2022.2084511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
OBJECTIVES Socioeconomic disadvantage predicts the level of cognitive performance in old age, but findings have been mixed for trajectories of performance. This study examined associations between life-course socioeconomic conditions, including social mobility, and cognitive performance assessed in terms of level and change, across multiple cognitive domains in two independent cohorts of older adults. METHODS Data were from two Swiss population-based cohorts: CoLaus|PsyCoLaus (N = 1210, mean age 72 years) and Vivre/Leben/Vivere (N = 993, mean age 75 years). Verbal fluency, processing speed, cognitive flexibility, memory, and global cognitive performance were assessed at two time points, each spaced 6 years apart. Associations between socioeconomic conditions (father's occupation, parental education, own education, own occupation, household income, and social mobility) and cognitive performance were examined within each cohort, and using pooled data. Covariates included health behaviors, comorbidities, and depressive symptoms. RESULTS Across cohorts, socioeconomic disadvantage predicted a lower level of performance across different cognitive domains, including processing speed, verbal fluency, and memory. Moreover, individuals who experienced life-course socioeconomic disadvantage performed worse than those who experienced upward social mobility. Associations between socioeconomic disadvantage and cognitive decline were less consistent. CONCLUSION Life-course socioeconomic conditions predict performance level across different cognitive domains, and, to a lesser extent, performance trajectories.
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Affiliation(s)
- Stephanie Schrempft
- Division of Primary Care, Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Olga Trofimova
- Laboratory for Research in Neuroimaging LREN, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Morgane Künzi
- Swiss National Centre of Competence in Research, "LIVES - Overcoming Vulnerability: Life Course Perspectives," University of Geneva, Geneva, Switzerland.,Department of Psychology, University of Geneva, Geneva, Switzerland.,Centre for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland
| | - Bogdan Draganski
- Laboratory for Research in Neuroimaging LREN, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Neurology Department, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Matthias Kliegel
- Swiss National Centre of Competence in Research, "LIVES - Overcoming Vulnerability: Life Course Perspectives," University of Geneva, Geneva, Switzerland.,Department of Psychology, University of Geneva, Geneva, Switzerland.,Centre for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland
| | - Silvia Stringhini
- Division of Primary Care, Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.,Department of Health and Community Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,University Centre for General Medicine and Public Health, University of Lausanne, Lausanne, Switzerland
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Rosenich E, Bransby L, Yassi N, Fripp J, Laws SM, Martins RN, Fowler C, Rainey-Smith SR, Rowe CC, Masters CL, Maruff P, Lim YY. Differential Effects of APOE and Modifiable Risk Factors on Hippocampal Volume Loss and Memory Decline in Aβ- and Aβ+ Older Adults. Neurology 2022; 98:e1704-e1715. [PMID: 35169009 PMCID: PMC9071368 DOI: 10.1212/wnl.0000000000200118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 01/11/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES This prospective study sought to determine the association of modifiable/nonmodifiable components included in the Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) risk score with hippocampal volume (HV) loss and episodic memory (EM) decline in cognitively normal (CN) older adults classified as brain β-amyloid (Aβ) negative (Aβ-) or positive (Aβ+). METHODS Australian Imaging, Biomarkers and Lifestyle study participants (age 58-91 years) who completed ≥2 neuropsychological assessments and a brain Aβ PET scan (n = 592) were included in this study. We computed the CAIDE risk score (age, sex, APOE ε4 status, education, hypertension, body mass index [BMI], hypercholesterolemia, physical inactivity) and a modifiable CAIDE risk score (CAIDE-MR; education, hypertension, BMI, hypercholesterolemia, physical inactivity) for each participant. Aβ+ was classified using Centiloid >25. Linear mixed models assessed interactions between each CAIDE score, Aβ group, and time on HV loss and EM decline. Age, sex, and APOE ε4 were included as separate predictors in CAIDE-MR models to assess differential associations. Exploratory analyses examined relationships between individual modifiable risk factors and outcomes in Aβ- cognitively normal (CN) adults. RESULTS We observed a significant Aβ group × CAIDE × time interaction on HV loss (β [SE] = -0.04 [0.01]; p < 0.000) but not EM decline (β [SE] = -2.33 [9.96]; p = 0.98). Decomposition revealed a significant CAIDE × time interaction in Aβ+ participants only. When modifiable/nonmodifiable CAIDE components were considered separately, we observed a significant Aβ group × CAIDE-MR × time interaction on EM decline only (β [SE] = 3.03 [1.18]; p = 0.01). A significant CAIDE-MR score × time interaction was observed in Aβ- participants only. Significant interactions between APOE ε4 and age × time on HV loss and EM decline were observed in both groups. Exploratory analyses in Aβ- CN participants revealed a significant interaction between BMI × time on EM decline (β [SE] = -3.30 [1.43]; p = 0.02). DISCUSSION These results are consistent with studies showing that increasing age and APOE ε4 are associated with increased rates of HV loss and EM decline. In Aβ- CN adults, lower prevalence of modifiable cardiovascular risk factors was associated with less HV loss and EM decline over ∼10 years, suggesting interventions to reduce modifiable cardiovascular risk factors could be beneficial in this group.
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Affiliation(s)
- Emily Rosenich
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Lisa Bransby
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Nawaf Yassi
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Jurgen Fripp
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Simon M Laws
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Ralph N Martins
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Christopher Fowler
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Stephanie R Rainey-Smith
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Christopher C Rowe
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Colin L Masters
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Paul Maruff
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
| | - Yen Ying Lim
- From the Turner Institute for Brain and Mental Health, School of Psychological Sciences (E.R., L.B., P.M., Y.Y.L.), Monash University, Clayton; Departments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital (N.Y., C.C.R.), and Florey Institute of Neuroscience and Mental Health (C.F., C.L.M., P.M.), University of Melbourne; Population Health and Immunity Division (N.Y.), The Walter and Eliza Hall Institute of Medical Research, Parkville; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Collaborative Genomics and Translation Group, School of Medical and Health Sciences (S.M.L.), and Centre of Excellence for Alzheimer's Disease Research and Care (R.N.M.), Edith Cowan University, Joondalup; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences (S.M.L.), Curtin Health Innovation Research Institute, Curtin University, Bentley; Centre for Healthy Ageing, Health Futures Institute (S.R.R.-G.), Murdoch University; Australian Alzheimer's Research Foundation (S.R.R.-G.), Sarich Neuroscience Research Institute, Nedlands; Department of Nuclear Medicine and Centre for PET (C.C.R.), Austin Health, Heidelberg; Department of Medicine (C.C.R.), Austin Health, University of Melbourne; and Cogstate Ltd. (P.M.), Melbourne, Australia
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Glisky EL, Woolverton CB, McVeigh KS, Grilli MD. Episodic Memory and Executive Function Are Differentially Affected by Retests but Similarly Affected by Age in a Longitudinal Study of Normally-Aging Older Adults. Front Aging Neurosci 2022; 14:863942. [PMID: 35493924 PMCID: PMC9043807 DOI: 10.3389/fnagi.2022.863942] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 03/22/2022] [Indexed: 12/26/2022] Open
Abstract
Episodic memory and executive function are two cognitive domains that have been studied extensively in older adults and have been shown to decline in normally-aging older individuals. However, one of the problems with characterizing cognitive changes in longitudinal studies has been separating effects attributable to normal aging from effects created by repeated testing or practice. In the present study, 166 people aged 65 and older were enrolled over several years and tested at least 3 times at variable intervals (M = 3.2 yrs). The cognitive measures were composite scores. Each composite was made up of five neuropsychological tests, previously identified through factor analysis. For one pair of composite scores, variance attributable to age was removed from each subtest through regression analyses before z-scores were computed, creating two age-corrected composites. A second pair of composites were not age-corrected. Using linear mixed-effects models, we first explored retest effects for each cognitive domain, independent of age, using the age-corrected composites. We then modeled aging effects using the age-uncorrected composites after subtracting out retest effects. Results indicated significant retest effects for memory but not for executive function, such that memory performance improved across the three testing sessions. When these practice effects were removed from the age-uncorrected data, effects of aging were evident for both executive and memory function with significant declines over time. We also explored several individual difference variables including sex, IQ, and age at the initial testing session and across time. Although sex and IQ affected performance on both cognitive factors at the initial test, neither was related to practice effects, although young-older adults tended to benefit from practice to a greater extent than old-older adults. In addition, people with higher IQs showed slower age-related declines in memory, but no advantages in executive function. These findings suggest that (a) aging affects both memory and executive function similarly, (b) higher IQ, possibly reflecting cognitive reserve, may slow age-related declines in memory, and (c) practice through repeated testing enhances performance in memory particularly in younger-older adults, and may therefore mask aging effects if not taken into account.
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Affiliation(s)
- Elizabeth L. Glisky
- Aging and Cognition Laboratory, Department of Psychology, University of Arizona, Tucson, AZ, United States
| | - Cindy B. Woolverton
- Aging and Cognition Laboratory, Department of Psychology, University of Arizona, Tucson, AZ, United States
| | - Katelyn S. McVeigh
- Human Memory Laboratory, Department of Psychology, University of Arizona, Tucson, AZ, United States
| | - Matthew D. Grilli
- Human Memory Laboratory, Department of Psychology, University of Arizona, Tucson, AZ, United States
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58
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Vonk JMJ, Ghaznawi R, Zwartbol MHT, Stern Y, Geerlings MI. The role of cognitive and brain reserve in memory decline and atrophy rate in mid and late-life: The SMART-MR study. Cortex 2022; 148:204-214. [PMID: 35189525 PMCID: PMC11018269 DOI: 10.1016/j.cortex.2021.11.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 07/25/2021] [Accepted: 11/17/2021] [Indexed: 11/17/2022]
Abstract
OBJECTIVE Investigate associations of cognitive and brain reserve with trajectories of memory decline in mid-life and late-life, and whether the relationship of memory decline with atrophy differs as a function of reserve. METHODS Participants were 989 Dutch middle-aged to older adults from the SMART-MR prospective cohort, followed up to 12 years with up to 3 measurements of memory and brain MRI. Education and Dutch National Adult Reading Test (DART) were used as proxies of cognitive reserve, and intracranial volume (ICV) and baseline brain parenchymal fraction (BPF) for brain reserve. Univariate growth curve models analyzed associations of reserve with memory decline, and multiple-group bivariate growth curve models tested the longitudinal brain-memory relationship as a function of reserve. Models were additionally stratified by mid-life and late-life. RESULTS Higher DART, education, and BPF were related to a slower rate of memory decline, particularly in late-life, but ICV was not. A positive covariance indicated that an individual who undergoes atrophy also undergoes memory decline-this relationship did not differ across cognitive or brain reserve, but was not present in mid-life. Memory declined slower than brain volume, yet rates were more similar in the low DART, education, and BPF groups. DISCUSSION Higher cognitive (DART, education) and brain reserve (BPF) work protectively in longitudinal memory change. ICV is an inappropriate proxy of brain reserve, failing to show any association with memory performance at baseline or over time. Deconstructing relationships of reserve capacities with longitudinal cognitive and brain outcomes may identify focus areas with potential for intervention.
