1
|
Clouston SAP, Hanes DW, Smith DM, Richmond LL, Richards M, Link B. Inequalities in accelerated cognitive decline: Resolving observational window bias using nested non-linear regression. Alzheimers Dement 2024; 20:5540-5550. [PMID: 39001609 PMCID: PMC11350020 DOI: 10.1002/alz.14053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 05/14/2024] [Accepted: 05/16/2024] [Indexed: 08/29/2024]
Abstract
INTRODUCTION Limited observational windows lead to conflicting results in studies examining educational differences in Alzheimer's disease and related dementias (ADRD) risk, due to observational window bias relative to onset of accelerated cognitive decline. This study tested a novel model to address observational window bias and tested for the presence and sources of disparities in accelerated cognitive declines due to ADRD. METHODS The sample examined 167,314 cognitive assessments from 32,441 Health and Retirement Study participants. We implemented a parametric non-linear nested longitudinal regression and reported multivariable-adjusted nodal incidence ratios (aNIR). RESULTS University degrees were associated with lower incidence (aNIR = 0.253, 95% confidence interval [CI] = [0.221 to 0.289], p < 0.001), while black participants had a higher incidence (aNIR = 1.995, [1.858 to 2.141], p < 0.001) of accelerated cognitive decline, adjusting for demographic, sociobehavioral, and medical risk factors. Sex-stratified analyses identified diminished educational returns for women and increased incidence among minoritized women. DISCUSSION Addressing observational window bias reveals large social inequalities in the onset of accelerated cognitive declines indicative of ADRD. HIGHLIGHTS This study identifies observational window bias as a source of conflicting results among previous studies of educational achievement in Alzheimer's disease and related dementias (ADRD) disparities. The study locates preclinical accelerated cognitive decline, which is indicative of ADRD while occurring 10+ years prior to symptom onset, as a site to study ADRD disparities that mitigates observational window bias. A novel method, nested non-linear regression, is developed to test for differences in the onset of accelerated cognitive decline. Educational and racial/ethnic disparities are demonstrated in the onset of accelerated cognitive decline, as are their intersecting differences with sex/gender.
Collapse
Affiliation(s)
- Sean A. P. Clouston
- Program in Public Health, Renaissance School of MedicineStony Brook UniversityStony BrookNew YorkUSA
- Department of Family, Population, and Preventive Medicine, Renaissance School of MedicineStony Brook UniversityStony BrookNew YorkUSA
| | - Douglas W. Hanes
- Program in Public Health, Renaissance School of MedicineStony Brook UniversityStony BrookNew YorkUSA
| | - Dylan M. Smith
- Program in Public Health, Renaissance School of MedicineStony Brook UniversityStony BrookNew YorkUSA
- Department of Family, Population, and Preventive Medicine, Renaissance School of MedicineStony Brook UniversityStony BrookNew YorkUSA
| | | | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCLUniversity College LondonLondonUK
| | - Bruce Link
- Department of SociologyUniversity of California at RiversideRiversideCaliforniaUSA
- Department of Public PolicyUniversity of California at RiversideRiversideCaliforniaUSA
| |
Collapse
|
2
|
Llibre‐Guerra JJ, Jiang M, Acosta I, Sosa AL, Acosta D, Jimenez‐Velasquez IZ, Guerra M, Salas A, Rodriguez Salgado AM, Llibre‐Guerra JC, Sánchez ND, Prina M, Renton A, Albanese E, Yokoyama JS, Llibre Rodriguez JJ. Social determinants of health but not global genetic ancestry predict dementia prevalence in Latin America. Alzheimers Dement 2024; 20:4828-4840. [PMID: 38837526 PMCID: PMC11247688 DOI: 10.1002/alz.14041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 05/08/2024] [Accepted: 05/09/2024] [Indexed: 06/07/2024]
Abstract
INTRODUCTION Leveraging the nonmonolithic structure of Latin America, which represents a large variability in social determinants of health (SDoH) and high levels of genetic admixture, we aim to evaluate the relative contributions of SDoH and genetic ancestry in predicting dementia prevalence in Latin American populations. METHODS Community-dwelling participants aged 65 and older (N = 3808) from Cuba, Dominican Republic, Mexico, and Peru completed the 10/66 protocol assessments. Dementia was diagnosed using the cross-culturally validated 10/66 algorithm. Multivariate linear regression models adjusted for SDoH were used in the main analysis. This study used cross-sectional data from the 1066 population-based study. RESULTS Individuals with higher proportions of Native American (>70%) and African American (>70%) ancestry were more likely to exhibit factors contributing to worse SDoH, such as lower educational levels (p < 0.001), lower socioeconomic status (p < 0.001), and higher frequency of vascular risk factors (p < 0.001). After adjusting for measures of SDoH, there was no association between ancestry proportion and dementia probability, and ancestry proportions no longer significantly accounted for the variance in cognitive performance (African predominant p = 0.31 [-0.19, 0.59] and Native predominant p = 0.74 [-0.24, 0.33]). DISCUSSION The findings suggest that social and environmental factors play a more crucial role than genetic ancestry in predicting dementia prevalence in Latin American populations. This underscores the need for public health strategies and policies that address these social determinants to effectively reduce dementia risk in these communities. HIGHLIGHTS Countries in Latin America express a large variability in social determinants of health and levels of admixture. After adjustment for downstream societal factors linked to SDoH, genetic ancestry shows no link to dementia. Population ancestry profiles alone do not influence cognitive performance. SDoH are key drivers of racial disparities in dementia and cognitive performance.
Collapse
Affiliation(s)
- Jorge J. Llibre‐Guerra
- Department of NeurologyWashington University School of Medicine in St. LouisSt LouisMissouriUSA
| | - Miao Jiang
- Institute of Public HealthFaculty of Biomedical SciencesUniversità della Svizzera italianaLuganoSwitzerland
| | - Isaac Acosta
- Laboratory of the DementiasNational Institute of Neurology and NeurosurgeryMexico CityMexico
- National Autonomous University of MexicoMexico CityMexico
| | - Ana Luisa Sosa
- Laboratory of the DementiasNational Institute of Neurology and NeurosurgeryMexico CityMexico
- National Autonomous University of MexicoMexico CityMexico
| | - Daisy Acosta
- Internal Medicine DepartmentUniversidad Nacional Pedro Henriquez Ureña (UNPHU), Geriatric SectionSanto DomingoDominican Republic
| | - Ivonne Z. Jimenez‐Velasquez
- Internal Medicine DepartmentGeriatrics Program, School of MedicineMedical Sciences CampusUniversity of Puerto RicoSan JuanPuerto RicoUSA
| | - Mariella Guerra
- Instituto de la Memoria Depresion y Enfermedades de Riesgo IMEDERLimaPerú
| | - Aquiles Salas
- Medicine DepartmentCaracas University Hospital, Faculty of Medicine, Universidad Central de VenezuelaCaracasVenezuela
| | | | | | - Nedelys Díaz Sánchez
- Dementia Research Unit, Facultad de Medicina Finlay‐AlbarranMedical University of HavanaHavanaCuba
| | - Matthew Prina
- Population Health Sciences InstituteFaculty of Medical SciencesNewcastle UniversityNewcastle upon TyneUK
| | - Alan Renton
- Department of NeuroscienceIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Emiliano Albanese
- Institute of Public HealthFaculty of Biomedical SciencesUniversità della Svizzera italianaLuganoSwitzerland
| | - Jennifer S. Yokoyama
- Department of NeurologyUCSF Weill Institute for Neurosciences, University of California, San FranciscoSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Juan J. Llibre Rodriguez
- Dementia Research Unit, Facultad de Medicina Finlay‐AlbarranMedical University of HavanaHavanaCuba
| |
Collapse
|
3
|
Burke JF, Copeland LL, Sussman JB, Hayward RA, Gross AL, Briceño EM, Whitney R, Giordani BJ, Elkind MSV, Manly JJ, Gottesman RF, Gaskin DJ, Sidney S, Yaffe K, Sacco RL, Heckbert SR, Hughes TM, Galecki AT, Levine DA. Development and validation of the Michigan Chronic Disease Simulation Model (MICROSIM). PLoS One 2024; 19:e0300005. [PMID: 38753617 PMCID: PMC11098406 DOI: 10.1371/journal.pone.0300005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 02/19/2024] [Indexed: 05/18/2024] Open
Abstract
Strategies to prevent or delay Alzheimer's disease and related dementias (AD/ADRD) are urgently needed, and blood pressure (BP) management is a promising strategy. Yet the effects of different BP control strategies across the life course on AD/ADRD are unknown. Randomized trials may be infeasible due to prolonged follow-up and large sample sizes. Simulation analysis is a practical approach to estimating these effects using the best available existing data. However, existing simulation frameworks cannot estimate the effects of BP control on both dementia and cardiovascular disease. This manuscript describes the design principles, implementation details, and population-level validation of a novel population-health microsimulation framework, the MIchigan ChROnic Disease SIMulation (MICROSIM), for The Effect of Lower Blood Pressure over the Life Course on Late-life Cognition in Blacks, Hispanics, and Whites (BP-COG) study of the effect of BP levels over the life course on dementia and cardiovascular disease. MICROSIM is an agent-based Monte Carlo simulation designed using computer programming best practices. MICROSIM estimates annual vascular risk factor levels and transition probabilities in all-cause dementia, stroke, myocardial infarction, and mortality in a nationally representative sample of US adults 18+ using the National Health and Nutrition Examination Survey (NHANES). MICROSIM models changes in risk factors over time, cognition and dementia using changes from a pooled dataset of individual participant data from 6 US prospective cardiovascular cohort studies. Cardiovascular risks were estimated using a widely used risk model and BP treatment effects were derived from meta-analyses of randomized trials. MICROSIM is an extensible, open-source framework designed to estimate the population-level impact of different BP management strategies and reproduces US population-level estimates of BP and other vascular risk factors levels, their change over time, and incident all-cause dementia, stroke, myocardial infarction, and mortality.
Collapse
Affiliation(s)
- James F. Burke
- Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH, United States of America
| | | | - Jeremy B. Sussman
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan (U-M), Ann Arbor, MI, United States of America
- Institute for Healthcare Policy and Innovation, U-M, Ann Arbor, MI, United States of America
- Ann Arbor Veteran’s Affairs Hospital, Center for Clinical Management and Research, Ann Arbor, MI, United States of America
| | - Rodney A. Hayward
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan (U-M), Ann Arbor, MI, United States of America
- Institute for Healthcare Policy and Innovation, U-M, Ann Arbor, MI, United States of America
- Ann Arbor Veteran’s Affairs Hospital, Center for Clinical Management and Research, Ann Arbor, MI, United States of America
| | - Alden L. Gross
- Department of Epidemiology, Johns Hopkins Bloomberg School Public Health, Baltimore, MD, United States of America
| | - Emily M. Briceño
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan (U-M), Ann Arbor, MI, United States of America
- Department of Physical Medicine and Rehabilitation, U-M, Ann Arbor, MI, United States of America
| | - Rachael Whitney
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan (U-M), Ann Arbor, MI, United States of America
| | - Bruno J. Giordani
- Department of Psychiatry & Michigan Alzheimer’s Disease Center, U-M, Ann Arbor, MI, United States of America
| | - Mitchell S. V. Elkind
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States of America
| | - Jennifer J. Manly
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University, New York, NY, United States of America
| | - Rebecca F. Gottesman
- Stroke Branch, National Institute of Neurological Disorders and Stroke (NINDS), Bethesda, MD, United States of America
| | - Darrell J. Gaskin
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Stephen Sidney
- Kaiser Permanente Northern California Division of Research, Oakland, CA, United States of America
| | - Kristine Yaffe
- Departments of Psychiatry, Neurology and Epidemiology, University of California, San Francisco, San Francisco, CA, United States of America
| | - Ralph L. Sacco
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, United States of America
| | - Susan R. Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, United States of America
| | - Timothy M. Hughes
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Andrzej T. Galecki
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan (U-M), Ann Arbor, MI, United States of America
- Department of Biostatistics, U-M, Ann Arbor, MI, United States of America
| | - Deborah A. Levine
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan (U-M), Ann Arbor, MI, United States of America
- Institute for Healthcare Policy and Innovation, U-M, Ann Arbor, MI, United States of America
| |
Collapse
|
4
|
Mazumder AH, Barnett JH, Halt AH, Taivalantti M, Kerkelä M, Järvelin MR, Veijola J. Visual memory and alcohol use in a middle-aged birth cohort. BMC Public Health 2024; 24:788. [PMID: 38481169 PMCID: PMC10935933 DOI: 10.1186/s12889-024-18153-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 02/19/2024] [Indexed: 03/17/2024] Open
Abstract
Light and moderate alcohol use has been reported to be associated with both impaired and enhanced cognition. The purpose of this study was to explore whether there was a linear relationship between visual memory and alcohol consumption in males and females in a large middle-aged birth cohort population in cross-sectional and longitudinal settings. Data were collected from 5585 participants completing 31-year (1997-1998) and 46-year (2012-2014) follow-ups including Paired Associate Learning (PAL) test at 46-years follow-up. The participants were originally from 12,231 study population of the Northern Finland Birth Cohort 1966 (NFBC1966). The PAL test was conducted to assess visual memory. Reported alcohol use was measured as total daily use of alcohol, beer, wine, and spirits converted into grams and as frequency and amount of use of beer, wine, and spirits. The total daily alcohol use was not associated with reduced visual memory. The frequency of use of beer and wine in males was associated with better visual memory in cross-sectional and longitudinal settings. Using six or more servings of spirits was associated with worse visual memory in males in cross-sectional and longitudinal settings. Using six or more servings of spirits was associated with worse visual memory in males in cross-sectional and longitudinal setting. The study suggested a lack of a linear association between drinking and visual memory in the middle-aged population.
Collapse
Affiliation(s)
- Atiqul Haq Mazumder
- Department of Psychiatry, Research Unit of Clinical Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland.
- Department of Psychiatry, Turku Psychosis and Substance Use (TuPSU), University of Turku, Turku, Finland.
| | | | - Anu-Helmi Halt
- Department of Psychiatry, Research Unit of Clinical Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland
- Medical Research Centre Oulu, University Hospital of Oulu and University of Oulu, and Department of Psychiatry, University Hospital of Oulu, Oulu, Finland
| | - Marjo Taivalantti
- Department of Psychiatry, Research Unit of Clinical Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland
- Medical Research Centre Oulu, University Hospital of Oulu and University of Oulu, and Department of Psychiatry, University Hospital of Oulu, Oulu, Finland
| | - Martta Kerkelä
- Department of Psychiatry, Research Unit of Clinical Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Marjo-Riitta Järvelin
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC Health Protection Agency (HPE), Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, UK
| | - Juha Veijola
- Department of Psychiatry, Research Unit of Clinical Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland
- Medical Research Centre Oulu, University Hospital of Oulu and University of Oulu, and Department of Psychiatry, University Hospital of Oulu, Oulu, Finland
| |
Collapse
|
5
|
Royse SK, Snitz BE, Hengenius JB, Huppert TJ, Roush RE, Ehrenkranz RE, Wilson JD, Bertolet M, Reese AC, Cisneros G, Potopenko K, Becker JT, Cohen AD, Shaaban CE. Unhealthy white matter connectivity, cognition, and racialization in older adults. Alzheimers Dement 2024; 20:1483-1496. [PMID: 37828730 PMCID: PMC10947965 DOI: 10.1002/alz.13494] [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: 04/16/2023] [Revised: 09/06/2023] [Accepted: 09/10/2023] [Indexed: 10/14/2023]
Abstract
INTRODUCTION White matter hyperintensities (WMH) may promote clinical Alzheimer's disease (AD) disparities between Black American (BA) and non-Hispanic White (nHW) populations. Using a novel measurement, unhealthy white matter connectivity (UWMC), we interrogated racialized group differences in associations between WMH in AD pathology-affected regions and cognition. METHODS UWMC is the proportion of white matter fibers that pass through WMH for every pair of brain regions. Individual regression models tested associations of UWMC in beta-amyloid (Aβ) or tau pathology-affected regions with cognition overall, stratified by racialized group, and with a racialized group interaction. RESULTS In 201 older adults ranging from cognitively unimpaired to AD, BA participants exhibited greater UWMC and worse cognition than nHW participants. UWMC was negatively associated with cognition in 17 and 5 Aβ- and tau-affected regions, respectively. Racialization did not modify these relationships. DISCUSSION Differential UWMC burden, not differential UWMC-and-cognition associations, may drive clinical AD disparities between racialized groups. HIGHLIGHTS Unhealthy white matter connectivity (UWMC) in Alzheimer's disease (AD) pathology-affected brain regions is associated with cognition. Relationships between UWMC and cognition are similar between Black American (BA) and non-Hispanic White (nHW) individuals. More UWMC may partially drive higher clinical AD burden in BA versus nHW populations. UWMC risk factors, particularly social and environmental, should be identified.
