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Passadouro L, Silva CM, Reis CD, Nazaré C, Paulo S, Serrano M. Listening Effort, An Overview of App Validation and Testing by the Audiology 4 all Project. Int Tinnitus J 2024; 27:97-103. [PMID: 38507621 DOI: 10.5935/0946-5448.20230016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
OBJECTIVE To describe an application's development and validation process that aims to track hearing difficulties in adverse environments (a listening effort application). DESIGN 71 subjects were evaluated, divided into two groups: 30 subjects aged between 18 and 30, and 41 subjects aged between 40 and 65. All subjects had European Portuguese as their native language; the Montreal Cognitive Assessment (MOCA) scored above 24, and all could read and write. All subjects performed the intelligibility test in noise and the test of listening effort. The two tests were randomly applied in the free field in the audiometric cabin and the application. RESULTS There were no statistically significant differences between the results of the two methods (p>0.05). For the group aged between 40 and 65 years old, the ROC curve showed that intelligibility inferior to 68.5% and the number of correct answers lower than 1,5 in the listening effort test are the optimal cut-off for referral to further management. Both tests showed low sensitivity and specificity regarding individuals between 18 and 30 years old, indicating that the application is inappropriate for this age group. CONCLUSIONS The application is valid and can contribute to the screening and self-awareness of listening difficulties in middle age, with a reduction in the prevalence of dementia soon.
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Affiliation(s)
- Luísa Passadouro
- Polytechnic Institute of Coimbra, Applied Research Institute, Rua da Misericórdia, Lagar dos Corticos-S. Martinho do Bispo, Coimbra, Portugal
| | - Carla Matos Silva
- Polytechnic Institute of Coimbra, Coimbra Health School, Department of Audiology, Physiotherapy and Environmental Health, Rua 5 de Outubro - S. Martinho do Bispo, Apartado, Coimbra, Portugal
| | - Cláudia Dos Reis
- Polytechnic Institute of Coimbra, Coimbra Health School, Department of Audiology, Physiotherapy and Environmental Health, Rua 5 de Outubro - S. Martinho do Bispo, Apartado, Coimbra, Portugal
| | - Cristina Nazaré
- Polytechnic Institute of Coimbra, Coimbra Health School, Department of Audiology, Physiotherapy and Environmental Health, Rua 5 de Outubro - S. Martinho do Bispo, Apartado, Coimbra, Portugal
| | | | - Margarida Serrano
- Polytechnic Institute of Coimbra, Coimbra Health School, Department of Audiology, Physiotherapy and Environmental Health, Rua 5 de Outubro - S. Martinho do Bispo, Apartado, Coimbra, Portugal
- Polytechnic Institute of Coimbra, Research Group on Sustainability Cities and Urban Intelligence, Engineering Superior Institute of Coimbra, Rua Pedro Nunes - Quinta da Nora, Coimbra, Portugal
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Gordon S, Lee JS, Scott TM, Bhupathiraju S, Ordovas J, Kelly RS, Bhadelia R, Koo BB, Bigornia S, Tucker KL, Palacios N. Metabolites and MRI-Derived Markers of AD/ADRD Risk in a Puerto Rican Cohort. Res Sq 2024:rs.3.rs-3941791. [PMID: 38410484 PMCID: PMC10896402 DOI: 10.21203/rs.3.rs-3941791/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
Objective Several studies have examined metabolomic profiles in relation to Alzheimer's disease and related dementia (AD/ADRD) risk; however, few studies have focused on minorities, such as Latinos, or examined Magnetic-Resonance Imaging (MRI)-based outcomes. Methods We used multiple linear regression, adjusted for covariates, to examine the association between metabolite concentration and MRI-derived brain age deviation. Metabolites were measured at baseline with untargeted metabolomic profiling (Metabolon, Inc). Brain age deviation (BAD) was calculated at wave 4 (~ 9 years from Boston Puerto Rican Health Study (BPRHS) baseline) as chronologic age, minus MRI-estimated brain age, representing the rate of biological brain aging relative to chronologic age. We also examined if metabolites associated with BAD were similarly associated with hippocampal volume and global cognitive function at wave 4 in the BPRHS. Results Several metabolites, including isobutyrylcarnitine, propionylcarnitine, phenylacetylglutamine, phenylacetylcarnitine (acetylated peptides), p-cresol-glucuronide, phenylacetylglutamate, and trimethylamine N-oxide (TMAO) were inversely associated with brain age deviation. Taurocholate sulfate, a bile salt, was marginally associated with better brain aging. Most metabolites with negative associations with brain age deviation scores also were inversely associations with hippocampal volumes and wave 4 cognitive function. Conclusion The metabolites identifiedin this study are generally consistent with prior literature and highlight the role of BCAA, TMAO and microbially derived metabolites in cognitive decline.
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Boerner K, Stokes J, Jansen T. Widowhood and bereavement in late life. Curr Opin Psychol 2024; 55:101748. [PMID: 38071788 DOI: 10.1016/j.copsyc.2023.101748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 10/25/2023] [Accepted: 11/13/2023] [Indexed: 01/28/2024]
Abstract
Bereavement is a common and often challenging experience in late life. Evidence shows that while many older adults manage to adjust well and demonstrate resilience in response to the death of a close person, bereavement puts a substantial minority at risk of adverse mental and physical health impacts including mortality. Current research further indicates that 1) this is the case across different countries and cultures across the globe; 2) that the COVID-19 pandemic posed unprecedented challenges for coping with late-life bereavement; 3) that loneliness and social isolation among bereaved older adults tend to be prevalent and harmful, particularly under pandemic but also in nonpandemic circumstances; and, recently, 4) that bereavement may be a risk factor for cognitive decline in this population.
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Affiliation(s)
- Kathrin Boerner
- Department of Health Services Research, Carl von Ossietzky University of Oldenburg, Ammerländer Heerstraße 140, 26129 Oldenburg, Germany; Department of Gerontology, University of Massachusetts Boston, 100 Morrissey Blvd., Boston, MA 02125, USA.
| | - Jeffrey Stokes
- Department of Gerontology, University of Massachusetts Boston, 100 Morrissey Blvd., Boston, MA 02125, USA
| | - Taylor Jansen
- Department of Gerontology, University of Massachusetts Boston, 100 Morrissey Blvd., Boston, MA 02125, USA
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Morrison C, Oliver MD, Kamal F, Dadar M. Beyond Hypertension: Examining Variable Blood Pressure's Role in Cognition and Brain Structure. medRxiv 2024:2024.01.15.24301335. [PMID: 38293179 PMCID: PMC10827268 DOI: 10.1101/2024.01.15.24301335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Importance Hypertension is a known risk factor for cognitive decline and structural brain changes in aging and dementia. In addition to high blood pressure (BP), individuals may also experience variable BP, meaning that their BP fluctuates between normal and high. It is currently unclear what the effects of variable BP are on cognition and brain structure. Objective To investigate the influence of BP on cognition and brain structure in older adults. Design Setting and Participants This longitudinal cohort study included data from the Rush Alzheimer's Disease Center Research Resource Sharing Hub (RUSH) and the Alzheimer's Disease Neuroimaging Initiative (ADNI). Participants from the two studies were included if they had BP measurements and either cognitive scores or MRI scans from at least one visit. Main Outcomes and Measures Longitudinal gray matter, white matter, white matter hyperintensity volumes, postmortem neuropathology information, as well as cognitive test scores. Results A total of 4606 participants (3429 females, mean age = 76.8) with 32776 follow-ups (mean = 7 years) from RUSH and 2114 participants (1132 females, mean age = 73.3) with 9827 follow-ups (mean = 3 years) from ADNI were included in this study. Participants were divided into one of three groups: 1) normal BP, high BP, or variable BP. Older adults with variable BP exhibited the highest rate of cognitive decline followed by high BP and then normal BP. Increased GM volume loss and WMH burden was also observed in variable BP compared to high and normal BP. With respect to post-mortem neuropathology, both variable and high BP had increased severities compared to normal BP. Importantly, results were consistent across the RUSH and ADNI participants, supporting the generalizability of the findings. Conclusion and Relevance Limited research has examined the long-term impact of variable BP on cognition and brain structure. These findings show the importance that both high and variable BP have on cognitive decline and structural brain changes. Structural damages caused by variable BP may reduce resilience to future dementia-related pathology and increased risk of dementia. Improved treatment and management of variable BP may help reduce cognitive decline in the older adult population.