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Affiliation(s)
- Jet M J Vonk
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands; Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Rashid Ghaznawi
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands; Department of Radiology, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands
| | - Maarten H T Zwartbol
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands; Department of Radiology, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands
| | - Yaakov Stern
- Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Mirjam I Geerlings
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands.
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59
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Sarcopenic obesity is associated with cognitive impairment in community-dwelling older adults: The Bunkyo Health Study. Clin Nutr 2022; 41:1046-1051. [DOI: 10.1016/j.clnu.2022.03.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 02/24/2022] [Accepted: 03/10/2022] [Indexed: 01/01/2023]
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60
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Wang J, Lai Y, Jiang C, Bai Y, Xu B, Du X, Dong J, Ma C. Feasibility and Validity of Cambridge Neuropsychological Test Automated Battery in Mild Cognitive Impairment Screening for Patients with Atrial Fibrillation. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:1527292. [PMID: 35178112 PMCID: PMC8847012 DOI: 10.1155/2022/1527292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 01/06/2022] [Accepted: 01/25/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Atrial fibrillation (AF) is associated with the worsening of cognitive function. Strategies that are both convenient and reliable for cognitive screening of AF patients remain underdeveloped. We aimed to analyze the sensitivity and specificity of computerized cognitive screening strategies using subtests from Cambridge Neuropsychological Test Automated Battery (CANTAB) in AF patients. METHODS The Multitasking Test (MTT), Rapid Visual Information Processing (RVP), and Paired Associates Learning (PAL) subtests from CANTAB were performed in 105 AF patients. Traditional standard neuropsychological tests were used as a reference standard. Cognitive screening models using different CANTAB subtests were established using multivariable logistic regression. Further stepwise regression using the Akaike Information Criterion (AIC) was applied to optimize the models. Receiver operating characteristic curve analyses were used to study the sensitivity and specificity of these models. RESULTS Fifty-eight (55%) patients were diagnosed with mild cognitive impairment (MCI). MTT alone had reasonable sensitivity (82.8%) and specificity (74.5%) for MCI screening, while RVP (sensitivity 72.4%, specificity 70.2%) and PAL (sensitivity 70.7%, specificity 57.4%) were less effective. Stepwise regression of all available variables revealed that a combination of MTT and RVP brought about higher specificity (sensitivity 82.8%, specificity 85.8%), while PAL was not included in the optimal model. Moreover, adding education to the models did not result in improved validity for MCI screening. CONCLUSION The CANTAB subtests are feasible and effective strategies for MCI screening among AF patients independent of patients' education levels. Hence, they are practical for cardiologists or general practitioners.
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Affiliation(s)
- Jia Wang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Centre for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Beijing, China
| | - Yiwei Lai
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Centre for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Beijing, China
| | - Chao Jiang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Centre for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Beijing, China
| | - Yu Bai
- Faculty of Science, The University of Sydney, Sydney, Australia
| | - Baolei Xu
- Department of Neurology, Beijing Anzhen Hospital, China
| | - Xin Du
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Centre for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Beijing, China
| | - Jianzeng Dong
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Centre for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Beijing, China
| | - Changsheng Ma
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Centre for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Beijing, China
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61
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Greenfield EA, Reynolds A, Moorman SM. Life course linkages between enriching early-life activities and later life cognition: Evidence from the Wisconsin Longitudinal Study. Soc Sci Med 2022; 294:114673. [PMID: 34974386 PMCID: PMC8821159 DOI: 10.1016/j.socscimed.2021.114673] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 12/17/2021] [Accepted: 12/18/2021] [Indexed: 02/03/2023]
Abstract
Prior research suggests that participation in enriching early-life activities (EELAs) has long-term benefits for cognitive health and aging. This study aims to examine the life course processes underlying these associations by drawing on theoretical models from life course epidemiology. Specifically, we tested sensitive-period effects, social pathways, and selection effects as potential explanations for linkages between greater participation in EELAs and better later life cognition. We drew on data from the Wisconsin Longitudinal Study (WLS), which is among the longest-running cohort studies in the U.S. that has followed graduates (all identified as non-Hispanic White) from Wisconsin high schools since 1957. We used prospective measures of key variables, including information from high school yearbooks, with assessments of cognitive performance at ages 65 and 72. Results from multilevel modeling indicated that greater participation in cognitively oriented extracurricular activities (but not physically nor socially oriented activities) was associated with both better language/executive functioning and memory at age 65. Although the size of these associations was reduced when accounting for other cognitive resources in adolescence (childhood socioeconomic status and adolescent cognitive ability) and in midlife (adult socioeconomic status and formal group participation), there remained small, yet statistically robust, associations. We did not find robust associations between greater EELA engagement and slower rates of decline in cognition between ages 65 and 72, nor did we find evidence of gender differences. Results suggest that for this cohort of older adults, EELA participation is part of life course "protective chains," whereby exposures to assets at one point in the life course increase the likelihood of subsequent exposures, each sequentially and in their own right, toward better later life cognition. We discuss how results support the importance of policies and practices to promote healthy cognitive development among youth for the long-term cognitive health of a rapidly aging U.S. population.
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Affiliation(s)
- Emily A. Greenfield
- Corresponding author. Telephone number: 732-391-4986.,Rutgers, The State University of New Jersey; 390 George Street; New Brunswick, NJ 08901 U.S
| | - Addam Reynolds
- Rutgers, The State University of New Jersey; 390 George Street; New Brunswick, NJ 08901 U.S
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Keresztes A, Raffington L, Bender AR, Bögl K, Heim C, Shing YL. Longitudinal Developmental Trajectories Do Not Follow Cross-Sectional Age Associations in Hippocampal Subfield and Memory Development. Dev Cogn Neurosci 2022; 54:101085. [PMID: 35278767 PMCID: PMC8917271 DOI: 10.1016/j.dcn.2022.101085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 02/10/2022] [Accepted: 02/11/2022] [Indexed: 11/03/2022] Open
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63
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Orsholits D, Cullati S, Ghisletta P, Aartsen MJ, Oris M, Studer M, Maurer J, Perna L, Gouveia ÉR, Gouveia BR, Marques A, Peralta M, Marconcin P, Kliegel M, Ihle A. How Welfare Regimes Moderate the Associations Between Cognitive Aging, Education, and Occupation. J Gerontol B Psychol Sci Soc Sci 2022; 77:1615-1624. [PMID: 35090001 PMCID: PMC9757157 DOI: 10.1093/geronb/gbac013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Indexed: 01/30/2023] Open
Abstract
OBJECTIVES Previous studies have shown the importance of individual markers of cognitive reserve, such as education and occupation, for cognitive health in old age. However, there has been only little investigation so far on how this relationship varies across contexts. METHODS We analyzed data from the Survey of Health, Ageing, and Retirement in Europe, using second-order latent growth models, to assess the moderating role of welfare regimes on the relationship between education and occupation skill level in explaining overall cognitive functioning and decline in old age. Our sample includes 13 European countries using data from 5 regular waves of the survey (2004-2007 and 2011-2015) and 2 retrospective ones (2008-2009 and 2017). Cognitive functioning was modeled as a latent variable measured by immediate and delayed recall, verbal fluency, and numeracy. RESULTS 74,193 participants were included from the survey. Our analysis showed that the association of education with cognition was weaker overall in Scandinavian countries, but stronger in Southern European countries, relative to Bismarckian ones. However, educational differences in the decline of cognition were more pronounced only in Scandinavian compared to Bismarckian countries. Additionally, higher-skilled occupations in Scandinavian countries had better overall functioning compared to the same occupations in Bismarckian countries, but there was no difference in the decline in cognitive functioning. DISCUSSION Our findings indicate that the associations of cognitive functioning and its decline with individuals' cognitive reserve markers (education and occupational skill level) vary according to welfare regimes, showing the importance of contextual factors in cognitive aging processes.
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Affiliation(s)
- Dan Orsholits
- Address correspondence to: Dan Orsholits, PhD, Centre for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, 1205 Geneva, Switzerland. E-mail:
| | - Stéphane Cullati
- Population Health Laboratory, Department of Community Health, University of Fribourg, Fribourg, Switzerland,Department of Readaptation and Geriatrics, University of Geneva, Geneva, Switzerland
| | - Paolo Ghisletta
- Swiss National Centre of Competence in Research LIVES—Overcoming vulnerability: Life Course Perspectives, Lausanne and Geneva, Switzerland,Department of Psychology, University of Geneva, Geneva, Switzerland,UniDistance Suisse, Brig, Switzerland
| | - Marja J Aartsen
- NOVA, Norwegian Social Research, Oslo Metropolitan University, Oslo, Norway
| | - Michel Oris
- Centre for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland,Swiss National Centre of Competence in Research LIVES—Overcoming vulnerability: Life Course Perspectives, Lausanne and Geneva, Switzerland
| | - Matthias Studer
- Swiss National Centre of Competence in Research LIVES—Overcoming vulnerability: Life Course Perspectives, Lausanne and Geneva, Switzerland,Institute of Demography and Socioeconomics, University of Geneva, Geneva, Switzerland
| | - Jürgen Maurer
- Swiss National Centre of Competence in Research LIVES—Overcoming vulnerability: Life Course Perspectives, Lausanne and Geneva, Switzerland,Department of Economics, University of Lausanne, Lausanne, Switzerland
| | - Laura Perna
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany,Division of Mental Health of Older Adults, Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Élvio R Gouveia
- Centre for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland,Department of Physical Education and Sport, University of Madeira, Funchal, Portugal,LARSyS, Interactive Technologies Institute, Funchal, Portugal
| | - Bruna R Gouveia
- Centre for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland,LARSyS, Interactive Technologies Institute, Funchal, Portugal,Health Administration Institute, Secretary of Health of the Autonomous Region of Madeira, Funchal, Portugal,Saint Joseph of Cluny Higher School of Nursing, Funchal, Portugal
| | - Adilson Marques
- CIPER, Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal,ISAMB, University of Lisbon, Lisbon, Portugal
| | - Miguel Peralta
- CIPER, Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal,ISAMB, University of Lisbon, Lisbon, Portugal
| | - Priscila Marconcin
- CIPER, Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal
| | - Matthias Kliegel
- Centre for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland,Swiss National Centre of Competence in Research LIVES—Overcoming vulnerability: Life Course Perspectives, Lausanne and Geneva, Switzerland,Department of Psychology, University of Geneva, Geneva, Switzerland
| | - Andreas Ihle
- Centre for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland,Swiss National Centre of Competence in Research LIVES—Overcoming vulnerability: Life Course Perspectives, Lausanne and Geneva, Switzerland,Department of Psychology, University of Geneva, Geneva, Switzerland
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Alantie S, Tyrkkö J, Makkonen T, Renvall K. Is Old Age Just a Number in Language Skills? Language Performance and Its Relation to Age, Education, Gender, Cognitive Screening, and Dentition in Very Old Finnish Speakers. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2022; 65:274-291. [PMID: 34929110 DOI: 10.1044/2021_jslhr-21-00178] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
PURPOSE This study reports on how very old (VO) Finnish people without dementia perform in the Western Aphasia Battery (WAB) and two verbal fluency tasks and which demographic factors predict the performance. METHOD The study included fifty 80- to 100-year-old community-dwelling Finnish speakers with no dementing illnesses or speech-language disabilities, who completed the WAB and two verbal fluency tasks. Multifactorial statistical analyses with recursive partitioning were carried out to determine the significant predictors out of five predictor variables (age, gender, education, dentition, and Mini-Mental State Examination [MMSE]) for four response variables (WAB Aphasia Quotient [AQ], Language Quotient [LQ], semantic, and phonemic word fluencies). RESULTS Overall, individual variation was notable in VO speakers. All predictor variables were statistically significantly associated with one or more of the language skills. Age was the most significant predictor; the critical age of 85-86 years was associated with a decline in WAB-AQ and semantic fluency. Poor dentition and the MMSE score both predicted a decline in WAB-LQ and phonemic fluency. A high level of education was positively associated with the skills of the best-performing individuals in WAB-AQ, WAB-LQ, and semantic fluency. CONCLUSIONS VO age is a significant factor contributing to language performance. However, a younger age, a good cognitive performance, intact teeth, and a higher educational level also seem to have a preservative power as regards language skills. Gender differences should be interpreted with caution. The results of this study provide culture- and language-specific normative data, which aids in differentiating typical aging from the signs of acute or degenerative neuropathology to ensure appropriate medical and therapeutic interventions.
