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Thanaraju A, Marzuki AA, Chan JK, Wong KY, Phon-Amnuaisuk P, Vafa S, Chew J, Chia YC, Jenkins M. Structural and functional brain correlates of socioeconomic status across the life span: A systematic review. Neurosci Biobehav Rev 2024; 162:105716. [PMID: 38729281 DOI: 10.1016/j.neubiorev.2024.105716] [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: 01/28/2024] [Revised: 04/08/2024] [Accepted: 05/06/2024] [Indexed: 05/12/2024]
Abstract
It is well-established that higher socioeconomic status (SES) is associated with improved brain health. However, the effects of SES across different life stages on brain structure and function is still equivocal. In this systematic review, we aimed to synthesise findings from life course neuroimaging studies that investigated the structural and functional brain correlates of SES across the life span. The results indicated that higher SES across different life stages were independently and cumulatively related to neural outcomes typically reflective of greater brain health (e.g., increased cortical thickness, grey matter volume, fractional anisotropy, and network segregation) in adult individuals. The results also demonstrated that the corticolimbic system was most commonly impacted by socioeconomic disadvantages across the life span. This review highlights the importance of taking into account SES across the life span when studying its effects on brain health. It also provides directions for future research including the need for longitudinal and multimodal research that can inform effective policy interventions tailored to specific life stages.
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Affiliation(s)
- Arjun Thanaraju
- Department of Biological Sciences, School of Medical and Life Sciences, Sunway University, Malaysia.
| | - Aleya A Marzuki
- Department for Psychiatry and Psychotherapy, Medical School and University Hospital, Eberhard Karls University of Tübingen, Germany
| | - Jee Kei Chan
- Department of Psychology, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Malaysia
| | - Kean Yung Wong
- Sensory Neuroscience and Nutrition Lab, University of Otago, New Zealand
| | - Paveen Phon-Amnuaisuk
- Department of Psychology, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Malaysia
| | - Samira Vafa
- Department of Psychology, School of Medical and Life Sciences, Sunway University, Malaysia
| | - Jactty Chew
- Department of Biological Sciences, School of Medical and Life Sciences, Sunway University, Malaysia
| | - Yook Chin Chia
- Department of Medical Sciences, School of Medical and Life Sciences, Sunway University, Malaysia
| | - Michael Jenkins
- Department of Psychology, School of Medical and Life Sciences, Sunway University, Malaysia
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Huang WQ, Lin Q, Tzeng CM. Leukoaraiosis: Epidemiology, Imaging, Risk Factors, and Management of Age-Related Cerebral White Matter Hyperintensities. J Stroke 2024; 26:131-163. [PMID: 38836265 DOI: 10.5853/jos.2023.02719] [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: 08/18/2023] [Accepted: 01/15/2024] [Indexed: 06/06/2024] Open
Abstract
Leukoaraiosis (LA) manifests as cerebral white matter hyperintensities on T2-weighted magnetic resonance imaging scans and corresponds to white matter lesions or abnormalities in brain tissue. Clinically, it is generally detected in the early 40s and is highly prevalent globally in individuals aged >60 years. From the imaging perspective, LA can present as several heterogeneous forms, including punctate and patchy lesions in deep or subcortical white matter; lesions with periventricular caps, a pencil-thin lining, and smooth halo; as well as irregular lesions, which are not always benign. Given its potential of having deleterious effects on normal brain function and the resulting increase in public health burden, considerable effort has been focused on investigating the associations between various risk factors and LA risk, and developing its associated clinical interventions. However, study results have been inconsistent, most likely due to potential differences in study designs, neuroimaging methods, and sample sizes as well as the inherent neuroimaging heterogeneity and multi-factorial nature of LA. In this article, we provided an overview of LA and summarized the current knowledge regarding its epidemiology, neuroimaging classification, pathological characteristics, risk factors, and potential intervention strategies.
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Affiliation(s)
- Wen-Qing Huang
- Department of Central Laboratory, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qing Lin
- Department of Neurology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
- Xiamen Clinical Research Center for Neurological Diseases, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
- Fujian Provincial Clinical Research Center for Brain Diseases, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
- The Third Clinical College, Fujian Medical University, Fuzhou, Fujian, China
| | - Chi-Meng Tzeng
- Translational Medicine Research Center, School of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian, China
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3
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Kucharska-Newton AM, Pike JR, Chen J, Coresh J, Sharret AR, Mosley T, Palta P. Association of Childhood and Midlife Neighborhood Socioeconomic Position With Cognitive Decline. JAMA Netw Open 2023; 6:e2327421. [PMID: 37540511 PMCID: PMC10403777 DOI: 10.1001/jamanetworkopen.2023.27421] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 06/24/2023] [Indexed: 08/05/2023] Open
Abstract
Importance Early-life socioeconomic adversity may be associated with poor cognitive health over the life course. Objective To examine the association of childhood and midlife neighborhood socioeconomic position (nSEP) with cognitive decline. Design, Setting, and Participants This cohort study included 5711 men and women enrolled in the community-based Atherosclerosis Risk in Communities (ARIC) Study with repeated cognitive data measured over a median 27.0 years (IQR, 26.0-27.9 years) (1990-2019). Statistical analysis was performed from December 2022 through March 2023. Exposure Residence addresses for ARIC Study cohort participants were obtained at midlife (1990-1993) and as recalled addresses at 10 years of age (childhood). A composite nSEP z score was created as a sum of z scores for US Census-based measures of median household income; median value of owner-occupied housing units; percentage of households receiving interest, dividend, or net rental income; percentage of adults with a high school degree; percentage of adults with a college degree; and percentage of adults in professional, managerial, or executive occupations. Childhood nSEP and midlife nSEP were modeled as continuous measures and discretized into tertiles. Main Outcomes and Measures A factor score for global cognition was derived from a battery of cognitive tests administered at 5 in-person visits from baseline to 2019. The rate of cognitive decline from 50 to 90 years of age was calculated by fitting mixed-effects linear regression models with age as the time scale and adjusted for race, sex, birth decade, educational level, and presence of the apolipoprotein E ε4 allele. Results Among 5711 ARIC Study participants (mean [SD] baseline age, 55.1 [4.7] years; 3372 women [59.0%]; and 1313 Black participants [23.0%]), the median rate of cognitive decline was -0.33 SDs (IQR, -0.49 to -0.20 SDs) per decade. In adjusted analyses, each 1-SD-higher childhood nSEP score was associated with a slower (β, -9.2%; 95% CI, -12.1% to -6.4%) rate of cognitive decline relative to the sample median. A comparable association was observed when comparing the highest tertile with the lowest tertile of childhood nSEP (β, -17.7%; 95% CI, -24.1% to -11.3%). Midlife nSEP was not associated with the rate of cognitive decline. Conclusions and Relevance In this cohort study of contextual factors associated with cognitive decline, childhood nSEP was inversely associated with trajectories of cognitive function throughout adulthood.
