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Divandari N, Bird ML, Vakili M, Jaberzadeh S. The association between dynamic balance and executive function: Which dynamic balance test has the strongest association with executive function? A systematic review and meta-analysis. Curr Neurol Neurosci Rep 2024; 24:151-161. [PMID: 38730213 PMCID: PMC11143012 DOI: 10.1007/s11910-024-01340-3] [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] [Accepted: 04/02/2024] [Indexed: 05/12/2024]
Abstract
AIM The aging global population poses increasing challenges related to falls and dementia. Early identification of cognitive decline, particularly before noticeable symptoms manifest, is crucial for effective intervention. This review aims to determine the dynamic balance test most closely associated with executive function, potentially serving as a biomarker for cognitive decline. RECENT FINDINGS Based on recent reviews, inhibitory control, a component of executive function, holds significance in influencing balance performance. Studies suggest that the strength of the correlation between cognition and balance tends to be domain-specific and task-specific. Despite these findings, inconclusive evidence remains regarding the connection between executive function and various dynamic balance assessments. Our review identifies a significant association between all dynamic balance tests and executive function, albeit with varying strengths. Notably, a medium effect size is observed for the Timed Up and Go and Functional Reach Test, a small effect size for balance scales, and a strong effect size for postural sway. This review underscores a clear relationship between dynamic balance task performance and executive function. Dynamic posturography holds potential as a clinical biomarker for early detection of cognitive decline, with a note of caution due to observed heterogeneity and limited studies.
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Affiliation(s)
- Nahid Divandari
- Monash Neuromodulation Research Unit, Department of Physiotherapy, School of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Science, Monash University, PO Box 527, Melbourne, Frankston, VIC, 3199, Australia.
| | - Marie-Louise Bird
- School of Health Sciences, University of Tasmania, Newnham Tasmania, 7248, Australia
| | | | - Shapour Jaberzadeh
- Monash Neuromodulation Research Unit, Department of Physiotherapy, School of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Science, Monash University, PO Box 527, Melbourne, Frankston, VIC, 3199, Australia
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Divandari N, Bird ML, Vakili M, Jaberzadeh S. The Association Between Cognitive Domains and Postural Balance among Healthy Older Adults: A Systematic Review of Literature and Meta-Analysis. Curr Neurol Neurosci Rep 2023; 23:681-693. [PMID: 37856048 PMCID: PMC10673728 DOI: 10.1007/s11910-023-01305-y] [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] [Accepted: 09/12/2023] [Indexed: 10/20/2023]
Abstract
PURPOSE OF REVIEW This review aims to explore which cognitive domain is more closely associated with which type of balance (static or dynamic). RESENT FINDING Based on recent reviews, inhibitory control, a part of cognition, plays a crucial role in balance performance. Previous reviews report significant links between cognition, mobility, and physical function in older adults. However, evidence regarding the relationship between cognition and balance scores remains inconclusive. The strength of association between cognition and balance appears to be domain-specific and task-specific. Executive function exhibits the strongest correlation with balance, while episodic memory shows a small link with dynamic balance. Processing speed and global cognition demonstrate moderate correlations. Additionally, there is a slight association between cognitive domains and static balance. Further research is needed to elucidate the underlying mechanisms and develop targeted interventions for managing balance-related concerns that are domain-specific and task-specific.
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Affiliation(s)
- Nahid Divandari
- Monash Neuromodulation Research Unit, Department of Physiotherapy, School of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Science, Monash University, PO Box 527, Melbourne, Frankston, VIC, 3199, Australia.
