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Hsu CL, Holtzer R, Tam RC, Al Keridy W, Liu-Ambrose T. Physical reserve and its underpinning functional neural networks moderate the relationship between white matter hyperintensity and postural balance in older adults with subcortical ischemic vascular cognitive impairment. Sci Rep 2024; 14:17161. [PMID: 39060551 PMCID: PMC11282073 DOI: 10.1038/s41598-024-68050-1] [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: 05/03/2024] [Accepted: 07/18/2024] [Indexed: 07/28/2024] Open
Abstract
White matter hyperintensities (WMH) are markers of subcortical ischemic vascular cognitive impairment (SIVCI) associated with impaired postural balance. Physical reserve (PR) is a recently established construct that reflects one's capacity to maintain physical function despite brain pathology. This cross-sectional study aims to map functional networks associated with PR, and examining the relationship between PR, WMH, and postural balance. PR was defined in 22 community-dwelling older adults with SIVCI. Functional networks of PR were computed using general linear model. Subsequent analyses examined whether PR and relevant networks moderated the relationship between WMH and postural balance under two conditions-eyes open while standing on foam (EOF) or on floor (EONF). We found that PR and the relevant networks-frontoparietal network (FPN) and default mode network (DMN)-significantly moderated the association between WMH and postural balance. For individuals with high PR, postural balance remained stable regardless of the extent of WMH load; whereas for those with low PR, postural balance worsened as WMH load increased. These results suggest the attenuated effects of WMH on postural stability due to PR may be underpinned by functional neural network reorganization in the FPN and DMN as a part of compensatory processes.
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Affiliation(s)
- Chun Liang Hsu
- The Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong, SAR, China.
| | - Roee Holtzer
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, USA
| | - Roger C Tam
- Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada
- Centre for Aging SMART at Vancouver Coastal Health, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
| | - Walid Al Keridy
- Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Division of Neurology, University of British Columbia Hospital, Vancouver, BC, Canada
- Geriatric Division, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
- Department of Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Teresa Liu-Ambrose
- Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Centre for Aging SMART at Vancouver Coastal Health, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
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Fan D, Zhao H, Liu H, Niu H, Liu T, Wang Y. Abnormal brain activities of cognitive processes in cerebral small vessel disease: A systematic review of task fMRI studies. J Neuroradiol 2024; 51:155-167. [PMID: 37844660 DOI: 10.1016/j.neurad.2023.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 10/13/2023] [Accepted: 10/13/2023] [Indexed: 10/18/2023]
Abstract
Cerebral small vessel disease (CSVD) is characterized by widespread functional changes in the brain, as evident from abnormal brain activations during cognitive tasks. However, the existing findings in this area are not yet conclusive. We systematically reviewed 25 studies reporting task-related fMRI in five cognitive domains in CSVD, namely executive function, working memory, processing speed, motor, and affective processing. The findings highlighted: (1) CSVD affects cognitive processes in a domain-specific manner; (2) Compensatory and regulatory effects were observed simultaneously in CSVD, which may reflect the interplay between the negative impact of brain lesion and the positive impact of cognitive reserve. Combined with behavioral and functional findings in CSVD, we proposed an integrated model to illustrate the relationship between altered activations and behavioral performance in different stages of CSVD: functional brain changes may precede and be more sensitive than behavioral impairments in the early pre-symptomatic stage; Meanwhile, compensatory and regulatory mechanisms often occur in the early stages of the disease, while dysfunction/decompensation and dysregulation often occur in the late stages. Overall, abnormal hyper-/hypo-activations are crucial for understanding the mechanisms of small vessel lesion-induced behavioral dysfunction, identifying potential neuromarker and developing interventions to mitigate the impact of CSVD on cognitive function.
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Affiliation(s)
- Dongqiong Fan
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Haichao Zhao
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China; Faculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing, China
| | - Hao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Haijun Niu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Tao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
| | - Yilong Wang
- Department of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China; Chinese Institute for Brain Research, Beijing, China; National Center for Neurological Disorders, Beijing, China.
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3
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Lin JC, Chen IH, Cheng FY. Review articles (Meta-Analyses) effects of walking on cognitive function in individuals with mild cognitive impairment: a systematic review and meta-analysis. BMC Geriatr 2023; 23:500. [PMID: 37605156 PMCID: PMC10441758 DOI: 10.1186/s12877-023-04235-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 08/14/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND Mild cognitive impairment (MCI) is the stage between the expected cognitive decline of normal aging and the more serious decline of dementia. Previous studies have shown that regular exercise can improve cognition and physical performance in older adults. Walking is a low-technology and low-cost exercise that has been proven to improve cognition and mobility in healthy elderly individuals. However, no systematic review or meta-analysis has explored whether walking can improve cognitive function in older adults with MCI. This study aimed to explore the effects of walking interventions on cognitive functions in individuals with MCI. METHODS In accordance with the PRISMA guidelines, MEDLINE, PubMed, SPORTDiscus, Cochrane Central Register of Controlled Trials, CINAHL, Web of Science, Airiti Library, and the National Digital Library of Theses and Dissertations in Taiwan were searched from inception to July 2023. Independent reviewers selected randomized clinical trials (RCT) that compared the effects of walking with no intervention or other exercises in individuals with MCI. The primary outcomes were cognitive functions, and the secondary outcome was walking endurance. Three reviewers independently conducted data extraction. The risk of bias was assessed using the Revised Cochrane Risk of Bias assessment tool. RESULTS Fourteen RCTs were included in this review. The quality of evidence in these studies was rated as good to excellent. The results of the meta-analysis showed that the individuals with MCI had no significant improvement in cognitive function but had significant improvement in the 6-min walk test (Mean Difference=23.70, p=0.008) after walking interventions compared to no intervention or other exercises. CONCLUSION Walking intervention has no significant improvement on cognitive functions in older adults with MCI. However, walking induces beneficial effects on aerobic capacity. TRIAL REGISTRATION This systematic review has the registration number CRD42021283753 on PROSPERO.
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Affiliation(s)
- Jia-Chi Lin
- MacKay Medical College, Institute of Long-Term Care, No.46, Sec. 3, Zhongzheng Rd, Sanzhi Dist, New Taipei City, 252, Taiwan
| | - I-Hsuan Chen
- Department of Physical Therapy, Fooyin University, Kaohsiung City, Taiwan
| | - Fang-Yu Cheng
- MacKay Medical College, Institute of Long-Term Care, No.46, Sec. 3, Zhongzheng Rd, Sanzhi Dist, New Taipei City, 252, Taiwan.
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Laurienti PJ, Miller ME, Lyday RG, Boyd MC, Tanase AD, Burdette JH, Hugenschmidt CE, Rejeski WJ, Simpson SL, Baker LD, Tomlinson CE, Kritchevsky SB. Associations of physical function and body mass index with functional brain networks in community-dwelling older adults. Neurobiol Aging 2023; 127:43-53. [PMID: 37054493 PMCID: PMC10227726 DOI: 10.1016/j.neurobiolaging.2023.03.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 03/13/2023] [Accepted: 03/16/2023] [Indexed: 04/15/2023]
Abstract
Deficits in physical function that occur with aging contribute to declines in quality of life and increased mortality. There has been a growing interest in examining associations between physical function and neurobiology. Whereas high levels of white matter disease have been found in individuals with mobility impairments in structural brain studies, much less is known about the relationship between physical function and functional brain networks. Even less is known about the association between modifiable risk factors such as body mass index (BMI) and functional brain networks. The current study examined baseline functional brain networks in 192 individuals from the Brain Networks and mobility (B-NET) study, an ongoing longitudinal, observational study in community-dwelling adults aged 70 and older. Physical function and BMI were found to be associated with sensorimotor and dorsal attention network connectivity. There was a synergistic interaction such that high physical function and low BMI were associated with the highest network integrity. White matter disease did not modify these relationships. Future work is needed to understand the causal direction of these relationships.
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Affiliation(s)
- Paul J Laurienti
- Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
| | - Michael E Miller
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Robert G Lyday
- Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Madeline C Boyd
- Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Alexis D Tanase
- Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Jonathan H Burdette
- Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Christina E Hugenschmidt
- Sticht Center for Healthy Aging and Alzheimer's Prevention, Department of Internal Medicine Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - W Jack Rejeski
- Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA
| | - Sean L Simpson
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Laura D Baker
- Sticht Center for Healthy Aging and Alzheimer's Prevention, Department of Internal Medicine Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Chal E Tomlinson
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Stephen B Kritchevsky
- Sticht Center for Healthy Aging and Alzheimer's Prevention, Department of Internal Medicine Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
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Festa F, Medori S, Macrì M. Move Your Body, Boost Your Brain: The Positive Impact of Physical Activity on Cognition across All Age Groups. Biomedicines 2023; 11:1765. [PMID: 37371860 DOI: 10.3390/biomedicines11061765] [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: 04/23/2023] [Revised: 06/11/2023] [Accepted: 06/16/2023] [Indexed: 06/29/2023] Open
Abstract
While the physical improvements from exercise have been well documented over the years, the impact of physical activity on mental health has recently become an object of interest. Physical exercise improves cognition, particularly attention, memory, and executive functions. However, the mechanisms underlying these effects have yet to be fully understood. Consequently, we conducted a narrative literature review concerning the association between acute and chronic physical activity and cognition to provide an overview of exercise-induced benefits during the lifetime of a person. Most previous papers mainly reported exercise-related greater expression of neurotransmitter and neurotrophic factors. Recently, structural and functional magnetic resonance imaging techniques allowed for the detection of increased grey matter volumes for specific brain regions and substantial modifications in the default mode, frontoparietal, and dorsal attention networks following exercise. Here, we highlighted that physical activity induced significant changes in functional brain activation and cognitive performance in every age group and could counteract psychological disorders and neural decline. No particular age group gained better benefits from exercise, and a specific exercise type could generate better cognitive improvements for a selected target subject. Further research should develop appropriate intervention programs concerning age and comorbidity to achieve the most significant cognitive outcomes.