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Affiliation(s)
- Anna M. Kucharska-Newton
- Department of Epidemiology, University of North Carolina at Chapel Hill
- Department of Epidemiology, University of Kentucky, Lexington
| | - James Russell Pike
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland
| | - Jinyu Chen
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland
| | - A. Richey Sharret
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland
| | - Thomas Mosley
- Department of Neurology, University of Mississippi Medical Center, Jackson
- Department of Medicine, University of Mississippi Medical Center, Jackson
| | - Priya Palta
- Department of Neurology, University of North Carolina at Chapel Hill
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4
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Topping M, Kim J, Fletcher J. Area-Level Infant Mortality Exposure in Early Life and Alzheimer's Disease Mortality: Examining Variation Based on Age, Sex, and Place of Birth. J Alzheimers Dis 2023; 93:1007-1016. [PMID: 37212115 PMCID: PMC10398565 DOI: 10.3233/jad-230086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
BACKGROUND Growing evidence suggests that critical periods in early life may contribute to one's risk of Alzheimer's disease and related dementias (ADRD) in later life. In this paper we explore the role that exposure to infant mortality plays in later life ADRD. OBJECTIVE To determine if exposure to early life infant mortality is associated with later mortality from ADRD. Also, we explore how these associations differ by sex and age group, along with the role of state of birth and competing risks of death. METHODS We use a sample of over 400,000 individuals aged 50 and above with the NIH-AARP Diet and Health Study with mortality follow-up, allowing us to examine how early life infant mortality rates along with other risk factors play in one's individual mortality risk. RESULTS We show that infant mortality rates are associated with death from ADRD among those under 65 years of age, but not those over 65 at baseline interview. Moreover, when factoring in competing risks of death, the associations are relatively unchanged. CONCLUSION These results suggest that those exposed to worse adverse conditions during critical periods increase their likelihood of death from ADRD earlier than average, due to that exposure increasing their susceptibility to develop illness later on in life.
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Affiliation(s)
- Michael Topping
- Department of Sociology, University of Wisconsin-Madison, Madison, WI, USA
- Center for Demography and Ecology, University of Wisconsin-Madison, Madison, WI, USA
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI, USA
| | - Jinho Kim
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI, USA
- Department of Health Policy and Management, Korea University, Seoul, Korea
- Interdisciplinary Program in Precision Public Health, Korea University, Seoul, Korea
| | - Jason Fletcher
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI, USA
- Department of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, USA
- La Follette School of Public Affairs, University of Wisconsin-Madison, Madison, WI, USA
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5
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Bertola L, Benseñor IM, Barreto SM, Giatti L, Moreno AB, Viana MC, Lotufo PA, Suemoto CK. Early life socioeconomic status predicts cognition regardless of education level. Eur J Neurol 2021; 28:3972-3978. [PMID: 34328669 DOI: 10.1111/ene.15042] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 07/23/2021] [Accepted: 07/26/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE Early life socioeconomic status (SES) may impact cognitive performance later in life. We investigated the effect on cognitive performance of early life SES, education, and late life SES in the Brazilian Longitudinal Study of Adult Health. METHODS Path analysis was used to decompose associations between SES measures across the lifespan and cognition. The model included direct paths to cognition from early life SES, education, and late life SES, and indirect paths from early life passing through education and late life SES. We investigated whether the effects of early life SES are similar across middle-aged and older adults. RESULTS In 13,395 adults, the mean age was 51.5 (8.9) years, 54% were female, 53% were white, and 56% had at least college education. The direct path from early life SES remained significant in the presence of mediation paths through education, late life SES, or both, contributing to cognitive performance in both middle-aged and older adults. The indirect and total effect of early life SES was smaller for middle-aged compared to older adults. Early life SES continues to impact cognitive performance later in life independently of educational attainment and late life SES. The higher percent of mediation through education suggests that education may improve later life cognition even in the presence of low early life SES. CONCLUSIONS Our results highlight the importance of public health initiatives to improve early life SES and education to foster cognitive aging in low- and middle-income countries.
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Affiliation(s)
- Laiss Bertola
- Epidemiological and Clinical Research Center, Department of Internal Medicine, University of São Paulo Medical School, University Hospital, University of São Paulo, São Paulo, Brazil
| | - Isabela M Benseñor
- Epidemiological and Clinical Research Center, Department of Internal Medicine, University of São Paulo Medical School, University Hospital, University of São Paulo, São Paulo, Brazil
| | - Sandhi Maria Barreto
- Medical School and Clinical Hospital, Federal University of Minas Gerais, São Paulo, Brazil
| | - Luana Giatti
- Department of Preventive and Social Medicine, Faculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Arlinda B Moreno
- Department of Epidemiology and Quantitative Methods in Health, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | - Maria Carmen Viana
- Department of Social Medicine, Federal University of Espirito Santo, São Paulo, Brazil
| | - Paulo A Lotufo
- Epidemiological and Clinical Research Center, Department of Internal Medicine, University of São Paulo Medical School, University Hospital, University of São Paulo, São Paulo, Brazil
| | - Claudia K Suemoto
- Division of Geriatrics, University of São Paulo Medical School, São Paulo, Brazil
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Lorgen-Ritchie M, Murray AD, Staff R, Ferguson-Smith AC, Richards M, Horgan GW, Phillips LH, Hoad G, McNeil C, Ribeiro A, Haggarty P. Imprinting methylation predicts hippocampal volumes and hyperintensities and the change with age in later life. Sci Rep 2021; 11:943. [PMID: 33441584 PMCID: PMC7806645 DOI: 10.1038/s41598-020-78062-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 10/16/2020] [Indexed: 12/29/2022] Open
Abstract
Epigenetic imprinting is important for neurogenesis and brain function. Hippocampal volumes and brain hyperintensities in late life have been associated with early life circumstances. Epigenetic imprinting may underpin these associations. Methylation was measured at 982 sites in 13 imprinted locations in blood samples from a longitudinal cohort by bisulphite amplicon sequencing. Hippocampal volumes and hyperintensities were determined at age 64y and 72y using MRI. Hyperintensities were determined in white matter, grey matter and infratentorial regions. Permutation methods were used to adjust for multiple testing. At 64y, H19/IGF2 and NESPAS methylation predicted hippocampal volumes. PEG3 predicted hyperintensities in hippocampal grey matter, and white matter. GNASXL predicted grey matter hyperintensities. Changes with age were predicted for hippocampal volume (MEST1, KvDMR, L3MBTL, GNASXL), white matter (MEST1, PEG3) and hippocampal grey matter hyperintensities (MCTS2, GNASXL, NESPAS, L3MBTL, MCTS2, SNRPN, MEST1). Including childhood cognitive ability, years in education, or socioeconomic status as additional explanatory variables in regression analyses did not change the overall findings. Imprinting methylation in multiple genes predicts brain structures, and their change over time. These findings are potentially relevant to the development of novel tests of brain structure and function across the life-course, strategies to improve cognitive outcomes, and our understanding of early influences on brain development and function.
