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Sewell KR, Collins AM, Mellow ML, Falck RS, Brown BM, Smith AE, Erickson KI. A Compensatory Role of Physical Activity in the Association Between Sleep and Cognition. Exerc Sport Sci Rev 2024; 52:145-151. [PMID: 39190610 DOI: 10.1249/jes.0000000000000345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/29/2024]
Abstract
We synthesize evidence investigating the hypothesis that greater engagement in physical activity (PA) may compensate for some of the negative cognitive consequences associated with poor sleep in older adults. Potential mechanistic pathways include glymphatic clearance, influences on depression, and other comorbidities. The evidence base is largely cross-sectional and observational, and further experimental studies are required.
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Affiliation(s)
| | | | - Maddison L Mellow
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Ryan S Falck
- Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | | | - Ashleigh E Smith
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
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Le Roy B, Jouvencel A, Friedl-Werner A, Renel L, Cherchali Y, Osseiran R, Sanz-Arigita E, Cazalets JR, Guillaud E, Altena E. Is sleep affected after microgravity and hypergravity exposure? A pilot study. J Sleep Res 2024:e14279. [PMID: 38923005 DOI: 10.1111/jsr.14279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 05/24/2024] [Accepted: 06/11/2024] [Indexed: 06/28/2024]
Abstract
Sleep is known to be affected in space travel and in residents of the international space station. But little is known about the direct effects of gravity changes on sleep, if other factors, such as sleep conditions, are kept constant. Here, as a first exploration, we investigated sleep before and after exposure to short bouts of microgravity and hypergravity during parabolic flights. Sleep was measured through actigraphy and self-report questionnaires in 20 healthy men and women before and after parabolic flight. Higher sleep fragmentation and more awakenings were found in the night after the flight as compared with the night before, which was discrepant from participants' reports showing better and longer sleep after the parabolic flight. Variable levels of experience with parabolic flights did not affect the results, nor did levels of scopolamine, a medication typically taken against motion sickness. Pre-existing sleep problems were related to sleep fragmentation and wake after sleep onset by a quadratic function such that participants with more sleep problems showed lower levels of sleep fragmentation and nighttime awakenings than those with few sleep problems. These novel findings, though preliminary, have important implications for future research, directed at prevention and treatment of sleep problems and their daytime consequences in situations of altered gravity, and possibly in the context of other daytime vestibular challenges as well.
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Affiliation(s)
- Barbara Le Roy
- Stress Neurophysiology Unit, French Armed Forces Biomedical Research Institute, Brétigny-sur-Orge Cedex, CNES, Paris, France
- APEMAC/EPSAM, EA 4360 Metz Cedex, Metz Cedex, France
| | - Aurore Jouvencel
- INCIA, EPHE, Université PSL, Univ. Bordeaux, CNRS, Bordeaux, France
| | - Anika Friedl-Werner
- Charité-Universitätsmedizin Berlin, a Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Physiology, Center for Space Medicine and Extreme Environments Berlin, Berlin, Germany
- Université de Normandie, INSERM U1075 COMETE, Caen, France
| | - Ludmila Renel
- Université de Bordeaux, CNRS UMR 5287, INCIA, Bordeaux, France
| | | | - Raouf Osseiran
- Université de Bordeaux, CNRS UMR 5287, INCIA, Bordeaux, France
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Callow DD, Spira AP, Zipunnikov V, Lu H, Wanigatunga SK, Rabinowitz JA, Albert M, Bakker A, Soldan A. Sleep and physical activity measures are associated with resting-state network segregation in non-demented older adults. Neuroimage Clin 2024; 43:103621. [PMID: 38823249 PMCID: PMC11179421 DOI: 10.1016/j.nicl.2024.103621] [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: 02/14/2024] [Revised: 05/18/2024] [Accepted: 05/23/2024] [Indexed: 06/03/2024]
Abstract
Greater physical activity and better sleep are associated with reduced risk of cognitive decline and dementia among older adults, but little is known about their combined associations with measures of brain function and neuropathology. This study investigated potential independent and interactive cross-sectional relationships between actigraphy-estimated total volume of physical activity (TVPA) and sleep patterns [i.e., total sleep time (TST), sleep efficiency (SE)] with resting-state functional magnetic resonance imaging (rs-fMRI) measures of large scale network connectivity and positron emission tomography (PET) measures of amyloid-β. Participants were 135 non-demented older adults from the BIOCARD study (116 cognitively normal and 19 with mild cognitive impairment; mean age = 70.0 years). Using multiple linear regression analyses, we assessed the association between TVPA, TST, and SE with connectivity within the default-mode, salience, and fronto-parietal control networks, and with network modularity, a measure of network segregation. Higher TVPA and SE were independently associated with greater network modularity, although the positive relationship of SE with modularity was only present in amyloid-negative individuals. Additionally, higher TVPA was associated with greater connectivity within the default-mode network, while greater SE was related to greater connectivity within the salience network. In contrast, longer TST was associated with lower network modularity, particularly among amyloid-positive individuals, suggesting a relationship between longer sleep duration and greater network disorganization. Physical activity and sleep measures were not associated with amyloid positivity. These data suggest that greater physical activity levels and more efficient sleep may promote more segregated and potentially resilient functional networks and increase functional connectivity within specific large-scale networks and that the relationship between sleep and functional networks connectivity may depend on amyloid status.
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Affiliation(s)
- Daniel D Callow
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD.
| | - Adam P Spira
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, the United States of America; Johns Hopkins Center on Aging and Health, Baltimore, MD, the United States of America
| | - Vadim Zipunnikov
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, the United States of America
| | - Hanzhang Lu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, the United States of America; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, the United States of America
| | - Sarah K Wanigatunga
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, the United States of America
| | - Jill A Rabinowitz
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ US
| | - Marilyn Albert
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, the United States of America
| | - Arnold Bakker
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, the United States of America
| | - Anja Soldan
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, the United States of America
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Callow DD, Zipunnikov V, Spira AP, Wanigatunga SK, Pettigrew C, Albert M, Soldan A. Actigraphy Estimated Sleep Moderates the Relationship between Physical Activity and Cognition in Older Adults. Ment Health Phys Act 2024; 26:100573. [PMID: 38264712 PMCID: PMC10803079 DOI: 10.1016/j.mhpa.2023.100573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
Background and Aims Physical inactivity and poor sleep are common in older adults and may interact to contribute to age- and disease-related cognitive decline. However, prior work regarding the associations among physical activity, and cognition in older adults is primarily limited to subjective questionnaires that are susceptible to inaccuracies and recall bias. Therefore, this study examined whether objectively measured physical activity and sleep characteristics, each estimated using actigraphy, are independently or interactively associated with cognitive performance. Methods The study included 157 older adults free of dementia (136 cognitively unimpaired; 21 MCI; M age = 71.7) from the BIOCARD cohort. Results Using multiple linear regression, cognition was regressed on estimated total volume of physical activity (TVPA), sleep efficiency (SE), wake after sleep onset (WASO), and total sleep time (TST) (adjusted for age, sex, education, diagnosis, vascular risk factors, and Apolipoprotein E (APOE)-e4 genetic status). Models were also run for domain-specific cognitive composite scores. TVPA and SE each were positively associated with a global cognitive composite score. TVPA was positively associated with executive function and language composites, and SE was positively related to executive function, visuospatial, and language composites. Importantly, a TVPA by SE interaction (p = 0.015) suggested that adults with the poorest SE experienced the greatest benefit from physical activity in relation to global cognition. The other sleep metrics were unrelated to cognitive performance. Conclusion These results suggest that TVPA and SE may synergistically benefit cognition in older adults.
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Affiliation(s)
- Daniel D Callow
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Vadim Zipunnikov
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Adam P Spira
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Johns Hopkins Center on Aging and Health, Baltimore, MD, USA
| | - Sarah K Wanigatunga
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Corinne Pettigrew
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD
| | - Marilyn Albert
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD
| | - Anja Soldan
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD
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Elias MN, Ahrens EA, Schumacher FA, Liang Z, Munro CL. Associations Between Inactivity and Cognitive Function in Older Intensive Care Unit Survivors. Dimens Crit Care Nurs 2024; 43:13-20. [PMID: 38059708 PMCID: PMC11108648 DOI: 10.1097/dcc.0000000000000613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND/INTRODUCTION Critically ill older adults are profoundly inactive while in the intensive care unit (ICU), and this inactivity persists after discharge from the ICU. Older ICU survivors who were mechanically ventilated are at high risk for post-ICU cognitive impairment. OBJECTIVES/AIMS The present study examined the relationship between the ratio of daytime to nighttime activity and executive function in older ICU survivors. METHODS This was a secondary analysis of pooled data from 2 primary studies of older adults who were functionally independent prior to hospitalization, mechanically ventilated while in ICU, and within 24 to 48 hours post-ICU discharge. Actigraphy recorded daytime activity (mean activity counts per minute, 6 am to 9:59 pm) and nighttime activity (mean activity counts per minute, 10 pm to 5:59 am). A daytime-to-nighttime activity ratio was calculated by dividing daytime activity by nighttime activity. The NIH Toolbox Dimensional Change Card Sort Test assessed cognitive flexibility (DCCST: fully corrected T score). Multivariate regression examined the association between the daytime-to-nighttime activity ratio and DCCST scores, adjusting for 2 covariates (age in years and NIH Toolbox Grip Strength fully corrected T score). RESULTS The mean daytime-to-nighttime activity ratio was 2.10 ± 1.17 (interquartile range, 1.42). Ratios for 6 participants (13.6%) were less than 1, revealing higher activity during nighttime hours rather than daytime hours. Higher daytime-to-nighttime ratios were associated with better DCCST scores (β = .364, P = .005). CONCLUSIONS The proportion of daytime activity versus nighttime activity was considerably low, indicating severe alterations in the rest/activity cycle. Higher daytime-to-nighttime activity ratios were associated with better executive function scores, suggesting that assessment of daytime activity could identify at-risk older ICU survivors during the early post-ICU transition period. Promotion of daytime activity and nighttime sleep may accelerate recovery and improve cognitive function.
