1
|
Owens JH, Fiala J, Jones RN, Marsiske M. The Mediating Effects of Education and Occupational Complexity Between Race and Longitudinal Change in Late Life Cognition in ACTIVE. Res Aging 2024:1640275241248825. [PMID: 38648193 DOI: 10.1177/01640275241248825] [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: 04/25/2024]
Abstract
This study examined educational and occupational inequality as two aspects of social determinants of health that might mediate the longitudinal relationship between racialization and late life cognitive level and change. Participants were 2371 individuals racialized as Black and White from the ACTIVE study who provided occupational data. Data were analyzed from baseline and five assessments over 10-years using structural equation modeling. Black/White race served as the predictor, occupational complexity (OC) and years of education as mediators, and cognitive (memory, reasoning, and speed of processing) intercept, linear slope, and quadratic slope as the dependent variables. Black/White race showed significant indirect associations through education and OC on level of performance in cognition, linear change in reasoning and memory, and quadratic change in reasoning. Education and OC accounted for 11-16% of the association between race and cognitive level and represent modifiable social determinants of health that are associated with disparities in cognitive aging.
Collapse
Affiliation(s)
- Joshua H Owens
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Jacob Fiala
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Richard N Jones
- Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University, Providence, USA
| | - Michael Marsiske
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| |
Collapse
|
2
|
Libon DJ, Swenson R, Tobyne S, Jannati A, Schulman D, Price CC, Lamar M, Pascual-Leone A. Dysexecutive difficulty and subtle everyday functional disabilities: the digital Trail Making Test. Front Neurol 2024; 15:1354647. [PMID: 38633534 PMCID: PMC11021769 DOI: 10.3389/fneur.2024.1354647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 02/19/2024] [Indexed: 04/19/2024] Open
Abstract
Background Digital neuropsychological tests reliably capture real-time, process-based behavior that traditional paper/pencil tests cannot detect, enabling earlier detection of neurodegenerative illness. We assessed relations between informant-based subtle and mild functional decline and process-based features extracted from the digital Trail Making Test-Part B (dTMT-B). Methods A total of 321 community-dwelling participants (56.0% female) were assessed with the Functional Activities Questionnaire (FAQ) and the dTMT-B. Three FAQ groups were constructed: FAQ = 0 (unimpaired); FAQ = 1-4 (subtle impairment); FAQ = 5-8 (mild impairment). Results Compared to the FAQ-unimpaired group, other groups required longer pauses inside target circles (p < 0.050) and produced more total pen strokes to complete the test (p < 0.016). FAQ-subtle participants required more time to complete the entire test (p < 0.002) and drew individual lines connecting successive target circles slower (p < 0.001) than FAQ-unimpaired participants. Lines connecting successive circle targets were less straight among FAQ-mild, compared to FAQ-unimpaired participants (p < 0.044). Using stepwise nominal regression (reference group = FAQ-unimpaired), pauses inside target circles classified other participants into their respective groups (p < 0.015, respectively). Factor analysis using six dTMT-B variables (oblique rotation) yielded a two-factor solution related to impaired motor/cognitive operations (48.96% variance explained) and faster more efficient motor/cognitive operations (28.88% variance explained). Conclusion Digital assessment technology elegantly quantifies occult, nuanced behavior not previously appreciated, operationally defines critical underlying neurocognitive constructs related to functional abilities, and yields selected process-based scores that outperform traditional paper/pencil test scores for participant classification. When brought to scale, the dTMT-B test could be a sensitive tool to detect subtle-to-mild functional deficits in emergent neurodegenerative illnesses.
Collapse
Affiliation(s)
- David J. Libon
- Department of Geriatrics and Gerontology, New Institute for Successful Aging, Rowan University-School of Osteopathic Medicine, Stratford, NJ, United States
- Department of Psychology, Rowan University, Glassboro, NJ, United States
| | - Rod Swenson
- University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND, United States
| | | | - Ali Jannati
- Linus Health, Boston, MA, United States
- Department of Neurology, Harvard Medical School, Boston, MA, United States
| | | | - Catherine C. Price
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States
| | - Melissa Lamar
- Rush Alzheimer’s Disease Center and the Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States
| | - Alvaro Pascual-Leone
- Linus Health, Boston, MA, United States
- Department of Neurology, Harvard Medical School, Boston, MA, United States
- Hinda and Arthur Marcus Institute for Aging Research and Deanna Sidney Wolk Center for Memory Health, and Eleanor and Herbert Bearak Memory Wellness for Life Program, Hebrew Senior Life, Boston, MA, United States
| |
Collapse
|
3
|
Yuan M, Long X, Zhang Z, Rong M, Lian S, Peng Y, Fang Y. Longitudinal trajectory effects of different MCI subtypes on general cognitive and daily functions in a population-based cohort of older adults. J Psychiatr Res 2024; 171:296-305. [PMID: 38335640 DOI: 10.1016/j.jpsychires.2024.01.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 01/04/2024] [Accepted: 01/22/2024] [Indexed: 02/12/2024]
Abstract
OBJECTIVES To identify different mild cognitive impairment (MCI) phenotypes based on substantial relative impairment in specific cognitive domains and then characterize the complex process of general cognitive and daily functions over time in older adults with these MCI subtypes. METHODS A total of 1020 participants with MCI at baseline from the Alzheimer's Disease Neuroimaging Initiative (ADNI) were recruited. MCI subtypes were obtained based on neuropsychological tests in five cognitive domains: memory (M), visuospatial function (V), language (L), processing speed (P), and executive function (E). General cognitive function and daily function were measured by the Mini-Mental State Examination (MMSE) and the Functional Assessment Questionnaire (FAQ), respectively. Linear mixed models were fitted to curve their trajectories across different MCI subtypes. RESULTS Considering visuospatial function, subtypes were MO (memory impaired only), M&V (memory and visuospatial function impaired) and M&nV (memory impaired and visuospatial function non-impaired). Similar subtypes and naming rules were obtained based on language, executive function, and processing speed. Further, depending on the number of relative impaired cognitive domains M&S and M&M were obtained. Participants with MO had the highest prevalence in the sample (53.4 %), followed by M&nV (31.1 %). Participants with M&V had the highest mean age (74.69 years) at baseline and the greatest dementia conversion rate (53.2 %). The MMSE and FAQ score trajectories changed most slowly in participants with MO while fastest in those with M&V. Obvious different trajectories of both MMSE and FAQ scores were observed across different subtypes based on visuospatial function and executive function. CONCLUSION Compared to MO, individuals with multi-dimensional cognitive impairment have worse general cognitive and daily functions, especially for those with M&V.