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Affiliation(s)
- Marlene Lorgen-Ritchie
- Rowett Institute of Nutrition and Health, University of Aberdeen, Aberdeen, AB25 2ZD, UK
| | - Alison D Murray
- Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, AB25 2ZD, UK
| | | | | | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Graham W Horgan
- Biomathematics and Statistics Scotland, University of Aberdeen, Aberdeen, AB25 2ZD, UK
| | - Louise H Phillips
- School of Psychology, University of Aberdeen, Aberdeen, AB24 3FX, UK
| | - Gwen Hoad
- Rowett Institute of Nutrition and Health, University of Aberdeen, Aberdeen, AB25 2ZD, UK
| | - Chris McNeil
- Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, AB25 2ZD, UK
| | - Antonio Ribeiro
- Centre for Genome-Enabled Biology and Medicine, University of Aberdeen, Aberdeen, AB24 3UU, UK
| | - Paul Haggarty
- Rowett Institute of Nutrition and Health, University of Aberdeen, Aberdeen, AB25 2ZD, UK.
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7
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Hunt JFV, Buckingham W, Kim AJ, Oh J, Vogt NM, Jonaitis EM, Hunt TK, Zuelsdorff M, Powell R, Norton D, Rissman RA, Asthana S, Okonkwo OC, Johnson SC, Kind AJH, Bendlin BB. Association of Neighborhood-Level Disadvantage With Cerebral and Hippocampal Volume. JAMA Neurol 2020; 77:451-460. [PMID: 31904767 DOI: 10.1001/jamaneurol.2019.4501] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Importance Identifying risk factors for brain atrophy during the aging process can help direct new preventive approaches for dementia and cognitive decline. The association of neighborhood socioeconomic disadvantage with brain volume in this context is not well known. Objective To test whether neighborhood-level socioeconomic disadvantage is associated with decreased brain volume in a cognitively unimpaired population enriched for Alzheimer disease risk. Design, Setting, and Participants This study, conducted from January 6, 2010, to January 17, 2019, at an academic research neuroimaging center, used cross-sectional data on 951 participants from 2 large, ongoing cohort studies of Alzheimer disease (Wisconsin Registry for Alzheimer's Prevention and Wisconsin Alzheimer's Disease Research Center clinical cohort). Participants were cognitively unimpaired based on National Institute on Aging-Alzheimer's Association workgroup diagnostic criteria for mild cognitive impairment and Alzheimer disease, confirmed through a consensus diagnosis panel. The cohort was enriched for Alzheimer disease risk based on family history of dementia. Statistical analysis was performed from April 3 to September 27, 2019. Main Outcomes and Measures The Area Deprivation Index, a geospatially determined index of neighborhood-level disadvantage, and cardiovascular disease risk indices were calculated for each participant. Linear regression models were fitted to test associations between relative neighborhood-level disadvantage (highest 20% based on state of residence) and hippocampal and total brain tissue volume, as assessed by magnetic resonance imaging. Results In the primary analysis of 951 participants (637 women [67.0%]; mean [SD] age, 63.9 [8.1] years), living in the 20% most disadvantaged neighborhoods was associated with 4.1% lower hippocampal volume (β = -317.44; 95% CI, -543.32 to -91.56; P = .006) and 2.0% lower total brain tissue volume (β = -20 959.67; 95% CI, -37 611.92 to -4307.43; P = .01), after controlling for intracranial volume, individual-level educational attainment, age, and sex. Robust propensity score-matched analyses determined that this association was not due to racial/ethnic or demographic characteristics. Cardiovascular risk score, examined in a subsample of 893 participants, mediated this association for total brain tissue but not for hippocampal volume. Conclusions and Relevance For cognitively unimpaired individuals, living in the most disadvantaged neighborhoods was associated with significantly lower cerebral volumes, after controlling for maximal premorbid (total intracranial) volume. This finding suggests an association of community socioeconomic context, distinct from individual-level socioeconomic status, with brain volume during aging. Cardiovascular risk mediated this association for total brain tissue volume but not for hippocampal volume, suggesting that neighborhood-level disadvantage may be associated with these 2 outcomes via distinct biological pathways.