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Aslanyan V, Ortega N, Fenton L, Harrison TM, Raman R, Mack WJ, Pa J. Protective effects of sleep duration and physical activity on cognitive performance are influenced by β-amyloid and brain volume but not tau burden among cognitively unimpaired older adults. Neuroimage Clin 2023; 39:103460. [PMID: 37379733 PMCID: PMC10316126 DOI: 10.1016/j.nicl.2023.103460] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 06/21/2023] [Accepted: 06/21/2023] [Indexed: 06/30/2023]
Abstract
BACKGROUND AND OBJECTIVES Sleep and physical activity have gained traction as modifiable risk factors for Alzheimer's disease. Sleep duration is linked to amyloid-β clearance while physical activity is associated with brain volume maintenance. We investigate how sleep duration and physical activity are associated with cognition by testing if the associations between sleep duration or physical activity to cognition are explained by amyloid-β burden and brain volume, respectively. Additionally, we explore the mediating role of tau deposition in sleep duration-cognition and physical activity-cognition relationships. METHODS This cross-sectional study obtained data from participants in the Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease (A4) study, a randomized clinical trial. In trial screening, cognitively unimpaired participants (age 65-85 years) underwent amyloid PET and brain MRI; APOE genotype and lifestyle questionnaire data were obtained. Cognitive performance was assessed using the Preclinical Alzheimer Cognitive Composite (PACC). Self-reported nightly sleep duration and weekly physical activity were the primary predictors. Regional Aβ and tau pathologies and volumes were the proposed variables influencing relationships between sleep duration or physical activity and cognition. RESULTS Aβ data were obtained from 4322 participants (1208 with MRI, 59% female, 29% amyloid positive). Sleep duration was associated with a Aβ composite score (β = -0.005, CI: (-0.01, -0.001)) and Aβ burden in the anterior cingulate (ACC) (β = -0.012, CI: (-0.017, -0.006)) and medial orbitofrontal cortices (MOC) (β = -0.009, CI: (-0.014, -0.005)). Composite (β = -1.54, 95% CI:(-1.93, -1.15)), ACC (β = -1.22, CI:(-1.54, -0.90)) and MOC (β = -1.44, CI:(-1.86, -1.02)) Aβ deposition was associated with PACC. Sleep duration-PACC association was explained by Aβ burden in path analyses. Physical activity was associated with hippocampal (β = 10.57, CI: (1.06, 20.08)), parahippocampal (β = 9.3, CI: (1.69, 16.91)), entorhinal (β = 14.68, CI: (1.75, 27.61), and fusiform gyral (β = 38.38, CI: (5.57, 71.18)) volumes, which were positively associated with PACC (p < 0.02 for hippocampus, entorhinal cortex and fusiform gyrus). Physical activity-cognition relationship was explained by regional volumes. PET tau imaging was available for 443 participants. No direct sleep duration-tau burden, physical activity by tau burden, or mediation by regional tau was observed in sleep duration-cognition or physical activity-cognition relationships. DISCUSSION Sleep duration and physical activity are associated with cognition through independent paths of brain Aβ and brain volume, respectively. These findings implicate neural and pathological mechanisms for the relationships between sleep duration and physical activity on cognition. Dementia risk reduction approaches that emphasize the adequate sleep duration and a physically active lifestyle may benefit those with risk for Alzheimer's disease.
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Affiliation(s)
- Vahan Aslanyan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90032, USA
| | - Nancy Ortega
- Alzheimer's Disease Cooperative Study (ADCS), Department of Neurosciences, University of California, San Diego, CA 92121, USA
| | - Laura Fenton
- Department of Psychology, USC Dornsife College of Letters, Arts, and Sciences, Los Angeles, CA 90089, USA
| | - Theresa M Harrison
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, USA
| | - Rema Raman
- Alzheimer Therapeutic Research Institute, Keck School of Medicine, University of Southern California, San Diego, CA 92093, USA
| | - Wendy J Mack
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90032, USA
| | - Judy Pa
- Alzheimer's Disease Cooperative Study (ADCS), Department of Neurosciences, University of California, San Diego, CA 92121, USA.
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Wong R, Lovier MA. Sleep Disturbances and Dementia Risk in Older Adults: Findings From 10 Years of National U.S. Prospective Data. Am J Prev Med 2023; 64:781-787. [PMID: 36707315 DOI: 10.1016/j.amepre.2023.01.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 01/05/2023] [Accepted: 01/06/2023] [Indexed: 01/28/2023]
Abstract
INTRODUCTION Previous research has identified a link between sleep disturbances and cognitive impairment; however, no study has examined this relationship using a national United States sample. This study examines how multiple longitudinal measures of sleep disturbances (sleep-initiation insomnia, sleep-maintenance insomnia, sleep-medication usage) are associated with dementia risk. METHODS Ten annual waves (2011-2020) of prospective cohort data from a nationally representative U.S. sample of adults aged ≥65 years were analyzed from the National Health and Aging Trends Study. Sleep disturbances were converted into a longitudinal score and measured as sleep-initiation insomnia (trouble falling asleep in 30 minutes), sleep-maintenance insomnia (trouble falling asleep after waking up early), and sleep-medication usage (taking medication to help sleep). Cox regression models analyzed time to dementia diagnosis for a sample of 6,284 respondents. RESULTS In the unadjusted model, sleep-initiation insomnia was significantly associated with a 51% increased dementia risk (hazard ratio=1.51, 95% CI=1.19, 1.90). Adjusted for sociodemographics, sleep-medication usage was significantly associated with a 30% increased dementia risk (adjusted hazard ratio=1.30, 95% CI=1.08-1.56). Adjusted for sociodemographics and health, sleep-maintenance insomnia was significantly associated with a 40% decreased dementia risk (adjusted hazard ratio=0.60, 95% CI=0.46, 0.77). CONCLUSIONS These findings suggest that sleep-initiation insomnia and sleep-medication usage may elevate dementia risk. On the basis of the current evidence, sleep disturbances should be considered when assessing the risk profile for dementia. Future research is needed to examine other sleep disturbance measures and to explore the mechanisms for decreased dementia risk among older adults with sleep-maintenance insomnia.
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Affiliation(s)
- Roger Wong
- Department of Public Health and Preventive Medicine, Norton College of Medicine, SUNY Upstate Medical University, Syracuse, New York.
| | - Margaret Anne Lovier
- Department of Public Health and Preventive Medicine, Norton College of Medicine, SUNY Upstate Medical University, Syracuse, New York
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Falck RS, Davis JC, Khan KM, Handy TC, Liu-Ambrose T. A Wrinkle in Measuring Time Use for Cognitive Health: How should We Measure Physical Activity, Sedentary Behaviour and Sleep? Am J Lifestyle Med 2023; 17:258-275. [PMID: 36896037 PMCID: PMC9989499 DOI: 10.1177/15598276211031495] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
One new case of dementia is detected every 4 seconds and no effective drug therapy exists. Effective behavioural strategies to promote healthy cognitive ageing are thus essential. Three behaviours related to cognitive health which we all engage in daily are physical activity, sedentary behaviour and sleep. These time-use activity behaviours are linked to cognitive health in a complex and dynamic relationship not yet fully elucidated. Understanding how each of these behaviours is related to each other and cognitive health will help determine the most practical and effective lifestyle strategies for promoting healthy cognitive ageing. In this review, we discuss methods and analytical approaches to best investigate how these time-use activity behaviours are related to cognitive health. We highlight four key recommendations for examining these relationships such that researchers should include measures which (1) are psychometrically appropriate; (2) can specifically answer the research question; (3) include objective and subjective estimates of the behaviour and (4) choose an analytical method for modelling the relationships of time-use activity behaviours with cognitive health which is appropriate for their research question.