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Affiliation(s)
| | - Michael D Oliver
- Department of Psychological Science and Neuroscience, Belmont University, Nashville, Tennessee, United States
- Belmont Data Collaborative, Belmont University, Nashville, Tennessee, United States
| | - Farooq Kamal
- Department of Psychiatry, McGill University, Montreal, Quebec, H3A 1A1, Canada
- Douglas Mental Health University Institute, Montreal, Quebec, H4H 1R3, Canada
| | - Mahsa Dadar
- Department of Psychiatry, McGill University, Montreal, Quebec, H3A 1A1, Canada
- Douglas Mental Health University Institute, Montreal, Quebec, H4H 1R3, Canada
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Park J, Wang SM, Kang DW, Lee B, Choi H. Effect of Anti-Aging Standard Forest Healing Program With Multiple Visits to a Forest Facility on Cognition in Older Age Patients. Dement Neurocogn Disord 2024; 23:44-53. [PMID: 38362051 PMCID: PMC10864698 DOI: 10.12779/dnd.2024.23.1.44] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 01/22/2024] [Accepted: 01/22/2024] [Indexed: 02/17/2024] Open
Abstract
Background and purpose The anti-aging standard forest healing program (ASFHP), which uses forest therapy, was reported to be effective in improving psychological, physical, and cognitive functions. However, there are several challenges to directly visiting the forest. This study aimed to investigate the impact of multi-session ASFHP with forest visit on the mental and physical health of the older people with visits to forest facilities and compared them with those of the same program conducted indoors. Methods Individuals aged over 70 years with concerns about cognitive decline were recruited at dementia relief centers and divided into control and experimental groups. A total of 33 people were administered ASFHP under the supervision of a forest therapy instructor. The control group stayed indoors, while the experimental group visited a forest healing center and repeated the program 20 weeks. Results The multiple-session ASFHP positively affected cognitive impairment screening test (CIST) total scores (p=0.002), memory (p=0.014), Korean version of the Repeatable Battery for the Assessment of Neuropsychological Status total scores (p<0.001), immediate recall (p=0.001), visuospatial/construction (p<0.001), language (p<0.001), forest healing standard questionnaire total scores (p=0.002), and cognitive function (p=0.019), regardless of location. The forest visits during the ASFHP showed positive effects on orientation (p=0.035), delayed recall (p=0.042), emotional stability (p=0.032), physical activity (p=0.005), and health (p=0.022). The CIST scores of the memory domain were the strongest indicator of the multiple-session ASFHP effects. Conclusions The 20-week multi-session ASFHP with forest visit showed effects on cognitive improvement and physical and emotional stability compared to indoor education.
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Affiliation(s)
- Jinseok Park
- Department of Neurology, Hanyang University Hospital, Seoul, Korea
- Society for Cognitive Intervention, Seoul, Korea
| | - Sheng-Min Wang
- Society for Cognitive Intervention, Seoul, Korea
- Department of Psychiatry, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Dong Woo Kang
- Society for Cognitive Intervention, Seoul, Korea
- Department of Psychiatry, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Beom Lee
- Forest Welfare Research Center, Korea Forest Welfare Institute, Yeongju, Korea
| | - Hojin Choi
- Society for Cognitive Intervention, Seoul, Korea
- Department of Neurology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea
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Jo KJ, Ho S, Hong YJ, Jeong JH, Kim S, Wang MJ, Choi SH, Han S, Yang DW, Park KH. Relationship Between Amyloid Positivity and Sleep Characteristics in the Elderly With Subjective Cognitive Decline. Dement Neurocogn Disord 2024; 23:22-29. [PMID: 38362054 PMCID: PMC10864700 DOI: 10.12779/dnd.2024.23.1.22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 01/15/2024] [Accepted: 01/21/2024] [Indexed: 02/17/2024] Open
Abstract
Background and Purpose Alzheimer's disease (AD) is a neurodegenerative disease characterized by a progressive decline in cognition and performance of daily activities. Recent studies have attempted to establish the relationship between AD and sleep. It is believed that patients with AD pathology show altered sleep characteristics years before clinical symptoms appear. This study evaluated the differences in sleep characteristics between cognitively asymptomatic patients with and without some amyloid burden. Methods Sleep characteristics of 76 subjects aged 60 years or older who were diagnosed with subjective cognitive decline (SCD) but not mild cognitive impairment (MCI) or AD were measured using Fitbit® Alta HR, a wristwatch-shaped wearable device. Amyloid deposition was evaluated using brain amyloid plaque load (BAPL) and global standardized uptake value ratio (SUVR) from fluorine-18 florbetaben positron emission tomography. Each component of measured sleep characteristics was analyzed for statistically significant differences between the amyloid-positive group and the amyloid-negative group. Results Of the 76 subjects included in this study, 49 (64.5%) were female. The average age of the subjects was 70.72±6.09 years when the study started. 15 subjects were classified as amyloid-positive based on BAPL. The average global SUVR was 1.598±0.263 in the amyloid-positive group and 1.187±0.100 in the amyloid-negative group. Time spent in slow-wave sleep (SWS) was significantly lower in the amyloid-positive group (39.4±13.1 minutes) than in the amyloid-negative group (49.5±13.1 minutes) (p=0.009). Conclusions This study showed that SWS is different between the elderly SCD population with and without amyloid positivity. How SWS affects AD pathology requires further research.
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Affiliation(s)
- Kyung Joon Jo
- Department of Neurology, College of Medicine, Gachon University Gil Medical Center, Incheon, Korea
| | - SeongHee Ho
- Department of Neurology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Yun Jeong Hong
- Department of Neurology, Uijeongbu St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Uijeongbu, Korea
| | - Jee Hyang Jeong
- Department of Neurology, Ewha Womans University Seoul Hospital, Ewha Womans University School of Medicine, Seoul, Korea
| | - SangYun Kim
- Department of Neurology, Seoul National University College of Medicine, Seoul, Korea
- Clinical Neuroscience Center, Seoul National University Bundang Hospital, Seongnam, Korea
| | | | - Seong Hye Choi
- Department of Neurology, Inha University, School of Medicine, Incheon, Korea
| | | | - Dong Won Yang
- Department of Neurology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Kee Hyung Park
- Department of Neurology, College of Medicine, Gachon University Gil Medical Center, Incheon, Korea
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Byun JY, Lee MK, Jung SL. Diagnostic Performance Using a Combination of MRI Findings for Evaluating Cognitive Decline. J Korean Soc Radiol 2024; 85:184-196. [PMID: 38362402 PMCID: PMC10864162 DOI: 10.3348/jksr.2023.0065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 06/26/2023] [Accepted: 07/08/2023] [Indexed: 02/17/2024]
Abstract
Purpose We investigated potentially promising imaging findings and their combinations in the evaluation of cognitive decline. Materials and Methods This retrospective study included 138 patients with subjective cognitive impairments, who underwent brain MRI. We classified the same group of patients into Alzheimer's disease (AD) and non-AD groups, based on the neuropsychiatric evaluation. We analyzed imaging findings, including white matter hyperintensity (WMH) and cerebral microbleeds (CMBs), using the Kruskal-Wallis test for group comparison, and receiver operating characteristic (ROC) curve analysis for assessing the diagnostic performance of imaging findings. Results CMBs in the lobar or deep locations demonstrated higher prevalence in the patients with AD compared to those in the non-AD group. The presence of lobar CMBs combined with periventricular WMH (area under the ROC curve [AUC] = 0.702 [95% confidence interval: 0.599-0.806], p < 0.001) showed the highest performance in differentiation of AD from non-AD group. Conclusion Combinations of imaging findings can serve as useful additive diagnostic tools in the assessment of cognitive decline.
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Desai P, Beck T, Krueger KR, Wilson RS, Evans DA, Rajan KB. Neuroticism, physical activity, and cognitive functioning in a population-based cohort of older adults. BMC Geriatr 2023; 23:717. [PMID: 37926833 PMCID: PMC10626783 DOI: 10.1186/s12877-023-04399-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 10/10/2023] [Indexed: 11/07/2023] Open
Abstract
BACKGROUND Little is known about how physical activity influences the relationship between neuroticism and cognitive function and cognitive decline. METHODS Data from the Chicago Health and Aging Project (CHAP) was utilized to conduct this study. CHAP is a population-based cohort study of chronic conditions in older adults. Participants completed in-home interviews cycles of three years from 1993-2012. Mixed effects regression models were conducted to test the associations between physical activity, neuroticism, and the interaction between neuroticism and physical activity on outcomes: global cognitive function, global cognitive decline, episodic memory, decline in episodic memory, perceptual speed, and decline in perceptual speed. Stratified mixed effects regression models by physical activity level were conducted to test the associations between neuroticism and global cognitive function and global cognitive decline. RESULTS A total of 7,685 participants were eligible for this study. Participants were 62% female and 64% African American. We found statistically significant associations for the interaction of high physical activity and neuroticism on baseline global cognitive function (β = 0.017 (SE = 0.007), p = .010) and on the interaction of neuroticism and high physical activity on baseline episodic memory (β = 0.020 (SE = .009), p = .021) and on decline in episodic memory over time (β = -0.003 (SE = .001), p = .039). CONCLUSION Higher physical activity lessened the association between higher neuroticism and poor cognitive outcomes.