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Affiliation(s)
- Jack F V Hunt
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison
| | - William Buckingham
- Health Services and Care Research Program, University of Wisconsin School of Medicine and Public Health, Madison
| | - Alice J Kim
- Department of Psychology, University of Southern California, Los Angeles
| | - Jennifer Oh
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison
| | - Nicholas M Vogt
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison
| | - Erin M Jonaitis
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison
| | - Tenah K Hunt
- Wisconsin Center for Education Research, University of Wisconsin-Madison
| | - Megan Zuelsdorff
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison
| | - Ryan Powell
- Health Services and Care Research Program, University of Wisconsin School of Medicine and Public Health, Madison
| | - Derek Norton
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison.,Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Robert A Rissman
- Department of Neurosciences, University of California, San Diego
| | - Sanjay Asthana
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison.,Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison.,Geriatrics Division, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison.,Geriatric Research Education and Clinical Center, William S. Middleton Hospital Department of Veterans Affairs, Madison, Wisconsin
| | - Ozioma C Okonkwo
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison.,Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison.,Geriatrics Division, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison.,Geriatric Research Education and Clinical Center, William S. Middleton Hospital Department of Veterans Affairs, Madison, Wisconsin
| | - Sterling C Johnson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison.,Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison.,Geriatrics Division, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison.,Geriatric Research Education and Clinical Center, William S. Middleton Hospital Department of Veterans Affairs, Madison, Wisconsin
| | - Amy J H Kind
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison.,Health Services and Care Research Program, University of Wisconsin School of Medicine and Public Health, Madison.,Geriatrics Division, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison.,Geriatric Research Education and Clinical Center, William S. Middleton Hospital Department of Veterans Affairs, Madison, Wisconsin
| | - Barbara B Bendlin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison.,Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison.,Geriatrics Division, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison.,Geriatric Research Education and Clinical Center, William S. Middleton Hospital Department of Veterans Affairs, Madison, Wisconsin
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8
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Resende EDPF, Llibre Guerra JJ, Miller BL. Health and Socioeconomic Inequities as Contributors to Brain Health. JAMA Neurol 2020; 76:633-634. [PMID: 30907931 DOI: 10.1001/jamaneurol.2019.0362] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Affiliation(s)
- Elisa de Paula França Resende
- Global Brain Health Institute, University of California, San Francisco, and Trinity College Dublin, Dublin, Ireland.,Universidade Federal de Minas Gerais, Minas Gerais, Brazil
| | - Jorge Jesus Llibre Guerra
- Global Brain Health Institute, University of California, San Francisco, and Trinity College Dublin, Dublin, Ireland.,Cognitive and Behavior Research Unit, National Institute of Neurology, La Habana, Cuba
| | - Bruce L Miller
- Global Brain Health Institute, University of California, San Francisco, and Trinity College Dublin, Dublin, Ireland.,Memory and Aging Center, Department of Neurology, University of California, San Francisco
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9
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Association between childhood socioeconomic status and subjective memory complaints among older adults: results from the Japan Gerontological Evaluation Study 2010. Int Psychogeriatr 2019; 31:1699-1707. [PMID: 31317850 DOI: 10.1017/s1041610219000814] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND Subjective memory complaints (SMC) have been suggested as an early marker of mild cognitive impairment and dementia. However, there is a paucity of evidence on the effects of early life conditions on the development of SMC in old age. This study is aimed at investigating the association between childhood socioeconomic status (SES) and SMC in community-dwelling older adults. METHODS We used the data of the Japan Gerontological Evaluation Study, a population-based cohort study of people aged 65 years or older enrolled from 28 municipalities across Japan. Childhood SES and SMC in everyday life were assessed from the self-report questionnaire administered in 2010 (n = 16,184). Poisson regression was performed to determine their association, adjusted for potential confounders and life-course mediators and examined cohort effects. RESULTS We identified SMC in 47.4% of the participants. After adjusting for sex, age, and number of siblings, low and middle childhood SES were associated with 29% (prevalence ratio [PR]: 1.29, 95% confidence interval [CI]: 1.22, 1.36) and 10% higher prevalence of SMC (PR: 1.10, 95%CI: 1.04, 1.17), respectively, compared with high childhood SES (p for trend <.001). The interaction terms between childhood SES and age groups were not statistically significant. CONCLUSION Childhood SES is significantly associated with SMC among community-dwelling older adults. Efforts to minimize childhood poverty may diminish or delay the onset of SMC and dementia in later life.
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10
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Mintzer J, Donovan KA, Kindy AZ, Lock SL, Chura LR, Barracca N. Lifestyle Choices and Brain Health. Front Med (Lausanne) 2019; 6:204. [PMID: 31637242 PMCID: PMC6787147 DOI: 10.3389/fmed.2019.00204] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 09/03/2019] [Indexed: 12/14/2022] Open
Abstract
This article is largely based on the recommendations of the AARP's Global Council on Brain Health (GCBH) and aims to provide an overview of evidence from current literature and expert opinion on key elements known to be relevant in preserving brain health as people age. Although we realize that there may be other lifestyle choices of importance to brain health, the GCBH has decided to initially focus on the issues below based on the preferences and concerns of its members. The areas to be discussed are: mental well-being, exercise, cognitively stimulating activities, sleep, nutrition, and social connectedness. Our review concluded that each of these areas offer opportunities for aging individuals to make lifestyle adjustments to positively impact brain health.
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Affiliation(s)
- Jacobo Mintzer
- Roper Saint Francis Research and Innovation Center, Charleston, SC, United States.,Ralph H. Johnson VA Medical Center, Charleston, SC, United States
| | | | - Arianne Zokas Kindy
- Roper Saint Francis Research and Innovation Center, Charleston, SC, United States.,Ralph H. Johnson VA Medical Center, Charleston, SC, United States
| | - Sarah Lenz Lock
- AARP, Washington, DC, United States.,Global Council on Brain Health, Washington, DC, United States
| | - Lindsay R Chura
- AARP, Washington, DC, United States.,Global Council on Brain Health, Washington, DC, United States
| | - Nicholas Barracca
- AARP, Washington, DC, United States.,Global Council on Brain Health, Washington, DC, United States
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11
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Shaked D, Leibel DK, Katzel LI, Davatzikos C, Gullapalli RP, Seliger SL, Erus G, Evans MK, Zonderman AB, Waldstein SR. Disparities in Diffuse Cortical White Matter Integrity Between Socioeconomic Groups. Front Hum Neurosci 2019; 13:198. [PMID: 31244633 PMCID: PMC6581723 DOI: 10.3389/fnhum.2019.00198] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 05/27/2019] [Indexed: 12/28/2022] Open
Abstract
There is a growing literature demonstrating a link between lower socioeconomic status (SES) and poorer neuroanatomical health, such as smaller total and regional gray and white matter volumes, as well as greater white matter lesion volumes. Little is known, however, about the relation between SES and white matter integrity. Here we examined the relation between SES and white matter integrity of the brain’s primary cortical regions, and evaluated potential moderating influences of age and self-identified race. Participants were 192 neurologically intact, community-dwelling African American and White adults (mean age = 52 years; 44% male, 60% White, low SES = 52%) from the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) SCAN study. Participants underwent 3.0-T cranial magnetic resonance imaging. Diffusion tensor imaging was used to estimate regional fractional anisotropy (FA) to quantify the brain’s white matter integrity and trace to capture diffusivity. Multiple regression analyses examined independent and interactive associations of SES, age, and race with FA of the frontal, temporal, parietal, and occipital lobes bilaterally. Sensitivity analyses assessed the influence of several biopsychosocial risk factors on these associations. Exploratory analyses examined these relations with trace and using additional SES indicators. Results indicated there were no significant interactions of SES, age, and race for any region. Individuals with low SES had lower FA in all regions, and higher trace in the right and left frontal, right and left temporal, and left occipital lobes. Findings remained largely unchanged after inclusion of sensitivity variables. Older age was associated with lower FA and greater trace for all regions, except for the right temporal lobe with FA. No main effects were found for race in FA, and Whites had higher trace values in the parietal lobes. Novel findings of this study indicate that relative to the high SES group, low SES was associated with poorer white matter integrity and greater diffusivity. These results may, in part, reflect exposures to various biopsychosocial risk factors experienced by those of lower SES across the lifespan, and may help explain the preponderance of cognitive and functional disparities between socioeconomic groups.
