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Sheng Z, Kuang J, Yang L, Wang G, Gu C, Qi Y, Wang R, Han Y, Li J, Wang X. Predictive models for delay in medical decision-making among older patients with acute ischemic stroke: a comparative study using logistic regression analysis and lightGBM algorithm. BMC Public Health 2024; 24:1413. [PMID: 38802838 PMCID: PMC11129384 DOI: 10.1186/s12889-024-18855-6] [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: 01/21/2024] [Accepted: 05/14/2024] [Indexed: 05/29/2024] Open
Abstract
OBJECTIVE To explore the factors affecting delayed medical decision-making in older patients with acute ischemic stroke (AIS) using logistic regression analysis and the Light Gradient Boosting Machine (LightGBM) algorithm, and compare the two predictive models. METHODS A cross-sectional study was conducted among 309 older patients aged ≥ 60 who underwent AIS. Demographic characteristics, stroke onset characteristics, previous stroke knowledge level, health literacy, and social network were recorded. These data were separately inputted into logistic regression analysis and the LightGBM algorithm to build the predictive models for delay in medical decision-making among older patients with AIS. Five parameters of Accuracy, Recall, F1 Score, AUC and Precision were compared between the two models. RESULTS The medical decision-making delay rate in older patients with AIS was 74.76%. The factors affecting medical decision-making delay, identified through logistic regression and LightGBM algorithm, were as follows: stroke severity, stroke recognition, previous stroke knowledge, health literacy, social network (common factors), mode of onset (logistic regression model only), and reaction from others (LightGBM algorithm only). The LightGBM model demonstrated the more superior performance, achieving the higher AUC of 0.909. CONCLUSIONS This study used advanced LightGBM algorithm to enable early identification of delay in medical decision-making groups in the older patients with AIS. The identified influencing factors can provide critical insights for the development of early prevention and intervention strategies to reduce delay in medical decisions-making among older patients with AIS and promote patients' health. The LightGBM algorithm is the optimal model for predicting the delay in medical decision-making among older patients with AIS.
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Affiliation(s)
- Zhenwen Sheng
- Shandong Xiehe University, Jinan City, Shandong Province, China
| | - Jinke Kuang
- Shandong Xiehe University, Jinan City, Shandong Province, China
| | - Li Yang
- Qingdao University, Qingdao City, Shandong Province, China.
| | - Guiyun Wang
- Shandong Xiehe University, Jinan City, Shandong Province, China
| | - Cuihong Gu
- Shandong Xiehe University, Jinan City, Shandong Province, China
| | - Yanxia Qi
- Shandong Xiehe University, Jinan City, Shandong Province, China
| | - Ruowei Wang
- Shandong Xiehe University, Jinan City, Shandong Province, China
| | - Yuehua Han
- Shandong Xiehe University, Jinan City, Shandong Province, China
| | - Jiaojiao Li
- Shandong Xiehe University, Jinan City, Shandong Province, China
| | - Xia Wang
- Qilu Hospital of Shandong University, Jinan City, Shandong Province, China
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Vittengl JR. Low household income, financial literacy, or financial health: Which is the strongest risk factor and outcome of depressive symptomatology? J Affect Disord 2024; 344:18-24. [PMID: 37820953 DOI: 10.1016/j.jad.2023.10.019] [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: 06/07/2023] [Revised: 09/04/2023] [Accepted: 10/08/2023] [Indexed: 10/13/2023]
Abstract
BACKGROUND Depression's relations to psychosocial processes are complex, bidirectional, and include financial functioning. The current study compared the extent to which household income, financial literacy (knowledge and skill), and financial health (saving, spending, borrowing, and planning behavior) were risk factors and outcomes of depression. METHODS A United States national sample of working-aged adults (N = 6565) completed self-report measures of financial functioning and depression in years 2020 and 2022. Depression scales assessed both negative (depressive symptoms) and positive (life satisfaction) affective dimensions. RESULTS Lower income, less financial literacy, and especially poorer financial health correlated significantly with more depressive symptoms and lower life satisfaction. Poorer financial health demonstrated the strongest prospective relations with increasing depressive symptoms and decreasing life satisfaction over the two-year retest interval. In parallel, higher depressive symptoms and lower life satisfaction each predicted subsequent decreases in financial health. LIMITATIONS Results from this longitudinal, observational study suggested but could not establish causal connections between depression and financial functioning. The study's novel results require replication before clinical application. CONCLUSIONS More so than low income or limited financial literacy, poor financial health is both a risk factor and potential outcome of depression, including more depressive symptoms and lower life satisfaction. If these findings are replicated, financial health may be an important research and clinical target for depression assessment, prevention, and treatment.
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Affiliation(s)
- Jeffrey R Vittengl
- Department of Psychology, Truman State University, 100 E. Normal St., Kirksville, MO 63501, USA.
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Luo X, Hong H, Li K, Zeng Q, Liu X, Hong L, Li J, Zhang X, Zhong S, Xu X, Chen Y, Zhang M, Huang P. Association Between Small Vessel Disease and Financial Capacity: A Study Based on Cognitively Normal Older Adults. J Alzheimers Dis 2024; 98:897-906. [PMID: 38461505 DOI: 10.3233/jad-231089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Background Financial capacity is vital for the elderly, who possess a substantial share of global wealth but are vulnerable to financial fraud. Objective We explored the link between small vessel disease (SVD) and financial capacity in cognitively unimpaired (CU) older adults via both cross-sectional and longitudinal analyses. Methods 414 CU participants underwent MRI and completed the Financial Capacity Instrument-Short Form (FCI-SF). Subsequent longitudinal FCI-SF data were obtained from 104, 240, and 141 participants at one, two, and four years, respectively. SVD imaging markers, encompassing white matter hyperintensities (WMH), cerebral microbleeds (CMB), and lacune were evaluated. We used linear regression analyses to cross-sectionally explore the association between FCI-SF and SVD severity, and linear mixed models to assess how baseline SVD severity impacted longitudinal FCI-SF change. The false discovery rate method was used to adjust multiple comparisons. Results Cross-sectional analysis revealed a significant association between baseline WMH and Bank Statement (BANK, β=-0.194), as well as between lacune number and Financial Conceptual Knowledge (FC, β= -0.171). These associations were stronger in APOE ɛ4 carriers, with β= -0.282 for WMH and BANK, and β= -0.366 for lacune number and FC. Longitudinally, higher baseline SVD total score was associated with severe FCI-SF total score decrease (β= -0.335). Additionally, baseline WMH burden predicted future decreases in Single Checkbook/Register Task (SNG, β= -0.137) and FC (β= -0.052). Notably, the association between baseline WMH and SNG changes was amplified in APOE ɛ4 carriers (β= -0.187). Conclusions Severe SVD was associated with worse FCI-SF and could predict the decline of financial capacity in CU older adults.