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Affiliation(s)
- Ryan S. Falck
- Aging, Mobility and Cognitive Neuroscience Laboratory, Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada(RSF, TLA); Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada(RSF, TLA); Center for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, Canada(RSF, KMK, TLA); Faculty of Management, University of British Columbia–Okanagan, Kelowna, BC, Canada(JCD); Department of Family Practice, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada(KMK); Attentional Neuroscience Laboratory, Department of Psychology, Faculty of Arts, University of British Columbia, Vancouver, BC, Canada(TCH)
| | - Jennifer C. Davis
- Aging, Mobility and Cognitive Neuroscience Laboratory, Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada(RSF, TLA); Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada(RSF, TLA); Center for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, Canada(RSF, KMK, TLA); Faculty of Management, University of British Columbia–Okanagan, Kelowna, BC, Canada(JCD); Department of Family Practice, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada(KMK); Attentional Neuroscience Laboratory, Department of Psychology, Faculty of Arts, University of British Columbia, Vancouver, BC, Canada(TCH)
| | - Karim M. Khan
- Aging, Mobility and Cognitive Neuroscience Laboratory, Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada(RSF, TLA); Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada(RSF, TLA); Center for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, Canada(RSF, KMK, TLA); Faculty of Management, University of British Columbia–Okanagan, Kelowna, BC, Canada(JCD); Department of Family Practice, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada(KMK); Attentional Neuroscience Laboratory, Department of Psychology, Faculty of Arts, University of British Columbia, Vancouver, BC, Canada(TCH)
| | - Todd C. Handy
- Aging, Mobility and Cognitive Neuroscience Laboratory, Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada(RSF, TLA); Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada(RSF, TLA); Center for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, Canada(RSF, KMK, TLA); Faculty of Management, University of British Columbia–Okanagan, Kelowna, BC, Canada(JCD); Department of Family Practice, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada(KMK); Attentional Neuroscience Laboratory, Department of Psychology, Faculty of Arts, University of British Columbia, Vancouver, BC, Canada(TCH)
| | - Teresa Liu-Ambrose
- Aging, Mobility and Cognitive Neuroscience Laboratory, Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada(RSF, TLA); Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada(RSF, TLA); Center for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, Canada(RSF, KMK, TLA); Faculty of Management, University of British Columbia–Okanagan, Kelowna, BC, Canada(JCD); Department of Family Practice, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada(KMK); Attentional Neuroscience Laboratory, Department of Psychology, Faculty of Arts, University of British Columbia, Vancouver, BC, Canada(TCH)
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Associations between objectively measured sleep parameters and cognition in healthy older adults: A meta-analysis. Sleep Med Rev 2023; 67:101734. [PMID: 36577339 DOI: 10.1016/j.smrv.2022.101734] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 11/03/2022] [Accepted: 12/05/2022] [Indexed: 12/14/2022]
Abstract
Multiple studies have examined associations between sleep and cognition in older adults, but a majority of these depend on self-reports on sleep and utilize cognitive tests that assess overall cognitive function. The current meta-analysis involved 72 independent studies and sought to quantify associations between objectively measured sleep parameters and cognitive performance in healthy older adults. Both sleep macrostructure (e.g., sleep duration, continuity, and stages) and microstructure (e.g., slow wave activity and spindle activity) were evaluated. For macrostructure, lower restlessness at night was associated with better memory performance (r = 0.43, p = 0.02), while lower sleep onset latency was associated with better executive functioning (r = 0.28, p = 0.03). Greater relative amount of N2 and REM sleep, but not N3, positively correlated with cognitive performance. The association between microstructure and cognition in older adults was marginally significant. This relationship was moderated by age (z = 0.07, p < 0.01), education (z = 0.26, p = 0.03), and percentage of female participants (z = 0.01, p < 0.01). The current meta-analysis emphasizes the importance of considering objective sleep measures to understand the relationship between sleep and cognition in healthy older adults. These results also form a base from which researchers using wearable sleep technology and measuring behavior through computerized testing tools can evaluate their findings.
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Liu H, Liu F, Ji H, Dai Z, Han W. A bibliometric analysis of sleep in older adults. Front Public Health 2023; 11:1055782. [PMID: 36908435 PMCID: PMC9995908 DOI: 10.3389/fpubh.2023.1055782] [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: 09/28/2022] [Accepted: 02/06/2023] [Indexed: 02/25/2023] Open
Abstract
Background Sleep problems severely affect the quality of life in the elderly and have gradually gained attention among scholars. As a major hot spot of current research, sleep in older adults is highly exploratory and of great significance for human health. Objective Therefore, in this study, the current state of the art of sleep research in older adults was analyzed through the visual mapping function of CiteSpace software. Using this software, we analyzed popular research questions and directions and revealed the development trends and research frontiers of this field. Methods In this paper, we searched the Web of Science database for sleep-related studies focusing on older adults and analyzed the number of publications, journals, authors, institutions, country regions, and keywords by using CiteSpace software. Results Our results revealed that the number of publications concerning sleep in older adults has gradually increased; after 2017, this field underwent rapid development. The journal Sleep has published the majority of the articles on sleep in older adults and has the highest citation frequency. The Journal of the American Geriatrics Society has the highest impact factor and CiteScore among the top 10 journals in terms of the number of published articles. The United States has the highest number of publications and most of the leading institutions in this field are located in the United States, with the University of California, Los Angeles, and the University of Pittsburgh having the highest number of publications. Dzierzewski JM is the most published author and has played an important role in guiding the development of this field. Research in this area is focused on insomnia, sleep quality, depression, and sleep duration. Conclusion The rapid development of sleep research in older adults, which shows a yearly growth trend, indicates that this field is receiving increasing attention from researchers. Insomnia in older adults is the most concerning problem in this field. At the same time, future research should continue to focus on the impact of sleep disorders on older adults to improve sleep and quality of life in older adults.
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Affiliation(s)
- Haitao Liu
- College of Physical Education, Henan University, Kaifeng, Henan, China.,Research Center of Sports Reform and Development, Henan University, Kaifeng, Henan, China.,Institute of Physical Fitness and Health, Henan University, Kaifeng, Henan, China
| | - Feiyue Liu
- College of Physical Education, Henan University, Kaifeng, Henan, China
| | - Haoyuan Ji
- College of Physical Education, Henan University, Kaifeng, Henan, China
| | - Zuanqin Dai
- College of Physical Education, Henan University, Kaifeng, Henan, China
| | - Wenxiu Han
- College of Physical Education, Henan University, Kaifeng, Henan, China
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11
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Li J, Qu W, Ge Y. Which lifestyle affects how people drive in chinese culture? CURRENT PSYCHOLOGY 2022. [DOI: 10.1007/s12144-022-03691-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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12
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Hoffmann CM, Nianogo RA, Yaffe K, Rosenwohl-Mack A, Carrasco A, Barnes DE. Importance of Accounting for Regional Differences in Modifiable Risk Factors for Alzheimer's Disease and Related Dementias: The Case for Tailored Interventions. J Alzheimers Dis 2022; 89:563-570. [PMID: 35938249 DOI: 10.3233/jad-220278] [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: 11/15/2022]
Abstract
BACKGROUND We recently estimated that 36.9% of Alzheimer's disease and related dementias (ADRD) cases in the US may be attributable to modifiable risk factors, but it is not known whether national estimates generalize to specific states or regions. OBJECTIVE To compare national estimates of modifiable risk factors of ADRD to California, overall and by sex and race/ethnicity, and to estimate number of cases potentially preventable by reducing the prevalence of key risk factors by 25%. METHODS Adults ≥18 years who participated in the Behavioral Risk Factor Surveillance Survey in California (n = 9,836) and the US (n = 378,615). We calculated population attributable risks (PARs) for eight risk factors (physical inactivity, current smoking, depression, low education, diabetes mellitus, midlife obesity, midlife hypertension, and hearing loss) and compared estimates in California and the U.S. RESULTS In California, overall, 28.9% of ADRD cases were potentially attributable to the combination of risk factors, compared to 36.9% in the U.S. The top three risk factors were the same in California and the U.S., although their relative importance differed (low education [CA:14.9%; U.S.:11.7% ], midlife obesity [CA:14.9%; U.S.:17.7% ], and physical inactivity [CA:10.3%; U.S.:11.8% ]). The number of ADRD cases attributable to the combined risk factors was 199,246 in California and 2,287,683 in the U.S. If the combined risk factors were reduced by 25%, we could potentially prevent more than 40,000 cases in California and 445,000 cases in the U.S. CONCLUSION Our findings highlight the importance of examining risk factors of ADRD regionally, and within sex and race/ethnic groups to tailor dementia risk reduction strategies.