Collapse
Affiliation(s)
- Manqiong Yuan
- Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health, Xiamen University, Xiamen, China; Center for Aging and Health Research, School of Public Health, Xiamen University, Xiamen, China
| | - Xianxian Long
- Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health, Xiamen University, Xiamen, China; Center for Aging and Health Research, School of Public Health, Xiamen University, Xiamen, China
| | - Zeyun Zhang
- Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health, Xiamen University, Xiamen, China; Center for Aging and Health Research, School of Public Health, Xiamen University, Xiamen, China
| | - Meng Rong
- Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health, Xiamen University, Xiamen, China; Center for Aging and Health Research, School of Public Health, Xiamen University, Xiamen, China
| | - Shuli Lian
- Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health, Xiamen University, Xiamen, China; Center for Aging and Health Research, School of Public Health, Xiamen University, Xiamen, China
| | - Yingxue Peng
- School of Public Health, Xiamen University, Xiamen, China
| | - Ya Fang
- Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health, Xiamen University, Xiamen, China; Center for Aging and Health Research, School of Public Health, Xiamen University, Xiamen, China.
| |
Collapse
|
4
|
Wallace G, Bell T, Black S, Crowe M, Thorpe RJ, Pope C, Rebok GW. Associations of Subjective Memory with Life Space and Neighborhood Built Environment in Older Adults in the ACTIVE Study. J Aging Health 2024; 36:161-169. [PMID: 37247433 DOI: 10.1177/08982643231177760] [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] [Indexed: 05/31/2023]
Abstract
Objectives: To investigate the longitudinal association of life space and neighborhood and built environment (NBE) with subjective memory among individuals 65 and older, and the mediating role of depressive symptoms, a major correlate of life space mobility, NBE, and subjective memory. Methods: We examined community-dwelling participants in the Advanced Cognitive Training for Independent and Vital Elderly study (N = 2,622, Mean age = 73.7 years, 24.9% Black) across annual assessments of up to 3 years. Results: Baseline life space and NBE were positively associated with subjective memory, and these associations were partly mediated by depressive symptoms. Over time, higher baseline life space predicted a better subjective memory as one aged. Life space was concurrently associated with subjective memory across time, mediated by concurrent depressive symptoms. Discussion: Potentially modifiable environmental factors such as life space and NBE appear to influence level and change in subjective memory as we age. Interventions supporting movement in our environments may help offset subjective memory problems, a potential early sign of dementia.
Collapse
Affiliation(s)
- Gail Wallace
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Johns Hopkins Alzheimer's Disease Resource Center for Minority Aging Research, Baltimore, MD, USA
| | - Tyler Bell
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Sheila Black
- Department of Psychology, The University of Alabama, Tuscaloosa, AL, USA
| | - Michael Crowe
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Roland J Thorpe
- Program of Research on Men's Health, Hopkins Center for Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Health Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Johns Hopkins Alzheimer's Disease Resource Center for Minority Aging Research, Baltimore, MD, USA
| | - Caitlin Pope
- Department of Health, Behavior & Society, University of Kentucky, Lexington, KY, USA
- Graduate Center for Gerontology, University of Kentucky, Lexington, KY, USA
- Kentucky Injury Prevention and Research Center, University of Kentucky, Lexington, KY, USA
| | - George W Rebok
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Johns Hopkins Alzheimer's Disease Resource Center for Minority Aging Research, Baltimore, MD, USA
| |
Collapse
|
5
|
Tyner CE, Boulton AJ, Slotkin J, Cohen ML, Weintraub S, Gershon RC, Tulsky DS. Exploring symptom clusters in mild cognitive impairment and dementia with the NIH Toolbox. J Int Neuropsychol Soc 2024:1-12. [PMID: 38361424 DOI: 10.1017/s1355617724000055] [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: 02/17/2024]
Abstract
OBJECTIVE Symptom clustering research provides a unique opportunity for understanding complex medical conditions. The objective of this study was to apply a variable-centered analytic approach to understand how symptoms may cluster together, within and across domains of functioning in mild cognitive impairment (MCI) and dementia, to better understand these conditions and potential etiological, prevention, and intervention considerations. METHOD Cognitive, motor, sensory, emotional, and social measures from the NIH Toolbox were analyzed using exploratory factor analysis (EFA) from a dataset of 165 individuals with a research diagnosis of either amnestic MCI or dementia of the Alzheimer's type. RESULTS The six-factor EFA solution described here primarily replicated the intended structure of the NIH Toolbox with a few deviations, notably sensory and motor scores loading onto factors with measures of cognition, emotional, and social health. These findings suggest the presence of cross-domain symptom clusters in these populations. In particular, negative affect, stress, loneliness, and pain formed one unique symptom cluster that bridged the NIH Toolbox domains of physical, social, and emotional health. Olfaction and dexterity formed a second unique cluster with measures of executive functioning, working memory, episodic memory, and processing speed. A third novel cluster was detected for mobility, strength, and vision, which was considered to reflect a physical functioning factor. Somewhat unexpectedly, the hearing test included did not load strongly onto any factor. CONCLUSION This research presents a preliminary effort to detect symptom clusters in amnestic MCI and dementia using an existing dataset of outcome measures from the NIH Toolbox.
