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Howard KA, Massimo LM, Witrick B, Zhang L, Griffin SF, Ross LA, Rennert L. Investigation of risk of Alzheimer's disease diagnosis and survival based on variation to life experiences used to operationalize cognitive reserve. J Alzheimers Dis 2025; 105:147-158. [PMID: 40138441 DOI: 10.1177/13872877251326818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2025]
Abstract
BackgroundAlzheimer's disease dementia (AD) is a debilitating progressive neurodegenerative disease. Life experiences are hypothesized to build cognitive reserve (CR), a theoretical construct associated with delayed onset of AD symptoms. While CR is a key moderator of cognitive decline, operationalization of CR is varied resulting in inconsistencies within the literature.ObjectiveThis study explored the relationship between life experiences used as proxies of CR and risk of AD diagnosis and death following diagnosis.MethodsWe explored results based on 30 different published CR operationalizations, including two standardized questionnaires and an investigator-developed lifecourse indicator. Using data from the Memory and Aging Project, we applied Cox proportional hazard models to evaluate the impact of operationalization on time to outcomes.ResultsHazard ratios, indicating instantaneous risk of AD or death for a standard deviation increase in the CR proxy utilized as a predictor, ranged from 0.80-1.40 for AD diagnosis and 0.80-1.29 for death following diagnosis. Among nine predictors that showed a significant reduction in risk of AD, there was a decrease of between 12% and 20%. Two predictors were associated with reduced risk of death, with 13%-20% reduction, while three predictors were associated with 18%-22% heightened risk of death following diagnosis.ConclusionsModel results were highly sensitive to CR operationalization. Based on the variation in results, composite measures that incorporate multiple lifecourse variables may still be the most comprehensive and faithful representation of CR. Attention to methodology and refining of measurement are needed to make use of CR and promote healthy aging.
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Affiliation(s)
- Kerry A Howard
- Department of Public Health Sciences, Clemson University, Clemson, SC, USA
- Center for Public Health Modeling and Response, Clemson University, Clemson, SC, USA
| | - Lauren M Massimo
- Department of Neurology, Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
- School of Nursing, University of Pennsylvania, Philadelphia, PA, USA
| | - Brian Witrick
- Department of Public Health Sciences, Clemson University, Clemson, SC, USA
- Center for Public Health Modeling and Response, Clemson University, Clemson, SC, USA
| | - Lu Zhang
- Department of Public Health Sciences, Clemson University, Clemson, SC, USA
| | - Sarah F Griffin
- Department of Public Health Sciences, Clemson University, Clemson, SC, USA
| | - Lesley A Ross
- Department of Psychology, Clemson University, Clemson, SC, USA
- Institute for Engaged Aging, Clemson University, Seneca, SC, USA
| | - Lior Rennert
- Department of Public Health Sciences, Clemson University, Clemson, SC, USA
- Center for Public Health Modeling and Response, Clemson University, Clemson, SC, USA
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Mendis SB, Welstead M, Tan MP. A systematic review of epidemiological studies of life course socioeconomic status and adult structural brain changes. Neurosci Biobehav Rev 2025; 171:106066. [PMID: 39984008 DOI: 10.1016/j.neubiorev.2025.106066] [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: 11/30/2024] [Revised: 02/02/2025] [Accepted: 02/10/2025] [Indexed: 02/23/2025]
Abstract
INTRODUCTION Disadvantaged socioeconomic status (SES) are linked with adverse cognitive outcomes in ageing and heightened dementia risk. Few studies have examined relationships between life course SES and adult structural brain changes that may be associated with cognitive decline. AIMS This systematic review assesses evidence from neuroimaging based epidemiological studies that have explored relationships between life course SES and adult structural brain changes. METHODS Embase, PsycINFO and Medline from inception to November 2020 were systematically searched according to strict search criteria which captured studies examining relationships between life course SES and adult structural neuroimaging changes. Bibliographies and citations of relevant papers were selected. Searches were limited to English language publications. RESULTS Amongst 8134 search results, 91 unique titles were screened and 24 studies selected. All 24 studies demonstrated at least partial relationships between disadvantaged life SES and adverse structural brain changes. Selected studies utilised diverse structural imaging techniques, neuroanatomical sites and operational definitions of life course SES. The methodological approaches and statistical analysis varied significantly between studies. We specifically discuss the neurobiological interpretation of Diffusion weighted MRI based studies and MRI volumetric studies investigating associations between life course SES and adult brain structural changes and the wider global health implications of these studies. CONCLUSION Disadvantaged life course SES may have associations with structural brain changes which underlie adverse ageing outcomes. Given heterogeneity of study designs and operationalisation of SES, the cross-sectional design of studies and wide-ranging neuroimaging modalities any association should be considered with caution. Mediatory mechanisms including malnutrition, stress, markers of inflammation, hormonal changes and cognitive reserve and health behaviour are presented in selected studies. Targeting life course SES in public health-based interventions may offer approaches to maintain healthy brain structure and function in ageing.
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Affiliation(s)
- Sahan Benedict Mendis
- The University of Edinburgh, Alzheimer Scotland Dementia Research Centre, 7 George Square, Edinburgh EH8 9JZ, Scotland.
| | - Miles Welstead
- The University of Edinburgh, Alzheimer Scotland Dementia Research Centre, 7 George Square, Edinburgh EH8 9JZ, Scotland.
| | - Marcus Pj Tan
- South London and the Maudsley NHS Foundation Trust Maudsley Hospital, Denmark Hill, London, Greater London SE5 8AZ, UK.
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Yu J, Kua EH, Mahendran R, Ng TKS. ChatGPT-estimated occupational complexity predicts cognitive outcomes and cortical thickness above and beyond socioeconomic status among older adults. GeroScience 2025:10.1007/s11357-025-01570-4. [PMID: 39985637 DOI: 10.1007/s11357-025-01570-4] [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: 11/11/2024] [Accepted: 02/12/2025] [Indexed: 02/24/2025] Open
Abstract
Many aging cohort studies have collected data on participants' job titles, yet these job titles were seldom analyzed within the cognitive aging context despite their relevance to neurocognition, due to difficulties in analyzing these job titles quantitatively. While it is possible to rate these jobs' occupational complexity (OC) using job classification systems, this can be somewhat labor-intensive and prone to human errors. To this end, we demonstrate a novel and simple method to extract OC ratings from job titles using ChatGPT. Then, we showcased the utility of these ratings in predicting cognitive and structural brain outcomes, especially compared to other socioeconomic status (SES) indicators. Community-dwelling older adults (N = 238, agemean = 70) completed cognitive assessments and underwent MRI scans. Regression models were fitted to predict 14 different cognitive outcomes, vertex-wise cortical thickness (CT), and subcortical gray matter volumes, using OC scores and/or SES predictors (e.g., education, housing type, and income levels), controlling for demographical covariates. OC scores outperformed SES indicators in predicting clusters of CT increases and most cognitive outcomes, including diagnoses of mild cognitive impairment. Furthermore, OC scores significantly predicted clusters of CT increases and various cognitive outcomes, even after controlling for SES. Meta-analytic decoding suggests these clusters of CT increases occurred in regions typically associated with sensorimotor and memory processing. These results highlight the significant and unique contribution of ChatGPT-derived OC scores in predicting cognitive and brain aging outcomes. These scores are easy to derive and can be helpful in fine-tuning predictions of cognitive and brain aging outcomes.