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Affiliation(s)
- Sonja Alantie
- Department of Psychology and Speech-Language Pathology, University of Turku, Finland
- Speech-Language Pathology, Tampere University Hospital, Finland
| | - Jukka Tyrkkö
- Department of Languages, Linnaeus University, Växjö, Sweden
| | - Tanja Makkonen
- Department of Psychology and Speech-Language Pathology, University of Turku, Finland
- Speech-Language Pathology, Tampere University Hospital, Finland
| | - Kati Renvall
- Department of Psychology and Speech-Language Pathology, University of Turku, Finland
- Department of Cognitive Science, Macquarie University, Sydney, New South Wales, Australia
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65
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Fitzgerald J, Fahey L, Holleran L, Ó Broin P, Donohoe G, Morris DW. Thirteen Independent Genetic Loci Associated with Preserved Processing Speed in a Study of Cognitive Resilience in 330,097 Individuals in the UK Biobank. Genes (Basel) 2022; 13:122. [PMID: 35052462 PMCID: PMC8774848 DOI: 10.3390/genes13010122] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 12/08/2021] [Accepted: 12/15/2021] [Indexed: 02/04/2023] Open
Abstract
Cognitive resilience is the ability to withstand the negative effects of stress on cognitive functioning and is important for maintaining quality of life while aging. The UK Biobank does not have measurements of the same cognitive phenotype at distal time points. Therefore, we used education years (EY) as a proxy phenotype for past cognitive performance and current cognitive performance was based on processing speed. This represented an average time span of 40 years between past and current cognitive performance in 330,097 individuals. A confounding factor was that EY is highly polygenic and masked the genetics of resilience. To overcome this, we employed Genomics Structural Equation Modelling (GenomicSEM) to perform a genome-wide association study (GWAS)-by-subtraction using two GWAS, one GWAS of EY and resilience and a second GWAS of EY but not resilience, to generate a GWAS of Resilience. Using independent discovery and replication samples, we found 13 independent genetic loci for Resilience. Functional analyses showed enrichment in several brain regions and specific cell types. Gene-set analyses implicated the biological process "neuron differentiation", the cellular component "synaptic part" and the "WNT signalosome". Mendelian randomisation analysis showed a causative effect of white matter volume on cognitive resilience. These results may contribute to the neurobiological understanding of resilience.
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Affiliation(s)
- Joan Fitzgerald
- Cognitive Genetics and Cognitive Therapy Group, Centre for Neuroimaging & Cognitive Genomics, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, H91 TK33 Galway, Ireland; (J.F.); (L.F.); (L.H.); (G.D.)
| | - Laura Fahey
- Cognitive Genetics and Cognitive Therapy Group, Centre for Neuroimaging & Cognitive Genomics, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, H91 TK33 Galway, Ireland; (J.F.); (L.F.); (L.H.); (G.D.)
- School of Mathematics, Statistics and Applied Mathematics, National University of Ireland Galway, H91 TK33 Galway, Ireland;
| | - Laurena Holleran
- Cognitive Genetics and Cognitive Therapy Group, Centre for Neuroimaging & Cognitive Genomics, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, H91 TK33 Galway, Ireland; (J.F.); (L.F.); (L.H.); (G.D.)
| | - Pilib Ó Broin
- School of Mathematics, Statistics and Applied Mathematics, National University of Ireland Galway, H91 TK33 Galway, Ireland;
| | - Gary Donohoe
- Cognitive Genetics and Cognitive Therapy Group, Centre for Neuroimaging & Cognitive Genomics, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, H91 TK33 Galway, Ireland; (J.F.); (L.F.); (L.H.); (G.D.)
| | - Derek W. Morris
- Cognitive Genetics and Cognitive Therapy Group, Centre for Neuroimaging & Cognitive Genomics, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, H91 TK33 Galway, Ireland; (J.F.); (L.F.); (L.H.); (G.D.)
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Liu G, Zhang X, Huo X, Li W. Prevalence, Influencing Factors, and Clinical Characteristics of Cognitive Impairment in Elderly Patients With Schizophrenia. Front Psychiatry 2022; 13:910814. [PMID: 35733805 PMCID: PMC9207234 DOI: 10.3389/fpsyt.2022.910814] [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: 04/01/2022] [Accepted: 05/17/2022] [Indexed: 11/22/2022] Open
Abstract
AIMS The purpose of this study was to investigate the prevalence, influencing factors, and clinical characteristics of cognitive impairment in elderly patients with chronic schizophrenia. MATERIALS AND METHODS A total of 264 elderly patients with chronic schizophrenia and 156 normal controls were enrolled in the current study. The Mini-mental State Examination (MMSE) was used to assess their overall cognitive function, the Positive And Negative Syndrome Scale (PANSS) was used to assess their psychotic symptoms, the Geriatric Depression Scale (GDS) was used to assess their depressive symptoms, while Activity of Daily Living Scale (ADL) was used to assess their daily living ability. RESULTS The prevalence of cognitive impairment was 77.7% (205/264) in elderly patients with chronic schizophrenia, which was much higher than that [16.7% (26/156)] in normal controls. By using stepwise binary regression analysis, we found that hobbies (p < 0.001, OR = 0.224, 95% CI: 0.114-0.441) might be a protective factor for cognitive impairment, and this relationship remained statistically significant after adjusting for total scores of GDS, ADL and PANSS (model b ) (p = 0.016, OR = 0.406, 95% CI: 0.195-0.847). Compared with individuals without cognitive impairment, individuals with cognitive impairment tend to have more depression and psychiatric symptoms as well as worse activities of daily living (p < 0.05). Through linear regression analysis of the mediating model, we found that hobbies may improve cognitive function by improving psychiatric symptoms, and play a partial mediating role (B = -4.789, p < 0.001). CONCLUSION Cognitive impairment is a very prominent problem in elderly patients with chronic schizophrenia. Elderly schizophrenia patients with cognitive impairment tended to have more depressive mood, more psychotic symptoms and worse activities of daily living. Hobbies will help prevent cognitive impairment in elderly patients with schizophrenia and may improve their cognitive function by influencing psychiatric symptoms. Therefore, we should encourage elderly patients with chronic schizophrenia to develop their own hobbies. However, the above conclusion still need to be further verified, as we cannot exclude the effects of age and education.
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Affiliation(s)
- Guojun Liu
- Department of Rehabilitation Medicine, Third People's Hospital of Lanzhou, Lanzhou, China
| | - Xiaoying Zhang
- Department of Rehabilitation Medicine, Third People's Hospital of Lanzhou, Lanzhou, China
| | - Xiaoning Huo
- Department of Rehabilitation Medicine, Third People's Hospital of Lanzhou, Lanzhou, China
| | - Wei Li
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
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67
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Cutuli D, Landolfo E, Petrosini L, Gelfo F. Environmental Enrichment Effects on the Brain-Derived Neurotrophic Factor Expression in Healthy Condition, Alzheimer's Disease, and Other Neurodegenerative Disorders. J Alzheimers Dis 2021; 85:975-992. [PMID: 34897089 DOI: 10.3233/jad-215193] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Brain-derived neurotrophic factor (BDNF), a protein belonging to the neurotrophin family, is known to be heavily involved in synaptic plasticity processes that support brain development, post-lesion regeneration, and cognitive performances, such as learning and memory. Evidence indicates that BDNF expression can be epigenetically regulated by environmental stimuli and thus can mediate the experience-dependent brain plasticity. Environmental enrichment (EE), an experimental paradigm based on the exposure to complex stimulations, constitutes an efficient means to investigate the effects of high-level experience on behavior, cognitive processes, and neurobiological correlates, as the BDNF expression. In fact, BDNF exerts a key role in mediating and promoting EE-induced plastic changes and functional improvements in healthy and pathological conditions. This review is specifically aimed at providing an updated framework of the available evidence on the EE effects on brain and serum BDNF levels, by taking into account both changes in protein expression and regulation of gene expression. A further purpose of the present review is analyzing the potential of BDNF regulation in coping with neurodegenerative processes characterizing Alzheimer's disease (AD), given BDNF expression alterations are described in AD patients. Moreover, attention is also paid to EE effects on BDNF expression in other neurodegenerative disease. To investigate such a topic, evidence provided by experimental studies is considered. A deeper understanding of environmental ability in modulating BDNF expression in the brain may be fundamental in designing more tuned and effective applications of complex environmental stimulations as managing approaches to AD.
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Affiliation(s)
- Debora Cutuli
- IRCCS Fondazione Santa Lucia, Rome, Italy.,Department of Psychology, University Sapienza of Rome, Rome, Italy
| | - Eugenia Landolfo
- IRCCS Fondazione Santa Lucia, Rome, Italy.,Department of Psychology, University Sapienza of Rome, Rome, Italy
| | | | - Francesca Gelfo
- IRCCS Fondazione Santa Lucia, Rome, Italy.,Department of Human Sciences, Guglielmo Marconi University, Rome, Italy
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68
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Roy JC, Houvenaghel JF, Duprez J, Guillery M, Drapier D, Robert G. Dynamics of cognitive action control in late-life depression during action selection. J Psychiatr Res 2021; 143:276-284. [PMID: 34530338 DOI: 10.1016/j.jpsychires.2021.09.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 08/28/2021] [Accepted: 09/01/2021] [Indexed: 10/20/2022]
Abstract
INTRODUCTION Late-Life Depression (LLD) is characterized by deficits in cognitive control. We investigated the effect of LLD on a subset of cognitive control functions, the Cognitive Action Control (CAC), distinguishing on-line and adaptive control. METHODS We compared LLD subjects (n = 31) and Healthy Controls (HC, n = 31) on their performance in a Simon task. The online congruency effect and adaptive effect were compared for reaction times (RT) and accuracy rates between the groups using mixed models. We applied distributional analyses of RT to differentiate the strength of impulsive action selection and the proficiency of selective action suppression. Finally, we measured correlations between the performances on the task and clinical scores of the LLD group. RESULTS LLD had increased error rates in congruent trials compared to HC. Conversely, the adaptive CAC was equivalent between the groups. Distributional analyses showed that the fastest actions were less led by pertinent information in LLD. This phenomenon was found exclusively for congruent trials preceded by non-congruent trials. On the other hand, LLD patients, when they take time, were better than HC to suppress selectively non-relevant information. No difference was observed for adaptation to the preceding condition. No association between behavioral measurements and clinical scores were found. CONCLUSION Our results suggest that LLD participants have a specific cognitive disturbance of CAC, showing less facilitation than HC in congruent situations. We propose that this originates in a difficulty in LLD patients in disengaging their attention from conflict situations, which is consistent with a biased CAC to aversive stimuli in depression.