Collapse
Affiliation(s)
- Callie E Tyner
- Center for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA
| | - Aaron J Boulton
- Center for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA
| | - Jerry Slotkin
- Center for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA
| | - Matthew L Cohen
- Center for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA
- Department of Communication Sciences & Disorders, University of Delaware, Newark, DE, USA
- Delaware Center for Cognitive Aging Research, University of Delaware, Newark, DE, USA
| | - Sandra Weintraub
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Richard C Gershon
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - David S Tulsky
- Center for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA
- Departments of Physical Therapy and Psychological and Brain Sciences, University of Delaware, Newark, DE, USA
| |
Collapse
|
6
|
Cai Y, Schrack JA, Agrawal Y, Armstrong NM, Wanigatunga AA, Kitner-Triolo M, Moghekar A, Ferrucci L, Simonsick EM, Resnick SM, Gross AL. Application and validation of an algorithmic classification of early impairment in cognitive performance. Aging Ment Health 2023; 27:2187-2192. [PMID: 37354067 PMCID: PMC10592406 DOI: 10.1080/13607863.2023.2227118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 06/09/2023] [Indexed: 06/26/2023]
Abstract
OBJECTIVE Due to the long prodromal period for dementia pathology, approaches are needed to detect cases before clinically recognizable symptoms are apparent, by which time it is likely too late to intervene. This study contrasted two theoretically-based algorithms for classifying early cognitive impairment (ECI) in adults aged ≥50 enrolled in the Baltimore Longitudinal Study of Aging. METHOD Two ECI algorithms were defined as poor performance (1 standard deviation [SD] below age-, sex-, race-, and education-specific means) in: (1) Card Rotations or California Verbal Learning Test (CVLT) immediate recall and (2) ≥1 (out of 2) memory or ≥3 (out of 6) non-memory tests. We evaluated concurrent criterion validity against consensus diagnoses of mild cognitive impairment (MCI) or dementia and global cognitive scores using receiver operating characteristic (ROC) curve analysis. Predictive criterion validity was evaluated using Cox proportional hazards models to examine the associations between algorithmic status and future adjudicated MCI/dementia. RESULTS Among 1,851 participants (mean age = 65.2 ± 11.8 years, 50% women, 74% white), the two ECI algorithms yielded comparably moderate concurrent criterion validity with adjudicated MCI/dementia. For predictive criterion validity, the algorithm based on impairment in Card Rotations or CVLT immediate recall was the better predictor of MCI/dementia (HR = 3.53, 95%CI: 1.59-7.84) over 12.3 follow-up years. CONCLUSIONS Impairment in visuospatial ability or memory may be capable of detecting early cognitive changes in the preclinical phase among cognitively normal individuals.
Collapse
Affiliation(s)
- Yurun Cai
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Health and Community Systems, University of Pittsburgh School of Nursing, Pittsburgh, PA, USA
| | - Jennifer A. Schrack
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Center on Aging and Health, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Yuri Agrawal
- Department of Otolaryngology - Head and Neck Surgery, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Nicole M. Armstrong
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, RI, USA
- Intramural Research Program, National Institute on Aging, Baltimore, MD, USA
| | - Amal A. Wanigatunga
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Center on Aging and Health, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | | | - Abhay Moghekar
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Luigi Ferrucci
- Intramural Research Program, National Institute on Aging, Baltimore, MD, USA
| | | | - Susan M. Resnick
- Intramural Research Program, National Institute on Aging, Baltimore, MD, USA
| | - Alden L. Gross
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Center on Aging and Health, Johns Hopkins School of Medicine, Baltimore, MD, USA
| |
Collapse
|
7
|
Dean LT, Chung SE, Gross AL, Clay OJ, Willis SL, Crowe M, McDonough IM, Thomas KR, Marsiske M, Aysola J, Thorpe RJ, Felix C, Berkowitz M, Coe NB. Does Consumer Credit Precede or Follow Changes in Cognitive Impairment Among Older Adults? An Investigation in the Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) Trial. J Aging Health 2023; 35:84S-94S. [PMID: 37994853 DOI: 10.1177/08982643221113715] [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] [Indexed: 11/24/2023]
Abstract
OBJECTIVES We assessed the relationships between pre- and post-morbid consumer credit history (credit scores, debts unpaid, or in collections) and classification of mild (or greater) cognitive impairment (MCI). METHODS Generalized Estimating Equation models assessed pre-and post-morbid credit history and MCI risk among 1740 participants aged 65+ in the Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) study, linked to TransUnion consumer credit data. RESULTS Each 50-point increase in credit score was associated with up to 8% lower odds of MCI in the next 3 years. In contrast, new unpaid collections over doubled the odds of having MCI in the next 3 years. MCI was associated with subsequent credit score declines and a 47%-71% greater risk of having a new unpaid collection in the next 4 years. DISCUSSION Credit declines may signal risk for future MCI. MCI may lead to financial challenges that warrant credit monitoring interventions for older adults.