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Affiliation(s)
- Coles M Hoffmann
- Department of Psychiatry & Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Roch A Nianogo
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA.,California Center for Population Research, University of California, Los Angeles, Los Angeles, CA, USA
| | - Kristine Yaffe
- Department of Psychiatry & Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA.,Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.,Department of Epidemiology & Biostatistics 550, University of California, San Francisco, San Francisco, CA, USA.,San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA
| | - Amy Rosenwohl-Mack
- School of Nursing, University of California, San Francisco, San Francisco, CA, USA
| | - Anna Carrasco
- Department of Psychiatry & Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Deborah E Barnes
- Department of Psychiatry & Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA.,Department of Epidemiology & Biostatistics 550, University of California, San Francisco, San Francisco, CA, USA.,San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA
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13
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Zhang L, Luo Y, Zhang Y, Pan X, Zhao D, Wang Q. Green Space, Air Pollution, Weather, and Cognitive Function in Middle and Old Age in China. Front Public Health 2022; 10:871104. [PMID: 35586008 PMCID: PMC9108722 DOI: 10.3389/fpubh.2022.871104] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 03/09/2022] [Indexed: 11/13/2022] Open
Abstract
Prior research has shown that environmental hazards, such as limited green space, air pollution, and harmful weather, have the strong adverse impact on older adults' cognitive function; however, most of the studies were conducted in developed countries and limited to cross-sectional analyses. China has the largest aging population in the world so the research evidence from it can offer an insight to the study in other developing countries facing similar issues and inform future public health policy and disease control. This study examined the long-term impact of environmental factors, namely, green space coverage, air pollution, and weather conditions on cognitive function using a nationally representative sample consisting of adults aged 45 years and older selected from the China Health and Retirement Longitudinal Study (CHARLS 2011–2018), the China City Statistical Yearbook, and other sources. Multilevel growth curve models were utilized for analysis and the mediator effects of physical activity and social engagement on the relationship between environmental factors and cognitive function were examined. Findings of this study showed that after controlling for sociodemographic characteristics, annual precipitation of 80 cm or more, living in areas with July temperature of 28°C or higher, urban community, and green space coverage were positively associated with cognition score at the baseline and lower precipitation, urban community, and greater green space coverage were associated with slower cognitive decline over a 7-year period. The impact of gross domestic product (GDP) seemed to take into effect more and more over time. These effects did not substantially change after weekly total hours of physical activities and levels of social engagement were added. More research on the mechanisms of the effect of environmental factors on cognition is needed such as the subgroup analyses and/or with more aspects of environmental measures.
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Affiliation(s)
- Lingling Zhang
- Department of Nursing, University of Massachusetts Boston, Boston, MA, United States
| | - Ye Luo
- Department of Sociology, Anthropology and Criminal Justice, Clemson University, Clemson, SC, United States
- *Correspondence: Ye Luo
| | - Yao Zhang
- Department of Nursing, University of Massachusetts Boston, Boston, MA, United States
| | - Xi Pan
- Department of Sociology, Texas State University, San Marcos, TX, United States
| | - Dandan Zhao
- Department of Sociology, Anthropology and Criminal Justice, Clemson University, Clemson, SC, United States
| | - Qing Wang
- Department of Biostatistics, Shandong University, Jinan, China
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14
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Cheval B, Maltagliati S, Sieber S, Cullati S, Zou L, Ihle A, Kramer AF, Yu Q, Sander D, Boisgontier MP. Better Subjective Sleep Quality Partly Explains the Association Between Self-Reported Physical Activity and Better Cognitive Function. J Alzheimers Dis 2022; 87:919-931. [DOI: 10.3233/jad-215484] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Background: Physical activity has been associated with better cognitive function and better sleep quality. Yet, whether the beneficial effect of physical activity on cognitive function can be explained by an indirect pathway involving better sleep quality is unclear. Objective: To investigate whether sleep quality mediates the association between physical activity and cognitive function in adults 50 years of age or older. Methods: 86,541 community-dwelling European adults were included in the study. Physical activity and sleep quality were self-reported. Indicators of cognitive function (immediate recall, delayed recall, verbal fluency) were assessed using objective tests. All measures were collected six times between 2004 and 2017. The mediation was tested using multilevel mediation analyses. Results: Results showed that self-reported physical activity was associated with better self-reported sleep quality, which was associated with better performance in all three indicators of cognitive function, demonstrating an indirect effect of physical activity on cognitive function through sleep quality. The mediating effect of sleep quality accounted for 0.41%, 1.46%, and 8.88% of the total association of physical activity with verbal fluency, immediate recall, and delayed recall, respectively. Conclusion: These findings suggest that self-reported sleep quality partly mediates the association between self-reported physical activity and cognitive function. These results need to be confirmed by device-based data of physical activity and sleep quality.
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Affiliation(s)
- Boris Cheval
- Swiss Center for Affective Sciences, University of Geneva, Switzerland
- Laboratory for the Study of Emotion Elicitation and Expression (E3Lab), Department of Psychology, University of Geneva, Switzerland
| | | | - Stefan Sieber
- Swiss NCCR “LIVES – Overcoming Vulnerability: Life Course Perspectives”, University of Geneva, Switzerland
- Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Switzerland
| | - Stéphane Cullati
- Population Health Laboratory, University of Fribourg, Switzerland
- Department of Readaptation and Geriatrics, University of Geneva, Switzerland
| | - Liye Zou
- Institute of KEEP Collaborative Innovation, Shenzhen University, China
- Exercise Psychophysiology Laboratory, School of Psychology, Shenzhen University, China
| | - Andreas Ihle
- Swiss NCCR “LIVES – Overcoming Vulnerability: Life Course Perspectives”, University of Geneva, Switzerland
- Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Switzerland
- Cognitive Aging Lab, Department of Psychology, University of Geneva, Geneva, Switzerland
| | - Arthur F. Kramer
- Center for Cognitive and Brain Health, Department of Psychology, Northeastern University, Boston, MA, USA
- Beckman Institute, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - Qian Yu
- Institute of KEEP Collaborative Innovation, Shenzhen University, China
- Exercise Psychophysiology Laboratory, School of Psychology, Shenzhen University, China
| | - David Sander
- Swiss Center for Affective Sciences, University of Geneva, Switzerland
- Laboratory for the Study of Emotion Elicitation and Expression (E3Lab), Department of Psychology, University of Geneva, Switzerland
| | - Matthieu P. Boisgontier
- School of Rehabilitation Sciences, Faculty of Health Sciences, University of Ottawa, Canada
- Bruyère Research Institute, Ottawa, Canada
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15
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How are combinations of physical activity, sedentary behaviour and sleep related to cognitive function in older adults? A systematic review. Exp Gerontol 2022; 159:111698. [PMID: 35026335 DOI: 10.1016/j.exger.2022.111698] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 12/12/2021] [Accepted: 01/05/2022] [Indexed: 01/17/2023]
Abstract
The relationships between cognitive function and each of physical activity, sleep and sedentary behaviour in older adults are well documented. However, these three "time use" behaviours are co-dependent parts of the 24-hour day (spending time in one leaves less time for the others), and their best balance for cognitive function in older adults is still largely unknown. This systematic review summarises the existing evidence on the associations between combinations of two or more time-use behaviours and cognitive function in older adults. Embase, Pubmed, PsycInfo, Medline and Emcare databases were searched in March 2020 and updated in May 2021, returning a total of 25,289 papers for screening. A total of 23 studies were included in the synthesis, spanning >23,000 participants (mean age 71 years). Findings support previous evidence that spending more time in physical activity and limiting sedentary behaviour is broadly associated with better cognitive outcomes in older adults. Higher proportions of moderate-vigorous physical activity in the day were most frequently associated with better cognitive function. Some evidence suggests that certain types of sedentary behaviour may be positively associated with cognitive function, such as reading or computer use. Sleep duration appears to share an inverted U-shaped relationship with cognition, as too much or too little sleep is negatively associated with cognitive function. This review highlights considerable heterogeneity in methodological and statistical approaches, and encourages a more standardised, transparent approach to capturing important daily behaviours in older adults. Investigating all three time-use behaviours together against cognitive function using suitable statistical methodology is strongly recommended to further our understanding of optimal 24-hour time-use for brain function in aging.