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Affiliation(s)
- Junhong Yu
- Psychology, School of Social Sciences, Nanyang Technological University, 48 Nanyang Avenue, Singapore, 639798, Singapore.
| | - Ee-Heok Kua
- Yeo Boon Kim Mind Science Center, Department of Psychological Medicine, National University of Singapore, Singapore, 119228, Singapore
- Mind Care Clinic, Farrer Park Medical Center, Singapore, 217562, Singapore
| | - Rathi Mahendran
- Yeo Boon Kim Mind Science Center, Department of Psychological Medicine, National University of Singapore, Singapore, 119228, Singapore
- Mind Care Clinic, Farrer Park Medical Center, Singapore, 217562, Singapore
| | - Ted Kheng Siang Ng
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
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Sheftel MG, Goldman N, Pebley AR, Pratt B, Park SS. Cognitive Health Disparities by Race and Ethnicity: The Role of Occupational Complexity and Occupational Status. WORK, AGING AND RETIREMENT 2025; 11:64-78. [PMID: 39669958 PMCID: PMC11634187 DOI: 10.1093/workar/waad023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2024]
Abstract
Disparities in older age cognitive health by race/ethnicity persist even after controlling for individual-level indicators of childhood and adult socioeconomic status. High levels of labor market segregation mean that Black and Latino workers, on average, may not have the same exposure to jobs involving complex work with data and people as their White counterparts, aspects of work that appear to be protective of older adult cognition. However, the role of variation in exposure to occupational complexity by race/ethnicity remains understudied as an explanation for cognitive disparities at older ages. This paper uses detailed work histories constructed from the Health and Retirement Study (HRS) Occupation and Industry life history data to understand the role of occupational complexity in the development of dementia at older ages. It also addresses a conjecture that complexity reflects occupational status. Findings highlight that: (a) occupations involving complex work with data during working ages may be protective against dementia at older ages, potentially contributing to the differentials in dementia prevalence for Black, Latino, and White workers, and (b) occupational complexity reflects occupational status. This research increases understanding of the implications of labor market segregation for cognitive health disparities by race/ethnicity.
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Affiliation(s)
- Mara Getz Sheftel
- Population Research Institute, Penn State University, State College, PA, United States
| | - Noreen Goldman
- Princeton School of Public and International Affairs, Princeton University, Princeton, NJ, United States
- Office of Population Research, Princeton University, Princeton, NJ, United States
| | - Anne R Pebley
- California Center for Population Research and Fielding School of Public Health, UCLA, Los Angeles, CA, United States
| | - Boriana Pratt
- Office of Population Research, Princeton University, Princeton, NJ, United States
| | - Sung S Park
- Department of Gerontology, University of Massachusetts Boston, Boston, MA, United States
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Li Y, Zhuang Z, Si H, Liu Q, Yu J, Zhou W, Huang T, Wang C. Causal Associations of Cognitive Reserve and Hierarchical Aging-Related Outcomes: A Two-Sample Mendelian Randomization Study. Biol Res Nurs 2025; 27:5-16. [PMID: 39154286 DOI: 10.1177/10998004241274271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/19/2024]
Abstract
PURPOSE Two-sample Mendelian randomization methods were used to explore the causal effects of cognitive reserve proxies, such as educational attainment, occupational attainment, and physical activity (PA), on biological (leukocyte telomere length), phenotypic (sarcopenia-related features), and functional (frailty index and cognitive performance) aging levels. RESULTS Educational attainment had a potential protective effect on the telomere length (β = 0.10, 95% CI: 0.08-0.11), sarcopenia-related features (β = 0.04-0.24, 95% CI: 0.02-0.27), frailty risk (β = -0.31, 95% CI: -0.33 to -0.28), cognitive performance (β = 0.77, 95% CI: 0.75-0.80). Occupational attainment was causally related with sarcopenia-related features (β = 0.07-0.10, 95% CI: 0.05-0.14), and cognitive performance (β = 0.30, 95% CI: 0.24-0.36). Device-measured PA was potentially associated with one sarcopenia-related feature (β = 0.14, 95% CI: 0.03-0.25). CONCLUSIONS Our findings support the potential causality of educational attainment on biological, phenotypic, and functional aging outcomes, of occupational attainment on phenotypic and functional aging-related outcomes, and of PA on phenotypic aging-related outcomes.
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Affiliation(s)
- Yanyan Li
- Department of Basic Nursing, School of Nursing, Peking University, Beijing, China
| | - Zhenhuang Zhuang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Huaxin Si
- Department of Basic Nursing, School of Nursing, Peking University, Beijing, China
| | - Qinqin Liu
- Department of Basic Nursing, School of Nursing, Peking University, Beijing, China
| | - Jiaqi Yu
- Department of Basic Nursing, School of Nursing, Peking University, Beijing, China
| | - Wendie Zhou
- Department of Basic Nursing, School of Nursing, Peking University, Beijing, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Center for Intelligent Public Health, Academy for Artificial Intelligence, Peking University, Beijing, China
- Ministry of Education, Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Beijing, China
| | - Cuili Wang
- Department of Basic Nursing, School of Nursing, Peking University, Beijing, China
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Wang D, Li X, Dang M, Zhao S, Sang F, Zhang Z. Frontotemporal structure preservation underlies the protective effect of lifetime intellectual cognitive reserve on cognition in the elderly. Alzheimers Res Ther 2024; 16:255. [PMID: 39580450 PMCID: PMC11585141 DOI: 10.1186/s13195-024-01613-6] [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: 09/11/2024] [Accepted: 10/30/2024] [Indexed: 11/25/2024]
Abstract
BACKGROUND Cognitive decline with age has heterogeneous, which might be related to the accumulation of protective factors called cognitive reserve, especially intellectual engagement factors over the life course. However, how lifetime intellectual cognitive reserve (LICR) protects cognitive function in the elderly remains unclear. We aimed to examine the relationship between LICR and cognition and the mild cognitive impairment (MCI) risk, as well as the neural mechanism of LICR on cognition. METHODS A total of 5126 participants completed extensive neuropsychological tests, with LICR indicator encompassing early education, midlife occupational complexity, and mental leisure activities after retirement. Confirmatory factor analysis was performed to derive LICR score and cognitive function scores, then the hierarchical regression analysis was used to explore the relationship between LICR and cognitive functions and the risk of MCI. We further explored the macro- and micro-structural preservation underly LICR in 1117 participants. Multiple regressions and tract-based spatial statistics were used to explore the relationship between LICR and gray matter volume and white matter microstructure (FA value). Finally, using the mediation model to explore the relationship of "LICR-brain-cognition". RESULT The new LICR index, which was more protective than its single indexes, could protect widespread cognitive functions and was associated with a reduction in MCI risk (Odds Ratio, 0.52; 95% CI, 0.47-0.57). For the structure basis of LICR, the higher LICR score was associated with the greater gray matter volume in right fusiform gyrus (t = 4.62, FDR corrected, p < 0.05) and left orbital superior frontal gyrus (t = 4.56, FDR corrected, p < 0.05), and the higher FA values in the frontotemporal related white matter fiber tracts. Furthermore, the right fusiform gyrus partially mediated the relationship between LICR and executive processing ability (β = 0.01, p = 0.02) and general cognitive ability (β = 0.01, p = 0.03). CONCLUSIONS The new comprehensive cognitive reserve index could promote the temporal macro-structural preservation and thus contribute to maintain better cognitive function. These findings highlight the importance of intellectual CR accumulation over the life course in successful cognitive aging and MCI prevention, thereby contributing to improve the quality of life in the elderly.