Collapse
Affiliation(s)
- Lorraine T Dean
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Shang-En Chung
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Alden L Gross
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Olivio J Clay
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
- University of Alabama at Birmingham Alzheimer's Disease Research Center, Birmingham, AL, USA
| | | | - Michael Crowe
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ian M McDonough
- Department of Psychology, University of Alabama, Tuscaloosa, AL, USA
| | - Kelsey R Thomas
- VA San Diego Healthcare System and Department of Psychiatry, San Diego School of Medicine, University of California, San Diego, CA, USA
| | | | - Jaya Aysola
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Roland J Thorpe
- Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Johns Hopkins Alzheimer's Disease Resource Center for Minority Aging Research, Baltimore, MD, USA
| | - Cynthia Felix
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Melissa Berkowitz
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Norma B Coe
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
8
|
Libon DJ, Emrani S, Matusz EF, Wasserman V, Perweiler E, Ginsberg TB, Powell L, Bezdicek O, Swenson R, Schmitter-Edgecombe M. Instrumental activities of daily living and mild cognitive impairment. J Clin Exp Neuropsychol 2023; 45:473-481. [PMID: 37624105 DOI: 10.1080/13803395.2023.2249626] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 08/12/2023] [Indexed: 08/26/2023]
Abstract
BACKGROUND Functional impairments are a necessary requirement for the diagnosis of a dementia along with observed cognitive impairment. Comparatively, functional abilities are often relatively intact in those with mild cognitive impairment (MCI). OBJECTIVE The current research examined the associations between memory clinic participants classified as cognitively intact, amnestic MCI, and mixed/dysexecutive MCI, using Jak-Bondi criteria, and Instrumental Activities of Daily Living - Compensation Scale (IADL-C) abilities, an informant-based questionnaire that quantifies functional abilities. The associations between functional abilities as assessed with the IADL-C and performance on neuropsychological tests were also investigated. METHODS IADLC scores were obtained along with a comprehensive neuropsychological protocol on memory clinic participants (n = 100) classified as cognitively normal (CN), amnestic MCI (aMCI), or a combined mixed/dysexecutive (mixed/dys) MCI. Regression analyses were employed to determine how the IADLC related to neuropsychological test performance. RESULTS On the IADLC, greater functional impairment was commonly observed in the mixed/dys MCI group compared to CN participants. Furthermore, the mixed/dys MCI group had lower scores on activities such as Money and Self-Management, Travel and Event Memory subscales compared to the CN group. Linear regression analyses found greater functional impairment in relation to lower scores on executive and episodic memory tests. CONCLUSIONS Greater functional impairment as assessed with the IADL-C appears to be disproportionately associated with dysexecutive difficulty, and to a lesser degree, episodic memory.
Collapse
Affiliation(s)
- David J Libon
- Department of Geriatrics and Gerontology, New Jersey Institute for Successful Aging, Rowan University-School of Osteopathic Medicine, Stratford, USA
- Department of Psychology, Rowan University, Glassboro, USA
| | - Sheina Emrani
- Department of Psychiatry, Brown University, Providence, USA
| | - Emily F Matusz
- Department of Clinical and Health Psychology, University of Florida, Gainesville, USA
| | - Victor Wasserman
- Department of Geriatrics and Gerontology, New Jersey Institute for Successful Aging, Rowan University-School of Osteopathic Medicine, Stratford, USA
| | | | | | - Leonard Powell
- Department of Psychology, Rowan University, Glassboro, USA
| | - Ondrej Bezdicek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Rodney Swenson
- Department of Psychiatry and Behavioral Science, University of North Dakota School of Medicine and Health Sciences, Grand Forks, USA
| | | |
Collapse
|
9
|
Cai Y, Schrack JA, Agrawal Y, Armstrong NM, Wanigatunga A, Kitner-Triolo M, Moghekar A, Ferrucci L, Simonsick EM, Resnick SM, Gross AL. Application and validation of an algorithmic classification of early impairment in cognitive performance. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.02.04.23285477. [PMID: 36798178 PMCID: PMC9934722 DOI: 10.1101/2023.02.04.23285477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Objective Due to the long prodromal period for dementia pathology, approaches are needed to detect cases before clinically recognizable symptoms are apparent, by which time it is likely too late to intervene. This study contrasted two theoretically-based algorithms for classifying early cognitive impairment (ECI) in adults aged ≥50 enrolled in the Baltimore Longitudinal Study of Aging. Method Two ECI algorithms were defined as poor performance (1 standard deviation [SD] below age-, sex-, race-, and education-specific means) in: (1) Card Rotations or California Verbal Learning Test (CVLT) immediate recall and (2) ≥1 (out of 2) memory or ≥3 (out of 6) non- memory tests. We evaluated concurrent criterion validity against consensus diagnoses of mild cognitive impairment (MCI) or dementia and global cognitive scores using receiver operating characteristic (ROC) curve analysis. Predictive criterion validity was evaluated using Cox proportional hazards models to examine the associations between algorithmic status and future adjudicated MCI/dementia. Results Among 1,851 participants (mean age=65.2±11.8 years, 50% women, 74% white), the two ECI algorithms yielded comparably moderate concurrent criterion validity with adjudicated MCI/dementia. For predictive criterion validity, the algorithm based on impairment in Card Rotations or CVLT immediate recall was the better predictor of MCI/dementia (HR=3.53, 95%CI: 1.59-7.84) over 12.3 follow-up years. Conclusions Impairment in visuospatial ability or memory may be capable of detecting early cognitive changes in the preclinical phase among cognitively normal individuals.
