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Wright RS, Allan AC, Gamaldo AA, Morgan AA, Lee AK, Erus G, Davatzikos C, Bygrave DC. Neighborhood disadvantage is associated with working memory and hippocampal volumes among older adults. NEUROPSYCHOLOGY, DEVELOPMENT, AND COGNITION. SECTION B, AGING, NEUROPSYCHOLOGY AND COGNITION 2025; 32:55-68. [PMID: 38656243 PMCID: PMC11499292 DOI: 10.1080/13825585.2024.2345926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 04/15/2024] [Indexed: 04/26/2024]
Abstract
It is not well understood how neighborhood disadvantage is associated with specific domains of cognitive function and underlying brain health within older adults. Thus, the objective was to examine associations between neighborhood disadvantage, brain health, and cognitive performance, and examine whether associations were more pronounced among women. The study included 136 older adults who underwent cognitive testing and MRI. Neighborhood disadvantage was characterized using the Area Deprivation Index (ADI). Descriptive statistics, bivariate correlations, and multiple regressions were run. Multiple regressions, adjusted for age, sex, education, and depression, showed that higher ADI state rankings (greater disadvantage) were associated with poorer working memory performance (p < .01) and lower hippocampal volumes (p < .01), but not total, frontal, and white matter lesion volumes, nor visual and verbal memory performance. There were no significant sex interactions. Findings suggest that greater neighborhood disadvantage may play a role in working memory and underlying brain structure.
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Affiliation(s)
| | - Alexa C Allan
- Department of Human Development and Family Studies, The Pennsylvania State University, State College, PA, USA
| | | | | | - Anna K Lee
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA
| | - Guray Erus
- Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Desirée C Bygrave
- Department of Psychology, North Carolina Agricultural and Technical State University, Greensboro, NC, USA
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Wang WE, Asken BM, DeSimone JC, Levy SA, Barker W, Fiala JA, Velez-Uribe I, Curiel Cid RE, Rósselli M, Marsiske M, Adjouadi M, Loewenstein DA, Duara R, Smith GE, Armstrong MJ, Barnes LL, Vaillancourt DE, Coombes SA. Neuroimaging and biofluid biomarkers across race and ethnicity in older adults across the spectrum of cognition. Ageing Res Rev 2024; 101:102507. [PMID: 39306249 PMCID: PMC11531386 DOI: 10.1016/j.arr.2024.102507] [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: 08/08/2024] [Accepted: 09/14/2024] [Indexed: 09/27/2024]
Abstract
Neuroimaging and biofluid biomarkers provide a proxy of pathological changes for Alzheimer's disease (AD) and are useful in improving diagnosis and assessing disease progression. However, it is not clear how race/ethnicity and different prevalence of AD risks impact biomarker levels. In this narrative review, we survey studies focusing on comparing biomarker differences between non-Hispanic White American(s) (NHW), African American(s) (AA), Hispanic/Latino American(s) (HLA), and Asian American(s) with normal cognition, mild cognitive impairment, and dementia. We found no strong evidence of racial and ethnic differences in imaging biomarkers after controlling for cognitive status and cardiovascular risks. For biofluid biomarkers, in AA, higher levels of plasma Aβ42/Aβ40, and lower levels of CSF total tau and p-tau 181, were observed after controlling for APOE status and comorbidities compared to NHW. Examining the impact of AD risks and comorbidities on biomarkers and their contributions to racial/ethnic differences in cognitive impairment are critical to interpreting biomarkers, understanding their generalizability, and eliminating racial/ethnic health disparities.
