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Martinez-Amezcua P, Zhang W, Assi S, Gupta H, Twardzik E, Huang AR, Reed NS, Deal JA, Arnold ML, Burgard S, Chisolm T, Couper D, Glynn NW, Gmelin T, Goman AM, Gravens-Mueller L, Hayden KM, Mitchell CM, Pankow JS, Pike JR, Schrack JA, Sanchez VA, Sullivan KJ, Lin FR, Coresh J. Impact of a Hearing Intervention on the Levels of Leisure-Time Physical Activity and T.V. Viewing in Older Adults: Results from a Secondary Analysis of the ACHIEVE Study. J Gerontol A Biol Sci Med Sci 2025; 80:glaf033. [PMID: 39953975 DOI: 10.1093/gerona/glaf033] [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: 10/08/2024] [Indexed: 02/17/2025] Open
Abstract
BACKGROUND Age-related hearing loss is common among older adults and may influence physical activity and sedentary behaviors, such as TV viewing. This study examined whether a hearing intervention could affect these behaviors over 3 years. METHODS A total of 977 participants (mean age of 76.8, 53.5% female, 11.5% Black), recruited from the ARIC study (n = 238) and de novo (n = 739) with hearing loss (pure-tone average = 39.4 dB), were randomized to a hearing intervention or a health education control group. Physical activity, leisurely walking, and TV viewing were interrogated at baseline and 3-year follow-up. We used regression models adjusted for demographic and hearing loss severity to examine the impact of the intervention on the change in the frequency of engaging in these activities. RESULTS At baseline, 57.6% of participants engaged in moderate-to-vigorous physical activity (MVPA), 29.1% in high-frequency leisurely walking, and 46.8% in high-frequency TV viewing. Over 3 years, MVPA decreased to 48.8%, whereas leisurely walking and TV viewing increased. After 3 years, the hearing intervention group had similar odds of engaging in MVPA (ratio of odds ratios [ROR] = 1.03, 95% confidence interval [CI], 0.93-1.14), leisurely walking (ROR = 1.04, 95% CI, 0.93-1.17), and TV viewing (ROR = 0.95, 95% CI, 0.87-1.02) compared with the control group. Results were consistent across recruitment sources (ARIC and de novo). CONCLUSION A hearing intervention did not significantly influence physical activity, walking, or TV viewing behaviors in older adults over 3 years. Additional strategies may be needed to change physical and sedentary behaviors in this population.
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Affiliation(s)
- Pablo Martinez-Amezcua
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Wuyang Zhang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Sahar Assi
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Heramb Gupta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Erica Twardzik
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- School of Kinesiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Alison R Huang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Nicholas S Reed
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Optimal Aging Institute, NYU Grossman School of Medicine, New York, New York, USA
| | - Jennifer A Deal
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Michelle L Arnold
- Department of Communication Sciences and Disorders, University of South Florida, Tampa, Florida, USA
| | - Sheila Burgard
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Theresa Chisolm
- Department of Communication Sciences and Disorders, University of South Florida, Tampa, Florida, USA
| | - David Couper
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Nancy W Glynn
- Department of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Theresa Gmelin
- Department of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Adele M Goman
- School of Health and Social Care, Edinburgh Napier University, Edinburgh, UK
| | - Lisa Gravens-Mueller
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Kathleen M Hayden
- Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Christine M Mitchell
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - James S Pankow
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota, USA
| | - James Russell Pike
- Optimal Aging Institute, NYU Grossman School of Medicine, New York, New York, USA
| | - Jennifer A Schrack
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Victoria A Sanchez
- Department of Otolaryngology-Head & Neck Surgery, University of South Florida, Tampa, Florida, USA
| | - Kevin J Sullivan
- Department of Medicine: The MIND Center, The University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Frank R Lin
- Department of Medicine: The MIND Center, The University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Josef Coresh
- Optimal Aging Institute, NYU Grossman School of Medicine, New York, New York, USA
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Zhao X, Wu X, Ma T, Xiao J, Chen X, Tang M, Zhang L, Zhang T, Fan M, Liao J, Zhang B, Jiang X, Li J. Late-life physical activity, midlife-to-late-life activity patterns, APOE ε4 genotype, and cognitive impairment among Chinese older adults: a population-based observational study. Int J Behav Nutr Phys Act 2025; 22:5. [PMID: 39789564 PMCID: PMC11720804 DOI: 10.1186/s12966-024-01691-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Accepted: 12/03/2024] [Indexed: 01/12/2025] Open
Abstract
BACKGROUND Although physical activity (PA) has been linked to cognitive health, the nuanced relationships between different dimensions of PA and cognitive impairment remain inconclusive. This study investigated associations between late-life PA levels, midlife-to-late-life activity patterns, and cognitive impairment in Chinese older adults, considering potential moderation by apolipoprotein E (APOE) ε4 genotype. METHODS We analyzed baseline data from 6,899 participants (median age 68 years, 55.78% female) in the West China Health and Aging Cohort study, with 6,575 participants having APOE genotyping data. Late-life PA and midlife-to-late-life activity patterns were assessed using the Global Physical Activity Questionnaire and a standardized question, respectively. Cognitive function was evaluated using the Chinese version of Mini-Mental State Examination. Logistic regression models were used to examine associations. RESULTS Compared to low PA level, moderate (odds ratio [OR] = 0.74, 95% confidence interval [CI] = 0.55 ~ 0.99) and high PA levels (OR = 0.60, 95%CI = 0.48 ~ 0.75) were associated with lower risk of cognitive impairment. Engaging in work-, transport-, recreation-related, and moderate-intensity PA were each significantly associated with lower cognitive impairment risk. Maintaining activity levels from midlife to late life was associated with lower cognitive impairment risk compared to decreasing levels (OR = 0.75, 95%CI = 0.60 ~ 0.94). These associations were more pronounced in APOE ε4 non-carriers, with an interaction observed between APOE ε4 genotype and recreation-related PA (P-value = 0.04). CONCLUSIONS Our findings underscore the multifaceted benefits of PA in mitigating cognitive impairment risk among older Chinese adults. Public health strategies should focus on promoting overall late-life PA levels, especially moderate-intensity PA, and maintaining activity levels comparable to midlife, with potential for personalized interventions based on genetic risk profiles.
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Affiliation(s)
- Xunying Zhao
- Department of Epidemiology and Health Statistics and West China Institute of Preventive and Medical Integration for Major Diseases, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xueyao Wu
- Department of Epidemiology and Health Statistics and West China Institute of Preventive and Medical Integration for Major Diseases, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Tianpei Ma
- Department of Epidemiology and Health Statistics and West China Institute of Preventive and Medical Integration for Major Diseases, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jinyu Xiao
- Department of Epidemiology and Health Statistics and West China Institute of Preventive and Medical Integration for Major Diseases, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xin Chen
- Department of Epidemiology and Health Statistics and West China Institute of Preventive and Medical Integration for Major Diseases, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Mingshuang Tang
- Department of Epidemiology and Health Statistics and West China Institute of Preventive and Medical Integration for Major Diseases, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Li Zhang
- Department of Epidemiology and Health Statistics and West China Institute of Preventive and Medical Integration for Major Diseases, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Tao Zhang
- Department of Epidemiology and Health Statistics and West China Institute of Preventive and Medical Integration for Major Diseases, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Mengyu Fan
- Department of Epidemiology and Health Statistics and West China Institute of Preventive and Medical Integration for Major Diseases, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jiaqiang Liao
- Department of Epidemiology and Health Statistics and West China Institute of Preventive and Medical Integration for Major Diseases, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ben Zhang
- Department of Epidemiology and Health Statistics and West China Institute of Preventive and Medical Integration for Major Diseases, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
- Hainan General Hospital and Hainan Affiliated Hospital, Hainan Medical University, Haikou, China
| | - Xia Jiang
- Department of Epidemiology and Health Statistics and West China Institute of Preventive and Medical Integration for Major Diseases, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
- Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Solna, Stockholm, Sweden.
| | - Jiayuan Li
- Department of Epidemiology and Health Statistics and West China Institute of Preventive and Medical Integration for Major Diseases, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
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Liu HY, Zhang YJ, Zhang WY. Exploring the association of physical activity on cognitive function in older adults from observational and genetic insights: a combined NHANES and Mendelian randomization study. Front Aging Neurosci 2024; 16:1418455. [PMID: 39021706 PMCID: PMC11252077 DOI: 10.3389/fnagi.2024.1418455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 06/24/2024] [Indexed: 07/20/2024] Open
Abstract
Background Cognitive function (CF) deterioration is a pressing concern in geriatric research. This study aimed to explore the relationship between physical activity (PA) and CF in older adults. Methods This study adopted a dual approach, employing both observational and genetic approaches through data from the National Health and Nutrition Examination Survey (NHANES) 2011-2014 and Mendelian Randomization (MR) analysis. For the NHANES component, PA levels were evaluated using the Global Physical Activity Questionnaire, and CF was assessed via standardized tests. Multivariate regression, threshold effect analysis, smoothing curve fitting, and subgroup analyses were conducted to examine the association between PA and CF. In parallel, MR methods, using genetic variants as instrumental variables, assessed the causal impact of PA on CF and related conditions such as Alzheimer's disease and dementia. Results Observational findings from NHANES demonstrated a positive correlation between PA and CF, notably among female participants. The detailed analysis identified specific thresholds of PA that correlate with cognitive enhancements. However, MR results did not support a significant causal relationship between PA and CF or dementia-related outcomes, indicating an absence of a direct genetic basis for the observational associations. Conclusion Although observational data from NHANES suggest that PA is positively associated with CF in older adults, particularly among women, MR analysis did not confirm these findings as causally related. The discrepancy highlights the complexity of the PA-CF relationship and underscores the need for further research. These results emphasize the potential of PA as a modifiable risk factor for CF, though causal effects remain to be definitively established.
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Affiliation(s)
- Hai-yan Liu
- Department of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yi-Jing Zhang
- Department of Obstetrics, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Wen-you Zhang
- Department of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
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Lee J, Kim J, Woo B, Pesola A, Tikkanen O. The longitudinal relationship between levels of leisure-time physical activity and positive and negative affect among older foreign-born adults with mild cognitive impairment. Psychogeriatrics 2024; 24:778-788. [PMID: 38627982 DOI: 10.1111/psyg.13114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 02/21/2024] [Accepted: 03/05/2024] [Indexed: 07/05/2024]
Abstract
BACKGROUND The purpose of this study was to investigate the longitudinal impact of different levels of leisure-time physical activity (LTPA) participation on positive and negative affect among older foreign-born adults with mild cognitive impairment (MCI). METHODS This study used 2012 to 2020 data from the Health and Retirement Study data (n = 1206) that was analyzed using repeated measured multivariate analysis of covariance. RESULTS The high-level participation LTPA group reported higher positive affect and lower negative affect than the mid and low-level participation groups. The mid-level LTPA group also reported higher positive and lower negative affect than the low-level LTPA group. CONCLUSIONS This study provides evidence that high levels of LTPA participation contribute to an increase in positive affect and a reduction of negative affect among older foreign-born adults with MCI. The findings of this study will help fill the gap in research on the longitudinal relationship between levels of LTPA participation and positive and negative affect among older foreign-born adults.
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Affiliation(s)
- Jungjoo Lee
- School of Health Professions, College of Nursing and Health Professions, University of Southern Mississippi, Hattiesburg, Mississippi, USA
| | - Junhyoung Kim
- Department of Health Behavior, School of Public Health, Texas A&M University, College Station, Texas, USA
| | - Bomi Woo
- Department of Health Behavior, School of Public Health, Texas A&M University, College Station, Texas, USA
| | - Arto Pesola
- Active Life Lab South-Eastern Finland University of Applied Sciences, Mikkeli, Finland
| | - Olli Tikkanen
- Fibion Inc. Jyväskylä, Finland and Physical Activity Researcher Podcast, Jyväskylä, Finland
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Liu Y, Lu G, Liu L, He Y, Gong W. Cognitive reserve over the life course and risk of dementia: a systematic review and meta-analysis. Front Aging Neurosci 2024; 16:1358992. [PMID: 38681665 PMCID: PMC11047126 DOI: 10.3389/fnagi.2024.1358992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 04/02/2024] [Indexed: 05/01/2024] Open
Abstract
Background The number of people with dementia is soaring. Cognitive reserve has been thought to be associated with dementia risk. It is not clear at which period in the life course and which cognitive reserve proxies contribute to the reduced risk of dementia. Methods By scanning four databases (PubMed, Embase, Web of Science, and MEDLINE) up to Jun 3, 2023, longitudinal studies of life-course cognitive reserve and risk of dementia were found. The HRs and 95% CIs for each study were summarized using random effects models. Subgroup analyses and sensitivity analyses were conducted. Utilizing funnel plots, Begg and Egger tests, publication bias was investigated. Results A total of 27 studies were included, containing 10 in early-life, 10 in middle-life, and 13 in late-life. All studies used validated questionnaires to measure cognitive reserve, and dementia diagnosis followed recognized worldwide guidelines. All included studies were of medium or low risk. Cognitive reserve in early-life (Hazard ratio (HR): 0.82; 95% confidence interval (CI): 0.79-0.86), middle-life (HR: 0.91; 95% CI: 0.84-0.98) and late-life (HR: 0.81; 95% CI: 0.75-0.88) all have protective effects on dementia risk. Multiple sensitivity analyses showed consistent results. Conclusion Dementia risk is reduced by the buildup of cognitive reserves during life-course. Accumulation of proxies for cognitive reserve in early and late life had the greatest effect on dementia risk reduction. Social connection may be an effective approach to lower dementia risk.
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Affiliation(s)
| | | | | | | | - Weijuan Gong
- School of Nursing and School of Public Health, Medical College, Yangzhou University, Yangzhou, China
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Wang W, Sun P, Lv T, Li M. The impact of modifiable health metrics on mortality for older adults with low cognitive function. Front Public Health 2024; 12:1304876. [PMID: 38333737 PMCID: PMC10850326 DOI: 10.3389/fpubh.2024.1304876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 01/15/2024] [Indexed: 02/10/2024] Open
Abstract
Objectives Cognitive impairment has emerged as a major contributing factor to mortality for older adults. Identifying the strong modifiable health metrics against mortality is of high priority, especially in this high-risk population. Methods This population-based study used data of US adults aged≥60 years old from the National Health and Nutrition Examination Survey 2011-2014 cycles. De-identified data for participants who completed cognitive function test were extracted. Mortality data was obtained by linking to the 2019 public-use linked mortality file. Results Participants with low global cognition had higher risk of all-cause mortality (HR = 1.46; 95%CI, 1.04-2.05). The highest prevalence of ideal level of health metrics was observed for sleep duration (54.36% vs. 62.37%), and the lowest was noted for blood pressure (12.06% vs. 21.25%) for participants with low and average to high global cognition, respectively. Ideal status of physical activity and diet quality were significantly associated with all-cause mortality among participants with low global cognition (HR = 0.48, 95%CI: 0.28-0.82; HR = 0.63, 95%CI: 0.43-0.95). The corresponding population-attributable fractions were 26.58 and 15.90%, respectively. Conclusion Low cognitive function was associated with increased risk of all-cause death for older adults. Attainment of healthy metrics, especially sufficient physical activity, consuming healthy diet and being never smoked, provided strong protection against death risk.