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Affiliation(s)
- Dandan Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- Faculty of Education, Beijing Normal University, Beijing, 100875, China
- Beijing Aging Brain Rejuvenation Initiative (BABRI) Center, Beijing Normal University, Beijing, 100875, China
| | - Xin Li
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- Beijing Aging Brain Rejuvenation Initiative (BABRI) Center, Beijing Normal University, Beijing, 100875, China
| | - Mingxi Dang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- Beijing Aging Brain Rejuvenation Initiative (BABRI) Center, Beijing Normal University, Beijing, 100875, China
| | - Shaokun Zhao
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- Beijing Aging Brain Rejuvenation Initiative (BABRI) Center, Beijing Normal University, Beijing, 100875, China
| | - Feng Sang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- Beijing Aging Brain Rejuvenation Initiative (BABRI) Center, Beijing Normal University, Beijing, 100875, China
| | - Zhanjun Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China.
- Beijing Aging Brain Rejuvenation Initiative (BABRI) Center, Beijing Normal University, Beijing, 100875, China.
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Howard KA, Massimo L, Griffin SF, Gagnon RJ, Zhang L, Rennert L. Systematic examination of methodological inconsistency in operationalizing cognitive reserve and its impact on identifying predictors of late-life cognition. BMC Geriatr 2023; 23:547. [PMID: 37684556 PMCID: PMC10492336 DOI: 10.1186/s12877-023-04263-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 08/29/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND Cognitive reserve (CR) is the ability to maintain cognitive performance despite brain pathology. CR is built through lifecourse experiences (e.g., education) and is a key construct in promoting healthy aging. However, the operationalization of CR and its estimated association with late-life cognition varies. The purpose of this study was to systematically examine the operationalization of CR and the relationship between its operationalization and late-life cognition. METHODS We performed a comprehensive review of experiences (proxies) used to operationalize CR. The review informed quantitative analyses using data from 1366 participants of the Memory and Aging Project to examine 1) relationships between proxies and 2) the relationship between operationalization and late-life cognition. We also conducted a factor analysis with all identified CR experiences to create a composite lifecourse CR score. Generalized linear mixed models examined the relationship between operationalizations and global cognition, with secondary outcomes of five domains of cognition to examine consistency. RESULTS Based on a review of 753 articles, we found the majority (92.3%) of the 28 commonly used proxies have weak to no correlation between one another. There was substantial variability in the association between operationalizations and late-life global cognition (median effect size: 0.99, IQR: 0.34 to 1.39). There was not strong consistency in the association between CR operationalizations and the five cognitive domains (mean consistency: 56.1%). The average estimate for the 28 operationalizations was 0.91 (SE = 0.48), compared to 2.48 (SE = 0.40) for the lifecourse score and it was associated with all five domains of cognition. CONCLUSIONS Inconsistent methodology is theorized as a major limitation of CR research and barrier to identification of impactful experiences for healthy cognitive aging. Based on the weak associations, it is not surprising that the relationship between CR and late-life cognition is dependent on the experience used to operationalize CR. Scores using multiple experiences across the lifecourse may help overcome such limitations. Adherence to a lifecourse approach and collaborative movement towards a consensus operationalization of CR are imperative shifts in the study of CR that can better inform research on risk factors related to cognitive decline and ultimately aid in the promotion of healthy aging.
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Affiliation(s)
- Kerry A Howard
- Department of Public Health Sciences, Clemson University, Clemson, SC, 29634, USA.
- Center for Public Health Modeling and Response, Clemson University, Clemson, SC, 29634, USA.
| | - Lauren Massimo
- Department of Neurology, Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
- School of Nursing, University of Pennsylvania, Philadelphia, PA, USA
| | - Sarah F Griffin
- Department of Public Health Sciences, Clemson University, Clemson, SC, 29634, USA
| | - Ryan J Gagnon
- Department of Parks, Recreation and Tourism Management, Clemson University, Clemson, SC, USA
| | - Lu Zhang
- Department of Public Health Sciences, Clemson University, Clemson, SC, 29634, USA
| | - Lior Rennert
- Department of Public Health Sciences, Clemson University, Clemson, SC, 29634, USA.
- Center for Public Health Modeling and Response, Clemson University, Clemson, SC, 29634, USA.
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Sale A, Noale M, Cintoli S, Tognoni G, Braschi C, Berardi N, Maggi S, Maffei L. Long-term beneficial impact of the randomised trial 'Train the Brain', a motor/cognitive intervention in mild cognitive impairment people: effects at the 14-month follow-up. Age Ageing 2023; 52:7160021. [PMID: 37167616 DOI: 10.1093/ageing/afad067] [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] [Received: 06/28/2022] [Revised: 01/23/2023] [Indexed: 05/13/2023] Open
Abstract
No treatment options are currently available to counteract cognitive deficits and/or delay progression towards dementia in older people with mild cognitive impairment (MCI). The 'Train the Brain' programme is a combined motor and cognitive intervention previously shown to markedly improve cognitive functions in MCI individuals compared to non-trained MCI controls, as assessed at the end of the 7-month intervention. Here, we extended the previous analyses to include the long-term effects of the intervention and performed a data disaggregation by gender, education and age of the enrolled participants. We report that the beneficial impact on cognitive functions was preserved at the 14-month follow-up, with greater effects in low-educated compared to high-educated individuals, and in women than in men.
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Affiliation(s)
- Alessandro Sale
- Neuroscience Institute CNR (National Research Council), Via Moruzzi 1, Pisa 56124, Italy
| | - Marianna Noale
- Neuroscience Institute CNR (National Research Council), Via Giustiniani 2, Padua 35128, Italy
| | - Simona Cintoli
- Department of Clinical and Experimental Medicine-Neurology Unit, University of Pisa and AOU Pisa, Pisa, Italy
| | - Gloria Tognoni
- Department of Clinical and Experimental Medicine-Neurology Unit, University of Pisa and AOU Pisa, Pisa, Italy
| | - Chiara Braschi
- Neuroscience Institute CNR (National Research Council), Via Moruzzi 1, Pisa 56124, Italy
| | - Nicoletta Berardi
- Neuroscience Institute CNR (National Research Council), Via Moruzzi 1, Pisa 56124, Italy
- Department of Neuroscience, Psychology, Drug Research and Child Health, Florence University, Via San Salvi, Florence 50100, Italy
| | - Stefania Maggi
- Neuroscience Institute CNR (National Research Council), Via Giustiniani 2, Padua 35128, Italy
| | - Lamberto Maffei
- Neuroscience Institute CNR (National Research Council), Via Moruzzi 1, Pisa 56124, Italy
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de Resende EDPF, Xia F, Sidney S, Launer LJ, Schreiner PJ, Erus G, Bryan N, Yaffe K. Higher literacy is associated with better white matter integrity and cognition in middle age. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12363. [PMID: 36514538 PMCID: PMC9732896 DOI: 10.1002/dad2.12363] [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: 06/14/2022] [Revised: 08/29/2022] [Accepted: 09/16/2022] [Indexed: 12/13/2022]
Abstract
Introduction Literacy can be a better measure of quality of education. Its association with brain health in midlife has not been thoroughly investigated. Methods We studied, cross-sectionally, 616 middle-aged adults (mean age of 55.1 ± 3.6 years, 53% female and 38% Black) from the Coronary Artery Risk Development in Young Adults (CARDIA) study. We correlated literacy with cognitive tests, gray matter volumes, and fractional anisotropy (FA) values (indirect measures of white matter integrity) using linear regression. Results The higher-literacy group (n = 499) performed better than the low-literacy group (n = 117) on all cognitive tests. There was no association between literacy and gray matter volumes. The higher-literacy group had greater total-brain FA and higher temporal, parietal, and occipital FA values after multivariable adjustments. Discussion Higher literacy is associated with higher white matter integrity as well as with better cognitive performance in middle-aged adults. These results highlight the importance of focusing on midlife interventions to improve literacy skills.