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Affiliation(s)
- Xiao Luo
- Department of Radiology,The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Hui Hong
- Department of Radiology,The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
- Department of Clinical Neurosciences, Cambridge Biomedical Campus, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Kaicheng Li
- Department of Radiology,The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Qingze Zeng
- Department of Radiology,The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaocao Liu
- Department of Radiology,The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Luwei Hong
- Department of Radiology,The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Jixuan Li
- Department of Radiology,The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Xinyi Zhang
- Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Siyan Zhong
- Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaopei Xu
- Department of Radiology,The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yanxing Chen
- Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Minming Zhang
- Department of Radiology,The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology,The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
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Wilson RS, Yu L, Stewart CC, Bennett DA, Boyle PA. Change in Decision-Making Analysis and Preferences in Old Age. J Gerontol B Psychol Sci Soc Sci 2023; 78:1659-1667. [PMID: 36856705 PMCID: PMC10561891 DOI: 10.1093/geronb/gbad037] [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: 02/22/2022] [Indexed: 03/02/2023] Open
Abstract
OBJECTIVES To test the hypotheses that decision making ability declines in old age and that a higher level of cognitive reserve is associated with a reduced rate of decline. METHODS As part of an ongoing cohort study, 982 older adults without dementia at study enrollment completed measures of purpose in life and cognitive activity which were used as markers of cognitive reserve. At annual intervals thereafter, they completed 6 tests of decision making. RESULTS In a factor analysis of baseline decision making scores, 3 measures (financial/health literacy, financial/health decision making, scam susceptibility) loaded on an "analytic" factor and 3 (temporal discounting small stakes, temporal discounting large stakes, risk aversion) loaded on a "preferences" (for temporal discounting and avoiding risk) factor. During a mean of 4.7 years of follow-up (standard deviation = 2.9), analytic factor scores decreased (mean = 0.042-unit per year, standard error [SE] = 0.006, p < .001) and preferences factor scores increased (mean = 0.021-unit per year, SE = 0.006, p < .001), with a correlation of 0.13 (p < .001) between rates of change. Evidence of an association between cognitive reserve and decision making was mixed with purpose in life related to change in analytic decision making, whereas past (but not current) cognitive activity was related to change in decision making preferences. DISCUSSION Decision making analysis and preferences change over time in late life. Change over time in decision making components is relatively independent and differentially related to age and cognitive reserve.
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Affiliation(s)
- Robert S Wilson
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - Lei Yu
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - Christopher C Stewart
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - David A Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - Patricia A Boyle
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, Illinois, USA
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Gerstenecker A, Kennedy R, Zhang Y, Martin RC, Mackin RS, Weiner MW, Howell T, Petersen RC, Roberson ED, Marson DC. Item Response Analysis of the Financial Capacity Instrument-Short Form. Arch Clin Neuropsychol 2023; 38:739-758. [PMID: 36644855 PMCID: PMC10369359 DOI: 10.1093/arclin/acac112] [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] [Accepted: 12/29/2022] [Indexed: 06/17/2023] Open
Abstract
OBJECTIVE The Financial Capacity Instrument-Short Form (FCI-SF) is a performance-based measure of everyday financial skills that takes 15 min to administer. Although the FCI-SF has demonstrated excellent psychometric properties, advanced psychometric methods such as item response theory (IRT) can provide important information on the performance of individual test items in measuring financial capacity and in distinguishing between healthy and cognitively impaired individuals. METHOD Participants were 272 older adults diagnosed with mild cognitive impairment (MCI) and 1,344 cognitively healthy controls recruited from the Mayo Clinic Study of Aging at the Mayo Clinic in Rochester, Minnesota and also from the Cognitive Observations in Seniors study at the University of Alabama at Birmingham. Participants in each study were administered the FCI-SF, which evaluates coin/currency calculation, financial conceptual knowledge, use of a checkbook/register, and use of a bank statement. RESULTS A unidimensional two-parameter logistic model best fit the 37 FCI-SF Test items, and most FCI-SF items fit the unidimensional two-parameter model well. The results indicated that all FCI-SF items robustly distinguished cognitively healthy controls from persons with MCI. CONCLUSIONS The study results showed that the FCI-SF performed well under IRT analysis, further highlighted the psychometric properties of the FCI-SF as a valid and reliable measure of financial capacity, and demonstrated the clinical utility of the FCI-SF in distinguishing between cognitively normal and cognitively impaired individuals.
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Affiliation(s)
- Adam Gerstenecker
- Department of Neurology, University of Alabama at Birmingham, San Francisco, CA, USA
- Alzheimer’s Disease Center, University of Alabama at Birmingham, San Francisco, CA, USA
- Evelyn F. McKnight Brain Institute, University of Alabama at Birmingham, San Francisco, CA, USA
| | - Richard Kennedy
- Alzheimer’s Disease Center, University of Alabama at Birmingham, San Francisco, CA, USA
- Evelyn F. McKnight Brain Institute, University of Alabama at Birmingham, San Francisco, CA, USA
- Division of Gerontology, Geriatrics, and Palliative Care, Department of Medicine, University of Alabama at Birmingham, San Francisco, CA, USA
- Interdisciplinary Center for Aging Research, University of Alabama at Birmingham, San Francisco, CA, USA
| | - Yue Zhang
- Division of Gerontology, Geriatrics, and Palliative Care, Department of Medicine, University of Alabama at Birmingham, San Francisco, CA, USA
| | - Roy C Martin
- Department of Neurology, University of Alabama at Birmingham, San Francisco, CA, USA
- Alzheimer’s Disease Center, University of Alabama at Birmingham, San Francisco, CA, USA
- Evelyn F. McKnight Brain Institute, University of Alabama at Birmingham, San Francisco, CA, USA
| | - R Scott Mackin
- Department of Psychiatry, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
- San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA
| | - Michael W Weiner
- San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Taylor Howell
- Department of Psychiatry, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | | | - Erik D Roberson
- Department of Neurology, University of Alabama at Birmingham, San Francisco, CA, USA
- Alzheimer’s Disease Center, University of Alabama at Birmingham, San Francisco, CA, USA
- Evelyn F. McKnight Brain Institute, University of Alabama at Birmingham, San Francisco, CA, USA
- Interdisciplinary Center for Aging Research, University of Alabama at Birmingham, San Francisco, CA, USA
| | - Daniel C Marson
- Department of Neurology, University of Alabama at Birmingham, San Francisco, CA, USA
- Alzheimer’s Disease Center, University of Alabama at Birmingham, San Francisco, CA, USA
- Evelyn F. McKnight Brain Institute, University of Alabama at Birmingham, San Francisco, CA, USA
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Owsley KM, Langa KM, Macis M, Nicholas LH. Treatment preferences among adults with normal cognition and cognitive impairment. J Am Geriatr Soc 2022; 70:3390-3401. [PMID: 36094330 PMCID: PMC9772047 DOI: 10.1111/jgs.18032] [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: 02/07/2022] [Revised: 07/22/2022] [Accepted: 08/14/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Although patient participation in treatment decisions is important for preference-concordant care delivery, it is largely unknown how cognitive impairment influences treatment preferences. We investigated whether treatment preferences for the care of serious illness differ between adults with and without cognitive impairment in hypothetical clinical scenarios. METHODS Data from the 2018 Health and Retirement Study were used. The sample included 1291 self-respondents (201 respondents with cognitive impairment, and 1090 with normal cognition). We examined treatment preferences for life-extending, limited, and comfort care options in two hypothetical clinical scenarios where the respondent imagines a patient with (1) good physical health with severe cognitive impairment consistent with dementia; and (2) with physical impairment due to a heart attack, but normal cognition. Respondents specified whether they were unsure, or if they would want or not want each treatment option. Linear probability models were used to compare treatment preferences by cognitive status. RESULTS Respondents with cognitive impairment were more likely to report that they were unsure about treatment options across both clinical scenarios compared to those with normal cognition. For the limited treatment option, cognitive impairment was associated with a lower rate of expressing a treatment preference by 7.3 (p = 0.070) and 8.5 (p = 0.035) percentage points for dementia and heart attack scenarios, respectively. Among those who articulated preferences, cognitive impairment was associated with a higher rate of preference for life-extending treatment in both dementia (30.1% vs. 20.0%, p = 0.044) and heart attack scenarios (30.0% vs. 20.2%, p = 0.033). CONCLUSIONS Compared to those with normal cognition, cognitive impairment was associated with greater uncertainty about treatment preferences and higher rates of aggressive care preferences among those who specified preferences. Further research should assess whether preferences for aggressive care become more common as cognition declines in order to improve preference-concordant care delivery for patients with cognitive impairment.