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Affiliation(s)
- Felice Festa
- Department of Innovative Technologies in Medicine & Dentistry, University "G. D'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy
| | - Silvia Medori
- Department of Innovative Technologies in Medicine & Dentistry, University "G. D'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy
| | - Monica Macrì
- Department of Innovative Technologies in Medicine & Dentistry, University "G. D'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy
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Bray NW, Pieruccini-Faria F, Witt ST, Bartha R, Doherty TJ, Nagamatsu LS, Almeida QJ, Liu-Ambrose T, Middleton LE, Bherer L, Montero-Odasso M. Combining exercise with cognitive training and vitamin D 3 to improve functional brain connectivity (FBC) in older adults with mild cognitive impairment (MCI). Results from the SYNERGIC trial. GeroScience 2023:10.1007/s11357-023-00805-6. [PMID: 37162700 PMCID: PMC10170058 DOI: 10.1007/s11357-023-00805-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 04/20/2023] [Indexed: 05/11/2023] Open
Abstract
Changes in functional brain connectivity (FBC) may indicate how lifestyle modifications can prevent the progression to dementia; FBC identifies areas that are spatially separate but temporally synchronized in their activation and is altered in those with mild cognitive impairment (MCI), a prodromal state between healthy cognitive aging and dementia. Participants with MCI were randomly assigned to one of five study arms. Three times per week for 20-weeks, participants performed 30-min of (control) cognitive training, followed by 60-min of (control) physical exercise. Additionally, a vitamin D3 (10,000 IU/pill) or a placebo capsule was ingested three times per week for 20-weeks. Using the CONN toolbox, we measured FBC change (Post-Pre) across four statistical models that collapsed for and/or included some or all study arms. We conducted Pearson correlations between FBC change and changes in physical and cognitive functioning. Our sample included 120 participants (mean age: 73.89 ± 6.50). Compared to the pure control, physical exercise (model one; p-False Discovery Rate (FDR) < 0.01 & < 0.05) with cognitive training (model two; p-FDR = < 0.001), and all three interventions combined (model four; p-FDR = < 0.01) demonstrated an increase in FBC between regions of the Default-Mode Network (i.e., hippocampus and angular gyrus). After controlling for false discovery rate, there were no significant correlations between change in connectivity and change in cognitive or physical function. Physical exercise alone appears to be as efficacious as combined interventional strategies in altering FBC, but implications for behavioral outcomes remain unclear.
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Affiliation(s)
- Nick W Bray
- Cumming School of Medicine, Department of Physiology & Pharmacology, University of Calgary, Calgary, AB, T2N 1N4, Canada.
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, T2N 1N4, Canada.
- Gait and Brain Lab, Parkwood Institute, Lawson Health Research Institute, 550 Wellington Road, Room A3-116, London, ON, N6C-0A7, Canada.
| | - Frederico Pieruccini-Faria
- Gait and Brain Lab, Parkwood Institute, Lawson Health Research Institute, 550 Wellington Road, Room A3-116, London, ON, N6C-0A7, Canada
- Department of Medicine, Division of Geriatric Medicine, Schulich School of Medicine & Dentistry, Western University, London, ON, N6A-5C1, Canada
| | - Suzanne T Witt
- BrainsCAN, Western University, London, ON, N6A-3K7, Canada
| | - Robert Bartha
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A-5C1, Canada
- Robarts Research Institute, Western University, London, ON, N6A-5B7, Canada
| | - Timothy J Doherty
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A-5C1, Canada
- Department of Physical Medicine and Rehabilitation, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A-5C1, Canada
| | - Lindsay S Nagamatsu
- Faculty of Health Sciences, School of Kinesiology, Western University, London, ON, N6G-2V4, Canada
| | - Quincy J Almeida
- Faculty of Science, Department of Kinesiology and Physical Education, Wilfrid Laurier University, Waterloo, ON, N2L-3C5, Canada
| | - Teresa Liu-Ambrose
- Department of Physical Therapy, University of British Columbia, Vancouver, BC, V6T-1Z3, Canada
- Centre for Aging SMART at Vancouver Coastal Health, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
| | - Laura E Middleton
- Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, N2L-3G1, Canada
| | - Louis Bherer
- Department of Medicine, University of Montréal, Montréal, QC, H3T-1J4, Canada
- Research Centre, Montreal Heart Institute, Montréal, QC, H1T-1C8, Canada
| | - Manuel Montero-Odasso
- Gait and Brain Lab, Parkwood Institute, Lawson Health Research Institute, 550 Wellington Road, Room A3-116, London, ON, N6C-0A7, Canada.
- Department of Medicine, Division of Geriatric Medicine, Schulich School of Medicine & Dentistry, Western University, London, ON, N6A-5C1, Canada.
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON, N6A-5C1, Canada.
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Pa J, Aslanyan V, Casaletto KB, Rentería MA, Harrati A, Tom SE, Armstrong N, Rajan K, Avila-Rieger J, Gu Y, Schupf N, Manly JJ, Brickman A, Zahodne L. Effects of Sex, APOE4, and Lifestyle Activities on Cognitive Reserve in Older Adults. Neurology 2022; 99:e789-e798. [PMID: 35858818 PMCID: PMC9484731 DOI: 10.1212/wnl.0000000000200675] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 03/18/2022] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Lifestyle activities, such as physical activity and cognitive stimulation, may mitigate age-associated cognitive decline, delay dementia onset, and increase cognitive reserve. Whether the association between lifestyle activities and cognitive reserve differs by sex and APOE4 status is an understudied yet critical component for informing targeted prevention strategies. The current study examined interactions between sex and physical or cognitive activities on cognitive reserve for speed and memory in older adults. METHODS Research participants with unimpaired cognition, mild cognitive impairment, or dementia from the Washington Heights-Inwood Columbia Aging Cohort were included in this study. Cognitive reserve scores for speed and memory were calculated by regressing out hippocampal volume, total gray matter volume, and white matter hyperintensity volume from composite cognitive scores for speed and memory, respectively. Self-reported physical activity was assessed using the Godin Leisure Time Exercise Questionnaire, converted to metabolic equivalents (METS). Self-reported cognitive activity (COGACT) was calculated as the sum of 3 yes/no questions. Sex by activity interactions and sex-stratified analyses were conducted using multivariable linear regression models, including a secondary analysis with APOE4 as a moderating factor. RESULTS Seven hundred fifty-eight participants (mean age = 76.11 ± 6.31 years, 62% women) were included in this study. Higher METS was associated with greater speed reserve in women (β = 0.04, CI 0.0-08) but not in men (β = 0.004, CI -0.04 to 0.05). METS was not associated with memory reserve in women or men. More COGACT was associated with greater speed reserve in the cohort (β = 0.13, CI 0.05-0.21). More COGACT had a trend for greater memory reserve in women (β = 0.06, CI -0.02 to 0.14) but not in men (β = -0.04, CI -0.16 to 0.08). Only among women, APOE4 carrier status attenuated relationships between METS and speed reserve (β = -0.09, CI -0.22 to 0.04) and between COGACT and both speed (β = -0.26, CI -0.63 to 0.11) and memory reserves (β = -0.20, CI -0.50.0 to 093). DISCUSSION The associations of self-reported physical and cognitive activities with cognitive reserve are more pronounced in women, although APOE4 attenuates these associations. Future studies are needed to understand the causal relationship among sex, lifestyle activities, and genetic factors on cognitive reserve in older adults to best understand which lifestyle activities may be most beneficial and for whom.
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Affiliation(s)
- Judy Pa
- From the Alzheimer's Disease Cooperative Study (J.P.), Department of Neurosciences, School of Medicine, UCSD Health, San Diego, CA; Mark and Mary Stevens Neuroimaging and Informatics Institute (J.P., V.A.), USC Alzheimer Disease Research Center, Department of Neurology, University of Southern California, Los Angeles; Department of Population and Public Health Sciences (V.A.), Keck School of Medicine, University of Southern California, Los Angeles; Memory and Aging Center (K.B.C.), Department of Neurology, University of California, San Francisco; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.A.R., J.A.-R., Y.G., N.S., J.J.M., A.B.), Department of Neurology, Columbia University, New York City; Center for Population Health Sciences (A.H.), Department of Primary Care and Population Health, Stanford University, CA; Department of Neurology (S.E.T.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City; Laboratory of Behavioral Neuroscience (N.A.), National Institute on Aging, Bethesda, MD; Department of Psychiatry and Human Behavior (N.A.), Warren Alpert Medical School of Brown University, Providence, RI; Department of Public Health Sciences (K.R.), University of California, Davis; and Department of Psychology (L.Z.), University of Michigan, Ann Arbor.