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16
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Kim BR, Lee R, Kim N, Jeong JH, Kim GH. The Moderating Role of Sleep Quality on the Association between Neuroticism and Frontal Executive Function in Older Adults. Behav Sleep Med 2022; 20:50-62. [PMID: 33522299 DOI: 10.1080/15402002.2021.1879809] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
OBJECTIVE/BACKGROUND Personality traits are regarded as risk factors for cognitive impairment in older adults, while sleep disturbance and physical inactivity are also considered as modifiable risk factors. Therefore, it could be beneficial to investigate the effects of those modifiable risk factors on the relationship between personality traits and cognitive functions, to prepare appropriate strategies for mitigating cognitive impairment. PARTICIPANTS A total of 155 cognitively unimpaired older adults were included. METHODS All participants underwent cognitive function tests using the Seoul Neuropsychological Screening Battery and examinations for personality traits using the Big Five Inventory. Individual physical activity and sleep quality were assessed using the International Physical Activity Questionnaire and Pittsburgh Sleep Quality Index, respectively. A hierarchical linear multiple regression analysis was performed to demonstrate the direct association between personality traits and cognitive functions, and the multiple moderator analysis was used to analyze the moderating effects of lifestyle factors on this association. RESULTS Among the five personality traits, only neuroticism was negatively associated with the frontal executive and visuospatial functions after controlling age, sex, and years of education. Interestingly, the negative relationship between neuroticism and frontal executive function was alleviated in older adults with higher sleep quality. CONCLUSIONS Our findings demonstrated that higher sleep quality has significant moderating effects on the negative association between neuroticism and frontal executive functions in older adults, which suggests intervention for improving sleep quality such as cognitive behavioral therapy can be considered in older adults who have personality traits associated with a high risk of cognitive impairment.
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Affiliation(s)
- Bori R Kim
- Department of Neurology, Ewha Womans University Mokdong Hospital, Ewha Womans University, College of Medicine, Seoul, Republic of Korea.,Ewha Medical Research Institute, Ewha Womans University, Seoul, Republic of Korea
| | - Ruda Lee
- Department of Neurology, Ewha Womans University Mokdong Hospital, Ewha Womans University, College of Medicine, Seoul, Republic of Korea.,Department of Psychiatry, Kyung Hee University Medical Center, Seoul, Republic of Korea
| | - Nayeon Kim
- Department of Neurology, Ewha Womans University Mokdong Hospital, Ewha Womans University, College of Medicine, Seoul, Republic of Korea
| | - Jee Hyang Jeong
- Department of Neurology, Ewha Womans University Mokdong Hospital, Ewha Womans University, College of Medicine, Seoul, Republic of Korea.,Department of Neurology, Ewha Womans University Seoul Hospital, Ewha Womans University, College of Medicine, Seoul, Republic of Korea
| | - Geon Ha Kim
- Department of Neurology, Ewha Womans University Mokdong Hospital, Ewha Womans University, College of Medicine, Seoul, Republic of Korea
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17
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Sewell KR, Erickson KI, Rainey-Smith SR, Peiffer JJ, Sohrabi HR, Brown BM. Relationships between physical activity, sleep and cognitive function: A narrative review. Neurosci Biobehav Rev 2021; 130:369-378. [PMID: 34506842 DOI: 10.1016/j.neubiorev.2021.09.003] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 08/23/2021] [Accepted: 09/03/2021] [Indexed: 11/19/2022]
Abstract
Physical activity and exercise can improve cognitive function and reduce the risk for dementia. Other lifestyle factors, including sleep, are associated with cognitive function and dementia risk, and exercise is an effective therapeutic strategy for improving sleep. Based on these associations, it has been hypothesised that sleep might be an important mediator for the effects of exercise on cognition. Here, we review the current literature to evaluate whether sleep and physical activity are independently or jointly associated with cognitive function. The extant literature in this area is minimal, and the causal relationships between physical activity, sleep and cognition have not been examined. A small number of cross-sectional studies in this area suggest that physical activity may attenuate some of the negative impact that poor sleep has on cognition, and also that sleep may be a mechanism through which physical activity improves cognitive abilities. Further research may enable the development of individually tailored intervention programs to result in the greatest cognitive benefit, ultimately delaying the onset of Alzheimer's disease.
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Affiliation(s)
- Kelsey R Sewell
- Discipline of Exercise Science, College of Science, Health, Engineering and Education, Murdoch University, 90 South Street, Murdoch, WA, Australia.
| | - Kirk I Erickson
- Discipline of Exercise Science, College of Science, Health, Engineering and Education, Murdoch University, 90 South Street, Murdoch, WA, Australia; Department of Psychology, University of Pittsburgh, 4200 Fifth Ave, PA, United States
| | - Stephanie R Rainey-Smith
- Australian Alzheimer's Research Foundation, Sarich Neuroscience Research Institute, 8 Verdun Street, Nedlands, WA, Australia; Centre For Healthy Ageing, Health Futures Institute, Murdoch University, 90 South Street, Murdoch, WA, Australia; School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia; School of Psychological Science, University of Western Australia, 35 Stirling Highway, Crawley, WA, Australia
| | - Jeremiah J Peiffer
- Discipline of Exercise Science, College of Science, Health, Engineering and Education, Murdoch University, 90 South Street, Murdoch, WA, Australia; Centre For Healthy Ageing, Health Futures Institute, Murdoch University, 90 South Street, Murdoch, WA, Australia
| | - Hamid R Sohrabi
- Australian Alzheimer's Research Foundation, Sarich Neuroscience Research Institute, 8 Verdun Street, Nedlands, WA, Australia; Centre For Healthy Ageing, Health Futures Institute, Murdoch University, 90 South Street, Murdoch, WA, Australia; School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia; Department of Biomedical Sciences, Macquarie University, Balaclava Road, NSW, Australia
| | - Belinda M Brown
- Discipline of Exercise Science, College of Science, Health, Engineering and Education, Murdoch University, 90 South Street, Murdoch, WA, Australia; Australian Alzheimer's Research Foundation, Sarich Neuroscience Research Institute, 8 Verdun Street, Nedlands, WA, Australia; Centre For Healthy Ageing, Health Futures Institute, Murdoch University, 90 South Street, Murdoch, WA, Australia; School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia
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18
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Heiland EG, Ekblom Ö, Bojsen-Møller E, Larisch LM, Blom V, Ekblom MM. Bi-Directional, Day-to-Day Associations between Objectively-Measured Physical Activity, Sedentary Behavior, and Sleep among Office Workers. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18157999. [PMID: 34360287 PMCID: PMC8345408 DOI: 10.3390/ijerph18157999] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 07/22/2021] [Accepted: 07/24/2021] [Indexed: 01/18/2023]
Abstract
The bi-directional, day-to-day associations between daytime physical activity and sedentary behavior, and nocturnal sleep, in office workers are unknown. This study investigated these associations and whether they varied by weekday or weekend day. Among 324 Swedish office workers (mean age 42.4 years; 33.3% men), moderate-to-vigorous physical activity (MVPA), and sedentary behaviors and sleep (total sleep time (TST) and sleep efficiency (SE)) were ascertained by using accelerometers (Actigraph GT3X) over 8 days. Multilevel linear mixed models were used to assess the bi-directional, day-to-day, within-person associations. Additional analyses stratified by weekend/weekday were performed. On average, participants spent 6% (57 min) of their day in MVPA and 59% (9.5 h) sedentary, and during the night, TST was 7 h, and SE was 91%. More daytime sedentary behavior was associated with less TST that night, and reciprocally, more TST at night was associated with less sedentary behavior on the following weekday. Greater TST during the night was also associated with less MVPA the next day, only on weekdays. However, daytime MVPA was not associated with TST that night. Higher nighttime SE was associated with greater time spent sedentary and in MVPA on the following day, regardless if weekday or weekend day. Sleep may be more crucial for being physically active the following day than vice versa, especially on weekdays. Nevertheless, sedentary behavior's relation with sleep time may be bi-directional. Office workers may struggle with balancing sleep and physical activity time.
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19
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Krüger RL, Clark CM, Dyck AM, Anderson TJ, Clement F, Hanly PJ, Hanson HM, Hill MD, Hogan DB, Holroyd-Leduc J, Longman RS, McDonough M, Pike GB, Rawling JM, Sajobi T, Poulin MJ. The Brain in Motion II Study: study protocol for a randomized controlled trial of an aerobic exercise intervention for older adults at increased risk of dementia. Trials 2021; 22:394. [PMID: 34127029 PMCID: PMC8201462 DOI: 10.1186/s13063-021-05336-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 05/21/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND There remains no effective intervention capable of reversing most cases of dementia. Current research is focused on prevention by addressing risk factors that are shared between cardiovascular disease and dementia (e.g., hypertension) before the cognitive, functional, and behavioural symptoms of dementia manifest. A promising preventive treatment is exercise. This study describes the methods of a randomized controlled trial (RCT) that assesses the effects of aerobic exercise and behavioural support interventions in older adults at increased risk of dementia due to genetic and/or cardiovascular risk factors. The specific aims are to determine the effect of aerobic exercise on cognitive performance, explore the biological mechanisms that influence cognitive performance after exercise training, and determine if changes in cerebrovascular physiology and function persist 1 year after a 6-month aerobic exercise intervention followed by a 1-year behavioural support programme (at 18 months). METHODS We will recruit 264 participants (aged 50-80 years) at elevated risk of dementia. Participants will be randomly allocated into one of four treatment arms: (1) aerobic exercise and health behaviour support, (2) aerobic exercise and no health behaviour support, (3) stretching-toning and health behaviour support, and (4) stretching-toning and no health behaviour support. The aerobic exercise intervention will consist of three supervised walking/jogging sessions per week for 6 months, whereas the stretching-toning control intervention will consist of three supervised stretching-toning sessions per week also for 6 months. Following the exercise interventions, participants will receive either 1 year of ongoing telephone behavioural support or no telephone support. The primary aim is to determine the independent effect of aerobic exercise on a cognitive composite score in participants allocated to this intervention compared to participants allocated to the stretching-toning group. The secondary aims are to examine the effects of aerobic exercise on a number of secondary outcomes and determine whether aerobic exercise-related changes persist after a 1-year behavioural support programme (at 18 months). DISCUSSION This study will address knowledge gaps regarding the underlying mechanisms of the pro-cognitive effects of exercise by examining the potential mediating factors, including cerebrovascular/physiological, neuroimaging, sleep, and genetic factors that will provide novel biologic evidence on how aerobic exercise can prevent declines in cognition with ageing. TRIAL REGISTRATION ClinicalTrials.gov NCT03035851 . Registered on 30 January 2017.