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Affiliation(s)
- Jean-Charles Roy
- Academic Psychiatry Department, Centre Hospitalier Guillaume Régnier, Rennes, France; Université Rennes 1, Campus Santé de Villejean, France.
| | - Jean-François Houvenaghel
- Neurology Department, Rennes University Hospital, Rennes, France; Behavior and Basal Ganglia Research Unit (EA4712), Université Rennes 1, Rennes, France
| | - Joan Duprez
- Univ Rennes, INSERM, LTSI -U1099, F-35000 Rennes, France
| | - Murielle Guillery
- Academic Psychiatry Department, Centre Hospitalier Guillaume Régnier, Rennes, France; Behavior and Basal Ganglia Research Unit (EA4712), Université Rennes 1, Rennes, France
| | - Dominique Drapier
- Academic Psychiatry Department, Centre Hospitalier Guillaume Régnier, Rennes, France; Université Rennes 1, Campus Santé de Villejean, France; Behavior and Basal Ganglia Research Unit (EA4712), Université Rennes 1, Rennes, France
| | - Gabriel Robert
- Academic Psychiatry Department, Centre Hospitalier Guillaume Régnier, Rennes, France; Université Rennes 1, Campus Santé de Villejean, France; Behavior and Basal Ganglia Research Unit (EA4712), Université Rennes 1, Rennes, France
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Sörman DE, Stenling A, Sundström A, Rönnlund M, Vega-Mendoza M, Hansson P, Ljungberg JK. Occupational cognitive complexity and episodic memory in old age. INTELLIGENCE 2021. [DOI: 10.1016/j.intell.2021.101598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Gallo F, Kalpouzos G, Laukka EJ, Wang R, Qiu C, Bäckman L, Marseglia A, Fratiglioni L, Dekhtyar S. Cognitive Trajectories and Dementia Risk: A Comparison of Two Cognitive Reserve Measures. Front Aging Neurosci 2021; 13:737736. [PMID: 34512313 PMCID: PMC8424183 DOI: 10.3389/fnagi.2021.737736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 07/26/2021] [Indexed: 11/13/2022] Open
Abstract
Background and Objectives Cognitive reserve (CR) is meant to account for the mismatch between brain damage and cognitive decline or dementia. Generally, CR has been operationalized using proxy variables indicating exposure to enriching activities (activity-based CR). An alternative approach defines CR as residual variance in cognition, not explained by the brain status (residual-based CR). The aim of this study is to compare activity-based and residual-based CR measures in their association with cognitive trajectories and dementia. Furthermore, we seek to examine if the two measures modify the impact of brain integrity on cognitive trajectories and if they predict dementia incidence independent of brain status. Methods We used data on 430 older adults aged 60+ from the Swedish National Study on Aging and Care in Kungsholmen, followed for 12 years. Residual-based reserve was computed from a regression predicting episodic memory with a brain-integrity index incorporating six structural neuroimaging markers (white-matter hyperintensities volume, whole-brain gray matter volume, hippocampal volume, lateral ventricular volume, lacunes, and perivascular spaces), age, and sex. Activity-based reserve incorporated education, work complexity, social network, and leisure activities. Cognition was assessed with a composite of perceptual speed, semantic memory, letter-, and category fluency. Dementia was clinically diagnosed in accordance with DSM-IV criteria. Linear mixed models were used for cognitive change analyses. Interactions tested if reserve measures modified the association between brain-integrity and cognitive change. Cox proportional hazard models, adjusted for brain-integrity index, assessed dementia risk. Results Both reserve measures were associated with cognitive trajectories [β × time (top tertile, ref.: bottom tertile) = 0.013; 95% CI: –0.126, –0.004 (residual-based) and 0.011; 95% CI: –0.001, 0.024, (activity-based)]. Residual-based, but not activity-based reserve mitigated the impact of brain integrity on cognitive decline [β (top tertile × time × brain integrity) = –0.021; 95% CI: –0.043, 0.001] and predicted 12-year dementia incidence, after accounting for the brain-integrity status [HR (top tertile) = 0.23; 95% CI: 0.09, 0.58]. Interpretation The operationalization of reserve based on residual cognitive performance may represent a more direct measure of CR than an activity-based approach. Ultimately, the two models of CR serve largely different aims. Accounting for brain integrity is essential in any model of reserve.
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Affiliation(s)
- Federico Gallo
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Centre for Cognition and Decision Making, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia.,Centre for Neurolinguistics and Psycholinguistics, Vita-Salute San Raffaele University, Milan, Italy
| | - Grégoria Kalpouzos
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Erika J Laukka
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Rui Wang
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,The Swedish School of Sport and Health Sciences, GIH, Stockholm, Sweden.,Department of Medicine and Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Chengxuan Qiu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Lars Bäckman
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Anna Marseglia
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Serhiy Dekhtyar
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
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Moorman SM, Greenfield EA, Carr K. Using Mixture Modeling to Construct Subgroups of Cognitive Aging in the Wisconsin Longitudinal Study. J Gerontol B Psychol Sci Soc Sci 2021; 76:1512-1522. [PMID: 33152080 DOI: 10.1093/geronb/gbaa191] [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: 06/04/2020] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES Longitudinal surveys of older adults increasingly incorporate assessments of cognitive performance. However, very few studies have used mixture modeling techniques to describe cognitive aging, identifying subgroups of people who display similar patterns of performance across discrete cognitive functions. We employ this approach to advance empirical evidence concerning interindividual variability and intraindividual change in patterns of cognitive aging. METHOD We drew upon data from 3,713 participants in the Wisconsin Longitudinal Study (WLS). We used latent class analysis to generate subgroups of cognitive aging based on assessments of verbal fluency and episodic memory at ages 65 and 72. We also employed latent transition analysis to identify how individual participants moved between subgroups over the 7-year period. RESULTS There were 4 subgroups at each point in time. Approximately 3 quarters of the sample demonstrated continuity in the qualitative type of profile between ages 65 and 72, with 17.9% of the sample in a profile with sustained overall low performance at both ages 65 and 72. An additional 18.7% of participants made subgroup transitions indicating marked decline in episodic memory. DISCUSSION Results demonstrate the utility of using mixture modeling to identify qualitatively and quantitatively distinct subgroups of cognitive aging among older adults. We discuss the implications of these results for the continued use of population health data to advance research on cognitive aging.
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Affiliation(s)
| | | | - Kyle Carr
- Boston College, Chestnut Hill, Massachusetts
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72
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Jansen MG, Geerligs L, Claassen JAHR, Overdorp EJ, Brazil IA, Kessels RPC, Oosterman JM. Positive Effects of Education on Cognitive Functioning Depend on Clinical Status and Neuropathological Severity. Front Hum Neurosci 2021; 15:723728. [PMID: 34566608 PMCID: PMC8459869 DOI: 10.3389/fnhum.2021.723728] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 08/06/2021] [Indexed: 11/24/2022] Open
Abstract
Background: Variability in cognitive functions in healthy and pathological aging is often explained by educational attainment. However, it remains unclear to which extent different disease states alter protective effects of education. We aimed to investigate whether protective effects of education on cognition depend on (1) clinical diagnosis severity, and (2) the neuropathological burden within a diagnosis in a memory clinic setting. Methods: In this cross-sectional study, we included 108 patients with subjective cognitive decline [SCD, median age 71, IQR (66-78), 43% men], 190 with mild cognitive impairment [MCI, median age 78, IQR (73-82), 44% men], and 245 with Alzheimer's disease dementia (AD) [median age 80, IQR (76-84), 35% men]. We combined visual ratings of hippocampal atrophy, global atrophy, and white matter hyperintensities on MRI into a single neuropathology score. To investigate whether the contribution of education to cognitive performance differed across SCD, MCI, and AD, we employed several multiple linear regression models, stratified by diagnosis and adjusted for age, sex, and neurodegeneration. We re-ran each model with an additional interaction term to investigate whether these effects were influenced by neuropathological burden for each diagnostic group separately. False discovery rate (FDR) corrections for multiple comparisons were applied. Results: We observed significant positive associations between education and performance for global cognition and executive functions (all adjusted p-values < 0.05). As diagnosis became more severe, however, the strength of these associations decreased (all adjusted p-values < 0.05). Education related to episodic memory only at relatively lower levels of neuropathology in SCD (β = -0.23, uncorrected p = 0.02), whereas education related to episodic memory in those with higher levels of neuropathology in MCI (β = 0.15, uncorrected p = 0.04). However, these interaction effects did not survive FDR-corrections. Conclusions: Altogether, our results demonstrated that positive effects of education on cognitive functioning reduce with diagnosis severity, but the role of neuropathological burden within a particular diagnosis was small and warrants further investigation. Future studies may further unravel the extent to which different dimensions of an individual's disease severity contribute to the waxing and waning of protective effects in cognitive aging.
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Affiliation(s)
- Michelle G. Jansen
- Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, Netherlands
| | - Linda Geerligs
- Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, Netherlands
| | - Jurgen A. H. R. Claassen
- Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, Netherlands
- Department of Geriatric Medicine, Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen, Netherlands
| | | | - Inti A. Brazil
- Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, Netherlands
| | - Roy P. C. Kessels
- Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, Netherlands
- Department of Medical Psychology, Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen, Netherlands
- Vincent van Gogh Institute for Psychiatry, Venray, Netherlands
| | - Joukje M. Oosterman
- Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, Netherlands
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Bindoff AD, Summers MJ, Hill E, Alty J, Vickers JC. Studying at university in later life slows cognitive decline: A long-term prospective study. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2021; 7:e12207. [PMID: 34522765 PMCID: PMC8424760 DOI: 10.1002/trc2.12207] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 06/07/2021] [Accepted: 07/28/2021] [Indexed: 01/26/2023]
Abstract
INTRODUCTION Declining cognition in later life is associated with loss of independence and quality of life. This decline in cognition may potentially be reduced or reversed through engaging in cognitively stimulating activities. This study examined the potential for university attendance in later life to enhance cognitive function in older adults. METHODS Cognitively unimpaired adults (n = 485, 69% female, median age 60 years) were given the opportunity to undertake free university study. Repeated neurocognitive assessment was performed over 7 years. RESULTS Participants in the university education group (n = 383) improved z = .02 SD (.01, .03) per year of the study compared to controls (P = .001; averaged across a battery of cognitive tests). The largest improvements were observed on tests of language and verbal learning, memory, and episodic memory. DISCUSSION Later-life university study was associated with improved cognitive trajectories. Later-life education may preserve cognitive function, specifically for functions associated with communication, social interaction, and maintaining independence.