| | - Vahan Aslanyan
- From the Alzheimer's Disease Cooperative Study (J.P.), Department of Neurosciences, School of Medicine, UCSD Health, San Diego, CA; Mark and Mary Stevens Neuroimaging and Informatics Institute (J.P., V.A.), USC Alzheimer Disease Research Center, Department of Neurology, University of Southern California, Los Angeles; Department of Population and Public Health Sciences (V.A.), Keck School of Medicine, University of Southern California, Los Angeles; Memory and Aging Center (K.B.C.), Department of Neurology, University of California, San Francisco; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.A.R., J.A.-R., Y.G., N.S., J.J.M., A.B.), Department of Neurology, Columbia University, New York City; Center for Population Health Sciences (A.H.), Department of Primary Care and Population Health, Stanford University, CA; Department of Neurology (S.E.T.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City; Laboratory of Behavioral Neuroscience (N.A.), National Institute on Aging, Bethesda, MD; Department of Psychiatry and Human Behavior (N.A.), Warren Alpert Medical School of Brown University, Providence, RI; Department of Public Health Sciences (K.R.), University of California, Davis; and Department of Psychology (L.Z.), University of Michigan, Ann Arbor
| | - Kaitlin B Casaletto
- From the Alzheimer's Disease Cooperative Study (J.P.), Department of Neurosciences, School of Medicine, UCSD Health, San Diego, CA; Mark and Mary Stevens Neuroimaging and Informatics Institute (J.P., V.A.), USC Alzheimer Disease Research Center, Department of Neurology, University of Southern California, Los Angeles; Department of Population and Public Health Sciences (V.A.), Keck School of Medicine, University of Southern California, Los Angeles; Memory and Aging Center (K.B.C.), Department of Neurology, University of California, San Francisco; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.A.R., J.A.-R., Y.G., N.S., J.J.M., A.B.), Department of Neurology, Columbia University, New York City; Center for Population Health Sciences (A.H.), Department of Primary Care and Population Health, Stanford University, CA; Department of Neurology (S.E.T.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City; Laboratory of Behavioral Neuroscience (N.A.), National Institute on Aging, Bethesda, MD; Department of Psychiatry and Human Behavior (N.A.), Warren Alpert Medical School of Brown University, Providence, RI; Department of Public Health Sciences (K.R.), University of California, Davis; and Department of Psychology (L.Z.), University of Michigan, Ann Arbor
| | - Miguel Arce Rentería
- From the Alzheimer's Disease Cooperative Study (J.P.), Department of Neurosciences, School of Medicine, UCSD Health, San Diego, CA; Mark and Mary Stevens Neuroimaging and Informatics Institute (J.P., V.A.), USC Alzheimer Disease Research Center, Department of Neurology, University of Southern California, Los Angeles; Department of Population and Public Health Sciences (V.A.), Keck School of Medicine, University of Southern California, Los Angeles; Memory and Aging Center (K.B.C.), Department of Neurology, University of California, San Francisco; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.A.R., J.A.-R., Y.G., N.S., J.J.M., A.B.), Department of Neurology, Columbia University, New York City; Center for Population Health Sciences (A.H.), Department of Primary Care and Population Health, Stanford University, CA; Department of Neurology (S.E.T.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City; Laboratory of Behavioral Neuroscience (N.A.), National Institute on Aging, Bethesda, MD; Department of Psychiatry and Human Behavior (N.A.), Warren Alpert Medical School of Brown University, Providence, RI; Department of Public Health Sciences (K.R.), University of California, Davis; and Department of Psychology (L.Z.), University of Michigan, Ann Arbor
| | - Amal Harrati
- From the Alzheimer's Disease Cooperative Study (J.P.), Department of Neurosciences, School of Medicine, UCSD Health, San Diego, CA; Mark and Mary Stevens Neuroimaging and Informatics Institute (J.P., V.A.), USC Alzheimer Disease Research Center, Department of Neurology, University of Southern California, Los Angeles; Department of Population and Public Health Sciences (V.A.), Keck School of Medicine, University of Southern California, Los Angeles; Memory and Aging Center (K.B.C.), Department of Neurology, University of California, San Francisco; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.A.R., J.A.-R., Y.G., N.S., J.J.M., A.B.), Department of Neurology, Columbia University, New York City; Center for Population Health Sciences (A.H.), Department of Primary Care and Population Health, Stanford University, CA; Department of Neurology (S.E.T.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City; Laboratory of Behavioral Neuroscience (N.A.), National Institute on Aging, Bethesda, MD; Department of Psychiatry and Human Behavior (N.A.), Warren Alpert Medical School of Brown University, Providence, RI; Department of Public Health Sciences (K.R.), University of California, Davis; and Department of Psychology (L.Z.), University of Michigan, Ann Arbor
| | - Sarah E Tom
- From the Alzheimer's Disease Cooperative Study (J.P.), Department of Neurosciences, School of Medicine, UCSD Health, San Diego, CA; Mark and Mary Stevens Neuroimaging and Informatics Institute (J.P., V.A.), USC Alzheimer Disease Research Center, Department of Neurology, University of Southern California, Los Angeles; Department of Population and Public Health Sciences (V.A.), Keck School of Medicine, University of Southern California, Los Angeles; Memory and Aging Center (K.B.C.), Department of Neurology, University of California, San Francisco; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.A.R., J.A.-R., Y.G., N.S., J.J.M., A.B.), Department of Neurology, Columbia University, New York City; Center for Population Health Sciences (A.H.), Department of Primary Care and Population Health, Stanford University, CA; Department of Neurology (S.E.T.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City; Laboratory of Behavioral Neuroscience (N.A.), National Institute on Aging, Bethesda, MD; Department of Psychiatry and Human Behavior (N.A.), Warren Alpert Medical School of Brown University, Providence, RI; Department of Public Health Sciences (K.R.), University of California, Davis; and Department of Psychology (L.Z.), University of Michigan, Ann Arbor
| | - Nicole Armstrong
- From the Alzheimer's Disease Cooperative Study (J.P.), Department of Neurosciences, School of Medicine, UCSD Health, San Diego, CA; Mark and Mary Stevens Neuroimaging and Informatics Institute (J.P., V.A.), USC Alzheimer Disease Research Center, Department of Neurology, University of Southern California, Los Angeles; Department of Population and Public Health Sciences (V.A.), Keck School of Medicine, University of Southern California, Los Angeles; Memory and Aging Center (K.B.C.), Department of Neurology, University of California, San Francisco; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.A.R., J.A.-R., Y.G., N.S., J.J.M., A.B.), Department of Neurology, Columbia University, New York City; Center for Population Health Sciences (A.H.), Department of Primary Care and Population Health, Stanford University, CA; Department of Neurology (S.E.T.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City; Laboratory of Behavioral Neuroscience (N.A.), National Institute on Aging, Bethesda, MD; Department of Psychiatry and Human Behavior (N.A.), Warren Alpert Medical School of Brown University, Providence, RI; Department of Public Health Sciences (K.R.), University of California, Davis; and Department of Psychology (L.Z.), University of Michigan, Ann Arbor
| | - Kumar Rajan
- From the Alzheimer's Disease Cooperative Study (J.P.), Department of Neurosciences, School of Medicine, UCSD Health, San Diego, CA; Mark and Mary Stevens Neuroimaging and Informatics Institute (J.P., V.A.), USC Alzheimer Disease Research Center, Department of Neurology, University of Southern California, Los Angeles; Department of Population and Public Health Sciences (V.A.), Keck School of Medicine, University of Southern California, Los Angeles; Memory and Aging Center (K.B.C.), Department of Neurology, University of California, San Francisco; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.A.R., J.A.-R., Y.G., N.S., J.J.M., A.B.), Department of Neurology, Columbia University, New York City; Center for Population Health Sciences (A.H.), Department of Primary Care and Population Health, Stanford University, CA; Department of Neurology (S.E.T.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City; Laboratory of Behavioral Neuroscience (N.A.), National Institute on Aging, Bethesda, MD; Department of Psychiatry and Human Behavior (N.A.), Warren Alpert Medical School of Brown University, Providence, RI; Department of Public Health Sciences (K.R.), University of California, Davis; and Department of Psychology (L.Z.), University of Michigan, Ann Arbor
| | - Justina Avila-Rieger
- From the Alzheimer's Disease Cooperative Study (J.P.), Department of Neurosciences, School of Medicine, UCSD Health, San Diego, CA; Mark and Mary Stevens Neuroimaging and Informatics Institute (J.P., V.A.), USC Alzheimer Disease Research Center, Department of Neurology, University of Southern California, Los Angeles; Department of Population and Public Health Sciences (V.A.), Keck School of Medicine, University of Southern California, Los Angeles; Memory and Aging Center (K.B.C.), Department of Neurology, University of California, San Francisco; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.A.R., J.A.-R., Y.G., N.S., J.J.M., A.B.), Department of Neurology, Columbia University, New York City; Center for Population Health Sciences (A.H.), Department of Primary Care and Population Health, Stanford University, CA; Department of Neurology (S.E.T.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City; Laboratory of Behavioral Neuroscience (N.A.), National Institute on Aging, Bethesda, MD; Department of Psychiatry and Human Behavior (N.A.), Warren Alpert Medical School of Brown University, Providence, RI; Department of Public Health Sciences (K.R.), University of California, Davis; and Department of Psychology (L.Z.), University of Michigan, Ann Arbor
| | - Yian Gu
- From the Alzheimer's Disease Cooperative Study (J.P.), Department of Neurosciences, School of Medicine, UCSD Health, San Diego, CA; Mark and Mary Stevens Neuroimaging and Informatics Institute (J.P., V.A.), USC Alzheimer Disease Research Center, Department of Neurology, University of Southern California, Los Angeles; Department of Population and Public Health Sciences (V.A.), Keck School of Medicine, University of Southern California, Los Angeles; Memory and Aging Center (K.B.C.), Department of Neurology, University of California, San Francisco; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.A.R., J.A.-R., Y.G., N.S., J.J.M., A.B.), Department of Neurology, Columbia University, New York City; Center for Population Health Sciences (A.H.), Department of Primary Care and Population Health, Stanford University, CA; Department of Neurology (S.E.T.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City; Laboratory of Behavioral Neuroscience (N.A.), National Institute on Aging, Bethesda, MD; Department of Psychiatry and Human Behavior (N.A.), Warren Alpert Medical School of Brown University, Providence, RI; Department of Public Health Sciences (K.R.), University of California, Davis; and Department of Psychology (L.Z.), University of Michigan, Ann Arbor