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Affiliation(s)
- Wei Wang
- Department of Clinical Laboratory, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Pengfei Sun
- Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Tingting Lv
- Liver Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Min Li
- Clinical Epidemiology and EBM Unit, Beijing Friendship Hospital, Beijing Clinical Research Institute, Capital Medical University, Beijing, China
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Hotz I, Deschwanden PF, Mérillat S, Jäncke L. Associations between white matter hyperintensities, lacunes, entorhinal cortex thickness, declarative memory and leisure activity in cognitively healthy older adults: A 7-year study. Neuroimage 2023; 284:120461. [PMID: 37981203 DOI: 10.1016/j.neuroimage.2023.120461] [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: 05/04/2023] [Revised: 11/02/2023] [Accepted: 11/16/2023] [Indexed: 11/21/2023] Open
Abstract
INTRODUCTION Cerebral small vessel disease (cSVD) is a growing epidemic that affects brain health and cognition. Therefore, a more profound understanding of the interplay between cSVD, brain atrophy, and cognition in healthy aging is of great importance. In this study, we examined the association between white matter hyperintensities (WMH) volume, number of lacunes, entorhinal cortex (EC) thickness, and declarative memory in cognitively healthy older adults over a seven-year period, controlling for possible confounding factors. Because there is no cure for cSVD to date, the neuroprotective potential of an active lifestyle has been suggested. Supporting evidence, however, is scarce. Therefore, a second objective of this study is to examine the relationship between leisure activities, cSVD, EC thickness, and declarative memory. METHODS We used a longitudinal dataset, which consisted of five measurement time points of structural MRI and psychometric cognitive ability and survey data, collected from a sample of healthy older adults (baseline N = 231, age range: 64-87 years, age M = 70.8 years), to investigate associations between cSVD MRI markers, EC thickness and verbal and figural memory performance. Further, we computed physical, social, and cognitive leisure activity scores from survey-based assessments and examined their associations with brain structure and declarative memory. To provide more accurate estimates of the trajectories and cross-domain correlations, we applied latent growth curve models controlling for potential confounders. RESULTS Less age-related thinning of the right (β = 0.92, p<.05) and left EC (β = 0.82, p<.05) was related to less declarative memory decline; and a thicker EC at baseline predicted less declarative memory loss (β = 0.54, p<.05). Higher baseline levels of physical (β = 0.24, p<.05), and social leisure activity (β = 0.27, p<.01) predicted less thinning of right EC. No relation was found between WMH or lacunes and declarative memory or between leisure activity and declarative memory. Higher education was initially related to more physical activity (β = 0.16, p<.05) and better declarative memory (β = 0.23, p<.001), which, however, declined steeper in participants with higher education (β = -.35, p<.05). Obese participants were less physically (β = -.18, p<.01) and socially active (β = -.13, p<.05) and had thinner left EC (β = -.14, p<.05) at baseline. Antihypertensive medication use (β = -.26, p<.05), and light-to-moderate alcohol consumption (β = -.40, p<.001) were associated with a smaller increase in the number of lacunes whereas a larger increase in the number of lacunes was observed in current smokers (β = 0.30, p<.05). CONCLUSIONS Our results suggest complex relationships between cSVD MRI markers (total WMH, number of lacunes, right and left EC thickness), declarative memory, and confounding factors such as antihypertensive medication, obesity, and leisure activitiy. Thus, leisure activities and having good cognitive reserve counteracting this neurodegeneration. Several confounding factors seem to contribute to the extent or progression/decline of cSVD, which needs further investigation in the future. Since there is still no cure for cSVD, modifiable confounding factors should be studied more intensively in the future to maintain or promote brain health and thus cognitive abilities in older adults.
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Affiliation(s)
- Isabel Hotz
- Dynamics of Healthy Aging, University Research Priority Program (URPP), University of Zurich, Stampfenbachstrasse 73, Zurich CH-8006, Switzerland.
| | - Pascal Frédéric Deschwanden
- Dynamics of Healthy Aging, University Research Priority Program (URPP), University of Zurich, Stampfenbachstrasse 73, Zurich CH-8006, Switzerland
| | - Susan Mérillat
- Dynamics of Healthy Aging, University Research Priority Program (URPP), University of Zurich, Stampfenbachstrasse 73, Zurich CH-8006, Switzerland
| | - Lutz Jäncke
- Dynamics of Healthy Aging, University Research Priority Program (URPP), University of Zurich, Stampfenbachstrasse 73, Zurich CH-8006, Switzerland
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Karanth S, Braithwaite D, Katsumata Y, Duara R, Norrod P, Aukhil I, Abner E. Association of Physical Frailty and Cognitive Function in a Population-Based Cross-Sectional Study of American Older Adults. Gerontology 2023; 70:48-58. [PMID: 37903474 PMCID: PMC10961850 DOI: 10.1159/000533919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 08/28/2023] [Indexed: 11/01/2023] Open
Abstract
INTRODUCTION Cognitive impairment and frailty are prevalent in older persons. Physical frailty is associated with cognitive decline; however, the role of effect modifiers such as age, sex, race/ethnicity, and cognitive reserve is not well understood. METHODS Cross-sectional data from the National Health and Nutrition Examination Survey (2011-2014) were obtained for participants aged ≥60 years. Complete availability of cognitive scores was an inclusion criterion. Physical frailty was defined by the presence of exhaustion, weakness, low body mass, and/or low physical activity, and categorized into three groups: robust (0 present), pre-frail (1-2 present), or frail (3-4 present). Four cognitive test scores were converted to z-scores, and global cognition (composite z-score) was calculated by averaging the four-individual z-scores. Multivariable linear regression models were fit to estimate the associations between frailty and cognitive function. Frailty was also evaluated as a risk factor for self-reported subjective memory complaint (SMC) using logistic regression. All models were adjusted for age, sex, race/ethnicity, education, alcohol use, income, marital status, diabetes, hypertension, and history of stroke. Effect measure modification analyses were conducted by age, sex, race/ethnicity, education, and occupational cognitive demand. RESULTS The study population comprised 2,863 participants aged ≥60 years. 50.6% of the participants were categorized into robust, 43.2% pre-frail, and 6.2% frail. After adjusting for covariates, compared to robust participants, frail and prefrail participants had lower adjusted mean global cognitive z-scores, β^ = -0.61, 95% CI: -0.83, -0.38 and β^ = -0.21, 95% CI: -0.30, -0.12, respectively. Both prefrail and frail participants had higher odds of SMC compared to the robust participants. We did not see strong evidence that the association between frailty and cognition was modified by the factors we studied. DISCUSSION/CONCLUSION Both pre-frailty and frailty were associated with lower cognitive performance and were more likely to report subjective memory complaints relative to persons without frailty. These findings provide additional evidence that physical frailty may serve as a prognostic factor for cognitive deterioration or dementia, and prevention of frailty may be an important public health strategy.
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Affiliation(s)
- Shama Karanth
- Department of Surgery, College of Medicine, University of Florida, Gainesville, Florida, USA
- University of Florida Health Cancer Center, Gainesville, Florida, USA
| | - Dejana Braithwaite
- Department of Surgery, College of Medicine, University of Florida, Gainesville, Florida, USA
- University of Florida Health Cancer Center, Gainesville, Florida, USA
- Department of Epidemiology, University of Florida College of Public Health and Health Professions, Gainesville, Florida, USA
| | - Yuriko Katsumata
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
| | - Ranjan Duara
- Florida Alzheimer's Disease Research Center, University of Florida, Gainesville, Florida, USA
- Wien Center for Alzheimer's Disease and Memory Disorders, Mount Sinai Medical Center¸, Miami Beach, Florida, USA
| | - Paul Norrod
- Department of Population Health, College of Nursing, University of Cincinnati, Cincinnati, Ohio, USA
| | - Ikramuddin Aukhil
- Department of Surgical Sciences, School of Dental Medicine, East Carolina University, Greenville, North Carolina, USA
| | - Erin Abner
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- Department of Epidemiology and Environmental Health, College of Public Health, University of Kentucky, Lexington, Kentucky, USA
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Choe YM, Suh GH, Lee BC, Choi IG, Kim HS, Kim JW, Hwang J, Yi D, Kim JW. High-intensity walking in midlife is associated with improved memory in physically capable older adults. Alzheimers Res Ther 2023; 15:143. [PMID: 37644550 PMCID: PMC10463890 DOI: 10.1186/s13195-023-01293-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 08/21/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND Little is known about the associations of midlife- and late life-initiated walking with Alzheimer's disease (AD)-related cognitive decline in humans. We aimed to investigate whether high-intensity, prolonged, midlife-initiated walking is associated with changes in AD-related cognitive decline in physically capable older adults. METHODS We studied 188 physically capable participants aged 65-90 years without dementia who underwent comprehensive clinical assessment, including of their walking modality (i.e., intensity, duration, midlife- or late life-onset), memory- or non-memory and total cognitive performance, and blood or nutritional biomarkers. RESULTS The walking group showed better episodic memory (B = 2.852, SE = 1.214, β = 0.144, p = 0.020), but not non-memory cognition, than the non-walking group. High-intensity walking starting in midlife was significantly associated with better episodic memory (B = 9.360, SE = 3.314, β = 0.446, p = 0.005) compared to the non-walking group. In contrast, there were no differences in cognition according to walking duration, regardless of the onset time. The walking group also showed a similar association with overall cognition. CONCLUSIONS Among physically capable older adults without dementia, walking, particularly at high intensity and starting in midlife, is associated with improved episodic memory, an AD-related cognitive domain. Further attention should be paid to the role of walking in terms of AD prevention.
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Affiliation(s)
- Young Min Choe
- Department of Psychiatry, Hallym University College of Medicine, Chuncheon, Gangwon, 24252, Republic of Korea
- Department of Neuropsychiatry, Hallym University Dongtan Sacred Heart Hospital, 7 Keunjaebong-Gil, Hwaseong, Gyeonggi, 18450, Republic of Korea
| | - Guk-Hee Suh
- Department of Psychiatry, Hallym University College of Medicine, Chuncheon, Gangwon, 24252, Republic of Korea
- Department of Neuropsychiatry, Hallym University Dongtan Sacred Heart Hospital, 7 Keunjaebong-Gil, Hwaseong, Gyeonggi, 18450, Republic of Korea
| | - Boung Chul Lee
- Department of Psychiatry, Hallym University College of Medicine, Chuncheon, Gangwon, 24252, Republic of Korea
- Department of Neuropsychiatry, Hallym University Hangang Sacred Heart Hospital, Seoul, 07247, Republic of Korea
| | - Ihn-Geun Choi
- Department of Psychiatry, Hallym University College of Medicine, Chuncheon, Gangwon, 24252, Republic of Korea
- Department of Psychiatry, Seoul W Psychiatric Office, Seoul, 08594, Republic of Korea
| | - Hyun Soo Kim
- Department of Laboratory Medicine, Hallym University Dongtan Sacred Heart Hospital, 7 Keunjaebong-Gil, Hwaseong, Gyeonggi, 18450, Republic of Korea
| | - Jong Wan Kim
- Department of Surgery, Hallym University Dongtan Sacred Heart Hospital, 7 Keunjaebong-Gil, Hwaseong, Gyeonggi, 18450, Republic of Korea
| | - Jaeuk Hwang
- Department of Psychiatry, Soonchunhyang University Hospital Seoul, Seoul, 04401, Republic of Korea
| | - Dahyun Yi
- Institute of Human Behavioral Medicine, Medical Research Center, Seoul National University, Seoul, 03080, Republic of Korea
| | - Jee Wook Kim
- Department of Psychiatry, Hallym University College of Medicine, Chuncheon, Gangwon, 24252, Republic of Korea.
- Department of Neuropsychiatry, Hallym University Dongtan Sacred Heart Hospital, 7 Keunjaebong-Gil, Hwaseong, Gyeonggi, 18450, Republic of Korea.
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Lee BC, Choe YM, Suh GH, Choi IG, Kim HS, Hwang J, Yi D, Kim JW. Association between physical activity and episodic memory and the moderating effects of the apolipoprotein E ε4 allele and age. Front Aging Neurosci 2023; 15:1184609. [PMID: 37496755 PMCID: PMC10366607 DOI: 10.3389/fnagi.2023.1184609] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Accepted: 06/19/2023] [Indexed: 07/28/2023] Open
Abstract
Background An abundance of evidence indicates that physical activity may protect against Alzheimer's disease (AD) and related cognitive decline. However, little is known about the association between physical activity and AD-related cognitive decline according to age and the apolipoprotein E (APOE) ε4 allele (APOE4) as major risk factors. Therefore, we examined whether age and APOE4 status modulate the effects of physical activity on episodic memory as AD-related cognition in non-demented older adults. Methods We enrolled 196 adults aged between 65 and 90 years, with no dementia. All participants underwent comprehensive clinical assessments including physical activity evaluation and APOE genotyping. The AD-related cognitive domain was assessed by the episodic memory, as the earliest cognitive change in AD, and non-memory cognition for comparative purposes. Overall cognition was assessed by the total score (TS) of the Consortium to Establish a Registry for Alzheimer's Disease neuropsychological battery. Results We found significant physical activity × age and physical activity × APOE4 interaction effects on episodic memory. Subgroup analyses indicated that an association between physical activity and increased episodic memory was apparent only in subjects aged > 70 years, and in APOE4-positive subjects. Conclusion Our findings suggest that physical activity has beneficial effects on episodic memory, as an AD-related cognitive domain, in individuals aged > 70 years and in APOE4-positive individuals. Physicians should take age and APOE4 status account into when recommending physical activity to prevent AD-related cognitive decline.
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Affiliation(s)
- Boung Chul Lee
- Department of Psychiatry, Hallym University College of Medicine, Chuncheon, Republic of Korea
- Department of Neuropsychiatry, Hallym University Hangang Sacred Heart Hospital, Seoul, Republic of Korea
| | - Young Min Choe
- Department of Psychiatry, Hallym University College of Medicine, Chuncheon, Republic of Korea
- Department of Neuropsychiatry, Hallym University Dongtan Sacred Heart Hospital, Gyeonggi, Republic of Korea
| | - Guk-Hee Suh
- Department of Psychiatry, Hallym University College of Medicine, Chuncheon, Republic of Korea
- Department of Neuropsychiatry, Hallym University Dongtan Sacred Heart Hospital, Gyeonggi, Republic of Korea
| | - Ihn-Geun Choi
- Department of Psychiatry, Hallym University College of Medicine, Chuncheon, Republic of Korea
- Department of Psychiatry, Seoul W Psychiatric Office, Seoul, Republic of Korea
| | - Hyun Soo Kim
- Department of Laboratory Medicine, Hallym University Dongtan Sacred Heart Hospital, Gyeonggi, Republic of Korea
| | - Jaeuk Hwang
- Department of Psychiatry, Soonchunhyang University Hospital Seoul, Seoul, Republic of Korea
| | - Dahyun Yi
- Institute of Human Behavioral Medicine, Medical Research Center Seoul National University, Seoul, Republic of Korea
| | - Jee Wook Kim
- Department of Psychiatry, Hallym University College of Medicine, Chuncheon, Republic of Korea
- Department of Neuropsychiatry, Hallym University Hangang Sacred Heart Hospital, Seoul, Republic of Korea
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11
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Martinez-Amezcua P, Garcia Morales E, Gabriel K, Dooley E, Hornikel B, Coresh J, Lin F, Pankow J, Sharrett A, Schrack J, Sullivan K, Reed N, Deal J, Palta P. The Association Between Midlife Leisure-Time Physical Activity and Hearing Loss in Late Life in the Atherosclerosis Risk in Communities Study. J Gerontol A Biol Sci Med Sci 2023; 78:1292-1299. [PMID: 36124822 PMCID: PMC10329230 DOI: 10.1093/gerona/glac194] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Hearing loss is highly prevalent in older ages and has several health consequences. Some cardiovascular risk factors are associated with worse hearing at older ages. Still, the role of midlife leisure-time physical activity (PA) as a risk factor for hearing loss is yet to be investigated. METHODS Among 3 198 participants of the Atherosclerosis Risk in Communities study, we investigated the associations of midlife and change from mid- to late-life PA (assessed via modified Baecke questionnaire) with hearing loss (audiometric battery [worse-ear pure-tone average, and speech-in-noise test]) at older ages. We used regression analyses, adjusted for demographics, medical conditions, and noise exposure, to estimate differences in hearing between those who met and did not meet PA recommendations at midlife and at late life. RESULTS A total of 1 386 (43.3%) participants met PA recommendations at midlife. These participants, compared to those who did not meet recommendations, had lower (better) pure-tone average by 1.51 (0.46, 2.55) decibels, identified 0.37 (0.01, 0.74) more words (better score) in the speech-in-noise test, and had a lower relative risk of having hearing loss at older ages (eg, relative risk ratio for severe hearing loss vs normal hearing = 0.70 [0.52, 0.95]). Similarly, those who persistently met PA recommendations from mid- to late life had, compared with those who did not, a better hearing at older ages. CONCLUSIONS Meeting PA public health recommendations in midlife and mid- to late life was associated with better hearing at older ages and reduced risk of hearing loss. Promoting adequate levels of PA may be an essential component of hearing care.