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Affiliation(s)
- Danielle Shaked
- Department of Psychology, University of Maryland, Baltimore, MD, United States.,Laboratory of Epidemiology and Population Sciences, National Institute on Aging Intramural Research Program, Baltimore, MD, United States
| | - Daniel K Leibel
- Department of Psychology, University of Maryland, Baltimore, MD, United States
| | - Leslie I Katzel
- Division of Gerontology and Geriatric Medicine, University of Maryland School of Medicine, Baltimore, MD, United States.,Geriatric Research Education and Clinical Center, Baltimore VA Medical Center, Baltimore, MD, United States
| | - Christos Davatzikos
- Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - Rao P Gullapalli
- Department of Diagnostic Radiology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Stephen L Seliger
- Geriatric Research Education and Clinical Center, Baltimore VA Medical Center, Baltimore, MD, United States.,Division of Nephrology, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Guray Erus
- Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging Intramural Research Program, Baltimore, MD, United States
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging Intramural Research Program, Baltimore, MD, United States
| | - Shari R Waldstein
- Department of Psychology, University of Maryland, Baltimore, MD, United States.,Division of Gerontology and Geriatric Medicine, University of Maryland School of Medicine, Baltimore, MD, United States.,Geriatric Research Education and Clinical Center, Baltimore VA Medical Center, Baltimore, MD, United States
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12
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Walhovd KB, Howell GR, Ritchie SJ, Staff RT, Cotman CW. What are the earlier life contributions to reserve and resilience? Neurobiol Aging 2019; 83:135-139. [PMID: 31307838 DOI: 10.1016/j.neurobiolaging.2019.04.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Accepted: 04/22/2019] [Indexed: 12/30/2022]
Abstract
The brain's structures and functions arise from a combination of developmental processes and interaction with environmental experiences, beginning in utero and continuing throughout the lifespan. Broadly, the process that we think of as "successful aging" likely has its foundation in early life and is continuously shaped as life experiences are programmed into the brain in response to a changing environment. Thus, individual lifestyle choices and interventions aimed at increasing cognitive reserve and resilience could change the course of cognitive aging. To determine the relative efficacy of these approaches, we will need to understand how the timing of these interventions (e.g., age, duration, frequency) influences cognitive capacity through the lifespan. Although analysis of age-related changes in cognitive function reveals a general decline at the population level, it has become clear that there is great individual variance in the extent to which cognitive function changes with advanced age. The factors responsible for the individual differences in cognitive decline are unclear, but uncovering them with new analytical tools, epigenetic approaches, and subpopulation studies will provide a roadmap toward enhancing reserve and resilience in the population at large and preserving cognitive function in a greater number of aging individuals.
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Affiliation(s)
- Kristine B Walhovd
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | | | - Stuart J Ritchie
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Roger T Staff
- Aberdeen Royal Infirmary, NHS Grampian, Scotland, UK
| | - Carl W Cotman
- Institute for Brain Aging and Dementia, University of California, Irvine, CA, USA.
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13
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Burke SL, Hu T, Fava NM, Li T, Rodriguez MJ, Schuldiner KL, Burgess A, Laird A. Sex differences in the development of mild cognitive impairment and probable Alzheimer's disease as predicted by hippocampal volume or white matter hyperintensities. J Women Aging 2019; 31:140-164. [PMID: 29319430 PMCID: PMC6039284 DOI: 10.1080/08952841.2018.1419476] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
This study examined biological sex differences in the development of mild cognitive impairment (MCI) and probable Alzheimer's disease (AD) development as predicted by changes in the hippocampus or white matter hyperintensities. A secondary data analysis of the National Alzheimer's Coordinating Center Uniform Data Set was conducted. We selected samples of participants with normal cognition at baseline who progressed to MCI (n = 483) and those who progressed to probable AD (n = 211) to determine if hippocampal volume or white matter hyperintensities (WMH) at baseline predicted progression to probable AD or MCI and whether the rate of progression differed between men and women. The survival analyses indicated that changes in hippocampal volumes affected the progression to probable AD (HR = 0.535, 95% CI [0.300-0.953]) only among women. White men had an increased rate of progression to AD (HR = 4.396, CI [1.012-19.08]; HR = 4.665, 95% CI [1.072-20.29]) compared to men in other race and ethnic groups. Among women, increases in hippocampal volume ratio led to decreased rates of progressing to MCI (HR = 0.386, 95% CI [0.166-0.901]). Increased WMH among men led to faster progression to MCI (HR = 1.048. 95% CI [1.011-1.086]). Women and men who were older at baseline were more likely to progress to MCI. In addition, results from longitudinal analyses showed that women with a higher CDR global score, older age at baseline, or more disinhibition symptoms experienced higher odds of MCI development. Changes in hippocampal volumes affect the progression to or odds of probable AD (and MCI) more so among women than men, while changes in WMH affected the progression to MCI only among men.