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Affiliation(s)
| | - Feng Xia
- Northern California Institute for ResearchSan FranciscoCaliforniaUSA
| | - Stephen Sidney
- Kaiser Permanente Division of ResearchOaklandCaliforniaUSA
| | | | - Pamela J. Schreiner
- Division of Epidemiology and Community HealthUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Guray Erus
- Department of RadiologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Nick Bryan
- Department of RadiologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Kristine Yaffe
- Global Brain Health InstituteSan Francisco and DublinUSA and Ireland
- Northern California Institute for ResearchSan FranciscoCaliforniaUSA
- Departments of PsychiatryNeurology, and Epidemiology and BiostatisticsUniversity of California San FranciscoSan FranciscoCaliforniaUSA
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Kleineidam L, Wolfsgruber S, Weyrauch AS, Zulka LE, Forstmeier S, Roeske S, van den Bussche H, Kaduszkiewicz H, Wiese B, Weyerer S, Werle J, Fuchs A, Pentzek M, Brettschneider C, König HH, Weeg D, Bickel H, Luppa M, Rodriguez FS, Freiesleben SD, Erdogan S, Unterfeld C, Peters O, Spruth EJ, Altenstein S, Lohse A, Priller J, Fliessbach K, Kobeleva X, Schneider A, Bartels C, Schott BH, Wiltfang J, Maier F, Glanz W, Incesoy EI, Butryn M, Düzel E, Buerger K, Janowitz D, Ewers M, Rauchmann BS, Perneczky R, Kilimann I, Görß D, Teipel S, Laske C, Munk MHJ, Spottke A, Roy N, Brosseron F, Heneka MT, Ramirez A, Yakupov R, Scherer M, Maier W, Jessen F, Riedel-Heller SG, Wagner M. Midlife occupational cognitive requirements protect cognitive function in old age by increasing cognitive reserve. Front Psychol 2022; 13:957308. [PMID: 36571008 PMCID: PMC9773841 DOI: 10.3389/fpsyg.2022.957308] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 11/07/2022] [Indexed: 12/13/2022] Open
Abstract
Introduction Several lifestyle factors promote protection against Alzheimer's disease (AD) throughout a person's lifespan. Although such protective effects have been described for occupational cognitive requirements (OCR) in midlife, it is currently unknown whether they are conveyed by brain maintenance (BM), brain reserve (BR), or cognitive reserve (CR) or a combination of them. Methods We systematically derived hypotheses for these resilience concepts and tested them in the population-based AgeCoDe cohort and memory clinic-based AD high-risk DELCODE study. The OCR score (OCRS) was measured using job activities based on the O*NET occupational classification system. Four sets of analyses were conducted: (1) the interaction of OCR and APOE-ε4 with regard to cognitive decline (N = 2,369, AgeCoDe), (2) association with differentially shaped retrospective trajectories before the onset of dementia of the Alzheimer's type (DAT; N = 474, AgeCoDe), (3) cross-sectional interaction of the OCR and cerebrospinal fluid (CSF) AD biomarkers and brain structural measures regarding memory function (N = 873, DELCODE), and (4) cross-sectional and longitudinal association of OCR with CSF AD biomarkers and brain structural measures (N = 873, DELCODE). Results Regarding (1), higher OCRS was associated with a reduced association of APOE-ε4 with cognitive decline (mean follow-up = 6.03 years), consistent with CR and BR. Regarding (2), high OCRS was associated with a later onset but subsequently stronger cognitive decline in individuals converting to DAT, consistent with CR. Regarding (3), higher OCRS was associated with a weaker association of the CSF Aβ42/40 ratio and hippocampal volume with memory function, consistent with CR. Regarding (4), OCR was not associated with the levels or changes in CSF AD biomarkers (mean follow-up = 2.61 years). We found a cross-sectional, age-independent association of OCRS with some MRI markers, but no association with 1-year-change. OCR was not associated with the intracranial volume. These results are not completely consistent with those of BR or BM. Discussion Our results support the link between OCR and CR. Promoting and seeking complex and stimulating work conditions in midlife could therefore contribute to increased resistance to pathologies in old age and might complement prevention measures aimed at reducing pathology.
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Affiliation(s)
- Luca Kleineidam
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany,*Correspondence: Luca Kleineidam
| | | | - Anne-Sophie Weyrauch
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Linn E. Zulka
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany,Department of Psychology and Centre for Ageing and Health (AgeCap), University of Gothenburg, Gothenburg, Sweden
| | - Simon Forstmeier
- Developmental Psychology and Clinical Psychology of the Lifespan, University of Siegen, Siegen, Germany
| | - Sandra Roeske
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Hendrik van den Bussche
- Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hanna Kaduszkiewicz
- Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany,Medical Faculty, Institute of General Practice, University of Kiel, Kiel, Germany
| | - Birgitt Wiese
- Center for Information Management, Hannover Medical School, Hanover, Germany
| | - Siegfried Weyerer
- Medical Faculty, Central Institute of Mental Health, Mannheim/Heidelberg University, Heidelberg, Germany
| | - Jochen Werle
- Medical Faculty, Central Institute of Mental Health, Mannheim/Heidelberg University, Heidelberg, Germany
| | - Angela Fuchs
- Medical Faculty, Centre for Health and Society (CHS), Institute of General Practice (ifam), Heinrich Heine University, Düsseldorf, Germany
| | - Michael Pentzek
- Medical Faculty, Centre for Health and Society (CHS), Institute of General Practice (ifam), Heinrich Heine University, Düsseldorf, Germany
| | - Christian Brettschneider
- Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hans-Helmut König
- Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Dagmar Weeg
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
| | - Horst Bickel
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
| | - Melanie Luppa
- Medical Faculty, Institute of Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Leipzig, Germany
| | - Francisca S. Rodriguez
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany,Medical Faculty, Institute of Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Leipzig, Germany
| | - Silka Dawn Freiesleben
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany,Department of Psychiatry, Campus Berlin-Buch, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Berlin, Germany,Memory Clinic and Dementia Prevention Center, Experimental and Clinical Research Center (ECRC), Berlin, Germany
| | - Selin Erdogan
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany,Department of Psychiatry, Campus Berlin-Buch, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Berlin, Germany,Memory Clinic and Dementia Prevention Center, Experimental and Clinical Research Center (ECRC), Berlin, Germany
| | - Chantal Unterfeld
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany,Department of Psychiatry, Campus Benjamin Franklin, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Berlin, Germany
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany,Department of Psychiatry, Campus Berlin-Buch, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Berlin, Germany,Memory Clinic and Dementia Prevention Center, Experimental and Clinical Research Center (ECRC), Berlin, Germany
| | - Eike J. Spruth
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany,Department of Psychiatry and Psychotherapy, Charité—Universitätsmedizin Berlin, Berlin, Germany
| | - Slawek Altenstein
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany,Department of Psychiatry and Psychotherapy, Charité—Universitätsmedizin Berlin, Berlin, Germany
| | - Andrea Lohse
- Department of Psychiatry and Psychotherapy, Charité—Universitätsmedizin Berlin, Berlin, Germany
| | - Josef Priller
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany,German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany,Department of Psychiatry and Psychotherapy, Charité—Universitätsmedizin Berlin, Berlin, Germany,University of Edinburgh and UK DRI, Edinburgh, United Kingdom
| | - Klaus Fliessbach
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Xenia Kobeleva
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Anja Schneider
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Claudia Bartels
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Goettingen, Germany
| | - Björn H. Schott
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Goettingen, Germany,German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany,Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Goettingen, Germany,German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany,Department of Medical Sciences, Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), University of Aveiro, Aveiro, Portugal
| | - Franziska Maier
- Department of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany
| | - Wenzel Glanz
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Enise I. Incesoy