| | - Nicole Schupf
- From the Alzheimer's Disease Cooperative Study (J.P.), Department of Neurosciences, School of Medicine, UCSD Health, San Diego, CA; Mark and Mary Stevens Neuroimaging and Informatics Institute (J.P., V.A.), USC Alzheimer Disease Research Center, Department of Neurology, University of Southern California, Los Angeles; Department of Population and Public Health Sciences (V.A.), Keck School of Medicine, University of Southern California, Los Angeles; Memory and Aging Center (K.B.C.), Department of Neurology, University of California, San Francisco; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.A.R., J.A.-R., Y.G., N.S., J.J.M., A.B.), Department of Neurology, Columbia University, New York City; Center for Population Health Sciences (A.H.), Department of Primary Care and Population Health, Stanford University, CA; Department of Neurology (S.E.T.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City; Laboratory of Behavioral Neuroscience (N.A.), National Institute on Aging, Bethesda, MD; Department of Psychiatry and Human Behavior (N.A.), Warren Alpert Medical School of Brown University, Providence, RI; Department of Public Health Sciences (K.R.), University of California, Davis; and Department of Psychology (L.Z.), University of Michigan, Ann Arbor
| | - Jennifer J Manly
- From the Alzheimer's Disease Cooperative Study (J.P.), Department of Neurosciences, School of Medicine, UCSD Health, San Diego, CA; Mark and Mary Stevens Neuroimaging and Informatics Institute (J.P., V.A.), USC Alzheimer Disease Research Center, Department of Neurology, University of Southern California, Los Angeles; Department of Population and Public Health Sciences (V.A.), Keck School of Medicine, University of Southern California, Los Angeles; Memory and Aging Center (K.B.C.), Department of Neurology, University of California, San Francisco; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.A.R., J.A.-R., Y.G., N.S., J.J.M., A.B.), Department of Neurology, Columbia University, New York City; Center for Population Health Sciences (A.H.), Department of Primary Care and Population Health, Stanford University, CA; Department of Neurology (S.E.T.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City; Laboratory of Behavioral Neuroscience (N.A.), National Institute on Aging, Bethesda, MD; Department of Psychiatry and Human Behavior (N.A.), Warren Alpert Medical School of Brown University, Providence, RI; Department of Public Health Sciences (K.R.), University of California, Davis; and Department of Psychology (L.Z.), University of Michigan, Ann Arbor
| | - Adam Brickman
- From the Alzheimer's Disease Cooperative Study (J.P.), Department of Neurosciences, School of Medicine, UCSD Health, San Diego, CA; Mark and Mary Stevens Neuroimaging and Informatics Institute (J.P., V.A.), USC Alzheimer Disease Research Center, Department of Neurology, University of Southern California, Los Angeles; Department of Population and Public Health Sciences (V.A.), Keck School of Medicine, University of Southern California, Los Angeles; Memory and Aging Center (K.B.C.), Department of Neurology, University of California, San Francisco; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.A.R., J.A.-R., Y.G., N.S., J.J.M., A.B.), Department of Neurology, Columbia University, New York City; Center for Population Health Sciences (A.H.), Department of Primary Care and Population Health, Stanford University, CA; Department of Neurology (S.E.T.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City; Laboratory of Behavioral Neuroscience (N.A.), National Institute on Aging, Bethesda, MD; Department of Psychiatry and Human Behavior (N.A.), Warren Alpert Medical School of Brown University, Providence, RI; Department of Public Health Sciences (K.R.), University of California, Davis; and Department of Psychology (L.Z.), University of Michigan, Ann Arbor
| | - Laura Zahodne
- From the Alzheimer's Disease Cooperative Study (J.P.), Department of Neurosciences, School of Medicine, UCSD Health, San Diego, CA; Mark and Mary Stevens Neuroimaging and Informatics Institute (J.P., V.A.), USC Alzheimer Disease Research Center, Department of Neurology, University of Southern California, Los Angeles; Department of Population and Public Health Sciences (V.A.), Keck School of Medicine, University of Southern California, Los Angeles; Memory and Aging Center (K.B.C.), Department of Neurology, University of California, San Francisco; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.A.R., J.A.-R., Y.G., N.S., J.J.M., A.B.), Department of Neurology, Columbia University, New York City; Center for Population Health Sciences (A.H.), Department of Primary Care and Population Health, Stanford University, CA; Department of Neurology (S.E.T.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City; Laboratory of Behavioral Neuroscience (N.A.), National Institute on Aging, Bethesda, MD; Department of Psychiatry and Human Behavior (N.A.), Warren Alpert Medical School of Brown University, Providence, RI; Department of Public Health Sciences (K.R.), University of California, Davis; and Department of Psychology (L.Z.), University of Michigan, Ann Arbor
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8
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The Effect of Deep Micro Vibrotactile Stimulation on Cognitive Function of Mild Cognitive Impairment and Mild Dementia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19073803. [PMID: 35409485 PMCID: PMC8997479 DOI: 10.3390/ijerph19073803] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 03/20/2022] [Accepted: 03/21/2022] [Indexed: 12/12/2022]
Abstract
Background: The purpose of this study was to clarify the effect of Deep Micro Vibrotactile (DMV) stimulation on the cognitive functions in elderly people with mild cognitive impairment or mild dementia. Methods: A total of 35 participants with dementia from three nursing homes, who had completed treatment with DMV stimulation at 15−40 Hz (hereinafter, 15−40 Hz DMV stimulation) for a month were recruited for this study. The subjects had received continuous 15−40 Hz DMV stimulation for 24 h a day for 1 month. We assessed the effect of the treatment on the cognitive functions (by the word list memory (WM) test, trail making test-part A (TMT-A) and part B (TMT-B), and symbol digit substitution task (SDST)) and physical functions (grip strength (GS) and usual walking speed (UWS)), by comparing the results at the baseline and after the 1-month intervention (DMV stimulation). Results: The results revealed that the performances in the WM test (p < 0.05), TMT-B (p < 0.05), and SDST (p < 0.01) improved significantly after the intervention. Conclusion: Our findings suggest that 15−40 Hz DMV stimulation is might be effective for improving the cognitive functions in elderly people with dementia. Furthermore, our novel findings showed the different effectiveness of the treatment depending on the stage of cognitive impairments.
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9
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Nicolini C, Nelson AJ. Current Methodological Pitfalls and Caveats in the Assessment of Exercise-Induced Changes in Peripheral Brain-Derived Neurotrophic Factor: How Result Reproducibility Can Be Improved. FRONTIERS IN NEUROERGONOMICS 2021; 2:678541. [PMID: 38235217 PMCID: PMC10790889 DOI: 10.3389/fnrgo.2021.678541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 05/04/2021] [Indexed: 01/19/2024]
Abstract
Neural mechanisms, such as enhanced neuroplasticity within the motor system, underpin exercise-induced motor improvements. Being a key mediator of motor plasticity, brain-derived neurotrophic factor (BDNF) is likely to play an important role in mediating exercise positive effects on motor function. Difficulties in assessing brain BDNF levels in humans have drawn attention to quantification of blood BDNF and raise the question of whether peripheral BDNF contributes to exercise-related motor improvements. Methodological and non-methodological factors influence measurements of blood BDNF introducing a substantial variability that complicates result interpretation and leads to inconsistencies among studies. Here, we discuss methodology-related issues and approaches emerging from current findings to reduce variability and increase result reproducibility.
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Affiliation(s)
| | - Aimee J. Nelson
- Department of Kinesiology, McMaster University, Hamilton, ON, Canada
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10
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Crockett RA, Falck RS, Dao E, Hsu CL, Tam R, Alkeridy W, Liu-Ambrose T. Sweat the Fall Stuff: Physical Activity Moderates the Association of White Matter Hyperintensities With Falls Risk in Older Adults. Front Hum Neurosci 2021; 15:671464. [PMID: 34093153 PMCID: PMC8175638 DOI: 10.3389/fnhum.2021.671464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 04/29/2021] [Indexed: 11/26/2022] Open
Abstract
Background: Falls in older adults are a major public health problem. White matter hyperintensities (WMHs) are highly prevalent in older adults and are a risk factor for falls. In the absence of a cure for WMHs, identifying potential strategies to counteract the risk of WMHs on falls are of great importance. Physical activity (PA) is a promising countermeasure to reduce both WMHs and falls risk. However, no study has yet investigated whether PA attenuates the association of WMHs with falls risk. We hypothesized that PA moderates the association between WMHs and falls risk. Methods: Seventy-six community-dwelling older adults aged 70–80 years old were included in this cross-sectional study. We indexed PA using the Physical Activity Score for the Elderly (PASE) Questionnaire. Falls risk was assessed using the Physiological Profile Assessment (PPA), and WMH volume (mm3) was determined by an experienced radiologist on T2-weighted and PD-weighted MRI scans. We first examined the independent associations of WMH volume and PASE score with PPA. Subsequently, we examined whether PASE moderated the relationship between WMH volume and PPA. We plotted simple slopes to interpret the interaction effects. Age, sex, and Montreal Cognitive Assessment (MoCA) score were included as covariates in all models. Results: Participants had a mean age of 74 years (SD = 3 years) and 54 (74%) were female. Forty-nine participants (66%) had a Fazekas score of 1, 19 (26%) had a score of 2, and 6 (8%) a score of 3. Both PASE (β = −0.26 ± 0.11; p = 0.022) and WMH volume (β = 0.23 ± 0.11; p = 0.043) were each independently associated with PPA score. The interaction model indicated that PASE score moderated the association between WMH volume and PPA (β = −0.27 ± 0.12; p = 0.030), whereby higher PASE score attenuated the association between WMHs and falls risk. Conclusion: PA is an important moderator of falls risk. Importantly, older adults with WMH can reduce their risk of falls by increasing their PA.