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Affiliation(s)
- Pablo Martinez-Amezcua
- Department of Medicine, Division of General Medicine, Columbia University Irving Medical Campus, New York, New York, USA
| | - Emmanuel Garcia Morales
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Kelley P Gabriel
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Erin E Dooley
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Bjoern Hornikel
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Frank R Lin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - James S Pankow
- Division of Epidemiology, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - A Richey Sharrett
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Jennifer A Schrack
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Kevin J Sullivan
- Department of Medicine, University of Mississippi, Medical Center, Jackson, Mississippi, USA
| | - Nicholas Reed
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Jennifer A Deal
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Priya Palta
- Department of Medicine, Division of General Medicine, Columbia University Irving Medical Campus, New York, New York, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, New York, USA
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12
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Gong HJ, Tang X, Chai YH, Qiao YS, Xu H, Patel I, Zhang JY, Zhou JB. Predicted lean body mass in relation to cognitive function in the older adults. Front Endocrinol (Lausanne) 2023; 14:1172233. [PMID: 37484948 PMCID: PMC10358760 DOI: 10.3389/fendo.2023.1172233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 06/16/2023] [Indexed: 07/25/2023] Open
Abstract
Background Previous findings about lean body mass (LBM) and cognitive function remain unclear. We aimed to examine this association by using data from the National Health and Nutrition Examination Survey (NHANES). Methods Using data from the NHANES 2011-2014, we conducted logistic regression models to investigate the relation between the predicted LBM and domain-specific cognitive function assessed by Digit Symbol Substitution Test (DSST), Consortium to Establish a Registry for Alzheimer's Disease Word Learning test (CERAD-WL) and Delayed Recall test (CERAD-DR), and Animal Fluency (AF) for information processing speed, memory, and executive function, respectively. Cognitive impairment was defined as the lowest quartile of each cognitive test in the total population. Sex-stratified analysis was further made. Results A total of 2955 participants aged 60 and above (mean [SD] age, 69.17[0.20] years; 1511 female [51.13%]) were included in the study. After being adjusted for social economic factors, anthropometric parameters, and diseases, we found a positive association between predicted LBM and information processing speed (Odds ratio of DSST impairment= 0.95, 95%CI= 0.91 to 0.99) regardless of body mass index and sex. Compared with patients in the first quartile of predicted LBM, those in the fourth quartile had an odds ratio of 0.355 (95% confidence interval 0.153-0.822) for DSST impairment. No significant relation in other cognitive tests and predicted LBM was found whether stratified by sex or not. Conclusion Our findings point to the association between predicted lean body mass and cognitive dysfunction in information processing speed, which could be used for early detection and prevention of deterioration of cognitive function among older adults.
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Affiliation(s)
- Hong-Jian Gong
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Xingyao Tang
- Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yin-He Chai
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yu-Shun Qiao
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Hui Xu
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Ikramulhaq Patel
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Jin-Yan Zhang
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Jian-Bo Zhou
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
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Huang X, Tan CS, Kandiah N, Hilal S. Association of physical activity with dementia and cognitive decline in UK Biobank. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12476. [PMID: 37671035 PMCID: PMC10476274 DOI: 10.1002/dad2.12476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 07/20/2023] [Accepted: 08/08/2023] [Indexed: 09/07/2023]
Abstract
INTRODUCTION There is a lack of studies on the association between specific physical activity (PA) types and dementia. We examined the association of leisure time physical activity (LTPA), occupational physical activity (OPA), and sedentary lifestyle with dementia risk and cognitive decline using the UK-Biobank study. METHODS Baseline PA was collected using questionnaires. A total of 502,481 dementia-free participants were recruited in 2006-2010 and followed for 10 years until the end of 2020 for the ascertainment of dementia. Associations of PA with incident dementia and cognitive decline were examined. RESULTS Higher levels of LTPA and OPA and lower levels of sedentary hours were associated with lower dementia risk. The fifth quintiles of LTPA (hazard ratio [HR] = 0.53, 95% confidence interval [CI]: 0.43-0.67) and OPA (HR = 0.68, 95% CI:0.51-0.90) had lower dementia risk, whereas the fifth quintile of sedentary lifestyle had higher dementia risk (HR = 1.23, 95% CI:1.08-1.41). DISCUSSION Our findings suggest the promotion of an active lifestyle suggested to be preventive of dementia risk. This research has been conducted using the UK Biobank Resource under Application Number 71022.
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Affiliation(s)
- Xiangyuan Huang
- Saw Swee Hock School of Public HealthNational University of Singapore and National University Health SystemSingaporeSingapore
| | - Chuen Seng Tan
- Saw Swee Hock School of Public HealthNational University of Singapore and National University Health SystemSingaporeSingapore
| | - Nagaendran Kandiah
- Dementia Research CentreLee Kong Chian School of MedicineSingaporeSingapore
| | - Saima Hilal
- Saw Swee Hock School of Public HealthNational University of Singapore and National University Health SystemSingaporeSingapore
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
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14
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Nguyen S, LaCroix AZ, Hayden KM, Di C, Palta P, Stefanick ML, Manson JE, Rapp SR, LaMonte MJ, Bellettiere J. Accelerometer-measured physical activity and sitting with incident mild cognitive impairment or probable dementia among older women. Alzheimers Dement 2023; 19:3041-3054. [PMID: 36695426 PMCID: PMC10366337 DOI: 10.1002/alz.12908] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 11/14/2022] [Accepted: 11/17/2022] [Indexed: 01/26/2023]
Abstract
INTRODUCTION Physical activity (PA) is prospectively inversely associated with dementia risk, but few studies examined accelerometer measures of PA and sitting with rigorously-adjudicated mild cognitive impairment (MCI) and dementia risk. METHODS We examined the associations of accelerometer measures (PA and sitting) with incident MCI/probable dementia in the Women's Health Initiative (n = 1277; mean age = 82 ± 6 years) RESULTS: Over a median follow-up of 4.2 years, 267 MCI/probable dementia cases were identified. Adjusted Cox regression HRs (95% CI) across moderate-to-vigorous PA (MVPA) min/d quartiles were 1.00 (reference), 1.28 (0.90 to 1.81), 0.79 (0.53 to 1.17), and 0.69 (0.45 to 1.06); P-trend = 0.01. Adjusted HRs (95% CI) across steps/d quartiles were 1.00 (reference), 0.73 (0.51 to 1.03), 0.64 (0.43 to 0.94), and 0.38 (0.23 to 0.61); P-trend < 0.001. The HR (95% CI) for each 1-SD increment in MVPA (31 min/d) and steps/d (1865) were 0.79 (0.67 to 0.94) and 0.67 (0.54 to 0.82), respectively. Sitting was not associated with MCI/probable dementia. DISCUSSION Findings suggest ≥ moderate intensity PA, particularly stepping, associates with lower MCI and dementia risk. HIGHLIGHTS Few studies have examined accelerometer-measured physical activity, including steps, and sitting with incident ADRD. Moderate-to-vigorous physical activity and steps, but not light physical activity or sitting, were inversely associated with lower ADRD risk. Among older women, at least moderate intensity physical activity may be needed to reduce ADRD risk.
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Affiliation(s)
- Steve Nguyen
- Division of Epidemiology, Herbert Wertheim School of Public Health, University of California San Diego, La Jolla, CA, USA
| | - Andrea Z. LaCroix
- Division of Epidemiology, Herbert Wertheim School of Public Health, University of California San Diego, La Jolla, CA, USA
| | - Kathleen M. Hayden
- Department of Social Sciences & Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Chongzhi Di
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Priya Palta
- Departments of Medicine and Epidemiology, Columbia University Irving Medical Center, New York, NY, USA
| | - Marcia L. Stefanick
- Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - JoAnn E. Manson
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Stephen R. Rapp
- Department of Psychiatry & Behavioral Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Michael J. LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo - SUNY, Buffalo, NY, USA
| | - John Bellettiere
- Division of Epidemiology, Herbert Wertheim School of Public Health, University of California San Diego, La Jolla, CA, USA
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15
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Hwang J, Choe YM, Suh GH, Lee BC, Choi IG, Lee JH, Kim HS, Kim SG, Yi D, Kim JW. Spicy food intake predicts Alzheimer-related cognitive decline in older adults with low physical activity. Sci Rep 2023; 13:7942. [PMID: 37193785 PMCID: PMC10188510 DOI: 10.1038/s41598-023-35234-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 05/15/2023] [Indexed: 05/18/2023] Open
Abstract
A plausible association exists among spicy food consumption, physical activity, and Alzheimer's disease (AD) or cognitive decline, but it remains poorly investigated. We aimed to examined the association between spicy food and AD-related memory decline or global cognitive decline in older adults under the moderating effect of physical activity. Total 196 non-demented older adults were included. Participants underwent comprehensive dietary and clinical assessments including spicy food intake, AD-related memory, global cognition, and physical activity. The strength of spicy food was stratified into three categories: 'not spicy' (reference), 'low spiciness', and 'high spiciness'. Multiple linear regression analyses were performed to examine the relationships between spicy level and cognition. The spicy level was the independent variable in each analysis; it was entered as a stratified categorical variable using the three categories. We found a significant association between a high level of spiciness in food and decreased memory ([Formula: see text] - 0.167, p < 0.001) or global cognition ([Formula: see text] - 0.122, p = 0.027), but not non-memory cognition. To explore the moderating effects of age, sex, apolipoprotein E ε4 allele-positivity, vascular risk score, body mass index, and physical activity on the associations between spicy level and memory or global cognition, the same regression analyses were repeated including two-way interaction terms between the spicy level and each of the six variables as an additional independent variable. An interactive effect was detected between a high level of spiciness in food and physical activity on the memory ([Formula: see text] 0.209, p = 0.029) or global cognition ([Formula: see text] 0.336, p = 0.001). Subgroup analyses showed that the association between a high level of spiciness in food and a lower memory ([Formula: see text] - 0.254, p < 0.001) and global score ([Formula: see text] - 0.222, p = 0.002) was present only in older adults with low physical activity, but not in older adults with high physical activity. Our findings suggest that spicy food intake is predictive of AD-related cognitive decline, i.e., episodic memory; this relationship is worsened by physically inactive lifestyle.
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Affiliation(s)
- Jaeuk Hwang
- Department of Psychiatry, Soonchunhyang University Hospital Seoul, Seoul, 04401, Republic of Korea
| | - Young Min Choe
- Department of Neuropsychiatry, Hallym University Dongtan Sacred Heart Hospital, 7 Keunjaebong-gil, Hwaseong-si, Gyeonggi-do, 18450, Republic of Korea
- Department of Psychiatry, Hallym University College of Medicine, Chuncheon, Gangwon, 24252, Republic of Korea
| | - Guk-Hee Suh
- Department of Neuropsychiatry, Hallym University Dongtan Sacred Heart Hospital, 7 Keunjaebong-gil, Hwaseong-si, Gyeonggi-do, 18450, Republic of Korea
- Department of Psychiatry, Hallym University College of Medicine, Chuncheon, Gangwon, 24252, Republic of Korea
| | - Boung Chul Lee
- Department of Psychiatry, Hallym University College of Medicine, Chuncheon, Gangwon, 24252, Republic of Korea
- Department of Neuropsychiatry, Hallym University Hangang Sacred Heart Hospital, Seoul, 07247, Republic of Korea
| | - Ihn-Geun Choi
- Department of Psychiatry, Hallym University College of Medicine, Chuncheon, Gangwon, 24252, Republic of Korea
- Department of Psychiatry, Seoul W Psychiatric Office, Seoul, 07247, Republic of Korea
| | - Jun Ho Lee
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, 03080, Republic of Korea
| | - Hyun Soo Kim
- Department of Laboratory Medicine, Hallym University Dongtan Sacred Heart Hospital, 7 Keunjaebong-gil, Hwaseong-si, Gyeonggi-do, 18450, Republic of Korea
| | - Shin Gyeom Kim
- Department of Neuropsychiatry, Soonchunhyang University Bucheon Hospital, Bucheon, 14584, Republic of Korea
| | - Dahyun Yi
- Institute of Human Behavioral Medicine, Medical Research Center, Seoul National University, Seoul, 03080, Republic of Korea
| | - Jee Wook Kim
- Department of Neuropsychiatry, Hallym University Dongtan Sacred Heart Hospital, 7 Keunjaebong-gil, Hwaseong-si, Gyeonggi-do, 18450, Republic of Korea.
- Department of Psychiatry, Hallym University College of Medicine, Chuncheon, Gangwon, 24252, Republic of Korea.
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Kim J, Ko M, Lee J, Kim Y. The effects of a mobile-based multi-domain intervention on cognitive function among older adults. Prev Med Rep 2023; 32:102165. [PMID: 36942284 PMCID: PMC10023949 DOI: 10.1016/j.pmedr.2023.102165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 02/20/2023] [Accepted: 02/21/2023] [Indexed: 03/02/2023] Open
Abstract
Behavioral and social research has stressed the importance of multi-domain lifestyle interventions to prevent, delay, or remedy age-related cognitive decline among older adults at high risk for dementia. In light of the benefits of multi-domain interventions, some studies demonstrate the effectiveness of a mobile-based program for dementia prevention. Unfortunately, there is limited evidence of whether or not a mobile application of a multi-domain program is effective in improving cognitive functioning among older adults who are a high risk for dementia. Thus, the purpose of this study was to determine whether there was a pre-post change of cognition and there were age-group differences in pre-post change after the 12 weeks multi-domain program, Silvia program (N = 59). The Silvia program consisted of five domains, including (a)daily smart routine, (b)cognitive training, (c)lifestyle monitoring, (d)home-based exercise, and (e)voice-based AI cognitive assessment. Using a paired t-test and analysis of variance, this study found that there was a significant mean difference in cognitive function scores between pre and post-intervention (95 % CI = 1.10-1.87, P <.05). The difference score in cognitive function was higher in the old-old group than in the young-old group (95 % CI = -2.29-0.10, p <.05). The findings of this study demonstrated that Silvia program was effective in promoting cognitive function among older Korean adults, especially for the old-old group.
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Affiliation(s)
- Junhyoung Kim
- Department of Health & Wellness Design, School of Public Health, Indiana University Bloomington, IN, United States
| | - Myungjin Ko
- School of Medicine, Seoul National University, Seoul, South Korea
- Silvia Health Inc. Seoul, South Korea
- Corresponding author at: Silvia Health Inc. Seoul, South Korea.
| | - Jungjoo Lee
- Department of Health & Wellness Design, School of Public Health, Indiana University Bloomington, IN, United States
| | - Yongseop Kim
- Department of Health & Wellness Design, School of Public Health, Indiana University Bloomington, IN, United States
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17
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Mahinrad S, Sorond F, Gorelick PB. The Role of Vascular Risk Factors in Cognitive Impairment and Dementia and Prospects for Prevention. Clin Geriatr Med 2023; 39:123-134. [PMID: 36404025 PMCID: PMC11806923 DOI: 10.1016/j.cger.2022.07.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
One of the most challenging clinical expressions of population aging is cognitive impairment and dementia. Among risk factors for the development of dementia, modifiable vascular risk factors have emerged as contributors to both vascular and nonvascular types of dementia. Epidemiologic studies have been particularly informative in understanding the link between vascular risks and dementia across the life course. We discuss vascular risks for dementia and cognitive impairment and practical management recommendations.