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Affiliation(s)
- Kelsey M Owsley
- Department of Health Policy and Management, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Kenneth M Langa
- University of Michigan Institute for Social Research, Ann Arbor, Michigan, USA
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
- Veterans Affairs Ann Arbor Center for Clinical Management Research, Ann Arbor, Michigan, USA
| | - Mario Macis
- Johns Hopkins Carey Business School, Baltimore, Maryland, USA
- Johns Hopkins Berman Institute of Bioethics, Baltimore, Maryland, USA
| | - Lauren Hersch Nicholas
- Department of Health Systems, Management and Policy, Colorado School of Public Health, Aurora, Colorado, USA
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7
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The impact of mild cognitive impairment on decision-making under explicit risk conditions: Evidence from the Personality and Total Health (PATH) Through Life longitudinal study. J Int Neuropsychol Soc 2022:1-11. [PMID: 36325634 DOI: 10.1017/s1355617722000765] [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: 11/06/2022]
Abstract
OBJECTIVE Previous research has indicated that cognition and executive function are associated with decision-making, however the impact of mild cognitive impairment (MCI) on decision-making under explicit risk conditions is unclear. This cross-sectional study examined the impact of MCI, and MCI subtypes, on decision-making on the Game of Dice Task (GDT), among a cohort of older adults. METHOD Data from 245 older adult participants (aged 72-78 years) from the fourth assessment of the Personality and Total Health Through Life study were analyzed. A diagnostic algorithm identified 103 participants with MCI, with subtypes of single-domain amnestic MCI (aMCI-single; n = 38), multi-domain amnestic MCI (aMCI-multi; n = 31), and non-amnestic MCI (n = 33), who were compared with an age-, sex-, education-, and income-matched sample of 142 cognitively unimpaired older adults. Decision-making scores on the GDT (net score, single number choices, and strategy changes) were compared between groups using nonparametric tests. RESULTS Participants with MCI showed impaired performance on the GDT, with higher frequencies of single number choices and strategy changes. Analyses comparing MCI subtypes indicated that the aMCI-multi subtype showed increased frequency of single number choices compared to cognitively unimpaired participants. Across the sample of participants, decision-making scores were associated with measures of executive function (cognitive flexibility and set shifting). CONCLUSION MCI is associated with impaired decision-making performance under explicit risk conditions. Participants with impairments in multiple domains of cognition showed the clearest impairments. The GDT may have utility in discriminating between MCI subtypes.
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Harris KL, Mason SL, Barker RA. Exploring the predictors of financial impairment in Huntington's disease using the Enroll-HD dataset. J Neurol 2022; 269:3501-3510. [PMID: 35165768 PMCID: PMC9217841 DOI: 10.1007/s00415-021-10929-4] [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: 09/22/2021] [Revised: 12/01/2021] [Accepted: 12/02/2021] [Indexed: 11/13/2022]
Abstract
OBJECTIVES Huntington's disease (HD) is a neurodegenerative disease in which cognitive and behavioural symptoms impair the performance of instrumental activities of daily living, including the handling of finances. We sought to determine the prevalence of financial dysfunction in HD, and the demographic and clinical predictors of such impairments. METHODS We analysed longitudinal data for pre-manifest gene carriers and HD patients from the Enroll-HD dataset. Financial dysfunction was determined by finance-related items in the Total Functional Capacity (TFC) and Functional Assessment (FA) scales. A binary logistical regression model was used to investigate the predictive value of demographic and clinical factors for the development of financial dysfunction. RESULTS Financial impairment was found to be common in HD gene carriers, and over half required financial assistance within 5 years from diagnosis. Cognitive impairment, apathy, unemployment and disease severity predicted financial dysfunction in manifest patients. For pre-manifest patients, the predictors were proximity to disease onset and depression. CONCLUSIONS Loss of financial autonomy is common in HD, and cognitive and psychiatric factors are important in its development. Clinicians must be vigilant to identify patients that may be vulnerable to financial exploitation.
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Affiliation(s)
- Kate L Harris
- Department of Neurology, University of California San Francisco, San Francisco, United States.
| | - Sarah L Mason
- Department of Clinical Neurosciences, John Van Geest Centre for Brain Repair, E.D. Adrian Building, Forvie Site, Robinson Way, Cambridge, CB2 0PY, UK
| | - Roger A Barker
- Department of Clinical Neurosciences, John Van Geest Centre for Brain Repair, E.D. Adrian Building, Forvie Site, Robinson Way, Cambridge, CB2 0PY, UK.,MRC-WT Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
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9
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Vassilaki M, Aakre JA, Kremers WK, Mielke MM, Geda YE, Machulda MM, Knopman DS, Vemuri P, Lowe VJ, Jack CR, Roberson ED, Gerstenecker A, Martin RC, Kennedy RE, Marson DC, Petersen RC. Association of Performance on the Financial Capacity Instrument-Short Form With Brain Amyloid Load and Cortical Thickness in Older Adults. Neurol Clin Pract 2022; 12:113-124. [PMID: 35747890 PMCID: PMC9208409 DOI: 10.1212/cpj.0000000000001157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background and Objectives To investigate the association of the Financial Capacity Instrument-Short Form (FCI-SF) performance and timing total scores with brain β-amyloid and cortical thickness in cognitively unimpaired (CU) (at baseline) older adults. Methods A total of 309 participants (aged 70 years or older) of the Mayo Clinic Study of Aging underwent 11C-Pittsburgh compound B PET amyloid imaging and MRI, and completed the FCI-SF. Abnormal amyloid PET was defined as standardized uptake value ratio ≥1.48 in an Alzheimer disease (AD)-related region of interest and reduced AD signature cortical thickness as ≤2.68 mm (neurodegeneration). A cohort of 218 (of the 309) participants had follow-up visits (every 15 months) with FCI-SF data for longitudinal analysis (number of visits including baseline, median [range]: 2 [2-4]). In the analysis, we used linear regression and mixed-effects models adjusted for age, sex, education, apolipoprotein E ε4 allele status, global cognitive z score, and previous FCI-SF testing. Results Participants' mean age (SD) was 80.2 (4.8) years (56.3% male individuals). In cross-sectional analysis, abnormal amyloid PET (vs normal) was associated with a lower FCI-SF total score and slower total composite time. In longitudinal analysis, FCI-SF total score declined faster (difference in annualized rate of change, beta coefficient [β] [95% confidence interval (CI)] = -1.123 [-2.086 to -0.161]) and FCI-SF total composite time increased faster (difference in annualized rate of change, β [95% CI] = 16.274 [5.951 to 26.597]) for participants with neurodegeneration at baseline (vs those without). Participants who exhibited both abnormal amyloid PET and neurodegeneration at baseline had a greater increase in total composite time when compared with the group without abnormal amyloid and without neurodegeneration (difference in annualized rate of change, β [95% CI] = 16.750 [3.193 to 30.307]). Discussion Performance and processing speed on the FCI-SF were associated with imaging biomarkers of AD pathophysiology in CU (at baseline) older adults. Higher burdens of imaging biomarkers were associated with longitudinal worsening on FCI-SF performance. Additional research is needed to delineate further these associations and their predictive utility at the individual person level.