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Affiliation(s)
- Rachel A Crockett
- Aging, Mobility, and Cognitive Neuroscience Laboratory, The University of British Columbia, Vancouver, BC, Canada.,Djavad Mowafaghian Centre for Brain Health, The University of British Columbia, Vancouver, BC, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
| | - Ryan S Falck
- Aging, Mobility, and Cognitive Neuroscience Laboratory, The University of British Columbia, Vancouver, BC, Canada.,Djavad Mowafaghian Centre for Brain Health, The University of British Columbia, Vancouver, BC, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
| | - Elizabeth Dao
- Aging, Mobility, and Cognitive Neuroscience Laboratory, The University of British Columbia, Vancouver, BC, Canada.,Djavad Mowafaghian Centre for Brain Health, The University of British Columbia, Vancouver, BC, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada.,Department of Radiology, The University of British Columbia, Vancouver, BC, Canada
| | - Chun Liang Hsu
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States.,Harvard Medical School, Harvard University, Boston, MA, United States
| | - Roger Tam
- Department of Radiology, The University of British Columbia, Vancouver, BC, Canada.,School of Biomedical Engineering, The University of British Columbia, Vancouver, BC, Canada
| | - Walid Alkeridy
- Djavad Mowafaghian Centre for Brain Health, The University of British Columbia, Vancouver, BC, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada.,Division of Geriatrics, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.,College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Teresa Liu-Ambrose
- Aging, Mobility, and Cognitive Neuroscience Laboratory, The University of British Columbia, Vancouver, BC, Canada.,Djavad Mowafaghian Centre for Brain Health, The University of British Columbia, Vancouver, BC, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
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11
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Bray NW, Pieruccini-Faria F, Bartha R, Doherty TJ, Nagamatsu LS, Montero-Odasso M. The effect of physical exercise on functional brain network connectivity in older adults with and without cognitive impairment. A systematic review. Mech Ageing Dev 2021; 196:111493. [PMID: 33887281 DOI: 10.1016/j.mad.2021.111493] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 04/09/2021] [Accepted: 04/13/2021] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Neurodegeneration is a biproduct of aging that results in concomitant cognitive decline. Physical exercise is an emerging intervention to improve brain health. The underlying neural mechanisms linking exercise to neurodegeneration, however, are unclear. Functional brain network connectivity (FBNC) refers to neural regions that are anatomically separate but temporally synched in functional signalling. FBNC can be measured using functional Magnetic Resonance Imaging (fMRI) and is affected by neurodegeneration. METHODS We conducted a systematic review using PubMed and EMBASE to assess the effect of physical exercise on FBNC in older adults with and without cognitive impairment. RESULTS Our search yielded 1474 articles; after exclusion, 13 were included in the final review, 8 of which focused on cognitively healthy older adults. 10 studies demonstrated an increase in FBNC post-exercise intervention, while 11 studies showed improvements in secondary outcomes (cognitive and/or physical performance). One study showed significant correlations between FBNC and cognitive performance measures that significantly improved post-intervention. DISCUSSION We found evidence that physical exercise increases FBNC. When assessing the association between FBNC with physical and cognitive functioning, careful consideration must be given to variability in exercise parameters, neural regions of interest and networks examined, and heterogeneity in methodological approaches.
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Affiliation(s)
- Nick W Bray
- Faculty of Health Sciences, School of Kinesiology, Western University, London, ON, Canada; Gait and Brain Lab, Lawson Health Research Institute, Parkwood Institute, London, ON, Canada.
| | - Frederico Pieruccini-Faria
- Gait and Brain Lab, Lawson Health Research Institute, Parkwood Institute, London, ON, Canada; Department of Medicine and Division of Geriatric Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
| | - Robert Bartha
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada; Robarts Research Institute, Western University, London, ON, Canada.
| | - Timothy J Doherty
- Faculty of Health Sciences, School of Kinesiology, Western University, London, ON, Canada; Neuromuscular Function Lab, Lawson Health Research Institute, Parkwood Institute, London, ON, Canada; Department of Clinical Neurological Sciences, Department of Physical Medicine and Rehabilitation, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
| | - Lindsay S Nagamatsu
- Faculty of Health Sciences, School of Kinesiology, Western University, London, ON, Canada; Exercise, Mobility and Brain Health Lab, Western University, London, ON, Canada; Brain and Mind Institute, Western University, London, ON, Canada.
| | - Manuel Montero-Odasso
- Faculty of Health Sciences, School of Kinesiology, Western University, London, ON, Canada; Gait and Brain Lab, Lawson Health Research Institute, Parkwood Institute, London, ON, Canada; Department of Medicine and Division of Geriatric Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada; Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
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12
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Shu Y, He Q, Xie Y, Zhang W, Zhai S, Wu T. Cognitive Gains of Aerobic Exercise in Patients With Ischemic Cerebrovascular Disorder: A Systematic Review and Meta-Analysis. Front Cell Dev Biol 2020; 8:582380. [PMID: 33392183 PMCID: PMC7775417 DOI: 10.3389/fcell.2020.582380] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Accepted: 12/03/2020] [Indexed: 12/20/2022] Open
Abstract
Background: Cognitive impairment has become an important problem in ischemic cerebrovascular disorder survivors as disease related deaths have been significantly reduced. Aerobic exercise, the most prevalent mode of physical activity, positively contributes to cognition in both healthy population and people with cognitive impairment. However, studies on its associations with cognitive gains in patients with ischemic cerebrovascular disease showed mixed findings. Objective: To explore the cognitive effects of aerobic exercise on ischemic cerebrovascular disorder survivors and investigate the possible moderators on exercise benefits. Method: Randomized controlled trials investigating the effects of sole aerobic exercise on cognitive function in population with ischemic intracranial vascular disorder compared to any control group who did not receive the intervention were enrolled in this systematic review and meta-analysis. Four online database (Pubmed, Cochrane Library, Embase, and Web of Science) were searched. Results: The initial search returned 1,522 citations and ultimately 11 studies were included in the systematic review. Analysis of seven studies showed the beneficial but not statistically significant impact of aerobic exercise on global cognitive function (0.13; 95% Cl -0.09 to 0.35; p = 0.25). Participants already with cognitive impairment benefited more from this intervention (0.31; 95% Cl 0.07-0.55; p = 0.01) and moderate intensity might be the optimal choice (0.34; 95% Cl -0.01 to 0.69; p = 0.06). The program duration and initiation time after stroke occurrence did not predict better cognitive outcome. Aerobic exercise was not associated with improvement of processing speed and executive function, the two subdomains of cognitive function. Conclusions: Aerobic exercise may contribute to cognitive gains in survivors of ischemic cerebrovascular disorder, especially for population already with cognitive decline. Our findings suggest that the adoption of moderate intensity aerobic exercise might improve cognition in such population.
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Affiliation(s)
- Yimei Shu
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qing He
- Department of Neurology, Xuzhou First People's Hospital, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yi Xie
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Wanrong Zhang
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Shuang Zhai
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ting Wu
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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13
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Martinez-Navarro I, Cordellat A, Roldán A, Sanchis G, Blasco-Lafarga C. 120 min/week of neuromotor multicomponent training are enough to improve executive function and functional fitness in older women. Exp Gerontol 2020; 145:111199. [PMID: 33310154 DOI: 10.1016/j.exger.2020.111199] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 12/07/2020] [Accepted: 12/08/2020] [Indexed: 11/26/2022]
Abstract
PURPOSE The study aimed at comparing the effects of a neuromotor multicomponent training program (MCTP) on executive function, functional fitness, blood pressure, body composition and health-related quality of life (HRQOL), compared with a concurrent strength and endurance exercise training program (CONTROL-EXE) and a cognitive training program (CONTROL-COG). METHODS 56 older women (73 ± 6 years) completed the 30-weeks intervention. The three groups attended two 60-min sessions per week and they were assessed before and after the intervention. RESULTS MCTP showed a moderate improvement in Stroop C condition (28 ± 7 vs 32 ± 8 correct items; p = 0.001; d = 0.53) and Stroop interference score (-7.4 ± 7.3 vs -3.7 ± 6.1; p = 0.035; d = 0.55), while no changes were observed among control groups. MCTP showed a small to moderate improvement in Timed Up and Go test (TUGT) (5.85 ± 0.58 vs 5.46 ± 0.56 s; p < 0.001; d = 0.71) and Chair-Stand test (CST) (18 ± 4 vs 19 ± 4 repetitions; p < 0.001; d = 0.47); while CONTROL-EXE only improved moderately at TUGT (7.02 ± 1.1 vs 6.44 ± 0.91 s; p = 0.005; d = 0.59) and CONTROL-COG showed a moderate to small worsening in TUGT, CST and handgrip strength. Additionally, MCTP enhanced body composition and HRQOL. Lastly, both exercise groups showed lowered blood pressure values. CONCLUSIONS Our results suggest that a neuromotor MCTP could be considered as a highly suitable training to enhance executive function, functional fitness, HRQOL and body composition in older women.