Collapse
Affiliation(s)
- Sarah K. Royse
- Department of EpidemiologyUniversity of PittsburghPittsburghPennsylvaniaUSA
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Beth E. Snitz
- Department of NeurologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - James B. Hengenius
- Department of EpidemiologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Theodore J. Huppert
- Department of Electrical EngineeringUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Rebecca E. Roush
- Department of NeurologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | | | - James D. Wilson
- Department of Mathematics and StatisticsUniversity of San FranciscoSan FranciscoCaliforniaUSA
| | - Marnie Bertolet
- Department of EpidemiologyUniversity of PittsburghPittsburghPennsylvaniaUSA
- Department of BiostatisticsUniversity of PittsburghPittsburghPennsylvaniaUSA
| | | | - Geraldine Cisneros
- Department of PsychologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Katey Potopenko
- Department of PsychologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - James T. Becker
- Department of NeurologyUniversity of PittsburghPittsburghPennsylvaniaUSA
- Department of BiostatisticsUniversity of PittsburghPittsburghPennsylvaniaUSA
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Ann D. Cohen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | | |
Collapse
|
6
|
Yannatos I, Stites SD, Boen C, Xie SX, Brown RT, McMillan CT. Epigenetic age and socioeconomic status contribute to racial disparities in cognitive and functional aging between Black and White older Americans. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.29.23296351. [PMID: 37873230 PMCID: PMC10592997 DOI: 10.1101/2023.09.29.23296351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Epigenetic age, a biological aging marker measured by DNA methylation, is a potential mechanism by which social factors drive disparities in age-related health. Epigenetic age gap is the residual between epigenetic age measures and chronological age. Previous studies showed associations between epigenetic age gap and age-related outcomes including cognitive capacity and performance on some functional measures, but whether epigenetic age gap contributes to disparities in these outcomes is unknown. We use data from the Health and Retirement Study to examine the role of epigenetic age gap in racial disparities in cognitive and functional outcomes and consider the role of socioeconomic status (SES). Epigenetic age measures are GrimAge or Dunedin Pace of Aging methylation (DPoAm). Cognitive outcomes are cross-sectional score and two-year change in Telephone Interview for Cognitive Status (TICS). Functional outcomes are prevalence and incidence of limitations performing Instrumental Activities of Daily Living (IADLs). We find, relative to White participants, Black participants have lower scores and greater decline in TICS, higher prevalence and incidence rates of IADL limitations, and higher epigenetic age gap. Age- and gender-adjusted analyses reveal that higher GrimAge and DPoAm gap are both associated with worse cognitive and functional outcomes and mediate 6-11% of racial disparities in cognitive outcomes and 19-39% of disparities in functional outcomes. Adjusting for SES attenuates most DPoAm associations and most mediation effects. These results support that epigenetic age gap contributes to racial disparities in cognition and functioning and may be an important mechanism linking social factors to disparities in health outcomes.
Collapse
Affiliation(s)
- Isabel Yannatos
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
| | - Shana D. Stites
- Department of Psychiatry, Perelman School of Medicine, Philadelphia, USA
| | - Courtney Boen
- Department of Sociology, University of Pennsylvania, Philadelphia, USA
| | - Sharon X. Xie
- Deptartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, USA
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, USA
| | - Rebecca T. Brown
- Division of Geriatric Medicine, Perelman School of Medicine, Philadelphia, USA
- Geriatrics and Extended Care Program, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, USA
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, USA
| | - Corey T. McMillan
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
| |
Collapse
|
7
|
Puthran R, Janeslätt G, Acharya V, Ramachandran M, Dsouza SA. Cross-cultural adaptation of assessments for time-related abilities of Indian older adults and evaluation of their reliability and validity. Scand J Occup Ther 2023; 30:1153-1166. [PMID: 37200526 DOI: 10.1080/11038128.2023.2211314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 04/16/2023] [Accepted: 05/02/2023] [Indexed: 05/20/2023]
Abstract
BACKGROUND Older adults may have difficulties in daily time management due to age-related or disease-related cognitive impairment. Standardised assessments for time-related abilities are currently unavailable in India. AIM The study aimed to adapt the Kit for Assessing Time-processing Ability-Senior (KaTid-Senior) and Time-Self rating, Senior (Time-S Senior) for daily time management of Indian older adults, translate these into an Indian language, and evaluate the reliability and validity of the adapted assessments. MATERIALS AND METHODS The two Swedish-origin assessments were reviewed, adapted for linguistic and cultural relevance into English, and translated into Kannada language. Older adults (n = 128) were conveniently selected, assessed with the Montreal Cognitive Assessment, and assigned to age and gender-matched groups: cognitively-impaired and cognitively-normal. Data was then collected with the adapted assessments. RESULTS Both adapted assessments demonstrated acceptable reliability (internal consistency) in this sample (α =0.89 - 0.90). The cognitively-impaired group had significantly (p < 0.001) lower scores on the assessments as compared to the cognitively-normal group. There was a strong to moderate correlation between the assessments supporting their convergent validity. CONCLUSIONS The adapted assessments are reliable and valid in the Indian context. SIGNIFICANCE The study would facilitate contextually-relevant assessment and management of time-related abilities in Indian older adults.
Collapse
Affiliation(s)
- Reeti Puthran
- Department of Occupational Therapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, India
- Jupiter Hospital, Thane, India
| | - Gunnel Janeslätt
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
- Center for Clinical Research in Dalarna, Uppsala University, Uppsala, Sweden
| | - Vinita Acharya
- Department of Occupational Therapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, India
| | - Meena Ramachandran
- Department of Occupational Therapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, India
- Bridgepoint Collaboratory for Research and Innovation, Sinai Health, Toronto, Canada
- School of Physical and Occupational Therapy, McGill University, Montreal, Canada
| | - Sebestina Anita Dsouza
- Department of Occupational Therapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, India
- Centre for Studies on Health Aging, Manipal Academy of Higher Education, Manipal, India
| |
Collapse
|
8
|
Pope CN, Wheeler KM, Bell TR, Carroll BE, Ross LA, Crowe M, Black SR, Clay OJ, Ball KK. Social and Neighborhood Context Moderates the Associations Between Processing Speed and Driving Mobility: A 10-year Analysis of the ACTIVE Study. J Aging Health 2023; 35:26S-39S. [PMID: 37994848 DOI: 10.1177/08982643231163907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2023]
Abstract
Objectives: Processing speed is essential to functional independence in later life, such as driving a vehicle. Few studies have examined processing speed and driving mobility in the context of racial differences and social determinants of health (SDoH). This study characterized the longitudinal association between processing speed and driving mobility, and how it varied by race and SDoH. Methods: Using data from the control arm of the Advanced Cognitive Training in Vital Elderly study (n = 581, 24.5% Black), multilevel models examined longitudinal associations between processing speed and driving mobility outcomes (driving space, exposure, and difficulty). Race and SDoH moderations were explored. Results: Decline in processing speed measures was associated with increased self-reported driving difficulty, but only for older adults with below-average to average scores for neighborhood and built environments and social community context SDoH domains. Discussion: Findings emphasize the influence of physical and social environmental characteristics on processing speed and driving mobility.
Collapse
Affiliation(s)
- Caitlin N Pope
- Department of Health, Behavior and Society, University of Kentucky, Lexington, KY, USA
| | - Katie M Wheeler
- Department of Psychology, University of Alabama at Birmingham, AL, USA
| | - Tyler R Bell
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Brooke E Carroll
- Department of Psychology, University of Alabama at Birmingham, AL, USA
| | - Lesley A Ross
- Department of Psychology, Clemson University, SC, USA
| | - Michael Crowe
- Department of Psychology, University of Alabama at Birmingham, AL, USA
| | - Shelia R Black
- Department of Psychology, The University of Alabama, Tuscaloosa, AL, USA
| | - Olivio J Clay
- Department of Psychology, University of Alabama at Birmingham, AL, USA
| | - Karlene K Ball
- Department of Psychology, University of Alabama at Birmingham, AL, USA
| |
Collapse
|
9
|
Andel R, Veal BM, Howard VJ, MacDonald LA, Judd SE, Crowe M. Retirement and cognitive aging in a racially diverse sample of older Americans. J Am Geriatr Soc 2023; 71:2769-2778. [PMID: 37465869 PMCID: PMC10526697 DOI: 10.1111/jgs.18475] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 04/27/2023] [Accepted: 05/25/2023] [Indexed: 07/20/2023]
Abstract
BACKGROUND Retirement represents a crucial transitional period for many adults with possible consequences for cognitive aging. We examined trajectories of cognitive change before and after retirement in Black and White adults. METHODS Longitudinal examination of up to 10 years (mean = 7.1 ± 2.2 years) using data from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study-a national, longitudinal study of Black and White adults ≥45 years of age. Data were from 2226 members of the REGARDS study who retired around the time when an occupational ancillary survey was administered. Cognitive function was an average of z-scores for tests of verbal fluency, memory, and global function. RESULTS Cognitive functioning was stable before retirement (Estimate = 0.05, p = 0.322), followed by a significant decline after retirement (Estimate = -0.15, p < 0.001). The decline was particularly pronounced in White (Estimate = -0.19, p < 0.001) compared with Black (Estimate = -0.07, p = 0.077) participants, twice as large in men (Estimate = -0.20, p < 0.001) compared with women (Estimate = -0.11, p < 0.001), highest among White men (Estimate = -0.22, p < 0.001) and lowest in Black women (Estimate = -0.04, p = 0.457). Greater post-retirement cognitive decline was also observed among participants who attended college (Estimate = -0.14, p = 0.016). While greater work complexity (Estimate = 0.92, p < 0.05) and higher income (Estimate = 1.03, p < 0.05) were related to better cognitive function at retirement, neither was significantly related to cognitive change after retirement. CONCLUSION Cognitive functioning may decline at an accelerated rate immediately post-retirement, more so in White adults and men than Black adults and women. Lifelong structural inequalities including occupational segregation and other social determinants of cognitive health may obscure the role of retirement in cognitive aging.
Collapse
Affiliation(s)
- Ross Andel
- Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, United States
- Department of Neurology, Charles University, Second Faculty of Medicine and Motol University Hospital, Prague, Czech Republic
| | - Britney M. Veal
- School of Aging Studies, University of South Florida, Tampa, FL, United States
| | - Virginia J. Howard
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Leslie A. MacDonald
- Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, Cincinnati, OH, United States
| | - Suzanne E. Judd
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Michael Crowe
- Department of Psychology, University of Alabama at Birmingham, Birmingham AL, United States
| |
Collapse
|
10
|
Logue MW, Dasgupta S, Farrer LA. Genetics of Alzheimer's Disease in the African American Population. J Clin Med 2023; 12:5189. [PMID: 37629231 PMCID: PMC10455208 DOI: 10.3390/jcm12165189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 08/02/2023] [Accepted: 08/06/2023] [Indexed: 08/27/2023] Open
Abstract
Black/African American (AA) individuals have a higher risk of Alzheimer's disease (AD) than White non-Hispanic persons of European ancestry (EUR) for reasons that may include economic disparities, cardiovascular health, quality of education, and biases in the methods used to diagnose AD. AD is also heritable, and some of the differences in risk may be due to genetics. Many AD-associated variants have been identified by candidate gene studies, genome-wide association studies (GWAS), and genome-sequencing studies. However, most of these studies have been performed using EUR cohorts. In this paper, we review the genetics of AD and AD-related traits in AA individuals. Importantly, studies of genetic risk factors in AA cohorts can elucidate the molecular mechanisms underlying AD risk in AA and other populations. In fact, such studies are essential to enable reliable precision medicine approaches in persons with considerable African ancestry. Furthermore, genetic studies of AA cohorts allow exploration of the ways the impact of genes can vary by ancestry, culture, and economic and environmental disparities. They have yielded important gains in our knowledge of AD genetics, and increasing AA individual representation within genetic studies should remain a priority for inclusive genetic study design.
Collapse
Affiliation(s)
- Mark W. Logue
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA 02130, USA;
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA;
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Shoumita Dasgupta
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA;
- Department of Medical Sciences and Education, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Lindsay A. Farrer
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA;
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
- Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA
- Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| |
Collapse
|
11
|
Santamaria-Garcia H, Moguilner S, Rodriguez-Villagra OA, Botero-Rodriguez F, Pina-Escudero SD, O'Donovan G, Albala C, Matallana D, Schulte M, Slachevsky A, Yokoyama JS, Possin K, Ndhlovu LC, Al-Rousan T, Corley MJ, Kosik KS, Muniz-Terrera G, Miranda JJ, Ibanez A. The impacts of social determinants of health and cardiometabolic factors on cognitive and functional aging in Colombian underserved populations. GeroScience 2023; 45:2405-2423. [PMID: 36849677 PMCID: PMC10651610 DOI: 10.1007/s11357-023-00755-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 02/14/2023] [Indexed: 03/01/2023] Open
Abstract
Global initiatives call for further understanding of the impact of inequity on aging across underserved populations. Previous research in low- and middle-income countries (LMICs) presents limitations in assessing combined sources of inequity and outcomes (i.e., cognition and functionality). In this study, we assessed how social determinants of health (SDH), cardiometabolic factors (CMFs), and other medical/social factors predict cognition and functionality in an aging Colombian population. We ran a cross-sectional study that combined theory- (structural equation models) and data-driven (machine learning) approaches in a population-based study (N = 23,694; M = 69.8 years) to assess the best predictors of cognition and functionality. We found that a combination of SDH and CMF accurately predicted cognition and functionality, although SDH was the stronger predictor. Cognition was predicted with the highest accuracy by SDH, followed by demographics, CMF, and other factors. A combination of SDH, age, CMF, and additional physical/psychological factors were the best predictors of functional status. Results highlight the role of inequity in predicting brain health and advancing solutions to reduce the cognitive and functional decline in LMICs.
Collapse
Affiliation(s)
- Hernando Santamaria-Garcia
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, CA, USA.
- Pontificia Universidad Javeriana (Ph.D. Program in Neuroscience, Department of Psychiatry), Bogotá, Colombia.
- Center of Memory and Cognition Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia.
| | - Sebastian Moguilner
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago de Chile, Chile
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, and CONICET, Buenos Aires, Argentina
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Felipe Botero-Rodriguez
- Pontificia Universidad Javeriana (Ph.D. Program in Neuroscience, Department of Psychiatry), Bogotá, Colombia
| | - Stefanie Danielle Pina-Escudero
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, CA, USA
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Gary O'Donovan
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago de Chile, Chile
- Facultad de Medicina, Universidad de los Andes, Bogotá, Colombia
| | - Cecilia Albala
- Instituto de Nutrición Y Tecnología de los Alimentos, Universidad de Chile, Avenida El Líbano 5524, Macul, Santiago, Chile
| | - Diana Matallana
- Pontificia Universidad Javeriana (Ph.D. Program in Neuroscience, Department of Psychiatry), Bogotá, Colombia
- Center of Memory and Cognition Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia
- Mental Health Department, Hospital Universitario Fundación Santa Fe de Bogotá, Memory Clinic, Bogotá, Colombia
| | - Michael Schulte
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago de Chile, Chile
| | - Andrea Slachevsky
- Neuropsychology and Clinical Neuroscience Laboratory (LANNEC), Physiopathology Department - Institute of Biomedical Sciences (ICBM), Neurocience and East Neuroscience Departments, Faculty of Medicine, University of Chile, Santiago de Chile, Chile
- Geroscience Center for Brain Health and Metabolism, (GERO), Santiago de Chile, Chile
- Memory and Neuropsychiatric Center (CMYN), Memory Unit - Neurology Department, Hospital del Salvador and Faculty of Medicine, University of Chile, Santiago de Chile, Chile
- Servicio de Neurología, Departamento de Medicina, Clínica Alemana-Universidad del Desarrollo, Santiago de Chile, Chile
| | - Jennifer S Yokoyama
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, CA, USA
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Katherine Possin
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, CA, USA
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Lishomwa C Ndhlovu
- Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, New York, NY, USA
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Tala Al-Rousan
- Herbert Wertheim School of Public Health, University of California San Diego, La Jolla, CA, USA
| | - Michael J Corley
- Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, New York, NY, USA
| | - Kenneth S Kosik
- Neuroscience Research Institute. Department of Molecular Cellular and Developmental Biology, University of California Santa Barbara, Santa Barbara, CA, USA
| | - Graciela Muniz-Terrera
- Edinburgh Dementia Prevention, University of Edinburgh, Edinburgh, UK
- Department of Primary Care, Ohio University, Athens, USA
| | - J Jaime Miranda
- CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru
- Department of Medicine, School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
- The George Institute for Global Health, UNSW, Sydney, Australia
| | - Agustin Ibanez
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, CA, USA.
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago de Chile, Chile.
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, and CONICET, Buenos Aires, Argentina.
- Trinity College Dublin (TCD), Dublin, Ireland.
| |
Collapse
|
12
|
Niino M, Miyazaki Y, Altincatal A, Belviso N, Kanda M, Chinen I, Edwards M, de Moor C, Williams JR, Rao SM. Processing speed test: Results from a Japanese normative sample of healthy participants compared with a US normative sample. Clin Neurol Neurosurg 2023; 230:107790. [PMID: 37229953 DOI: 10.1016/j.clineuro.2023.107790] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 05/09/2023] [Accepted: 05/13/2023] [Indexed: 05/27/2023]
Abstract
BACKGROUND The Processing Speed Test (PST), a validated iPad®-based cognitive screening test for MS, has been applied to the cognitive assessment of Japanese MS patients using US normative data. METHODS To develop PST normative data from Japanese healthy volunteers and compare the PST score distribution between Japanese and US healthy volunteers, 254 healthy Japanese-speaking volunteers were enrolled and stratified by age (20-65 years). Potential participants with a Mini-Mental State Examination score < 27 were excluded. PST raw scores (total correct) were from the Japan cohort and compared with age-restricted US normative data and propensity score-matched data created by matching sex, age, and educational level from a published study of 428 healthy participants. PST score distributions and standardized z-scores were compared using t-test and Kolmogorov-Smirnov test statistics. RESULTS The mean age of the Japan cohort was 44.1 years. The PST scores of Japanese volunteers were significantly different from those of the age-restricted (mean ± SD 61.8 ± 10.1 vs 53.7 ± 10.8; p < 0.001) and the propensity score-matched US cohort (62.1 ± 10.1 vs 53.3 ± 10.6; p < 0.001). CONCLUSION Regression analyses centered on US normative data could underestimate disease severity in Japanese MS patients, suggesting that separate normative data should be considered for each population sample.