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Affiliation(s)
- Simin Mahinrad
- Department of Neurology, Northwestern University, Feinberg School of Medicine, 625 N. Michigan Avenue, 11th Floor, Suite 1150, Chicago, IL 60611, USA.
| | - Farzaneh Sorond
- Department of Neurology, Northwestern University, Feinberg School of Medicine, 625 N. Michigan Avenue, 11th Floor, Suite 1150, Chicago, IL 60611, USA
| | - Philip B Gorelick
- Department of Neurology, Northwestern University, Feinberg School of Medicine, 625 N. Michigan Avenue, 11th Floor, Suite 1150, Chicago, IL 60611, USA
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Zhang W, Feng Q, Fong JH, Chen H. Leisure Participation and Cognitive Impairment Among Healthy Older Adults in China. Res Aging 2023; 45:185-197. [PMID: 35422158 DOI: 10.1177/01640275221082151] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Leisure participation is beneficial to various health outcomes. This study examined a comprehensive list of leisure activities in relation to incidence of cognitive impairment among healthy older adults (65+) in China. Using data from the 2002 to 2018 Chinese Longitudinal Healthy Longevity Survey, we found that most of the leisure activities were protective of cognitive decline and three leisure activities (watching TV, doing housework, and playing cards/mah-jong) stood out as the most important ones. Additionally, our results revealed subgroup variations in the association between leisure participation and cognitive function: Leisure activities such as reading newspapers/books (not significant for the illiterate), gardening (not significant for the illiterate), and regular exercise (not significant for the rural residents) had different effects across different demographic social groups. Our findings suggest that intervention programs designed to prevent cognitive decline for older adults should consider subgroup and cultural variations in order to yield the best outcomes.
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Affiliation(s)
- Wei Zhang
- Department of Sociology, 3949University of Hawai'i at Mānoa, Honolulu, HI, USA
| | - Qiushi Feng
- Department of Sociology & Centre for Family and Population Research, 37580National University of Singapore, Singapore
| | - Joelle H Fong
- Lee Kuan Yew School of Public Policy, 37580National University of Singapore, Singapore
| | - Huashuai Chen
- School of Business, 12665Xiangtan University, Xiangtan, China
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19
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Rognoni T, Fernández-Matarrubia M, Martinez-González MÁ, Salas-Salvadó J, Corella D, Castañer O, Martínez JA, Alonso-Gómez ÁM, Gómez-Gracia E, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Santos-Lozano JM, Serra-Majem L, Cano Ibañez N, Tur JA, Micó Pérez R, Pintó X, Delgado-Rodríguez M, Ortiz Ramos M, Vidal J, Vázquez C, Daimiel L, Ros E, Goñi-Ruiz N, Babio N, Sorlí JV, Schröder H, García-Rios A, Compañ-Gabucio L, Warnberg J, Zulet MÁ, Chaplin A, Sacanella E, Bouzalmate-Hajjaj A, Tojal-Sierra L, Damas-Fuentes M, Vázquez Z, Gómez-Martínez C, Saiz C, Malcampo M, Ortiz-Morales AM, Martínez-Avilés V, García-Gavilan J, Abete I, Fitó M, Toledo E. Two-Year Changes in Physical Activity and Concurrent Changes in Cognitive Function in a Cohort of Adults with Metabolic Syndrome. J Alzheimers Dis 2023; 95:887-899. [PMID: 37661880 DOI: 10.3233/jad-230105] [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: 09/05/2023]
Abstract
BACKGROUND It has been proposed that physical activity (PA) could prevent cognitive decline. OBJECTIVE To evaluate the association between changes in PA and changes in cognitive function in a cohort of adults with metabolic syndrome. METHODS Longitudinal observational study including 5,500 adults (mean age 65 years, SD = 5; women = 49.3% ) with metabolic syndrome. Participants underwent physical activity measurements and cognitive evaluation at baseline and at two-years of follow-up. PA was quantified using the Minnesota questionnaire-shortened version. Cognitive function was evaluated using a battery of tests: Mini-Mental Test Examination, Clock Drawing Test, Trail Making Test A and B, Verbal Fluency Test, and Digit Span. The primary outcome was two-year change in cognition, measured through the Global Composite Score (GCS) of all neuropsychological tests. Multivariable-adjusted linear regression models were fitted with baseline PA and their changes as the main exposures and changes in cognitive function as the outcome. RESULTS No significant association was found between PA levels (or their changes) in the GCS of cognitive function. A greater increase in PA levels was associated with a more favorable two-year change in the Trail Making Test A (Q4 versus Q1: b = - 2.24s, 95% CI -4.36 to -0.12s; p-trend = 0.020). No significant association was found for other neuropsychological test. CONCLUSION Our results do not support an association between increases in PA and the evolution of the global cognitive function at two-year in an intervention trial which included PA promotion in one of its two randomized arms, but they suggested a possible beneficial effect of PA on attentional function in older adults.
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Affiliation(s)
- Teresa Rognoni
- Department of Neurology, Clínica Universidad de Navarra, Madrid, Spain
| | | | - Miguel Ángel Martinez-González
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Vigili, Department de Bioquímica i Biotecnología, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere i Virgili (IISPV), Hospital San Joan de Reus, Reus, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Olga Castañer
- Cardiovascular Risk and Nutrition, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Enrique Gómez-Gracia
- Department of Preventive Medicine and Public Health, Instituto de Investigación Biomédica de Málaga-IBIMA, School of Medicine, University of Málaga, Málaga, Spain
| | - Jesús Vioque
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH).Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), HealthResearch Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | - Ramón Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut de I'nvestigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - José Manuel Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Lluis Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria and Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Naomi Cano Ibañez
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands-IUNICS, Palma de Mallorca, Spain
| | - Rafael Micó Pérez
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Spain
| | - Miguel Delgado-Rodríguez
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Division of Preventive Medicine, Faculty of Medicine, University of Jaén, Jaén, Spain
| | - María Ortiz Ramos
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Fundación Jiménez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autónoma, Madrid, Spain
| | - Lidia Daimiel
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
- Departamento de Ciencias Farmacéuticas y de la Salud, Faculty de Farmacia, Universidad San Pablo-CEU, CEU Universities, Boadilla del Monte, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Nuria Goñi-Ruiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Servicios de Atención Primaria, Navarra Regional Health Service (Osasunbidea), Pamplona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Vigili, Department de Bioquímica i Biotecnología, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere i Virgili (IISPV), Hospital San Joan de Reus, Reus, Spain
| | - José V Sorlí
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Helmut Schröder
- Cardiovascular Risk and Nutrition, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - Antonio García-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | - Laura Compañ-Gabucio
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH).Alicante, Spain
| | - Julia Warnberg
- Department of Nursing, School of Health Sciences University of Malaga, Spain
- Instituto de Investigación Biomédica de Málaga-IBIMA, Málaga, Spain
| | - M Ángeles Zulet
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Alice Chaplin
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), HealthResearch Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Emilio Sacanella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut de I'nvestigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Amira Bouzalmate-Hajjaj
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Miguel Damas-Fuentes
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - Zenaida Vázquez
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Carlos Gómez-Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Vigili, Department de Bioquímica i Biotecnología, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere i Virgili (IISPV), Hospital San Joan de Reus, Reus, Spain
| | - Carmen Saiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Mireia Malcampo
- Cardiovascular Risk and Nutrition, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Ana M Ortiz-Morales
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | | | - Jesús García-Gavilan
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Vigili, Department de Bioquímica i Biotecnología, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere i Virgili (IISPV), Hospital San Joan de Reus, Reus, Spain
| | - Itziar Abete
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Cardiovascular Risk and Nutrition, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Estefanía Toledo
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
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20
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Su S, Shi L, Zheng Y, Sun Y, Huang X, Zhang A, Que J, Sun X, Shi J, Bao Y, Deng J, Lu L. Leisure Activities and the Risk of Dementia: A Systematic Review and Meta-analysis. Neurology 2022; 99:e1651-e1663. [PMID: 35948447 PMCID: PMC9559944 DOI: 10.1212/wnl.0000000000200929] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Accepted: 05/19/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Leisure activities are major components of modifiable and healthy lifestyles and are proposed to help prevent the development of dementia. This study aimed to assess the effects of different types of leisure activities, including cognitive, physical, and social activities, on the incidence of all-cause dementia (ACD), Alzheimer disease (AD), and vascular dementia (VD). METHODS We performed a systematic review and meta-analysis of the Cochrane, PubMed, Embase, and Web of Science databases to identify longitudinal studies that examined associations between leisure activities and dementia. Relative risks (RRs) and 95% CIs were pooled using random-effects meta-analysis. Subgroup analyses were used to estimate potential effect modifiers. The study was registered with PROSPERO (CRD42019116857). RESULTS A total of 38 longitudinal studies, with 2,154,818 participants at baseline, 74,700 ACD cases, 2,848 AD cases, and 1,423 VD cases during follow-up, were included in the meta-analysis. The subgroup analyses showed that physical (RR 0.83, 95% CI 0.78-0.88), cognitive (RR 0.77; 95% CI 0.68-0.87), and social (RR 0.93; 95% CI 0.87-0.99) activities were associated with a decreased incidence of ACD. In addition, physical (RR 0.87; 95% CI 0.78-0.96) and cognitive (RR 0.66; 95% CI 0.52-0.85) activities were related to a reduced risk of AD. Physical activity (RR 0.67; 95% CI 0.53-0.85) was associated with a lower incidence of VD. DISCUSSION Our findings suggest that leisure activities are inversely associated with a risk of ACD, AD, and VD.
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Affiliation(s)
- Sizhen Su
- From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China
| | - Le Shi
- From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China
| | - Yongbo Zheng
- From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China
| | - Yankun Sun
- From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China
| | - Xiaolin Huang
- From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China
| | - Anyi Zhang
- From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China
| | - Jianyu Que
- From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China
| | - Xinyu Sun
- From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China
| | - Jie Shi
- From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China
| | - Yanping Bao
- From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China.
| | - Jiahui Deng
- From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China
| | - Lin Lu
- From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China
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21
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Tari AR, Selbæk G, Franklin BA, Bergh S, Skjellegrind H, Sallis RE, Bosnes I, Stordal E, Ziaei M, Lydersen S, Kobro-Flatmoen A, Huuha AM, Nauman J, Wisløff U. Temporal changes in personal activity intelligence and the risk of incident dementia and dementia related mortality: A prospective cohort study (HUNT). EClinicalMedicine 2022; 52:101607. [PMID: 36034407 PMCID: PMC9403490 DOI: 10.1016/j.eclinm.2022.101607] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 07/18/2022] [Accepted: 07/20/2022] [Indexed: 10/26/2022] Open
Abstract
BACKGROUND The Personal Activity Intelligence (PAI) translates heart rate during daily activity into a weekly score. Obtaining a weekly PAI score ≥100 is associated with reduced risk of premature morbidity and mortality from cardiovascular diseases. Here, we determined whether changes in PAI score are associated with changes in risk of incident dementia and dementia-related mortality. METHODS We conducted a prospective cohort study of 29,826 healthy individuals. Using data from the Trøndelag Health-Study (HUNT), PAI was estimated 10 years apart (HUNT1 1984-86 and HUNT2 1995-97). Adjusted hazard-ratios (aHR) and 95%-confidence intervals (CI) for incidence of and death from dementia were related to changes in PAI using Cox regression analyses. FINDINGS During a median follow-up time of 24.5 years (interquartile range [IQR]: 24.1-25.0) for dementia incidence and 23.6 years (IQR: 20.8-24.2) for dementia-related mortality, there were 1998 incident cases and 1033 dementia-related deaths. Individuals who increased their PAI score over time or maintained a high PAI score at both assessments had reduced risk of dementia incidence and dementia-related mortality. Compared with persistently inactive individuals (0 weekly PAI) at both time points, the aHRs for those with a PAI score ≥100 at both occasions were 0.75 (95% CI: 0.58-0.97) for incident dementia, and 0.62 (95% CI: 0.43-0.91) for dementia-related mortality. Using PAI score <100 at both assessments as the reference cohort, those who increased from <100 at HUNT1 to ≥100 at HUNT2 had aHR of 0.83 (95% CI: 0.72-0.96) for incident dementia, and gained 2.8 (95% CI: 1.3-4.2, P<0.0001) dementia-free years. For dementia-related mortality, the corresponding aHR was 0.74 (95% CI: 0.59-0.92) and years of life gained were 2.4 (95% CI: 1.0-3.8, P=0.001). INTERPRETATION Maintaining a high weekly PAI score and increases in PAI scores over time were associated with a reduced risk of incident dementia and dementia-related mortality. Our findings extend the scientific evidence regarding the protective role of PA for dementia prevention, and suggest that PAI may be a valuable tool in guiding research-based PA recommendations. FUNDING The Norwegian Research Council, the Liaison Committee between the Central Norway Regional Health Authority and Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
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Affiliation(s)
- Atefe R. Tari
- Cardiac Exercise Research Group at Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Neurology, St. Olav's Hospital, Trondheim, Norway
| | - Geir Selbæk
- Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
- Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway
- Research Centre for Age-related Functional Decline and Disease, Innlandet Hospital Trust, Ottestad, Norway
| | - Barry A. Franklin
- Healthy Living for Pandemic Event Protection (HL-PIVOT) Network, Chicago, IL, USA
- Preventive Cardiology and Cardiac Rehabilitation, William Beaumont Hospital, Royal Oak, MI, USA
- Oakland University William Beaumont School of Medicine, Rochester, MI, USA
| | - Sverre Bergh
- Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
- Research Centre for Age-related Functional Decline and Disease, Innlandet Hospital Trust, Ottestad, Norway
| | - Håvard Skjellegrind
- Department of Public Health and Nursing, HUNT Research Centre, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Robert E. Sallis
- Department of Family Medicine, Kaiser Permanente Medical Center, Fontana, CA, USA
| | - Ingunn Bosnes
- Clinic for Mental Health and Substance Abuse, Namsos Hospital, Nord-Trøndelag Hospital Trust, Namsos, Norway
- Department of Mental Health, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Eystein Stordal
- Clinic for Mental Health and Substance Abuse, Namsos Hospital, Nord-Trøndelag Hospital Trust, Namsos, Norway
- Department of Mental Health, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Maryam Ziaei
- Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
- Jebsen Centre for Alzheimer's Diseases, Norwegian University of Science and Technology, Trondheim, Norway
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
| | - Stian Lydersen
- Regional Centre for Child and Youth Mental Health and Child Welfare, Norwegian University of Science and Technology, Trondheim, Norway
| | - Asgeir Kobro-Flatmoen
- Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
- Jebsen Centre for Alzheimer's Diseases, Norwegian University of Science and Technology, Trondheim, Norway
| | - Aleksi M. Huuha
- Cardiac Exercise Research Group at Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Neurology, St. Olav's Hospital, Trondheim, Norway
| | - Javaid Nauman
- Cardiac Exercise Research Group at Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Healthy Living for Pandemic Event Protection (HL-PIVOT) Network, Chicago, IL, USA
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
| | - Ulrik Wisløff
- Cardiac Exercise Research Group at Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Healthy Living for Pandemic Event Protection (HL-PIVOT) Network, Chicago, IL, USA
- School of Human Movement & Nutrition Sciences, University of Queensland, Australia
- Corresponding author at: Cardiac Exercise Research Group at the Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim 7491, Norway.