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Affiliation(s)
- Aidan D. Bindoff
- Wicking Dementia Research & Education CentreCollege of Health and MedicineUniversity of TasmaniaHobartTasmaniaAustralia
| | - Mathew J. Summers
- School of Health and Behavioural SciencesUniversity of the Sunshine CoastSippy DownsQueenslandAustralia
| | - Edward Hill
- Wicking Dementia Research & Education CentreCollege of Health and MedicineUniversity of TasmaniaHobartTasmaniaAustralia
| | - Jane Alty
- Wicking Dementia Research & Education CentreCollege of Health and MedicineUniversity of TasmaniaHobartTasmaniaAustralia
| | - James C. Vickers
- Wicking Dementia Research & Education CentreCollege of Health and MedicineUniversity of TasmaniaHobartTasmaniaAustralia
- School of MedicineCollege of Health and MedicineUniversity of TasmaniaHobartTasmaniaAustralia
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Kucera M, Wolfova K, Cermakova P. Association Between Season of Birth and Cognitive Aging in Older Adults: Pan-European Population-Based Study on 70,000 Individuals. J Alzheimers Dis 2021; 82:1703-1713. [PMID: 34219722 DOI: 10.3233/jad-210289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Several early-life factors have been associated with higher risk of developing dementia. It is unclear whether season of birth (SOB) can affect cognitive aging in older adults or not. OBJECTIVE We aimed to study the association of SOB with the level of cognitive performance as well as with the rate of cognitive decline. METHODS We studied 70,203 individuals who participated in the Survey of Health, Aging and Retirement in Europe. Cognition was measured with tests on verbal fluency and immediate and delayed recall. We assessed the association of SOB with the level of cognitive performance using multiple linear regression and with the rate of cognitive decline using linear mixed-effects models. RESULTS When compared to individuals born in winter and adjusted for sociodemographic and health-related characteristics, being born in summer was associated with a higher level of delayed recall (B 0.05; 95%CI 0.01 to 0.09) and verbal fluency (B 0.15; 95%CI 0.00 to 0.29) and being born in fall with a higher level of immediate recall (B 0.04; 95%CI 0.01 to 0.08) and verbal fluency (B 0.15; 95%CI 0.01 to 0.29). Individuals born in summer had a higher yearly decline in delayed recall (B -0.005; 95%CI -0.009 to 0.000), while the scores in delayed recall in participants born in spring showed an inverse trend (B 0.005; 95%CI 0.000 to 0.010). CONCLUSION Individuals born in winter seem to carry a life-long disadvantage in a lower level of cognitive performance; however, being born in winter does not seem to affect the rate of cognitive decline.
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Affiliation(s)
- Matej Kucera
- Third Faculty of Medicine, Charles University, Prague, Czech Republic.,National Institute of Mental Health, Klecany, Czech Republic.,Second Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Katrin Wolfova
- Third Faculty of Medicine, Charles University, Prague, Czech Republic.,National Institute of Mental Health, Klecany, Czech Republic.,Second Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Pavla Cermakova
- Third Faculty of Medicine, Charles University, Prague, Czech Republic.,National Institute of Mental Health, Klecany, Czech Republic.,Second Faculty of Medicine, Charles University, Prague, Czech Republic
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Harrsen K, Christensen K, Lund R, Mortensen EL. Educational attainment and trajectories of cognitive decline during four decades-The Glostrup 1914 cohort. PLoS One 2021; 16:e0255449. [PMID: 34339478 PMCID: PMC8328320 DOI: 10.1371/journal.pone.0255449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 07/18/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The potential association between level of education and age-related cognitive decline remains an open question, partly because of a lack of studies including large subsamples with low education and follow-up intervals covering a substantial part of the adult lifespan. OBJECTIVES To examine cognitive decline assessed by a comprehensive clinical test of intelligence over a 35-year period of follow-up from ages 50 to 85 and to analyze the effect of education on trajectories of cognitive decline, including the effects of selective attrition. METHODS A longitudinal cohort study with a 35-year follow-up of community dwelling members of the Glostrup 1914 cohort. The study sample comprised 697 men and women at the 50-year baseline assessment and additional participants recruited at later follow-ups. Verbal, Performance, and Full Scale IQs were assessed using the Wechsler Adult Intelligence Scale at ages 50, 60, 70, 80, and 85. To be able to track cognitive changes between successive WAIS assessments, all IQs were based on the Danish 50-year norms. Information on school education was self-reported. The association between education and cognitive decline over time was examined in growth curve models. Selective attrition was investigated in subsamples of participants who dropped out at early or later follow-ups. RESULTS The trajectories for Verbal, Performance, and Full Scale IQ showed higher initial cognitive performance, but also revealed steeper decline among participants with a formal school exam compared to participants without a formal exam. Verbal IQ showed the largest difference in level between the two educational groups, whereas the interaction between education and age was stronger for Performance IQ than for Verbal IQ. In spite of the difference in trajectories, higher mean IQ was observed among participants with a formal school exam compared to those without across all ages, including the 85-year follow-up. Further analyses revealed that early dropout was associated with steeper decline, but that this effect was unrelated to education. CONCLUSION Comprehensive cognitive assessment over a 35-year period suggests that higher education is associated with steeper decline in IQ, but also higher mean IQ at all follow-ups. These findings are unlikely to reflect regression towards the mean, other characteristics of the employed test battery or associations between educational level and study dropout.
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Affiliation(s)
- Kristine Harrsen
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Danish Aging Research Center, Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - Kaare Christensen
- Danish Aging Research Center, Institute of Public Health, University of Southern Denmark, Odense, Denmark
- Department of Clinical Genetics and Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - Rikke Lund
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Erik Lykke Mortensen
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Danish Aging Research Center, Institute of Public Health, University of Southern Denmark, Odense, Denmark
- Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
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Wagg E, Blyth FM, Cumming RG, Khalatbari-Soltani S. Socioeconomic position and healthy ageing: A systematic review of cross-sectional and longitudinal studies. Ageing Res Rev 2021; 69:101365. [PMID: 34004378 DOI: 10.1016/j.arr.2021.101365] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 03/25/2021] [Accepted: 05/13/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND The association between socioeconomic position (SEP) and health is well-established. However, the association between SEP and healthy ageing as a multidimensional construct is unclear. METHODS We conducted a systematic review of peer-reviewed cross-sectional and longitudinal studies on the associations between SEP and multidimensional healthy ageing measures. Studies were identified from a systematic search across major electronic databases from inception to February 2021. RESULTS Fourthy-five articles met inclusion criteria (26 cross-sectional and 19 longitudinal studies). There was no consistency in method of operationalizing healthy ageing across studies, domains included in the healthy ageing measures, or in the definition and number of levels of SEP indicators. Overall, regardless of heterogeneity between studies, a positive association between educational level (85.0 % of studies) and income/wealth (81.4 % of studies) and healthy ageing was evident. Regarding occupational position, evidence from 11 studies was inconclusive. The number of studies including home ownership, parenteral SEP, or composite SEP scores was insufficient to be able to draw a conclusion. CONCLUSIONS There is evidence that socioeconomic inequalities, as assessed by educational level and income/wealth, are associated with healthy ageing. These findings, and the broader evidence base on SEP and healthy ageing, highlight the importance of addressing inequality through integrated health and social policies and strategies.
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Affiliation(s)
- Emma Wagg
- The University of Sydney School of Public Health, Faculty of Medicine and Health, New South Wales, Australia
| | - Fiona M Blyth
- The University of Sydney School of Public Health, Faculty of Medicine and Health, New South Wales, Australia; ARC Centre of Excellence in Population Ageing Research (CEPAR), University of Sydney, Sydney, Australia
| | - Robert G Cumming
- The University of Sydney School of Public Health, Faculty of Medicine and Health, New South Wales, Australia; ARC Centre of Excellence in Population Ageing Research (CEPAR), University of Sydney, Sydney, Australia
| | - Saman Khalatbari-Soltani
- The University of Sydney School of Public Health, Faculty of Medicine and Health, New South Wales, Australia; ARC Centre of Excellence in Population Ageing Research (CEPAR), University of Sydney, Sydney, Australia.
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Chen Y, Cui P, Pan Y, Li Y. Use of the Dementia Assessment Sheet for Community-based Integrated Care System 21 items among Chinese community-dwelling older adults. Geriatr Gerontol Int 2021; 21:705-711. [PMID: 34164889 DOI: 10.1111/ggi.14215] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 05/18/2021] [Accepted: 05/27/2021] [Indexed: 12/01/2022]
Abstract
AIM The objective of this study was to verify the reliability and validity of the Dementia Assessment Sheet for Community-based Integrated Care System 21 items (DASC-21) among Chinese community-dwelling older adults, and to explore the related factors for dementia screening. METHODS The study adopted a cross-sectional design, and a total of 1152 participants aged ≥60 years were recruited from 26 locations in China. All data were collected using questionnaires through face-to-face interviews. The logistic regression model was used to evaluate the effect factors of DASC-21 for dementia screening. The receiver operating characteristic curves were used to determine the optimal cut-off points and the accuracy of the DASC-21 for dementia and mild cognitive impairment screening. RESULTS For test-retest reliability, the Pearson correlation coefficient was 0.873 (P < 0.001). In the criterion-related validity, the DASC-21 scores were significantly and negatively correlated with the Mini-Mental State Examination (r = -0.663, P < 0.001) and the Montreal Cognitive Assessment (r = -0.565, P < 0.001) scores. The results of the receiver operating characteristic analysis showed that there were different optimal cut-off values for different age groups. The areas under the receiver operating characteristic curves were 95.6% and 90.3% for dementia and mild cognitive impairment screening using DASC-21 after considering related effect factors. CONCLUSIONS The DASC-21 was confirmed to be a valid and reliable instrument for dementia screening among Chinese community-dwelling older adults. Our results suggested that the age, education level and 2-week prevalence were important effect factors for dementia screening using the DASC-21. Geriatr Gerontol Int 2021; 21: 705-711.