Collapse
Affiliation(s)
- Masaaki Niino
- Department of Clinical Research, National Hospital Organization Hokkaido Medical Center, Sapporo, Japan.
| | - Yusei Miyazaki
- Department of Clinical Research, National Hospital Organization Hokkaido Medical Center, Sapporo, Japan
| | | | | | | | | | | | | | | | - Stephen M Rao
- Schey Center for Cognitive Neuroimaging, Lou Ruvo Center for Brain Health, Neurological Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| |
Collapse
|
13
|
Gross AL, Li C, Briceno EM, Rentería MA, Jones RN, Langa KM, Manly JJ, Nichols EL, Weir D, Wong R, Berkman L, Lee J, Kobayashi LC. Harmonization of Later-Life Cognitive Function Across National Contexts: Results from the Harmonized Cognitive Assessment Protocols (HCAPs). MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.09.23291217. [PMID: 37398152 PMCID: PMC10312860 DOI: 10.1101/2023.06.09.23291217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Background The Harmonized Cognitive Assessment Protocol (HCAP) is an innovative instrument for cross-national comparisons of later-life cognitive function, yet its suitability across diverse populations is unknown. We aimed to harmonize general and domain-specific cognitive scores from HCAPs across six countries, and evaluate precision and criterion validity of the resulting harmonized scores. Methods We statistically harmonized general and domain-specific cognitive function across the six publicly available HCAP partner studies in the United States, England, India, Mexico, China, and South Africa (N=21,141). We used an item banking approach that leveraged common cognitive test items across studies and tests that were unique to studies, as identified by a multidisciplinary expert panel. We generated harmonized factor scores for general and domain- specific cognitive function using serially estimated graded-response item response theory (IRT) models. We evaluated precision of the factor scores using test information plots and criterion validity using age, gender, and educational attainment. Findings IRT models of cognitive function in each country fit well. We compared measurement reliability of the harmonized general cognitive function factor across each cohort using test information plots; marginal reliability was high (r> 0·90) for 93% of respondents across six countries. In each country, general cognitive function scores were lower with older ages and higher with greater levels of educational attainment. Interpretation We statistically harmonized cognitive function measures across six large, population-based studies of cognitive aging in the US, England, India, Mexico, China, and South Africa. Precision of the estimated scores was excellent. This work provides a foundation for international networks of researchers to make stronger inferences and direct comparisons of cross-national associations of risk factors for cognitive outcomes. Funding National Institute on Aging (R01 AG070953, R01 AG030153, R01 AG051125, U01 AG058499; U24 AG065182; R01AG051158).
Collapse
|
14
|
Levine DA, Chen B, Galecki AT, Gross AL, Briceño EM, Whitney RT, Ploutz-Snyder RJ, Giordani BJ, Sussman JB, Burke JF, Lazar RM, Howard VJ, Aparicio HJ, Beiser AS, Elkind MSV, Gottesman RF, Koton S, Pendlebury ST, Sharma A, Springer MV, Seshadri S, Romero JR, Hayward RA. Associations Between Vascular Risk Factor Levels and Cognitive Decline Among Stroke Survivors. JAMA Netw Open 2023; 6:e2313879. [PMID: 37195662 PMCID: PMC10193182 DOI: 10.1001/jamanetworkopen.2023.13879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 03/30/2023] [Indexed: 05/18/2023] Open
Abstract
Importance Incident stroke is associated with accelerated cognitive decline. Whether poststroke vascular risk factor levels are associated with faster cognitive decline is uncertain. Objective To evaluate associations of poststroke systolic blood pressure (SBP), glucose, and low-density lipoprotein (LDL) cholesterol levels with cognitive decline. Design, Setting, and Participants Individual participant data meta-analysis of 4 US cohort studies (conducted 1971-2019). Linear mixed-effects models estimated changes in cognition after incident stroke. Median (IQR) follow-up was 4.7 (2.6-7.9) years. Analysis began August 2021 and was completed March 2023. Exposures Time-dependent cumulative mean poststroke SBP, glucose, and LDL cholesterol levels. Main Outcomes and Measures The primary outcome was change in global cognition. Secondary outcomes were change in executive function and memory. Outcomes were standardized as t scores (mean [SD], 50 [10]); a 1-point difference represents a 0.1-SD difference in cognition. Results A total of 1120 eligible dementia-free individuals with incident stroke were identified; 982 (87.7%) had available covariate data and 138 (12.3%) were excluded for missing covariate data. Of the 982, 480 (48.9%) were female individuals, and 289 (29.4%) were Black individuals. The median age at incident stroke was 74.6 (IQR, 69.1-79.8; range, 44.1-96.4) years. Cumulative mean poststroke SBP and LDL cholesterol levels were not associated with any cognitive outcome. However, after accounting for cumulative mean poststroke SBP and LDL cholesterol levels, higher cumulative mean poststroke glucose level was associated with faster decline in global cognition (-0.04 points/y faster per each 10-mg/dL increase [95% CI, -0.08 to -0.001 points/y]; P = .046) but not executive function or memory. After restricting to 798 participants with apolipoprotein E4 (APOE4) data and controlling for APOE4 and APOE4 × time, higher cumulative mean poststroke glucose level was associated with a faster decline in global cognition in models without and with adjustment for cumulative mean poststroke SBP and LDL cholesterol levels (-0.05 points/y faster per 10-mg/dL increase [95% CI, -0.09 to -0.01 points/y]; P = .01; -0.07 points/y faster per 10-mg/dL increase [95% CI, -0.11 to -0.03 points/y]; P = .002) but not executive function or memory declines. Conclusions and Relevance In this cohort study, higher poststroke glucose levels were associated with faster global cognitive decline. We found no evidence that poststroke LDL cholesterol and SBP levels were associated with cognitive decline.
Collapse
Affiliation(s)
- Deborah A. Levine
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan, Ann Arbor
- Department of Neurology and Stroke Program, University of Michigan, Ann Arbor
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
| | - Bingxin Chen
- Department of Nursing, University of Michigan, Ann Arbor
| | - Andrzej T. Galecki
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan, Ann Arbor
- Department of Biostatistics, University of Michigan, Ann Arbor
| | - Alden L. Gross
- Department of Epidemiology, Johns Hopkins Bloomberg School Public Health, Baltimore, Maryland
| | - Emily M. Briceño
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan, Ann Arbor
- Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor
| | - Rachael T. Whitney
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan, Ann Arbor
| | | | - Bruno J. Giordani
- Department of Psychiatry and Michigan Alzheimer’s Disease Center, University of Michigan, Ann Arbor
| | - Jeremy B. Sussman
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan, Ann Arbor
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
- VA Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - James F. Burke
- Department of Neurology, Ohio State University College of Medicine, Columbus
| | - Ronald M. Lazar
- Department of Neurology and Evelyn F. McKnight Brain Institute, Heersink School of Medicine, University of Alabama at Birmingham
| | - Virginia J. Howard
- Department of Epidemiology, University of Alabama at Birmingham School of Public Health
| | - Hugo J. Aparicio
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, Massachusetts
| | - Alexa S. Beiser
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Mitchell S. V. Elkind
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Rebecca F. Gottesman
- Stroke Branch, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | - Silvia Koton
- Department of Epidemiology, Johns Hopkins Bloomberg School Public Health, Baltimore, Maryland
- Department of Nursing, The Stanley Steyer School of Health Professions, Tel Aviv University, Tel Aviv, Israel
| | - Sarah T. Pendlebury
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
- NIHR Biomedical Research Centre, Departments of Medicine and Geratology, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Anu Sharma
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan, Ann Arbor
| | - Mellanie V. Springer
- Department of Neurology and Stroke Program, University of Michigan, Ann Arbor
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
| | - Sudha Seshadri
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, Massachusetts
- Department of Neurology and Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, Joe R. and Teresa Lozano Long School of Medicine, University of Texas San Antonio
| | - Jose R. Romero
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, Massachusetts
| | - Rodney A. Hayward
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan, Ann Arbor
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
- VA Ann Arbor Healthcare System, Ann Arbor, Michigan
| |
Collapse
|
15
|
Rosso AL, Troxel WM, Gary-Webb TL, Weinstein AM, Butters MA, Palimaru A, Ghosh-Dastidar B, Wagner L, Nugroho A, Hunter G, Parker J, Dubowitz T. Design of the think PHRESH longitudinal cohort study: Neighborhood disadvantage, cognitive aging, and alzheimer's disease risk in disinvested, black neighborhoods. BMC Public Health 2023; 23:636. [PMID: 37013498 PMCID: PMC10069058 DOI: 10.1186/s12889-023-15381-9] [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: 11/22/2022] [Accepted: 03/06/2023] [Indexed: 04/05/2023] Open
Abstract
BACKGROUND Black Americans have disproportionately higher rates and earlier onset of Alzheimer's disease and related dementias (ADRD) relative to White Americans. We currently lack a comprehensive understanding of how the lived experience and broader societal factors, including cumulative exposure to structural racism and the mechanisms underlying the risks, may contribute to elevated ADRD risk in Black Americans. METHODS The Think PHRESH study builds on existing, community-based research infrastructure, from the ongoing Pittsburgh Hill/Homewood Research on Neighborhood Change and Health (PHRESH) studies, to examine the contributions of dynamic neighborhood socioeconomic conditions across the lifecourse to cognitive outcomes in mid- and late-life adults living in two historically disinvested, predominantly Black communities (anticipated n = 1133). This longitudinal, mixed-methods study rests on the premise that neighborhood racial segregation and subsequent disinvestment contributes to poor cognitive outcomes via factors including (a) low access to educational opportunities and (b) high exposure to race- and socioeconomically-relevant stressors, such as discrimination, trauma, and adverse childhood events. In turn, these cumulative exposures foster psychological vigilance in residents, leading to cardiometabolic dysregulation and sleep disruption, which may mediate associations between neighborhood disadvantage and ADRD risk. This premise recognizes the importance of potential protective factors that may promote cognitive health, including neighborhood social cohesion, safety, and satisfaction. The proposed study will leverage our existing longitudinal data on risk/protective factors and biobehavioral mediators and will include: (1) up to three waves of cognitive assessments in participants ages 50 years + and one assessment in participants ages 35-49 years; clinical adjudication of ADRD will be completed in participants who are 50+, (2) extensive surveys of risk and protective factors, (3) two assessments of blood pressure and objectively measured sleep, (4) a comprehensive assessment of life and residential history; and (5) two rounds of in-depth qualitative interviews to reveal lifecourse opportunities and barriers experienced by Black Americans in achieving optimal cognitive health in late life. DISCUSSION Understanding how structural racism has influenced the lived experience of Black Americans, including dynamic changes in neighborhood conditions over time, is critical to inform multi-level intervention and policy efforts to reduce pervasive racial and socioeconomic disparities in ADRD.
Collapse
Affiliation(s)
- Andrea L Rosso
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, US.
| | - Wendy M Troxel
- Division of Behavior and Policy Sciences, RAND Corporation, Santa Monica, US
| | - Tiffany L Gary-Webb
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, US
| | | | - Meryl A Butters
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, US
| | - Alina Palimaru
- Division of Behavior and Policy Sciences, RAND Corporation, Santa Monica, US
| | | | - La'Vette Wagner
- Division of Behavior and Policy Sciences, RAND Corporation, Santa Monica, US
| | - Alvin Nugroho
- Survey Research Group, RAND Corporation, Santa Monica, US
| | - Gerald Hunter
- Division of Behavior and Policy Sciences, RAND Corporation, Santa Monica, US
| | | | - Tamara Dubowitz
- Division of Behavior and Policy Sciences, RAND Corporation, Santa Monica, US
| |
Collapse
|
16
|
Ventura J, Downer B, Li CY, Snih SA. Nativity differences in the relationship between handgrip strength and cognitive impairment in older Mexican Americans over 20 years of follow-up. Arch Gerontol Geriatr 2023; 107:104903. [PMID: 36584560 PMCID: PMC9974812 DOI: 10.1016/j.archger.2022.104903] [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: 09/14/2022] [Revised: 12/01/2022] [Accepted: 12/12/2022] [Indexed: 12/15/2022]
Abstract
PURPOSE To examine nativity differences in the relationship between handgrip strength (HGS) and cognitive impairment among Mexican Americans aged ≥ 65 years with normal or high cognitive function at baseline over a 20-year period. METHODS Prospective cohort study of 2,155 non-institutionalized Mexican Americans aged ≥ 65 years from the Hispanic Established Population for the Epidemiological Study of the Elderly) who scored ≥ 21 in the Mini Mental State Examination (MMSE) at baseline. Measures included socio-demographics, body mass index, medical conditions, depressive symptoms, physical function, disability, HGS quartiles (sex-adjusted), and MMSE. We used generalized estimating equation models to estimate the odds ratio (OR) and 95% Confidence Interval (CI) of cognitive impairment (MMSE < 21) as a function of HGS quartile by nativity and adjusted for covariates. RESULTS US-born and foreign-born participants in the 4th quartile (highest) of HGS at baseline had lower odds of cognitive impairment over time compared with those in the 1st (lowest) HGS quartile (OR=0.95, 95% CI=0.90-0.99 and OR=0.93, 95% CI=0.89-0.98, respectively), after controlling for all covariates. When we analyzed HGS quartiles as time-varying, we found that US-born participants in the 3rd and 4th HGS quartile had 25% and 30% lower odds of cognitive impairment, respectively, while foreign-born participants in the 3rd and 4th HGS quartile had 27% and 49% lower odds of cognitive impairment over time, respectively, after controlling for all covariates. CONCLUSION Foreign-born older Mexican Americans who performed high in HGS experienced 7% lower odds of cognitive impairment over time compared with US-born older Mexican Americans.
Collapse
Affiliation(s)
- Juan Ventura
- John Sealy School of Medicine, University of Texas Medical Branch, Galveston, TX, USA
| | - Brian Downer
- Department of Population Health and Health Disparities/School of Public and Population Health, University of Texas Medical Branch, Galveston, TX, USA
| | - Chih-Ying Li
- Department of Occupational Therapy/School of Health Professions, University of Texas Medical Branch, Galveston, TX, USA
| | - Soham Al Snih
- Department of Population Health and Health Disparities/School of Public and Population Health, University of Texas Medical Branch, Galveston, TX, USA; Division of Geriatrics & Palliative Medicine/Department of Internal Medicine, University of Texas Medical Branch, Galveston, TX, USA; Sealy Center on Aging, University of Texas Medical Branch, Galveston, TX, USA.
| |
Collapse
|
17
|
Gavett BE, Ilango SD, Koscik R, Ma Y, Helfand B, Eng CW, Gross A, Trittschuh EH, Jones RN, Mungas D. Harmonization of cognitive screening tools for dementia across diverse samples: A simulation study. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12438. [PMID: 37342610 PMCID: PMC10277671 DOI: 10.1002/dad2.12438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 03/29/2023] [Accepted: 04/10/2023] [Indexed: 06/23/2023]
Abstract
Introduction Research focusing on cognitive aging and dementia is a global endeavor. However, cross-national differences in cognition are embedded in other sociocultural differences, precluding direct comparisons of test scores. Such comparisons can be facilitated by co-calibration using item response theory (IRT). The goal of this study was to explore, using simulation, the necessary conditions for accurate harmonization of cognitive data. Method Neuropsychological test scores from the US Health and Retirement Study (HRS) and the Mexican Health and Aging Study (MHAS) were subjected to IRT analysis to estimate item parameters and sample means and standard deviations. These estimates were used to generate simulated item response patterns under 10 scenarios that adjusted the quality and quantity of linking items used in harmonization. IRT-derived factor scores were compared to the known population values to assess bias, efficiency, accuracy, and reliability of the harmonized data. Results The current configuration of HRS and MHAS data was not suitable for harmonization, as poor linking item quality led to large bias in both cohorts. Scenarios with more numerous and higher quality linking items led to less biased and more accurate harmonization. Discussion Linking items must possess low measurement error across the range of latent ability for co-calibration to be successful. HIGHLIGHTS We developed a statistical simulation platform to evaluate the degree to which cross-sample harmonization accuracy varies as a function of the quality and quantity of linking items.Two large studies of aging-one in Mexico and one in the United States-use three common items to measure cognition.These three common items have weak correspondence with the ability being measured and are all low in difficulty.Harmonized scores derived from the three common linking items will provide biased and inaccurate estimates of cognitive ability.Harmonization accuracy is greatest when linking items vary in difficulty and are strongly related to the ability being measured.
Collapse
Affiliation(s)
- Brandon E. Gavett
- School of Psychological ScienceUniversity of Western AustraliaPerthWestern AustraliaAustralia
| | - Sindana D. Ilango
- Department of EpidemiologyUniversity of Washington School of Public HealthSeattleWashingtonUSA
| | - Rebecca Koscik
- Wisconsin Alzheimer's InstituteUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Department of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Yue Ma
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Division of Geriatrics and GerontologyDepartment of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Benjamin Helfand
- Department of Emergency MedicineUniversity of Massachusetts Medical SchoolWorcesterMassachusettsUSA
- Departments of Psychiatry and Human Behavior and NeurologyWarren Alpert Medical SchoolBrown UniversityProvidenceRhode IslandUSA
| | - Chloe W. Eng
- Department of Epidemiology and BiostatisticsUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Alden Gross
- Department of EpidemiologyJohns Hopkins Bloomberg School Public HealthBaltimoreMarylandUSA
| | - Emily H. Trittschuh
- VA Puget Sound Health Care SystemGeriatric Research Education and Clinical CareSeattleWashingtonUSA
- Department of Psychiatry and Behavioral SciencesUniversity of Washington School of MedicineSeattleWashingtonUSA
| | - Richard N. Jones
- Departments of Psychiatry and Human Behavior and NeurologyWarren Alpert Medical SchoolBrown UniversityProvidenceRhode IslandUSA
- Department of NeurologyBrown University Warren Alpert Medical SchoolProvidenceRhode IslandUSA
| | - Dan Mungas
- Department of NeurologyUniversity of CaliforniaSacramentoCaliforniaUSA
| |
Collapse
|
18
|
Pettigrew C, Nazarovs J, Soldan A, Singh V, Wang J, Hohman T, Dumitrescu L, Libby J, Kunkle B, Gross AL, Johnson S, Lu Q, Engelman C, Masters CL, Maruff P, Laws SM, Morris JC, Hassenstab J, Cruchaga C, Resnick SM, Kitner-Triolo MH, An Y, Albert M. Alzheimer's disease genetic risk and cognitive reserve in relationship to long-term cognitive trajectories among cognitively normal individuals. Alzheimers Res Ther 2023; 15:66. [PMID: 36978190 PMCID: PMC10045505 DOI: 10.1186/s13195-023-01206-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 03/12/2023] [Indexed: 03/30/2023]
Abstract
BACKGROUND Both Alzheimer's disease (AD) genetic risk factors and indices of cognitive reserve (CR) influence risk of cognitive decline, but it remains unclear whether they interact. This study examined whether a CR index score modifies the relationship between AD genetic risk factors and long-term cognitive trajectories in a large sample of individuals with normal cognition. METHODS Analyses used data from the Preclinical AD Consortium, including harmonized data from 5 longitudinal cohort studies. Participants were cognitively normal at baseline (M baseline age = 64 years, 59% female) and underwent 10 years of follow-up, on average. AD genetic risk was measured by (i) apolipoprotein-E (APOE) genetic status (APOE-ε2 and APOE-ε4 vs. APOE-ε3; N = 1819) and (ii) AD polygenic risk scores (AD-PRS; N = 1175). A CR index was calculated by combining years of education and literacy scores. Longitudinal cognitive performance was measured by harmonized factor scores for global cognition, episodic memory, and executive function. RESULTS In mixed-effects models, higher CR index scores were associated with better baseline cognitive performance for all cognitive outcomes. APOE-ε4 genotype and AD-PRS that included the APOE region (AD-PRSAPOE) were associated with declines in all cognitive domains, whereas AD-PRS that excluded the APOE region (AD-PRSw/oAPOE) was associated with declines in executive function and global cognition, but not memory. There were significant 3-way CR index score × APOE-ε4 × time interactions for the global (p = 0.04, effect size = 0.16) and memory scores (p = 0.01, effect size = 0.22), indicating the negative effect of APOE-ε4 genotype on global and episodic memory score change was attenuated among individuals with higher CR index scores. In contrast, levels of CR did not attenuate APOE-ε4-related declines in executive function or declines associated with higher AD-PRS. APOE-ε2 genotype was unrelated to cognition. CONCLUSIONS These results suggest that APOE-ε4 and non-APOE-ε4 AD polygenic risk are independently associated with global cognitive and executive function declines among individuals with normal cognition at baseline, but only APOE-ε4 is associated with declines in episodic memory. Importantly, higher levels of CR may mitigate APOE-ε4-related declines in some cognitive domains. Future research is needed to address study limitations, including generalizability due to cohort demographic characteristics.