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Affiliation(s)
- Maria Vassilaki
- Department of Quantitative Health Sciences (MV, JAA, WKK, M.M. Mielke, RCP), and Department of Neurology (M.M. Mielke, DSK, RCP), Mayo Clinic, Rochester, MN; Department of Neurology (YEG), Barrow Neurological Institute, Phoenix, AZ; Department of Psychiatry and Psychology (M.M. Machulda), and Department of Radiology (PV, VJL, CRJ), Mayo Clinic, Rochester, MN; Department of Neurology (EDR, AG, RCM, DCM), Department of Medicine (REK), and Alzheimer's Disease Center (DCM), University of Alabama at Birmingham
| | - Jeremiah A Aakre
- Department of Quantitative Health Sciences (MV, JAA, WKK, M.M. Mielke, RCP), and Department of Neurology (M.M. Mielke, DSK, RCP), Mayo Clinic, Rochester, MN; Department of Neurology (YEG), Barrow Neurological Institute, Phoenix, AZ; Department of Psychiatry and Psychology (M.M. Machulda), and Department of Radiology (PV, VJL, CRJ), Mayo Clinic, Rochester, MN; Department of Neurology (EDR, AG, RCM, DCM), Department of Medicine (REK), and Alzheimer's Disease Center (DCM), University of Alabama at Birmingham
| | - Walter K Kremers
- Department of Quantitative Health Sciences (MV, JAA, WKK, M.M. Mielke, RCP), and Department of Neurology (M.M. Mielke, DSK, RCP), Mayo Clinic, Rochester, MN; Department of Neurology (YEG), Barrow Neurological Institute, Phoenix, AZ; Department of Psychiatry and Psychology (M.M. Machulda), and Department of Radiology (PV, VJL, CRJ), Mayo Clinic, Rochester, MN; Department of Neurology (EDR, AG, RCM, DCM), Department of Medicine (REK), and Alzheimer's Disease Center (DCM), University of Alabama at Birmingham
| | - Michelle M Mielke
- Department of Quantitative Health Sciences (MV, JAA, WKK, M.M. Mielke, RCP), and Department of Neurology (M.M. Mielke, DSK, RCP), Mayo Clinic, Rochester, MN; Department of Neurology (YEG), Barrow Neurological Institute, Phoenix, AZ; Department of Psychiatry and Psychology (M.M. Machulda), and Department of Radiology (PV, VJL, CRJ), Mayo Clinic, Rochester, MN; Department of Neurology (EDR, AG, RCM, DCM), Department of Medicine (REK), and Alzheimer's Disease Center (DCM), University of Alabama at Birmingham
| | - Yonas E Geda
- Department of Quantitative Health Sciences (MV, JAA, WKK, M.M. Mielke, RCP), and Department of Neurology (M.M. Mielke, DSK, RCP), Mayo Clinic, Rochester, MN; Department of Neurology (YEG), Barrow Neurological Institute, Phoenix, AZ; Department of Psychiatry and Psychology (M.M. Machulda), and Department of Radiology (PV, VJL, CRJ), Mayo Clinic, Rochester, MN; Department of Neurology (EDR, AG, RCM, DCM), Department of Medicine (REK), and Alzheimer's Disease Center (DCM), University of Alabama at Birmingham
| | - Mary M Machulda
- Department of Quantitative Health Sciences (MV, JAA, WKK, M.M. Mielke, RCP), and Department of Neurology (M.M. Mielke, DSK, RCP), Mayo Clinic, Rochester, MN; Department of Neurology (YEG), Barrow Neurological Institute, Phoenix, AZ; Department of Psychiatry and Psychology (M.M. Machulda), and Department of Radiology (PV, VJL, CRJ), Mayo Clinic, Rochester, MN; Department of Neurology (EDR, AG, RCM, DCM), Department of Medicine (REK), and Alzheimer's Disease Center (DCM), University of Alabama at Birmingham
| | - David S Knopman
- Department of Quantitative Health Sciences (MV, JAA, WKK, M.M. Mielke, RCP), and Department of Neurology (M.M. Mielke, DSK, RCP), Mayo Clinic, Rochester, MN; Department of Neurology (YEG), Barrow Neurological Institute, Phoenix, AZ; Department of Psychiatry and Psychology (M.M. Machulda), and Department of Radiology (PV, VJL, CRJ), Mayo Clinic, Rochester, MN; Department of Neurology (EDR, AG, RCM, DCM), Department of Medicine (REK), and Alzheimer's Disease Center (DCM), University of Alabama at Birmingham
| | - Prashanthi Vemuri
- Department of Quantitative Health Sciences (MV, JAA, WKK, M.M. Mielke, RCP), and Department of Neurology (M.M. Mielke, DSK, RCP), Mayo Clinic, Rochester, MN; Department of Neurology (YEG), Barrow Neurological Institute, Phoenix, AZ; Department of Psychiatry and Psychology (M.M. Machulda), and Department of Radiology (PV, VJL, CRJ), Mayo Clinic, Rochester, MN; Department of Neurology (EDR, AG, RCM, DCM), Department of Medicine (REK), and Alzheimer's Disease Center (DCM), University of Alabama at Birmingham
| | - Val J Lowe
- Department of Quantitative Health Sciences (MV, JAA, WKK, M.M. Mielke, RCP), and Department of Neurology (M.M. Mielke, DSK, RCP), Mayo Clinic, Rochester, MN; Department of Neurology (YEG), Barrow Neurological Institute, Phoenix, AZ; Department of Psychiatry and Psychology (M.M. Machulda), and Department of Radiology (PV, VJL, CRJ), Mayo Clinic, Rochester, MN; Department of Neurology (EDR, AG, RCM, DCM), Department of Medicine (REK), and Alzheimer's Disease Center (DCM), University of Alabama at Birmingham
| | - Clifford R Jack
- Department of Quantitative Health Sciences (MV, JAA, WKK, M.M. Mielke, RCP), and Department of Neurology (M.M. Mielke, DSK, RCP), Mayo Clinic, Rochester, MN; Department of Neurology (YEG), Barrow Neurological Institute, Phoenix, AZ; Department of Psychiatry and Psychology (M.M. Machulda), and Department of Radiology (PV, VJL, CRJ), Mayo Clinic, Rochester, MN; Department of Neurology (EDR, AG, RCM, DCM), Department of Medicine (REK), and Alzheimer's Disease Center (DCM), University of Alabama at Birmingham
| | - Erik D Roberson
- Department of Quantitative Health Sciences (MV, JAA, WKK, M.M. Mielke, RCP), and Department of Neurology (M.M. Mielke, DSK, RCP), Mayo Clinic, Rochester, MN; Department of Neurology (YEG), Barrow Neurological Institute, Phoenix, AZ; Department of Psychiatry and Psychology (M.M. Machulda), and Department of Radiology (PV, VJL, CRJ), Mayo Clinic, Rochester, MN; Department of Neurology (EDR, AG, RCM, DCM), Department of Medicine (REK), and Alzheimer's Disease Center (DCM), University of Alabama at Birmingham
| | - Adam Gerstenecker
- Department of Quantitative Health Sciences (MV, JAA, WKK, M.M. Mielke, RCP), and Department of Neurology (M.M. Mielke, DSK, RCP), Mayo Clinic, Rochester, MN; Department of Neurology (YEG), Barrow Neurological Institute, Phoenix, AZ; Department of Psychiatry and Psychology (M.M. Machulda), and Department of Radiology (PV, VJL, CRJ), Mayo Clinic, Rochester, MN; Department of Neurology (EDR, AG, RCM, DCM), Department of Medicine (REK), and Alzheimer's Disease Center (DCM), University of Alabama at Birmingham
| | - Roy C Martin
- Department of Quantitative Health Sciences (MV, JAA, WKK, M.M. Mielke, RCP), and Department of Neurology (M.M. Mielke, DSK, RCP), Mayo Clinic, Rochester, MN; Department of Neurology (YEG), Barrow Neurological Institute, Phoenix, AZ; Department of Psychiatry and Psychology (M.M. Machulda), and Department of Radiology (PV, VJL, CRJ), Mayo Clinic, Rochester, MN; Department of Neurology (EDR, AG, RCM, DCM), Department of Medicine (REK), and Alzheimer's Disease Center (DCM), University of Alabama at Birmingham
| | - Richard E Kennedy
- Department of Quantitative Health Sciences (MV, JAA, WKK, M.M. Mielke, RCP), and Department of Neurology (M.M. Mielke, DSK, RCP), Mayo Clinic, Rochester, MN; Department of Neurology (YEG), Barrow Neurological Institute, Phoenix, AZ; Department of Psychiatry and Psychology (M.M. Machulda), and Department of Radiology (PV, VJL, CRJ), Mayo Clinic, Rochester, MN; Department of Neurology (EDR, AG, RCM, DCM), Department of Medicine (REK), and Alzheimer's Disease Center (DCM), University of Alabama at Birmingham