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Affiliation(s)
- Pankaja Desai
- Rush Institute for Healthy Aging, Rush University Medical Center, Triangle Office Building, 1700 W Van Buren, Suite 245, Chicago, IL, 60612, USA.
| | - Todd Beck
- Rush Institute for Healthy Aging, Rush University Medical Center, Triangle Office Building, 1700 W Van Buren, Suite 245, Chicago, IL, 60612, USA
| | - Kristin R Krueger
- Rush Institute for Healthy Aging, Rush University Medical Center, Triangle Office Building, 1700 W Van Buren, Suite 245, Chicago, IL, 60612, USA
| | - Robert S Wilson
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Denis A Evans
- Rush Institute for Healthy Aging, Rush University Medical Center, Triangle Office Building, 1700 W Van Buren, Suite 245, Chicago, IL, 60612, USA
| | - Kumar B Rajan
- Rush Institute for Healthy Aging, Rush University Medical Center, Triangle Office Building, 1700 W Van Buren, Suite 245, Chicago, IL, 60612, USA
- Department of Neurology, University of California at Davis, Davis, CA, USA
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Haagsma AB, Souza DLB, Vasconcellos GM, Olandoski M, Jerez-Roig J, Baena CP. Longitudinal Relationship Between Handgrip Strength and Cognitive Function in a European Multicentric Population Older Than 50 Years. Phys Ther 2023; 103:pzad057. [PMID: 37249576 PMCID: PMC11009692 DOI: 10.1093/ptj/pzad057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 12/26/2022] [Accepted: 03/08/2023] [Indexed: 05/31/2023]
Abstract
OBJECTIVE The aim of this study was to analyze the bidirectional association between handgrip strength (HGS) and cognitive performance in different cognitive functions in a European population and to evaluate the predictive validity of HGS for the risk of future cognitive impairment in aging individuals. METHODS This was a prospective cohort study conducted using data on individuals over 50 years of age from the Survey of Health, Aging and Retirement in Europe (SHARE). HGS measures and scores in numeracy, recall, and verbal fluency were repeated and analyzed biannually for 4 years and were used in generalized estimating equations to test the bidirectional association, categorized by sex. RESULTS Of the 8236 individuals included, 55.73% were women with a mean age of 67.55 (standard deviation [SD] = 8.4) years and 44.27% were men with a mean age of 68.42 (SD = 7.7) years. HGS predicted cognitive decline in both sexes, except for numeracy in men, even after adjustments. The strongest association with HGS in women was in verbal fluency (β = .094; 95% CI = 0.039 to 0.151), whereas the strongest association with HGS in men was in delayed verbal recall (β = .095; 95% CI = 0.039 to 0.151). Conversely, the greatest cognitive predictor of HGS decline was verbal fluency in men (β = .796; 95% CI = 0.464 to 1.128), and in women (β = .801; 95% CI= 0.567 to 1.109). CONCLUSION There is a significant and bidirectional association between HGS and different cognitive functions in a European multicentric population. This bidirectional association differed between sexes. IMPACT Both men and women who presented with cognitive decline also showed early changes in their HGS measures, and vice versa, but there still were differences between the sexes. These findings reinforce that HGS may be a simple and inexpensive method to identify early signs of cognitive decline, and that studies and rehabilitation strategies should be more sex specific.
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Affiliation(s)
- Ariele B Haagsma
- Pontifícia Universidade Católica do Paraná (PUCPR), Curitiba, Paraná, Brazil
| | - Dyego L B Souza
- Universidade Federal do Rio Grande do Norte (UFRN), Natal, Rio Grande do Norte, Brazil
| | | | - Márcia Olandoski
- Pontifícia Universidade Católica do Paraná (PUCPR), Curitiba, Paraná, Brazil
| | - Javier Jerez-Roig
- Faculty of Health Sciences and Welfare, University of Vic - Central University of Catalonia (UVIC-UCC), Vic, Barcelona, Spain
| | - Cristina P Baena
- Pontifícia Universidade Católica do Paraná (PUCPR), Curitiba, Paraná, Brazil
- Hospital Marcelino Champagnat, Curitiba, Paraná, Brazil
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Desai P, Beck T, Krueger K, Wilson R, Evans D, Rajan K. Neuroticism, Physical Activity, and Cognitive Functioning in a Population-Based Cohort of Older Adults. Res Sq 2023:rs.3.rs-2874085. [PMID: 37292956 PMCID: PMC10246268 DOI: 10.21203/rs.3.rs-2874085/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Background Little is known about how physical activity influences the relationship between neuroticism and cognitive function and cognitive decline. Methods Data from the Chicago Health and Aging Project (CHAP) was utilized to conduct this study. CHAP is a population-based cohort study of chronic conditions in older adults. Participants completed in-home interviews cycles of three years from 1993-2012. Mixed effects regression models were conducted to test the associations between physical activity, neuroticism, and the interaction between neuroticism and global cognitive function and global cognitive decline. Stratified mixed effects regression models by physical activity level were conducted to test the associations between neuroticism and global cognitive function and global cognitive decline. Results A total of 7,685 participants were eligible for this study. Participants were 62% female and 64% African American. We found statistically significant associations for the interaction of medium physical and neuroticism (β = 0.014 (SE = 0.007), p = .037) and the interaction of high physical activity and neuroticism (β = 0.021 (SE = 0.007), p = .003) on global cognitive function at baseline but not for decline over time. Stratified analysis showed that among participants with high physical activity levels, the association between neuroticism and global cognitive decline was statistically significant (β=-0.002 (SE = 0.001), p = .023). Conclusion Increasing physical activity level benefits the cognitive functioning of individuals with high neuroticism. Interventions should incorporate health behavior change approaches which aim to reduce characteristics of neuroticism.
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Jaramillo-Jimenez A, Giil LM, Germán Borda M, Tovar-Rios DA, Andre Kristiansen K, Bruheim P, Aarsland D, Barreto GE, Kristian Berge R. Serum TCA cycle metabolites in Lewy Bodies Dementia and Alzheimer's Disease: Network analysis and cognitive prognosis. Mitochondrion 2023; 71:17-25. [PMID: 37172667 DOI: 10.1016/j.mito.2023.05.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 03/27/2023] [Accepted: 05/07/2023] [Indexed: 05/15/2023]
Abstract
Abnormalities in the Tri-Carboxylic-Acid (TCA) cycle have been documented in dementia. Through network analysis, TCA cycle metabolites could indirectly reflect known dementia-related abnormalities in biochemical pathways, and key metabolites might be associated with prognosis. This study analyzed TCA cycle metabolites as predictors of cognitive decline in a mild dementia cohort and explored potential interactions with the diagnosis of Lewy Body Dementia (LBD) or Alzheimer's Disease (AD) and APOE-ε4 genotype. We included 145 mild dementia patients (LBD = 59; AD = 86). Serum TCA cycle metabolites were analyzed at baseline, and partial correlation networks were conducted. Cognitive performance was measured annually over 5-years with the Mini-mental State Examination. Longitudinal mixed-effects Tobit models evaluated each baseline metabolite as a predictor of 5-years cognitive decline. APOE-ε4 and diagnosis interactions were explored. Results showed comparable metabolite concentrations in LBD and AD. Multiple testing corrected networks showed larger coefficients for a negative correlation between pyruvate - succinate and positive correlations between fumarate - malate and citrate - Isocitrate in both LBD and AD. In the total sample, adjusted mixed models showed significant associations between baseline citrate concentration and longitudinal MMSE scores. In APOE-ε4 carriers, baseline isocitrate predicted MMSE scores. We conclude that, in mild dementia, serum citrate concentrations could be associated with subsequent cognitive decline, as well as isocitrate concentrations in APOE-ε4 carriers. Downregulation of enzymatic activity in the first half of the TCA cycle (decarboxylating dehydrogenases), with upregulation in the latter half (dehydrogenases only), might be indirectly reflected in serum TCA cycle metabolites' networks.