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22
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Jongenelis MI, Jackson B, Newton RU, Pettigrew S. Likeability and perceived effectiveness of messages designed to encourage physical activity participation among older adults. Health Promot J Austr 2022; 33 Suppl 1:266-270. [PMID: 35119157 PMCID: PMC9790198 DOI: 10.1002/hpja.578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 01/17/2022] [Accepted: 01/31/2022] [Indexed: 12/30/2022] Open
Abstract
ISSUE ADDRESSED Older adults are significantly less likely than their younger counterparts to engage in physical activity. Comprehensive policies to support healthy ageing thus need to include components encouraging greater participation in physical activity in later life. This study tested potential messages for use in health communication campaigns aimed at increasing physical activity among older adults. METHODS Twelve written messages designed to encourage older adults to increase their levels of physical activity were rated by Australians aged 60-92 years (n = 369; 54% female) on the variables of likeability and perceived effectiveness. RESULTS Ratings for all the tested messages were high across both outcome variables. The message Move more, live longer scored most favourably, with large majorities of participants liking this message (87%) and considering it effective (81%). Messages featuring rhyming or alliteration were rated significantly higher on both outcomes than messages without these attributes (all Ps < .001). CONCLUSIONS Results provide insights into the types of messages that are likely to be accepted by older adults. Statements that use the phonological patterns of rhyming or alliteration are likely to be especially well received. SO WHAT?: Increasing participation in physical activity among older adults is critical to promoting the sustainability of health care systems and enhancing quality of life. The specific messaging attributes identified in the present study as being effective could be used by public health practitioners to inform their approach to physical activity messaging to older adults and incorporated into future health communication campaigns to increase their potential effectiveness with this target group.
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Affiliation(s)
- Michelle I. Jongenelis
- Melbourne Centre for Behaviour ChangeMelbourne School of Psychological SciencesUniversity of MelbourneParkvilleVictoriaAustralia
| | - Ben Jackson
- School of Human Sciences (Exercise and Sports Science)The University of Western AustraliaPerthWestern AustraliaAustralia,Telethon Kids InstitutePerthWestern AustraliaAustralia
| | - Robert U. Newton
- School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
| | - Simone Pettigrew
- The George Institute for Global HealthUniversity of New South WalesNewtownNew South WalesAustralia
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23
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Liao Q, He J, Huang K. Physical activities and risk of neurodegenerative diseases: A two-sample Mendelian randomization study. Front Aging Neurosci 2022; 14:991140. [PMID: 36212040 PMCID: PMC9541335 DOI: 10.3389/fnagi.2022.991140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 09/08/2022] [Indexed: 11/17/2022] Open
Abstract
Objectives Physical activity (PA) is considered beneficial in slowing the progression and improving the neurodegenerative disease prognosis. However, the association between PA and neurodegenerative diseases remains unknown. In this study, we conducted a two-sample Mendelian randomization (MR) analysis to estimate the causal association between PA phenotypes and neurodegenerative diseases. Materials and methods Genetic variants robustly associated with PA phenotypes, used as instrumental variables, were extracted from public genome-wide association study (GWAS) summary statistics. Neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS), Parkinson's disease (PD), and Alzheimer's disease (AD), were considered outcomes. GWAS information was also obtained from the most recent large population study of individuals with European ancestry. Multiple MR methods, pleiotropy tests and sensitivity analyses were performed to obtain a robust and valid estimation. Results We found a positive association between moderate-to-vigorous physical activities and ALS based on the inverse variance weighted MR analysis method (OR: 2.507, 95% CI: 1.218-5.160, p = 0.013). The pleiotropy test and sensitivity analysis confirmed the robustness and validity of these MR results. No causal effects of PA phenotypes were found on PD and AD. Conclusion Our study indicates a causal effect of PA on the risk of neurodegenerative diseases. Genetically predicted increases in self-reported moderate-to-vigorous PA participation could increase the risk of ALS in individuals of European ancestry. Precise and individualized prescriptions of physical activity should be provided to the elderly population.
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Affiliation(s)
- Qiao Liao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Jian He
- Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Kun Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
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24
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Kim J, Lee J, Ko MJ, Min Oh S. Leisure, Mental Health, and Life Satisfaction among Older Adults with Mild Cognitive Impairment. Am J Health Behav 2022; 46:477-487. [PMID: 36109858 DOI: 10.5993/ajhb.46.4.8] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Objectives: Little research has investigated the relationship between types of leisure activities and mental health outcomes among older adults with mild cognitive impairment (MCI). The purpose of this study was to investigate how certain leisure activities are associated with life satisfaction, anxiety, loneliness, happiness, and positive and negative affect. Methods: In this study, we used the 2020 Health and Retirement Study Core Early data and conducted a hierarchical regression analysis to investigate the different effects of the 3 types of leisure activities on the mental health of older adults with MCI (N=901). Results: We found that leisure-time physical activity was the strongest predictor of enhanced life satisfaction, positive affect, and happiness, and reduced anxiety and loneliness. In addition, sedentary leisure was associated with reduced anxiety and loneliness and increased happiness. Conclusions: These findings suggest that engagement in leisure-time physical activity and sedentary leisure can be instrumental in promoting the life satisfaction and mental health of older adults with mild cognitive impairment.
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Affiliation(s)
- Junhyoung Kim
- Junhyoung Kim, Department of Health & Wellness Design, Indiana University, Bloomington IN, United States
| | - Jungjoo Lee
- Jungjoo, Department of Health & Wellness Design, Indiana University, Bloomington, IN, United States
| | - Myung Jin Ko
- Myungjin Ko, Student, College of Medicine, Seoul National University, Seoul, South Korea, and Co-founder/CEO, Silvia Health;,
| | - Seok Min Oh
- Seok Min Oh, Department of Health & Wellness Design, Indiana University, Bloomington, IN, United States
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25
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Dooley EE, Palta P, Wolff-Hughes DL, Martinez-Amezcua P, Staudenmayer J, Troiano RP, Gabriel KP. Higher 24-h Total Movement Activity Percentile Is Associated with Better Cognitive Performance in U.S. Older Adults. Med Sci Sports Exerc 2022; 54:1317-1325. [PMID: 35389933 PMCID: PMC9288525 DOI: 10.1249/mss.0000000000002927] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
PURPOSE This study aimed to assess the association of a wrist-worn, device-based metric of 24-h movement with cognitive function and subjective cognitive complaints among older adults, 60 yr and older. METHODS This is a cross-sectional analysis of the 2011-2012 and 2013-2014 National Health and Nutrition Examination Survey (NHANES) cycles. A wrist-worn ActiGraph GT3X+ accelerometer captured total 24-h movement activity, analyzed as Monitor-Independent Movement Summary units (MIMS-units), and quantified into placement based on an age- and sex-standardized percentile. Cognitive tests in the domains of memory, language/verbal fluency, and executive performance were administered. Test-specific cognitive z -scores were generated. Subjective cognitive complaints included perceived difficulty remembering and confusion/memory loss. RESULTS The analytical sample included 2708 U.S. older adults (69.5 ± 0.2 yr, 55% female, 20.9% non-White). Multivariable linear regressions revealed those in quartiles 3 (50th-74th percentile) and 4 (≥75th percentile) for their age and sex had higher cognitive function z -scores across all domains compared with those in quartile 1. Logistic regressions demonstrated those in quartiles 3 and 4 also had lower odds of reporting difficulty remembering (adjusted odds ratio [AOR] = 0.52, 95% confidence interval [CI] = 0.31-0.89; AOR = 0.57, 95% CI = 0.37-0.88) and confusion/memory loss (AOR = 0.49, 95% CI = 0.27-0.91; AOR = 0.49, 95% CI = 0.27-0.98), respectively, compared with those in quartile 1. CONCLUSIONS In a representative sample of U.S. older adults, higher cognitive functioning occurs among those that perform total 24-h movement activity at or above the 50th percentile for their age and sex. Future studies should consider movement behaviors across a 24-h period on cognitive health outcomes in older adults. More research exploring prospective associations of MIMS-units and time-use behaviors across midlife and older adulthood that may affect cognitive functioning across diverse populations is needed.
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Affiliation(s)
- Erin E. Dooley
- Department of Epidemiology, The University of Alabama at Birmingham, Birmingham, AL
| | - Priya Palta
- Division of General Medicine, Columbia University Irving Medical Center, New York, NY
| | - Dana L. Wolff-Hughes
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD
| | | | - John Staudenmayer
- Department of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, MA
| | - Richard P. Troiano
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD
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26
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Iso-Markku P, Kujala UM, Knittle K, Polet J, Vuoksimaa E, Waller K. Physical activity as a protective factor for dementia and Alzheimer's disease: systematic review, meta-analysis and quality assessment of cohort and case-control studies. Br J Sports Med 2022; 56:701-709. [PMID: 35301183 PMCID: PMC9163715 DOI: 10.1136/bjsports-2021-104981] [Citation(s) in RCA: 160] [Impact Index Per Article: 53.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/20/2022] [Indexed: 01/20/2023]
Abstract
Objective Physical activity (PA) is associated with a decreased incidence of dementia, but much of the evidence comes from short follow-ups prone to reverse causation. This meta-analysis investigates the effect of study length on the association. Design A systematic review and meta-analysis. Pooled effect sizes, dose–response analysis and funnel plots were used to synthesise the results. Data sources CINAHL (last search 19 October 2021), PsycInfo, Scopus, PubMed, Web of Science (21 October 2021) and SPORTDiscus (26 October 2021). Eligibility criteria Studies of adults with a prospective follow-up of at least 1 year, a valid cognitive measure or cohort in mid-life at baseline and an estimate of the association between baseline PA and follow-up all-cause dementia, Alzheimer’s disease or vascular dementia were included (n=58). Results PA was associated with a decreased risk of all-cause dementia (pooled relative risk 0.80, 95% CI 0.77 to 0.84, n=257 983), Alzheimer’s disease (0.86, 95% CI 0.80 to 0.93, n=128 261) and vascular dementia (0.79, 95% CI 0.66 to 0.95, n=33 870), even in longer follow-ups (≥20 years) for all-cause dementia and Alzheimer’s disease. Neither baseline age, follow-up length nor study quality significantly moderated the associations. Dose–response meta-analyses revealed significant linear, spline and quadratic trends within estimates for all-cause dementia incidence, but only a significant spline trend for Alzheimer’s disease. Funnel plots showed possible publication bias for all-cause dementia and Alzheimer’s disease. Conclusion PA was associated with lower incidence of all-cause dementia and Alzheimer’s disease, even in longer follow-ups, supporting PA as a modifiable protective lifestyle factor, even after reducing the effects of reverse causation.
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Affiliation(s)
- Paula Iso-Markku
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland .,HUS Diagnostic Center, Clinical Physiology and Nuclear Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Urho M Kujala
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Keegan Knittle
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Juho Polet
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Eero Vuoksimaa
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Katja Waller
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
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27
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Hu M, Gao Y, Kwok TCY, Shao Z, Xiao LD, Feng H. Derivation and Validation of the Cognitive Impairment Prediction Model in Older Adults: A National Cohort Study. Front Aging Neurosci 2022; 14:755005. [PMID: 35309895 PMCID: PMC8931520 DOI: 10.3389/fnagi.2022.755005] [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: 08/07/2021] [Accepted: 01/18/2022] [Indexed: 11/23/2022] Open
Abstract
Objective This prediction model quantifies the risk of cognitive impairment. This aim of this study was to develop and validate a prediction model to calculate the 6-year risk of cognitive impairment. Methods Participants from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) 2008-2014 and 2011-2018 surveys were included for developing the cognitive impairment prediction model. The least absolute shrinkage and selection operator, clinical knowledge, and previous experience were performed to select predictors. The Cox proportional hazard model and Fine-Gray analysis adjusting for death were conducted to construct the model. The discriminative ability was measured using C-statistics. The model was evaluated externally using the temporal validation method via the CLHLS 2002-2008 survey. A nomogram was conducted to enhance the practical use. The population attributable fraction was calculated. Results A total of 10,053 older adults were included for model development. During a median of 5.68 years, 1,750 (17.4%) participants experienced cognitive impairment. Eight easy-to-obtain predictors were used to develop the model. The overall proportion of death was 43.3%. The effect of age on cognitive impairment reduced after adjusting the competing risk of death. The Cox and Fine-Gray models showed a similar discriminative ability, with average C-statistics of 0.71 and 0.69 in development and external validation datasets, respectively. The model performed better in younger older adults (65-74 years). The proportion of 6-year cognitive impairment due to modifiable risk factors was 47.7%. Conclusion This model could be used to identify older adults aged 65 years and above at high risk of cognitive impairment and initiate timely interventions on modifiable factors to prevent nearly half of dementia.
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Affiliation(s)
- Mingyue Hu
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Yinyan Gao
- Xiangya School of Public Health, Central South University, Changsha, China
| | - Timothy C. Y. Kwok
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Zhanfang Shao
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Lily Dongxia Xiao
- College of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia
| | - Hui Feng
- Xiangya School of Nursing, Central South University, Changsha, China
- Oceanwide Health Management Institute, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
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28
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Erickson KI, Donofry SD, Sewell KR, Brown BM, Stillman CM. Cognitive Aging and the Promise of Physical Activity. Annu Rev Clin Psychol 2022; 18:417-442. [PMID: 35044793 DOI: 10.1146/annurev-clinpsy-072720-014213] [Citation(s) in RCA: 70] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Is the field of cognitive aging irretrievably concerned with decline and deficits, or is it shifting to emphasize the hope of preservation and enhancement of cognitive function in late life? A fragment of an answer comes from research attempting to understand the reasons for individual variability in the extent and rate of cognitive decline. This body of work has created a sense of optimism based on evidence that there are some health behaviors that amplify cognitive performance or mitigate the rate of age-related cognitive decline. In this context, we discuss the role of physical activity on neurocognitive function in late adulthood and summarize how it can be conceptualized as a constructive approach both for the maintenance of cognitive function and as a therapeutic for enhancing or optimizing cognitive function in late life. In this way, physical activity research can be used to shape perceptions of cognitive aging. Expected final online publication date for the Annual Review of Clinical Psychology, Volume 18 is May 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Kirk I Erickson
- Department of Psychology and Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, Pennsylvania, USA; .,Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Perth, Western Australia, Australia.,PROFITH "PROmoting FITness and Health through physical activity" Research Group, Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - Shannon D Donofry
- Department of Psychology and Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, Pennsylvania, USA; .,Psychiatry and Behavioral Health Institute, Allegheny Health Network, Pittsburgh, Pennsylvania
| | - Kelsey R Sewell
- Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Perth, Western Australia, Australia
| | - Belinda M Brown
- Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Perth, Western Australia, Australia
| | - Chelsea M Stillman
- Department of Psychology and Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, Pennsylvania, USA;
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29
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Abstract
Although a relationship between traditional cardiovascular risk factors and stroke has long been recognized, these risk factors likely play a role in other aspects of brain health. Clinical stroke is only the tip of the iceberg of vascular brain injury that includes covert infarcts, white matter hyperintensities, and microbleeds. Furthermore, an individual's risk for not only stroke but poor brain health includes not only these traditional vascular risk factors but also lifestyle and genetic factors. The purpose of this narrative review is to summarize the state of the evidence on traditional and nontraditional vascular risk factors and their contributions to brain health. Additionally, we will review important modifiers that interact with these risk factors to increase, or, in some cases, reduce risk of adverse brain health outcomes, with an emphasis on genes and biomarkers associated with Alzheimer disease. Finally, we will consider the importance of social determinants of health in brain health outcomes.
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Affiliation(s)
- Rebecca F Gottesman
- Stroke Branch, National Institute of Neurological Disorders and Stroke Intramural Research Program, Bethesda, MD (R.F.G.)
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UTHSA, San Antonio, TX (S.S.).,Department of Neurology, Boston University School of Medicine, Boston, MA (S.S.)