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Affiliation(s)
- Yuan Chen
- Department of Social Medicine, School of Public Health, Zhejiang University, Hangzhou, China
| | - PingYu Cui
- Department of Social Medicine, School of Public Health, Zhejiang University, Hangzhou, China
| | - YiYang Pan
- Department of Social Medicine, School of Public Health, Zhejiang University, Hangzhou, China
| | - Ying Li
- Department of Social Medicine, School of Public Health, Zhejiang University, Hangzhou, China
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Leist AK, Bar-Haim E, Chauvel L. Inequality of educational opportunity at time of schooling predicts cognitive functioning in later adulthood. SSM Popul Health 2021; 15:100837. [PMID: 34150980 PMCID: PMC8193135 DOI: 10.1016/j.ssmph.2021.100837] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 05/19/2021] [Accepted: 06/01/2021] [Indexed: 11/18/2022] Open
Abstract
Objectives Our understanding of how societal conditions and educational policies influence cognitive development across the life course is improving. We tested the extent to which inequality of educational opportunity (IEO), the country- and cohort-specific correlation of parents' and their offspring's length of schooling, offers systematically different opportunities to contribute to cognitive development, which in turn influences cognitive abilities up to older ages. Methods A total of 46,972 individuals of three cohorts born 1940-63 from 16 European countries and Israel provided up to six cognitive assessments and information on covariates in the SHARE survey 2004-2017. Individual-level data were linked to indicators of IEO at time of schooling, and economic, health, and human development, provided by World Bank, WHO, and the UN. Results In multilevel (mixed-effects) models with random individual and country-cohort effects and adjusted for a large set of confounders, higher IEO was associated with lower levels of cognitive functioning in men and women. Interaction analyses suggested lower cognitive levels particularly of women who were schooled in higher IEO contexts and had lower educational attainment. Associations with rate of change in cognitive functioning were present only in women, however there was little clinically relevant cognitive decline across the window of observation. Result patterns were mostly consistent after including additional contextual indicators, and in a subsample with childhood information. Discussion Findings suggest that IEO is able to substantially influence cognitive development with long-lasting impacts. Lower-educated women of the cohorts under investigation may have been particularly vulnerable to high-inequality educational contexts.
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Affiliation(s)
- Anja K. Leist
- University of Luxembourg, Department of Social Sciences, Institute for Research on Socio-Economic Inequality (IRSEI), Esch-sur-Alzette, Luxembourg
- Corresponding author. University of Luxembourg, Department of Social Sciences, Institute for Research on Socio-Economic Inequality, Campus Belval, 11, Porte des Sciences, L-4366 Esch-sur-Alzette, Luxembourg.
| | - Eyal Bar-Haim
- Ben-Gurion University of the Negev, Department of Education, Beersheba, Israel
| | - Louis Chauvel
- University of Luxembourg, Department of Social Sciences, Institute for Research on Socio-Economic Inequality (IRSEI), Esch-sur-Alzette, Luxembourg
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Feinkohl I, Kozma P, Borchers F, van Montfort SJT, Kruppa J, Winterer G, Spies C, Pischon T. Contribution of IQ in young adulthood to the associations of education and occupation with cognitive ability in older age. BMC Geriatr 2021; 21:346. [PMID: 34090365 PMCID: PMC8180039 DOI: 10.1186/s12877-021-02290-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 05/17/2021] [Indexed: 11/25/2022] Open
Abstract
Background Studies suggest that a higher education and occupation are each associated with a higher late-life cognitive ability, but their inter-relationships in their association with cognitive ability and the contribution of peak IQ in young adulthood (‘pre-morbid IQ’) often remain unclear. Methods Cross-sectional analysis of 623 participants aged ≥65 years of the BioCog study. Education was coded according to the International Standard Classification of Education (ISCED; range 1 to 6). Occupation was coded as ‘semi/unskilled’, ‘skilled manual’, ‘skilled non-manual’, ‘managerial’, ‘professional’. A summary score of global ability (‘g’) was constructed from six cognitive tests. Pre-morbid IQ was estimated from vocabulary. The Geriatric Depression Scale assessed symptoms of depression. Age- and sex-adjusted analyses of covariance were performed. Results Education (partial eta2 0.076; p < 0.001) and occupation (partial eta2 = 0.037; p < 0.001) were each significantly associated with g. For education, the association was attenuated but remained statistically significant when pre-morbid IQ was controlled for (partial eta2 0.036; p < 0.001) and was unchanged with additional adjustment for depression (partial eta2 0.037; p < 0.001). For occupation, the association with g was no longer significant when pre-morbid IQ (partial eta2 = 0.015; p = 0.06) and depression (partial eta2 = 0.011; p = 0.18) were entered as covariates in separate steps. When education and occupation were entered concurrently into the fully adjusted model, only education was independently associated with g (partial eta2 0.030; p < 0.001; occupation, p = 0.93). Conclusion While a higher education and a higher occupation were each associated with a higher late-life cognitive ability, only for education some unique contribution to cognitive ability remained over and above its relationship with pre-morbid IQ, depression, and occupation. Further research is needed to address whether a longer time spent in education may promote late-life cognitive ability. Supplementary Information The online version contains supplementary material available at 10.1186/s12877-021-02290-y.
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Affiliation(s)
- Insa Feinkohl
- Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Robert-Rössle Str. 10, 13092, Berlin, Germany.
| | - Petra Kozma
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Friedrich Borchers
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | | | - Jochen Kruppa
- Berlin Institute of Health (BIH) at Charité - Universitätsmedizin Berlin, Berlin, Germany.,Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Georg Winterer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Claudia Spies
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Tobias Pischon
- Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Robert-Rössle Str. 10, 13092, Berlin, Germany.,Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Biobank Technology Platform, Berlin, Germany.,Berlin Institute of Health (BIH) at Charité - Universitätsmedizin Berlin, Core Facility Biobank, Berlin, Germany
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Petersen JD, Wehberg S, Packness A, Svensson NH, Hyldig N, Raunsgaard S, Andersen MK, Ryg J, Mercer SW, Søndergaard J, Waldorff FB. Association of Socioeconomic Status With Dementia Diagnosis Among Older Adults in Denmark. JAMA Netw Open 2021; 4:e2110432. [PMID: 34003271 PMCID: PMC8132141 DOI: 10.1001/jamanetworkopen.2021.10432] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
IMPORTANCE Low socioeconomic status (SES) has been identified as a risk factor for the development of dementia. However, few studies have focused on the association between SES and dementia diagnostic evaluation on a population level. OBJECTIVE To investigate whether household income (HHI) is associated with dementia diagnosis and cognitive severity at the time of diagnosis. DESIGN, SETTING, AND PARTICIPANTS This population- and register-based cross-sectional study analyzed health, social, and economic data obtained from various Danish national registers. The study population comprised individuals who received a first-time referral for a diagnostic evaluation for dementia to the secondary health care sector of Denmark between January 1, 2017, and December 17, 2018. Dementia-related health data were retrieved from the Danish Quality Database for Dementia. Data analysis was conducted from October 2019 to December 2020. EXPOSURES Annual HHI (used as a proxy for SES) for 2015 and 2016 was obtained from Statistics Denmark and categorized into upper, middle, and lower tertiles within 5-year interval age groups. MAIN OUTCOMES AND MEASURES Dementia diagnoses (Alzheimer disease, vascular dementia, mixed dementia, dementia with Lewy bodies, Parkinson disease dementia, or other) and cognitive stages at diagnosis (cognitively intact; mild cognitive impairment but not dementia; or mild, moderate, or severe dementia) were retrieved from the database. Univariable and multivariable logistic and linear regressions adjusted for age group, sex, region of residence, household type, period (2017 and 2018), medication type, and medical conditions were analyzed for a possible association between HHI and receipt of dementia diagnosis. RESULTS Among the 10 191 individuals (mean [SD] age, 75 [10] years; 5476 women [53.7%]) included in the study, 8844 (86.8%) were diagnosed with dementia. Individuals with HHI in the upper tertile compared with those with lower-tertile HHI were less likely to receive a dementia diagnosis after referral (odds ratio, 0.65; 95% CI, 0.55-0.78) and, if diagnosed with dementia, had less severe cognitive stage (β, -0.16; 95% CI, -0.21 to -0.10). Individuals with middle-tertile HHI did not significantly differ from those with lower-tertile HHI in terms of dementia diagnosis (odds ratio, 0.92; 95% CI, 0.77-1.09) and cognitive stage at diagnosis (β, 0.01; 95% CI, -0.04 to 0.06). CONCLUSIONS AND RELEVANCE The results of this study revealed a social inequality in dementia diagnostic evaluation: in Denmark, people with higher income seem to receive an earlier diagnosis. Public health strategies should target people with lower SES for earlier dementia detection and intervention.
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Affiliation(s)
- Jindong Ding Petersen
- Research Unit of General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Sonja Wehberg
- Research Unit of General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Aake Packness
- Research Unit of General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Psychiatric Research Unit, Psychiatry Region Zealand, Slagelse, Denmark
| | - Nanna Herning Svensson
- Research Unit of General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Nana Hyldig
- OPEN (Open Patient Data Explorative Network), Odense University Hospital, Region of Southern Denmark, Odense, Denmark
| | - Søren Raunsgaard
- Research Unit of General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Merethe Kirstine Andersen
- Research Unit of General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Jesper Ryg
- Geriatric Research Unit, Department of Geriatric Medicine, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Stewart W. Mercer
- Advanced Care Research Centre, Usher Institute, University of Edinburgh, Edinburgh, Scotland
| | - Jens Søndergaard
- Research Unit of General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Frans Boch Waldorff
- Research Unit of General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Section of General Practice, Research Unit of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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Sun D, Wang Q, Kang J, Zhou J, Qian R, Wang W, Wang H, Zhang Q. Correlation between Serum Platelet Count and Cognitive Function in Patients with Atrial Fibrillation: A Cross-Sectional Study. Cardiol Res Pract 2021; 2021:9039610. [PMID: 33824766 PMCID: PMC8007372 DOI: 10.1155/2021/9039610] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 01/18/2021] [Accepted: 03/15/2021] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND The risk of cognitive impairment in patients with atrial fibrillation is significantly increased. Its occurrence may be related to blood hypercoagulable state and immune inflammatory reaction. Platelets can mediate immune inflammatory response, but there is no evidence about the relationship between platelet count and cognitive function in patients with atrial fibrillation. PURPOSE To explore whether there is a certain correlation between platelet count and cognitive function in patients with atrial fibrillation. METHODS A cross-sectional study was conducted in a single center in China, including 254 patients with atrial fibrillation. Cognitive function assessment and clinical and laboratory examinations were performed on all participants. After adjusting the related confounding factors, the relationship between platelet count and cognitive function was analyzed. RESULTS A total of 254 subjects with an average age of 59.71 ± 11.14 years were included. The average platelet count was 208.15 ± 68.30, and the average score of cognitive function was 19.29 ± 6.78. Result of fully adjusted binary logistic regression showed platelet count was negatively associated with the cognitive function score after adjusting confounders (hazard ratio (HR) = 0.000, 95%CI -0.01, 0.01). A nonlinear relationship was detected between platelet count and the cognitive function score, whose point was 230. The effect sizes and the confidence intervals of the left and right sides of the inflection point were 0.03 (0.01-0.05, P for nonlinearity = 0.011) and -0.03 (-0.05-0.00, P for nonlinearity = 0.023), respectively. CONCLUSION Platelets have a nonlinear relationship with cognitive function in patients with atrial fibrillation. This finding suggests that, in patients with atrial fibrillation, platelets should be maintained at about 230.