| | - Daniel C Marson
- Department of Quantitative Health Sciences (MV, JAA, WKK, M.M. Mielke, RCP), and Department of Neurology (M.M. Mielke, DSK, RCP), Mayo Clinic, Rochester, MN; Department of Neurology (YEG), Barrow Neurological Institute, Phoenix, AZ; Department of Psychiatry and Psychology (M.M. Machulda), and Department of Radiology (PV, VJL, CRJ), Mayo Clinic, Rochester, MN; Department of Neurology (EDR, AG, RCM, DCM), Department of Medicine (REK), and Alzheimer's Disease Center (DCM), University of Alabama at Birmingham
| | - Ronald C Petersen
- Department of Quantitative Health Sciences (MV, JAA, WKK, M.M. Mielke, RCP), and Department of Neurology (M.M. Mielke, DSK, RCP), Mayo Clinic, Rochester, MN; Department of Neurology (YEG), Barrow Neurological Institute, Phoenix, AZ; Department of Psychiatry and Psychology (M.M. Machulda), and Department of Radiology (PV, VJL, CRJ), Mayo Clinic, Rochester, MN; Department of Neurology (EDR, AG, RCM, DCM), Department of Medicine (REK), and Alzheimer's Disease Center (DCM), University of Alabama at Birmingham
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10
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Abstract
INTRODUCTION The syndromes of mild cognitive impairment (MCI) or mild neurocognitive disorder (MiND), often prodromal to dementia (Major Neurocognitive Disorder), are characterized by acquired clinically significant changes in one or more cognitive domains despite preserved independence. Mild impairment has significant medicolegal consequences for an affected person and their care system. We review the more common etiologies of MiND and provide a systematic review of its medicolegal implications. METHODS We conducted a systematic review of the peer-reviewed English literature on medicolegal aspects of MCI or MiND using comprehensive search terms and expanding our review to include sources cited by these reports. RESULTS Impairment of memory, executive function, social cognition, judgment, insight or abstraction can alter an individual's abilities in a variety of areas that include decision making, informed consent, designation of a surrogate decision-maker such as a health care proxy, understanding and management of financial affairs, execution of a will, or safe driving. CONCLUSION Even mild cognitive impairment can have significant behavioral consequences. Clinicians can assist care partners and persons with MCI or MiND by alerting them to the medicolegal concerns that often accompany cognitive decline. Early recognition and discussion can help a care system manage medicolegal risk more effectively and promote thoughtful advance planning.
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Affiliation(s)
- Anca Bejenaru
- Department of Psychiatry and Behavioral Health, Christiana Care, Wilmington, DE, USA
| | - James M Ellison
- Department of Psychiatry and Behavioral Health, Christiana Care, Wilmington, DE, USA.,Department of Family and Community Medicine, Christiana Care, Wilmington, DE, USA.,Department of Psychiatry & Human Behavior, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
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11
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Fernandes C, Macedo I, Barbosa F, Marques-Teixeira J. Economic decision-making in the continuum between healthy aging and Alzheimer's Disease: A systematic review of 20 years of research. Neurosci Biobehav Rev 2021; 131:1243-1263. [PMID: 34715151 DOI: 10.1016/j.neubiorev.2021.10.030] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 09/23/2021] [Accepted: 10/23/2021] [Indexed: 01/21/2023]
Abstract
The effect of pathological aging on economic decision-making is a topic of major relevance as impairments in this domain place older adults at increased risk for financial abuse. This review aims to characterize decision-making across the continuum that goes from healthy aging to Alzheimer's Dementia. We included 42 studies comparing patients with Mild Cognitive Impairment (MCI) and healthy older adults, patients with Alzheimer's Disease (AD) and healthy older adults, and patients with MCI and patients with AD. Substantial evidence emerged suggesting that both MCI as AD affect economic decision-making. However, a non-negligible number of behavioural tasks failed to find significant differences between patients and controls, and no differences were reported between patients with MCI and AD. On the contrary, measures of financial capacity reached more robust findings, showing that healthy older adults had better performance than patients, while MCI patients showed better performance than AD patients. This review presents the main conclusions that may be drawn from significant findings, as well as the hypotheses and recommendations for future research.
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Affiliation(s)
- Carina Fernandes
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, Portugal.
| | - Inês Macedo
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, Portugal
| | - Fernando Barbosa
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, Portugal
| | - João Marques-Teixeira
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, Portugal
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12
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Sousa L, Baptista N, Gomes C, Peixoto M, Baeta É, Rocha JC, Lopes E, Peixoto B. Assessment of the Financial Capacity in the Context of Normal and Pathological Cognitive Aging. Preliminary Analysis of the Portuguese Version of the Numerical Activities of Daily- Living- Financial (NADL-F). Exp Aging Res 2021; 48:261-273. [PMID: 34542026 DOI: 10.1080/0361073x.2021.1974269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Financial capacity (FC) is conceptualized as a dimension that encompasses a wide range of basic aptitudes and the capacity to judge and assess situations and make decisions according to one best interests. The Numerical Activities of Daily-Living-Financial (NADL-F) is an instrument of FC for clinical use developed in Italy. This study aims to perform a preliminary analysis on the psychometric characteristics of the Portuguese version of NADL-F. NADL-F as well as other neuropsychological instruments were administered to three groups: Healthy Control (n = 11); Mild Neurocognitive Disorder group (n = 19); Major Neurocognitive Disorder group (n = 19). NADL-F and its tasks were considered acceptable, showed good reliability for the entire sample (α = .808) and the majority of the domains correlated significantly with each other and with the total scale. Between group comparisons showed significant differences regarding all domains. Arithmetic, schooling and executive functioning accounted for 54.1% of the variance on the test. The Portuguese version of NADL-F proved to be an acceptable and valid instrument of assessing FC in the context of cognitive aging. NADL-F is an instrument that emulates real life financial situations, and it can be used in a second level of evidence in the clinical model of FC assessment.