Collapse
|
10
|
Overton M, Sjögren B, Elmståhl S, Rosso A. Mild Cognitive Impairment, Reversion Rates, and Associated Factors: Comparison of Two Diagnostic Approaches. J Alzheimers Dis 2023; 91:585-601. [PMID: 36463443 PMCID: PMC9912719 DOI: 10.3233/jad-220597] [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] [Indexed: 11/30/2022]
Abstract
BACKGROUND As mild cognitive impairment (MCI) is typically used to identify prodromal stages of dementia, it is essential to identify MCI criteria with high diagnostic stability and prediction of dementia. Moreover, further investigation into pinpointing key factors for reversion is required to foresee future prognosis of MCI patients accurately. OBJECTIVE To explore disparities in diagnostic stability by examining reversion rates produced by two operationalizations of the MCI definition: the widely applied Petersen criteria and a version of the Neuropsychological (NP) criteria and to identify cognitive, lifestyle, and health related factors for reversion. METHODS MCI was retrospectively classified in a sample from the Swedish community-based study Good Aging in Skåne with the Petersen criteria (n = 744, median follow-up = 7.0 years) and the NP criteria (n = 375, median follow-up, 6.7 years), respectively. Poisson regression models estimated the effect of various factors on the likelihood of incident reversion. RESULTS Reversion rates were 323/744 (43.4%, 95% confidence intervals (CI): 39.8; 47.0) and 181/375 (48.3% 95% CI: 43.2; 53.5) for the Petersen criteria and NP criteria, respectively. Participants with impairment in a single cognitive domain, regular alcohol consumption, living with someone, older age, and lower body mass index had a higher likelihood of reverting to normal. CONCLUSION Reversion rates were similar for Petersen and NP criteria indicating that one definition is not superior to the other regarding diagnostic stability. Additionally, the results highlight important aspects such as multiple domain MCI, cohabitation, and the role of alcohol on predicting the trajectory of those diagnosed with MCI.
Collapse
Affiliation(s)
- Marieclaire Overton
- Division of Geriatric Medicine, Department of Clinical Sciences in Malmö, Lund University, Skåne University Hospital, Malmö, Sweden,Correspondence to: Marieclaire Overton, Jan Waldenströms gata 35, CRC, Building 28, fl.13,
Skåne University Hospital, SE-205 02, Malmö, Sweden. Tel.: +46 709420138;
E-mail:
| | - Benjamin Sjögren
- Division of Geriatric Medicine, Department of Clinical Sciences in Malmö, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Sölve Elmståhl
- Division of Geriatric Medicine, Department of Clinical Sciences in Malmö, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Aldana Rosso
- Division of Geriatric Medicine, Department of Clinical Sciences in Malmö, Lund University, Skåne University Hospital, Malmö, Sweden
| |
Collapse
|
11
|
Carlew AR, Kaser A, Schaffert J, Goette W, Lacritz L, Rossetti H. A Critical Review of Neuropsychological Actuarial Criteria for Mild Cognitive Impairment. J Alzheimers Dis 2023; 91:169-182. [PMID: 36404551 DOI: 10.3233/jad-220805] [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: 11/19/2022]
Abstract
BACKGROUND The concept of mild cognitive impairment (MCI) has evolved since its original conception. So, too, have MCI diagnostic methods, all of which have varying degrees of success in identifying individuals at risk of conversion to dementia. The neuropsychological actuarial method is a straightforward diagnostic approach that has shown promise in large datasets in identifying individuals with MCI who are likely to have progressive courses. This method has been increasingly applied in various iterations and samples, raising questions of how best to apply this method and when caution should be used. OBJECTIVE Our objective was to review the literature investigating use of the neuropsychological actuarial method to diagnose MCI to identify strengths and weaknesses of this approach, as well as highlight areas for further research. METHODS Databases PubMed and PsychInfo were systematically searched for studies that compared the neuropsychological actuarial method to some other diagnostic method. RESULTS We identified 13 articles and extracted relevant study characteristics and findings. Existing literature was reviewed and integrated, with focus on the neuropsychological actuarial method's performance relative to existing diagnostic methods/criteria as well as associations with longitudinal outcomes and biomarkers. Tables with pertinent methodological information and general findings are also provided. CONCLUSION The neuropsychological actuarial method to diagnose MCI has shown utility some in large-scale homogenous databases compared to research criteria. However, its standing relative to consensus diagnostic methods is unclear, and emerging evidence suggests the neuropsychological actuarial method may be more prone to diagnostic errors in more demographically diverse populations.