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Affiliation(s)
- Ignacio Martinez-Navarro
- Sport Performance and Physical Fitness Research Group (UIRFIDE), Department of Physical Education and Sports, University of Valencia, Valencia, Spain; Sports Health Unit, Vithas 9 de Octubre Hospital, Valencia, Spain.
| | - Ana Cordellat
- Sport Performance and Physical Fitness Research Group (UIRFIDE), Department of Physical Education and Sports, University of Valencia, Valencia, Spain
| | - Ainoa Roldán
- Sport Performance and Physical Fitness Research Group (UIRFIDE), Department of Physical Education and Sports, University of Valencia, Valencia, Spain
| | - Gema Sanchis
- Sport Performance and Physical Fitness Research Group (UIRFIDE), Department of Physical Education and Sports, University of Valencia, Valencia, Spain; Department of Didactic General and Specific Training, University of Alicante, Alicante, Spain
| | - Cristina Blasco-Lafarga
- Sport Performance and Physical Fitness Research Group (UIRFIDE), Department of Physical Education and Sports, University of Valencia, Valencia, Spain
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14
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Hsu CL, Crockett R, Chan P, Brinke LT, Doherty S, Liu-Ambrose T. Functional connectivity underpinning changes in life-space mobility in older adults with mild cognitive impairment: A 12-month prospective study. Behav Brain Res 2020; 378:112216. [PMID: 31597084 DOI: 10.1016/j.bbr.2019.112216] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 08/16/2019] [Accepted: 09/05/2019] [Indexed: 02/03/2023]
Abstract
Subtle changes in mobility exist among older adults with mild cognitive impairment (MCI). Life-space mobility defines the frequency and extent of movements in the environment, and lower life-space mobility is associated with adverse health outcomes and MCI. Currently, the underlying mechanism of this association is not well understood. This study examined the functional neural correlates of life-space mobility in community-dwelling older adults with MCI. We first conducted a cross-sectional investigation of the association between resting-state default mode network (DMN) and sensori-motor network (SMN) connectivity and life-space mobility (assessed by the Life-Space Assessment (LSA)) among 60 community-dwelling older adults with MCI using aggregated data from two studies - baseline data from a randomized controlled trial (n = 20) and baseline data from a 12-month prospective study (n = 40). Using data from the 12-month prospective study (n = 35), we then examined whether baseline internetwork connectivity predicts reduced life-space mobility over 12 months. The cross-sectional analysis showed higher DMN-SMN connectivity was associated with lower LSA scores after adjusting for baseline global cognitive function and baseline age (p < 0.01). A significant reduction in LSA scores was observed in the 35 participants of the 12-month prospective study (paired sample t-test mean change = -6.53, p = 0.01). Greater baseline DMN-SMN connectivity was associated with greater reduction in life-space mobility at 12 months (p = 0.04) after adjusting for baseline age, global cognitive function, and LSA score. Our findings suggest that lower and reduced life-space mobility in older adults with MCI may be due to altered functional architecture of the brain such that normal neuro-cognitive motor behaviours may be disrupted.
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Affiliation(s)
- Chun Liang Hsu
- Aging, Mobility, and Cognitive Neuroscience Lab, University of British Columbia, Vancouver, British Columbia, Canada; Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada; Djavad Mowafaghian Center for Brain Health, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada; Center for Hip Health and Mobility, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada
| | - Rachel Crockett
- Aging, Mobility, and Cognitive Neuroscience Lab, University of British Columbia, Vancouver, British Columbia, Canada; Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada; Djavad Mowafaghian Center for Brain Health, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada; Center for Hip Health and Mobility, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada
| | - Patrick Chan
- Aging, Mobility, and Cognitive Neuroscience Lab, University of British Columbia, Vancouver, British Columbia, Canada; Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada; Djavad Mowafaghian Center for Brain Health, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada; Center for Hip Health and Mobility, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada
| | - Lisanne Ten Brinke
- Aging, Mobility, and Cognitive Neuroscience Lab, University of British Columbia, Vancouver, British Columbia, Canada; Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada; Djavad Mowafaghian Center for Brain Health, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada; Center for Hip Health and Mobility, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada
| | - Stephanie Doherty
- Aging, Mobility, and Cognitive Neuroscience Lab, University of British Columbia, Vancouver, British Columbia, Canada; Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada; Djavad Mowafaghian Center for Brain Health, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada; Center 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, University of British Columbia, Vancouver, British Columbia, Canada; Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada; Djavad Mowafaghian Center for Brain Health, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada; Center for Hip Health and Mobility, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada.
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15
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Wang S, Li Y, Qiu S, Zhang C, Wang G, Xian J, Li T, He H. Reorganization of rich-clubs in functional brain networks during propofol-induced unconsciousness and natural sleep. NEUROIMAGE-CLINICAL 2020; 25:102188. [PMID: 32018124 PMCID: PMC6997627 DOI: 10.1016/j.nicl.2020.102188] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 12/31/2019] [Accepted: 01/18/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND General anesthesia (GA) provides an invaluable experimental tool to understand the essential neural mechanisms underlying consciousness. Previous neuroimaging studies have shown the functional integration and segregation of brain functional networks during anesthetic-induced alteration of consciousness. However, the organization pattern of hubs in functional brain networks remains unclear. Moreover, comparisons with the well-characterized physiological unconsciousness can help us understand the neural mechanisms of anesthetic-induced unconsciousness. METHODS Resting-state functional magnetic resonance imaging was performed during wakefulness, mild propofol-induced sedation (m-PIS), and deep PIS (d-PIS) with clinical unconsciousness on 8 healthy volunteers and wakefulness and natural sleep on 9 age- and sex-matched healthy volunteers. Large-scale functional brain networks of each volunteer were constructed based on 160 regions of interest. Then, rich-club organizations in brain functional networks and nodal properties (nodal strength and efficiency) were assessed and analyzed among the different states and groups. RESULTS Rich-clubs in the functional brain networks were reorganized during alteration of consciousness induced by propofol. Firstly, rich-club nodes were switched from the posterior cingulate cortex (PCC), angular gyrus, and anterior and middle insula to the inferior parietal lobule (IPL), inferior parietal sulcus (IPS), and cerebellum. When sedation was deepened to unconsciousness, the rich-club nodes were switched to the occipital and angular gyrus. These results suggest that the rich-club nodes were switched among the high-order cognitive function networks (default mode network [DMN] and fronto-parietal network [FPN]), sensory networks (occipital network [ON]), and cerebellum network (CN) from consciousness (wakefulness) to propofol-induced unconsciousness. At the same time, compared with wakefulness, local connections were switched to rich-club connections during propofol-induced unconsciousness, suggesting a strengthening of the overall information commutation of networks. Nodal efficiency of the anterior and middle insula and ventral frontal cortex was significantly decreased. Additionally, from wakefulness to natural sleep, a similar pattern of rich-club reorganization with propofol-induced unconsciousness was observed: rich-club nodes were switched from the DMN (including precuneus and PCC) to the sensorimotor network (SMN, including part of the frontal and temporal gyrus). Compared with natural sleep, nodal efficiency of the insula, frontal gyrus, PCC, and cerebellum significantly decreased during propofol-induced unconsciousness. CONCLUSIONS Our study demonstrated that the rich-club reorganization in functional brain networks is characterized by switching of rich-club nodes between the high-order cognitive and sensory and motor networks during propofol-induced alteration of consciousness and natural sleep. These findings will help understand the common neurological mechanism of pharmacological and physiological unconsciousness.
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Affiliation(s)
- Shengpei Wang
- Research Center for Brain-inspired Intelligence and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Yun Li
- Department of Anesthesia, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Shuang Qiu
- Research Center for Brain-inspired Intelligence and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Chuncheng Zhang
- Research Center for Brain-inspired Intelligence and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Guyan Wang
- Department of Anesthesia, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Junfang Xian
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Tianzuo Li
- Department of Anesthesia, Beijing Tongren Hospital, Capital Medical University, Beijing, China; Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
| | - Huiguang He
- Research Center for Brain-inspired Intelligence and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China.
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16
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Rathee D, Chowdhury A, Meena YK, Dutta A, McDonough S, Prasad G. Brain–Machine Interface-Driven Post-Stroke Upper-Limb Functional Recovery Correlates With Beta-Band Mediated Cortical Networks. IEEE Trans Neural Syst Rehabil Eng 2019; 27:1020-1031. [DOI: 10.1109/tnsre.2019.2908125] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Falck RS, Davis JC, Best JR, Crockett RA, Liu-Ambrose T. Impact of exercise training on physical and cognitive function among older adults: a systematic review and meta-analysis. Neurobiol Aging 2019; 79:119-130. [PMID: 31051329 DOI: 10.1016/j.neurobiolaging.2019.03.007] [Citation(s) in RCA: 207] [Impact Index Per Article: 41.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Revised: 03/03/2019] [Accepted: 03/16/2019] [Indexed: 01/01/2023]
Abstract
Exercise plays a key role in healthy aging by promoting both physical and cognitive function. Physical function and cognitive function appear to be interrelated and may share common mechanisms. Thus, exercise-induced improvements in physical function and cognitive function may co-occur and be associated with each other. However, no systematic review has specifically assessed and compared the effects of exercise on both physical function and cognitive function in older adults, and the association between changes in both outcomes after exercise training. Thus, we conducted a systematic review and meta-analysis (N = 48 studies) among older adults (60+ years). These data suggest exercise training has a significant benefit for both physical function (g = 0.39; p < 0.001) and cognitive function (g = 0.24; p < 0.001). At the study level, there was a positive correlation between the size of the exercise-induced effect on physical function and on cognitive function (b = 0.41; p = 0.002). Our results indicate exercise improves both physical and cognitive function, reiterating the notion that exercise is a panacea for aging well.
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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, British Columbia, Canada; Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada; Center for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada
| | - Jennifer C Davis
- Faculty of Management, University of British Columbia - Okanagan, Kelowna, British Columbia, Canada
| | - John R Best
- Aging, Mobility and Cognitive Neuroscience Laboratory, Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada; Center for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada
| | - Rachel A Crockett
- Aging, Mobility and Cognitive Neuroscience Laboratory, Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada; Center for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada
| | - Teresa Liu-Ambrose
- Aging, Mobility and Cognitive Neuroscience Laboratory, Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada; Center for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada.