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Affiliation(s)
- Alberto Jaramillo-Jimenez
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital. Stavanger, Norway; Faculty of Health Sciences, University of Stavanger. Stavanger, Norway; Grupo de Neurociencias de Antioquia, Universidad de Antioquia, School of Medicine. Medellín, Colombia; Semillero de Investigación SINAPSIS, Universidad de Antioquia, School of Medicine. Medellín, Colombia; Semillero de Investigación NeuroCo, Universidad de Antioquia, School of Medicine & School of Engenieering. Medellín, Colombia.
| | - Lasse M Giil
- Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Internal Medicine, Haraldsplass Deaconess Hospital, Bergen, Norway
| | - Miguel Germán Borda
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital. Stavanger, Norway; Faculty of Health Sciences, University of Stavanger. Stavanger, Norway; Semillero de Neurociencias y Envejecimiento, Ageing Institute, Medical School, Pontificia Universidad Javeriana. Bogotá, Colombia
| | - Diego A Tovar-Rios
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital. Stavanger, Norway; Faculty of Health Sciences, University of Stavanger. Stavanger, Norway; Universidad Del Valle, Grupo de Investigación en Estadística Aplicada - INFERIR, Faculty of Engineering, Santiago De Cali, Colombia; Universidad Del Valle, Prevención y Control de la Enfermedad Crónica - PRECEC, Faculty of Health, Santiago De Cali, Colombia
| | - Kåre Andre Kristiansen
- Department of Biotechnology and Food Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Per Bruheim
- Department of Biotechnology and Food Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Dag Aarsland
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital. Stavanger, Norway; Department of Old Age Psychiatry, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - George E Barreto
- Department of Biological Sciences, University of Limerick, Ireland
| | - Rolf Kristian Berge
- The Lipid Research Group, Department of Clinical Science, University of Bergen, Bergen, Norway
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Jacob MA, Cai M, van de Donk V, Bergkamp M, Marques J, Norris DG, Kessels RPC, Claassen JAHR, Duering M, Tuladhar AM, Leeuw FED. Cerebral Small Vessel Disease Progression and the Risk of Dementia: A 14-Year Follow-Up Study. Am J Psychiatry 2023:appiajp20220380. [PMID: 37073486 DOI: 10.1176/appi.ajp.20220380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/20/2023]
Abstract
OBJECTIVE Cerebral small vessel disease (SVD) is considered the most important vascular contributor to cognitive decline and dementia, although a causal relation between its MRI markers and dementia still needs to be established. The authors investigated the relation between baseline SVD severity as well as SVD progression on MRI markers and incident dementia, by subtype, in individuals with sporadic SVD over a follow-up period of 14 years. METHODS The study included 503 participants with sporadic SVD, and without dementia, from the prospective Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Cohort (RUN DMC) study, with screening for baseline inclusion conducted in 2006. Follow-ups in 2011, 2015, and 2020 included cognitive assessments and MRI scans. Dementia was diagnosed according to DSM-5 criteria and stratified into Alzheimer's dementia and vascular dementia. RESULTS Dementia as an endpoint was available for 498 participants (99.0%) and occurred in 108 participants (21.5%) (Alzheimer's dementia, N=38; vascular dementia, N=34; mixed-etiology Alzheimer's dementia/vascular dementia, N=26), with a median follow-up time of 13.2 years (interquartile range, 8.8-13.8). Higher baseline white matter hyperintensity (WMH) volume (hazard ratio=1.31 per 1-SD increase, 95% CI=1.02-1.67), presence of diffusion-weighted-imaging-positive lesions (hazard ratio=2.03, 95% CI=1.01-4.04), and higher peak width of skeletonized mean diffusivity (hazard ratio=1.24 per 1-SD increase, 95% CI=1.02-1.51) were independently associated with all-cause dementia and vascular dementia. WMH progression predicted incident all-cause dementia (hazard ratio=1.76 per 1-SD increase, 95% CI=1.18-2.63). CONCLUSIONS Both baseline SVD severity and SVD progression were independently associated with an increase in risk of all-cause dementia over a follow-up of 14 years. The results suggest that SVD progression precedes dementia and may causally contribute to its development. Slowing SVD progression may delay dementia onset.
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Affiliation(s)
- Mina A Jacob
- Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands, and Donders Center for Medical Neuroscience, Radboud University, Nijmegen (Jacob, Cai, van de Donk, Bergkamp, Tuladhar, de Leeuw); Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, and Guangdong Academy of Medical Sciences, Guangzhou, China (Cai); Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Marques, Norris); Center for Cognition, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Kessels); Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands (Kessels); Department of Medical Psychology, Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen (Kessels); Department of Geriatrics, Radboudumc Alzheimer Center, Radboud University Medical Center, and Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Claassen); Department of Biomedical Engineering, Medical Image Analysis Center and Quantitative Biomedical Imaging Group (qbig), University of Basel, Basel, Switzerland (Duering)
| | - Mengfei Cai
- Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands, and Donders Center for Medical Neuroscience, Radboud University, Nijmegen (Jacob, Cai, van de Donk, Bergkamp, Tuladhar, de Leeuw); Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, and Guangdong Academy of Medical Sciences, Guangzhou, China (Cai); Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Marques, Norris); Center for Cognition, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Kessels); Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands (Kessels); Department of Medical Psychology, Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen (Kessels); Department of Geriatrics, Radboudumc Alzheimer Center, Radboud University Medical Center, and Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Claassen); Department of Biomedical Engineering, Medical Image Analysis Center and Quantitative Biomedical Imaging Group (qbig), University of Basel, Basel, Switzerland (Duering)
| | - Vera van de Donk
- Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands, and Donders Center for Medical Neuroscience, Radboud University, Nijmegen (Jacob, Cai, van de Donk, Bergkamp, Tuladhar, de Leeuw); Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, and Guangdong Academy of Medical Sciences, Guangzhou, China (Cai); Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Marques, Norris); Center for Cognition, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Kessels); Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands (Kessels); Department of Medical Psychology, Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen (Kessels); Department of Geriatrics, Radboudumc Alzheimer Center, Radboud University Medical Center, and Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Claassen); Department of Biomedical Engineering, Medical Image Analysis Center and Quantitative Biomedical Imaging Group (qbig), University of Basel, Basel, Switzerland (Duering)
| | - Mayra Bergkamp
- Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands, and Donders Center for Medical Neuroscience, Radboud University, Nijmegen (Jacob, Cai, van de Donk, Bergkamp, Tuladhar, de Leeuw); Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, and Guangdong Academy of Medical Sciences, Guangzhou, China (Cai); Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Marques, Norris); Center for Cognition, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Kessels); Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands (Kessels); Department of Medical Psychology, Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen (Kessels); Department of Geriatrics, Radboudumc Alzheimer Center, Radboud University Medical Center, and Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Claassen); Department of Biomedical Engineering, Medical Image Analysis Center and Quantitative Biomedical Imaging Group (qbig), University of Basel, Basel, Switzerland (Duering)
| | - José Marques
- Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands, and Donders Center for Medical Neuroscience, Radboud University, Nijmegen (Jacob, Cai, van de Donk, Bergkamp, Tuladhar, de Leeuw); Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, and Guangdong Academy of Medical Sciences, Guangzhou, China (Cai); Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Marques, Norris); Center for Cognition, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Kessels); Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands (Kessels); Department of Medical Psychology, Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen (Kessels); Department of Geriatrics, Radboudumc Alzheimer Center, Radboud University Medical Center, and Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Claassen); Department of Biomedical Engineering, Medical Image Analysis Center and Quantitative Biomedical Imaging Group (qbig), University of Basel, Basel, Switzerland (Duering)
| | - David G Norris
- Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands, and Donders Center for Medical Neuroscience, Radboud University, Nijmegen (Jacob, Cai, van de Donk, Bergkamp, Tuladhar, de Leeuw); Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, and Guangdong Academy of Medical Sciences, Guangzhou, China (Cai); Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Marques, Norris); Center for Cognition, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Kessels); Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands (Kessels); Department of Medical Psychology, Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen (Kessels); Department of Geriatrics, Radboudumc Alzheimer Center, Radboud University Medical Center, and Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Claassen); Department of Biomedical Engineering, Medical Image Analysis Center and Quantitative Biomedical Imaging Group (qbig), University of Basel, Basel, Switzerland (Duering)
| | - Roy P C Kessels
- Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands, and Donders Center for Medical Neuroscience, Radboud University, Nijmegen (Jacob, Cai, van de Donk, Bergkamp, Tuladhar, de Leeuw); Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, and Guangdong Academy of Medical Sciences, Guangzhou, China (Cai); Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Marques, Norris); Center for Cognition, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Kessels); Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands (Kessels); Department of Medical Psychology, Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen (Kessels); Department of Geriatrics, Radboudumc Alzheimer Center, Radboud University Medical Center, and Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Claassen); Department of Biomedical Engineering, Medical Image Analysis Center and Quantitative Biomedical Imaging Group (qbig), University of Basel, Basel, Switzerland (Duering)
| | - Jurgen A H R Claassen
- Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands, and Donders Center for Medical Neuroscience, Radboud University, Nijmegen (Jacob, Cai, van de Donk, Bergkamp, Tuladhar, de Leeuw); Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, and Guangdong Academy of Medical Sciences, Guangzhou, China (Cai); Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Marques, Norris); Center for Cognition, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Kessels); Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands (Kessels); Department of Medical Psychology, Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen (Kessels); Department of Geriatrics, Radboudumc Alzheimer Center, Radboud University Medical Center, and Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Claassen); Department of Biomedical Engineering, Medical Image Analysis Center and Quantitative Biomedical Imaging Group (qbig), University of Basel, Basel, Switzerland (Duering)
| | - Marco Duering
- Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands, and Donders Center for Medical Neuroscience, Radboud University, Nijmegen (Jacob, Cai, van de Donk, Bergkamp, Tuladhar, de Leeuw); Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, and Guangdong Academy of Medical Sciences, Guangzhou, China (Cai); Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Marques, Norris); Center for Cognition, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Kessels); Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands (Kessels); Department of Medical Psychology, Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen (Kessels); Department of Geriatrics, Radboudumc Alzheimer Center, Radboud University Medical Center, and Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Claassen); Department of Biomedical Engineering, Medical Image Analysis Center and Quantitative Biomedical Imaging Group (qbig), University of Basel, Basel, Switzerland (Duering)
| | - Anil M Tuladhar
- Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands, and Donders Center for Medical Neuroscience, Radboud University, Nijmegen (Jacob, Cai, van de Donk, Bergkamp, Tuladhar, de Leeuw); Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, and Guangdong Academy of Medical Sciences, Guangzhou, China (Cai); Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Marques, Norris); Center for Cognition, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Kessels); Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands (Kessels); Department of Medical Psychology, Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen (Kessels); Department of Geriatrics, Radboudumc Alzheimer Center, Radboud University Medical Center, and Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Claassen); Department of Biomedical Engineering, Medical Image Analysis Center and Quantitative Biomedical Imaging Group (qbig), University of Basel, Basel, Switzerland (Duering)
| | - Frank-Erik de Leeuw
- Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands, and Donders Center for Medical Neuroscience, Radboud University, Nijmegen (Jacob, Cai, van de Donk, Bergkamp, Tuladhar, de Leeuw); Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, and Guangdong Academy of Medical Sciences, Guangzhou, China (Cai); Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Marques, Norris); Center for Cognition, Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Kessels); Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands (Kessels); Department of Medical Psychology, Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen (Kessels); Department of Geriatrics, Radboudumc Alzheimer Center, Radboud University Medical Center, and Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen (Claassen); Department of Biomedical Engineering, Medical Image Analysis Center and Quantitative Biomedical Imaging Group (qbig), University of Basel, Basel, Switzerland (Duering)
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Chiarello M, Lee J, Salinas M, Hilsabeck R, Lewis-Peacock J, Sulzer J. The effect of biomechanical features on classification of dual-task gait. IEEE Sens J 2023; 23:3079-3089. [PMID: 37649489 PMCID: PMC10465111 DOI: 10.1109/jsen.2022.3227475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
Early detection of Alzheimer's Disease and Related Disorders (ADRD) has been a focus of research with the hope that early intervention may improve clinical outcomes. The manifestation of motor impairment in early stages of ADRD has led to the inclusion of gait assessments including spatiotemporal parameters in clinical evaluations. This study aims to determine the effect of adding kinetic and kinematic gait features to classification of different levels of cognitive load in healthy individuals. A dual-task paradigm was used to simulate cognitive impairment in 40 healthy adults, with single-task walking trials representing normal, healthy gait. The Paced Auditory Serial Addition Task was administered at two different inter-stimulus intervals representing two levels of cognitive load in dual-task gait. We predicted that a richer dataset would improve classification accuracy relative to spatiotemporal parameters. Repeated Measures ANOVA showed significant changes in 15 different gait features across all three levels of cognitive load. We used three supervised machine learning algorithms to classify data points using a series of different gait feature sets with performance based on the area under the curve (AUC). Classification yielded 0.778 AUC across all three conditions (0.889 AUC Single vs. Dual) using kinematic and spatiotemporal features compared to 0.724 AUC using spatiotemporal features only (0.792 AUC Single vs. Dual). These data suggest that additional kinematic parameters improve classification performance. However, the benefit of measuring a wider set of parameters compared to their cost needs consideration. Further work will lead to a clinically viable ADRD detection classifier.
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Affiliation(s)
- Mark Chiarello
- Walker Department of Mechanical Engineering, University of Texas at Austin, Austin, TX 78712 USA
| | - Jeonghwan Lee
- Walker Department of Mechanical Engineering, University of Texas at Austin, Austin, TX 78712 USA
| | - Mandy Salinas
- Department of Kinesiology and Health Education, University of Texas at Austin, Austin, TX 78712 USA
| | - Robin Hilsabeck
- Department of Neurology, University of Texas at Austin Dell Medical School, Comprehensive Memory Center within the Mulva Clinic for the Neurosciences, UT Health Austin, Austin, TX 78712 USA
| | | | - James Sulzer
- Department of Physical Medicine and Rehabilitation, MetroHealth System, Cleveland, OH 44109 USA
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14
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Liu H, Li Y, Li Y, Wang J, Su N, Cui N, Xu K, Sun Y, Cao F. Psychometric properties of the Chinese version of the Cognitive Reserve Assessment Scale in Health in patients with cancer. BMC Psychiatry 2023; 23:5. [PMID: 36597052 PMCID: PMC9811687 DOI: 10.1186/s12888-022-04506-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 12/28/2022] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Cognitive reserve is a modifiable factor that could prevent cognitive decline in patients with cancer. The Cognitive Reserve Assessment Scale in Health (CRASH) is an instrument used to assess cognitive reserve. This study aims to develop and examine the psychometric properties of the Chinese version of the CRASH for patients with cancer. METHODS A cross-sectional survey was conducted with 167 cancer patients from four wards of two hospitals in China. Thirty-one patients were re-assessed to examine the test-retest reliability. Four translators and three reviewers developed the Chinese version of the scale. We assessed its structural validity, concurrent validity, internal consistency, test-retest reliability, measurement error, and floor/ceiling effects. RESULTS Confirmatory factor analysis showed a good model fit with the four-factor structure of the original CRASH. The CRASH scores were statistically significantly associated with neuropsychological test scores, indicating sufficient concurrent validity. The internal consistency was acceptable, except for leisure activities, with standardized Cronbach's alphas (0.64-0.94) and standardized Omega (0.66-0.95). There was excellent test-retest reliability, with a high intraclass correlation coefficient (0.914-0.993) of total scores and scores for each domain. The measurement error was acceptable, and no floor or ceiling effects were observed. CONCLUSIONS The Chinese version of the CRASH is a valid and reliable instrument to assess cognitive reserve in patients with cancer. Moreover, cognitive reserve measured by the CRASH was associated with low cognitive performance in cancer patients.
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Affiliation(s)
- Hong Liu
- grid.27255.370000 0004 1761 1174Department of Nursing Psychology, School of Nursing and Rehabilitation, Shandong University, No.44 Wenhuaxi Road, Jinan city, 250012 Shandong Province China
| | - Yanyan Li
- grid.11135.370000 0001 2256 9319School of Nursing, Peking University, Beijing, China
| | - Yang Li
- grid.89336.370000 0004 1936 9924School of Nursing, The University of Texas at Austin, Austin, USA
| | - Jianwen Wang
- grid.27255.370000 0004 1761 1174Department of Nursing Psychology, School of Nursing and Rehabilitation, Shandong University, No.44 Wenhuaxi Road, Jinan city, 250012 Shandong Province China
| | - Na Su
- grid.440144.10000 0004 1803 8437Imaging Department, Shandong Cancer Hospital and Institute, Jinan, China
| | - Naixue Cui
- grid.27255.370000 0004 1761 1174Department of Nursing Psychology, School of Nursing and Rehabilitation, Shandong University, No.44 Wenhuaxi Road, Jinan city, 250012 Shandong Province China
| | - Kun Xu
- grid.440144.10000 0004 1803 8437Department of Gastrointestinal Surgery, Shandong Cancer Hospital and Institute, Jinan, China
| | - Yaoyao Sun
- grid.27255.370000 0004 1761 1174Department of Nursing Psychology, School of Nursing and Rehabilitation, Shandong University, No.44 Wenhuaxi Road, Jinan city, 250012 Shandong Province China
| | - Fenglin Cao
- Department of Nursing Psychology, School of Nursing and Rehabilitation, Shandong University, No.44 Wenhuaxi Road, Jinan city, 250012, Shandong Province, China.