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Affiliation(s)
- Wei-En Wang
- 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL, USA; Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - Breton M Asken
- 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Jesse C DeSimone
- 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL, USA; Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - Shellie-Anne Levy
- 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Warren Barker
- 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL, USA; Wien Center for Alzheimer's Disease and Memory Disorders, Mt. Sinai Medical Center, Miami, FL, USA
| | - Jacob A Fiala
- 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Idaly Velez-Uribe
- 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL, USA; Wien Center for Alzheimer's Disease and Memory Disorders, Mt. Sinai Medical Center, Miami, FL, USA
| | - Rosie E Curiel Cid
- 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL, USA; Departments of Psychiatry and Behavioral Sciences and Neurology, Center for Cognitive Neuroscience and Aging, University of Miami, Miami, FL, USA
| | - Monica Rósselli
- 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL, USA; Department of Psychology, Florida Atlantic University, Davie, FL, USA
| | - Michael Marsiske
- 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Malek Adjouadi
- 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL, USA; Center for Advanced Technology and Education, Department of Electrical and Computer Engineering, Florida International University, Miami, FL, USA
| | - David A Loewenstein
- 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL, USA; Departments of Psychiatry and Behavioral Sciences and Neurology, Center for Cognitive Neuroscience and Aging, University of Miami, Miami, FL, USA
| | - Ranjan Duara
- 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL, USA; Wien Center for Alzheimer's Disease and Memory Disorders, Mt. Sinai Medical Center, Miami, FL, USA
| | - Glenn E Smith
- 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Melissa J Armstrong
- 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL, USA; Department of Neurology, Fixel Institute for Neurological Disease, University of Florida, Gainesville, FL, USA
| | - Lisa L Barnes
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - David E Vaillancourt
- 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL, USA; Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA; Department of Neurology, Fixel Institute for Neurological Disease, University of Florida, Gainesville, FL, USA
| | - Stephen A Coombes
- 1Florida Alzheimer's Disease Research Center (ADRC), University of Florida, Gainesville, FL, USA; Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA.
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Groechel RC, Liu AC, Koton S, Kucharska-Newton AM, Lutsey PL, Mosley TH, Palta P, Sharrett AR, Walker KA, Wong DF, Gottesman RF. Associations Between Mid-Life Psychosocial Measures and Estimated Late Life Amyloid Burden: The Atherosclerosis Risk in Communities (ARIC)-PET Study. J Alzheimers Dis 2024; 97:1901-1911. [PMID: 38339934 DOI: 10.3233/jad-231218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2024]
Abstract
Background Psychosocial factors are modifiable risk factors for Alzheimer's disease (AD). One mechanism linking psychosocial factors to AD risk may be through biological measures of brain amyloid; however, this association has not been widely studied. Objective To determine if mid-life measures of social support and social isolation in the Atherosclerosis Risk in Communities (ARIC) Study cohort are associated with late life brain amyloid burden, measured using florbetapir positron emission tomography (PET). Methods Measures of social support and social isolation were assessed in ARIC participants (visit 2: 1990-1992). Brain amyloid was evaluated with florbetapir PET standardized uptake value ratios (SUVRs; visit 5: 2012-2014). Results Among 316 participants without dementia, participants with intermediate (odds ratio (OR), 0.47; 95% CI, 0.25-0.88), or low social support (OR, 0.43; 95% CI, 0.22-0.83) in mid-life were less likely to have elevated amyloid SUVRs, relative to participants with high social support. Participants with moderate risk for social isolation in mid-life (OR, 0.32; 95% CI, 0.14-0.74) were less likely to have elevated amyloid burden than participants at low risk for social isolation. These associations were not significantly modified by sex or race. Conclusions Lower social support and moderate risk of social isolation in mid-life were associated with lower odds of elevated amyloid SUVR in late life, compared to participants with greater mid-life psychosocial measures. Future longitudinal studies evaluating mid-life psychosocial factors, in relation to brain amyloid as well as other health outcomes, will strengthen our understanding of the role of these factors throughout the lifetime.