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Affiliation(s)
- Renata L. Krüger
- Department of Physiology & Pharmacology, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
| | - Cameron M. Clark
- Department of Physiology & Pharmacology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, T2N 4N1, Canada, Calgary, Alberta Canada
| | - Adrienna M. Dyck
- Department of Physiology & Pharmacology, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
| | - Todd J. Anderson
- Department of Cardiac Sciences at the University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Libin Cardiovascular Institute of Alberta, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
| | - Fiona Clement
- Department of Community Health Sciences at the University of Calgary, Calgary, Alberta T2N 4N1 Canada
- O’Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
| | - Patrick J. Hanly
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Sleep Centre, Foothills Medical Centre, University of Calgary, Calgary, Alberta T2N 4N1 Canada
| | - Heather M. Hanson
- Department of Community Health Sciences at the University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Seniors Health Strategic Clinical Network™, Alberta Health Services, Edmonton, Alberta Canada
| | - Michael D. Hill
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Department of Community Health Sciences at the University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Department of Clinical Neurosciences at the University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Department of Medicine at the University of Calgary, T2N 4 N1, Calgary, Alberta Canada
- Department of Radiology at the University of Calgary, Calgary, Alberta T2N 4N1 Canada
| | - David B. Hogan
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Department of Community Health Sciences at the University of Calgary, Calgary, Alberta T2N 4N1 Canada
- O’Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Seniors Health Strategic Clinical Network™, Alberta Health Services, Edmonton, Alberta Canada
- Department of Medicine at the University of Calgary, T2N 4 N1, Calgary, Alberta Canada
| | - Jayna Holroyd-Leduc
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Department of Community Health Sciences at the University of Calgary, Calgary, Alberta T2N 4N1 Canada
- O’Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Seniors Health Strategic Clinical Network™, Alberta Health Services, Edmonton, Alberta Canada
- Department of Medicine at the University of Calgary, T2N 4 N1, Calgary, Alberta Canada
| | - R. Stewart Longman
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Sleep Centre, Foothills Medical Centre, University of Calgary, Calgary, Alberta T2N 4N1 Canada
| | - Meghan McDonough
- O’Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Faculty of Kinesiology, University of Calgary, Calgary, Alberta T2N 4N1 Canada
| | - G. Bruce Pike
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Department of Clinical Neurosciences at the University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Department of Radiology at the University of Calgary, Calgary, Alberta T2N 4N1 Canada
- CAIP Chair in Healthy Brain Aging, Calgary, Canada
| | - Jean M. Rawling
- Department of Family Medicine at the University of Calgary, Calgary, Alberta T2N 4N1 Canada
| | - Tolulope Sajobi
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Department of Community Health Sciences at the University of Calgary, Calgary, Alberta T2N 4N1 Canada
- O’Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
| | - Marc J. Poulin
- Department of Physiology & Pharmacology, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Libin Cardiovascular Institute of Alberta, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
- O’Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Department of Clinical Neurosciences at the University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Faculty of Kinesiology, University of Calgary, Calgary, Alberta T2N 4N1 Canada
- Brenda Strafford Foundation Chair in Alzheimer Research, Calgary, Alberta Canada
- Heritage Medical Research Building, Room 210, 3330 Hospital Drive NW, Calgary, Alberta T2N 4N1 Canada
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20
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Narbutas J, Chylinski D, Van Egroo M, Bahri MA, Koshmanova E, Besson G, Muto V, Schmidt C, Luxen A, Balteau E, Phillips C, Maquet P, Salmon E, Vandewalle G, Bastin C, Collette F. Positive Effect of Cognitive Reserve on Episodic Memory, Executive and Attentional Functions Taking Into Account Amyloid-Beta, Tau, and Apolipoprotein E Status. Front Aging Neurosci 2021; 13:666181. [PMID: 34122044 PMCID: PMC8194490 DOI: 10.3389/fnagi.2021.666181] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 04/20/2021] [Indexed: 01/01/2023] Open
Abstract
Studies exploring the simultaneous influence of several physiological and environmental factors on domain-specific cognition in late middle-age remain scarce. Therefore, our objective was to determine the respective contribution of modifiable risk/protective factors (cognitive reserve and allostatic load) on specific cognitive domains (episodic memory, executive functions, and attention), taking into account non-modifiable factors [sex, age, and genetic risk for Alzheimer's disease (AD)] and AD-related biomarker amount (amyloid-beta and tau/neuroinflammation) in a healthy late-middle-aged population. One hundred and one healthy participants (59.4 ± 5 years; 68 women) were evaluated for episodic memory, executive and attentional functioning via neuropsychological test battery. Cognitive reserve was determined by the National Adult Reading Test. The allostatic load consisted of measures of lipid metabolism and sympathetic nervous system functioning. The amyloid-beta level was assessed using positron emission tomography in all participants, whereas tau/neuroinflammation positron emission tomography scans and apolipoprotein E genotype were available for 58 participants. Higher cognitive reserve was the main correlate of better cognitive performance across all domains. Moreover, age was negatively associated with attentional functioning, whereas sex was a significant predictor for episodic memory, with women having better performance than men. Finally, our results did not show clear significant associations between performance over any cognitive domain and apolipoprotein E genotype and AD biomarkers. This suggests that domain-specific cognition in late healthy midlife is mainly determined by a combination of modifiable (cognitive reserve) and non-modifiable factors (sex and age) rather than by AD biomarkers and genetic risk for AD.
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Affiliation(s)
- Justinas Narbutas
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - Daphne Chylinski
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Maxime Van Egroo
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Mohamed Ali Bahri
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Ekaterina Koshmanova
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Gabriel Besson
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Vincenzo Muto
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christina Schmidt
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - André Luxen
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Evelyne Balteau
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christophe Phillips
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Pierre Maquet
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
- Department of Neurology, CHU de Liège, Liège, Belgium
| | - Eric Salmon
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
- Department of Neurology, CHU de Liège, Liège, Belgium
| | - Gilles Vandewalle
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christine Bastin
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - Fabienne Collette
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
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21
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Physical Activity and Inhibitory Control: The Mediating Role of Sleep Quality and Sleep Efficiency. Brain Sci 2021; 11:brainsci11050664. [PMID: 34069547 PMCID: PMC8160741 DOI: 10.3390/brainsci11050664] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 05/17/2021] [Indexed: 01/25/2023] Open
Abstract
Objectives: the current study aimed to investigate the relationship between physical activity (PA) level and inhibitory control performance and then to determine whether this association was mediated by multiple sleep parameters (i.e., subjective sleep quality, sleep duration, sleep efficiency, and sleep disturbance). Methods: 180 healthy university students (age: 20.15 ± 1.92 years) from the East China Normal University were recruited for the present study. PA level, sleep parameters, and inhibitory control performance were assessed using the International Physical Activity Questionnaire (IPAQ), the Pittsburgh Sleep Quality Index Scale (PSQI), and a Stroop test, respectively. The data were analyzed using structural equation modeling. Results: A higher level of PA was linked to better cognitive performance. Furthermore, higher subjective sleep quality and sleep efficiency were associated with better inhibitory control performance. The mediation analysis revealed that subjective sleep quality and sleep efficiency mediated the relationship between PA level and inhibitory control performance. Conclusion: our results are in accordance with the literature and buttress the idea that a healthy lifestyle that involves a relatively high level of regular PA and adequate sleep patterns is beneficial for cognition (e.g., inhibitory control performance). Furthermore, our study adds to the literature that sleep quality and sleep efficiency mediates the relationship between PA and inhibitory control performance, expanding our knowledge in the field of exercise cognition.