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Abstract
Early detection of cognitive decline involved in Alzheimer's Disease and Related Dementias (ADRD) in older adults living alone is essential for developing, planning, and initiating interventions and support systems to improve users' everyday function and quality of life. In this paper, we explore the voice commands using a Voice-Assistant System (VAS), i.e., Amazon Alexa, from 40 older adults who were either Healthy Control (HC) participants or Mild Cognitive Impairment (MCI) participants, age 65 or older. We evaluated the data collected from voice commands, cognitive assessments, and interviews and surveys using a structured protocol. We extracted 163 unique command-relevant features from each participant's use of the VAS. We then built machine-learning models including 1-layer/2-layer neural networks, support vector machines, decision tree, and random forest, for classification and comparison with standard cognitive assessment scores, e.g., Montreal Cognitive Assessment (MoCA). Our classification models using fusion features achieved an accuracy of 68%, and our regression model resulted in a Root-Mean-Square Error (RMSE) score of 3.53. Our Decision Tree (DT) and Random Forest (RF) models using selected features achieved higher classification accuracy 80-90%. Finally, we analyzed the contribution of each feature set to the model output, thus revealing the commands and features most useful in inferring the participants' cognitive status. We found that features of overall performance, features of music-related commands, features of call-related commands, and features from Automatic Speech Recognition (ASR) were the top-four feature sets most impactful on inference accuracy. The results from this controlled study demonstrate the promise of future home-based cognitive assessments using Voice-Assistant Systems.
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Affiliation(s)
- Xiaohui Liang
- Department of Computer Science, University of Massachusetts Boston, 100 Morrissey Blvd., Boston, MA 02125-3393 USA
| | - John A Batsis
- Division of Geriatric Medicine, University of North Carolina at Chapel Hill, 5017 Old Clinic Building, Chapel Hill, NC 27599 USA
| | - Youxiang Zhu
- Department of Computer Science, University of Massachusetts Boston, 100 Morrissey Blvd., Boston, MA 02125-3393 USA
| | - Tiffany M Driesse
- Division of Geriatric Medicine, University of North Carolina at Chapel Hill, 5017 Old Clinic Building, Chapel Hill, NC 27599 USA
| | - Robert M Roth
- Department of Psychiatry, Geisel School of Medicine at Dartmouth/DHMC, Lebanon, NH 03756 USA
| | - David Kotz
- Department of Computer Science, Dartmouth College, Hanover, NH 03755 USA
| | - Brian MacWhinney
- Department of Psychology, Carnegie Mellon University, 5000 Forbes Avenue Pittsburgh, PA 15213 US
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Coelho S, de Mendonça A, Maroco J, Cardoso S, Mello Z, Guerreiro M. Time perspective and amnestic mild cognitive impairment. J Neuropsychol 2022; 16:463-480. [PMID: 35174621 DOI: 10.1111/jnp.12274] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 02/02/2022] [Indexed: 11/28/2022]
Abstract
OBJECTIVE We examined time perspective in patients with amnesic mild cognitive impairment (aMCI). Prior research has shown that aMCI is associated with difficulties in experiencing time duration and succession. However, this line of inquiry has not been extended to time perspective. We examined associations between aMCI and multiple dimensions of time perspective including perceived orientations and relationships among the past, present, and future. METHOD Thirty aMCI patients and thirty-three healthy controls participated. Measures were the Time Orientation Scale (TOS), the Time Relation Scale (TRS), and the Zimbardo Time Perspective Inventory (ZTPI), as well as a comprehensive neuropsychological evaluation. RESULTS The TRS was associated with aMCI. Patients with aMCI were more likely to perceive that time was unrelated than the healthy older adults. Among patients with aMCI, an unrelated time perspective was associated with poorer performance in executive function measures. However, aMCI was not associated with the TOS or the ZTPI. CONCLUSIONS Patients with aMCI have difficulty in perceiving relationships among the past, present, and future. This could be the consequence of deficits in executive functions. This research suggests that patients with aMCI may have limited understanding for how their current behaviours are related to both their past and future.
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Affiliation(s)
- Sara Coelho
- Faculty of Medicine, University of Lisbon, Portugal
| | | | - João Maroco
- William James Center for Research, ISPA-IU, Lisboa, Portugal
| | | | - Zena Mello
- San Francisco State University, California, USA
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Au M, Smart C, Chinnaratha MA. A Rare Neurological Complication in Advanced Liver Disease: Acquired Hepatocerebral Degeneration. Am J Med Sci 2021; 363:e37-e38. [PMID: 34597689 DOI: 10.1016/j.amjms.2021.06.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Revised: 03/04/2021] [Accepted: 06/17/2021] [Indexed: 11/01/2022]
Affiliation(s)
- Minnie Au
- Department of Gastroenterology/Hepatology, Lyell McEwin Hospital, Haydown Road, Elizabeth Vale, South Australia, Australia.
| | - Claire Smart
- Department of Gastroenterology/Hepatology, Lyell McEwin Hospital, Haydown Road, Elizabeth Vale, South Australia, Australia; Department of Gastroenterology/Hepatology, Flinders Medical Centre, Flinders Drive, Bedford Park, South Australia, Australia
| | - Mohamed Asif Chinnaratha
- Department of Gastroenterology/Hepatology, Lyell McEwin Hospital, Haydown Road, Elizabeth Vale, South Australia, Australia; Department of Gastroenterology/Hepatology, Flinders Medical Centre, Flinders Drive, Bedford Park, South Australia, Australia
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18
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Abstract
PURPOSE To describe and categorize difficulties in daily activities of older adults with subjective cognitive decline (SCD) compared to individuals with mild cognitive impairment (MCI). METHODS Deductive quantitative content analysis was used to classify reported issues in the performance of meaningful daily activities, in older adults with SCD (n = 67; age= 70 ± 6.3) or MCI (n = 42; age= 72 ± 6.6). The occupational performance issues were identified using the Canadian Occupational Performance Measure, a semi-structured interview, and categorised using the International Classification of Functioning, Disability and Health (ICF). RESULTS Both groups identified issues in all nine ICF "Activities and Participation" domains, with no significant group effects on seven of them. The most frequently affected "Activities and Participation" domains in both groups were "Self-care" (e.g. exercise and diet); "Community, social and civic life" (e.g. social-leisure activities); and "General tasks and demands" (e.g. time management). Over 90% of the issues in both groups were described in the context of difficulties in "Mental functions" (e.g. memory and higher-level cognitive functions). CONCLUSIONS Older adults with SCD, although independent, identified a variety of daily activities that they are not performing satisfactorily, remarkably similar in nature to the occupational performance issues described by older adults with MCI.Implications for RehabilitationOlder adults with SCD identified difficulties in performing social and leisure activities, maintaining healthy lifestyle behaviours, and managing multiple daily tasks.The daily challenges described by older adults with SCD are similar in nature to those identified by those with MCI.Older adults with SCD and MCI describe their daily challenges are related not only to memory problems, but also to executive dysfunction.Interventions for older adults with SCD should aim to improve self-identified problems in everyday functioning.
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Affiliation(s)
- Shlomit Rotenberg
- Rotman Research Institute, Baycrest, Toronto, Canada.,Department of Occupational Science & Occupational Therapy, University of Toronto, Toronto, Canada
| | - Calvin Leung
- Department of Occupational Science & Occupational Therapy, University of Toronto, Toronto, Canada
| | - Henry Quach
- Department of Occupational Science & Occupational Therapy, University of Toronto, Toronto, Canada
| | - Nicole D Anderson
- Rotman Research Institute, Baycrest, Toronto, Canada.,Departments of Psychology and Psychiatry, University of Toronto, Toronto, Canada
| | - Deirdre R Dawson
- Rotman Research Institute, Baycrest, Toronto, Canada.,Department of Occupational Science & Occupational Therapy, University of Toronto, Toronto, Canada.,Rehabilitation Sciences Institute, University of Toronto, Toronto, Canada
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Varriano B, Sulway S, Wetmore C, Dillon W, Misquitta K, Multani N, Anor C, Martinez M, Cacchione E, Rutka J, Tartaglia MC. Prevalence of Cognitive and Vestibular Impairment in Seniors Experiencing Falls. Can J Neurol Sci 2021; 48:245-52. [PMID: 32684199 DOI: 10.1017/cjn.2020.154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Falls are a growing concern in seniors (≥65 yrs). Cognitive impairment (CI) and vestibular impairment (VI) increase fall risk. The aim of this study is to assess the prevalence of CI and VI in seniors experiencing falls. METHODS Participants (≥65 yrs) with falls were recruited from Falls Prevention Programs (FPPs) and a Memory Clinic (MC). CI was assessed using the Montreal Cognitive Assessment at FPPs. VI was assessed at an MC and FFPs using the Head Impulse- (video + bedside), Headshake-, Dix-Hallpike test, and test of sensory interaction in balance. Questionnaires included Dizziness Handicap Inventory (DHI) and Activities-specific Balance Confidence Scale (ABC). RESULTS Of 41 participants (29 FPPs, 12 MC); mean age was 80.1 ± 7.1 years, and 58.5% were female. Overall, 82.9% had VI. At FPPs, 76.0% had CI, and 72.3% had CI + VI. Bilateral vestibular hypofunction (BVH) was more common than unilateral vestibular hypofunction (UVH) (70.6% vs. 29.4%); p = 0.016. Dizziness Handicap (DHI) was not different between those with a VI (23.5 ± 23.9) versus without VI [PVI + no impairment] (10.0 ± 15.4); p = 0.160. Balance confidence (ABC) was lowest in VI but not significantly different between those with a VI (63.4 ± 27.3) versus without VI [PVI + no impairment] (85.0 ± 16.5); p = 0.053. CONCLUSIONS VI and CI are prevalent in seniors experiencing falls. For seniors with history of falls, both cognitive and vestibular functions should be considered in the assessment and subsequent treatment. Screening enables earlier detection, targeted interventions, and prevention, reducing the clinical and financial impact.