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Affiliation(s)
- Luísa Sousa
- CESPU, Instituto De Investigação E Formação Avançada Em Ciências E Tecnologias Da Saúde, Gandra, Portugal
| | - Nicole Baptista
- CESPU, Instituto De Investigação E Formação Avançada Em Ciências E Tecnologias Da Saúde, Gandra, Portugal
| | - Carina Gomes
- CESPU, Instituto De Investigação E Formação Avançada Em Ciências E Tecnologias Da Saúde, Gandra, Portugal
| | - Miguel Peixoto
- CESPU, Instituto De Investigação E Formação Avançada Em Ciências E Tecnologias Da Saúde, Gandra, Portugal
| | - Élia Baeta
- Hospital CUF Descobertas, Lisboa, Portugal
| | - J C Rocha
- CESPU, Instituto De Investigação E Formação Avançada Em Ciências E Tecnologias Da Saúde, Gandra, Portugal.,Cespu, Instituto Universitário De Ciências Da Saúde, Gandra, Portugal
| | - Emanuela Lopes
- Hospital Senhora Da Oliveira Guimarães, Guimarães, Portugal
| | - Bruno Peixoto
- Cespu, Instituto Universitário De Ciências Da Saúde, Gandra, Portugal
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13
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Esteban de Antonio E, Pérez-Cordón A, Gil S, Orellana A, Cano A, Alegret M, Espinosa A, Alarcón-Martín E, Valero S, Martínez J, de Rojas I, Sotolongo-Grau Ó, Martín E, Vivas A, Gomez-Chiari M, Tejero MÁ, Bernuz M, Tárraga L, Ruiz A, Marquié M, Boada M. BIOFACE: A Prospective Study of Risk Factors, Cognition, and Biomarkers in a Cohort of Individuals with Early-Onset Mild Cognitive Impairment. Study Rationale and Research Protocols. J Alzheimers Dis 2021; 83:1233-1249. [PMID: 34420953 PMCID: PMC8543256 DOI: 10.3233/jad-210254] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Background: Mild cognitive impairment (MCI) due to Alzheimer’s disease (AD) diagnosis is based on cerebrospinal fluid (CSF) or neuroimaging biomarkers. Currently, non-invasive and inexpensive blood-based biomarkers are being investigated, such as neuronal-derived plasma exosomes (NPEs). Neuroinflammation and early vascular changes have been described in AD pathogenesis and can be traced in plasma and NPEs. However, they have not been studied in early onset MCI (EOMCI). Objective: To describe the rationale, design, and baseline characteristics of the participants from the BIOFACE cohort, a two-year observational study on EOMCI conducted at Fundació ACE. The study goal is to characterize the different phenotypes from a clinical, neuropsychological, and biomarker point of view and to investigate the CSF and plasma proteomics as well as the role of NPEs as early biomarkers of AD. Methods: Participants underwent extended neurological and neuropsychological batteries, multimodal biomarkers including brain MRI, blood, saliva, CSF, anthropometric, and neuro-ophthalmological examinations. Results: Ninety-seven patients with EOMCI were recruited. 59.8%were women. Mean age at symptom onset was 57 years; mean MMSE was 28. First degree and presenile family history of dementia was present in 60.8%and 15.5%, respectively. Depressive and anxiety disorders along with vascular risk factors were the most frequent comorbidities. 29%of participants were APOE ɛ4 carriers, and 67%showed a CSF normal ATN profile. Conclusion: BIOFACE is a two-year study of clinical, cognition, and biomarkers that will shed light on the physiopathology and the potential utility of plasma and NPEs as non-invasive early diagnostic and prognostic biomarkers in people younger than 65 years.
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Affiliation(s)
- Ester Esteban de Antonio
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Alba Pérez-Cordón
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Silvia Gil
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Adelina Orellana
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Amanda Cano
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Montserrat Alegret
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Ana Espinosa
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Emilio Alarcón-Martín
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Sergi Valero
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Joan Martínez
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Itziar de Rojas
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Óscar Sotolongo-Grau
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Elvira Martín
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Assumpta Vivas
- Departament de Diagnòstic per la Imatge, Clínica Corachan, Barcelona, Spain
| | - Marta Gomez-Chiari
- Departament de Diagnòstic per la Imatge, Clínica Corachan, Barcelona, Spain
| | | | - Mireia Bernuz
- Grup de Sensors i Biosensors, Departament de Química, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Lluis Tárraga
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Agustín Ruiz
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Marta Marquié
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Mercè Boada
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
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14
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Bangma DF, Tucha O, Tucha L, De Deyn PP, Koerts J. How well do people living with neurodegenerative diseases manage their finances? A meta-analysis and systematic review on the capacity to make financial decisions in people living with neurodegenerative diseases. Neurosci Biobehav Rev 2021; 127:709-739. [PMID: 34058557 DOI: 10.1016/j.neubiorev.2021.05.021] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 05/18/2021] [Accepted: 05/20/2021] [Indexed: 12/13/2022]
Abstract
Self and proxy reported questionnaires indicate that people living with a neurodegenerative disease (NDD) have more difficulties with financial decision-making (FDM) than healthy controls. Self-reports, however, rely on adequate insight into everyday functioning and might, therefore, be less reliable. The present study provides a comprehensive overview and meta-analysis of studies evaluating FDM in people living with an NDD. For this, the reliability of performance-based tests to consistently identify FDM difficulties in people living with an NDD compared to healthy controls is evaluated. Furthermore, the associations between FDM and disease severity, performances on standard measures of cognition and demographics are evaluated. All 47 included articles, consistently reported lower performances on performance-based FDM tests of people living with an NDD (including Alzheimer's disease, mild cognitive impairment, frontotemporal dementia, Parkinson's disease, multiple sclerosis or Huntington's disease) compared to healthy controls. The majority of studies, however, focused on Alzheimer's disease and mild cognitive impairment (k = 38). FDM performance appears to be related to cognitive decline, specifically in working memory, processing speed and numeracy.
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Affiliation(s)
- Dorien F Bangma
- Department of Clinical and Developmental Neuropsychology, University of Groningen, Groningen, the Netherlands; Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands
| | - Oliver Tucha
- Department of Clinical and Developmental Neuropsychology, University of Groningen, Groningen, the Netherlands; Department of Department of Psychiatry and Psychotherapy, University Medical Center Rostock, Rostock, Germany; Department of Psychology, Maynooth University, National University of Ireland, Maynooth, Ireland
| | - Lara Tucha
- Department of Department of Psychiatry and Psychotherapy, University Medical Center Rostock, Rostock, Germany
| | - Peter P De Deyn
- Department of Neurology and Alzheimer Center Groningen, University Medical Center Groningen, Groningen, the Netherlands; Institute Born-Bunge, University of Antwerp, Antwerp, Belgium; Department of Neurology and Memory Clinic, Middelheim General Hospital (ZNA), Antwerp, Belgium
| | - Janneke Koerts
- Department of Clinical and Developmental Neuropsychology, University of Groningen, Groningen, the Netherlands.