Collapse
Affiliation(s)
- Corinne Pettigrew
- Johns Hopkins University School of Medicine, 1600 McElderry St, Baltimore, MD, 21205, USA.
| | - Jurijs Nazarovs
- University of Wisconsin-Madison School of Medicine and Public Health, 750 Highland Ave, Madison, WI, 53726, USA
| | - Anja Soldan
- Johns Hopkins University School of Medicine, 1600 McElderry St, Baltimore, MD, 21205, USA
| | - Vikas Singh
- University of Wisconsin-Madison School of Medicine and Public Health, 750 Highland Ave, Madison, WI, 53726, USA
| | - Jiangxia Wang
- Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore, MD, 21205, USA
| | - Timothy Hohman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Ave South, Nashville, TN, 37212, USA
| | - Logan Dumitrescu
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Ave South, Nashville, TN, 37212, USA
| | - Julia Libby
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Ave South, Nashville, TN, 37212, USA
| | - Brian Kunkle
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Alden L Gross
- Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore, MD, 21205, USA
| | - Sterling Johnson
- University of Wisconsin-Madison School of Medicine and Public Health, 750 Highland Ave, Madison, WI, 53726, USA
| | - Qiongshi Lu
- University of Wisconsin-Madison School of Medicine and Public Health, 750 Highland Ave, Madison, WI, 53726, USA
| | - Corinne Engelman
- University of Wisconsin-Madison School of Medicine and Public Health, 750 Highland Ave, Madison, WI, 53726, USA
| | - Colin L Masters
- The Florey Institute, University of Melbourne, 30 Royal Parade, Parkville, VIC, 3052, Australia
| | - Paul Maruff
- The Florey Institute, University of Melbourne, 30 Royal Parade, Parkville, VIC, 3052, Australia
| | - Simon M Laws
- Centre for Precision Health and Collaborative Genomics and Translation Group, Edith Cowan University, 270 Jundaloop Drive, Jundaloop, WA, 6027, Australia
- Curtin Medical School, Curtin University, Kent Street, Bentley, WA, 6102, Australia
| | - John C Morris
- Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA
| | - Jason Hassenstab
- Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA
| | - Carlos Cruchaga
- Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA
| | - Susan M Resnick
- National Institute on Aging Intramural Research Program, 251 Bayview Blvd, Baltimore, MD, 21224, USA
| | - Melissa H Kitner-Triolo
- National Institute on Aging Intramural Research Program, 251 Bayview Blvd, Baltimore, MD, 21224, USA
| | - Yang An
- National Institute on Aging Intramural Research Program, 251 Bayview Blvd, Baltimore, MD, 21224, USA
| | - Marilyn Albert
- Johns Hopkins University School of Medicine, 1600 McElderry St, Baltimore, MD, 21205, USA
| |
Collapse
|
19
|
Nikitas C, Kontogianni E, Papadopoulou S, Tsoukatos M, Kikidis D. Can vigilance predict the status of safe functional gait and risk of falls in patients with peripheral vestibular disorders? A cross-sectional study. J Neurol Sci 2023; 445:120547. [PMID: 36634581 DOI: 10.1016/j.jns.2023.120547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 01/04/2023] [Accepted: 01/04/2023] [Indexed: 01/09/2023]
Abstract
OBJECTIVES Peripheral vestibular disorders except from reflexes dysfunction correspond also to cognitive decline. The objectives of this cross-sectional study were to a) identify correlations among variables of functional gait, cognitive function, and perceived dizziness and b) explore variables that could be used as prognostic factors of functional gait in people with peripheral vestibular deficits. METHODS We recruited 154 people with peripheral vestibular deficits. The participants presented with moderate disability in terms of the Dizziness Handicap Inventory questionnaire (mean: 48.00, 95% confidence interval: 45.24-50.75), deficits in the Functional Gait Assessment test (mean: 22.75, 95% confidence interval: 22.13-23.40) and indication of mild cognitive impairment based on Montreal Cognitive Assessment tool (mean: 25.18, 95% confidence interval: 24.75-25.60). RESULTS Statistically significant correlations found among functional gait and gender, age, educational level, perceived level of disability and the total score of the Montreal Cognitive Assessment tool. Several components of the cognitive screening test (executive function, vigilance, language skills, verbal fluency) also correlated statistically significant with functional gait. Linear regression models revealed that age, perceived level of disability and vigilance significantly predicted functional gait variability (R2 = 0.350; p < 0.001) as well as high risk of falling, as indicated by a score on Functional Gait Assessment test <22/30 (R2 = 0.380). CONCLUSIONS Cognitive impairments affect functional gait in people with peripheral vestibular disorders. Thus, the integration of cognitive functional assessment must be considered as a prerequisite for functional assessment and designing rehabilitation programs that will include dual task training.
Collapse
Affiliation(s)
- Christos Nikitas
- 1st Department of Otorhinolaryngology, Head and Neck Surgery, National and Kapodistrian University of Athens, Hippocrateion General Hospital, Athens, Greece.
| | - Evangelia Kontogianni
- 1(st) Department of Psychiatry, Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Sofia Papadopoulou
- 1st Department of Otorhinolaryngology, Head and Neck Surgery, National and Kapodistrian University of Athens, Hippocrateion General Hospital, Athens, Greece
| | - Michalis Tsoukatos
- 1st Department of Otorhinolaryngology, Head and Neck Surgery, National and Kapodistrian University of Athens, Hippocrateion General Hospital, Athens, Greece
| | - Dimitris Kikidis
- 1st Department of Otorhinolaryngology, Head and Neck Surgery, National and Kapodistrian University of Athens, Hippocrateion General Hospital, Athens, Greece
| |
Collapse
|
20
|
Lipnicki DM, Lam BCP, Mewton L, Crawford JD, Sachdev PS. Harmonizing Ethno-Regionally Diverse Datasets to Advance the Global Epidemiology of Dementia. Clin Geriatr Med 2023; 39:177-190. [PMID: 36404030 PMCID: PMC9767705 DOI: 10.1016/j.cger.2022.07.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Understanding dementia and cognitive impairment is a global effort needing data from multiple sources across diverse ethno-regional groups. Methodological heterogeneity means that these data often require harmonization to make them comparable before analysis. We discuss the benefits and challenges of harmonization, both retrospective and prospective, broadly and with a focus on data types that require particular sorts of approaches, including neuropsychological test scores and neuroimaging data. Throughout our discussion, we illustrate general principles and give examples of specific approaches in the context of contemporary research in dementia and cognitive impairment from around the world.
Collapse
Affiliation(s)
- Darren M Lipnicki
- Centre for Healthy Brain Ageing, University of New South Wales, Level 1, AGSM (G27), Gate 11, Botany Street, Sydney, New South Wales 2052, Australia.
| | - Ben C P Lam
- Centre for Healthy Brain Ageing, University of New South Wales, Level 1, AGSM (G27), Gate 11, Botany Street, Sydney, New South Wales 2052, Australia
| | - Louise Mewton
- Centre for Healthy Brain Ageing, University of New South Wales, Level 1, AGSM (G27), Gate 11, Botany Street, Sydney, New South Wales 2052, Australia
| | - John D Crawford
- Centre for Healthy Brain Ageing, University of New South Wales, Level 1, AGSM (G27), Gate 11, Botany Street, Sydney, New South Wales 2052, Australia
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, University of New South Wales, Level 1, AGSM (G27), Gate 11, Botany Street, Sydney, New South Wales 2052, Australia; Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, Australia
| |
Collapse
|
21
|
Llibre-Guerra JJ, Li J, Qian Y, Llibre-Rodriguez JDJ, Jiménez-Velázquez IZ, Acosta D, Salas A, Llibre-Guerra JC, Valvuerdi A, Harrati A, Weiss J, Liu MM, Dow WH. Apolipoprotein E (APOE) genotype, dementia, and memory performance among Caribbean Hispanic versus US populations. Alzheimers Dement 2023; 19:602-610. [PMID: 35661582 PMCID: PMC9719569 DOI: 10.1002/alz.12699] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 02/22/2022] [Accepted: 04/27/2022] [Indexed: 11/08/2022]
Abstract
INTRODUCTION Apolipoprotein E (APOE) is considered the major susceptibility gene for developing Alzheimer's disease. However, the strength of this risk factor is not well established across diverse Hispanic populations. METHODS We investigated the associations among APOE genotype, dementia prevalence, and memory performance (immediate and delayed recall scores) in Caribbean Hispanics (CH), African Americans (AA), Hispanic Americans (HA) and non-Hispanic White Americans (NHW). Multivariable logistic regressions and negative binomial regressions were used to examine these associations by subsample. RESULTS Our final dataset included 13,516 participants (5198 men, 8318 women) across all subsamples, with a mean age of 74.8 years. Prevalence of APOE ε4 allele was similar in CHs, HAs, and NHWs (21.8%-25.4%), but was substantially higher in AAs (33.6%; P < 0.001). APOE ε4 carriers had higher dementia prevalence across all groups. DISCUSSION APOE ε4 was similarly associated with increased relative risk of dementia and lower memory performance in all subsamples.
Collapse
Affiliation(s)
- Jorge J Llibre-Guerra
- Department of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Jing Li
- Department of Population Health Sciences, Weill Cornell Medical College, Cornell University, New York, New York, USA
| | - Yuting Qian
- Department of Population Health Sciences, Weill Cornell Medical College, Cornell University, New York, New York, USA
| | | | | | - Daisy Acosta
- Universidad Nacional Pedro Henriquez Ureña (UNPHU), Santo Domingo, Dominican Republic
| | - Aquiles Salas
- Medicine Department, Caracas University Hospital, Faculty of Medicine, Universidad Central de Venezuela, Caracas, Venezuela
| | | | - Adolfo Valvuerdi
- National Institute of Neurology and Neurosurgery, La Habana, Cuba
| | - Amal Harrati
- Department of Medicine, Stanford University, Stanford, California, USA
| | - Jordan Weiss
- Department of Demography, University of California at Berkeley, Berkeley, California, USA
| | - Mao-Mei Liu
- School of Public Health, University of California at Berkeley, Berkeley, California, USA
| | - William H Dow
- Department of Demography, University of California at Berkeley, Berkeley, California, USA
- School of Public Health, University of California at Berkeley, Berkeley, California, USA
| |
Collapse
|
22
|
Chen D, Jutkowitz E, Gross AL. Statistical harmonization of everyday functioning and dementia-related behavioral measures across nine surveys and trials. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12412. [PMID: 36935763 PMCID: PMC10017408 DOI: 10.1002/dad2.12412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 01/13/2023] [Accepted: 02/07/2023] [Indexed: 03/18/2023]
Abstract
Introduction Efforts to harmonize measures of everyday function and dementia-related behaviors are needed to synthesize across studies in dementia research. There have been some psychometric attempts to harmonize everyday function for secondary analysis, but far less for dementia-related behaviors. Methods Statistical co-calibration was performed to generate factor scores representing everyday function and dementia-related behaviors for participants with dementia. We evaluated convergent criterion validity of factor scores and mapped the scores onto established clinical instruments. Results Factor analyses of included items fit well to available data. Harmonized factors showed expected associations with the Global Clinical Dementia Rating (CDR) score, with greater impairment (higher Global CDR score) corresponding to higher (more severe) levels on factor scores. Discussion We used large, well-characterized samples to derive harmonized factors representing everyday functions and dementia-related behaviors. These harmonized factors can be used to tackle questions about dementia phenotypes which require either large samples or unique subpopulations.
Collapse
Affiliation(s)
- Diefei Chen
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
- Johns Hopkins University Center on Aging and HealthBaltimoreMarylandUSA
| | - Eric Jutkowitz
- Department of Health Services, Policy & PracticeBrown University School of Public HealthProvidenceRhode IslandUSA
- Center of Innovation in Long Term Services and SupportsProvidence VA Medical CenterProvidenceRhode IslandUSA
- Evidence Synthesis Program CenterProvidence VA Medical CenterProvidenceRhode IslandUSA
| | - Alden L. Gross
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
- Johns Hopkins University Center on Aging and HealthBaltimoreMarylandUSA
| |
Collapse
|
23
|
Stinchcombe A, Hammond NG. Social determinants of memory change: A three-year follow-up of the Canadian Longitudinal Study on Aging (CLSA). Arch Gerontol Geriatr 2023; 104:104830. [PMID: 36257162 DOI: 10.1016/j.archger.2022.104830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 09/19/2022] [Accepted: 10/02/2022] [Indexed: 11/13/2022]
Abstract
OBJECTIVES Changes in memory can interfere with activities of daily living and may be indicative of serious health concerns such as mild cognitive impairment or dementia. Risk factors for cognitive decline and dementia have been shown to cluster around inequalities, suggesting that minority groups may be at an increased risk for cognitive decline. We sought to clarify the relationship between social determinants and change in memory function over a 3-year follow-up period, after accounting for demographic and health variables. METHODS We used baseline and first follow-up data from the Canadian Longitudinal Study on Aging (CLSA). Our primary analysis consisted of a multivariable linear regression model (n = 30,475). Demographic, health, education and occupation, social support, social identity, and social positioning variables (predictors) were measured at baseline. We computed a reliable change index (outcome) using the Rey Auditory Verbal Learning Test (RAVLT). RESULTS Older age and some health considerations (e.g., higher body mass index, low hearing) were associated with a greater decline in memory over the three-year period. In contrast, some physical activity and better self-rated general health were associated with improvements in memory. Having a hobby and better perceived social standing were associated with greater memory improvement. Social identities who experience minority stress (sexual orientation, gender identity, and race) did not predict change in memory. DISCUSSION Altogether, these results contribute to a growing body of evidence that points to older members of minoritized communities exhibiting initial differences in cognitive functioning (i.e., cross-sectional differences) but not more rapid cognitive aging.
Collapse
Affiliation(s)
- Arne Stinchcombe
- School of Psychology, University of Ottawa, Ottawa, Ontario, Canada; Bruyère Research Institute, Ottawa, Ontario, Canada.
| | - Nicole G Hammond
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| |
Collapse
|
24
|
Abstract
In this article, the authors discuss primarily what is known about the epidemiology of all-cause dementia. Dementia is caused by a complex interplay of genetics, comorbidities, and lifestyle factors, and drug development has been challenging. However, evidence from large, prospective, observational studies has identified a variety of factors that may prevent or delay the onset of dementia. Several of these factors are modifiable and lend themselves to well to treatments currently available. The authors discuss the state of current evidence on dementia risk factors, the most promising avenues, and future directions for dementia prevention and management.