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Affiliation(s)
- Dandan Sun
- Department of Cardiology of Affiliated Hospital, Jining Medical University, 89# Guhuai Road, Rencheng District, Jining City 272000, Shandong Province, China
| | - Quanliang Wang
- Department of Cardiology of Affiliated Hospital, Jining Medical University, 89# Guhuai Road, Rencheng District, Jining City 272000, Shandong Province, China
| | - Jie Kang
- Department of Cardiology of Affiliated Hospital, Jining Medical University, 89# Guhuai Road, Rencheng District, Jining City 272000, Shandong Province, China
| | - Jie Zhou
- Department of Cardiology of Affiliated Hospital, Jining Medical University, 89# Guhuai Road, Rencheng District, Jining City 272000, Shandong Province, China
| | - Ruijuan Qian
- Department of Cardiology of Affiliated Hospital, Jining Medical University, 89# Guhuai Road, Rencheng District, Jining City 272000, Shandong Province, China
| | - Wenqing Wang
- Department of Cardiology of Affiliated Hospital, Jining Medical University, 89# Guhuai Road, Rencheng District, Jining City 272000, Shandong Province, China
| | - Haichen Wang
- Department of Cardiology of Affiliated Hospital, Jining Medical University, 89# Guhuai Road, Rencheng District, Jining City 272000, Shandong Province, China
| | - Qingyun Zhang
- Department of Cardiology of Affiliated Hospital, Jining Medical University, 89# Guhuai Road, Rencheng District, Jining City 272000, Shandong Province, China
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Abstract
SUMMARY
As we age, there are characteristic changes in our thinking, reasoning and memory skills (referred to as cognitive ageing). However, variation between people in the timing and degree of change experienced suggests that a range of factors determine individual cognitive ageing trajectories. This narrative review considers some of the lifestyle factors that might promote (or harm) cognitive health. The focus on lifestyle factors is because these are potentially modifiable by individuals or may be the targets of behavioural or societal interventions. To support that, the review briefly considers people's beliefs and attitudes about cognitive ageing; the nature and timing of cognitive changes across the lifespan; and the genetic contributions to cognitive ability level and change. In introducing potentially modifiable determinants, a framing that draws evidence derived from epidemiological studies of dementia is provided, before an overview of lifestyle and behavioural predictors of cognitive health, including education and occupation, diet and activity.
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83
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Alvares Pereira G, Silva Nunes MV, Alzola P, Contador I. Cognitive reserve and brain maintenance in aging and dementia: An integrative review. APPLIED NEUROPSYCHOLOGY-ADULT 2021; 29:1615-1625. [PMID: 33492168 DOI: 10.1080/23279095.2021.1872079] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
This research is an integrative review of scientific evidence differentiating between cognitive reserve (CR) and brain maintenance concepts. Thus, we have examined how CR socio-behavioral proxies (i.e. education, occupational attainment, and leisure activities) may help to cope with age-related cognitive decline and negative consequences of brain pathology. We also analyze lifestyle factors associated with brain maintenance or the relative absence of change in neural resources over time. Medline and Web of Science databases were used for the bibliographic search in the last 20 years. Observational cohort studies were selected to analyze the effect of different CR proxies on cognitive decline, including dementia incidence, whereas studies employing functional neuroimaging (fMRI) were used to display the existence of compensation mechanisms. Besides, structural MRI studies were used to test the association between lifestyle factors and neural changes. Our findings suggest that education, leisure activities, and occupational activity are protective factors against cognitive decline and dementia. Moreover, functional neuroimaging studies have verified the existence of brain networks that may underlie CR. Therefore, CR may be expressed either through a more efficient utilization (neural reserve) of brain networks or the recruitment of additional brain regions (compensation). Finally, lifestyle factors such as abstaining from smoking, lower alcohol consumption, and physical activity contributed to brain maintenance and were associated with the preservation of cognitive function. Advances in multimodal neuroimaging studies, preferably longitudinal design, will allow a better understanding of the neural mechanisms associated with the prevention of cognitive decline and preservation of neural resources in aging.
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Affiliation(s)
| | - Maria Vânia Silva Nunes
- Health Sciences Institute, Portuguese Catholic University, Lisbon, Portugal.,Interdisciplinary Health Research Center, Lisbon, Portugal
| | - Patricia Alzola
- Department of Basic Psychology, Psychobiology and Methodology, University of Salamanca, Salamanca, Spain
| | - Israel Contador
- Department of Basic Psychology, Psychobiology and Methodology, University of Salamanca, Salamanca, Spain
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Episodic Memory and Verbal Fluency Tasks: Normative Data from Nine Nationally Representative Samples. J Int Neuropsychol Soc 2021; 27:89-98. [PMID: 32762786 DOI: 10.1017/s1355617720000582] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE This study aims to generate country-specific norms for two episodic memory tasks and a verbal fluency test among middle-aged and older adults using nationally representative data from nine low-, middle-, and high-income countries. METHOD Data from nine countries in Africa, Asia, Europe, and Latin America were analyzed (n = 42,116; aged 50 years or older). Episodic memory was assessed with the word list memory (three trials of immediate recall) and word list recall (delayed recall). Verbal fluency was measured through the animal naming task. Multiple linear regression models with country-specific adjustments for gender, age, education, and residential area were carried out. RESULTS Both age and education showed high influence on test performance (i.e. lower cognitive performance with increasing age and decreasing years of education, respectively), while the effect of sex and residential area on cognitive function was neither homogeneous across countries nor across cognitive tasks. CONCLUSIONS Our study provided sex-, age-, education-, and residential area-specific regression-based norms that were obtained from one of the largest normative study worldwide on verbal recall and fluency tests to date. Findings derived from this study will be especially useful for clinicians and researchers based at countries where cognitive norms are limited.
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85
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Chakraborty A, Hegde S, Praharaj SK, Prabhu K, Patole C, Shetty AK, Mayya SS, Acharya RV, Hande HM, Prabhu MM, Upadhya D. Age Related Prevalence of Mild Cognitive Impairment in Type 2 Diabetes Mellitus Patients in the Indian Population and Association of Serum Lipids With Cognitive Dysfunction. Front Endocrinol (Lausanne) 2021; 12:798652. [PMID: 35035379 PMCID: PMC8758578 DOI: 10.3389/fendo.2021.798652] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 11/29/2021] [Indexed: 11/29/2022] Open
Abstract
The magnitude of type 2 diabetes mellitus (T2DM) is ever-increasing in India, and at present, ~77 million people live with diabetes. Studies have established that T2DM increases the risk of neurodegenerative disorders. This study aimed to determine the age-related prevalence of mild cognitive impairment (MCI) in T2DM patients in the Indian population and to identify link between cognitive dysfunction in T2DM patients and serum lipid composition through untargeted and targeted lipidomic studies. Using a cross-sectional study, we evaluated 1278 T2DM patients with Montreal cognitive assessment test (MoCA) and digit symbol substitution test (DSST) for cognitive functions. As per MoCA, the prevalences of MCI in T2DM patients in age groups below 40, 41-50, 51-60, 61-70, 71-80 and 81-90 years were 13.7, 20.5, 33.5, 43.7, 57.1 and 75% with DSST scores of 45.8, 41.7, 34.4, 30.5, 24.2 and 18.8% respectively. Binomial logistic regression analysis revealed serum HbA1c ≥ 7.51, duration of T2DM over 20 years, age above 41 years, and females were independent contributors for cognitive dysfunction in T2DM patients. Preliminary studies with untargeted lipidomics of the serum from 20 T2DM patients, including MCI and normal cognition (NC) group, identified a total of 646 lipids. Among the identified lipids, 33 lipids were significantly different between MCI and NC group, which comprised of triglycerides (TGs, 14), sphingolipids (SL, 11), and phosphatidylcholines (PC, 5). Importantly, 10 TGs and 3 PCs containing long-chain polyunsaturated fatty acids (PUFA) were lower, while 8 sphingolipids were increased in the MCI group. Since brain-derived sphingolipids are known to get enriched in the serum, we further quantified sphingolipids from the same 20 serum samples through targeted lipidomic analysis, which identified a total of 173 lipids. Quantitation revealed elevation of 3 species of ceramides, namely Cer (d18:1_24:1), Hex1Cer (d16:0_22:6), and Hex2Cer (d28:1) in the MCI group compared to the NC group of T2DM patients. Overall, this study demonstrated an age-related prevalence of MCI in T2DM patients and highlighted reduced levels of several species of PUFA containing TGs and PCs and increased levels of specific ceramides in T2DM patients exhibiting MCI. Large-scale lipidomic studies in future could help understand the cognitive dysfunction domain in T2DM patients, while studies with preclinical models are required to understand the functional significance of the identified lipids.
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Affiliation(s)
- Arpita Chakraborty
- Centre for Molecular Neurosciences, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, India
- Department of General Medicine, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Sumukha Hegde
- Centre for Molecular Neurosciences, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Samir K. Praharaj
- Department of Psychiatry, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Krishnananda Prabhu
- Department of Biochemistry, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Chhaya Patole
- Mass Spectrometry Facility, Institute For Stem Cell Science and Regenerative Medicine, Centre for Cellular and Molecular Platforms Campus, National Centre for Biological Sciences, Bangalore, India
| | - Ashok K. Shetty
- Institute for Regenerative Medicine, Texas Agricultural and Mechanical (A&M) Health Science Center College of Medicine, College Station, TX, United States
- Department of Molecular and Cellular Medicine, Texas Agricultural and Mechanical (A&M) Health Science Center College of Medicine, College Station, TX, United States
| | - Shreemathi S. Mayya
- Department of Data Science, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India
| | - Raviraj V. Acharya
- Department of General Medicine, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, India
| | - H. Manjunath Hande
- Department of General Medicine, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, India
| | - M. Mukhyaprana Prabhu
- Department of General Medicine, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, India
- *Correspondence: Dinesh Upadhya, ; M. Mukhyaprana Prabhu,
| | - Dinesh Upadhya
- Centre for Molecular Neurosciences, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, India
- *Correspondence: Dinesh Upadhya, ; M. Mukhyaprana Prabhu,
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86
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Oosterman JM, Jansen MG, Scherder EJA, Kessels RPC. Cognitive reserve relates to executive functioning in the old-old. Aging Clin Exp Res 2020; 33:2587-2592. [PMID: 33280069 PMCID: PMC8429397 DOI: 10.1007/s40520-020-01758-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 11/11/2020] [Indexed: 01/10/2023]
Abstract
Cognitive reserve (CR) is known to reduce or even protect against the negative effects of aging on cognitive functioning. Nonetheless, little is known about how CR influences the relationship between different cognitive abilities and age in the old–old. The goal of the present study was, therefore, to test the hypothesis whether, in the old–old, CR still modifies the relationship between age and cognitive functioning. Eighty-three adults (aged 71–94) without mild cognitive impairment or dementia residing in residential care facilities completed a detailed neuropsychological test battery. CR was estimated using a combination of educational attainment and an estimation of verbal intelligence. Moderation analyses revealed a significant effect for fluency and a trend for flexibility, showing that the negative relationship between age and cognitive performance is reduced as the level of CR increases. These results demonstrate that CR still influences the relationship between age and executive functions in adults of advanced age.