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18
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Sherrington C, Fairhall NJ, Wallbank GK, Tiedemann A, Michaleff ZA, Howard K, Clemson L, Hopewell S, Lamb SE. Exercise for preventing falls in older people living in the community. Cochrane Database Syst Rev 2019; 1:CD012424. [PMID: 31789289 PMCID: PMC6360922 DOI: 10.1002/14651858.cd012424.pub2] [Citation(s) in RCA: 433] [Impact Index Per Article: 86.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND At least one-third of community-dwelling people over 65 years of age fall each year. Exercises that target balance, gait and muscle strength have been found to prevent falls in these people. An up-to-date synthesis of the evidence is important given the major long-term consequences associated with falls and fall-related injuries OBJECTIVES: To assess the effects (benefits and harms) of exercise interventions for preventing falls in older people living in the community. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase, three other databases and two trial registers up to 2 May 2018, together with reference checking and contact with study authors to identify additional studies. SELECTION CRITERIA We included randomised controlled trials (RCTs) evaluating the effects of any form of exercise as a single intervention on falls in people aged 60+ years living in the community. We excluded trials focused on particular conditions, such as stroke. DATA COLLECTION AND ANALYSIS We used standard methodological procedures expected by Cochrane. Our primary outcome was rate of falls. MAIN RESULTS We included 108 RCTs with 23,407 participants living in the community in 25 countries. There were nine cluster-RCTs. On average, participants were 76 years old and 77% were women. Most trials had unclear or high risk of bias for one or more items. Results from four trials focusing on people who had been recently discharged from hospital and from comparisons of different exercises are not described here.Exercise (all types) versus control Eighty-one trials (19,684 participants) compared exercise (all types) with control intervention (one not thought to reduce falls). Exercise reduces the rate of falls by 23% (rate ratio (RaR) 0.77, 95% confidence interval (CI) 0.71 to 0.83; 12,981 participants, 59 studies; high-certainty evidence). Based on an illustrative risk of 850 falls in 1000 people followed over one year (data based on control group risk data from the 59 studies), this equates to 195 (95% CI 144 to 246) fewer falls in the exercise group. Exercise also reduces the number of people experiencing one or more falls by 15% (risk ratio (RR) 0.85, 95% CI 0.81 to 0.89; 13,518 participants, 63 studies; high-certainty evidence). Based on an illustrative risk of 480 fallers in 1000 people followed over one year (data based on control group risk data from the 63 studies), this equates to 72 (95% CI 52 to 91) fewer fallers in the exercise group. Subgroup analyses showed no evidence of a difference in effect on both falls outcomes according to whether trials selected participants at increased risk of falling or not.The findings for other outcomes are less certain, reflecting in part the relatively low number of studies and participants. Exercise may reduce the number of people experiencing one or more fall-related fractures (RR 0.73, 95% CI 0.56 to 0.95; 4047 participants, 10 studies; low-certainty evidence) and the number of people experiencing one or more falls requiring medical attention (RR 0.61, 95% CI 0.47 to 0.79; 1019 participants, 5 studies; low-certainty evidence). The effect of exercise on the number of people who experience one or more falls requiring hospital admission is unclear (RR 0.78, 95% CI 0.51 to 1.18; 1705 participants, 2 studies, very low-certainty evidence). Exercise may make little important difference to health-related quality of life: conversion of the pooled result (standardised mean difference (SMD) -0.03, 95% CI -0.10 to 0.04; 3172 participants, 15 studies; low-certainty evidence) to the EQ-5D and SF-36 scores showed the respective 95% CIs were much smaller than minimally important differences for both scales.Adverse events were reported to some degree in 27 trials (6019 participants) but were monitored closely in both exercise and control groups in only one trial. Fourteen trials reported no adverse events. Aside from two serious adverse events (one pelvic stress fracture and one inguinal hernia surgery) reported in one trial, the remainder were non-serious adverse events, primarily of a musculoskeletal nature. There was a median of three events (range 1 to 26) in the exercise groups.Different exercise types versus controlDifferent forms of exercise had different impacts on falls (test for subgroup differences, rate of falls: P = 0.004, I² = 71%). Compared with control, balance and functional exercises reduce the rate of falls by 24% (RaR 0.76, 95% CI 0.70 to 0.81; 7920 participants, 39 studies; high-certainty evidence) and the number of people experiencing one or more falls by 13% (RR 0.87, 95% CI 0.82 to 0.91; 8288 participants, 37 studies; high-certainty evidence). Multiple types of exercise (most commonly balance and functional exercises plus resistance exercises) probably reduce the rate of falls by 34% (RaR 0.66, 95% CI 0.50 to 0.88; 1374 participants, 11 studies; moderate-certainty evidence) and the number of people experiencing one or more falls by 22% (RR 0.78, 95% CI 0.64 to 0.96; 1623 participants, 17 studies; moderate-certainty evidence). Tai Chi may reduce the rate of falls by 19% (RaR 0.81, 95% CI 0.67 to 0.99; 2655 participants, 7 studies; low-certainty evidence) as well as reducing the number of people who experience falls by 20% (RR 0.80, 95% CI 0.70 to 0.91; 2677 participants, 8 studies; high-certainty evidence). We are uncertain of the effects of programmes that are primarily resistance training, or dance or walking programmes on the rate of falls and the number of people who experience falls. No trials compared flexibility or endurance exercise versus control. AUTHORS' CONCLUSIONS Exercise programmes reduce the rate of falls and the number of people experiencing falls in older people living in the community (high-certainty evidence). The effects of such exercise programmes are uncertain for other non-falls outcomes. Where reported, adverse events were predominantly non-serious.Exercise programmes that reduce falls primarily involve balance and functional exercises, while programmes that probably reduce falls include multiple exercise categories (typically balance and functional exercises plus resistance exercises). Tai Chi may also prevent falls but we are uncertain of the effect of resistance exercise (without balance and functional exercises), dance, or walking on the rate of falls.
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Affiliation(s)
- Catherine Sherrington
- The University of SydneyInstitute for Musculoskeletal Health, School of Public Health, Faculty of Medicine and HealthPO Box 179Missenden RoadSydneyNSWAustralia2050
| | - Nicola J Fairhall
- The University of SydneyInstitute for Musculoskeletal Health, School of Public Health, Faculty of Medicine and HealthPO Box 179Missenden RoadSydneyNSWAustralia2050
| | - Geraldine K Wallbank
- The University of SydneyInstitute for Musculoskeletal Health, School of Public Health, Faculty of Medicine and HealthPO Box 179Missenden RoadSydneyNSWAustralia2050
| | - Anne Tiedemann
- The University of SydneyInstitute for Musculoskeletal Health, School of Public Health, Faculty of Medicine and HealthPO Box 179Missenden RoadSydneyNSWAustralia2050
| | - Zoe A Michaleff
- The University of SydneyInstitute for Musculoskeletal Health, School of Public Health, Faculty of Medicine and HealthPO Box 179Missenden RoadSydneyNSWAustralia2050
| | - Kirsten Howard
- The University of SydneySchool of Public HealthSydneyNSWAustralia2006
| | - Lindy Clemson
- The University of SydneyFaculty of Health SciencesEast St. LidcombeLidcombeNSWAustralia1825
| | - Sally Hopewell
- University of OxfordNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)Botnar Research Centre, Windmill RoadOxfordOxfordshireUKOX3 7LD
| | - Sarah E Lamb
- University of OxfordNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)Botnar Research Centre, Windmill RoadOxfordOxfordshireUKOX3 7LD
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Liu-Ambrose T, Barha C, Falck RS. Active body, healthy brain: Exercise for healthy cognitive aging. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2019; 147:95-120. [PMID: 31607364 DOI: 10.1016/bs.irn.2019.07.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The world's population is aging and promoting healthy cognitive aging is a public health priority and challenge. Physical activity is a modifiable lifestyle factor that has been identified as positively impacting the cognitive health of older adults with and without cognitive impairment. This chapter current evidence from epidemiological and intervention studies (i.e., randomized controlled trials) on the role of physical activity and exercise in promoting cognitive health in older adults both with and without cognitive impairment. Biological sex as a potential moderator of exercise efficacy is also discussed. We conclude with future directions for this rapidly expanding line of research.
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Affiliation(s)
- Teresa Liu-Ambrose
- Department of Physical Therapy, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada.
| | - Cindy Barha
- Department of Physical Therapy, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
| | - Ryan S Falck
- Department of Physical Therapy, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
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20
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Zilidou VI, Frantzidis CA, Romanopoulou ED, Paraskevopoulos E, Douka S, Bamidis PD. Functional Re-organization of Cortical Networks of Senior Citizens After a 24-Week Traditional Dance Program. Front Aging Neurosci 2018; 10:422. [PMID: 30618727 PMCID: PMC6308125 DOI: 10.3389/fnagi.2018.00422] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 12/04/2018] [Indexed: 12/22/2022] Open
Abstract
Neuroscience is developing rapidly by providing a variety of modern tools for analyzing the functional interactions of the brain and detection of pathological deviations due to neurodegeneration. The present study argues that the induction of neuroplasticity of the mature human brain leads to the prevention of dementia. Promising solution seems to be the dance programs because they combine cognitive and physical activity in a pleasant way. So, we investigated whether the traditional Greek dances can improve the cognitive, physical and functional status of the elderly always aiming at promoting active and healthy aging. Forty-four participants were randomly assigned equally to the training group and an active control group. The duration of the program was 6 months. Also, the participants were evaluated for their physical status and through an electroencephalographic (EEG) examination at rest (eyes-closed condition). The EEG testing was performed 1–14 days before (pre) and after (post) the training. Cortical network analysis was applied by modeling the cortex through a generic anatomical model of 20,000 fixed dipoles. These were grouped into 512 cortical regions of interest (ROIs). High quality, artifact-free data resulting from an elaborate pre-processing pipeline were segmented into multiple, 30 s of continuous epochs. Then, functional connectivity among those ROIs was performed for each epoch through the relative wavelet entropy (RWE). Synchronization matrices were computed and then thresholded in order to provide binary, directed cortical networks of various density ranges. The results showed that the dance training improved optimal network performance as estimated by the small-world property. Further analysis demonstrated that there were also local network changes resulting in better information flow and functional re-organization of the network nodes. These results indicate the application of the dance training as a possible non-pharmacological intervention for promoting mental and physical well-being of senior citizens. Our results were also compared with a combination of computerized cognitive and physical training, which has already been demonstrated to induce neuroplasticity (LLM Care).