Collapse
Affiliation(s)
- Anne R Carlew
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Alyssa Kaser
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jeff Schaffert
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - William Goette
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Laura Lacritz
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Heidi Rossetti
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| |
Collapse
|
12
|
Zhou B, Zhao Q, Kojima S, Ding D, Higashide S, Fukushima M, Hong Z. Early Detection of Dementia using Risk Classification in MCI: Outcomes of Shanghai Mild Cognitive Impairment Cohort Study. Curr Alzheimer Res 2023; 20:431-439. [PMID: 37711110 DOI: 10.2174/1567205020666230914161034] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 07/27/2023] [Accepted: 08/07/2023] [Indexed: 09/16/2023]
Abstract
INTRODUCTION The purpose of this study is to identify the risk factors and risk classification associated with the conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD) dementia to facilitate early intervention and the design of clinical trials for AD. METHODS The study comprised a prospective cohort study of 400 subjects with MCI who had annual follow-ups for 3 years. RESULTS During an average follow-up period of 3.5 years, 109 subjects were diagnosed with all cause of dementia, of whom 104 subjects converted to Alzheimer's dementia and 5 subjects converted to other types of dementia. The cumulative conversion rate was 5.5% (95% CI: 3.4, 8.6), 16.3% (95% CI: 12.9, 21.1), and 31.0% (95% CI: 25.4, 36.5) in each of the first 3 follow-up years, respectively. The factors associated with a greater risk of conversion from MCI to AD included smoking status, ApoE4 carrier status, right hippocampal volume (rt. HV), left temporal lobe volume, and scores on the Revised Chinese version of the Alzheimer's Disease Assessment Scale-Cognitive Subscale 13 (ADAS-Cog-C). The risk classification of the ADAS-Cog-C or Preclinical Alzheimer Cognitive Composite (PACC) score combined with the rt. HV showed a conversion difference among the groups at every annual follow-up. CONCLUSION A simple risk classification using the rt. HV and neuropsychological test scores, including those from the ADAS-Cog-C and PACC, could be a practicable and efficient approach to indentify individuals at risk of all-cause dementia.
Collapse
Affiliation(s)
- Bin Zhou
- Foundation of Learning Health Society Institute, Nagoya, Japan
| | - Qianhua Zhao
- Institute of Neurology, Huashan Hospital Fudan University, Shanghai, China
| | - Shinsuke Kojima
- Translational Research Informatics Center, Foundation for Biomedical Research and Innovation, Kobe, Japan
| | - Ding Ding
- Institute of Neurology, Huashan Hospital Fudan University, Shanghai, China
| | - Satoshi Higashide
- Translational Research Informatics Center, Foundation for Biomedical Research and Innovation, Kobe, Japan
| | | | - Zhen Hong
- Institute of Neurology, Huashan Hospital Fudan University, Shanghai, China
| |
Collapse
|
13
|
Sanderson-Cimino M, Elman JA, Tu XM, Gross AL, Panizzon MS, Gustavson DE, Bondi MW, Edmonds EC, Eppig JS, Franz CE, Jak AJ, Lyons MJ, Thomas KR, Williams ME, Kremen WS. Practice Effects in Mild Cognitive Impairment Increase Reversion Rates and Delay Detection of New Impairments. Front Aging Neurosci 2022; 14:847315. [PMID: 35547623 PMCID: PMC9083463 DOI: 10.3389/fnagi.2022.847315] [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: 01/02/2022] [Accepted: 03/21/2022] [Indexed: 01/27/2023] Open
Abstract
Objective Cognitive practice effects (PEs) can delay detection of progression from cognitively unimpaired to mild cognitive impairment (MCI). They also reduce diagnostic accuracy as suggested by biomarker positivity data. Even among those who decline, PEs can mask steeper declines by inflating cognitive scores. Within MCI samples, PEs may increase reversion rates and thus impede detection of further impairment. Within an MCI sample at baseline, we evaluated how PEs impact prevalence, reversion rates, and dementia progression after 1 year. Methods We examined 329 baseline Alzheimer's Disease Neuroimaging Initiative MCI participants (mean age = 73.1; SD = 7.4). We identified test-naïve participants who were demographically matched to returnees at their 1-year follow-up. Since the only major difference between groups was that one completed testing once and the other twice, comparison of scores in each group yielded PEs. PEs were subtracted from each test to yield PE-adjusted scores. Biomarkers included cerebrospinal fluid phosphorylated tau and amyloid beta. Cox proportional models predicted time until first dementia diagnosis using PE-unadjusted and PE-adjusted diagnoses. Results Accounting for PEs increased MCI prevalence at follow-up by 9.2% (272 vs. 249 MCI), and reduced reversion to normal by 28.8% (57 vs. 80 reverters). PEs also increased stability of single-domain MCI by 12.0% (164 vs. 147). Compared to PE-unadjusted diagnoses, use of PE-adjusted follow-up diagnoses led to a twofold increase in hazard ratios for incident dementia. We classified individuals as false reverters if they reverted to cognitively unimpaired status based on PE-unadjusted scores, but remained classified as MCI cases after accounting for PEs. When amyloid and tau positivity were examined together, 72.2% of these false reverters were positive for at least one biomarker. Interpretation Even when PEs are small, they can meaningfully change whether some individuals with MCI retain the diagnosis at a 1-year follow-up. Accounting for PEs resulted in increased MCI prevalence and altered stability/reversion rates. This improved diagnostic accuracy also increased the dementia-predicting ability of MCI diagnoses.