| | - Marie-Louise Bird
- School of Health Sciences, University of Tasmania, Newnham Tasmania 7248, Launceston, Australia
| | - Mahdi Vakili
- Mowbray Medical Clinic, Invermay, TAS, Australia
| | - Shapour Jaberzadeh
- Monash Neuromodulation Research Unit, Department of Physiotherapy, School of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Science, Monash University, PO Box 527, Melbourne, Frankston, VIC, 3199, Australia
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Meekes WM, Korevaar JC, Leemrijse CJ, van de Goor IA. Practical and validated tool to assess falls risk in the primary care setting: a systematic review. BMJ Open 2021; 11:e045431. [PMID: 34588228 PMCID: PMC8483054 DOI: 10.1136/bmjopen-2020-045431] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
OBJECTIVE Although several falls risk assessment tools are available, it is unclear which have been validated and which would be most suitable for primary care practices. This systematic review aims to identify the most suitable falls risk assessment tool for the primary care setting (ie, requires limited time, no expensive equipment and no additional space) and that has good predictive performance in the assessment of falls risk among older people living independently. DESIGN A systematic review based on prospective studies. METHODS An extensive search was conducted in the following databases: PubMed, Embase, CINAHL, Cochrane and PsycINFO. Tools were excluded if they required expensive and/or advanced software that is not usually available in primary care units and if they had not been validated in at least three different studies. Of 2492 articles published between January 2000 and July 2020, 27 were included. RESULTS Six falls risk assessment tools were identified: Timed Up and Go (TUG) test, Gait Speed test, Berg Balance Scale, Performance Oriented Mobility Assessment, Functional Reach test and falls history. Most articles reported area under the curve (AUC) values ranging from 0.5 to 0.7 for these tools. Sensitivity and specificity varied substantially across studies (eg, TUG, sensitivity:10%-83.3%, specificity:28.4%-96.6%). CONCLUSIONS Given that none of the falls risk assessment tools had sufficient predictive performance (AUC <0.7), other ways of assessing high falls risk among independently living older people in primary care should be investigated. For now, the most suitable way to assess falls risk in the primary care setting appears to involve asking patients about their falls history. Compared with the other five tools, the falls history requires the least amount of time, no expensive equipment, no training and no spatial adjustments. The clinical judgement of healthcare professionals continues to be most important, as it enables the identification of high falls risk even for patients with no falls history. TRIAL REGISTRAION NUMBER The Netherlands Trial Register, NL7917; Pre-results.
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Affiliation(s)
- Wytske Ma Meekes
- Tranzo, Tilburg School of Social and Behavioral Sciences, Tilburg University, Tilburg, The Netherlands
| | | | | | - Ien Am van de Goor
- Tranzo, Tilburg School of Social and Behavioral Sciences, Tilburg University, Tilburg, The Netherlands
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Bayot M, Dujardin K, Dissaux L, Tard C, Defebvre L, Bonnet CT, Allart E, Allali G, Delval A. Can dual-task paradigms predict Falls better than single task? - A systematic literature review. Neurophysiol Clin 2020; 50:401-440. [PMID: 33176988 DOI: 10.1016/j.neucli.2020.10.008] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 10/06/2020] [Accepted: 10/06/2020] [Indexed: 11/18/2022] Open
Abstract
With about one third of adults aged 65 years and older being reported worldwide to fall each year, and an even higher prevalence with advancing age, aged-related falls and the associated disabilities and mortality are a major public health concern. In this context, identification of fall risk in healthy older adults is a key component of fall prevention. Since dual-task outcomes rely on the interaction between cognition and motor control, some studies have demonstrated the role of dual-task walking performance or costs in predicting future fallers. However, based on previous reviews on the topic, (1) discriminative and (2) predictive powers of dual tasks involving gait and a concurrent task are still a matter of debate, as is (3) their superiority over single tasks in terms of fall-risk prediction. Moreover, less attention has been paid to dual tasks involving postural control and transfers (such as gait initiation and turns) as motor tasks. In the present paper, we therefore systematically reviewed recent literature over the last 7 years in order to answer the three above mentioned questions regarding the future of lab-based dual tasks (involving posture, gait initiation, gait and turning) as easily applicable tests for identifying healthy older adult fallers. Despite great heterogeneity among included studies, we emphasized, among other things, the promising added value of dual tasks including turns and other transfers, such as in the Timed Up and Go test, for prediction of falls. Further investigation of these is thus warranted.