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30
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Sohn BK, Byun MS, Yi D, Jeon SY, Lee JH, Choe YM, Lee DW, Lee JY, Kim YK, Sohn CH, Lee DY. Late-Life Physical Activities Moderate the Relationship of Amyloid-β Pathology with Neurodegeneration in Individuals Without Dementia. J Alzheimers Dis 2022; 86:441-450. [PMID: 35068452 PMCID: PMC9210327 DOI: 10.3233/jad-215258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
BACKGROUND Physical activities (PA) have been suggested to reduce the risk of Alzheimer's disease (AD) dementia. However, information on the neuropathological links underlying the relationship is limited. OBJECTIVE We investigated the role of midlife and late-life PA with in vivo AD neuropathologies in old adults without dementia. METHODS This study included participants from the Korean Brain Aging Study for Early Diagnosis and Prediction of Alzheimer's disease (KBASE). The participants underwent comprehensive clinical and neuropsychological assessment, [11C] Pittsburgh Compound B positron emission tomography (PET), [18F] fluorodeoxyglucose PET, and magnetic resonance imaging. Using the multi-modal brain imaging data, in vivo AD pathologies including global amyloid deposition, AD-signature region cerebral glucose metabolism (AD-CM), and AD-signature region cortical thickness (AD-CT) were quantified. Both midlife and late-life PA of participants were measured using the Lifetime Total Physical Activity Questionnaire. RESULTS This study was performed on 260 participants without dementia (195 with normal cognitive function and 65 with mild cognitive impairment). PA of neither midlife nor late-life showed direct correspondence with any neuroimaging biomarker. However, late-life PA moderated the relationship of brain amyloid-β (Aβ) deposition with AD-CM and AD-CT. Aβ positivity had a significant negative effect on both AD-CM and AD-CT in individuals with lower late-life PA, but those with higher late-life PA did not show such results. Midlife PA did not have such a moderation effect. CONCLUSION The findings suggest that physically active lifestyle in late-life, rather than that in midlife, may delay AD-associated cognitive decline by decreasing Aβ-induced neurodegenerative changes in old adults.
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Affiliation(s)
- Bo Kyung Sohn
- Department of Psychiatry, Inje University Sanggye Paik Hospital, Seoul, Republic of Korea
| | - Min Soo Byun
- Department of Psychiatry, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Dahyun Yi
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - So Yeon Jeon
- Department of Psychiatry, Chungnam National University Hospital, Daejeon, Republic of Korea
| | - Jun Ho Lee
- Department of Neuropsychiatry, National Center for Mental Health, Seoul, Republic of Korea
| | - Young Min Choe
- Department of Neuropsychiatry, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Republic of Korea
| | - Dong Woo Lee
- Department of Psychiatry, Inje University Sanggye Paik Hospital, Seoul, Republic of Korea
| | - Jun-Young Lee
- Department of Neuropsychiatry, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea,Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yu Kyeong Kim
- Department of Nuclear Medicine, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Chul-Ho Sohn
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Dong Young Lee
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea,Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea,Institute of Human Behavioral Medicine, Medical Research Center Seoul National University, Seoul, Republic of Korea,Correspondence to: Dong Young Lee, Department of Neuropsychiatry, Seoul National University Hospital & Department of Psychiatry and Behavioral Science, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea. Tel.: +82 2 2072 2205; Fax: +82 2 744 7241;
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Seshadri S, Caunca MR, Rundek T. Vascular Dementia and Cognitive Impairment. Stroke 2022. [DOI: 10.1016/b978-0-323-69424-7.00018-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Sapkota S, McFall GP, Masellis M, Dixon RA. A Multimodal Risk Network Predicts Executive Function Trajectories in Non-demented Aging. Front Aging Neurosci 2021; 13:621023. [PMID: 34603005 PMCID: PMC8482841 DOI: 10.3389/fnagi.2021.621023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Accepted: 08/24/2021] [Indexed: 01/08/2023] Open
Abstract
Background: Multiple modalities of Alzheimer's disease (AD) risk factors may operate through interacting networks to predict differential cognitive trajectories in asymptomatic aging. We test such a network in a series of three analytic steps. First, we test independent associations between three risk scores (functional-health, lifestyle-reserve, and a combined multimodal risk score) and cognitive [executive function (EF)] trajectories. Second, we test whether all three associations are moderated by the most penetrant AD genetic risk [Apolipoprotein E (APOE) ε4+ allele]. Third, we test whether a non-APOE AD genetic risk score further moderates these APOE × multimodal risk score associations. Methods: We assembled a longitudinal data set (spanning a 40-year band of aging, 53-95 years) with non-demented older adults (baseline n = 602; Mage = 70.63(8.70) years; 66% female) from the Victoria Longitudinal Study (VLS). The measures included for each modifiable risk score were: (1) functional-health [pulse pressure (PP), grip strength, and body mass index], (2) lifestyle-reserve (physical, social, cognitive-integrative, cognitive-novel activities, and education), and (3) the combination of functional-health and lifestyle-reserve risk scores. Two AD genetic risk markers included (1) APOE and (2) a combined AD-genetic risk score (AD-GRS) comprised of three single nucleotide polymorphisms (SNPs; Clusterin[rs11136000], Complement receptor 1[rs6656401], Phosphatidylinositol binding clathrin assembly protein[rs3851179]). The analytics included confirmatory factor analysis (CFA), longitudinal invariance testing, and latent growth curve modeling. Structural path analyses were deployed to test and compare prediction models for EF performance and change. Results: First, separate analyses showed that higher functional-health risk scores, lifestyle-reserve risk scores, and the combined score, predicted poorer EF performance and steeper decline. Second, APOE and AD-GRS moderated the association between functional-health risk score and the combined risk score, on EF performance and change. Specifically, only older adults in the APOEε4- group showed steeper EF decline with high risk scores on both functional-health and combined risk score. Both associations were further magnified for adults with high AD-GRS. Conclusion: The present multimodal AD risk network approach incorporated both modifiable and genetic risk scores to predict EF trajectories. The results add an additional degree of precision to risk profile calculations for asymptomatic aging populations.
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Affiliation(s)
- Shraddha Sapkota
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - G. Peggy McFall
- Department of Psychology, University of Alberta, Edmonton, AB, Canada
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
| | - Mario Masellis
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Medicine (Neurology), University of Toronto, Toronto, ON, Canada
| | - Roger A. Dixon
- Department of Psychology, University of Alberta, Edmonton, AB, Canada
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
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Sitting Time, Physical Activity, and Cognitive Impairment in Midlife and Older Adults. J Aging Phys Act 2021; 30:355-363. [PMID: 34453026 DOI: 10.1123/japa.2020-0473] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 04/17/2021] [Accepted: 06/15/2021] [Indexed: 11/18/2022]
Abstract
This study cross-sectionally examines the relations of sitting and physical activity (PA) with cognitive impairment in community-dwelling adults aged 55-87 years (n = 3,780). Multivariable logistic regression assessed independent and joint relations of sitting and PA with Montreal Cognitive Assessment scores adjusting for covariates. Sitting ≥75% of the time and not meeting PA guidelines were related to 60% (95% confidence interval [CI] [1.19, 2.17]) and 27% (95% CI [1.06, 1.53]) higher odds for cognitive impairment, respectively. Stratification by age showed that sitting ≥75% of the time was associated with higher cognitive impairment odds in midlife (odds ratio [OR] = 1.86; 95% CI [1.31, 2.65]), but not older adults (OR = 1.06; 95% CI [0.57, 1.95]). Joint association analysis revealed that, overall, the highest odds for cognitive impairment were in those sitting ≥75% of the time while meeting or not meeting PA guidelines (OR = 1.69, 95% CI [1.13, 2.53]; and OR = 1.66, 95% CI [1.19, 2.32], respectively). In conclusion, prolonged sitting and insufficient PA are independent risk markers for cognitive impairment.
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Liu Y, Wei K, Cao X, Jiang L, Gu N, Feng L, Li C. Development and Validation of a Nomogram Based on Motoric Cognitive Risk Syndrome for Cognitive Impairment. Front Aging Neurosci 2021; 13:618833. [PMID: 33935682 PMCID: PMC8086554 DOI: 10.3389/fnagi.2021.618833] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Accepted: 02/26/2021] [Indexed: 11/13/2022] Open
Abstract
Objective To develop and validate a prediction nomogram based on motoric cognitive risk syndrome for cognitive impairment in healthy older adults. Methods Using two longitudinal cohorts of participants (aged ≥ 60 years) with 4-year follow-up, we developed (n = 1,177) and validated (n = 2,076) a prediction nomogram. LASSO (least absolute shrinkage and selection operator) regression model and multivariable Cox regression analysis were used for variable selection and for developing the prediction model, respectively. The performance of the nomogram was assessed with respect to its calibration, discrimination, and clinical usefulness. Results The individualized prediction nomogram was assessed based on the following: motoric cognitive risk syndrome, education, gender, baseline cognition, and age. The model showed good discrimination [Harrell’s concordance index (C-index) of 0.814; 95% confidence interval, 0.782–0.835] and good calibration. Comparable results were also seen in the validation cohort, which includes good discrimination (C-index, 0.772; 95% confidence interval, 0.776–0.818) and good calibration. Decision curve analysis demonstrated that the prediction nomogram was clinically useful. Conclusion This prediction nomogram provides a practical tool with all necessary predictors, which are accessible to practitioners. It can be used to estimate the risk of cognitive impairment in healthy older adults.
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Affiliation(s)
- Yong Liu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kai Wei
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinyi Cao
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Clinical Neurocognitive Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lijuan Jiang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Nannan Gu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Feng
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Chunbo Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Sciences, Shanghai, China.,Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China.,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
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35
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Weaver AN, Jaeggi SM. Activity Engagement and Cognitive Performance Amongst Older Adults. Front Psychol 2021; 12:620867. [PMID: 33776844 PMCID: PMC7990770 DOI: 10.3389/fpsyg.2021.620867] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 02/17/2021] [Indexed: 12/30/2022] Open
Abstract
Research supporting cognitive reserve theory suggests that engaging in a variety of cognitive, social, and physical activities may serve as protective factors against age-related changes in mental functioning, especially if the activities are cognitively engaging. Individuals who participate in a variety of cognitive activities have been found to be more likely to maintain a higher level of cognitive functioning and be less likely to develop dementia. In this study, we explore the relationship between engaging in a variety of activities and cognitive performance amongst 206 healthy older adults between the ages of 65–85. Age and years of education were found to be the most significant predictors of a global composite representing cognitive performance, consistent with previous work linking these variables to age-related changes in cognition and the cognitive reserve. We interpret these results to suggest that age and education are better predictors of global cognitive performance in older adults than self-reported activity engagement.
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Affiliation(s)
- Alexandria N Weaver
- School of Education, University of California, Irvine, Irvine, CA, United States
| | - Susanne M Jaeggi
- School of Education, University of California, Irvine, Irvine, CA, United States
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Palta P, Sharrett AR, Gabriel KP, Gottesman RF, Folsom AR, Power MC, Evenson KR, Jack CR, Knopman DS, Mosley TH, Heiss G. Prospective Analysis of Leisure-Time Physical Activity in Midlife and Beyond and Brain Damage on MRI in Older Adults. Neurology 2021; 96:e964-e974. [PMID: 33408144 PMCID: PMC8055339 DOI: 10.1212/wnl.0000000000011375] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Accepted: 10/07/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To test the hypothesis that greater levels of leisure-time moderate to vigorous intensity physical activity (MVPA) in midlife or late life are associated with larger gray matter volumes, less white matter disease, and fewer cerebrovascular lesions measured in late life, we utilized data from 1,604 participants enrolled in the Atherosclerosis Risk in Communities study. METHODS Leisure-time MVPA was quantified using a past-year recall, interviewer-administered questionnaire at baseline and 25 years later and classified as none, low, middle, and high at each time point. The presence of cerebrovascular lesions, white matter hyperintensities (WMH), white matter integrity (mean fractional anisotropy [FA] and mean diffusivity [MD]), and gray matter volumes were quantified with 3T MRI in late life. The odds of cerebrovascular lesions were estimated with logistic regression. Linear regression estimated the mean differences in WMH, mean FA and MD, and gray matter volumes. RESULTS Among 1,604 participants (mean age 53 years, 61% female, 27% Black), 550 (34%), 176 (11%), 250 (16%), and 628 (39%) reported no, low, middle, and high MVPA in midlife, respectively. Compared to no MVPA in midlife, high MVPA was associated with more intact white matter integrity in late life (mean FA difference 0.13 per SD [95% confidence interval (CI) 0.004, 0.26]; mean MD difference -0.11 per SD [95% CI -0.21, -0.004]). High MVPA in midlife was also associated with a lower odds of lacunar infarcts (odds ratio 0.68, 95% CI 0.46, 0.99). High MVPA was not associated with gray matter volumes. High MVPA compared to no MVPA in late life was associated with most brain measures. CONCLUSION Greater levels of physical activity in midlife may protect against cerebrovascular sequelae in late life.
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Affiliation(s)
- Priya Palta
- From the Division of General Medicine, Department of Medicine (P.P.), Columbia University Irving Medical Center, New York, NY; Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Department of Epidemiology, School of Public Health (K.P.G.), The University of Alabama at Birmingham; Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Division of Epidemiology and Community Health, School of Public Health (A.R.F.), University of Minnesota, Minneapolis; Department of Epidemiology (M.C.P.), Milken Institute School of Public Health, George Washington University, Washington, DC; Department of Epidemiology (K.R.E., G.H.), Gillings School of Global Public Health, University of North Carolina at Chapel Hill; Departments of Radiology (C.R.J.) and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; and The MIND Center (T.H.M.), University of Mississippi Medical Center, Jackson.