Collapse
Affiliation(s)
- Mark Sanderson-Cimino
- University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego State University, San Diego, CA, United States,Center for Behavior Genetics of Aging, University of California, San Diego, San Diego, CA, United States,*Correspondence: Mark Sanderson-Cimino,
| | - Jeremy A. Elman
- Center for Behavior Genetics of Aging, University of California, San Diego, San Diego, CA, United States,Department of Psychiatry, School of Medicine, University of California, San Diego, San Diego, CA, United States
| | - Xin M. Tu
- Department of Psychiatry, School of Medicine, University of California, San Diego, San Diego, CA, United States,Department of Family Medicine and Public Health, University of California, San Diego, San Diego, CA, United States,Sam and Rose Stein Institute for Research on Aging, University of California, San Diego, San Diego, CA, United States
| | - Alden L. Gross
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MA, United States
| | - Matthew S. Panizzon
- Center for Behavior Genetics of Aging, University of California, San Diego, San Diego, CA, United States,Department of Psychiatry, School of Medicine, University of California, San Diego, San Diego, CA, United States
| | - Daniel E. Gustavson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Mark W. Bondi
- Department of Psychiatry, School of Medicine, University of California, San Diego, San Diego, CA, United States,Psychology Service, VA San Diego Healthcare System, San Diego, CA, United States
| | - Emily C. Edmonds
- Department of Psychiatry, School of Medicine, University of California, San Diego, San Diego, CA, United States,Research Service, VA San Diego Healthcare System, San Diego, CA, United States
| | - Joel S. Eppig
- Rehabilitation Institute of Washington, Seattle, WA, United States
| | - Carol E. Franz
- Center for Behavior Genetics of Aging, University of California, San Diego, San Diego, CA, United States,Department of Psychiatry, School of Medicine, University of California, San Diego, San Diego, CA, United States
| | - Amy J. Jak
- Center for Behavior Genetics of Aging, University of California, San Diego, San Diego, CA, United States,Center of Excellence for Stress and Mental Health, Veterans Affairs San Diego Healthcare System, San Diego, CA, United States
| | - Michael J. Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, United States
| | - Kelsey R. Thomas
- Department of Psychiatry, School of Medicine, University of California, San Diego, San Diego, CA, United States,Research Service, VA San Diego Healthcare System, San Diego, CA, United States
| | - McKenna E. Williams
- University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego State University, San Diego, CA, United States,Center for Behavior Genetics of Aging, University of California, San Diego, San Diego, CA, United States
| | - William S. Kremen
- Center for Behavior Genetics of Aging, University of California, San Diego, San Diego, CA, United States,Department of Psychiatry, School of Medicine, University of California, San Diego, San Diego, CA, United States,Center of Excellence for Stress and Mental Health, Veterans Affairs San Diego Healthcare System, San Diego, CA, United States
| |
Collapse
|
14
|
Arce Rentería M, Manly JJ, Vonk JM, Mejia Arango S, Michaels Obregon A, Samper-Ternent R, Wong R, Barral S, Tosto G. Midlife Vascular Factors and Prevalence of Mild Cognitive Impairment in Late-Life in Mexico. J Int Neuropsychol Soc 2022; 28:351-361. [PMID: 34376262 PMCID: PMC8831650 DOI: 10.1017/s1355617721000539] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To estimate the prevalence of mild cognitive impairment (MCI) and its subtypes and investigate the impact of midlife cardiovascular risk factors on late-life MCI among the aging Mexican population. METHOD Analyses included a sample of non-demented adults over the age of 55 living in both urban and rural areas of Mexico (N = 1807). MCI diagnosis was assigned based on a comprehensive cognitive assessment assessing the domains of memory, executive functioning, language, and visuospatial ability. The normative sample was selected by means of the robust norms approach. Cognitive impairment was defined by a 1.5-SD cut-off per cognitive domain using normative corrections for age, years of education, and sex. Risk factors included age, education, sex, rurality, depression, insurance status, workforce status, hypertension, diabetes, stroke, and heart disease. RESULTS The prevalence of amnestic MCI was 5.9%. Other MCI subtypes ranged from 4.2% to 7.7%. MCI with and without memory impairment was associated with older age (OR = 1.01 [1.01, 1.05]; OR = 1.03 [1.01, 1.04], respectively) and residing in rural areas (OR = 1.49 [1.08, 2.06]; OR = 1.35 [1.03, 1.77], respectively). Depression (OR = 1.07 [1.02, 1.12]), diabetes (OR = 1.37 [1.03, 1.82]), and years of education (OR = 0.94 [0.91, 0.97]) were associated with MCI without memory impairment. Midlife CVD increased the odds of MCI in late-life (OR = 1.76 [1.19, 2.59], which was driven by both midlife hypertension and diabetes (OR = 1.70 [1.18, 2.44]; OR = 1.88 [1.19, 2.97], respectively). CONCLUSIONS Older age, depression, low education, rurality, and midlife hypertension and diabetes were associated with higher risk of late-life MCI among older adults in Mexico. Our findings suggest that the causes of cognitive impairment are multifactorial and vary by MCI subtype.