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Affiliation(s)
- Madli Bayot
- Univ. Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Department of Clinical Neurophysiology, F-59000 Lille, France
| | - Kathy Dujardin
- Univ. Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Department of Neurology and Movement Disorders, F-59000 Lille, France
| | - Lucile Dissaux
- Univ. Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Department of Clinical Neurophysiology, F-59000 Lille, France
| | - Céline Tard
- Univ. Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Department of Neurology and Movement Disorders, F-59000 Lille, France
| | - Luc Defebvre
- Univ. Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Department of Neurology and Movement Disorders, F-59000 Lille, France
| | - Cédrick T Bonnet
- Univ. Lille, UMR 9193 - SCALab - Sciences Cognitives et Sciences Affectives, CNRS UMR 9193, F-59000 Lille, France
| | - Etienne Allart
- Univ. Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Neurorehabilitation Unit, F-59000 Lille, France
| | - Gilles Allali
- Department of Neurology, Geneva University Hospitals and University of Geneva, Geneva 1211, Switzerland, Department of Neurology, Division of Cognitive and Motor Aging, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, US
| | - Arnaud Delval
- Univ. Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Department of Clinical Neurophysiology, F-59000 Lille, France.
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Davis JC, Best JR, Khan KM, Dian L, Lord S, Delbaere K, Hsu CL, Cheung W, Chan W, Liu-Ambrose T. Slow Processing Speed Predicts Falls in Older Adults With a Falls History: 1-Year Prospective Cohort Study. J Am Geriatr Soc 2017; 65:916-923. [DOI: 10.1111/jgs.14830] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
- Jennifer C. Davis
- Aging, Mobility, and Cognitive Neuroscience Lab; Department of Physical Therapy; University of British Columbia; Vancouver British Columbia Canada
- Center for Hip Health and Mobility; Vancouver Coastal Health Research Institute; Vancouver British Columbia Canada
- Djavad Mowafaghian Centre for Brain Health; Vancouver British Columbia Canada
| | - John R. Best
- Aging, Mobility, and Cognitive Neuroscience Lab; Department of Physical Therapy; University of British Columbia; Vancouver British Columbia Canada
- Center for Hip Health and Mobility; Vancouver Coastal Health Research Institute; Vancouver British Columbia Canada
- Djavad Mowafaghian Centre for Brain Health; Vancouver British Columbia Canada
| | - Karim M. Khan
- Center for Hip Health and Mobility; Vancouver Coastal Health Research Institute; Vancouver British Columbia Canada
- Department of Family Practice; University of British Columbia; Vancouver British Columbia Canada
| | - Larry Dian
- Division of Geriatrics; Faculty of Medicine; University of British Columbia; Vancouver British Columbia Canada
| | - Stephen Lord
- Falls, Balance and Injury Research Centre; Neuroscience Research Australia; Sydney New South Wales Australia
| | - Kim Delbaere
- Falls, Balance and Injury Research Centre; Neuroscience Research Australia; Sydney New South Wales Australia
| | - Chun Liang Hsu
- Aging, Mobility, and Cognitive Neuroscience Lab; Department of Physical Therapy; University of British Columbia; Vancouver British Columbia Canada
- Center for Hip Health and Mobility; Vancouver Coastal Health Research Institute; Vancouver British Columbia Canada
- Djavad Mowafaghian Centre for Brain Health; Vancouver British Columbia Canada
| | - Winnie Cheung
- Aging, Mobility, and Cognitive Neuroscience Lab; Department of Physical Therapy; University of British Columbia; Vancouver British Columbia Canada
- Center for Hip Health and Mobility; Vancouver Coastal Health Research Institute; Vancouver British Columbia Canada
- Djavad Mowafaghian Centre for Brain Health; Vancouver British Columbia Canada
| | - Wency Chan
- Aging, Mobility, and Cognitive Neuroscience Lab; Department of Physical Therapy; University of British Columbia; Vancouver British Columbia Canada
- Center for Hip Health and Mobility; Vancouver Coastal Health Research Institute; Vancouver British Columbia Canada
- Djavad Mowafaghian Centre for Brain Health; Vancouver British Columbia Canada
| | - Teresa Liu-Ambrose
- Aging, Mobility, and Cognitive Neuroscience Lab; Department of Physical Therapy; University of British Columbia; Vancouver British Columbia Canada
- Center for Hip Health and Mobility; Vancouver Coastal Health Research Institute; Vancouver British Columbia Canada
- Djavad Mowafaghian Centre for Brain Health; Vancouver British Columbia Canada
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