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany,Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
| | - Michaela Butryn
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany,Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
| | - Katharina Buerger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany,Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Michael Ewers
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany,Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Boris-Stephan Rauchmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany,Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany,Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, London, United Kingdom,Sheeld Institute for Translational Neuroscience (SITraN), University of Sheeld, Sheeld, United Kingdom
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany,Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Doreen Görß
- Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany,Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany,Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Matthias H. J. Munk
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany,Department of Biology, Technische Universität Darmstadt, Darmstadt, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany,Department of Neurology, University of Bonn, Bonn, Germany
| | - Nina Roy
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | | | - Michael T. Heneka
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Alfredo Ramirez
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany,Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany,Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany,Department of Psychiatry and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX, United States
| | - Renat Yakupov
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Martin Scherer
- Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Wolfgang Maier
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany,Department of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany,Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Steffi G. Riedel-Heller
- Medical Faculty, Institute of Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Leipzig, Germany
| | - Michael Wagner
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
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11
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Rydström A, Darin-Mattsson A, Kåreholt I, Ngandu T, Lehtisalo J, Solomon A, Antikainen R, Bäckman L, Hänninen T, Laatikainen T, Levälahti E, Lindström J, Paajanen T, Havulinna S, Peltonen M, Sindi S, Soininen H, Neely AS, Strandberg T, Tuomilehto J, Kivipelto M, Mangialasche F. Occupational complexity and cognition in the FINGER multidomain intervention trial. Alzheimers Dement 2022; 18:2438-2447. [PMID: 35142055 DOI: 10.1002/alz.12561] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 09/21/2021] [Accepted: 12/03/2021] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Lifetime exposure to occupational complexity is linked to late-life cognition, and may affect benefits of preventive interventions. METHODS In the 2-year multidomain Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER), we investigated, through post hoc analyses (N = 1026), the association of occupational complexity with cognition. Occupational complexity with data, people, and substantive complexity were classified through the Dictionary of Occupational Titles. RESULTS Higher levels of occupational complexity were associated with better baseline cognition. Measures of occupational complexity had no association with intervention effects on cognition, except for occupational complexity with data, which was associated with the degree of intervention-related gains for executive function. DISCUSSION In older adults at increased risk for dementia, higher occupational complexity is associated with better cognition. The cognitive benefit of the FINGER intervention did not vary significantly among participants with different levels of occupational complexity. These exploratory findings require further testing in larger studies.
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Affiliation(s)
- Anders Rydström
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,Aging Research Center, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Alexander Darin-Mattsson
- Aging Research Center, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Ingemar Kåreholt
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,Aging Research Center, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Institute of Gerontology, School of Health and Welfare, Aging Research Network - Jönköping (ARN-J), Jönköping University, Jönköping, Sweden
| | - Tiia Ngandu
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,Department of Public Health Solutions, Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Jenni Lehtisalo
- Department of Public Health Solutions, Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland.,Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Alina Solomon
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK
| | - Riitta Antikainen
- Center for Life Course Health Research/Geriatrics, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, Oulu University Hospital and Oulu City Hospital, Oulu, Finland
| | - Lars Bäckman
- Aging Research Center, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Tuomo Hänninen
- Neurocenter/Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Tiina Laatikainen
- Department of Public Health Solutions, Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland.,Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.,Hospital District of North Karelia, Joensuu, Finland
| | - Esko Levälahti
- Department of Public Health Solutions, Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Jaana Lindström
- Department of Public Health Solutions, Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Teemu Paajanen
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Satu Havulinna
- Department of Welfare; Ageing, Disability and Functioning Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Markku Peltonen
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,Department of Public Health Solutions, Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Shireen Sindi
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK
| | - Hilkka Soininen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Neurocenter/Neurology, Kuopio University Hospital, Kuopio, Finland
| | | | - Timo Strandberg
- Center for Life Course Health Research/Geriatrics, University of Oulu, Oulu, Finland.,University of Helsinki, Clinicum, and Helsinki University Hospital, Helsinki, Finland
| | - Jaakko Tuomilehto
- Department of Public Health Solutions, Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland.,South Ostrobothnia Central Hospital, Seinäjoki, Finland.,Department of Public Health, University of Helsinki, Helsinki, Finland.,Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK.,Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.,Theme Aging, Karolinska University Hospital, Stockholm, Sweden
| | - Francesca Mangialasche
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,Aging Research Center, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
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12
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Soldan A, Alfini A, Pettigrew C, Faria A, Hou X, Lim C, Lu H, Spira AP, Zipunnikov V, Albert M. Actigraphy-estimated physical activity is associated with functional and structural brain connectivity among older adults. Neurobiol Aging 2022; 116:32-40. [PMID: 35551019 PMCID: PMC10167793 DOI: 10.1016/j.neurobiolaging.2022.04.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 02/04/2022] [Accepted: 04/09/2022] [Indexed: 12/20/2022]
Abstract
Higher physical activity levels are associated with reduced cognitive decline among older adults; however, current understanding of underlying brain mechanisms is limited. This cross-sectional study investigated the relationship between actigraphy-estimated total volume of physical activity (TVPA) and magnetic resonance imaging (MRI) measures of white matter hyperintensities (WMH), and functional and structural brain connectivity, measured by resting-state functional MRI and diffusion tensor imaging. Study participants (N = 156, mean age = 71 years) included 136 with normal cognition and 20 with Mild Cognitive Impairment. Higher TVPA was associated with greater functional connectivity within the default-mode network and greater network modularity (a measure of network specialization), as well as with greater anisotropy and lower radial diffusion in white matter, suggesting better structural connectivity. These associations with functional and structural connectivity were independent of one another and independent of the level of vascular risk, APOE-ε4 status, cognitive reserve, and WMH volume, which were not associated with TVPA. Findings suggest that physical activity is beneficial for brain connectivity among older individuals with varying levels of risk for cognitive decline.