Collapse
Affiliation(s)
- Christina S Dintica
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Kristine Yaffe
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA; San Francisco VA Health Care System, San Francisco, CA, USA.
| |
Collapse
|
25
|
Hajjar I, Yang Z, Okafor M, Liu C, Waligorska T, Goldstein FC, Shaw LM. Association of Plasma and Cerebrospinal Fluid Alzheimer Disease Biomarkers With Race and the Role of Genetic Ancestry, Vascular Comorbidities, and Neighborhood Factors. JAMA Netw Open 2022; 5:e2235068. [PMID: 36201209 PMCID: PMC9539715 DOI: 10.1001/jamanetworkopen.2022.35068] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Differences in cerebrospinal fluid (CSF) tau Alzheimer dementia (AD) biomarkers by self-identified race have been observed in prior studies. More recently, plasma biomarkers have been gaining recognition, but whether they exhibit similar differences is unclear. Furthermore, the underlying explanation for these differences in AD biomarkers is still unexplored. OBJECTIVES To investigate differences in plasma biomarkers by race and genetic ancestry and explore potential underlying explanations for these differences. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study used participant data from the Brain, Stress, Hypertension, and Aging Research Program (B-SHARP), an observational study conducted in the greater Atlanta metropolitan area. Participants were enrolled from March 1, 2016, to January 1, 2020. MAIN OUTCOMES AND MEASURES Main outcomes were plasma and CSF amyloid-β (Aβ) 42, Aβ40, phosphorylated tau181 (p-tau181), and neurofilament light. General linear models were used for key comparisons. EXPOSURES Main independent variables were self-identified race and genetic ancestry. Additional variables were cardiovascular factors, APOE4, educational attainment, Area Deprivation Index, and C-reactive protein (reflecting systemic inflammation state). RESULTS This analysis included 617 participants (mean [SD] age, 66 [7.9] years; 300 [49%] African American and 317 [51%] White; 429 [70%] with mild cognitive impairment). On the basis of self-reported race, plasma levels of Aβ42 (adjusted mean difference, -1.20 pg/mL; 95% CI, -2.33 to -0.07 pg/mL), Aβ40 (adjusted mean difference, -37.78 pg/mL; 95% CI, -60.16 to -15.39 pg/mL), p-tau181 (adjusted mean difference, -4.66 pg/mL; 95% CI, -7.05 to -1.90 pg/mL), and neurofilament light (adjusted mean difference, -1.58; 95% CI, -2.83 to -0.19 pg/mL) were consistently lower in African American individuals after adjusting for demographic characteristics, educational attainment, cognition, APOE4, and cardiovascular factors. A similar pattern was observed in the CSF biomarkers except for Aβ42 and Aβ40. Although unadjusted analyses revealed an association between these biomarkers and African ancestry, these associations were not significant after adjusting for the same covariates. Differences by self-reported race were not explained by varied cardiovascular risk factors, C-reactive protein, educational attainment, or Area Deprivation Index. CONCLUSIONS AND RELEVANCE In this cross-sectional study of plasma biomarkers by race and genetic ancestry, the results indicated that plasma p-tau181, Aβ40, and NFL were lower in African American individuals based on self-reported race but not genetic ancestry. These differences were not explained by cardiovascular risks or clinical stage differences. These racial differences should be considered in clinical interpretations and clinical trial screenings to avoid an additional increase in underrepresentation of African American individuals in AD trials.
Collapse
Affiliation(s)
- Ihab Hajjar
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia
- Department of Neurology, University of Texas Southwestern, Dallas
| | - Zhiyi Yang
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia
| | - Maureen Okafor
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia
| | - Chang Liu
- Department of Biostatistics and Bioinformatics, Emory University Rollins School of Public Health, Atlanta, Georgia
| | - Teresa Waligorska
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia
| | | | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia
| |
Collapse
|
26
|
Stites SD, Largent EA, Gill J, Gurian A, Harkins K, Karlawish J. Predictors of who Serves as an Alzheimer's Disease Research Participant's Study Partner and the Impact of their Relationship on Study Partners' Reports on Participants. Res Aging 2022; 44:734-746. [PMID: 35324354 PMCID: PMC10108385 DOI: 10.1177/01640275221075739] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Alzheimer's disease and Alzheimer's disease related dementias (AD/ADRD) research typically requires participants to enroll with a "study partner" (SP). Little is known about what predicts who steps into the SP role or whether the SP's relationship to the participant affects their reports of disease severity.Methods: Health and Retirement Study data (HRS), collected prior to the Aging, Demographics and Memory Study (ADAMS), was used to identify sociocultural factors that predict who serves as a SP in ADAMS. SP-reported outcomes were compared between three types of participant-SP relationships: spousal, adult child, and other.Results: Spouses (35%) and adult children (39%) were similarly likely to serve as SPs. Factors predicting who served differed. In multivariable analyses, adult children rated participants less impaired than spouses on measures of memory, judgment, and organizational abilities (p < .05). Conclusions: The participant-SP relationship has independent effects on the SP's reports of the severity of cognitive impairments.
Collapse
Affiliation(s)
- Shana D Stites
- Department of Psychiatry, Perelman School of Medicine, 6572University of Pennsylvania, Philadelphia, PA, USA
| | - Emily A Largent
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, 6572University of Pennsylvania, Philadelphia, PA, USA
| | - Jeanine Gill
- Division of Geriatric Medicine, Perelman School of Medicine, 6572University of Pennsylvania, Philadelphia, PA, USA
| | - Anna Gurian
- 2546Division of Geriatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kristin Harkins
- Penn Memory Center, Department of Medicine, 6572University of Pennsylvania, Philadelphia, PA, USA
| | - Jason Karlawish
- Penn Memory Center, Departments of Medicine, Medical Ethics and Health Policy, and Neurology, 6572University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
27
|
Walsemann KM, Ureña S, Farina MP, Ailshire JA. Race Inequity in School Attendance Across the Jim Crow South and Its Implications for Black-White Disparities in Trajectories of Cognitive Function Among Older Adults. J Gerontol B Psychol Sci Soc Sci 2022; 77:1467-1477. [PMID: 35139199 PMCID: PMC9371452 DOI: 10.1093/geronb/gbac026] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVES Although education is a key determinant of cognitive function, its role in determining Black-White disparities in cognitive function is unclear. This may be due, in part, to data limitations that have made it difficult to account for systemic educational inequities in the Jim Crow South experienced by older cohorts, including differences in the number of days Black students attended school compared to their White counterparts or Black peers in better-funded southern states. We determine if accounting for differential rates of school attendance across race, years, and states in the Jim Crow South better illuminates Black-White disparities in trajectories of cognitive function. METHODS We linked historical state-level data on school attendance from the 1919/1920 to 1953/1954 Biennial Surveys of Education to the Health and Retirement Study, a nationally representative, longitudinal study of U.S. adults older than age 50. We restricted our sample to Black and White older adults who attended school in the Jim Crow South and began primary school in/after 1919/1920 and completed primary/secondary school by 1953/1954 (n = 4,343). We used linear mixed models to estimate trajectories of total cognitive function, episodic memory, and working memory. RESULTS Self-reported years of schooling explained 28%-33% of the Black-White disparity in level of cognitive function, episodic memory, and working memory. Duration of school, a measure that accounted for differential rates of school attendance, explained 41%-55% of the Black-White disparity in these outcomes. DISCUSSION Our study highlights the importance of using a more refined measure of schooling for understanding the education-cognitive health relationship.
Collapse
Affiliation(s)
- Katrina M Walsemann
- School of Public Policy and Maryland Population Research Center, University of Maryland, College Park, Maryland, USA
| | - Stephanie Ureña
- School of Public Policy and Maryland Population Research Center, University of Maryland, College Park, Maryland, USA
| | - Mateo P Farina
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, California, USA
| | - Jennifer A Ailshire
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, California, USA
| |
Collapse
|
28
|
Oelsner EC, Krishnaswamy A, Balte PP, Allen NB, Ali T, Anugu P, Andrews H, Arora K, Asaro A, Barr RG, Bertoni AG, Bon J, Boyle R, Chang AA, Chen G, Coady S, Cole SA, Coresh J, Cornell E, Correa A, Couper D, Cushman M, Demmer RT, Elkind MSV, Folsom AR, Fretts AM, Gabriel KP, Gallo L, Gutierrez J, Han MLK, Henderson JM, Howard VJ, Isasi CR, Jacobs Jr DR, Judd SE, Mukaz DK, Kanaya AM, Kandula NR, Kaplan R, Kinney GL, Kucharska-Newton A, Lee JS, Lewis CE, Levine DA, Levitan EB, Levy B, Make B, Malloy K, Manly JJ, Mendoza-Puccini C, Meyer KA, Min YI, Moll M, Moore WC, Mauger D, Ortega VE, Palta P, Parker MM, Phipatanakul W, Post WS, Postow L, Psaty BM, Regan EA, Ring K, Roger VL, Rotter JI, Rundek T, Sacco RL, Schembri M, Schwartz DA, Seshadri S, Shikany JM, Sims M, Hinckley Stukovsky KD, Talavera GA, Tracy RP, Umans JG, Vasan RS, Watson K, Wenzel SE, Winters K, Woodruff PG, Xanthakis V, Zhang Y, Zhang Y, C4R Investigators FT. Collaborative Cohort of Cohorts for COVID-19 Research (C4R) Study: Study Design. Am J Epidemiol 2022; 191:1153-1173. [PMID: 35279711 PMCID: PMC8992336 DOI: 10.1093/aje/kwac032] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 01/26/2022] [Accepted: 02/09/2022] [Indexed: 01/26/2023] Open
Abstract
The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) is a national prospective study of adults comprising 14 established US prospective cohort studies. Starting as early as 1971, investigators in the C4R cohort studies have collected data on clinical and subclinical diseases and their risk factors, including behavior, cognition, biomarkers, and social determinants of health. C4R links this pre-coronavirus disease 2019 (COVID-19) phenotyping to information on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and acute and postacute COVID-related illness. C4R is largely population-based, has an age range of 18-108 years, and reflects the racial, ethnic, socioeconomic, and geographic diversity of the United States. C4R ascertains SARS-CoV-2 infection and COVID-19 illness using standardized questionnaires, ascertainment of COVID-related hospitalizations and deaths, and a SARS-CoV-2 serosurvey conducted via dried blood spots. Master protocols leverage existing robust retention rates for telephone and in-person examinations and high-quality event surveillance. Extensive prepandemic data minimize referral, survival, and recall bias. Data are harmonized with research-quality phenotyping unmatched by clinical and survey-based studies; these data will be pooled and shared widely to expedite collaboration and scientific findings. This resource will allow evaluation of risk and resilience factors for COVID-19 severity and outcomes, including postacute sequelae, and assessment of the social and behavioral impact of the pandemic on long-term health trajectories.
Collapse
Affiliation(s)
- Elizabeth C Oelsner
- Correspondence to Dr. Elizabeth C Oelsner, MD MPH, Herbert Irving Associate Professor of Medicine, Division of General Medicine, Columbia University Irving Medical Center, 622 West 168 Street, PH9-105K New York, NY 10032 Tel: 917-880-7099
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
29
|
Kim R, Chung W. Effect of Aging on Educational Differences in the Risk of Cognitive Impairment: A Gender-Specific Analysis Using Korean Longitudinal Study of Aging (2006–2016). Healthcare (Basel) 2022; 10:healthcare10061062. [PMID: 35742113 PMCID: PMC9222920 DOI: 10.3390/healthcare10061062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 06/05/2022] [Accepted: 06/06/2022] [Indexed: 11/16/2022] Open
Abstract
This study examined the effect of aging on gender-specific educational differences in the risk of cognitive impairment using a nationally representative sample of 4278 men and 5495 women aged 45 years and older from the dataset of the Korean Longitudinal Study of Aging. Sociodemographics, lifestyle, and medical conditions were included as covariates in the mixed logistic regression analysis models. The prevalence of cognitive impairment was higher in women than in men at baseline. The risk of cognitive impairment in each age group decreased with education in both men and women. The risk by educational rank was worse at lower levels and increased with age, more so for women than men. Aging appears to widen the impact of educational differences on the risk of cognitive impairment and is more unfavorable for women than for men. Public health policies regarding population aging need to consider this and identify the target population to reduce both the level of and the difference in the risk of cognitive impairment.
Collapse
Affiliation(s)
- Roeul Kim
- Labor Welfare Research Institute, Korea Workers’ Compensation and Welfare Service, Seoul 07254, Korea;
| | - Woojin Chung
- Department of Health Policy and Management, Graduate School of Public Health, Yonsei University, Seoul 03722, Korea
- Institute of Health Services Research, Yonsei University, Seoul 03722, Korea
- Correspondence: ; Tel.: +82-2-2228-1522
| |
Collapse
|
30
|
Eastman MR, Ospina-Romero M, Westrick AC, Kler JS, Glymour MM, Abdiwahab E, Kobayashi LC. Does a Cancer Diagnosis in Mid-to-Later Life Modify Racial Disparities in Memory Aging? Alzheimer Dis Assoc Disord 2022; 36:140-147. [PMID: 35125398 PMCID: PMC9132235 DOI: 10.1097/wad.0000000000000493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 12/28/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND It is unknown whether an incident cancer diagnosis differentially impacts acute and long-term memory aging between older White and Black Americans. METHODS Incident cancer diagnoses and memory (immediate and delayed recall, combined with proxy-reported memory) were assessed at biennial study interviews in the US Health and Retirement Study (N=14,235, 1998-2016). We used multivariable segmented linear mixed-effects models to evaluate the rate of change in standardized memory score (SD/decade) in the years before, acutely at the time of, and in the years following an incident cancer diagnosis, compared to cancer-free adults, by race. RESULTS Black participants experienced faster memory decline than White participants (cancer-free group: -1.211 vs. -1.077; P<0.0001). An incident cancer diagnosis was associated with an acute memory drop in White, but not Black participants (-0.065 vs. 0.024; P<0.0001). However, White cancer survivors experienced slower memory decline than cancer-free White adults before and after diagnosis, but this memory advantage was not observed among Black cancer survivors. CONCLUSIONS Racial disparities in memory aging are not modified by an incident cancer diagnosis. The acute cancer-related memory decline and long-term memory advantage experienced by White, but not Black, cancer survivors relative to cancer-free older adults, requires further investigation.
Collapse
Affiliation(s)
- Marisa R. Eastman
- Department of Epidemiology, Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, Ann Arbor, MI
| | - Monica Ospina-Romero
- Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Ashly C. Westrick
- Department of Epidemiology, Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, Ann Arbor, MI
| | - Jasdeep S. Kler
- Department of Epidemiology, Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, Ann Arbor, MI
| | - Medellena Maria Glymour
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA
| | - Ekland Abdiwahab
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA
| | - Lindsay C. Kobayashi
- Department of Epidemiology, Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, Ann Arbor, MI
| |
Collapse
|
31
|
Shin SH, Behrens EA, Parmelee PA, Kim G. The Role of Purpose in Life in the Relationship Between Widowhood and Cognitive Decline Among Older Adults in the U.S. Am J Geriatr Psychiatry 2022; 30:383-391. [PMID: 34417084 DOI: 10.1016/j.jagp.2021.07.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Revised: 07/18/2021] [Accepted: 07/18/2021] [Indexed: 11/18/2022]
Abstract
OBJECTIVES The objective of this study was to examine the role of purpose in life in the relationship between widowhood and cognitive decline. METHODS This study used a sample of 12,856 respondents (20,408 observations) collected from a national panel survey, the 2006-2014 waves of the Health and Retirement Study (HRS), that sampled older adults aged 50 or older. The study estimated growth-curve models with years since spousal death, purpose in life, and interaction between the two to predict cognition using three measures-total cognition, fluid, and crystallized intelligence scores. We also estimated growth-curve models by sex, race/ethnicity, and education. RESULTS While years since spousal death negatively correlated with cognition, purpose in life positively correlated with cognition. Furthermore, purpose in life had a moderating effect on the relationship between years since spousal death and cognition. This effect was found by using total cognition (coef. = 0.0515; z = 2.64; p < 0.01) and fluid intelligence scores (coef. = 0.0576; z = 3.23; p < 0.05). The same effects were salient among females (coef. = 0.0556; z = 2.19; p < 0.05), Whites (coef. = 0.0526; z = 2.52; p < 0.05), and older adults with more education (coef. = 0.0635; z = 2.10; p < 0.05). CONCLUSION Higher purpose in life relates to the negative correlations between widowhood and cognition of older adults. Educational programs improving purpose in life are a possible avenue for reducing the adverse effect of widowhood on cognition and warrant future exploration.
Collapse
Affiliation(s)
- Su Hyun Shin
- Department of Family and Consumer Studies, University of Utah, UT
| | - Emily A Behrens
- Alabama Research Institute on Aging and Department of Psychology, The University of Alabama, AL
| | - Patricia A Parmelee
- Alabama Research Institute on Aging and Department of Psychology, The University of Alabama, AL
| | - Giyeon Kim
- Department of Psychology, Chung-Ang University, Seoul, South Korea.
| |
Collapse
|
32
|
Alantie S, Tyrkkö J, Makkonen T, Renvall K. Is Old Age Just a Number in Language Skills? Language Performance and Its Relation to Age, Education, Gender, Cognitive Screening, and Dentition in Very Old Finnish Speakers. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2022; 65:274-291. [PMID: 34929110 DOI: 10.1044/2021_jslhr-21-00178] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
PURPOSE This study reports on how very old (VO) Finnish people without dementia perform in the Western Aphasia Battery (WAB) and two verbal fluency tasks and which demographic factors predict the performance. METHOD The study included fifty 80- to 100-year-old community-dwelling Finnish speakers with no dementing illnesses or speech-language disabilities, who completed the WAB and two verbal fluency tasks. Multifactorial statistical analyses with recursive partitioning were carried out to determine the significant predictors out of five predictor variables (age, gender, education, dentition, and Mini-Mental State Examination [MMSE]) for four response variables (WAB Aphasia Quotient [AQ], Language Quotient [LQ], semantic, and phonemic word fluencies). RESULTS Overall, individual variation was notable in VO speakers. All predictor variables were statistically significantly associated with one or more of the language skills. Age was the most significant predictor; the critical age of 85-86 years was associated with a decline in WAB-AQ and semantic fluency. Poor dentition and the MMSE score both predicted a decline in WAB-LQ and phonemic fluency. A high level of education was positively associated with the skills of the best-performing individuals in WAB-AQ, WAB-LQ, and semantic fluency. CONCLUSIONS VO age is a significant factor contributing to language performance. However, a younger age, a good cognitive performance, intact teeth, and a higher educational level also seem to have a preservative power as regards language skills. Gender differences should be interpreted with caution. The results of this study provide culture- and language-specific normative data, which aids in differentiating typical aging from the signs of acute or degenerative neuropathology to ensure appropriate medical and therapeutic interventions.