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15
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Idárraga-Cabrera C, Dueñas JM, Martínez-González MB, Navarro-Blanco R, Denegri-Coria M, Pino M. Cognitive Functioning, Life Satisfaction, and Their Relationship with the Financial Attitudes of Older Individuals Who Participate in an Active Aging Program. Behav Sci (Basel) 2020; 10:E189. [PMID: 33321729 PMCID: PMC7763154 DOI: 10.3390/bs10120189] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 11/28/2020] [Accepted: 12/03/2020] [Indexed: 01/07/2023] Open
Abstract
Life expectancy has increased in many countries throughout the world over recent years, leading to new challenges related to aging. A large part of the population is over 60 years old, and therefore studies that focus on financial autonomy and active aging are necessary. In this paper, we analyze the relationship between cognitive functioning and life satisfaction in relation to financial attitudes in a sample of 251 elderly adults (71% women) participating in an active aging program (M = 67.5, SD = 4.5). We used the Mini-Mental State Examination, the Satisfaction with Life scale, and a questionnaire about financial attitudes to gather data. Our results show that cognitive functioning and life satisfaction are related to certain financial attitudes. We also observed differences associated with gender, education level, and financial independence. According to our findings, life satisfaction should be taken into account when the financial attitudes of older adults are evaluated. The importance of support groups for the elderly is highlighted as well as of all those recreation and health programs, since they constitute a means of promoting well-being.
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Affiliation(s)
- Claudia Idárraga-Cabrera
- Department of Social Sciences, University of La Costa, Barranquilla 080002, Colombia; (C.I.-C.); (M.-B.M.-G.)
| | - Jorge-Manuel Dueñas
- Department of Psychology, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | | | - Regina Navarro-Blanco
- Center of Excellence in Economic and Consumer Psychology, University of La Frontera, Calle Francisco Salazar, Temuco 1145, Chile; (R.N.-B.); (M.D.-C.)
| | - Marianela Denegri-Coria
- Center of Excellence in Economic and Consumer Psychology, University of La Frontera, Calle Francisco Salazar, Temuco 1145, Chile; (R.N.-B.); (M.D.-C.)
| | - Mariana Pino
- Faculty of Social Sciences, Autonomous University of the Caribbean, Barranquilla 080002, Colombia;
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16
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Benavides-Varela S, Burgio F, Weis L, Mitolo M, Palmer K, Toffano R, Arcara G, Vallesi A, Mantini D, Meneghello F, Semenza C. The role of limbic structures in financial abilities of mild cognitive impairment patients. Neuroimage Clin 2020; 26:102222. [PMID: 32120293 PMCID: PMC7049652 DOI: 10.1016/j.nicl.2020.102222] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 02/17/2020] [Accepted: 02/18/2020] [Indexed: 12/16/2022]
Abstract
Mild Cognitive Impairment (MCI) patients experience problems in financial abilities that affect everyday functioning. To date, the neural correlates of decline in this domain are unclear. This study aims at examining the correlation between the pattern of brain atrophy of MCI patients and performance on financial abilities. Forty-four MCI patients and thirty-seven healthy controls underwent structural magnetic resonance imaging, and assessment of financial abilitiesby means of the Numerical Activities of Daily Living Financial battery (NADL-F). As compared to healthy controls, MCI patients showed impaired performance in three out of the seven domains assessed by NADL-F: Item purchase, percentage, and financial concepts. The patients' performance in the NADL-F correlated with memory, language, visuo-spatial, and abstract reasoning composite scores. The analysis also revealed that volumetric differences in the limbic structures significantly correlated with financial abilities in MCI. Specifically, the patients' performance in the NADL-F was correlated with atrophy in the left medial and lateral amygdala and the right anterior thalamic radiation. These findings suggest that completing daily financial tasks involves sub-cortical regions in MCI and presumably also the motivational and emotional processes associated to them. Involvement of altered limbic structures in MCI patients suggests that impairment in financial abilities may be related to emotional and reflexive processing deficits.
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Affiliation(s)
- Silvia Benavides-Varela
- Department of Developmental Psychology and Socialisation, University of Padova, Padova, Italy; Department of General Psychology, University of Padova, Padova, Italy
| | | | - Luca Weis
- IRCCS San Camillo Hospital, Venice, Italy
| | - Micaela Mitolo
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma Neuroimmagini Funzionali e Molecolari, Bologna, Italy
| | - Katie Palmer
- Department of Geriatrics, Centro Medicina dell'Invecchiamento, Università Cattolica del Sacro Cuore, Rome, Italy
| | | | | | - Antonino Vallesi
- IRCCS San Camillo Hospital, Venice, Italy; Department of Neuroscience and Padova Neuroscience Center, University of Padova, Padova, Italy
| | - Dante Mantini
- IRCCS San Camillo Hospital, Venice, Italy; Research Center for Neuroplasticity and Motor Control, KU Leuven, Leuven, Belgium
| | | | - Carlo Semenza
- IRCCS San Camillo Hospital, Venice, Italy; Department of Neuroscience and Padova Neuroscience Center, University of Padova, Padova, Italy
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17
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Shaked D, Sunderaraman P, Piscitello J, Cines S, Hale C, Devanand D, Karlawish J, Cosentino S. Modification of everyday activities and its association with self-awareness in cognitively diverse older adults. PLoS One 2019; 14:e0222769. [PMID: 31697690 PMCID: PMC6837494 DOI: 10.1371/journal.pone.0222769] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Accepted: 09/06/2019] [Indexed: 01/05/2023] Open
Abstract
Cognitive impairment (CI) in older adults is frequently accompanied by difficulty performing complex everyday activities (e.g., managing finances). However, it is unclear if and how older adults with CI modify their activities (i.e., Do individuals continue, monitor, seek help with, change their approach to, or stop different activities?). In the current study, we examined if older adults with CI are concerned about their ability to carry out complex activities, if and how they modify activities based on their concern, and the factors associated with activity modification. We hypothesized that older adults with CI will more frequently be concerned about, and modify, everyday activities than cognitively healthy (HE) older adults, and that higher awareness of memory loss in the CI group would relate to more frequent modification. The sample included 81 older adults (51 HEs; mean age 70.02 (7.34) and 30 CI; mean age 75.97 (8.12)). Compared to HEs, the CI group reported having more concern about, F(3,77) = 5.50, p = 0.02, and modifying a greater number of activities, F(3,77) = 5.02, p = 0.03. Medication management (30%) and completing taxes (33.3%) were among the most frequently modified activities for the CI and HE groups, respectively. In the CI group, higher memory awareness was associated with more concern (r = .53, p = .005) and activity modification (r = 0.55, p = .003). Findings provide novel information about how cognitively diverse older adults navigate complex activities in daily life. We propose a preliminary theoretical model by which self-awareness may influence navigation of everyday activities in the context of CI.