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Affiliation(s)
- Vasiliki I Zilidou
- Laboratory of Medical Physics, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece.,Department of Physical Activity and Recreation, School of Physical Education and Sport Science, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Christos A Frantzidis
- Laboratory of Medical Physics, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Evangelia D Romanopoulou
- Laboratory of Medical Physics, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Evangelos Paraskevopoulos
- Laboratory of Medical Physics, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Styliani Douka
- Department of Physical Activity and Recreation, School of Physical Education and Sport Science, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Panagiotis D Bamidis
- Laboratory of Medical Physics, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
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Abstract
Engaging in targeted exercise interventions is a promising, non-pharmacological strategy to mitigate the deleterious effects of aging and disease on brain health. However, despite its therapeutic potential, a large amount of variation exists in exercise efficacy in older adults aged 55 and older. In this review, we present the argument that biological sex may be an important moderator of the relationship between physical activity and cognition. Sex differences exist in dementia as well as in several associated risk factors, including genetics, cardiovascular factors, inflammation, hormones and social and psychological factors. Different exercise interventions, such as aerobic training and resistance training, influence cognition and brain health in older adults and these effects may be sex-dependent. The biological mechanisms underlying the beneficial effects of exercise on the brain may be different in males and females. Specifically, we examine sex differences in neuroplasticity, neurotrophic factors and physiological effects of exercise to highlight the possible mediators of sex differences in exercise efficacy on cognition. Future studies should address the potential sex difference in exercise efficacy if we are to develop effective, evidence-based exercise interventions to promote healthy brain aging for all individuals.
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Affiliation(s)
- Cindy K Barha
- Djavad Mowafaghian Centre for Brain Health, Vancouver, Canada.,Department of Physical Therapy, University of British Columbia, Vancouver, Canada
| | - Teresa Liu-Ambrose
- Djavad Mowafaghian Centre for Brain Health, Vancouver, Canada.,Department of Physical Therapy, University of British Columbia, Vancouver, Canada.,Centre for Hip Health and Mobility, Vancouver, Canada
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22
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K Barha C, Liu-Ambrose T. Exercise and the Aging Brain: Considerations for Sex Differences. Brain Plast 2018. [DOI: 10.3233/bpl-1867] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Cindy K Barha
- Djavad Mowafaghian Centre for Brain Health, Vancouver, Canada
- Department of Physical Therapy, University of British Columbia, Vancouver, Canada
| | - Teresa Liu-Ambrose
- Djavad Mowafaghian Centre for Brain Health, Vancouver, Canada
- Department of Physical Therapy, University of British Columbia, Vancouver, Canada
- Centre for Hip Health and Mobility, Vancouver, Canada
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23
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Ji L, Pearlson GD, Zhang X, Steffens DC, Ji X, Guo H, Wang L. Physical exercise increases involvement of motor networks as a compensatory mechanism during a cognitively challenging task. Int J Geriatr Psychiatry 2018; 33:1153-1159. [PMID: 29851152 DOI: 10.1002/gps.4909] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Accepted: 04/13/2018] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Neuroimaging studies suggest that older adults may compensate for declines in cognitive function through neural compensation and reorganization of neural resources. While neural compensation as a key component of cognitive reserve is an important factor that mediates cognitive decline, the field lacks a quantitative measure of neural compensatory ability, and little is known about factors that may modify compensation, such as physical exercise. METHODS Twenty-five healthy older adults participated in a 6-week dance training exercise program. Gait speed, cognitive function, and functional magnetic resonance imaging during a challenging memory task were measured before and after the exercise program. In this study, we used a newly proposed data-driven independent component analysis approach to measure neural compensatory ability and tested the effect of physical exercise on neural compensation through a longitudinal study. RESULTS After the exercise program, participants showed significantly improved memory performance in Logical Memory Test (WMS(LM)) (P < .001) and Rey Auditory Verbal Learning Test (P = .001) and increased gait speed measured by the 6-minute walking test (P = .01). Among all identified neural networks, only the motor cortices and cerebellum showed greater involvement during the memory task after exercise. Importantly, subjects who activated the motor network only after exercise (but not before exercise) showed WMS(LM) increases. CONCLUSIONS We conclude that physical exercise improved gait speed, cognitive function, and compensatory ability through increased involvement of motor-related networks.
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Affiliation(s)
- Lanxin Ji
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China.,Olin Neuropsychiatry Research Center, Hartford Hospital/Institute of Living, Hartford, CT, USA.,Departments of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Godfrey D Pearlson
- Olin Neuropsychiatry Research Center, Hartford Hospital/Institute of Living, Hartford, CT, USA.,Departments of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.,Departments of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - Xue Zhang
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China
| | - David C Steffens
- Department of Psychiatry, University of Connecticut Health Center, Farmington, CT, USA
| | - Xiaoqing Ji
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China
| | - Hua Guo
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China
| | - Lihong Wang
- Department of Psychiatry, University of Connecticut Health Center, Farmington, CT, USA
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Arrieta H, Rezola-Pardo C, Echeverria I, Iturburu M, Gil SM, Yanguas JJ, Irazusta J, Rodriguez-Larrad A. Physical activity and fitness are associated with verbal memory, quality of life and depression among nursing home residents: preliminary data of a randomized controlled trial. BMC Geriatr 2018; 18:80. [PMID: 29580209 PMCID: PMC5869769 DOI: 10.1186/s12877-018-0770-y] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Accepted: 03/15/2018] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Few studies have simultaneously examined changes in physical, cognitive and emotional performance throughout the aging process. METHODS Baseline data from an ongoing experimental randomized study were analyzed. Physical activity, handgrip, the Senior Fitness Test, Trail Making Test A, Rey Auditory-Verbal Learning Test, Quality of Life-Alzheimer's Disease Scale (QoL-AD) and the Goldberg Depression Scale were used to assess study participants. Logistic regression models were applied. TRIAL REGISTRATION ACTRN12616001044415 (04/08/2016). RESULTS The study enrolled 114 participants with a mean age of 84.9 (standard deviation 6.9) years from ten different nursing homes. After adjusting for age, gender and education level, upper limb muscle strength was found to be associated with Rey Auditory-Verbal Learning Test [EXP(B): 1.16, 95% confidence interval (CI): 1.04-1.30] and QoL-AD [EXP(B): 1.18, 95% CI: 1.06-1.31]. Similarly, the number of steps taken per day was negatively associated with the risk of depression according to the Goldberg Depression Scale [EXP(B): 1.14, 95% CI: 1.000-1.003]. Additional analyses suggest that the factors associated with these variables are different according to the need for using an assistive device for walking. In those participants who used it, upper limb muscle strength remained associated with Rey Auditory-Verbal Learning Test [EXP(B): 1.21, 95% CI: 1.01-1.44] and QoL-AD tests [EXP(B): 1.19, 95% CI: 1.02-1.40]. In those individuals who did not need an assistive device for walking, lower limb muscle strength was associated with Rey Auditory-Verbal Learning Test [EXP(B): 1.35, 95% CI: 1.07-1.69], time spent in light physical activity was associated with QoL-AD test [EXP(B): 1.13, 95% CI: 1.00-1.02], and the number of steps walked per day was negatively associated with the risk of depression according to the Goldberg Depression Scale [EXP(B): 1.27, 95% CI: 1.000-1.004]. CONCLUSIONS Muscle strength and physical activity are factors positively associated with a better performance on the Rey Auditory-Verbal Learning Test, QoL-AD and Goldberg Depression Scale in older adults with mild to moderate cognitive impairment living in nursing homes. These associations appeared to differ according to the use of an assistive device for walking. Our findings support the need for the implementation of interventions directed to increase the strength and physical activity of individuals living in nursing homes to promote physical, cognitive and emotional benefits. TRIAL REGISTRATION ACTRN12616001044415 (04/08/2016).
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Affiliation(s)
- Haritz Arrieta
- Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, E-48940 Leioa, Bizkaia Spain
| | - Chloe Rezola-Pardo
- Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, E-48940 Leioa, Bizkaia Spain
| | - Iñaki Echeverria
- Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, E-48940 Leioa, Bizkaia Spain
| | - Miren Iturburu
- Matia Instituto Gerontológico Foundation, Camino de los Pinos 35, E-20018 Donostia-San Sebastian, Gipuzkoa Spain
| | - Susana Maria Gil
- Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, E-48940 Leioa, Bizkaia Spain
| | - Jose Javier Yanguas
- Matia Instituto Gerontológico Foundation, Camino de los Pinos 35, E-20018 Donostia-San Sebastian, Gipuzkoa Spain
| | - Jon Irazusta
- Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, E-48940 Leioa, Bizkaia Spain
| | - Ana Rodriguez-Larrad
- Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, E-48940 Leioa, Bizkaia Spain
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