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87
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Nyberg L, Boraxbekk CJ, Sörman DE, Hansson P, Herlitz A, Kauppi K, Ljungberg JK, Lövheim H, Lundquist A, Adolfsson AN, Oudin A, Pudas S, Rönnlund M, Stiernstedt M, Sundström A, Adolfsson R. Biological and environmental predictors of heterogeneity in neurocognitive ageing: Evidence from Betula and other longitudinal studies. Ageing Res Rev 2020; 64:101184. [PMID: 32992046 DOI: 10.1016/j.arr.2020.101184] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 09/04/2020] [Accepted: 09/15/2020] [Indexed: 12/15/2022]
Abstract
Individual differences in cognitive performance increase with advancing age, reflecting marked cognitive changes in some individuals along with little or no change in others. Genetic and lifestyle factors are assumed to influence cognitive performance in ageing by affecting the magnitude and extent of age-related brain changes (i.e., brain maintenance or atrophy), as well as the ability to recruit compensatory processes. The purpose of this review is to present findings from the Betula study and other longitudinal studies, with a focus on clarifying the role of key biological and environmental factors assumed to underlie individual differences in brain and cognitive ageing. We discuss the vital importance of sampling, analytic methods, consideration of non-ignorable dropout, and related issues for valid conclusions on factors that influence healthy neurocognitive ageing.
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Affiliation(s)
- Lars Nyberg
- Department of Radiation Sciences, Umeå University, S-90187 Umeå, Sweden; Umeå Center for Functional Brain Imaging (UFBI), Umeå University, S-90187 Umeå, Sweden; Department of Integrative Medical Biology, Umeå University, S-90187 Umeå, Sweden.
| | - Carl-Johan Boraxbekk
- Department of Radiation Sciences, Umeå University, S-90187 Umeå, Sweden; Umeå Center for Functional Brain Imaging (UFBI), Umeå University, S-90187 Umeå, Sweden; Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Denmark; Institute of Sports Medicine Copenhagen (ISMC), Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - Daniel Eriksson Sörman
- Department of Human Work Science, Luleå University of Technology, SE-97187 Luleå, Sweden
| | - Patrik Hansson
- Department of Psychology, Umeå University, S-90187 Umeå, Sweden
| | - Agneta Herlitz
- Department of Clinical Neuroscience, Division of Psychology, Karolinska Institutet, S-17177 Stockholm, Sweden
| | - Karolina Kauppi
- Department of Integrative Medical Biology, Umeå University, S-90187 Umeå, Sweden; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jessica K Ljungberg
- Department of Human Work Science, Luleå University of Technology, SE-97187 Luleå, Sweden
| | - Hugo Lövheim
- Department of Community Medicine and Rehabilitation, Geriatric Medicine, Umeå University, Umeå, Sweden; Wallenberg Centre for Molecular Medicine (WCMM), Umeå University, Umeå, Sweden
| | - Anders Lundquist
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, S-90187 Umeå, Sweden; Department of Statistics, USBE, Umeå University, 901 87 Umeå, Sweden
| | | | - Anna Oudin
- Department of Public Health and Clinical Medicine, Umeå University, S-90187 Umeå, Sweden; Environment Society and Health, Occupational and Environmental Medicine, Lund University
| | - Sara Pudas
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, S-90187 Umeå, Sweden; Department of Integrative Medical Biology, Umeå University, S-90187 Umeå, Sweden
| | | | - Mikael Stiernstedt
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, S-90187 Umeå, Sweden; Department of Integrative Medical Biology, Umeå University, S-90187 Umeå, Sweden
| | - Anna Sundström
- Department of Psychology, Umeå University, S-90187 Umeå, Sweden; Centre for Demographic and Ageing Research (CEDAR), Umeå University, Umeå, S-90187, Sweden
| | - Rolf Adolfsson
- Department of Clinical Sciences, Umeå University, S-90187 Umeå, Sweden
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88
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Lee SY, Kang JM, Kim DJ, Woo SK, Lee JY, Cho SJ. Cognitive Reserve, Leisure Activity, and Neuropsychological Profile in the Early Stage of Cognitive Decline. Front Aging Neurosci 2020; 12:590607. [PMID: 33192487 PMCID: PMC7649371 DOI: 10.3389/fnagi.2020.590607] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Accepted: 09/30/2020] [Indexed: 11/13/2022] Open
Abstract
In older adults with normal cognition, cognitive reserve (CR) is known to be associated with the neuropsychological profile. We investigated the association between comprehensive CR and detailed neuropsychological profile in the early stage of cognitive decline. Fifty-five participants with mild cognitive impairment or subjective cognitive decline completed the cognitive reserve index questionnaire (CRIq) that yielded total, education, working activity, and leisure time scores (CRI-Total, CRI-Education, CRI-Working activity, and CRI-Leisure time, respectively). Mini-mental state examination (MMSE) and detailed neuropsychological evaluation were performed. Psychiatric symptom scales were applied to measure depression, apathy, positive or negative affect, and quality of life. Correlation and linear regression analyses of the variables were performed. The effect of CR-Education, CRI-Working activity, and CRI-Leisure time on the composite cognitive score was determined using a multivariable regression model. We observed that for CRI-Total (B = 3.00, p = 0.005), CRI-Education (B = 3.39, p = 0.002), and CRI-Leisure time (B = 2.56, p = 0.015), CR correlated with MMSE scores, while only CRI-Leisure time associated with the naming ability (B = 2.20, p = 0.033) in the detailed neuropsychological test results of the participants. Multivariable regression model also indicated that among CRI subscores, CRI-Leisure time directly affects the composite cognitive score (β = 0.32, p = 0.011). We found that in the early stage of cognitive decline in older adults, comprehensive CR was associated with global cognition, and only leisure activity was identified to be associated with the detailed neuropsychological profile including naming ability. These results may imply the positive effect of leisure activity on cognitive function in the early stages of cognitive decline.
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Affiliation(s)
- Sook Young Lee
- Department of Psychiatry, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea
| | - Jae Myeong Kang
- Department of Psychiatry, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea
| | - Da Jeong Kim
- Department of Psychiatry, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea
| | - Soo Kyun Woo
- Department of Psychiatry, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea
| | - Jun-Young Lee
- Department of Neuropsychiatry, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, South Korea
| | - Seong-Jin Cho
- Department of Psychiatry, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea
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89
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Lövdén M, Fratiglioni L, Glymour MM, Lindenberger U, Tucker-Drob EM. Education and Cognitive Functioning Across the Life Span. Psychol Sci Public Interest 2020; 21:6-41. [PMID: 32772803 PMCID: PMC7425377 DOI: 10.1177/1529100620920576] [Citation(s) in RCA: 447] [Impact Index Per Article: 111.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Cognitive abilities are important predictors of educational and occupational performance, socioeconomic attainment, health, and longevity. Declines in cognitive abilities are linked to impairments in older adults' everyday functions, but people differ from one another in their rates of cognitive decline over the course of adulthood and old age. Hence, identifying factors that protect against compromised late-life cognition is of great societal interest. The number of years of formal education completed by individuals is positively correlated with their cognitive function throughout adulthood and predicts lower risk of dementia late in life. These observations have led to the propositions that prolonging education might (a) affect cognitive ability and (b) attenuate aging-associated declines in cognition. We evaluate these propositions by reviewing the literature on educational attainment and cognitive aging, including recent analyses of data harmonized across multiple longitudinal cohort studies and related meta-analyses. In line with the first proposition, the evidence indicates that educational attainment has positive effects on cognitive function. We also find evidence that cognitive abilities are associated with selection into longer durations of education and that there are common factors (e.g., parental socioeconomic resources) that affect both educational attainment and cognitive development. There is likely reciprocal interplay among these factors, and among cognitive abilities, during development. Education-cognitive ability associations are apparent across the entire adult life span and across the full range of education levels, including (to some degree) tertiary education. However, contrary to the second proposition, we find that associations between education and aging-associated cognitive declines are negligible and that a threshold model of dementia can account for the association between educational attainment and late-life dementia risk. We conclude that educational attainment exerts its influences on late-life cognitive function primarily by contributing to individual differences in cognitive skills that emerge in early adulthood but persist into older age. We also note that the widespread absence of educational influences on rates of cognitive decline puts constraints on theoretical notions of cognitive aging, such as the concepts of cognitive reserve and brain maintenance. Improving the conditions that shape development during the first decades of life carries great potential for improving cognitive ability in early adulthood and for reducing public-health burdens related to cognitive aging and dementia.
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Affiliation(s)
- Martin Lövdén
- Aging Research Center, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Department of Psychology, University of Gothenburg, Gothenburg, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - M. Maria Glymour
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, United Kingdom
| | - Elliot M. Tucker-Drob
- Department of Psychology and Population Research Center, University of Texas at Austin
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90
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Clinical and Biological Correlates of Preoperative Cognitive Functioning of Glioma and Meningioma Patients. BIOMED RESEARCH INTERNATIONAL 2020; 2020:2054859. [PMID: 32461966 PMCID: PMC7232682 DOI: 10.1155/2020/2054859] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/27/2019] [Revised: 03/31/2020] [Accepted: 04/17/2020] [Indexed: 01/13/2023]
Abstract
Objectives This study aimed to investigate the association of high-sensitivity C-reactive protein (hsCRP) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) serum concentrations with cognitive functions of glioma and meningioma patients. Methods 177 brain tumor patients awaiting for brain tumor surgery participated in the study. Patients were assessed preoperatively, using neuropsychological tests for verbal memory, psychomotor speed, mental flexibility, and verbal fluency. The functional status of patients was evaluated using the Karnofsky Performance Index. Blood samples were drawn for evaluation of serum hsCRP and NT-proBNP concentrations upon hospital admission. Results The highest NT-proBNP concentration was observed in meningioma patients. Glioma and meningioma patients did not differ in hsCRB concentration. Patients in the highest hsCRP tertile were older and more frequently reported cardiovascular comorbidity. Patients in the highest NT-proBNP tertile were older, more frequently with cardiovascular comorbidity, females, and diagnosed with a meningioma. hsCRP was significantly related to slower psychomotor speed in high-grade glioma patients (rho = 0.30, p < 0.05). In meningioma sample, NT-proBNP correlated with decreased psychomotor speed (rho = 0.38, p < 0.01), mental flexibility (rho = 0.33, p < 0.01), worse cumulative learning (rho = −0.27, p < 0.05), and delayed recall (rho = 0.30, p < 0.01). However, the relationship between the NT-proBNP and cognitive functions became nonsignificant when demographic and clinical covariates were included into analysis. Higher hsCRP concentration remained significantly related to slower psychomotor speed (p = 0.02) and worse mental flexibility (p = 0.05) in glioma patients, independently from demographic and clinical covariates. Preoperative cognitive functioning was also predicted by older age, gender, side and location of the tumor, and tumor malignancy, and general functional status of a patient. Conclusions NT-proBNP was not associated with memory, language, and attention/executive cognitive domains of glioma and meningioma patients. Increased hsCRP was related to slower psychomotor speed and worse mental flexibility in glioma patients, indicating that inflammation processes are important for cognitive functioning in glial tumors.
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