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Affiliation(s)
- Shanna L. Burke
- Robert Stempel College of Public Health & Social Work, School of Social Work, Florida International University, Miami, Florida, USA
| | - Tianyan Hu
- Department of Health Policy and Management, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, Florida, USA
| | - Nicole M. Fava
- Robert Stempel College of Public Health & Social Work, School of Social Work, Florida International University, Miami, Florida, USA
| | - Tan Li
- Department of Biostatistics, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, Florida, USA
| | - Miriam J. Rodriguez
- Psychology Doctoral Program, Albizu University-Miami Campus, Miami, Florida, USA
| | - Katie L. Schuldiner
- Robert Stempel College of Public Health & Social Work, Florida International University, Miami, Florida, USA
| | - Aaron Burgess
- Robert Stempel College of Public Health & Social Work, Florida International University, Miami, Florida, USA
| | - Angela Laird
- Department of Physics, Center for Imaging Science, Florida International University, Miami, Florida, USA
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14
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Cardiovascular symptoms and longitudinal declines in processing speed differentially predict cerebral white matter lesions in older adults. Arch Gerontol Geriatr 2018; 78:139-149. [PMID: 29960180 DOI: 10.1016/j.archger.2018.06.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Revised: 04/16/2018] [Accepted: 06/21/2018] [Indexed: 11/23/2022]
Abstract
It is well established that cerebral white matter lesions (WML), present in the majority of older adults, are associated with cardiovascular and cerebrovascular diseases and also with cognitive decline. However, much less is known about how WML are related to other important individual characteristics and about the generality vs. brain region-specificity of WML. In a longitudinal study of 112 community-dwelling adults (age 50-71 years at study entry), we used a machine learning approach to evaluate the relative strength of 52 variables in association with WML burden. Variables included socio-demographic, lifestyle, and health indices-as well as multiple cognitive abilities (modeled as latent constructs using factor analysis)-repeatedly measured at three- to six-year intervals. Greater chronological age, symptoms of cardiovascular disease, and processing speed declines were most strongly linked to elevated WML burden (accounting for ∼49% of variability in WML). Whereas frontal lobe WML burden was associated both with elevated cardiovascular symptoms and declines in processing speed, temporal lobe WML burden was only significantly associated with declines in processing speed. These latter outcomes suggest that age-related WML-cognition associations may be etiologically heterogeneous across fronto-temporal cerebral regions.
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15
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McNeil CJ, Myint PK, Sandu AL, Potter JF, Staff R, Whalley LJ, Murray AD. Increased diastolic blood pressure is associated with MRI biomarkers of dementia-related brain pathology in normative ageing. Age Ageing 2018; 47:95-100. [PMID: 29106439 DOI: 10.1093/ageing/afx102] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2017] [Accepted: 06/12/2017] [Indexed: 11/12/2022] Open
Abstract
Background hypertension is a risk for brain ageing, but the mechanisms underlying this effect remain unclear. Magnetic resonance imaging (MRI) detected biomarkers of brain ageing include white matter hyperintensities (WMHs), a marker of cerebrovascular disease, and hippocampal volume, a marker of Alzheimer's disease pathology. Objective to examine relationships between blood pressure (BP) components and brain pathology in older adults. Subjects two hundred and twenty-seven members of the Aberdeen 1936 Birth Cohort between ages 64 and 68 years. Methods BP was assessed biennially between 64 and 68 years and brain MRI performed at 68 years. The risk factors of interest were diastolic and systolic BP and their visit-to-visit variability. Outcomes were WMH abundance and hippocampal volume. Regression models, controlling for confounding factors, examined their relationships. Results higher diastolic BP predicted increased WMH (β = 0.13, P = 0.044) and smaller hippocampi (β = -0.25, P = 0.006). In contrast, increased systolic BP predicted larger hippocampi (β = 0.22, P = 0.013). Variability of diastolic BP predicted lower hippocampal volume (β = -0.15, P = 0.033). These relationships were independent of confounding life-course risk factors. Anti-hypertensive medication did not modify these relationships, but was independently associated with increased WMH (β = 0.17, P = 0.011). Conclusion increased diastolic BP is associated with biomarkers of both cerebrovascular and Alzheimer's diseases, whereas the role of systolic BP is less clear, with evidence for a protective effect on hippocampal volume. These differing relationships emphasise the importance of considering individual BP components with regard to brain ageing and pathology. Interventions targeting diastolic hypertension and its chronic variability may provide new strategies able to slow the accumulation of these harmful pathologies.
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Affiliation(s)
- Christopher J McNeil
- Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Foresterhill, Aberdeen, UK
| | - Phyo Kyaw Myint
- AGEING: Epidemiology Group, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
- Department of Medicine for the Elderly, NHS Grampian, Aberdeen Royal Infirmary, Aberdeen, UK
| | - Anca-Larisa Sandu
- Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Foresterhill, Aberdeen, UK
| | - John F Potter
- Norwich Medical School, Norwich Research Park Cardiovascular Research Group, University of East Anglia, Norwich, UK
| | - Roger Staff
- Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Foresterhill, Aberdeen, UK
- NHS Grampian, Aberdeen Royal Infirmary, Aberdeen, UK
| | - Lawrence J Whalley
- Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Foresterhill, Aberdeen, UK
| | - Alison D Murray
- Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Foresterhill, Aberdeen, UK
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16
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Early life characteristics and late life burden of cerebral small vessel disease in the Lothian Birth Cohort 1936. Aging (Albany NY) 2017; 8:2039-2061. [PMID: 27652981 PMCID: PMC5076451 DOI: 10.18632/aging.101043] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Accepted: 09/04/2016] [Indexed: 11/25/2022]
Abstract
It is unknown whether relations between early-life factors and overall health in later life apply to burden of cerebral small vessel disease (cSVD), a major cause of stroke and dementia. We explored relations between early-life factors and cSVD in the Lothian Birth Cohort, a healthy aging cohort. Participants were recruited at age 70 (N = 1091); most had completed a test of cognitive ability at age 11 as part of the Scottish Mental Survey of 1947. Of those, 700 participants had brain MRI that could be rated for cSVD conducted at age 73. Presence of lacunes, white matter hyperintensities, microbleeds, and perivascular spaces were summed in a score of 0-4 representing all MRI cSVD features. We tested associations with early-life factors using multivariate logistic regression. Greater SVD score was significantly associated with lower age-11 IQ (OR higher SVD score per SD age-11 IQ = .78, 95%CI 0.65-.95, p=.01). The associations between SVD score and own job class (OR higher job class, .64 95%CI .43-.95, p=.03), age-11 deprivation index (OR per point deprivation score, 1.08, 95%CI 1.00-1.17, p=.04), and education (OR some qualifying education, .60 95%CI .37-.98, p=.04) trended towards significance (p<.05 for all) but did not meet thresholds for multiple testing. No early-life factor was significantly associated with any one individual score component. Early-life factors may contribute to age-73 burden of cSVD. These relations, and the potential for early social interventions to improve brain health, deserve further study.