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Affiliation(s)
- Anja Soldan
- Division of Cognitive Neuroscience, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
| | - Alfonso Alfini
- National Center on Sleep Disorders Research, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, USA
| | - Corinne Pettigrew
- Division of Cognitive Neuroscience, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Andreia Faria
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Xirui Hou
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Chantelle Lim
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hanzhang Lu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Adam P Spira
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Vadim Zipunnikov
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Marilyn Albert
- Division of Cognitive Neuroscience, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
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13
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Brichko R, Soldan A, Zhu Y, Wang MC, Faria A, Albert M, Pettigrew C. Age-Dependent Association Between Cognitive Reserve Proxy and Longitudinal White Matter Microstructure in Older Adults. Front Psychol 2022; 13:859826. [PMID: 35756247 PMCID: PMC9226781 DOI: 10.3389/fpsyg.2022.859826] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 05/12/2022] [Indexed: 01/26/2023] Open
Abstract
Objective This study examined the association of lifetime experiences, measured by a cognitive reserve (CR) composite score composed of years of education, literacy, and vocabulary measures, to level and rate of change in white matter microstructure, as assessed by diffusion tensor imaging (DTI) measures. We also examined whether the relationship between the proxy CR composite score and white matter microstructure was modified by participant age, APOE-ε4 genetic status, and level of vascular risk. Methods A sample of 192 non-demented (n = 166 cognitively normal, n = 26 mild cognitive impairment) older adults [mean age = 70.17 (SD = 8.5) years] from the BIOCARD study underwent longitudinal DTI (mean follow-up = 2.5 years, max = 4.7 years). White matter microstructure was quantified by fractional anisotropy (FA) and radial diffusivity (RD) values in global white matter tracts and medial temporal lobe (MTL) white matter tracts. Results Using longitudinal linear mixed effect models, we found that FA decreased over time and RD increased over time in both the global and MTL DTI composites, but the rate of change in these DTI measures was not related to level of CR. However, there were significant interactions between the CR composite score and age for global RD in the full sample, and for global FA, global RD, and MTL RD among those with normal cognition. These interactions indicated that among participants with a lower baseline age, higher CR composite scores were associated with higher FA and lower RD values, while among participants with higher age at baseline, higher CR composite scores were associated with lower FA and higher RD values. Furthermore, these relationships were not modified by APOE-ε4 genotype or level of vascular risk. Conclusion The association between level of CR and DTI measures differs by age, suggesting a possible neuroprotective effect of CR among late middle-aged adults that shifts to a compensatory effect among older adults.
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Affiliation(s)
- Rostislav Brichko
- Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Anja Soldan
- Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Yuxin Zhu
- Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Mei-Cheng Wang
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Andreia Faria
- Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Marilyn Albert
- Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Corinne Pettigrew
- Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, United States,*Correspondence: Corinne Pettigrew,
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14
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Gonzales E, Whetung C, Lee YJ, Kruchten R. Work Demands and Cognitive Health Inequities by Race and Ethnicity: A Scoping Review. THE GERONTOLOGIST 2022; 62:e282-e292. [PMID: 35183065 DOI: 10.1093/geront/gnac025] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Indexed: 01/31/2025] Open
Abstract
BACKGROUND AND OBJECTIVES This scoping review aimed to chart the scientific literature on the association between workplace demands with cognitive health, and whether race and ethnicity have a direct or indirect relationship between occupational complexity and cognitive health. RESEARCH DESIGN AND METHODS PRISMA scoping review guided this study. Peer-reviewed articles were drawn from 5 databases. Inclusion criteria were populations aged 18 and older, U.S.-based studies, a comprehensive conceptualization of workplace demands, and cognitive health outcomes. All articles were screened by title and abstract; qualifying articles proceeded to full-text review. RESULTS The majority of studies drew from theories that did not interrogate heterogeneity and minority aging experiences. Consequently, the majority of studies did not include race and ethnicity in their analyses. A small and growing body of research drew from critical perspectives and interrogated cognitive health inequities by race and ethnicity within the context of workplace demands. The association between workplace demands and cognitive health is not linear when race and ethnicity are examined. Emerging evidence suggests interventions to improve substantive complexity among racial and ethnic minorities, and individuals with low education are a promising avenue for intervention research. DISCUSSION AND IMPLICATIONS We discuss integrating emerging theories, such as minority stress and revised social determinants of health frameworks, to sharpen the focus and broaden our understanding on racial and ethnic cognitive health inequities in an emerging area of prevention research. This research can advance our basic understanding of preventable health inequities as well as provide important information for interventions.
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Affiliation(s)
- Ernest Gonzales
- The Center for Health and Aging Innovation, New York University Silver School of Social Work, New York, New York, USA
| | - Cliff Whetung
- The Center for Health and Aging Innovation, New York University Silver School of Social Work, New York, New York, USA
| | - Yeonjung Jane Lee
- Thompson School of Social Work & Public Health, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA
| | - Rachel Kruchten
- The Center for Health and Aging Innovation, New York University Silver School of Social Work, New York, New York, USA
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15
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Fingerhut H, Gozdas E, Hosseini SH. Quantitative MRI Evidence for Cognitive Reserve in Healthy Elders and Prodromal Alzheimer's Disease. J Alzheimers Dis 2022; 89:849-863. [PMID: 35964179 PMCID: PMC9928487 DOI: 10.3233/jad-220197] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND Cognitive reserve (CR) has been postulated to contribute to the variation observed between neuropathology and clinical outcomes in Alzheimer's disease (AD). OBJECTIVE We investigated the effect of an education-occupation derived CR proxy on biological properties of white matter tracts in patients with amnestic mild cognitive impairment (aMCI) and healthy elders (HC). METHODS Educational attainment and occupational complexity ratings (complexity with data, people, and things) from thirty-five patients with aMCI and twenty-eight HC were used to generate composite CR scores. Quantitative magnetic resonance imaging (qMRI) and multi-shell diffusion MRI were used to extract macromolecular tissue volume (MTV) across major white matter tracts. RESULTS We observed significant differences in the association between CR and white matter tract MTV in aMCI versus HC when age, gender, intracranial volume, and memory ability were held constant. Particularly, in aMCI, higher CR was associated with worse tract pathology (lower MTV) in the left and right dorsal cingulum, callosum forceps major, right inferior fronto-occipital fasciculus, and right superior longitudinal fasciculus (SLF) tracts. Conversely higher CR was associated with higher MTV in the right parahippocampal cingulum and left SLF in HC. CONCLUSION Our results support compensatory CR mechanisms in aMCI and neuroprotective mechanisms in HC and suggest differential roles for CR on white matter macromolecular properties in healthy elders versus prodromal AD patients.
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Affiliation(s)
| | | | - S.M. Hadi Hosseini
- Correspondence to: S.M. Hadi Hosseini, Department of Psychiatry and Behavioral Sciences, C-BRAIN Lab, 401 Quarry Rd., Stanford, CA 94305-5795, USA. Tel.: +1 650 723 5798;
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16
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Lee YJ, Gonzales E, Andel R. Multifaceted Demands of Work and Their Associations with Cognitive Functioning: Findings From the Health and Retirement Study. J Gerontol B Psychol Sci Soc Sci 2021; 77:351-361. [PMID: 33979436 DOI: 10.1093/geronb/gbab087] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES The present study examines the associations among mental, social, and physical demands of work with cognitive functioning among older adults in the United States. METHODS Data from 3,176 respondents in the Health and Retirement Study were analyzed using growth curve modeling (2004-2014). The study investigated differences by gender, race, ethnicity, and education. RESULTS Higher mental and social demands of work were associated with higher levels of initial cognitive functioning, but not significantly associated with slower cognitive decline over time. Physical demands of work were negatively associated with initial cognitive functioning and also marginally associated with a slower rate of decline in cognitive functioning going into older adulthood. In stratified analyses, results varied by sociodemographic characteristics. DISCUSSION The results partially support the environmental complexity hypothesis and the productive aging framework in that higher mental and social demands and lower physical demands relate to better cognitive functioning at baseline, with the differences appearing stable throughout older adulthood. The stratified results shed light on addressing disparities in cognitive aging and work environments.