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Falck RS, Davis JC, Best JR, Chan PCY, Li LC, Wyrough AB, Bennett KJ, Backhouse D, Liu-Ambrose T. Effect of a Multimodal Lifestyle Intervention on Sleep and Cognitive Function in Older Adults with Probable Mild Cognitive Impairment and Poor Sleep: A Randomized Clinical Trial. J Alzheimers Dis 2021; 76:179-193. [PMID: 32444553 DOI: 10.3233/jad-200383] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Poor sleep is common among older adults with mild cognitive impairment (MCI) and may contribute to further cognitive decline. Whether multimodal lifestyle intervention that combines bright light therapy (BLT), physical activity (PA), and good sleep hygiene can improve sleep in older adults with MCI and poor sleep is unknown. OBJECTIVE To assess the effect of a multimodal lifestyle intervention on sleep in older adults with probable MCI and poor sleep. METHODS This was a 24-week proof-of-concept randomized trial of 96 community-dwelling older adults aged 65-85 years with probable MCI (<26/30 on the Montreal Cognitive Assessment) and poor sleep (>5 on the Pittsburgh Sleep Quality Index [PSQI]). Participants were allocated to either a multimodal lifestyle intervention (INT); or 2) education + attentional control (CON). INT participants received four once-weekly general sleep hygiene education classes, followed by 20-weeks of: 1) individually-timed BLT; and 2) individually-tailored PA promotion. Our primary outcome was sleep efficiency measured using the MotionWatch8© (MW8). Secondary outcomes were MW8-measured sleep duration, fragmentation index, wake-after-sleep-onset, latency, and PSQI-measured subjective sleep quality. RESULTS There were no significant between-group differences in MW8 measured sleep efficiency at 24-weeks (estimated mean difference [INT -CON]: 1.18%; 95% CI [-0.99, 3.34]), or any other objective-estimate of sleep. However, INT participants reported significantly better subjective sleep quality at 24-weeks (estimated mean difference: -1.39; 95% CI [-2.72, -0.06]) compared to CON. CONCLUSION Among individuals with probable MCI and poor sleep, a multimodal lifestyle intervention improves subjective sleep quality, but not objectively estimated sleep.
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Affiliation(s)
- Ryan S Falck
- Aging, Mobility, and Cognitive Neuroscience Lab, Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada.,Djavad Mowafaghian Centre for Brain Health, Vancouver Coastal Health Research Institute. University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jennifer C Davis
- Faculty of Management, University of British Columbia-Okanagan Campus, Kelowna, British Columbia, Canada
| | - John R Best
- Aging, Mobility, and Cognitive Neuroscience Lab, Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada.,Djavad Mowafaghian Centre for Brain Health, Vancouver Coastal Health Research Institute. University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada
| | - Patrick C Y Chan
- Aging, Mobility, and Cognitive Neuroscience Lab, Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada.,Djavad Mowafaghian Centre for Brain Health, Vancouver Coastal Health Research Institute. University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada
| | - Linda C Li
- Arthritis Research Canada, University of British Columbia, Vancouver, British Columbia, Canada
| | - Anne B Wyrough
- Aging, Mobility, and Cognitive Neuroscience Lab, Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada.,Djavad Mowafaghian Centre for Brain Health, Vancouver Coastal Health Research Institute. University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada
| | - Kimberly J Bennett
- Aging, Mobility, and Cognitive Neuroscience Lab, Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada.,Djavad Mowafaghian Centre for Brain Health, Vancouver Coastal Health Research Institute. University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada
| | - Daniel Backhouse
- Aging, Mobility, and Cognitive Neuroscience Lab, Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada.,Djavad Mowafaghian Centre for Brain Health, Vancouver Coastal Health Research Institute. University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada
| | - Teresa Liu-Ambrose
- Aging, Mobility, and Cognitive Neuroscience Lab, Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada.,Djavad Mowafaghian Centre for Brain Health, Vancouver Coastal Health Research Institute. University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada
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23
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Backhouse D, Falck RS, Liu-Ambrose T. An automatic estimation of the rest-interval for MotionWatch8© using uniaxial movement and lux data. SLEEP SCIENCE AND PRACTICE 2020. [DOI: 10.1186/s41606-020-00051-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Poor sleep is linked with chronic conditions common in older adults, including diabetes, heart disease, and dementia. Valid and reliable field methods to objectively measure sleep are thus greatly needed to examine how poor sleep impacts older adults. Wrist-worn actigraphy (WWA) is a common objective measure of sleep that uses motion and illuminance data to estimate sleep. The rest-interval marks the time interval between when an individual attempts to sleep and the time they get out of bed to start their day. Traditionally, the rest-interval is scored manually by trained technicians, however algorithms currently exist which automatically score WWA data, saving time and providing consistency from user-to-user. However, these algorithms ignore illuminance data and only considered motion in their estimation of the rest-interval. This study therefore examines a novel algorithm that uses illuminance data to supplement the approximation of the rest-interval from motion data.
Methods
We examined a total of 1086 days of data of 129 participants who wore the MotionWatch8© WWA for ≥14 nights of observation. Resultant sleep measures from three different parameter settings were compared to sleep measures derived following a standard scoring protocol and self-report times.
Results
The algorithm showed the strongest correlation to the standard protocol (r = 0.92 for sleep duration). There were no significant differences in sleep duration, sleep efficiency and fragmentation index estimates compared to the standard scoring protocol.
Conclusion
These results suggest that an automated rest-interval scoring method using both light exposure and acceleration data provides comparable accuracy to the standard scoring method.
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24
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Refining sleep measurement using the Motionwatch8©: how many days of monitoring do we need to get reliable estimates of sleep quality for older adults with mild cognitive impairment? SLEEP SCIENCE AND PRACTICE 2020. [DOI: 10.1186/s41606-020-00048-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
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25
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Stillman CM, Esteban-Cornejo I, Brown B, Bender CM, Erickson KI. Effects of Exercise on Brain and Cognition Across Age Groups and Health States. Trends Neurosci 2020; 43:533-543. [PMID: 32409017 DOI: 10.1016/j.tins.2020.04.010] [Citation(s) in RCA: 161] [Impact Index Per Article: 40.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 04/22/2020] [Accepted: 04/23/2020] [Indexed: 01/01/2023]
Abstract
Exercise has been shown to benefit brain structure and function, particularly in aging populations. However, the mechanisms by which exercise exerts its effects, especially in humans, are not fully understood. This review argues that one reason for this knowledge gap is that exercise likely operates through multiple levels of mechanisms. Furthermore, the mechanisms of exercise may vary depending on factors such as age and health state. We discuss the state of evidence at each of three levels of analysis (molecular/cellular, brain structure/function, and mental states and higher-order behaviors) and highlight consistencies across these levels, inconsistencies within them, and knowledge gaps. Lastly, based on these, we speculate about which mechanisms of exercise may be universal across age groups and populations versus those that might be distinct to specific age ranges or populations.
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Affiliation(s)
| | - Irene Esteban-Cornejo
- 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
| | - Belinda Brown
- College of Science, Health, Engineering, and Education, Murdoch University, Perth, Australia
| | | | - Kirk I Erickson
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA; College of Science, Health, Engineering, and Education, Murdoch University, Perth, Australia.
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26
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Yuan M, Fu H, Liu R, Fang Y. Effect of Frequency of Exercise on Cognitive Function in Older Adults: Serial Mediation of Depression and Quality of Sleep. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E709. [PMID: 31979038 PMCID: PMC7037160 DOI: 10.3390/ijerph17030709] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 01/17/2020] [Accepted: 01/20/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Sleep quality and depression are two reciprocal causation socioemotional factors and their roles in the relationship between physical exercise and cognition are still unclear. METHODS A face-to-face survey of 3230 older adults aged 60+ was conducted in Xiamen, China, in 2016. Frequency of exercise (FOE) referred to the number of days of exercise per week. Quality of sleep (QOS) was categorized into five levels: very poor/poor/fair/good/excellent. The 15-item Geriatric Depression Scale (GDS-15) and the Montreal Cognitive Assessment (MoCA) were used to measure depression (DEP) and cognitive function (CF), respectively. Serial multiple mediator models were used. All mediation analyses were analyzed using the SPSS PROCESS macro. RESULTS 2469 respondents had valid data with mean scores for GDS-15 and MoCA being 1.87 and 21.61, respectively. The direct path from FOE to CF was significant (c'= 0.20, p < 0.001). A higher FOE was associated with better QOS (B = 0.04, p < 0.01), which in turn was associated with fewer symptoms of DEP (B = -0.40, p < 0.001), and further contributed to better CF (B = -0.24, p < 0.001). Similarly, a higher FOE was associated with lower GDS-15 scores (B = -0.17, p < 0.001) which then resulted in higher MoCA scores (B = -0.24, p < 0.001). However, QOS alone did not alter the relationship between FOE and CF. CONCLUSIONS FOE is a protective factor of CF in older adults. Moreover, CF is influenced by QOS through DEP, without which the working path may disappear.