Collapse
Affiliation(s)
- Miguel Arce Rentería
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Department of Neurology, Columbia University College of Physicians and Surgeons, New York City, NY, USA
| | - Jennifer J. Manly
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Department of Neurology, Columbia University College of Physicians and Surgeons, New York City, NY, USA
| | - Jet M.J. Vonk
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Department of Neurology, Columbia University College of Physicians and Surgeons, New York City, NY, USA
- Julius Center for Health Sciences and Primary Care, Department of Epidemiology, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Silvia Mejia Arango
- Department of Population Studies, El Colegio de la Frontera Norte, Tijuana, Baja California, Mexico
| | | | - Rafael Samper-Ternent
- Sealy Center on Aging, University of Texas Medical Branch at Galveston, Galveston, Texas, USA
- Department of Internal Medicine, University of Texas Medical Branch at Galveston, Galveston, TX, USA
| | - Rebeca Wong
- Sealy Center on Aging, University of Texas Medical Branch at Galveston, Galveston, Texas, USA
| | - Sandra Barral
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Department of Neurology, Columbia University College of Physicians and Surgeons, New York City, NY, USA
| | - Giuseppe Tosto
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Department of Neurology, Columbia University College of Physicians and Surgeons, New York City, NY, USA
| |
Collapse
|
15
|
Devlin KN, Brennan L, Saad L, Giovannetti T, Hamilton RH, Wolk DA, Xie SX, Mechanic-Hamilton D. Diagnosing Mild Cognitive Impairment Among Racially Diverse Older Adults: Comparison of Consensus, Actuarial, and Statistical Methods. J Alzheimers Dis 2021; 85:627-644. [PMID: 34864658 DOI: 10.3233/jad-210455] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Actuarial and statistical methods have been proposed as alternatives to conventional methods of diagnosing mild cognitive impairment (MCI), with the aim of enhancing diagnostic and prognostic validity, but have not been compared in racially diverse samples. OBJECTIVE We compared the agreement of consensus, actuarial, and statistical MCI diagnostic methods, and their relationship to race and prognostic indicators among diverse older adults. METHODS Participants (N = 354; M age = 71; 68% White, 29% Black) were diagnosed with MCI or normal cognition (NC) according to clinical consensus, actuarial neuropsychological criteria (Jak/Bondi), and latent class analysis (LCA). We examined associations with race/ethnicity, longitudinal cognitive and functional change, and incident dementia. RESULTS MCI rates by consensus, actuarial criteria, and LCA were 44%, 53%, and 41%, respectively. LCA identified three MCI subtypes (memory; memory/language; memory/executive) and two NC classes (low normal; high normal). Diagnostic agreement was substantial, but agreement of the actuarial method with consensus and LCA was weaker than the agreement between consensus and LCA. Among cases classified as MCI by actuarial criteria only, Black participants were over-represented, and outcomes were generally similar to those of NC participants. Consensus diagnoses best predicted longitudinal outcomes overall, whereas actuarial diagnoses best predicted longitudinal functional change among Black participants. CONCLUSION Consensus diagnoses optimize specificity in predicting dementia, but among Black older adults, actuarial diagnoses may be more sensitive to early signs of decline. Results highlight the need for cross-cultural validity in MCI diagnosis and should be explored in community- and population-based samples.
Collapse
Affiliation(s)
- Kathryn N Devlin
- Department of Psychology, Drexel University, Philadelphia, PA, USA
| | - Laura Brennan
- Department of Neurology, Thomas Jefferson University Hospital, Philadelphia, PA, USA
| | - Laura Saad
- Department of Psychology, Rutgers University, New Brunswick, NJ, USA
| | | | - Roy H Hamilton
- Alzheimer's Disease Research Center, University of Pennsylvania, Philadelphia, PA, USA.,Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - David A Wolk
- Alzheimer's Disease Research Center, University of Pennsylvania, Philadelphia, PA, USA.,Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Sharon X Xie
- Alzheimer's Disease Research Center, University of Pennsylvania, Philadelphia, PA, USA.,Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Dawn Mechanic-Hamilton
- Alzheimer's Disease Research Center, University of Pennsylvania, Philadelphia, PA, USA.,Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
16
|
Rotblatt LJ, Aiken-Morgan AT, Marsiske M, Horgas AL, Thomas KR. Do Associations Between Vascular Risk and Mild Cognitive Impairment Vary by Race? J Aging Health 2021; 35:898264320984357. [PMID: 33497299 PMCID: PMC8310897 DOI: 10.1177/0898264320984357] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Objectives: Given prevalence differences of mild cognitive impairment (MCI) among Black and white older adults, this study aimed to examine whether overall vascular risk factor (VRF) burden and individual VRF associations with amnestic (aMCI) and nonamnestic (naMCI) MCI status varied by Black/white race. Methods: Participants included 2755 older adults without dementia from the ACTIVE study. Comprehensive neuropsychological criteria were used to classify cognitively normal, aMCI, and naMCI. VRFs were primarily defined using subjective report and medication data. Multinomial logistic regression was run predicting MCI subtype. Results: Greater overall VRF burden, high cholesterol, and obesity evinced greater odds of naMCI in Black participants than whites. Across participants, diabetes and hypertension were associated with increased odds of aMCI and naMCI, respectively. Discussion: Results may reflect known systemic inequities on dimensions of social determinants of health for Black older adults. Continued efforts toward examining underlying mechanisms contributing to these findings are critical.
Collapse
Affiliation(s)
- Lindsay J. Rotblatt
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL
| | | | - Michael Marsiske
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL
| | - Ann L. Horgas
- Department of Biobehavioral Nursing Science, University of Florida, Gainesville, FL
| | - Kelsey R. Thomas
- Veterans Affairs San Diego Healthcare System, San Diego, CA
- Department of Psychiatry, University of California San Diego, La Jolla, CA
| |
Collapse
|