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Affiliation(s)
- Yeonjung Jane Lee
- University of Hawai'i at Mānoa, Thompson School of Social Work & Public Health, HI
| | | | - Ross Andel
- School of Aging Studies, University of South Florida, FL.,Department of Neurology, Motol University Hospital and Charles University, Prague, Czech Republic.,International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
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17
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Rodriguez FS, Huhn S, Vega WA, Aranda MP, Schroeter ML, Engel C, Baber R, Burkhardt R, Löffler M, Thiery J, Villringer A, Luck T, Riedel-Heller SG, Witte AV. Do High Mental Demands at Work Protect Cognitive Health in Old Age via Hippocampal Volume? Results From a Community Sample. Front Aging Neurosci 2021; 12:622321. [PMID: 33536897 PMCID: PMC7848890 DOI: 10.3389/fnagi.2020.622321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 12/21/2020] [Indexed: 11/13/2022] Open
Abstract
As higher mental demands at work are associated with lower dementia risk and a key symptom of dementia is hippocampal atrophy, the study aimed at investigating the association between mental demands at work and hippocampal volume. We analyzed data from the population-based LIFE-Adult-Study in Leipzig, Germany (n = 1,409, age 40–80). Hippocampal volumes were measured via three-dimensional Magnetic resonance imaging (MRI; 3D MP-RAGE) and mental demands at work were classified via the O*NET database. Linear regression analyses adjusted for gender, age, education, APOE e4-allele, hypertension, and diabetes revealed associations between higher demands in “language and knowledge,” “information processing,” and “creativity” at work on larger white and gray matter volume and better cognitive functioning with “creativity” having stronger effects for people not yet retired. Among retired individuals, higher demands in “pattern detection” were associated with larger white matter volume as well as larger hippocampal subfields CA2/CA3, suggesting a retention effect later in life. There were no other relevant associations with hippocampal volume. Our findings do not support the idea that mental demands at work protect cognitive health via hippocampal volume or brain volume. Further research may clarify through what mechanism mentally demanding activities influence specifically dementia pathology in the brain.
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Affiliation(s)
- Francisca S Rodriguez
- German Center for Neurodegenerative Diseases (DZNE), RG Psychosocial Epidemiology and Public Health, Greifswald, Germany.,Center for Cognitive Science, University of Kaiserslautern, Kaiserslautern, Germany.,Institute of Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Leipzig, Germany.,LIFE-Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Sebastian Huhn
- Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany.,Collaborative Research Centre 1052 "Obesity Mechanisms," Subproject A1, Faculty of Medicine, University of Leipzig, Leipzig, Germany
| | - William A Vega
- Edward Royball Institute of Aging, University of Southern California, Los Angeles, CA, United States
| | - Maria P Aranda
- Edward Royball Institute of Aging, University of Southern California, Los Angeles, CA, United States
| | - Matthias L Schroeter
- Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Christoph Engel
- LIFE-Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany.,Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany
| | - Ronny Baber
- LIFE-Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany.,Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics (ILM), University Hospital Leipzig, Leipzig, Germany
| | - Ralph Burkhardt
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics (ILM), University Hospital Leipzig, Leipzig, Germany
| | - Markus Löffler
- LIFE-Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany.,Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany
| | - Joachim Thiery
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics (ILM), University Hospital Leipzig, Leipzig, Germany
| | - Arno Villringer
- Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Tobias Luck
- Faculty of Applied Social Sciences, University of Applied Sciences Erfurt, Erfurt, Germany
| | - Steffi G Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Leipzig, Germany
| | - A Veronica Witte
- Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany.,Collaborative Research Centre 1052 "Obesity Mechanisms," Subproject A1, Faculty of Medicine, University of Leipzig, Leipzig, Germany
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18
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Brain Reserve in a Case of Cognitive Resilience to Severe Leukoaraiosis. J Int Neuropsychol Soc 2021; 27:99-108. [PMID: 32539895 PMCID: PMC7738360 DOI: 10.1017/s1355617720000569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Leukoaraiosis, or white matter rarefaction, is a common imaging finding in aging and is presumed to reflect vascular disease. When severe in presentation, potential congenital or acquired etiologies are investigated, prompting referral for neuropsychological evaluation in addition to neuroimaging. T2-weighted imaging is the most common magnetic resonance imaging (MRI) approach to identifying white matter disease. However, more advanced diffusion MRI techniques may provide additional insight into mechanisms that influence the abnormal T2 signal, especially when clinical presentations are discrepant with imaging findings. METHOD We present a case of a 74-year-old woman with severe leukoaraoisis. She was examined by a neurologist, neuropsychologist, and rheumatologist, and completed conventional (T1, T2-FLAIR) MRI, diffusion tensor imaging (DTI), and advanced single-shell, high b-value diffusion MRI (i.e., fiber ball imaging [FBI]). RESULTS The patient was found to have few neurological signs, no significant cognitive impairment, a negative workup for leukoencephalopathy, and a positive antibody for Sjogren's disease for which her degree of leukoaraiosis would be highly atypical. Tractography results indicate intact axonal architecture that was better resolved using FBI rather than DTI. CONCLUSIONS This case illustrates exceptional cognitive resilience in the face of severe leukoaraiosis and the potential for advanced diffusion MRI to identify brain reserve.
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Burzynska AZ, Ganster DC, Fanning J, Salerno EA, Gothe NP, Voss MW, McAuley E, Kramer AF. Occupational Physical Stress Is Negatively Associated With Hippocampal Volume and Memory in Older Adults. Front Hum Neurosci 2020; 14:266. [PMID: 32765239 PMCID: PMC7381137 DOI: 10.3389/fnhum.2020.00266] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 06/15/2020] [Indexed: 12/20/2022] Open
Abstract
Our jobs can provide intellectually and socially enriched environments but also be the source of major psychological and physical stressors. As the average full-time worker spends >8 h at work per weekday and remains in the workforce for about 40 years, occupational experiences must be important factors in cognitive and brain aging. Therefore, we studied whether occupational complexity and stress are associated with hippocampal volume and cognitive ability in 99 cognitively normal older adults. We estimated occupational complexity, physical stress, and psychological stress using the Work Design Questionnaire (Morgeson and Humphrey, 2006), Quantitative Workload Inventory and Interpersonal Conflict at Work Scale (Spector and Jex, 1998). We found that physical stress, comprising physical demands and work conditions, was associated with smaller hippocampal volume and poorer memory performance. These associations were independent of age, gender, brain size, socioeconomic factors (education, income, and job title), duration of the job, employment status, leisure physical activity and general stress. This suggests that physical demands at work and leisure physical activity may have largely independent and opposite effects on brain and cognitive health. Our findings highlight the importance of considering midlife occupational experiences, such as work physical stress, in understanding individual trajectories of cognitive and brain aging.