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Affiliation(s)
- Manqiong Yuan
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 361102 Xiamen, China;
- Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health, Xiamen University, 361102, Xiamen, China;
| | - Hanhan Fu
- Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health, Xiamen University, 361102, Xiamen, China;
| | - Ruoyun Liu
- School of Public Health, Xiamen University, 361102, Xiamen, China;
| | - Ya Fang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 361102 Xiamen, China;
- Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health, Xiamen University, 361102, Xiamen, China;
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Cognitive efficiency in late midlife is linked to lifestyle characteristics and allostatic load. Aging (Albany NY) 2019; 11:7169-7186. [PMID: 31503006 PMCID: PMC6756890 DOI: 10.18632/aging.102243] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 08/22/2019] [Indexed: 01/03/2023]
Abstract
We investigated whether cognitive fitness in late midlife is associated with physiological and psychological factors linked to increased risk of age-related cognitive decline. Eighty-one healthy late middle-aged participants (mean age: 59.4 y; range: 50-69 y) were included. Cognitive fitness consisted of a composite score known to be sensitive to early subtle cognitive change. Lifestyle factors (referenced below as cognitive reserve factors; CRF) and affective state were determined through questionnaires, and sleep-wake quality was also assessed through actimetry. Allostatic load (AL) was determined through a large range of objective health measures. Generalized linear mixed models, controlling for sex and age, revealed that higher cognitive reserve and lower allostatic load are related to better cognitive efficiency. Crystallized intelligence, sympathetic nervous system functioning and lipid metabolism were the only sub-fields of CRF and AL to be significantly associated with cognition. These results show that previous lifestyle characteristics and current physiological status are simultaneously explaining variability in cognitive abilities in late midlife. Results further encourage early multimodal prevention programs acting on both of these modifiable factors to preserve cognition during the aging process.
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28
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Falck RS, Best JR, Davis JC, Eng JJ, Middleton LE, Hall PA, Liu-Ambrose T. Sleep and cognitive function in chronic stroke: a comparative cross-sectional study. Sleep 2019; 42:5364812. [DOI: 10.1093/sleep/zsz040] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Revised: 01/10/2019] [Indexed: 12/21/2022] Open
Affiliation(s)
- Ryan S Falck
- University of British Columbia, Faculty of Medicine, Aging, Mobility and Cognitive Neuroscience Laboratory, Djavad Mowafaghian Centre for Brain Health and Centre for Hip Health and Mobility, Vancouver, BC, Canada
| | - John R Best
- University of British Columbia, Faculty of Medicine, Aging, Mobility and Cognitive Neuroscience Laboratory, Djavad Mowafaghian Centre for Brain Health and Centre for Hip Health and Mobility, Vancouver, BC, Canada
| | - Jennifer C Davis
- University of British Columbia-Okanagan Campus, Faculty of Management, Kelowna, BC, Canada
| | - Janice J Eng
- Department of Physical Therapy, University of British Columbia, Faculty of Medicine, Neurorehabilitation Research Program, GFS Rehabilitation Centre, Vancouver, BC, Canada
| | - Laura E Middleton
- Department of Kinesiology, University of Waterloo, Waterloo, ON, Canada
| | - Peter A Hall
- University of Waterloo, School of Public Health and Health Systems, Waterloo, ON, Canada
| | - Teresa Liu-Ambrose
- University of British Columbia, Faculty of Medicine, Aging, Mobility and Cognitive Neuroscience Laboratory, Djavad Mowafaghian Centre for Brain Health and Centre for Hip Health and Mobility, Vancouver, BC, Canada
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29
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Guadagni V, Clark CM, Tyndall A, Raneri JK, Parboosingh JS, Hogan DB, Hanly PJ, Poulin MJ. Effects of Six-Month Aerobic Exercise Intervention on Sleep in Healthy Older Adults in the Brain in Motion Study: A Pilot Study. J Alzheimers Dis Rep 2018; 2:229-238. [PMID: 30599044 PMCID: PMC6311349 DOI: 10.3233/adr-180079] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Background Sleep disturbances have been shown to be associated with the presence of the apolipoprotein (APOE) ɛ4 allele, the well-known genetic risk factor for late-onset sporadic Alzheimer's disease (AD). Objective This study quantifies the effects of a six-month aerobic exercise intervention on objective and subjective sleep quality in middle-aged to older individuals including those at increased genetic risk for late-onset sporadic Alzheimer's disease (AD), who carry the apolipoprotein (APOE) ɛ4 risk allele. Methods 199 sedentary men and women without significant cognitive impairments were enrolled in the Brain in Motion study, a quasi-experimental single group pre-test/post-test study with no control group. Participants completed a six-month aerobic exercise intervention and consented to genetic testing. Genotyping of APOE confirmed that 54 individuals were carriers of the ɛ4 allele. Participants' subjective quality of sleep was assessed with the Pittsburgh Sleep Quality Index (PSQI) pre- and post-intervention. A convenience sample of participants (n = 29, APOE ɛ4+ = 7) consented to undergo two nights of in-home polysomnography (PSG) pre- and post intervention. Sleep architecture and respiratory variables were assessed. Results The six-month aerobic exercise intervention significantly improved participants' total PSQI score, sleep efficiency, and sleep latency in the full sample (n = 199). PSG results showed that total sleep time and sleep onset latency significantly improved over the course of the exercise intervention only in individuals who carried the APOE ɛ4 allele. These results are, however, exploratory and need to be carefully interpreted due to the rather small number of APOE ɛ4+ in the PSG subgroup. Conclusions The six-month aerobic exercise intervention significantly improved participants' sleep quality with beneficial effects on PSG shown in individuals at increased genetic risk for late-onset sporadic AD.
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Affiliation(s)
- Veronica Guadagni
- Department of Physiology and Pharmacology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Cameron M Clark
- Department of Physiology and Pharmacology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Amanda Tyndall
- Department of Physiology and Pharmacology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Jill K Raneri
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Sleep Centre, Foothills Medical Centre, Calgary, AB, Canada
| | - Jillian S Parboosingh
- Department of Medical Genetics, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute for Child and Maternal Health, Calgary, AB, Canada
| | - David B Hogan
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Patrick J Hanly
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Sleep Centre, Foothills Medical Centre, Calgary, AB, Canada
| | - Marc J Poulin
- Department of Physiology and Pharmacology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Libin Cardiovascular Institute of Alberta, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada
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30
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Best JR, Falck RS, Landry GJ, Liu-Ambrose T. Analysis of dynamic, bidirectional associations in older adult physical activity and sleep quality. J Sleep Res 2018; 28:e12769. [PMID: 30198153 DOI: 10.1111/jsr.12769] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 07/26/2018] [Accepted: 08/15/2018] [Indexed: 11/28/2022]
Abstract
Sleep quality and physical activity (PA) appear to be interrelated; thus, by promoting one behaviour, it may be possible to improve the other in older adults. Examination of the within-person day-to-day variation in PA and sleep quality could potentially elucidate the directionality of the association of these behaviours. We measured sleep quality (i.e. fragmentation, efficiency, duration and latency) and moderate-to-vigorous PA using the MotionWatch8© over 14 consecutive days and nights in community-dwelling adults (n = 152; age range 53-101 years). Multilevel modelling estimated within-subject autoregressive and cross-lagged effects and between-subject associations between PA and sleep quality. On days when individuals engaged in a high amount of PA on one day (relative to their averages), they were more likely to engage in a high amount of PA on the next day (estimate, 0.19; 95% CI, 0.14, 0.24). Nights in which individuals had a long sleep latency were followed by nights in which they also had a long sleep latency (estimate, 0.09; 95% CI, 0.03, 0.14). In contrast, nights in which individuals slept for a long period of time were followed by nights in which they slept relatively less than their averages (estimate, -0.09; 95% CI, -0.13, -0.04). When individuals engaged in a large amount of PA during the day, they tended to sleep longer that following night (estimate, 0.01; 95% CI, 0.001, 0.02). All other associations between PA and sleep quality were not significant. Increasing PA therefore might increase sleep duration in older adults.
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Affiliation(s)
- John R Best
- Faculty of Medicine, Aging, Mobility and Cognitive Neuroscience Laboratory, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute and University of British Columbia, Vancouver, British Columbia, Canada
| | - Ryan S Falck
- Faculty of Medicine, Aging, Mobility and Cognitive Neuroscience Laboratory, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute and University of British Columbia, Vancouver, British Columbia, Canada
| | - Glenn J Landry
- Faculty of Medicine, Aging, Mobility and Cognitive Neuroscience Laboratory, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute and University of British Columbia, Vancouver, British Columbia, Canada
| | - Teresa Liu-Ambrose
- Faculty of Medicine, Aging, Mobility and Cognitive Neuroscience Laboratory, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute and University of British Columbia, Vancouver, British Columbia, Canada
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