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Lenze EJ, Stevens A, Waring JD, Pham VT, Haddad R, Shimony J, Miller JP, Bowie CR. Augmenting Computerized Cognitive Training With Vortioxetine for Age-Related Cognitive Decline: A Randomized Controlled Trial. Am J Psychiatry 2020; 177:548-555. [PMID: 32212856 PMCID: PMC7560967 DOI: 10.1176/appi.ajp.2019.19050561] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVE Age-related cognitive decline, the deterioration in functions such as memory and executive function, is faced by most older adults and affects function and quality of life. No approved treatments exist for age-related cognitive decline. Computerized cognitive training has been shown to provide consistent albeit modest improvements in cognitive function as measured by neuropsychological testing. Vortioxetine, an antidepressant medication, has putative procognitive and proneuroplastic properties and therefore may be able to augment cognitive training. In this placebo-controlled study, the authors tested the cognitive benefits of vortioxetine added to cognitive training for adults age 65 or older with age-related cognitive decline. METHODS After a 2-week lead-in period of cognitive training, 100 participants were randomly assigned to receive either vortioxetine or placebo in addition to cognitive training for 26 weeks. The primary outcome measure was global cognitive performance, assessed by the NIH Toolbox Cognition Battery Fluid Cognition Composite. The secondary outcome measure was functional cognition, assessed by the UCSD Performance-Based Skills Assessment. All participants received motivational messaging and support from study staff to maximize adherence to the training. RESULTS Participants who received vortioxetine with cognitive training showed a greater increase in global cognitive performance compared with those who received placebo with cognitive training. This separation was significant at week 12 but not at other assessment time points. Both groups showed improvement in the secondary outcome measure of functional cognition, with no significant difference between groups. CONCLUSIONS Vortioxetine may be beneficial for age-related cognitive decline when combined with cognitive training. These findings provide new treatment directions for combating cognitive decline in older adults.
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Affiliation(s)
- Eric J. Lenze
- Washington University School of Medicine -- Healthy Mind Lab, Department of Psychiatry
| | - Angela Stevens
- Washington University School of Medicine -- Healthy Mind Lab, Department of Psychiatry
| | - Jill D. Waring
- St Louis University Department of Psychology, St Louis, MO
| | - Vy T. Pham
- Washington University School of Medicine -- Healthy Mind Lab, Department of Psychiatry
| | - Rita Haddad
- Washington University School of Medicine -- Healthy Mind Lab, Department of Psychiatry
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21
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Affiliation(s)
- Jason Smucny
- Department of Psychiatry and Behavioral Sciences, University of California, Davis
| | - Cameron S. Carter
- Department of Psychiatry and Behavioral Sciences, University of California, Davis
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22
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Lim EY, Shim YS, Hong YJ, Ryu SY, Cho AH, Yang DW. Different Cortical Thinning Patterns Depending on Their Prognosis in Individuals with Subjective Cognitive Decline. Dement Neurocogn Disord 2019; 18:113-21. [PMID: 31942170 DOI: 10.12779/dnd.2019.18.4.113] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 10/08/2019] [Accepted: 10/20/2019] [Indexed: 11/27/2022] Open
Abstract
Background and Purpose Subjective cognitive decline (SCD) may be the first stage corresponding to subtle cognitive changes in patients with Alzheimer's disease (AD) spectrum disorders. We evaluated the differences in cortical thinning patterns among patients with SCD who progressed to mild cognitive impairment or dementia (pSCD), those who remained stable (sSCD), and healthy normal controls (NCs). Methods We retrospectively recruited SCD subjects (14 pSCD and 21 sSCD cases) and 29 NCs. Structural 3-dimensional-T1-weighted magnetic resonance imaging was performed using a single 1.5 Tesla scanner. Freesurfer software was used to map cortical thickness for group comparisons. Results Compared with NC group, the sSCD group showed diffuse cortical atrophy associated with bilateral fronto-parieto-temporal area. The pSCD group showed further characteristic cortical atrophy in AD-vulnerable regions including the inferior parieto-temporal and middle temporal areas. Cortical thinning in the bilateral medial frontal areas was observed in patients with sSCD and involved the right inferior temporal and left precentral areas in those with pSCD. Conclusions Our study showed that SCD subjects exhibit different cortical thinning patterns depending on their prognosis.
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Abstract
Aging is a major risk factor for both normal and pathological cognitive decline. However, individuals vary in their rate of age-related decline. We developed an easily interpretable composite measure of cognitive age, and related both the level of cognitive age and cognitive slope to sociodemographic, genetic, and disease indicators and examine its prediction of dementia transition. Using a sample of 19,594 participants from the Health and Retirement Study, cognitive age was derived from a set of performance tests administered at each wave. Our findings reveal different conclusions as they relate to levels versus slopes of cognitive age, with more pronounced differences by sex and race/ethnicity for absolute levels of cognitive decline rather than for rates of declines. We also find that both level and slope of cognitive age are inversely related to education, as well as increased for persons with APOE ε4 and/or diabetes. Finally, results show that the slope in cognitive age predicts subsequent dementia among non-demented older adults. Overall, our study suggests that this measure is applicable to cross-sectional and longitudinal studies on cognitive aging, decline, and dementia with the goal of better understanding individual differences in cognitive decline.
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Affiliation(s)
- Morgan E. Levine
- Department of Pathology, Yale School of Medicine, New Haven, CT 06520, USA
- Department of Epidemiology, Yale School of Public Health, New Haven, CT 06520, USA
| | - Amal Harrati
- Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Eileen M. Crimmins
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA
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24
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Lee J, Kim J, Shin SA, Park S, Yoon DH, Kim H, Kim YK, Moon MK, Koo BK, Lee JY. Moderating Effect of Insulin Resistance on the Relationship between Gray Matter Volumes and Cognitive Function. J Clin Med 2018; 7:jcm7110413. [PMID: 30400348 PMCID: PMC6262494 DOI: 10.3390/jcm7110413] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 10/24/2018] [Accepted: 11/01/2018] [Indexed: 11/16/2022] Open
Abstract
Background: It is controversial whether exposure to insulin resistance accelerates cognitive deterioration. The present study aimed to investigate the association between insulin resistance and gray matter volume loss to predict the cognitive decline. Methods: We recruited 160 participants (78 with Alzheimer’s disease and 82 without Alzheimer’s disease). Insulin resistance, regional gray matter volume, and cognitive function were assessed. A hierarchical moderated multiple regression (MMR) model was used to determine any associations among insulin resistance, structural changes in the brain, and cognitive decline. Results: The volumes of 7 regions in the gray matter were negatively related to insulin resistance in Alzheimer’s disease (p =0.032). Hierarchical MMR analysis indicated that insulin resistance did not directly affect the cognitive decline but moderated the cognitive decline through the decrease in gray matter volume in the key brain regions, i.e., inferior orbitofrontal gyrus (left), middle cingulate gyrus (right), hippocampus (right), and precuneus (right) (p < 0.05 in each case). Conclusion: Insulin resistance appears to exacerbate the cognitive decline associated with several gray matter volume loss.
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Affiliation(s)
- Jiyeon Lee
- Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul 07061, Korea.
| | - Jihyeon Kim
- College of Medicine, Seoul National University, Seoul 03080, Korea.
| | - Seong A Shin
- Department of Biomedical Sciences, Seoul National University, Seoul 08826, Korea.
- Department of Nuclear Medicine, SMG-SNU Boramae Medical Center, Seoul 07061, Korea.
| | - Soowon Park
- Department of Education, Sejong University, Seoul 05006, Korea.
| | - Dong Hyun Yoon
- Department of Psychiatry and Behavioral Science, SMG-SNU Boramae Medical Center, Seoul 07061, Korea.
| | - Hongrae Kim
- Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul 07061, Korea.
| | - Yu Kyeong Kim
- Department of Nuclear Medicine, SMG-SNU Boramae Medical Center, Seoul 07061, Korea.
| | - Min Kyong Moon
- Department of Internal Medicine, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul 07061, Korea.
| | - Bo Kyung Koo
- Department of Internal Medicine, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul 07061, Korea.
| | - Jun-Young Lee
- Department of Psychiatry and Neuroscience Research Institute, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul 07061, Korea.