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Affiliation(s)
- Renee C Groechel
- National Institute of Neurological Disorders and Stroke Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Albert C Liu
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Silvia Koton
- Department of Nursing, The Stanley Steyer School of Health Professions, Tel Aviv University, Tel Aviv, Israel
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Anna M Kucharska-Newton
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Pamela L Lutsey
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Thomas H Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Priya Palta
- Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - A Richey Sharrett
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Keenan A Walker
- National Institute on Aging Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Dean F Wong
- Department of Radiology, Washington University, Saint Louis, MO, USA
| | - Rebecca F Gottesman
- National Institute of Neurological Disorders and Stroke Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
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Duffner LA, DeJong NR, Jansen JFA, Backes WH, de Vugt M, Deckers K, Köhler S. Associations between social health factors, cognitive activity and neurostructural markers for brain health - A systematic literature review and meta-analysis. Ageing Res Rev 2023; 89:101986. [PMID: 37356551 DOI: 10.1016/j.arr.2023.101986] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 06/09/2023] [Accepted: 06/13/2023] [Indexed: 06/27/2023]
Abstract
Social health factors (e.g., social activities or social support) and cognitive activity engagement have been associated with dementia risk, but their neural substrates have not been well established. This systematic review and meta-analysis summarizes the available evidence regarding the association between these factors and cerebral macro- and micro-structure. A comprehensive literature search was conducted in various databases, following predefined criteria. Heterogeneity, risk of publication bias and overall certainty of evidence were assessed using standardized scales and, whenever appropriate, random effects meta-analysis was conducted. Of 6715 identified articles, 43 were included. Overall, consistency of findings was low and methodological heterogeneity high for all outcomes. However, in some studies cognitive and social activities were positively associated with total brain, global and cortical grey matter and hippocampal volume as well as white matter microstructural integrity. Furthermore, structural social network characteristics (e.g., social network size) were associated with regional grey matter volumes, while functional social network characteristics (e.g., social support) were additionally associated with total brain volume. Meta-analyses revealed small but significant partial correlations between cognitive and social activities and hippocampal (three studies; n = 892; rz =0.07) and white matter hyperintensity volume (three studies; n = 2934; rz =-0.04). More prospective studies are needed to assess temporal associations.
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Affiliation(s)
- Lukas A Duffner
- Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Nathan R DeJong
- Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, the Netherlands
| | - Jacobus F A Jansen
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, the Netherlands; Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Walter H Backes
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, the Netherlands
| | - Marjolein de Vugt
- Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Kay Deckers
- Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Sebastian Köhler
- Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.
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Busch RM, Dalton JE, Jehi L, Ferguson L, Krieger NI, Struck AF, Hermann BP. Association of Neighborhood Deprivation With Cognitive and Mood Outcomes in Adults With Pharmacoresistant Temporal Lobe Epilepsy. Neurology 2023; 100:e2350-e2359. [PMID: 37076308 PMCID: PMC10256132 DOI: 10.1212/wnl.0000000000207266] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 02/21/2023] [Indexed: 04/21/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Temporal lobe epilepsy (TLE) is the most common adult form of epilepsy and is associated with a high risk of cognitive deficits and depressed mood. However, little is known about the role of environmental factors on cognition and mood in TLE. This cross-sectional study examined the relationship between neighborhood deprivation and neuropsychological function in adults with TLE. METHODS Neuropsychological data were obtained from a clinical registry of patients with TLE and included measures of intelligence, attention, processing speed, language, executive function, visuospatial skills, verbal/visual memory, depression, and anxiety. Home addresses were used to calculate the Area Deprivation Index (ADI) for each individual, which were separated into quintiles (i.e., quintile 1 = least disadvantaged and quintile 5 = most disadvantaged). Kruskal-Wallis tests compared quintile groups on cognitive domain scores and mood and anxiety scores. Multivariable regression models, with and without ADI, were estimated for overall cognitive phenotype and for mood and anxiety scores. RESULTS A total of 800 patients (median age 38 years; 58% female) met all inclusion criteria. Effects of disadvantage (increasing ADI) were observed across nearly all measured cognitive domains and with significant increases in symptoms of depression and anxiety. Furthermore, patients in more disadvantaged ADI quintiles had increased odds of a worse cognitive phenotype (p = 0.013). Patients who self-identified as members of minoritized groups were overrepresented in the most disadvantaged ADI quintiles and were 2.91 (95% CI 1.87-4.54) times more likely to be in a severe cognitive phenotype than non-Hispanic White individuals (p < 0.001). However, accounting for ADI attenuated this relationship, suggesting neighborhood deprivation may account for some of the relationship between race/ethnicity and cognitive phenotype (ADI-adjusted proportional odds ratio 1.82, 95% CI 1.37-2.42). DISCUSSION These findings highlight the importance of environmental factors and regional characteristics in neuropsychological studies of epilepsy. There are many potential mechanisms by which neighborhood disadvantage can adversely affect cognition (e.g., fewer educational opportunities, limited access to health care, food insecurity/poor nutrition, and greater medical comorbidities). Future research will seek to investigate these potential mechanisms and determine whether structural and functional alterations in the brain moderate the relationship between ADI and cognition.