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Affiliation(s)
- Agnieszka Z. Burzynska
- Department of Human Development and Family Studies, Molecular, Cellular and Integrative Neurosciences Graduate Interdisciplinary Studies Program, Colorado State University, Fort Collins, CO, United States
| | - Daniel C. Ganster
- Department of Management, Colorado State University, Fort Collins, CO, United States
| | - Jason Fanning
- Department of Health & Exercise Sciences, Wake Forest University, Winston-Salem, NC, United States
| | - Elizabeth A. Salerno
- Cancer Prevention Fellowship Program, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, MD, United States
| | - Neha P. Gothe
- Department of Kinesiology and Community Health, University of Illinois at Urbana–Champaign, Urbana, IL, United States
| | - Michelle W. Voss
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, United States
| | - Edward McAuley
- Department of Kinesiology and Community Health, University of Illinois at Urbana–Champaign, Urbana, IL, United States
- Beckman Institute for Advanced Science & Technology, University of Illinois at Urbana–Champaign, Urbana, IL, United States
| | - Arthur F. Kramer
- Beckman Institute for Advanced Science & Technology, University of Illinois at Urbana–Champaign, Urbana, IL, United States
- Department of Psychology, Northeastern University, Boston, MA, United States
- Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA, United States
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20
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van Loenhoud AC, de Boer C, Wols K, Pijnenburg YA, Lemstra AW, Bouwman FH, Prins ND, Scheltens P, Ossenkoppele R, van der Flier WM. High occurrence of transportation and logistics occupations among vascular dementia patients: an observational study. ALZHEIMERS RESEARCH & THERAPY 2019; 11:112. [PMID: 31882022 PMCID: PMC6933928 DOI: 10.1186/s13195-019-0570-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Accepted: 12/12/2019] [Indexed: 11/25/2022]
Abstract
Background Growing evidence suggests a role of occupation in the emergence and manifestation of dementia. Occupations are often defined by complexity level, although working environments and activities differ in several other important ways. We aimed to capture the multi-faceted nature of occupation through its measurement as a qualitative (instead of a quantitative) variable and explored its relationship with different types of dementia. Methods We collected occupational information of 2121 dementia patients with various suspected etiologies from the Amsterdam Dementia Cohort (age 67 ± 8, 57% male; MMSE 21 ± 5). Our final sample included individuals with Alzheimer’s disease (AD) dementia (n = 1467), frontotemporal dementia (n = 281), vascular dementia (n = 98), Lewy body disease (n = 174), and progressive supranuclear palsy/corticobasal degeneration (n = 101). Within the AD group, we used neuropsychological data to further characterize patients by clinical phenotypes. All participants were categorized into 1 of 11 occupational classes, across which we evaluated the distribution of dementia (sub)types with χ2 analyses. We gained further insight into occupation-dementia relationships through post hoc logistic regressions that included various demographic and health characteristics as explanatory variables. Results There were significant differences in the distribution of dementia types across occupation groups (χ2 = 85.87, p < .001). Vascular dementia was relatively common in the Transportation/Logistics sector, and higher vascular risk factors partly explained this relationship. AD occurred less in Transportation/Logistics and more in Health Care/Welfare occupations, which related to a higher/lower percentage of males. We found no relationships between occupational classes and clinical phenotypes of AD (χ2 = 53.65, n.s.). Conclusions Relationships between occupation and dementia seem to exist beyond the complexity level, which offers new opportunities for disease prevention and improvement of occupational health policy.
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Affiliation(s)
- A C van Loenhoud
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands.
| | - C de Boer
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands
| | - K Wols
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands
| | - Y A Pijnenburg
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands
| | - A W Lemstra
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands
| | - F H Bouwman
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands
| | - N D Prins
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands
| | - P Scheltens
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands
| | - R Ossenkoppele
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands.,Clinical Memory Research Unit, Lund University, 221 00, Lund, Sweden
| | - W M van der Flier
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands.,Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HV, Amsterdam, The Netherlands
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21
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Habeck C, Eich TS, Gu Y, Stern Y. Occupational Patterns of Structural Brain Health: Independent Contributions Beyond Education, Gender, Intelligence, and Age. Front Hum Neurosci 2019; 13:449. [PMID: 31920603 PMCID: PMC6933301 DOI: 10.3389/fnhum.2019.00449] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 12/05/2019] [Indexed: 12/11/2022] Open
Abstract
Occupational activity represents a large percentage of people's daily activity and thus likely is as impactful for people's general and cognitive health as other lifestyle components such as leisure activity, sleep, diet, and exercise. Different occupations, however, require different skills, abilities, activities, credentials, work styles, etc., constituting a rich multidimensional formative exposure with likely consequences for brain development over the lifespan. In the current study, we were interested in how different occupations with their different attributes relate to five variables: structural brain health, duration of early-life education, gender, IQ, and age, although the main focus was the relationship to brain health. To this end, we used the Occupation Information Network (O∗NET), which provides quantification of occupations along 246 items. Occupational patterns with different loadings for these 246 items were derived from 277 community-dwelling adults, ranging in age from 40 to 80, based upon the five subject measures. We found significant patterns underlying four of our variables of interest, with gender and education predictably showing the most numerous and strongest associations, while brain health and intelligence showed weaker associations, and age did not manifest any associations. For the occupational pattern associated with brain health, we found mainly positive associations on items pertaining to rigorous problem-solving, leadership, responsibility, and information processing. We emphasize that the findings are correlational and cannot establish causation. Future extensions of this work will assess the influence of occupation on future cognitive brain status and cognitive performance.
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Affiliation(s)
- Christian Habeck
- Cognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY, United States
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22
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Wang Y, Du Y, Li J, Qiu C. Lifespan Intellectual Factors, Genetic Susceptibility, and Cognitive Phenotypes in Aging: Implications for Interventions. Front Aging Neurosci 2019; 11:129. [PMID: 31214016 PMCID: PMC6554280 DOI: 10.3389/fnagi.2019.00129] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 05/16/2019] [Indexed: 12/28/2022] Open
Abstract
Along with rapid global population aging, the age-related cognitive disorders such as mild cognitive impairment (MCI) and dementia have posed a serious threat to public health, health care system, and sustainable economic and societal development of all countries. In this narrative review, we seek to summarize the major epidemiological studies from the life-course perspective that investigate the influence of genetic susceptibility [e.g., apolipoprotein (APOE) ε4 allele] and intellectual or psychosocial factors (e.g., educational attainments and leisure activities) as well as their interactions on cognitive phenotypes in aging. Numerous population-based studies have suggested that early-life educational attainments and socioeconomic status, midlife work complexity and social engagements, late-life leisure activities (social, physical, and mentally-stimulating activities), certain personality traits (e.g., high neuroticism and low conscientiousness), and depression significantly affect late-life cognitive phenotypes. Furthermore, certain intellectual or psychosocial factors (e.g., leisure activities and depression) may interact with genetic susceptibility (e.g., APOE ε4 allele) to affect the phenotypes of cognitive aging such that risk or beneficial effects of these factors on cognitive function may vary by carrying the susceptibility genes. Current evidence from the randomized controlled trials that support the cognitive benefits of cognitive training among cognitive healthy older adults remains limited. The cognitive reserve hypothesis has been proposed to partly explain the beneficial effects of lifetime intellectual and psychosocial factors on late-life cognitive function. This implies that, from a life-course perspective, preventive intervention strategies targeting multiple modifiable intellectual and psychosocial factors could interfere with clinical expression of cognitive disorders in old age and delay the onset of dementia syndrome, and thus, may help achieve healthy brain aging.
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Affiliation(s)
- Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Juan Li
- Center on Aging Psychology, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.,Department of Neurobiology, Care Sciences and Society, Aging Research Center and Center for Alzheimer's Research, Karolinska Institutet-Stockholm University, Stockholm, Sweden
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23
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Bland JS. Understanding Structure and Function as a Model for 21st-Century Health Care. Integr Med (Encinitas) 2018; 17:8-11. [PMID: 31043921 PMCID: PMC6469446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Medicine is now at a turning point. The important role of a broader application of the structure-function model in health care is gaining recognition and it may, in fact, be a defining principle that can guide the development of future health care systems. This concept can be applied to the search for solutions to complex health-related issues that span across multiple domains: molecules, cells, tissues, organs, and organ systems. I believe it can equally be applied to a search for solutions to the social issues of our modern era: individual empowerment, relationships between and among people, relationships between and among nations, and population-based global concerns.
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