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Affiliation(s)
- Danielle Shaked
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, United States of America
- Department of Psychology, University of Maryland, Baltimore County, Baltimore, MD, United States of America
| | - Preeti Sunderaraman
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, United States of America
- Gertrude. H. Sergievsky Center, Columbia University Medical Center, New York, NY, United States of America
- Department of Neurology, Columbia University Medical Center, New York, NY, United States of America
| | - Jennifer Piscitello
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, United States of America
| | - Sarah Cines
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, United States of America
| | - Christiane Hale
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, United States of America
- Gertrude. H. Sergievsky Center, Columbia University Medical Center, New York, NY, United States of America
| | - Davangere Devanand
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, United States of America
- Department of Neurology, Columbia University Medical Center, New York, NY, United States of America
- Division of Geriatric Psychiatry, Department of Psychiatry, Columbia University Medical Center and New York State Psychiatric Institute, New York, NY, United States of America
| | - Jason Karlawish
- Healthy Brain Research Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, United States of America
| | - Stephanie Cosentino
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, United States of America
- Gertrude. H. Sergievsky Center, Columbia University Medical Center, New York, NY, United States of America
- Department of Neurology, Columbia University Medical Center, New York, NY, United States of America
- * E-mail:
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18
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Stewart CC, Yu L, Wilson RS, Bennett DA, Boyle PA. Healthcare and Financial Decision Making and Incident Adverse Cognitive Outcomes among Older Adults. J Am Geriatr Soc 2019; 67:1590-1595. [PMID: 30882910 PMCID: PMC9801701 DOI: 10.1111/jgs.15880] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 02/13/2019] [Accepted: 02/18/2019] [Indexed: 01/03/2023]
Abstract
OBJECTIVES To determine if poorer healthcare and financial decision making forecasts adverse cognitive outcomes in old age. Specifically, we hypothesized that poorer decision making would be associated with an increased risk of incident Alzheimer's dementia, an increased risk of incident mild cognitive impairment (MCI), and a more rapid decline in cognition. DESIGN An ongoing prospective observational cohort study of aging (the Rush Memory and Aging Project). SETTING The greater Chicago area. PARTICIPANTS A total of 952 community-based older adults without dementia at baseline. MEASUREMENTS Participants completed a measure of healthcare and financial decision making at baseline and underwent annual standardized evaluations to track clinical status and cognitive functions (global cognition, episodic memory, semantic memory, working memory, perceptual speed, and visuospatial ability). RESULTS During up to 9 years of follow-up (M = 5.2 y; standard deviation = 2.7), 156 participants developed Alzheimer's dementia (16.4% of 952), 253 participants developed MCI (33.2% of 760), and each cognitive measure declined (all Ps < .001). In Cox proportional hazards models adjusted for age, sex, and education, poorer decision making was associated with an increased risk of incident Alzheimer's dementia (hazard ratio [HR] = 1.17; 95% confidence interval [CI] = 1.10-1.24; P < .001) and incident MCI (HR = 1.16; 95% CI = 1.10-1.22; P < .001). Further, in linear mixed-effects models, poorer decision making among those who were initially free of cognitive impairment was associated with a more rapid decline in global cognition and four of five specific cognitive domains (all Ps < .05). CONCLUSION Our results suggest that poorer healthcare and financial decision making heralds adverse cognitive outcomes in old age. J Am Geriatr Soc 67:1590-1595, 2019.
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Affiliation(s)
- Christopher C. Stewart
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA,Corresponding author: Christopher C. Stewart (postal address: 355 W. 16th St. (GH 4222), Indianapolis, IN 46202, USA; )
| | - Lei Yu
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Robert S. Wilson
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA,Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Patricia A. Boyle
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA,Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
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19
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Sutin AR, Stephan Y, Terracciano A. Verbal fluency and risk of dementia. Int J Geriatr Psychiatry 2019; 34:863-867. [PMID: 30729575 PMCID: PMC6530594 DOI: 10.1002/gps.5081] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Accepted: 02/03/2019] [Indexed: 11/09/2022]
Abstract
OBJECTIVE Verbal fluency is a common neuropsychological test that is impaired in dementia. We test whether verbal fluency is a prospective risk factor for incident dementia, cognitive impairment not dementia (CIND), and conversion from CIND to dementia. METHODS Participants (N = 18 189) from the Health and Retirement Study were administered a standard test of verbal fluency and were assessed for cognitive status every 2 years between baseline and 6 years' follow-up. RESULTS Every standard deviation increase in verbal fluency was associated with an approximately 60% reduced risk of incident dementia, an approximately 25% reduced risk of incident CIND, and an approximately 25% reduced risk of conversion from CIND to dementia. These associations were independent of age, gender, education, race, ethnicity, and APOE risk status. The associations were slightly weaker (but still significant) for African Americans and individuals with lower education. There was no interaction between verbal fluency and APOE risk status. CONCLUSION Verbal fluency is an easily administered task that is predictive of incident cognitive impairment.
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Boyle PA, Yu L, Schneider JA, Wilson RS, Bennett DA. Scam Awareness Related to Incident Alzheimer Dementia and Mild Cognitive Impairment: A Prospective Cohort Study. Ann Intern Med 2019; 170:702-709. [PMID: 30986826 PMCID: PMC9770589 DOI: 10.7326/m18-2711] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Decreased scam awareness may be an early indicator of impending Alzheimer dementia and its precursor, mild cognitive impairment, but prior studies have not systematically examined the associations between scam awareness and adverse cognitive outcomes. OBJECTIVE To test the hypothesis that low scam awareness is associated with increased risk for incident Alzheimer dementia, mild cognitive impairment, and Alzheimer disease pathology in the brain. DESIGN Prospective cohort study of aging. SETTING Community-based study in the greater Chicago metropolitan area. PARTICIPANTS 935 older persons initially free of dementia. MEASUREMENTS Scam awareness was measured via questionnaire, incident Alzheimer dementia and mild cognitive impairment were documented in detailed annual cognitive and clinical evaluations, and Alzheimer disease neuropathology was quantified after death among a subset of persons who died (n = 264). Proportional hazards models examined associations between scam awareness and incident Alzheimer dementia and mild cognitive impairment. Regression models examined associations between scam awareness and Alzheimer disease pathology, particularly β-amyloid burden and tau tangle density. RESULTS During a mean of about 6 years (SD, 2.4) of observation, 151 persons (16.1%) developed Alzheimer dementia. Low scam awareness was associated with increased risk for Alzheimer dementia (hazard ratio [HR], 1.56 [95% CI, 1.21 to 2.01]; P < 0.001), such that each 1-unit increase in scam score (indicating lower awareness) was associated with about a 60% increase in dementia risk. Low scam awareness was also associated with increased risk for mild cognitive impairment (HR, 1.47 [CI, 1.20 to 1.81]; P < 0.001). These associations persisted even after adjustment for global cognitive function. Finally, low scam awareness was associated with a higher burden of Alzheimer pathology in the brain, particularly β-amyloid (estimated increase [±SE] in β-amyloid per 1-unit increase in scam score, 0.22 ± 0.10 unit; P = 0.029). LIMITATION The measure of scam awareness used here is too weak for prediction at the individual level. CONCLUSION Low scam awareness among older persons is a harbinger of adverse cognitive outcomes and is associated with Alzheimer disease pathology in the brain. PRIMARY FUNDING SOURCE National Institute on Aging.
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Affiliation(s)
- Patricia A Boyle
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois (P.A.B., L.Y., J.A.S., R.S.W., D.A.B.)
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois (P.A.B., L.Y., J.A.S., R.S.W., D.A.B.)
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois (P.A.B., L.Y., J.A.S., R.S.W., D.A.B.)
| | - Robert S Wilson
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois (P.A.B., L.Y., J.A.S., R.S.W., D.A.B.)
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois (P.A.B., L.Y., J.A.S., R.S.W., D.A.B.)
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