Collapse
Affiliation(s)
- Sonja Alantie
- Department of Psychology and Speech-Language Pathology, University of Turku, Finland
- Speech-Language Pathology, Tampere University Hospital, Finland
| | - Jukka Tyrkkö
- Department of Languages, Linnaeus University, Växjö, Sweden
| | - Tanja Makkonen
- Department of Psychology and Speech-Language Pathology, University of Turku, Finland
- Speech-Language Pathology, Tampere University Hospital, Finland
| | - Kati Renvall
- Department of Psychology and Speech-Language Pathology, University of Turku, Finland
- Department of Cognitive Science, Macquarie University, Sydney, New South Wales, Australia
| |
Collapse
|
33
|
Levine DA, Gross AL, Briceño EM, Tilton N, Whitney R, Han D, Giordani BJ, Sussman JB, Hayward RA, Burke JF, Elkind MS, Moran AE, Tom S, Gottesman RF, Gaskin DJ, Sidney S, Yaffe K, Sacco RL, Heckbert SR, Hughes TM, Lopez OL, Allen NB, Galecki AT. Blood Pressure and Later-Life Cognition in Hispanic and White Adults (BP-COG): A Pooled Cohort Analysis of ARIC, CARDIA, CHS, FOS, MESA, and NOMAS. J Alzheimers Dis 2022; 89:1103-1117. [PMID: 35964190 PMCID: PMC10041434 DOI: 10.3233/jad-220366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/23/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND Ethnic differences in cognitive decline have been reported. Whether they can be explained by differences in systolic blood pressure (SBP) is uncertain. OBJECTIVE Determine whether cumulative mean SBP levels explain differences in cognitive decline between Hispanic and White individuals. METHODS Pooled cohort study of individual participant data from six cohorts (1971-2017). The present study reports results on SBP and cognition among Hispanic and White individuals. Outcomes were changes in global cognition (GC) (primary), executive function (EF) (secondary), and memory standardized as t-scores (mean [SD], 50 [10]); a 1-point difference represents a 0.1 SD difference in cognition. Median follow-up was 7.7 (Q1-Q3, 5.2-20.1) years. RESULTS We included 24,570 participants free of stroke and dementia: 2,475 Hispanic individuals (median age, cumulative mean SBP at first cognitive assessment, 67 years, 132.5 mmHg; 40.8% men) and 22,095 White individuals (60 years,134 mmHg; 47.3% men). Hispanic individuals had slower declines in GC, EF, and memory than White individuals when all six cohorts were examined. Two cohorts recruited Hispanic individuals by design. In a sensitivity analysis, Hispanic individuals in these cohorts had faster decline in GC, similar decline in EF, and slower decline in memory than White individuals. Higher time-varying cumulative mean SBP was associated with faster declines in GC, EF, and memory in all analyses. After adjusting for time-varying cumulative mean SBP, differences in cognitive slopes between Hispanic and White individuals did not change. CONCLUSION We found no evidence that cumulative mean SBP differences explained differences in cognitive decline between Hispanic and White individuals.
Collapse
Affiliation(s)
- Deborah A. Levine
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan, Ann Arbor, MI, USA
- Department of Neurology and Stroke Program, University of Michigan, Ann Arbor, MI, USA
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA
| | - Alden L. Gross
- Department of Epidemiology, Johns Hopkins Bloomberg School Public Health, Baltimore, MD, USA
| | - Emily M. Briceño
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan, Ann Arbor, MI, USA
- Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas Tilton
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan, Ann Arbor, MI, USA
| | - Rachael Whitney
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan, Ann Arbor, MI, USA
| | - Dehua Han
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan, Ann Arbor, MI, USA
| | - Bruno J. Giordani
- Department of Psychiatry & Michigan Alzheimer’s Disease Center, University of Michigan, Ann Arbor, MI, USA
| | - Jeremy B. Sussman
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan, Ann Arbor, MI, USA
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA
- VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Rodney A. Hayward
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan, Ann Arbor, MI, USA
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA
- VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - James F. Burke
- Department of Neurology and Stroke Program, University of Michigan, Ann Arbor, MI, USA
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA
- VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Mitchell S.V. Elkind
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Andrew E. Moran
- Department of Medicine, Division of General Medicine, Columbia University, New York, NY, USA
| | - Sarah Tom
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Rebecca F. Gottesman
- Stroke Branch, National Institute of Neurological Disorders and Stroke (NINDS), Bethesda, MD, USA
| | - Darrell J. Gaskin
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Stephen Sidney
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Kristine Yaffe
- Departments of Psychiatry, Neurology and Epidemiology, University of California, San Francisco, San Francisco, CA, USA
| | - Ralph L. Sacco
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Susan R. Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Timothy M. Hughes
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | | | - Norrina Bai Allen
- Department of Internal Medicine, Northwestern University, Chicago, IL, USA
| | - Andrzej T. Galecki
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan, Ann Arbor, MI, USA
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| |
Collapse
|
34
|
Alzheimer disease in African American individuals: increased incidence or not enough data? Nat Rev Neurol 2021; 18:56-62. [PMID: 34873310 PMCID: PMC8647782 DOI: 10.1038/s41582-021-00589-3] [Citation(s) in RCA: 63] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/29/2021] [Indexed: 11/13/2022]
Abstract
Research on racial differences in Alzheimer disease (AD) dementia has increased in recent years. Older African American individuals bear a disproportionate burden of AD and cognitive impairment compared with non-Latino white individuals. Tremendous progress has been made over the past two decades in our understanding of the neurobiological substrates of AD. However, owing to well-documented challenges of study participant recruitment and a persistent lack of biological data in the African American population, knowledge of the drivers of these racial disparities has lagged behind. Therapeutic targets and effective interventions for AD are increasingly sought, but without a better understanding of the disease in African American individuals, any identified treatments and/or cures will evade this rapidly growing at-risk population. In this Perspective, I introduce three key obstacles to progress in understanding racial differences in AD: uncertainty about diagnostic criteria, disparate cross-sectional and longitudinal findings; and a dearth of neuropathological data. I also highlight evidence-informed strategies to move the field forward. In this Perspective, Barnes introduces three key obstacles to progress in our understanding of racial differences in Alzheimer disease and highlights evidence-informed strategies that can move the field forward.
Collapse
|
35
|
Zahodne LB. Biopsychosocial pathways in dementia inequalities: Introduction to the Michigan Cognitive Aging Project. AMERICAN PSYCHOLOGIST 2021; 76:1470-1481. [PMID: 35266748 PMCID: PMC9205325 DOI: 10.1037/amp0000936] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Racial/ethnic inequalities in dementia risk are a major public health and health justice concern. Group differences that persist despite adjustment for socioeconomic and vascular indicators suggest that known dementia risk factors exhibit differential impact across race/ethnicity and/or there are unrecognized dementia risk factors that are racially patterned. This article provides targeted examples of both of these possibilities. First, depressive symptoms and white matter hyperintensities represent two known dementia risk factors that more strongly relate to negative cognitive outcomes among Black older adults than Whites, pointing to the need to consider contextual factors. Second, racial discrimination and external perceived control predict worse brain and cognitive aging above and beyond known risk factors. These psychosocial factors warrant explicit consideration in dementia cohort studies. Several challenges appear to be particularly relevant to the study of dementia inequalities, including selective survival and recruitment. These challenges complicate not only cross-study comparisons, but also within-study causal inferences. This article provides recommendations for addressing these challenges in order to accelerate high-quality research on dementia inequalities. Stemming from these recommendations, the article introduces the design and methods of the Michigan Cognitive Aging Project, a new, racially-balanced cohort study of Black and White adults transitioning to late life. In sum, careful research with community partners is needed to more fully explore the factors and contexts that create and sustain racial/ethnic disparities, as well as those that buffer against them. The ultimate goal of this research is to facilitate the dismantling of structural barriers to health justice for diverse older people. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Collapse
|
36
|
Sheffler P, Rodriguez TM, Cheung CS, Wu R. Cognitive and metacognitive, motivational, and resource considerations for learning new skills across the lifespan. WILEY INTERDISCIPLINARY REVIEWS. COGNITIVE SCIENCE 2021; 13:e1585. [PMID: 34783458 DOI: 10.1002/wcs.1585] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 09/09/2021] [Accepted: 10/15/2021] [Indexed: 01/09/2023]
Abstract
Across the lifespan, learners have to tackle the challenges of learning new skills. These skills can range from abilities needed for survival, such as learning languages, learning to walk during infancy, and learning new software for a job in adulthood, to abilities related to leisure and hobbies. As the learner progresses through novice to expert stages, there are cognitive and metacognitive, motivational, and resource considerations for learning new skills. In terms of cognitive considerations, fluid and crystallized abilities as well as executive functions interact to help the learner process and retain information related to the skills. In terms of metacognitive considerations, knowing what to learn and how to learn are important for novel skill learning. In terms of motivational considerations, changes in individuals' intrinsic and extrinsic motivation throughout the lifespan impact their pursuit of novel skill learning, and declines in motivation can be buffered through the cultivation of grit, growth mindset, self-efficacy, and other personal factors. In terms of resource considerations, there are many tools that learners can use to acquire new skills, but allocation and availability of these resources differ based on life stage and socioeconomic status. Taken together, these considerations may provide learners with the best chance at acquiring new skills across the lifespan. Further research investigating these three factors, particularly among older adult learners, and their interactive effects could help increase our understanding of their impacts on skill learning and inform future cognitive interventions that can be tailored to learners' unique needs. This article is categorized under: Cognitive Biology > Cognitive Development Psychology > Development and Aging Psychology > Learning.
Collapse
Affiliation(s)
- Pamela Sheffler
- Department of Psychology, University of California, Riverside, California, USA
| | - Tania M Rodriguez
- Department of Psychology, University of California, Riverside, California, USA
| | - Cecilia S Cheung
- Department of Psychology, University of California, Riverside, California, USA
| | - Rachel Wu
- Department of Psychology, University of California, Riverside, California, USA
| |
Collapse
|
37
|
Chen D, Jutkowitz E, Iosepovici SL, Lin JC, Gross AL. Pre-statistical harmonization of behavrioal instruments across eight surveys and trials. BMC Med Res Methodol 2021; 21:227. [PMID: 34689753 PMCID: PMC8543796 DOI: 10.1186/s12874-021-01431-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 10/08/2021] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Data harmonization is a powerful method to equilibrate items in measures that evaluate the same underlying construct. There are multiple measures to evaluate dementia related behavioral symptoms. Pre-statistical harmonization of behavioral instruments in dementia research is the first step to develop a statistical crosswalk between measures. Studies that conduct pre-statistical harmonization of behavioral instruments rarely document their methods in a structured, reproducible manner. This is a crucial step which entails careful review, documentation and scrutiny of source data to ensure sufficient comparability between items prior to data pooling. Here, we document the pre-statistical harmonization of items measuring behavioral and psychological symptoms among people with dementia. We provide a box of recommended procedure for future studies. METHODS We identified behavioral instruments that are used in clinical practice, a national survey, and randomized trials of dementia care interventions. We rigorously reviewed question content and scoring procedures to establish sufficient comparability across items as well as item quality prior to data pooling. Additionally, we standardized coding to Stata-readable format, which allowed us to automate approaches to identify potential cross-study differences in items and low-quality items. To ensure reasonable model fit for statistical co-calibration, we estimated two-parameter logistic Item Response Theory models within each of the eight studies. RESULTS We identified 59 items from 11 behavioral instruments across the eight datasets. We found considerable cross-study heterogeneity in administration and coding procedures for items that measure the same attribute. Discrepancies existed in terms of directionality and quantification of behavioral symptoms for even seemingly comparable items. We resolved item response heterogeneity, missingness and skewness, conditional dependency prior to estimation of item response theory models for statistical co-calibration. We used several rigorous data transformation procedures to address these issues, including re-coding and truncation. CONCLUSIONS This study highlights the importance of each aspect involved in the pre-statistical harmonization process of behavioral instruments. We provide guidelines and recommendations for how future research may detect and account for similar issues in pooling behavioral and related instruments.
Collapse
Affiliation(s)
- Diefei Chen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States, 2024 E. Monument Street, Baltimore, MD 21205 USA
| | - Eric Jutkowitz
- Health Services, Policy & Practice, Brown School of Public Health, Providence, RI USA
- Center of Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, RI USA
| | - Skylar L. Iosepovici
- Health Services, Policy & Practice, Brown School of Public Health, Providence, RI USA
| | - John C. Lin
- Health Services, Policy & Practice, Brown School of Public Health, Providence, RI USA
| | - Alden L. Gross
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States, 2024 E. Monument Street, Baltimore, MD 21205 USA
- Johns Hopkins University Center on Aging and Health, Baltimore, MD USA
| |
Collapse
|
38
|
Letang SK, Lin SSH, Parmelee PA, McDonough IM. Ethnoracial disparities in cognition are associated with multiple socioeconomic status-stress pathways. Cogn Res Princ Implic 2021; 6:64. [PMID: 34626254 PMCID: PMC8502192 DOI: 10.1186/s41235-021-00329-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 09/21/2021] [Indexed: 11/10/2022] Open
Abstract
Systemic racism can have broad impacts on health in ethnoracial minorities. One way is by suppressing socioeconomic status (SES) levels through barriers to achieve higher income, wealth, and educational attainment. Additionally, the weathering hypothesis proposes that the various stressful adversities faced by ethnoracial minorities lead to greater wear and tear on the body, known as allostatic load. In the present study, we extend these ideas to cognitive health in a tri-ethnic sample of young adults-when cognition and brain health is arguably at their peak. Specifically, we tested competing mediation models that might shed light on how two key factors caused by systemic racism-SES and perceived stress-intersect to explain ethnoracial disparities in cognition. We found evidence for partial mediation via a pathway from SES to stress on episodic memory, working memory capacity, and executive function in Black Americans relative to non-Hispanic White Americans. Additionally, we found that stress partially mediated the ethnoracial disparities in working memory updating for lower SES Black and Hispanic Americans relative to non-Hispanic White Americans, showing that higher SES can sometimes reduce the negative effects stress has on these disparities in some cognitive domains. Overall, these findings suggest that multiple pathways exist in which lower SES creates a stressful environment to impact ethnoracial disparities cognition. These pathways differ depending on the specific ethnoracial category and cognitive domain. The present results may offer insight into strategies to help mitigate the late-life risk for neurocognitive disorders in ethnoracial minorities.
Collapse
Affiliation(s)
- Sarah K Letang
- Department of Psychology, The University of Alabama, 505 Hackberry Lane, BOX 870348, Tuscaloosa, AL, 35487, USA
| | - Shayne S-H Lin
- Department of Psychology, The University of Alabama, 505 Hackberry Lane, BOX 870348, Tuscaloosa, AL, 35487, USA
| | - Patricia A Parmelee
- Department of Psychology, The University of Alabama, 505 Hackberry Lane, BOX 870348, Tuscaloosa, AL, 35487, USA
- Alabama Research Institute on Aging, Tuscaloosa, USA
| | - Ian M McDonough
- Department of Psychology, The University of Alabama, 505 Hackberry Lane, BOX 870348, Tuscaloosa, AL, 35487, USA.
- Alabama Research Institute on Aging, Tuscaloosa, USA.
| |
Collapse
|
39
|
Hickson R, Marin MP, Dunn M. Minority Women. Clin Geriatr Med 2021; 37:523-532. [PMID: 34600719 DOI: 10.1016/j.cger.2021.05.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Perceptions of illness, pain, and death are not static. They vary among populations according to their cultural and biological characteristics. Older black and Hispanic/Latinx women are unique in their approach to health care with respect to mentation, mobility, medication adherence, and what matters to them. It is the complexity of these components, which affect the ability of these women to age gracefully.
Collapse
Affiliation(s)
- Renee Hickson
- Oak Street Healthcare, 4800 Chef Menteur Highway, New Orleans, LA 70126, USA.
| | - Monica Pernia Marin
- Department of Geriatrics and Palliative Medicine, The George Washington University, 2150 Pennsylvania Avenue Northwest, Washington, DC 20037, USA
| | - Marisa Dunn
- Jencare Senior Medical Center, 2124 Candler Road, Decatur, GA 30032, USA
| |
Collapse
|
40
|
Li J, Llibre‐Guerra JJ, Harrati A, Weiss J, Jiménez‐Velázquez IZ, Acosta D, Llibre‐Rodriguez JDJ, Liu M, Dow WH. Associations between education and dementia in the Caribbean and the United States: An international comparison. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2021; 7:e12204. [PMID: 34504942 PMCID: PMC8418669 DOI: 10.1002/trc2.12204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 07/14/2021] [Accepted: 07/28/2021] [Indexed: 11/10/2022]
Abstract
INTRODUCTION Despite high dementia prevalence in Hispanic populations globally, especially Caribbean Hispanics, no study has comparatively examined the association between education and dementia among Hispanics living in the Caribbean Islands and older adults in the United States. METHODS We used data on 6107 respondents aged 65 and older in the baseline wave of the population-based and harmonized 10/66 survey from Cuba, the Dominican Republic, and Puerto Rico, collected between 2003 and 2008, and 11,032 respondents aged 65 and older from the U.S.-based Health and Retirement Study data in 2014, a total of 17,139 individuals. We estimated multivariable logistic regression models examining the association between education and dementia, adjusted for age, income, assets, and occupation. The models were estimated separately for the Caribbean population (pooled and by setting) and the U.S. population by race/ethnicity (Hispanic, Black, and White), followed by pooled models across all populations. RESULTS In the Caribbean population, the relative risk of dementia among low versus high educated adults was 1.45 for women (95% confidence interval [CI] 1.17, 1.74) and 1.92 (95% CI 1.35, 2.49) for men, smaller compared to those in the United States, especially among non-Hispanic Whites (women: 2.78, 95% CI 1.94, 3.61; men: 5.98, 95% CI 4.02, 7.95). DISCUSSION The differential associations between education and dementia across the Caribbean and US settings may be explained by greater disparities in social conditions in the United States compared to the Caribbean, such as access to health care, healthy behaviors, and social stressors, which serve as potentially important mediators.