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17
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Backhouse EV, McHutchison CA, Cvoro V, Shenkin SD, Wardlaw JM. Early life risk factors for cerebrovascular disease: A systematic review and meta-analysis. Neurology 2017; 88:976-984. [PMID: 28188307 DOI: 10.1212/wnl.0000000000003687] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Accepted: 12/14/2016] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Cerebrovascular disease (CVD) causes subclinical brain vascular lesions detected using neuroimaging and childhood factors may increase later CVD risk. METHODS We searched MEDLINE, PsycINFO, and EMBASE, and meta-analyzed all available evidence on childhood (premorbid) IQ, socioeconomic status (SES), education, and subclinical CVD in later life. Overall odds ratios (OR), mean difference or correlation, and 95% confidence intervals (CIs) were calculated using random effects methods. RESULTS We identified 30 relevant studies (n = 22,890). Lower childhood IQ and lower childhood SES were associated with more white matter hyperintensities (WMH) (IQ: n = 1,512, r = -0.07, 95% CI -0.12 to -0.02, p = 0.007; SES: n = 243, deep WMH r = -0.18, periventricular WMH r = -0.146). Fewer years of education were associated with several CVD markers (n = 15,439, OR = 1.17, 95% CI 1.05 to 1.31, p = 0.003). No studies assessed early life factors combined. CONCLUSIONS Childhood IQ, SES, and education are associated with increased risk of CVD on neuroimaging in later life. Further studies are required to provide further evidence and thereby inform policy.
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Affiliation(s)
- Ellen V Backhouse
- From the Centre for Clinical Brain Sciences (E.V.B., C.A.M., V.C., J.M.W.), Centre for Cognitive Ageing and Cognitive Epidemiology (C.A.M., V.C., S.D.S., J.M.W.), and Geriatric Medicine, Department of Clinical and Surgical Sciences (S.D.S.), University of Edinburgh; and Scottish Imaging Network (V.C., S.D.S., J.M.W.), A Platform for Scientific Excellence (SINAPSE), UK
| | - Caroline A McHutchison
- From the Centre for Clinical Brain Sciences (E.V.B., C.A.M., V.C., J.M.W.), Centre for Cognitive Ageing and Cognitive Epidemiology (C.A.M., V.C., S.D.S., J.M.W.), and Geriatric Medicine, Department of Clinical and Surgical Sciences (S.D.S.), University of Edinburgh; and Scottish Imaging Network (V.C., S.D.S., J.M.W.), A Platform for Scientific Excellence (SINAPSE), UK
| | - Vera Cvoro
- From the Centre for Clinical Brain Sciences (E.V.B., C.A.M., V.C., J.M.W.), Centre for Cognitive Ageing and Cognitive Epidemiology (C.A.M., V.C., S.D.S., J.M.W.), and Geriatric Medicine, Department of Clinical and Surgical Sciences (S.D.S.), University of Edinburgh; and Scottish Imaging Network (V.C., S.D.S., J.M.W.), A Platform for Scientific Excellence (SINAPSE), UK
| | - Susan D Shenkin
- From the Centre for Clinical Brain Sciences (E.V.B., C.A.M., V.C., J.M.W.), Centre for Cognitive Ageing and Cognitive Epidemiology (C.A.M., V.C., S.D.S., J.M.W.), and Geriatric Medicine, Department of Clinical and Surgical Sciences (S.D.S.), University of Edinburgh; and Scottish Imaging Network (V.C., S.D.S., J.M.W.), A Platform for Scientific Excellence (SINAPSE), UK
| | - Joanna M Wardlaw
- From the Centre for Clinical Brain Sciences (E.V.B., C.A.M., V.C., J.M.W.), Centre for Cognitive Ageing and Cognitive Epidemiology (C.A.M., V.C., S.D.S., J.M.W.), and Geriatric Medicine, Department of Clinical and Surgical Sciences (S.D.S.), University of Edinburgh; and Scottish Imaging Network (V.C., S.D.S., J.M.W.), A Platform for Scientific Excellence (SINAPSE), UK.
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18
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Whalley LJ, Staff RT, Fox HC, Murray AD. Cerebral correlates of cognitive reserve. Psychiatry Res Neuroimaging 2016; 247:65-70. [PMID: 26774854 DOI: 10.1016/j.pscychresns.2015.10.012] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2015] [Accepted: 10/13/2015] [Indexed: 10/22/2022]
Abstract
Cognitive reserve is a hypothetical concept introduced to explain discrepancies between severity of clinical dementia syndromes and the extent of dementia pathology. We examined cognitive reserve in a research programme that followed up a non-clinical sample born in 1921 or 1936 and IQ-tested age 11 years in 1932 or 1947. Structural MRI exams were acquired in about 50% of the sample from whom a subsample were recruited into an additional fMRI study. Here, we summarise findings from seven inter-related studies. These support an understanding of cognitive reserve as a balance between positive life course activity-driven experiences and the negative effects of brain pathologies including cerebrovascular disease and total and regional brain volume loss. Hypothesised structural equation models illustrate the relative causal effects of these positive and negative contributions. Cognitive reserve is considered in the context of choice of interventions to prevent dementia and the opposing effects of cerebrovascular disease and Alzheimer like brain appearances.