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Affiliation(s)
- Robyn M Busch
- From the Epilepsy Center (R.M.B., L.J., L.F.), Department of Neurology (R.M.B., L.J.), Neurological Institute, Department of Quantitative Health Sciences (J.E.D., N.I.K.), and Center for Computational Life Sciences (L.J.), Lerner Research Institute, Cleveland Clinic, OH; and Department of Neurology (A.F.S., B.P.H.), University of Wisconsin School of Medicine and Public Health, Madison.
| | - Jarrod E Dalton
- From the Epilepsy Center (R.M.B., L.J., L.F.), Department of Neurology (R.M.B., L.J.), Neurological Institute, Department of Quantitative Health Sciences (J.E.D., N.I.K.), and Center for Computational Life Sciences (L.J.), Lerner Research Institute, Cleveland Clinic, OH; and Department of Neurology (A.F.S., B.P.H.), University of Wisconsin School of Medicine and Public Health, Madison
| | - Lara Jehi
- From the Epilepsy Center (R.M.B., L.J., L.F.), Department of Neurology (R.M.B., L.J.), Neurological Institute, Department of Quantitative Health Sciences (J.E.D., N.I.K.), and Center for Computational Life Sciences (L.J.), Lerner Research Institute, Cleveland Clinic, OH; and Department of Neurology (A.F.S., B.P.H.), University of Wisconsin School of Medicine and Public Health, Madison
| | - Lisa Ferguson
- From the Epilepsy Center (R.M.B., L.J., L.F.), Department of Neurology (R.M.B., L.J.), Neurological Institute, Department of Quantitative Health Sciences (J.E.D., N.I.K.), and Center for Computational Life Sciences (L.J.), Lerner Research Institute, Cleveland Clinic, OH; and Department of Neurology (A.F.S., B.P.H.), University of Wisconsin School of Medicine and Public Health, Madison
| | - Nikolas I Krieger
- From the Epilepsy Center (R.M.B., L.J., L.F.), Department of Neurology (R.M.B., L.J.), Neurological Institute, Department of Quantitative Health Sciences (J.E.D., N.I.K.), and Center for Computational Life Sciences (L.J.), Lerner Research Institute, Cleveland Clinic, OH; and Department of Neurology (A.F.S., B.P.H.), University of Wisconsin School of Medicine and Public Health, Madison
| | - Aaron F Struck
- From the Epilepsy Center (R.M.B., L.J., L.F.), Department of Neurology (R.M.B., L.J.), Neurological Institute, Department of Quantitative Health Sciences (J.E.D., N.I.K.), and Center for Computational Life Sciences (L.J.), Lerner Research Institute, Cleveland Clinic, OH; and Department of Neurology (A.F.S., B.P.H.), University of Wisconsin School of Medicine and Public Health, Madison
| | - Bruce P Hermann
- From the Epilepsy Center (R.M.B., L.J., L.F.), Department of Neurology (R.M.B., L.J.), Neurological Institute, Department of Quantitative Health Sciences (J.E.D., N.I.K.), and Center for Computational Life Sciences (L.J.), Lerner Research Institute, Cleveland Clinic, OH; and Department of Neurology (A.F.S., B.P.H.), University of Wisconsin School of Medicine and Public Health, Madison
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