Collapse
Affiliation(s)
- Jing Li
- Department of Population Health SciencesWeill Cornell Medical CollegeCornell UniversityNew YorkNYUSA
| | | | - Amal Harrati
- Department of Primary Care and Population HealthSchool of MedicineStanford UniversityStanfordCAUSA
| | - Jordan Weiss
- Department of DemographyUniversity of California at BerkeleyBerkeleyCAUSA
| | | | - Daisy Acosta
- Universidad Nacional Pedro Henriquez Ureña (UNPHU)Santo DomingoDominican Republic
| | | | - Mao‐Mei Liu
- Department of DemographyUniversity of California at BerkeleyBerkeleyCAUSA
| | - William H. Dow
- Department of DemographyUniversity of California at BerkeleyBerkeleyCAUSA
- School of Public HealthUniversity of California at BerkeleyBerkeleyCAUSA
| |
Collapse
|
41
|
Jang JB, Hicken MT, Mullins M, Esposito M, Sol K, Manly JJ, Judd S, Wadley V, Clarke PJ. Racial segregation and cognitive function among older adults in the United States: Findings from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study. J Gerontol B Psychol Sci Soc Sci 2021; 77:1132-1143. [PMID: 34137853 DOI: 10.1093/geronb/gbab107] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES Residential segregation is one of the fundamental features of health disparities in the United States. Yet little research has examined how living in segregated metropolitan areas is related to cognitive function and cognitive decline with age. We examined the association between segregation at the Metropolitan Statistical Area (MSA) level and trajectories of age-related cognitive function. METHOD Using data from Black and White older adults in the REasons for Geographic and Racial Differences in Stroke (REGARDS) study (n=18,913), we employed linear growth curve models to examine how living in racially segregated MSAs at baseline, measured by the degree of Non-Hispanic Black [NHB] isolation and NHB dissimilarity, was associated with trajectories of age-related cognitive function and how the associations varied by race and education. RESULTS Living in MSAs with greater levels of isolation was associated with lower cognitive function (b=-0.093, p<0.05) but was not associated with rates of change in cognitive decline with age. No effects of living in isolated MSAs were found for those with at least a high school education, but older adults with less than a high school education had lower cognitive function in MSAs with greater isolation (b=-0.274, p<0.05). The degree of dissimilarity was not associated with cognitive function. The association between segregation and cognitive function did not vary by race. DISCUSSION Metropolitan segregation was associated with lower cognitive function among older adults, especially for those with lower education living in racially isolated MSAs. This suggests complex associations between individual socioeconomic status, place, and cognitive health.
Collapse
Affiliation(s)
| | - Margaret T Hicken
- Institute for Social Research, Department of Internal Medicine, University of Michigan
| | - Megan Mullins
- Rogel Cancer Center, Center for Improving Patient and Population.,Health,Institute for Social Research, University of Michigan
| | | | - Ketlyne Sol
- Department of Psychology, University of Michigan
| | - Jennifer J Manly
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University
| | - Suzanne Judd
- Department of Biostatistics, University of Alabama at Birmingham
| | - Virginia Wadley
- Department of Medicine, Division of Gerontology, Geriatrics, and Palliative Care, University of Alabama at Birmingham
| | - Philippa J Clarke
- Institute for Social Research, Department of Epidemiology, University of Michigan
| |
Collapse
|
42
|
Comparison of Education and Episodic Memory as Modifiers of Brain Atrophy Effects on Cognitive Decline: Implications for Measuring Cognitive Reserve. J Int Neuropsychol Soc 2021; 27:401-411. [PMID: 33455611 PMCID: PMC8137673 DOI: 10.1017/s1355617720001095] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
OBJECTIVE This study compared the level of education and tests from multiple cognitive domains as proxies for cognitive reserve. METHOD The participants were educationally, ethnically, and cognitively diverse older adults enrolled in a longitudinal aging study. We examined independent and interactive effects of education, baseline cognitive scores, and MRI measures of cortical gray matter change on longitudinal cognitive change. RESULTS Baseline episodic memory was related to cognitive decline independent of brain and demographic variables and moderated (weakened) the impact of gray matter change. Education moderated (strengthened) the gray matter change effect. Non-memory cognitive measures did not incrementally explain cognitive decline or moderate gray matter change effects. CONCLUSIONS Episodic memory showed strong construct validity as a measure of cognitive reserve. Education effects on cognitive decline were dependent upon the rate of atrophy, indicating education effectively measures cognitive reserve only when atrophy rate is low. Results indicate that episodic memory has clinical utility as a predictor of future cognitive decline and better represents the neural basis of cognitive reserve than other cognitive abilities or static proxies like education.
Collapse
|
43
|
Garcia MA, Downer B, Chiu CT, Saenz JL, Ortiz K, Wong R. Educational Benefits and Cognitive Health Life Expectancies: Racial/Ethnic, Nativity, and Gender Disparities. THE GERONTOLOGIST 2021; 61:330-340. [PMID: 32833008 DOI: 10.1093/geront/gnaa112] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND AND OBJECTIVES To examine racial/ethnic, nativity, and gender differences in the benefits of educational attainment on cognitive health life expectancies among older adults in the United States. RESEARCH DESIGN AND METHODS We used data from the Health and Retirement Study (1998-2014) to estimate Sullivan-based life tables of cognitively healthy, cognitively impaired/no dementia, and dementia life expectancies by gender for older White, Black, U.S.-born Hispanic, and foreign-born Hispanic adults with less than high school, high school, and some college or more. RESULTS White respondents lived a greater percentage of their remaining lives cognitively healthy than their minority Black or Hispanic counterparts, regardless of level of education. Among respondents with some college or more, versus less than high school, Black and U.S.-born Hispanic women exhibited the greatest increase (both 37 percentage points higher) in the proportion of total life expectancy spent cognitively healthy; whereas White women had the smallest increase (17 percentage points higher). For men, the difference between respondents with some college or more, versus less than high school, was greatest for Black men (35 percentage points higher) and was lowest for U.S.-born Hispanic men (21 percentage points higher). DISCUSSION AND IMPLICATIONS Our results provide evidence that the benefits of education on cognitive health life expectancies are largest for Black men and women and U.S.-born Hispanic women. The combination of extended longevity and rising prevalence of Alzheimer's disease points to the need for understanding why certain individuals spend an extended period of their lives with poor cognitive health.
Collapse
Affiliation(s)
- Marc A Garcia
- Department of Sociology and Institute for Ethnic Studies, University of Nebraska-Lincoln
| | - Brian Downer
- Division of Rehabilitation Sciences, University of Texas Medical Branch, Galveston
| | - Chi-Tsun Chiu
- Institute of European and American Studies, Academia Sinica, Taipei, Taiwan
| | - Joseph L Saenz
- Davis School of Gerontology, University of Southern California, Los Angeles
| | - Kasim Ortiz
- Department of Sociology & Criminology, University of New Mexico, Albuquerque
| | - Rebeca Wong
- Department of Preventive Medicine and Population Health, University of Texas Medical Branch, Galveston
| |
Collapse
|
44
|
Hernandez Saucedo H, Whitmer RA, Glymour M, DeCarli C, Mayeda ER, Gilsanz P, Miles SQ, Bhulani N, Farias ST, Olichney J, Mungas D. Measuring cognitive health in ethnically diverse older adults. J Gerontol B Psychol Sci Soc Sci 2021; 77:261-271. [PMID: 33842969 PMCID: PMC8824686 DOI: 10.1093/geronb/gbab062] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE Understanding racial/ethnic disparities in late-life cognitive health is a public health imperative. We used baseline data from the Kaiser Healthy Aging and Diverse Life Experiences (KHANDLE) study to examine how age, education, gender, and clinical diagnosis, a proxy for brain health, are associated with cross-sectional measures of cognition in diverse racial/ethnic groups. METHOD Comprehensive measures of cognition were obtained using the Spanish and English Neuropsychological Assessment Scales and the NIH Toolbox Cognitive Health Battery in a sample of 1695 KHANDLE participants (Asians 24%, Blacks 26%, Latinos 20%, Whites 29%). A 25% random subsample was clinically evaluated and diagnosed with normal cognition, mild cognitive impairment (MCI), or dementia. Cognitive test scores were regressed on core demographic variables and diagnosis in the combined sample and in multiple group analyses stratified by racial/ethnic group. RESULTS Race/ethnicity and education were variably associated with test scores with strongest associations with tests of vocabulary and semantic memory. Older age was associated with poorer performance on all measures, and gender differences varied across cognitive tests. Clinical diagnosis of MCI or dementia was associated with average decrements in test scores that ranged from -0.41 to -0.84 SD, with largest differences on tests of executive function and episodic memory. With few exceptions, associations of demographic variables and clinical diagnosis did not differ across racial/ethnic groups. DISCUSSION The robust associations of cognitive test results with clinical diagnosis independent of core demographic variables and race/ethnicity supports the validity of cognitive tests as indicators for brain health in diverse older adults.
Collapse
Affiliation(s)
| | - Rachel A Whitmer
- University of California Davis, Public Health Sciences.,Kaiser Permanente Division of Research, Oakland
| | - Maria Glymour
- University of California San Francisco, Epidemiology and Biostatistics
| | | | | | | | | | - Nihal Bhulani
- University of California Davis, Department of Neurology
| | | | - John Olichney
- University of California Davis, Department of Neurology
| | - Dan Mungas
- University of California Davis, Department of Neurology
| |
Collapse
|
45
|
Eng CW, Glymour MM, Gilsanz P, Mungas DM, Mayeda ER, Meyer OL, Whitmer RA. Do the Benefits of Educational Attainment for Late-life Cognition Differ by Racial/Ethnic Group?: Evidence for Heterogenous Treatment Effects in the Kaiser Healthy Aging and Diverse Life Experience (KHANDLE) Study. Alzheimer Dis Assoc Disord 2021; 35:106-113. [PMID: 33044303 PMCID: PMC8176621 DOI: 10.1097/wad.0000000000000418] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 09/08/2020] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Educational attainment is associated with late-life cognitive performance and dementia; few studies have examined diverse racial/ethnic groups to assess whether the association differs by race/ethnicity. METHODS We investigated whether the association between educational attainment and cognition differed between White, Black, Asian, and Latino participants in the Kaiser Healthy Aging and Diverse Life Experiences study (n=1348). Covariate-adjusted multivariable linear regression models examined domains of verbal episodic memory, semantic memory, and executive functioning. RESULTS We observed significant effect heterogeneity by race/ethnicity only for verbal episodic memory (P=0.0198), for which any schooling between high school and college was beneficial for White, Asian, and Black participants, but not Latino participants. We found no evidence of heterogeneity for semantic memory or executive function. DISCUSSION With the exception of Latino performance on verbal episodic memory, more education consistently predicted better cognitive scores to a similar extent across racial/ethnic groups, despite likely heterogenous educational and social experiences.
Collapse
Affiliation(s)
- Chloe W. Eng
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16 St.,San Francisco, CA 94158, San Francisco, CA, USA
- Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612, Oakland, CA, USA
| | - M. Maria Glymour
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16 St.,San Francisco, CA 94158, San Francisco, CA, USA
| | - Paola Gilsanz
- Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612, Oakland, CA, USA
| | - Dan M. Mungas
- Department of Neurology, University of California Davis, 4860 Y St., Sacramento, CA 95817, Davis, CA, USA
| | - Elizabeth Rose Mayeda
- Department of Epidemiology, University of California Los Angeles, 650 Charles E. Young Dr. South, 16-035 Center for Health Sciences, Los Angeles, CA 90095, Los Angeles, CA, USA
| | - Oanh L. Meyer
- Department of Neurology, University of California Davis, 4860 Y St., Sacramento, CA 95817, Davis, CA, USA
| | - Rachel A. Whitmer
- Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612, Oakland, CA, USA
- Department of Public Health Sciences, University of California Davis, Medical Sciences 1-C, One Shields Avenue, Davis, CA 95616, Davis, CA, USA
| |
Collapse
|
46
|
Abstract
Males and females are subject to differences in cognitive processing strategies, i.e. the way males and females solve cognitive tasks. So far primarily reported for younger adults, this seems to be especially important in older adults, who also show sex differences in cognitive impairments. Therefore, the aim of the current study was to examine the older adult population with respect to cognitive profiles derived from a large variety of cognitive functions. Using an exploratory component analysis with consecutive confirmatory factor analysis in a sample of 676 older adults, neuropsychological performance data in a variety of cognitive domains was decomposed into cognitive components. A general cognitive profile based on the whole group fits unequally well on the two sexes. Importantly, cognitive profiles based on either males or females differ in terms of their composition of cognitive components, i.e. three components in males versus four components in females, with a generally better model fit in females. Thus, related to the established differences in processing styles between males and females the current study found a rather decomposed (or local) cognitive profile in females while males seem to show a holistic (or global) cognitive profile, with more interrelations between different cognitive functions.
Collapse
|
47
|
Oelsner EC, Allen NB, Ali T, Anugu P, Andrews H, Asaro A, Balte PP, Barr RG, Bertoni AG, Bon J, Boyle R, Chang AA, Chen G, Cole SA, Coresh J, Cornell E, Correa A, Couper D, Cushman M, Demmer RT, Elkind MSV, Folsom AR, Fretts AM, Gabriel KP, Gallo L, Gutierrez J, Han MK, Henderson JM, Howard VJ, Isasi CR, Jacobs DR, Judd SE, Mukaz DK, Kanaya AM, Kandula NR, Kaplan R, Krishnaswamy A, Kinney GL, Kucharska-Newton A, Lee JS, Lewis CE, Levine DA, Levitan EB, Levy B, Make B, Malloy K, Manly JJ, Meyer KA, Min YI, Moll M, Moore WC, Mauger D, Ortega VE, Palta P, Parker MM, Phipatanakul W, Post W, Psaty BM, Regan EA, Ring K, Roger VL, Rotter JI, Rundek T, Sacco RL, Schembri M, Schwartz DA, Seshadri S, Shikany JM, Sims M, Hinckley Stukovsky KD, Talavera GA, Tracy RP, Umans JG, Vasan RS, Watson K, Wenzel SE, Winters K, Woodruff PG, Xanthakis V, Zhang Y, Zhang Y. Collaborative Cohort of Cohorts for COVID-19 Research (C4R) Study: Study Design. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2021:2021.03.19.21253986. [PMID: 33758891 PMCID: PMC7987050 DOI: 10.1101/2021.03.19.21253986] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) is a national prospective study of adults at risk for coronavirus disease 2019 (COVID-19) comprising 14 established United States (US) prospective cohort studies. For decades, C4R cohorts have collected extensive data on clinical and subclinical diseases and their risk factors, including behavior, cognition, biomarkers, and social determinants of health. C4R will link this pre-COVID phenotyping to information on SARS-CoV-2 infection and acute and post-acute COVID-related illness. C4R is largely population-based, has an age range of 18-108 years, and broadly reflects the racial, ethnic, socioeconomic, and geographic diversity of the US. C4R is ascertaining severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and COVID-19 illness using standardized questionnaires, ascertainment of COVID-related hospitalizations and deaths, and a SARS-CoV-2 serosurvey via dried blood spots. Master protocols leverage existing robust retention rates for telephone and in-person examinations, and high-quality events surveillance. Extensive pre-pandemic data minimize referral, survival, and recall bias. Data are being harmonized with research-quality phenotyping unmatched by clinical and survey-based studies; these will be pooled and shared widely to expedite collaboration and scientific findings. This unique resource will allow evaluation of risk and resilience factors for COVID-19 severity and outcomes, including post-acute sequelae, and assessment of the social and behavioral impact of the pandemic on long-term trajectories of health and aging.
Collapse
|
48
|
Avila JC, Mejia-Arangom S, Jupiter D, Downer B, Wong R. The Effect of Diabetes on the Cognitive Trajectory of Older Adults in Mexico and the United States. J Gerontol B Psychol Sci Soc Sci 2021; 76:e153-e164. [PMID: 32678911 PMCID: PMC7955990 DOI: 10.1093/geronb/gbaa094] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES To study the impact of diabetes on the long-term cognitive trajectories of older adults in 2 countries with different socioeconomic and health settings, and to determine whether this relationship differs by cognitive domains. This study uses Mexico and the United States to confirm if patterns hold in both populations, as these countries have similar diabetes prevalence but different socioeconomic conditions and diabetes-related mortality. METHODS Two nationally representative cohorts of adults aged 50 years or older are used: the Mexican Health and Aging Study for Mexico and the Health and Retirement Study for the United States, with sample sizes of 18,810 and 26,244 individuals, respectively, followed up for a period of 14 years. The outcome is cognition measured as a total composite score and by domain (memory and nonmemory). Mixed-effect linear models are used to test the effect of diabetes on cognition at 65 years old and over time in each country. RESULTS Diabetes is associated with lower cognition and nonmemory scores at baseline and over time in both countries. In Mexico, diabetes only predicts lower memory scores over time, whereas in the United States it only predicts lower memory scores at baseline. Women have higher total cognition and memory scores than men in both studies. The magnitude of the effect of diabetes on cognition is similar in both countries. DISCUSSION Despite the overall lower cognition in Mexico and different socioeconomic characteristics, the impact of diabetes on cognitive decline and the main risk and protective factors for poor cognition are similar in both countries.
Collapse
Affiliation(s)
- Jaqueline C Avila
- Department of Preventive Medicine and Population Health, University of Texas Medical Branch, Galveston
| | - Silvia Mejia-Arangom
- Departamento de Estudios de Población, El Colegio de la Frontera Norte, Tijuana, Mexico
| | - Daniel Jupiter
- Department of Preventive Medicine and Population Health, University of Texas Medical Branch, Galveston
- Department of Orthopaedic Surgery and Rehabilitation, University of Texas Medical Branch, Galveston
| | - Brian Downer
- Division of Rehabilitation Sciences, University of Texas Medical Branch, Galveston
| | - Rebeca Wong
- Department of Preventive Medicine and Population Health, University of Texas Medical Branch, Galveston
- Sealy Center on Aging, University of Texas Medical Branch, Galveston
| |
Collapse
|
49
|
Martorana A, Assogna M, DE Lucia V, Motta C, Bonomi CG, Bernocchi F, DI Donna MG, Koch G. Cognitive reserve and Alzheimer's biological continuum: clues for prediction and prevention of dementia. Minerva Med 2021; 112:441-447. [PMID: 33709673 DOI: 10.23736/s0026-4806.21.07448-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Cognitive reserve is originally an epidemiological concept that encompasses individual abilities to cope with changes. It is considered the result of a balance between processes of cellular damage and repair, and its description raised much interest in predicting and preventing cognitive decline in aging and Alzheimer's disease (AD). In this study, we discussed the concept of cognitive reserve considering the recent definition of AD as a biological continuum and suggest that the protection of cognitive reserve may result from efficient synaptic plasticity mechanisms. Despite pathological changes of AD appearing very early during life, long before the onset of cognitive symptoms, different variables act together to keep repair mechanisms effective guaranteeing successful aging if environmental enrichment is maintained.