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25
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Frater J, Lie D, Bartlett P, McGrath JJ. Insulin-like Growth Factor 1 (IGF-1) as a marker of cognitive decline in normal ageing: A review. Ageing Res Rev 2018; 42:14-27. [PMID: 29233786 DOI: 10.1016/j.arr.2017.12.002] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2017] [Revised: 11/29/2017] [Accepted: 12/06/2017] [Indexed: 01/09/2023]
Abstract
Insulin-like Growth Factor 1 (IGF-1) and its signaling pathway play a primary role in normal growth and ageing, however serum IGF-1 is known to reduce with advancing age. Recent findings suggest IGF-1 is essential for neurogenesis in the adult brain, and this reduction of IGF-1 with ageing may contribute to age-related cognitive decline. Experimental studies have shown manipulation of the GH/GF-1 axis can slow rates of cognitive decline in animals, making IGF-1 a potential biomarker of cognition, and/or its signaling pathway a possible therapeutic target to prevent or slow age-related cognitive decline. A systematic literature review and qualitative narrative summary of current evidence for IGF-1 as a biomarker of cognitive decline in the ageing brain was undertaken. Results indicate IGF-1 concentrations do not confer additional diagnostic information for those with cognitive decline, and routine clinical measurement of IGF-1 is not currently justified. In cases of established cognitive impairment, it remains unclear whether increasing circulating or brain IGF-1 may reverse or slow down the rate of further decline. Advances in neuroimaging, genetics, neuroscience and the availability of large well characterized biobanks will facilitate research exploring the role of IGF-1 in both normal ageing and age-related cognitive decline.
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Abstract
Already in the 90s, Khachaturian stated that postponing dementia onset by five years would decrease the prevalence of the late onset dementia by 50%. After two decades of lack of success in dementia drug discovery and development, and knowing that worldwide, currently 36 million patients have been diagnosed with Alzheimer's disease, a number that will double by 2030 and triple by 2050, the World Health Organization and the Alzheimer's Disease International declared that prevention of cognitive decline was a 'public health priority.' Numerous longitudinal studies and meta-analyses were conducted to analyze the risk and protective factors for dementia. Among the 93 identified risk factors, seven major modifiable ones should be considered: low education, sedentary lifestyle, midlife obesity, midlife smoking, hypertension, diabetes, and midlife depression. Three other important modifiable risk factors should also be added to this list: midlife hypercholesterolemia, late life atrial fibrillation, and chronic kidney disease. After their identification, numerous authors attempted to establish dementia risk scores; however, the proposed values were not convincing. Identifying the possible interventions, able to either postpone or delay dementia has been an important challenge. Observational studies focused on a single life-style intervention increased the global optimism concerning these possibilities. However, a recent extensive literature review of the randomized control trials (RCTs) conducted before 2014 yielded negative results. The first results of RCTs of multimodal interventions (Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability, Multidomain Alzheimer Prevention Study, and Prediva) brought more optimism. Lastly, interventions targeting compounds of beta amyloid started in 2012 and no results have yet been published.
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27
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Zhang W, Shi J, Stonnington C, Bauer RJ, Gutman BA, Chen K, Thompson PM, Reiman EM, Caselli RJ, Wang Y. MORPHOMETRIC ANALYSIS OF HIPPOCAMPUS AND LATERAL VENTRICLE REVEALS REGIONAL DIFFERENCE BETWEEN COGNITIVELY STABLE AND DECLINING PERSONS. Proc IEEE Int Symp Biomed Imaging 2016; 2016:14-18. [PMID: 27499828 PMCID: PMC4974021 DOI: 10.1109/isbi.2016.7493200] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Alzheimers disease (AD) is a progressive neurodegenerative disease most prevalent in the elderly. Distinguishing disease-related memory decline from normal age-related memory decline has been clinically difficult due to the subtlety of cognitive change during the preclinical stage of AD. In contrast, sensitive biomarkers derived from in vivo neuroimaging data could improve the early identification of AD. In this study, we employed a morphometric analysis in the hippocampus and lateral ventricle. A novel group-wise template-based segmentation algorithm was developed for ventricular segmentation. Further, surface multivariate tensor-based morphometry and radial distance on each surface point were computed. Using Hotellings T2 test, we found significant morphometric differences in both hippocampus and lateral ventricle between stable and clinically declining subjects. The left hemisphere was more severely affected than the right during this early disease stage. Hippocampal and ventricular morphometry has significant potential as an imaging biomarker for onset prediction and early diagnosis of AD.
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Affiliation(s)
- Wen Zhang
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State Univ., Tempe, AZ
| | - Jie Shi
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State Univ., Tempe, AZ
| | | | | | - Boris A Gutman
- Imaging Genetics Center, Institute for Neuroimaging and Informatics, Univ. of Southern California, Marina del Rey, CA
| | - Kewei Chen
- Banner Alzheimer's Institute, Phoenix, AZ
| | - Paul M Thompson
- Imaging Genetics Center, Institute for Neuroimaging and Informatics, Univ. of Southern California, Marina del Rey, CA
| | | | | | - Yalin Wang
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State Univ., Tempe, AZ
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28
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Shah AD, Merchant FM, Delurgio DB. Atrial Fibrillation and Risk of Dementia/ Cognitive Decline. J Atr Fibrillation 2016; 8:1353. [PMID: 27909476 DOI: 10.4022/jafib.1353] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2015] [Revised: 11/14/2015] [Accepted: 11/16/2015] [Indexed: 12/21/2022]
Abstract
Emerging evidence suggests a link between atrial fibrillation and subsequent development of dementia. While a majority of risk can be attributed to cardioembolic stroke secondary to atrial fibrillation, additional risk is apparent, and may be driven by vascular inflammation and changes in cerebral perfusion. Medical therapies including anticoagulation, statin therapy, and angiotensin-renin-aldosterone axis antagonists may reduce dementia risk. Procedural therapies such as atrial fibrillation catheter ablation and left atrial appendage closure may also prove to be important mediators of acute and long-term risk. In this paper, we review the data supporting a link between atrial fibrillation and dementia syndromes, pathophysiologic mechanisms and the potential roles of medical and procedural therapies at reducing such risk.
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Affiliation(s)
- Anand D Shah
- Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, Georgia
| | - Faisal M Merchant
- Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, Georgia
| | - David B Delurgio
- Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, Georgia
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29
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Brummett BH, Austin SB, Welsh-Bohmer KA, Williams RB, Siegler IC. Long-Term Impact of Caregiving and Metabolic Syndrome with Perceived Decline in Cognitive Function 8 Years Later: A Pilot Study Suggesting Important Avenues for Future Research. ACTA ACUST UNITED AC 2013; 2:23-28. [PMID: 24634805 DOI: 10.4236/ojmp.2013.21005] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The chronic stress of caregiving has been associated with increased risk for cognitive decline and dementia. One theoretical model suggests that a group of risk factors known as the metabolic syndrome MET_SYN (e.g. hypertension, poor glucose regulation, central obesity, and high triglyceride levels) that have demonstrated associations with both stress and cognitive decline, may mediate the association between caregiver stress and cognitive decline. It is also possible that caregiving may moderate the association between MET_SYN and cognitive decline. The present study examined these two potential models. The study sample consisted of 53 caregivers for a relative with dementia and 24 participants who did not have caregiving responsibilities at baseline. We examined associations among caregiving history (yes/no), self-reported decline in cognitive function (the AD8) at follow-up, and a MET_SYN factor comprised of increased systolic blood pressure (SBP), glycosylated hemoglobin concentration (HbA1c), waist circumference, and triglyceride levels at baseline when caregiving was assessed. MET_SYN was associated with AD8 (p = 0.010). Caregiving history was not directly associated with AD8 ratings, however, caregiving did moderate the association between MET_SYN and AD8 (p = 0.043) assessed 8 years later. In caregivers MET_SYN scores reflecting higher risk were associated with scores on the AD8 indicting decline, whereas, in controls MET_SYN was unrelated to AD8 assessment. Thus, it can be concluded that caregiver stress may increase the association between metabolic risk factors and decline in cognitive functioning up to 8 years later.
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Affiliation(s)
- Beverly H Brummett
- Department of Psychiatry and Behavioral Medicine, Duke Medical Center, Durham, USA
| | - Shirley B Austin
- Department of Psychiatry and Behavioral Medicine, Duke Medical Center, Durham, USA
| | | | - Redford B Williams
- Department of Psychiatry and Behavioral Medicine, Duke Medical Center, Durham, USA
| | - Ilene C Siegler
- Department of Psychiatry and Behavioral Medicine, Duke Medical Center, Durham, USA
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