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Affiliation(s)
- Lawrence J Whalley
- Aberdeen Biomedical Imaging Centre, College of Life Sciences and Medicine, University of Aberdeen, Aberdeen AB25 2ZD, UK; Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.
| | - Roger T Staff
- Aberdeen Biomedical Imaging Centre, College of Life Sciences and Medicine, University of Aberdeen, Aberdeen AB25 2ZD, UK; NHS Grampian, Foresterhill, Aberdeen, UK
| | - Helen C Fox
- Aberdeen Biomedical Imaging Centre, College of Life Sciences and Medicine, University of Aberdeen, Aberdeen AB25 2ZD, UK
| | - Alison D Murray
- Aberdeen Biomedical Imaging Centre, College of Life Sciences and Medicine, University of Aberdeen, Aberdeen AB25 2ZD, UK
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19
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Life course socioeconomic status and the decline in information processing speed in late life. Soc Sci Med 2016; 151:130-8. [PMID: 26802369 DOI: 10.1016/j.socscimed.2016.01.019] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2015] [Revised: 01/08/2016] [Accepted: 01/11/2016] [Indexed: 11/23/2022]
Abstract
Low socio-economic status is a recognised composite measure made up of income, education and occupational social class, which is a risk factor for poor physical and mental health and late life dementia. Here, we distinguish between components of childhood socioeconomic status to explore their separate influences of childhood and adult occupational social class (OSC), childhood mental ability and education on late life cognitive ability and change trajectories. Cognitive data were collected longitudinally from a sub-sample (N = 478) of the Aberdeen 1936 birth cohort tested on up to 5 occasions between ages 63 and 78 years. Age 11 mental ability scores were available for all participants. We used longitudinal multi-level linear modelling to explore models of cognitive change that distinguished between the possible influences of parental occupation, participants' own occupation as adults, duration of formal education, childhood mental ability and the participants' own occupation. We showed that parental occupation and the participants' own occupation are independently associated with cognition in late life, but do not influence the trajectory of cognitive change. However, when models include childhood mental ability and education the influence of parental and participant occupation is no longer significant. The association in these data between parental occupation and late life cognitive variation is accounted for by childhood mental ability and duration of formal education. However, we cannot exclude the possibility that parental occupation in early life influences early life mental ability and duration of education. The trajectory of change with age is similar across all models, with none of the life course factors (education, parental and participant occupational social class and childhood ability) significantly co-varying with the trajectory of cognitive variation.
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20
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Calderón-Garcidueñas L, Leray E, Heydarpour P, Torres-Jardón R, Reis J. Air pollution, a rising environmental risk factor for cognition, neuroinflammation and neurodegeneration: The clinical impact on children and beyond. Rev Neurol (Paris) 2015; 172:69-80. [PMID: 26718591 DOI: 10.1016/j.neurol.2015.10.008] [Citation(s) in RCA: 117] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2015] [Revised: 10/27/2015] [Accepted: 10/27/2015] [Indexed: 12/12/2022]
Abstract
Air pollution (indoors and outdoors) is a major issue in public health as epidemiological studies have highlighted its numerous detrimental health consequences (notably, respiratory and cardiovascular pathological conditions). Over the past 15 years, air pollution has also been considered a potent environmental risk factor for neurological diseases and neuropathology. This review examines the impact of air pollution on children's brain development and the clinical, cognitive, brain structural and metabolic consequences. Long-term potential consequences for adults' brains and the effects on multiple sclerosis (MS) are also discussed. One challenge is to assess the effects of lifetime exposures to outdoor and indoor environmental pollutants, including occupational exposures: how much, for how long and what type. Diffuse neuroinflammation, damage to the neurovascular unit, and the production of autoantibodies to neural and tight-junction proteins are worrisome findings in children chronically exposed to concentrations above the current standards for ozone and fine particulate matter (PM2.5), and may constitute significant risk factors for the development of Alzheimer's disease later in life. Finally, data supporting the role of air pollution as a risk factor for MS are reviewed, focusing on the effects of PM10 and nitrogen oxides.
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Affiliation(s)
- L Calderón-Garcidueñas
- The University of Montana, Missoula, MT, 59812, USA; Universidad del Valle de México, Mexico City 04850, Mexico
| | - E Leray
- EHESP Sorbonne Paris Cité, Rennes, France
| | - P Heydarpour
- MS Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - R Torres-Jardón
- Centro de Ciencias de la Atmósfera, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - J Reis
- Service de Neurologie, Centre Hospitalier Universitaire, Hôpital de Hautepierre, 1, avenue Molière, 67200 Strasbourg, France.
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21
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Calderón-Garcidueñas L, Kulesza RJ, Doty RL, D'Angiulli A, Torres-Jardón R. Megacities air pollution problems: Mexico City Metropolitan Area critical issues on the central nervous system pediatric impact. ENVIRONMENTAL RESEARCH 2015; 137:157-69. [PMID: 25543546 DOI: 10.1016/j.envres.2014.12.012] [Citation(s) in RCA: 64] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2014] [Revised: 12/11/2014] [Accepted: 12/12/2014] [Indexed: 05/02/2023]
Abstract
The chronic health effects associated with sustained exposures to high concentrations of air pollutants are an important issue for millions of megacity residents and millions more living in smaller urban and rural areas. Particulate matter (PM) and ozone (O3) concentrations close or above their respective air quality standards during the last 20 years affect 24 million people living in the Mexico City Metropolitan Area (MCMA). Herein we discuss PM and O3 trends in MCMA and their possible association with the observed central nervous system (CNS) effects in clinically healthy children. We argue that prenatal and postnatal sustained exposures to a natural environmental exposure chamber contribute to detrimental neural responses. The emerging picture for MCMA children shows systemic inflammation, immunodysregulation at both systemic and brain levels, oxidative stress, neuroinflammation, small blood vessel pathology, and an intrathecal inflammatory process, along with the early neuropathological hallmarks for Alzheimer and Parkinson's diseases. Exposed brains are briskly responding to their harmful environment and setting the bases for structural and volumetric changes, cognitive, olfactory, auditory and vestibular deficits and long term neurodegenerative consequences. We need to improve our understanding of the PM pediatric short and long term CNS impact through multidisciplinary research. Public health benefit can be achieved by integrating interventions that reduce fine PM levels and pediatric exposures and establishing preventative screening programs targeting pediatric populations that are most at risk. We fully expect that the health of 24 million residents is important and blocking pediatric air pollution research and hiding critical information that ought to be available to our population, health, education and social workers is not in the best interest of our children.
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Affiliation(s)
| | - Randy J Kulesza
- Auditory Research Center, Lake Erie College of Osteopathic Medicine, Erie, PA, USA
| | - Richard L Doty
- Smell and Taste Center, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
| | - Amedeo D'Angiulli
- Department of Neuroscience, Carleton University, Ottawa, Ontario, Canada K1S 5B6
| | - Ricardo Torres-Jardón
- Centro de Ciencias de la Atmósfera, Universidad Nacional Autónoma de México, Mexico City, Mexico
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