| | - A Richey Sharrett
- From the Division of General Medicine, Department of Medicine (P.P.), Columbia University Irving Medical Center, New York, NY; Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Department of Epidemiology, School of Public Health (K.P.G.), The University of Alabama at Birmingham; Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Division of Epidemiology and Community Health, School of Public Health (A.R.F.), University of Minnesota, Minneapolis; Department of Epidemiology (M.C.P.), Milken Institute School of Public Health, George Washington University, Washington, DC; Department of Epidemiology (K.R.E., G.H.), Gillings School of Global Public Health, University of North Carolina at Chapel Hill; Departments of Radiology (C.R.J.) and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; and The MIND Center (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Kelley Pettee Gabriel
- From the Division of General Medicine, Department of Medicine (P.P.), Columbia University Irving Medical Center, New York, NY; Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Department of Epidemiology, School of Public Health (K.P.G.), The University of Alabama at Birmingham; Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Division of Epidemiology and Community Health, School of Public Health (A.R.F.), University of Minnesota, Minneapolis; Department of Epidemiology (M.C.P.), Milken Institute School of Public Health, George Washington University, Washington, DC; Department of Epidemiology (K.R.E., G.H.), Gillings School of Global Public Health, University of North Carolina at Chapel Hill; Departments of Radiology (C.R.J.) and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; and The MIND Center (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Rebecca F Gottesman
- From the Division of General Medicine, Department of Medicine (P.P.), Columbia University Irving Medical Center, New York, NY; Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Department of Epidemiology, School of Public Health (K.P.G.), The University of Alabama at Birmingham; Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Division of Epidemiology and Community Health, School of Public Health (A.R.F.), University of Minnesota, Minneapolis; Department of Epidemiology (M.C.P.), Milken Institute School of Public Health, George Washington University, Washington, DC; Department of Epidemiology (K.R.E., G.H.), Gillings School of Global Public Health, University of North Carolina at Chapel Hill; Departments of Radiology (C.R.J.) and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; and The MIND Center (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Aaron R Folsom
- From the Division of General Medicine, Department of Medicine (P.P.), Columbia University Irving Medical Center, New York, NY; Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Department of Epidemiology, School of Public Health (K.P.G.), The University of Alabama at Birmingham; Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Division of Epidemiology and Community Health, School of Public Health (A.R.F.), University of Minnesota, Minneapolis; Department of Epidemiology (M.C.P.), Milken Institute School of Public Health, George Washington University, Washington, DC; Department of Epidemiology (K.R.E., G.H.), Gillings School of Global Public Health, University of North Carolina at Chapel Hill; Departments of Radiology (C.R.J.) and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; and The MIND Center (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Melinda C Power
- From the Division of General Medicine, Department of Medicine (P.P.), Columbia University Irving Medical Center, New York, NY; Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Department of Epidemiology, School of Public Health (K.P.G.), The University of Alabama at Birmingham; Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Division of Epidemiology and Community Health, School of Public Health (A.R.F.), University of Minnesota, Minneapolis; Department of Epidemiology (M.C.P.), Milken Institute School of Public Health, George Washington University, Washington, DC; Department of Epidemiology (K.R.E., G.H.), Gillings School of Global Public Health, University of North Carolina at Chapel Hill; Departments of Radiology (C.R.J.) and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; and The MIND Center (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Kelly R Evenson
- From the Division of General Medicine, Department of Medicine (P.P.), Columbia University Irving Medical Center, New York, NY; Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Department of Epidemiology, School of Public Health (K.P.G.), The University of Alabama at Birmingham; Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Division of Epidemiology and Community Health, School of Public Health (A.R.F.), University of Minnesota, Minneapolis; Department of Epidemiology (M.C.P.), Milken Institute School of Public Health, George Washington University, Washington, DC; Department of Epidemiology (K.R.E., G.H.), Gillings School of Global Public Health, University of North Carolina at Chapel Hill; Departments of Radiology (C.R.J.) and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; and The MIND Center (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Clifford R Jack
- From the Division of General Medicine, Department of Medicine (P.P.), Columbia University Irving Medical Center, New York, NY; Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Department of Epidemiology, School of Public Health (K.P.G.), The University of Alabama at Birmingham; Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Division of Epidemiology and Community Health, School of Public Health (A.R.F.), University of Minnesota, Minneapolis; Department of Epidemiology (M.C.P.), Milken Institute School of Public Health, George Washington University, Washington, DC; Department of Epidemiology (K.R.E., G.H.), Gillings School of Global Public Health, University of North Carolina at Chapel Hill; Departments of Radiology (C.R.J.) and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; and The MIND Center (T.H.M.), University of Mississippi Medical Center, Jackson
| | - David S Knopman
- From the Division of General Medicine, Department of Medicine (P.P.), Columbia University Irving Medical Center, New York, NY; Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Department of Epidemiology, School of Public Health (K.P.G.), The University of Alabama at Birmingham; Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Division of Epidemiology and Community Health, School of Public Health (A.R.F.), University of Minnesota, Minneapolis; Department of Epidemiology (M.C.P.), Milken Institute School of Public Health, George Washington University, Washington, DC; Department of Epidemiology (K.R.E., G.H.), Gillings School of Global Public Health, University of North Carolina at Chapel Hill; Departments of Radiology (C.R.J.) and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; and The MIND Center (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Thomas H Mosley
- From the Division of General Medicine, Department of Medicine (P.P.), Columbia University Irving Medical Center, New York, NY; Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Department of Epidemiology, School of Public Health (K.P.G.), The University of Alabama at Birmingham; Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Division of Epidemiology and Community Health, School of Public Health (A.R.F.), University of Minnesota, Minneapolis; Department of Epidemiology (M.C.P.), Milken Institute School of Public Health, George Washington University, Washington, DC; Department of Epidemiology (K.R.E., G.H.), Gillings School of Global Public Health, University of North Carolina at Chapel Hill; Departments of Radiology (C.R.J.) and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; and The MIND Center (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Gerardo Heiss
- From the Division of General Medicine, Department of Medicine (P.P.), Columbia University Irving Medical Center, New York, NY; Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Department of Epidemiology, School of Public Health (K.P.G.), The University of Alabama at Birmingham; Department of Neurology (R.F.G.), Johns Hopkins University, Baltimore, MD; Division of Epidemiology and Community Health, School of Public Health (A.R.F.), University of Minnesota, Minneapolis; Department of Epidemiology (M.C.P.), Milken Institute School of Public Health, George Washington University, Washington, DC; Department of Epidemiology (K.R.E., G.H.), Gillings School of Global Public Health, University of North Carolina at Chapel Hill; Departments of Radiology (C.R.J.) and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; and The MIND Center (T.H.M.), University of Mississippi Medical Center, Jackson
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Fernández-Matarrubia M, Goni L, Rognoni T, Razquin C, Fernández-Lázaro CI, Bes-Rastrollo M, Martínez-González MÁ, Toledo E. An Active Lifestyle Is Associated with Better Cognitive Function Over Time in APOE ɛ4 Non-Carriers. J Alzheimers Dis 2021; 79:1257-1268. [DOI: 10.3233/jad-201090] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Background: Available evidence on the association of physical activity (PA) or sedentary behavior with cognitive decline is inconclusive. Objective: To assess the association between an active lifestyle score and leisure-time physical activity (LTPA) and changes in cognitive function in the Seguimiento Universidad de Navarra (SUN) prospective cohort. Methods: Cognitive function was evaluated in a subsample of 806 participants of the SUN cohort study using the validated Telephone Interview for Cognitive Status-modified (STICS-m) questionnaire at baseline and after 6 years. LTPA was evaluated with a previously validated 17-item self-administered questionnaire and with information on sedentary lifestyles. We also calculated a multidimensional 8-item PA score. Multivariable linear regression analysis evaluated the association between PA and changes in cognitive function and its interaction by APOE genotype. Results: Mean age of participants was 66 (SD 5.3) years and 69.7% were male. When stratifying by APOE variants, no significant associations between the active lifestyle score or LTPA and changes in cognitive performance over time were found among APOE ɛ4 carriers. However, we observed that a higher adherence to an active lifestyle (high versus low PA score β= 0.76 95% CI 0.15,1.36; p trend = 0.011) and a high LTPA (Q4 versus Q1 β= 0.63; 95% CI –0.01,1.26; p trend = 0.030) were associated with more favorable changes in cognitive function over time among APOE ɛ4 non-carriers with statistically significant interactions in both cases (p for interaction = 0.042 for PA score, and p = 0.039 for LTPA). Conclusion: The results of the present study suggest that an active lifestyle is associated with a better status of cognitive function over time only among APOE ɛ4 non-carriers.
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Affiliation(s)
- Marta Fernández-Matarrubia
- Department of Neurology, Clínica Universidad de Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Leticia Goni
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Teresa Rognoni
- Department of Neurology, Clínica Universidad de Navarra, Madrid, Spain
| | - Cristina Razquin
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
| | - César Ignacio Fernández-Lázaro
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
| | - Maira Bes-Rastrollo
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Miguel Ángel Martínez-González
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Estefanía Toledo
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
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Tarumi T, Tomoto T, Repshas J, Wang C, Hynan LS, Cullum CM, Zhu DC, Zhang R. Midlife aerobic exercise and brain structural integrity: Associations with age and cardiorespiratory fitness. Neuroimage 2021; 225:117512. [PMID: 33130274 PMCID: PMC8743271 DOI: 10.1016/j.neuroimage.2020.117512] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 10/15/2020] [Accepted: 10/22/2020] [Indexed: 12/20/2022] Open
Abstract
Lower midlife physical activity is associated with higher risk of neurodegenerative disease in late life. However, it remains unknown whether physical exercise and fitness are associated with brain structural integrity during midlife. The purpose of this study was to compare brain structures between middle-aged aerobically trained adults (MA), middle-aged sedentary (MS), and young sedentary (YS) adults. Thirty MA (54±4 years), 30 MS (54±4 years), and 30 YS (32±6 years) participants (50% women) underwent measurements of brain volume, cortical thickness, and white matter (WM) fiber integrity using MRI. MA participants had aerobic training for 24.8±9.6 years and the highest cardiorespiratory fitness level (i.e., peak oxygen uptake: VO2peak) among all groups. Global WM integrity, as assessed with fractional anisotropy (FA) from diffusion tensor imaging, was lower in the MS compared with the YS group. However, global FA in the MA group was significantly higher than that in the MS group (P<0.05) and at a similar level to the YS group. Furthermore, tract-based spatial statistical analysis demonstrated that FA in the anterior, superior, and limbic WM tracts (e.g., the genu of the corpus callosum, superior longitudinal fasciculus, uncinate fasciculus) was higher in the MA compared with MS groups, and positively associated with VO2peak, independently from age and sex. From cortical thickness analysis, MS and MA participants showed thinner prefrontal and parieto-temporal areas than the YS group. On the other hand, the MA group exhibited thicker precentral, postcentral, pericalcarine, and lateral occipital cortices than the MS and YS groups. But, the insula and right superior frontal gyrus showed thinner cortical thickness in the MA compared with the MS groups. Collectively, these findings suggest that midlife aerobic exercise is associated with higher WM integrity and greater primary motor and somatosensory cortical thickness.
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Affiliation(s)
- Takashi Tarumi
- Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital Dallas, 7232 Greenville Ave, Dallas, TX 75231, USA; Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, Japan.
| | - Tsubasa Tomoto
- Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital Dallas, 7232 Greenville Ave, Dallas, TX 75231, USA
| | - Justin Repshas
- Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital Dallas, 7232 Greenville Ave, Dallas, TX 75231, USA
| | - Ciwen Wang
- Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital Dallas, 7232 Greenville Ave, Dallas, TX 75231, USA
| | - Linda S Hynan
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - C Munro Cullum
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - David C Zhu
- Department of Radiology and Cognitive Imaging Research Center, Michigan State University, 220 Trowbridge Rd, East Lansing, MI 48824, USA
| | - Rong Zhang
- Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital Dallas, 7232 Greenville Ave, Dallas, TX 75231, USA; Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
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Design and overview of the Origins of Alzheimer's Disease Across the Life course (ORACLE) study. Eur J Epidemiol 2020; 36:117-127. [PMID: 33324997 PMCID: PMC7847463 DOI: 10.1007/s10654-020-00696-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 11/07/2020] [Indexed: 12/15/2022]
Abstract
Brain development and deterioration across the lifespan are integral to the etiology of late-life neurodegenerative disease. Factors that influence the health of the adult brain remain to be elucidated and include risk factors, protective factors, and factors related to cognitive and brain reserve.
To address this knowledge gap we designed a life-course study on brain health, which received funding through the EU ERC Programme under the name Origins of Alzheimer’s Disease Across the Life course (ORACLE) Study. The ORACLE Study is embedded within Generation R, a prospective population-based cohort study of children and their parents, and links this with the Rotterdam Study, a population-based study in middle-aged and elderly persons. The studies are based in Rotterdam, the Netherlands. Generation R focuses on child health from fetal life until adolescence with repeated in-person examinations, but has also included data collection on the children’s parents. The ORACLE Study aims to extend the parental data collection in nearly 2000 parents with extensive measures on brain health, including neuroimaging, cognitive testing and motor testing. Additionally, questionnaires on migraine, depressive symptoms, sleep, and neurological family history were completed. These data allow for the investigation of longitudinal influences on adult brain health as well as intergenerational designs involving children and parents. As a secondary focus, the sampling is enriched by mothers (n = 356) that suffered from hypertensive disorders during pregnancy in order to study brain health in this high-risk population. This article provides an overview of the rationale and the design of the ORACLE Study.
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Physical activity in later life and risk of dementia: Findings from a population-based cohort study. Exp Gerontol 2020; 143:111145. [PMID: 33189834 DOI: 10.1016/j.exger.2020.111145] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 10/21/2020] [Accepted: 11/03/2020] [Indexed: 01/10/2023]
Abstract
BACKGROUND Dementia is the second leading cause of death in the United Kingdom, affecting 7.1% of older adults. One in five dementia cases in Europe can be attributable to physical inactivity. We examined the association between physical activity at age 50 or older and risk of dementia over 15 years. METHODS The English Longitudinal Study of Ageing (ELSA) comprises a national population-based cohort that began in 2002-03 (baseline) with 9275 individuals aged ≥50 years. Dementia diagnosis was followed over 15 years. Physical activity in daily life and at work was measured at baseline and at two yearly intervals and participants were categorized as inactive, low, or moderate-to-high active. Cumulative incidence of dementia during follow-up was calculated; hazard ratios and 95% confidence intervals (CI) were estimated using survival analysis. RESULTS At baseline, 69% of the sample were categorized as moderate-to-high active. The inactive, low, and moderate-to-high active groups had a cumulative incidence of dementia of 4.8% (95%CI: 4.4 to 5.4), 0.9% (95%CI:0.8 to 1.1), and 0.2% (95%CI: 0.1 to 0.5), respectively. In adjusted analyses, participants in the low and moderate-to-high active groups had, respectively, 60% and 78% lower risk of developing dementia than the inactive group. Survival analyses showed large between-group differences in the cumulative incidence of dementia over 15 years based on the physical activity categories. CONCLUSION In people aged 50 or more, there is an inverse dose-response association between physical activity and incidence of dementia over 15 years. Even low levels of physical activity have beneficial effects.
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Bai Y, Ma X. Chlorzoxazone exhibits neuroprotection against Alzheimer's disease by attenuating neuroinflammation and neurodegeneration in vitro and in vivo. Int Immunopharmacol 2020; 88:106790. [PMID: 32795892 DOI: 10.1016/j.intimp.2020.106790] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 06/21/2020] [Accepted: 07/06/2020] [Indexed: 11/25/2022]
Abstract
Alzheimer's disease (AD), a complex and an age-related brain disease, is induced by the accumulation of amyloid beta (Aβ) and neuroinflammation. Chlorzoxazone (CZ) is a classical FDA-approved drug, and shows anti-inflammatory effects. However, up until now, its regulatory role in AD has not been investigated. Therefore, in this study we attempted to explore if CZ could be an effective therapeutic strategy for AD treatment. At first, the in vitro study was performed to mimic AD using Aβ. We found that Aβ caused p65 nuclear translocation in both primary microglial cells and astrocytes, which were, however, restrained by CZ treatments. Meanwhile, CZ incubation markedly decreased the expression of pro-inflammatory cytokines including tumor necrosis factor α (TNF-α), interleukin-1β (IL-1β). Aβ deposition was also markedly reduced in glial cells treated with CZ. Importantly, we found that glial activation and its-related pro-inflammation induced by Aβ led to obvious neurodegeneration and neuroinflammation, which were effectively attenuated by CZ pre-treatment in the isolated primary cortical neurons. Then, the in vivo study was performed using APP/PS1 mice with AD. Behavior tests showed that CZ administration effectively improved cognitive deficits in AD mice. Neuron death in hippocampus of AD mice was also inhibited by CZ. Aβ accumulation in brain was markedly decreased in CZ-treated AD mice. We finally found that hippocampal glial activation in AD mice was obviously blocked by CZ supplementation, along with remarkable decreases in TNF-α, IL-1β and p65 nuclear translocation. Together, these findings above demonstrated that CZ could inhibit glial activation and inflammatory response, contributing to the suppression of neurodegeneration and neuroinflammation. Therefore, CZ may be an effective therapeutic strategy for AD treatment.
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Affiliation(s)
- Yanyan Bai
- Department of Neurology, The First Hospital of Yulin, Yulin 719000, China
| | - Xinshun Ma
- Department of Neurology, The First Hospital of Yulin, Yulin 719000, China.