Collapse
Affiliation(s)
| | - Martina Assogna
- Memory Clinic, Tor Vergata University, Rome, Italy.,Unit of Non-Invasive Brain Stimulation, IRCCS Santa Lucia, Rome, Italy
| | | | - Caterina Motta
- Unit of Non-Invasive Brain Stimulation, IRCCS Santa Lucia, Rome, Italy
| | | | | | | | - Giacomo Koch
- Unit of Non-Invasive Brain Stimulation, IRCCS Santa Lucia, Rome, Italy.,Human Physiology Unit, Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy
| |
Collapse
|
50
|
Schindler SE, Cruchaga C, Joseph A, McCue L, Farias FHG, Wilkins CH, Deming Y, Henson RL, Mikesell RJ, Piccio L, Llibre-Guerra JJ, Moulder KL, Fagan AM, Ances BM, Benzinger TLS, Xiong C, Holtzman DM, Morris JC. African Americans Have Differences in CSF Soluble TREM2 and Associated Genetic Variants. NEUROLOGY-GENETICS 2021; 7:e571. [PMID: 33884297 PMCID: PMC8054965 DOI: 10.1212/nxg.0000000000000571] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 01/20/2021] [Indexed: 11/30/2022]
Abstract
Objective To evaluate for racial differences in triggering receptor expressed on myeloid cells 2 (TREM2), a key immune mediator in Alzheimer disease, the levels of CSF soluble TREM2 (sTREM2), and the frequency of associated genetic variants were compared in groups of individuals who self-reported their race as African American (AA) or non-Hispanic White (NHW). Methods Community-dwelling older research participants underwent measurement of CSF sTREM2 concentrations and genetic analyses. Results The primary cohort included 91 AAs and 868 NHWs. CSF sTREM2 levels were lower in the AA compared with the NHW group (1,336 ± 470 vs 1,856 ± 624 pg/mL, p < 0.0001). AAs were more likely to carry TREM2 coding variants (15% vs 3%, p < 0.0001), which were associated with lower CSF sTREM2. AAs were less likely to carry the rs1582763 minor allele (8% vs 37%, p < 0.0001), located near MS4A4A, which was associated with higher CSF sTREM2. These findings were replicated in an independent cohort of 23 AAs and 917 NHWs: CSF sTREM2 levels were lower in the AA group (p = 0.03), AAs were more likely to carry coding TREM2 variants (22% vs 4%, p = 0.002), and AAs were less likely to carry the rs1582763 minor allele (16% vs 37%, p = 0.003). Conclusions On average, AAs had lower CSF sTREM2 levels compared with NHWs, potentially because AAs are more likely to carry genetic variants associated with lower CSF sTREM2 levels. Importantly, CSF sTREM2 reflects TREM2-mediated microglial activity, a critical step in the immune response to amyloid plaques. These findings suggest that race may be associated with risk for genetic variants that influence Alzheimer disease–related inflammation.
Collapse
Affiliation(s)
- Suzanne E Schindler
- Department of Neurology (S.E.S., A.J., R.L.H., R.J.M., L.P., J.J.L.-G., K.L.M., A.M.F., D.M.H., J.C.M.), Department of Psychiatry (C.C., F.H.G.F.), and Division of Biostatistics (L.M., C.X.), Washington University School of Medicine, St. Louis, MO; Office of Health Equity and Department of Medicine (C.H.W.), Division of Geriatrics, Vanderbilt University Medical Center, Nashville, TN; Department of Internal Medicine (C.H.W.), Meharry Medical College, Nashville, TN; Alzheimers Disease Research Center (Y.D.), University of Wisconsin School of Medicine and Public Health, Madison; Brain and Mind Centre (L.P.), University of Sydney, NSW, Australia; and Mallinckrodt Institute of Radiology (B.M.A., T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Carlos Cruchaga
- Department of Neurology (S.E.S., A.J., R.L.H., R.J.M., L.P., J.J.L.-G., K.L.M., A.M.F., D.M.H., J.C.M.), Department of Psychiatry (C.C., F.H.G.F.), and Division of Biostatistics (L.M., C.X.), Washington University School of Medicine, St. Louis, MO; Office of Health Equity and Department of Medicine (C.H.W.), Division of Geriatrics, Vanderbilt University Medical Center, Nashville, TN; Department of Internal Medicine (C.H.W.), Meharry Medical College, Nashville, TN; Alzheimers Disease Research Center (Y.D.), University of Wisconsin School of Medicine and Public Health, Madison; Brain and Mind Centre (L.P.), University of Sydney, NSW, Australia; and Mallinckrodt Institute of Radiology (B.M.A., T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Amulya Joseph
- Department of Neurology (S.E.S., A.J., R.L.H., R.J.M., L.P., J.J.L.-G., K.L.M., A.M.F., D.M.H., J.C.M.), Department of Psychiatry (C.C., F.H.G.F.), and Division of Biostatistics (L.M., C.X.), Washington University School of Medicine, St. Louis, MO; Office of Health Equity and Department of Medicine (C.H.W.), Division of Geriatrics, Vanderbilt University Medical Center, Nashville, TN; Department of Internal Medicine (C.H.W.), Meharry Medical College, Nashville, TN; Alzheimers Disease Research Center (Y.D.), University of Wisconsin School of Medicine and Public Health, Madison; Brain and Mind Centre (L.P.), University of Sydney, NSW, Australia; and Mallinckrodt Institute of Radiology (B.M.A., T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Lena McCue
- Department of Neurology (S.E.S., A.J., R.L.H., R.J.M., L.P., J.J.L.-G., K.L.M., A.M.F., D.M.H., J.C.M.), Department of Psychiatry (C.C., F.H.G.F.), and Division of Biostatistics (L.M., C.X.), Washington University School of Medicine, St. Louis, MO; Office of Health Equity and Department of Medicine (C.H.W.), Division of Geriatrics, Vanderbilt University Medical Center, Nashville, TN; Department of Internal Medicine (C.H.W.), Meharry Medical College, Nashville, TN; Alzheimers Disease Research Center (Y.D.), University of Wisconsin School of Medicine and Public Health, Madison; Brain and Mind Centre (L.P.), University of Sydney, NSW, Australia; and Mallinckrodt Institute of Radiology (B.M.A., T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Fabiana H G Farias
- Department of Neurology (S.E.S., A.J., R.L.H., R.J.M., L.P., J.J.L.-G., K.L.M., A.M.F., D.M.H., J.C.M.), Department of Psychiatry (C.C., F.H.G.F.), and Division of Biostatistics (L.M., C.X.), Washington University School of Medicine, St. Louis, MO; Office of Health Equity and Department of Medicine (C.H.W.), Division of Geriatrics, Vanderbilt University Medical Center, Nashville, TN; Department of Internal Medicine (C.H.W.), Meharry Medical College, Nashville, TN; Alzheimers Disease Research Center (Y.D.), University of Wisconsin School of Medicine and Public Health, Madison; Brain and Mind Centre (L.P.), University of Sydney, NSW, Australia; and Mallinckrodt Institute of Radiology (B.M.A., T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Consuelo H Wilkins
- Department of Neurology (S.E.S., A.J., R.L.H., R.J.M., L.P., J.J.L.-G., K.L.M., A.M.F., D.M.H., J.C.M.), Department of Psychiatry (C.C., F.H.G.F.), and Division of Biostatistics (L.M., C.X.), Washington University School of Medicine, St. Louis, MO; Office of Health Equity and Department of Medicine (C.H.W.), Division of Geriatrics, Vanderbilt University Medical Center, Nashville, TN; Department of Internal Medicine (C.H.W.), Meharry Medical College, Nashville, TN; Alzheimers Disease Research Center (Y.D.), University of Wisconsin School of Medicine and Public Health, Madison; Brain and Mind Centre (L.P.), University of Sydney, NSW, Australia; and Mallinckrodt Institute of Radiology (B.M.A., T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Yuetiva Deming
- Department of Neurology (S.E.S., A.J., R.L.H., R.J.M., L.P., J.J.L.-G., K.L.M., A.M.F., D.M.H., J.C.M.), Department of Psychiatry (C.C., F.H.G.F.), and Division of Biostatistics (L.M., C.X.), Washington University School of Medicine, St. Louis, MO; Office of Health Equity and Department of Medicine (C.H.W.), Division of Geriatrics, Vanderbilt University Medical Center, Nashville, TN; Department of Internal Medicine (C.H.W.), Meharry Medical College, Nashville, TN; Alzheimers Disease Research Center (Y.D.), University of Wisconsin School of Medicine and Public Health, Madison; Brain and Mind Centre (L.P.), University of Sydney, NSW, Australia; and Mallinckrodt Institute of Radiology (B.M.A., T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Rachel L Henson
- Department of Neurology (S.E.S., A.J., R.L.H., R.J.M., L.P., J.J.L.-G., K.L.M., A.M.F., D.M.H., J.C.M.), Department of Psychiatry (C.C., F.H.G.F.), and Division of Biostatistics (L.M., C.X.), Washington University School of Medicine, St. Louis, MO; Office of Health Equity and Department of Medicine (C.H.W.), Division of Geriatrics, Vanderbilt University Medical Center, Nashville, TN; Department of Internal Medicine (C.H.W.), Meharry Medical College, Nashville, TN; Alzheimers Disease Research Center (Y.D.), University of Wisconsin School of Medicine and Public Health, Madison; Brain and Mind Centre (L.P.), University of Sydney, NSW, Australia; and Mallinckrodt Institute of Radiology (B.M.A., T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Robert J Mikesell
- Department of Neurology (S.E.S., A.J., R.L.H., R.J.M., L.P., J.J.L.-G., K.L.M., A.M.F., D.M.H., J.C.M.), Department of Psychiatry (C.C., F.H.G.F.), and Division of Biostatistics (L.M., C.X.), Washington University School of Medicine, St. Louis, MO; Office of Health Equity and Department of Medicine (C.H.W.), Division of Geriatrics, Vanderbilt University Medical Center, Nashville, TN; Department of Internal Medicine (C.H.W.), Meharry Medical College, Nashville, TN; Alzheimers Disease Research Center (Y.D.), University of Wisconsin School of Medicine and Public Health, Madison; Brain and Mind Centre (L.P.), University of Sydney, NSW, Australia; and Mallinckrodt Institute of Radiology (B.M.A., T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Laura Piccio
- Department of Neurology (S.E.S., A.J., R.L.H., R.J.M., L.P., J.J.L.-G., K.L.M., A.M.F., D.M.H., J.C.M.), Department of Psychiatry (C.C., F.H.G.F.), and Division of Biostatistics (L.M., C.X.), Washington University School of Medicine, St. Louis, MO; Office of Health Equity and Department of Medicine (C.H.W.), Division of Geriatrics, Vanderbilt University Medical Center, Nashville, TN; Department of Internal Medicine (C.H.W.), Meharry Medical College, Nashville, TN; Alzheimers Disease Research Center (Y.D.), University of Wisconsin School of Medicine and Public Health, Madison; Brain and Mind Centre (L.P.), University of Sydney, NSW, Australia; and Mallinckrodt Institute of Radiology (B.M.A., T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Jorge J Llibre-Guerra
- Department of Neurology (S.E.S., A.J., R.L.H., R.J.M., L.P., J.J.L.-G., K.L.M., A.M.F., D.M.H., J.C.M.), Department of Psychiatry (C.C., F.H.G.F.), and Division of Biostatistics (L.M., C.X.), Washington University School of Medicine, St. Louis, MO; Office of Health Equity and Department of Medicine (C.H.W.), Division of Geriatrics, Vanderbilt University Medical Center, Nashville, TN; Department of Internal Medicine (C.H.W.), Meharry Medical College, Nashville, TN; Alzheimers Disease Research Center (Y.D.), University of Wisconsin School of Medicine and Public Health, Madison; Brain and Mind Centre (L.P.), University of Sydney, NSW, Australia; and Mallinckrodt Institute of Radiology (B.M.A., T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Krista L Moulder
- Department of Neurology (S.E.S., A.J., R.L.H., R.J.M., L.P., J.J.L.-G., K.L.M., A.M.F., D.M.H., J.C.M.), Department of Psychiatry (C.C., F.H.G.F.), and Division of Biostatistics (L.M., C.X.), Washington University School of Medicine, St. Louis, MO; Office of Health Equity and Department of Medicine (C.H.W.), Division of Geriatrics, Vanderbilt University Medical Center, Nashville, TN; Department of Internal Medicine (C.H.W.), Meharry Medical College, Nashville, TN; Alzheimers Disease Research Center (Y.D.), University of Wisconsin School of Medicine and Public Health, Madison; Brain and Mind Centre (L.P.), University of Sydney, NSW, Australia; and Mallinckrodt Institute of Radiology (B.M.A., T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Anne M Fagan
- Department of Neurology (S.E.S., A.J., R.L.H., R.J.M., L.P., J.J.L.-G., K.L.M., A.M.F., D.M.H., J.C.M.), Department of Psychiatry (C.C., F.H.G.F.), and Division of Biostatistics (L.M., C.X.), Washington University School of Medicine, St. Louis, MO; Office of Health Equity and Department of Medicine (C.H.W.), Division of Geriatrics, Vanderbilt University Medical Center, Nashville, TN; Department of Internal Medicine (C.H.W.), Meharry Medical College, Nashville, TN; Alzheimers Disease Research Center (Y.D.), University of Wisconsin School of Medicine and Public Health, Madison; Brain and Mind Centre (L.P.), University of Sydney, NSW, Australia; and Mallinckrodt Institute of Radiology (B.M.A., T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Beau M Ances
- Department of Neurology (S.E.S., A.J., R.L.H., R.J.M., L.P., J.J.L.-G., K.L.M., A.M.F., D.M.H., J.C.M.), Department of Psychiatry (C.C., F.H.G.F.), and Division of Biostatistics (L.M., C.X.), Washington University School of Medicine, St. Louis, MO; Office of Health Equity and Department of Medicine (C.H.W.), Division of Geriatrics, Vanderbilt University Medical Center, Nashville, TN; Department of Internal Medicine (C.H.W.), Meharry Medical College, Nashville, TN; Alzheimers Disease Research Center (Y.D.), University of Wisconsin School of Medicine and Public Health, Madison; Brain and Mind Centre (L.P.), University of Sydney, NSW, Australia; and Mallinckrodt Institute of Radiology (B.M.A., T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Tammie L S Benzinger
- Department of Neurology (S.E.S., A.J., R.L.H., R.J.M., L.P., J.J.L.-G., K.L.M., A.M.F., D.M.H., J.C.M.), Department of Psychiatry (C.C., F.H.G.F.), and Division of Biostatistics (L.M., C.X.), Washington University School of Medicine, St. Louis, MO; Office of Health Equity and Department of Medicine (C.H.W.), Division of Geriatrics, Vanderbilt University Medical Center, Nashville, TN; Department of Internal Medicine (C.H.W.), Meharry Medical College, Nashville, TN; Alzheimers Disease Research Center (Y.D.), University of Wisconsin School of Medicine and Public Health, Madison; Brain and Mind Centre (L.P.), University of Sydney, NSW, Australia; and Mallinckrodt Institute of Radiology (B.M.A., T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Chengjie Xiong
- Department of Neurology (S.E.S., A.J., R.L.H., R.J.M., L.P., J.J.L.-G., K.L.M., A.M.F., D.M.H., J.C.M.), Department of Psychiatry (C.C., F.H.G.F.), and Division of Biostatistics (L.M., C.X.), Washington University School of Medicine, St. Louis, MO; Office of Health Equity and Department of Medicine (C.H.W.), Division of Geriatrics, Vanderbilt University Medical Center, Nashville, TN; Department of Internal Medicine (C.H.W.), Meharry Medical College, Nashville, TN; Alzheimers Disease Research Center (Y.D.), University of Wisconsin School of Medicine and Public Health, Madison; Brain and Mind Centre (L.P.), University of Sydney, NSW, Australia; and Mallinckrodt Institute of Radiology (B.M.A., T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - David M Holtzman
- Department of Neurology (S.E.S., A.J., R.L.H., R.J.M., L.P., J.J.L.-G., K.L.M., A.M.F., D.M.H., J.C.M.), Department of Psychiatry (C.C., F.H.G.F.), and Division of Biostatistics (L.M., C.X.), Washington University School of Medicine, St. Louis, MO; Office of Health Equity and Department of Medicine (C.H.W.), Division of Geriatrics, Vanderbilt University Medical Center, Nashville, TN; Department of Internal Medicine (C.H.W.), Meharry Medical College, Nashville, TN; Alzheimers Disease Research Center (Y.D.), University of Wisconsin School of Medicine and Public Health, Madison; Brain and Mind Centre (L.P.), University of Sydney, NSW, Australia; and Mallinckrodt Institute of Radiology (B.M.A., T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - John C Morris
- Department of Neurology (S.E.S., A.J., R.L.H., R.J.M., L.P., J.J.L.-G., K.L.M., A.M.F., D.M.H., J.C.M.), Department of Psychiatry (C.C., F.H.G.F.), and Division of Biostatistics (L.M., C.X.), Washington University School of Medicine, St. Louis, MO; Office of Health Equity and Department of Medicine (C.H.W.), Division of Geriatrics, Vanderbilt University Medical Center, Nashville, TN; Department of Internal Medicine (C.H.W.), Meharry Medical College, Nashville, TN; Alzheimers Disease Research Center (Y.D.), University of Wisconsin School of Medicine and Public Health, Madison; Brain and Mind Centre (L.P.), University of Sydney, NSW, Australia; and Mallinckrodt Institute of Radiology (B.M.A., T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| |
Collapse
|