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Barha CK, Liu-Ambrose T. Sex differences in exercise efficacy: Is midlife a critical window for promoting healthy cognitive aging? FASEB J 2020; 34:11329-11336. [PMID: 32761860 DOI: 10.1096/fj.202000857r] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 06/10/2020] [Accepted: 06/19/2020] [Indexed: 01/17/2023]
Abstract
Dementia is one of the most pressing health care issues of this century. As no curative treatment for dementia exists, research efforts are growing to identify effective lifestyle interventions to prevent or delay onset. One such promising strategy that promotes cognitive and brain health is engaging in physical exercise. However, current exercise recommendations are imprecise. To advance the potential of exercise as a preventative and treatment strategy, important questions regarding moderators (ie, biological sex and age) are being addressed in the literature. Biological sex is recognized as an important variable to consider in exercise efficacy on brain health, with females showing greater cognitive gains. This may be related to sex differences in underlying mechanisms. Here, we argue to better understand the sex differences in exercise efficacy, the timing of exercise intervention should also be considered. Specifically, we present the hypothesis that midlife in females is a critical window for the implementation of exercise as an early intervention to promote brain health and prevent dementia. Further, we speculate that exercise interventions targeting midlife will be of critical importance for the female brain, as females exit this period of the lifespan at greater risk for cognitive impairment. Given the potential sex differences in dementia risk and prevalence, it is imperative to assess potential sex differences in exercise efficacy as an early intervention during midlife.
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Affiliation(s)
- Cindy K Barha
- Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada.,Aging, Mobility, and Cognitive Neuroscience Lab, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada.,Physical Activity for Precision Health Research Cluster, University of British Columbia, Vancouver, BC, Canada
| | - Teresa Liu-Ambrose
- Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada.,Aging, Mobility, and Cognitive Neuroscience Lab, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada.,Physical Activity for Precision Health Research Cluster, University of British Columbia, Vancouver, BC, Canada
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Ingold M, Tulliani N, Chan CCH, Liu KPY. Cognitive function of older adults engaging in physical activity. BMC Geriatr 2020; 20:229. [PMID: 32616014 PMCID: PMC7333382 DOI: 10.1186/s12877-020-01620-w] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 06/15/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Physical activity can be classified as open-skilled or closed-skilled. Open-skilled physical activity, such as tennis, require participants to perform within a dynamic setting and respond to unpredictable and frequent environmental changes throughout the activity. Closed-skilled types of physical activity, such as swimming, are predictable and self-directed. However, the benefits of cognitive function in these two types of physical activities to older adults are unknown. This study examined the effects of participation in open- and closed-skilled physical activity on the cognitive function of older adults. METHODS The study recruited a total of 61 participants aged 65 years and over. Participant recruitment was achieved by distributing flyers asking for volunteers in various sports venues. Participants self-reported to be without medical conditions affecting their physical and cognitive function. All participants underwent a two-hour assessment session involving the completion of seven standardised cognitive function assessments, which were used to assess a range of cognitive function. RESULTS Overall mean scores across all of the assessments showed superior performance for the open- or closed-skilled participants when compared with the no-physical-activity group. The results of 61 adults who participated in this study showed that closed-skilled physical activity was associated with better selective attention and visuospatial function while open-skilled physical activity was associated with better inhibition and cognitive flexibility function. No significant difference in self-regulation ability was found between the open- or closed-skilled groups. CONCLUSIONS Open-skilled physical activity was associated with better inhibition, visual tracking, and cognitive flexibility while closed-skilled physical activity was associated with better selective attention and visuospatial perception. The findings have important practical implications for the health and quality of life of ageing populations, knowing which particular types of physical activity might affect the cognitive function.
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Affiliation(s)
- Monisha Ingold
- School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Nikki Tulliani
- School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Chetwyn C H Chan
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.,University Research Facility in Behavioural and Systems Neuroscience, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Karen P Y Liu
- School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia. .,Translation Health Research Institute, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.
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Palta P, Heiss G, Sharrett AR, Gabriel KP, Walker K, Evenson KR, Knopman D, Mosley TH, Wong DF, Gottesman RF. Mid- and Late-Life Leisure-Time Physical Activity and Global Brain Amyloid Burden: The Atherosclerosis Risk in Communities (ARIC)-PET Study. J Alzheimers Dis 2020; 76:139-147. [PMID: 32444546 PMCID: PMC8011955 DOI: 10.3233/jad-200152] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
BACKGROUND Physical activity (PA) may slow the development of dementia by reducing the accumulation of amyloid. OBJECTIVE We tested the hypothesis that higher levels of leisure-time PA in mid- or late-life were associated with lower brain amyloid burden in late-life among 326 non-demented participants from the Atherosclerosis Risk in Communities Study of brain florbetapir positron emission tomography (ARIC-PET) ancillary. METHODS Self-reported PA was quantified using a past-year recall, interviewer-administered questionnaire in mid-life (1987-1989, aged 45-64 years) and late-life (2011-2013, aged 67-89 years). Continuous PA estimates were classified as 1) any leisure-time PA participation (yes/no); 2) meeting the 2018 United States' PA guidelines (yes/no); and 3) per 1 standard deviation (SD) higher metabolic equivalent of task (MET) minutes per week (MET·min·wk-1). A brain magnetic resonance imaging scan with Florbetapir PET was performed in late-life. Adjusted odds ratios (OR) of elevated amyloid burden, defined as a global cortical standardized uptake value ratio (>1.2), compared to no elevated amyloid burden were estimated according to PA measures. RESULTS Among the 326 participants (mean age: 76 years, 42% male, 41% Black), 52% had elevated brain amyloid burden. Mid-life leisure-time PA did not show a statistically significant lower odds of elevated late-life amyloid burden (OR = 0.71, 95% CI: 0.43-1.18). A 1 SD (970 MET. min. wk-1) higher PA level in mid-life was also not significantly associated withelevated amyloid burden (OR = 0.89, 95% CI: 0.69-1.15). Similar estimates were observed for meeting versus not meeting PA guidelines in both mid- and late-life. CONCLUSION Self-reported higher mid- and late-life leisure-time PA were not significantly associated with lower amyloid burden. Data show a trend of an association, which is, however, imprecise, suggesting replication in larger studies.
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Affiliation(s)
- Priya Palta
- Division of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Gerardo Heiss
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - A. Richey Sharrett
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kelley Pettee Gabriel
- Department of Epidemiology, School of Public Health, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Keenan Walker
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kelly R. Evenson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - David Knopman
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Thomas H. Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Dean F. Wong
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Environmental Health and Engineering, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Washington University in St. Louis, School of Medicine, Mallinckrodt Institute of Radiology, St. Louis, MO, USA
| | - Rebecca F. Gottesman
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Ogino E, Manly JJ, Schupf N, Mayeux R, Gu Y. Current and past leisure time physical activity in relation to risk of Alzheimer's disease in older adults. Alzheimers Dement 2019; 15:1603-1611. [PMID: 31587996 DOI: 10.1016/j.jalz.2019.07.013] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Revised: 07/09/2019] [Accepted: 07/14/2019] [Indexed: 12/22/2022]
Abstract
INTRODUCTION The associations between self-reported current and past leisure time physical activity (LTPA) and Alzheimer's disease (AD) incidence were determined using data from the multiethnic Washington/Hamilton Heights-Inwood Columbia Aging Project (WHICAP) study. METHODS The metabolic equivalent of LTPA energy expenditure was calculated for self-reported current and past LTPA for 1345 older adults. A Cox proportional hazard model was conducted to estimate the association between LTPA (low, middle, and high) and incident AD risk. RESULTS Comparing high to low level, current and past LTPA were both associated with reduced AD risk, with hazard ratio (95% confidence interval) = 0.39 (0.20-0.75) and 0.37 (0.18-0.75), respectively. Compared with "always low," "increased" and "always high" LTPA throughout life were associated with reduced AD risk, with hazard ratio (95% confidence interval) = 0.60 (0.36-0.99) and 0.28 (0.08-0.94), respectively. Light- and moderate-intensity LTPA were associated with lower AD risk. DISCUSSION LTPA both throughout life and later in life are associated with lower risk of AD.
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Affiliation(s)
- Erika Ogino
- Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, USA
| | - Jennifer J Manly
- Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, USA; Department of Neurology, Columbia University, New York, NY, USA; Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA
| | - Nicole Schupf
- Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, USA; Department of Neurology, Columbia University, New York, NY, USA; Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Richard Mayeux
- Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, USA; Department of Neurology, Columbia University, New York, NY, USA; Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA; Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Yian Gu
- Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, USA; Department of Neurology, Columbia University, New York, NY, USA; Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA; Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University, New York, NY, USA.
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Rabin JS, Klein H, Kirn DR, Schultz AP, Yang HS, Hampton O, Jiang S, Buckley RF, Viswanathan A, Hedden T, Pruzin J, Yau WYW, Guzmán-Vélez E, Quiroz YT, Properzi M, Marshall GA, Rentz DM, Johnson KA, Sperling RA, Chhatwal JP. Associations of Physical Activity and β-Amyloid With Longitudinal Cognition and Neurodegeneration in Clinically Normal Older Adults. JAMA Neurol 2019; 76:1203-1210. [PMID: 31312836 DOI: 10.1001/jamaneurol.2019.1879] [Citation(s) in RCA: 106] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Importance In the absence of disease-modifying therapies for Alzheimer disease, there is a critical need to identify modifiable risk factors that may delay the progression of Alzheimer disease. Objective To examine whether physical activity moderates the association of β-amyloid (Aβ) burden with longitudinal cognitive decline and neurodegeneration in clinically normal individuals and to examine whether these associations are independent of vascular risk. Design, Setting, and Participants This longitudinal observational study included clinically normal participants from the Harvard Aging Brain Study. Participants were required to have baseline Aβ positron emission tomography data, baseline medical data to quantify vascular risk, and longitudinal neuropsychological and structural magnetic resonance imaging data. Data were collected from April 2010 to June 2018. Data were analyzed from August to December 2018. Main Outcomes and Measures Baseline physical activity was quantified with a pedometer (mean steps per day). Baseline Aβ burden was measured with carbon 11-labeled Pittsburgh Compound B positron emission tomography. Cognition was measured annually with the Preclinical Alzheimer Cognitive Composite (PACC; median [interquartile range] follow-up, 6.0 [4.3-6.3] years). Neurodegeneration was assessed with longitudinal structural magnetic resonance imaging (2 to 5 scans per participant; median [interquartile range] follow-up, 4.5 [3.0-5.0] years), with a focus on total gray matter volume and regional cortical thickness. Physical activity and Aβ burden were examined as interactive predictors of PACC decline and volume loss in separate linear mixed models, adjusting for age, sex, education, apolipoprotein E ε4 status, and, where appropriate, intracranial volume. Secondary models adjusted for vascular risk and its interaction with Aβ burden. Results Of the 182 included participants, 103 (56.6%) were female, and the mean (SD) age was 73.4 (6.2) years. In models examining PACC decline and volume loss, there was a significant interaction of physical activity with Aβ burden, such that greater physical activity was associated with slower Aβ-related cognitive decline (β, 0.03; 95% CI, 0.02-0.05; P < .001) and volume loss (β, 482.07; 95% CI, 189.40-774.74; P = .002). Adjusting for vascular risk did not alter these associations. In these models, lower vascular risk was independently associated with slower Aβ-related PACC decline (β, -0.04; 95% CI, -0.06 to -0.02; P < .001) and volume loss (β, -483.41; 95% CI, -855.63 to -111.20; P = .01). Conclusions and Relevance Greater physical activity and lower vascular risk independently attenuated the negative association of Aβ burden with cognitive decline and neurodegeneration in asymptomatic individuals. These findings suggest that engaging in physical activity and lowering vascular risk may have additive protective effects on delaying the progression of Alzheimer disease.
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Affiliation(s)
- Jennifer S Rabin
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston.,Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Hannah Klein
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Dylan R Kirn
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.,Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Aaron P Schultz
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.,Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Hyun-Sik Yang
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.,Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Olivia Hampton
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Shu Jiang
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Rachel F Buckley
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.,Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.,Florey Institute, University of Melbourne, Parkville, Victoria, Australia.,Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Anand Viswanathan
- Kistler Stroke Research Center, Massachusetts General Hospital, Boston
| | - Trey Hedden
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jeremy Pruzin
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Wai-Ying Wendy Yau
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Edmarie Guzmán-Vélez
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Yakeel T Quiroz
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston.,Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Michael Properzi
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Gad A Marshall
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.,Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Dorene M Rentz
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.,Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Keith A Johnson
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.,Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.,Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston.,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Reisa A Sperling
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.,Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.,Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Jasmeer P Chhatwal
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.,Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
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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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Perneczky R, Kempermann G, Korczyn AD, Matthews FE, Ikram MA, Scarmeas N, Chetelat G, Stern Y, Ewers M. Translational research on reserve against neurodegenerative disease: consensus report of the International Conference on Cognitive Reserve in the Dementias and the Alzheimer's Association Reserve, Resilience and Protective Factors Professional Interest Area working groups. BMC Med 2019; 17:47. [PMID: 30808345 PMCID: PMC6391801 DOI: 10.1186/s12916-019-1283-z] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 02/06/2019] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND The concept of reserve was established to account for the observation that a given degree of neurodegenerative pathology may result in varying degrees of symptoms in different individuals. There is a large amount of evidence on epidemiological risk and protective factors for neurodegenerative diseases and dementia, yet the biological mechanisms that underpin the protective effects of certain lifestyle and physiological variables remain poorly understood, limiting the development of more effective preventive and treatment strategies. Additionally, different definitions and concepts of reserve exist, which hampers the coordination of research and comparison of results across studies. DISCUSSION This paper represents the consensus of a multidisciplinary group of experts from different areas of research related to reserve, including clinical, epidemiological and basic sciences. The consensus was developed during meetings of the working groups of the first International Conference on Cognitive Reserve in the Dementias (24-25 November 2017, Munich, Germany) and the Alzheimer's Association Reserve and Resilience Professional Interest Area (25 July 2018, Chicago, USA). The main objective of the present paper is to develop a translational perspective on putative mechanisms underlying reserve against neurodegenerative disease, combining evidence from epidemiological and clinical studies with knowledge from animal and basic research. The potential brain functional and structural basis of reserve in Alzheimer's disease and other brain disorders are discussed, as well as relevant lifestyle and genetic factors assessed in both humans and animal models. CONCLUSION There is an urgent need to advance our concept of reserve from a hypothetical model to a more concrete approach that can be used to improve the development of effective interventions aimed at preventing dementia. Our group recommends agreement on a common dictionary of terms referring to different aspects of reserve, the improvement of opportunities for data sharing across individual cohorts, harmonising research approaches across laboratories and groups to reduce heterogeneity associated with human data, global coordination of clinical trials to more effectively explore whether reducing epidemiological risk factors leads to a reduced burden of neurodegenerative diseases in the population, and an increase in our understanding of the appropriateness of animal models for reserve research.
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Affiliation(s)
- Robert Perneczky
- Division of Mental Health in Older Adults and Alzheimer Therapy and Research Center, Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University Munich, 80336, Munich, Germany. .,German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany. .,Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK. .,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
| | - Gerd Kempermann
- German Center for Neurodegenerative Diseases (DZNE) Dresden, Dresden, Germany.,Center for Regenerative Therapies Dresden (CRTD), Technische Universität Dresden, Dresden, Germany
| | - Amos D Korczyn
- Sackler School of Medicine, Tel- Aviv University, Ramat Aviv, Israel
| | - Fiona E Matthews
- Institute of Health and Society, Newcastle University Institute for Ageing, Newcastle University, Newcastle, UK.,MRC Biostatistics Unit, Cambridge University, Cambridge, UK
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Nikolaos Scarmeas
- Department of Social Medicine, Psychiatry and Neurology, 1st Department of Neurology, Aeginition University Hospital, National and Kapodistrian University of Athens, Athens, Greece.,Cognitive Neuroscience Division, Department of Neurology and The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Gael Chetelat
- Université Normandie, Inserm, Université de Caen-Normandie, Inserm UMR-S U1237, GIP Cyceron, Caen, France
| | - Yaakov Stern
- Cognitive Neuroscience Division, Department of Neurology and The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Michael Ewers
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
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