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Zhang Q, Sun MA, Sun Q, Mei H, Rao H, Liu J. Mental Fatigue Is Associated with Subjective Cognitive Decline among Older Adults. Brain Sci 2023; 13:376. [PMID: 36979186 PMCID: PMC10046332 DOI: 10.3390/brainsci13030376] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 02/14/2023] [Accepted: 02/17/2023] [Indexed: 02/24/2023] Open
Abstract
Both Subjective Cognitive Decline (SCD) and mental fatigue are becoming increasingly prevalent as global demographics shifts indicate our aging populations. SCD is a reversible precursor for Alzheimer's disease, and early identification is important for effective intervention strategies. We aim to investigate the association between mental fatigue-as well as other factors-and SCD. A total of 707 old adults (aged from 60 to 99) from Shanghai, China, participated in this study and completed self-reported instruments covering their cognitive and mental status as well as demographic information. Mental fatigue status was assessed by using four items derived from the functional impairment syndrome of the Old Adult Self Report (OASR). SCD was assessed by using the Memory/Cognition syndrome of OASR. A total of 681 old adults were included in the current study. The means of SCD significantly differed between each group of factors (age, gender, and mental fatigue). The general linear regression models showed that SCD increased with age, females scored higher than males, and SCD was positively associated with mental fatigue factors including difficulty getting things done, poor task performance, sleeping more, and a lack of energy among old adults. The study also found that SCD is negatively associated with the high-income group among young-old (aged from 60 to 75) males and associated with good marital/living status with the companion of spouses/partners among young-old females. These results suggest that gender, income level, marital/living status, and mental fatigue are crucial factors in preventing SCD among old adults and are pivotal in developing early intervention strategies to preserve the mental health of an increasingly aging population.
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Affiliation(s)
- Qianqian Zhang
- School of Nursing and Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - McKenna Angela Sun
- School of Nursing and Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Qiuzi Sun
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Hua Mei
- Shanghai University of Medicine and Health Sciences, Shanghai 201318, China
| | - Hengyi Rao
- School of Nursing and Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jianghong Liu
- School of Nursing and Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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Lin FV. A Multi-Dimensional Model of Fatigue in Old Age: Implications for Brain Aging. Am J Geriatr Psychiatry 2023; 31:152-161. [PMID: 36435711 PMCID: PMC10653728 DOI: 10.1016/j.jagp.2022.10.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 10/13/2022] [Accepted: 10/31/2022] [Indexed: 11/08/2022]
Abstract
As the most reported symptom in old age, fatigue is understudied in terms of both mechanisms and measures. Population heterogeneity and methodological inconsistency makes understanding the relationship between fatigue and brain aging challenging. The present article comprehensively reviews existing conceptual and operational frameworks of fatigue, as well as mechanistic heterogeneities of fatigue that exist in the aging literature. Then, I propose a Multi-Dimensional Model of fatigue to provide theoretical cohesion to the study of fatigue in old age, along with a "fatigue circuit" addressing brain profiles across dimensions of fatigue. The potential relationships between fatigue dimensions, the fatigue circuit, and brain aging are discussed to inform the direction of future research.
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Affiliation(s)
- Feng V Lin
- Department of Psychiatry and Behavioral Sciences(FVL), Stanford University, Palo Alto, CA, 94304; Wu Tsai Neuroscience Institute, Stanford University(FVL), Palo Alto, CA, 94304.
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Titova NV, Bezdolny YN, Katunina EA. [Asthenia, mental fatigue and cognitive dysfunction]. Zh Nevrol Psikhiatr Im S S Korsakova 2023; 123:38-47. [PMID: 37315240 DOI: 10.17116/jnevro202312305138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Conditions associated with asthenia are usually characterized by increased fatigue, impaired activities of daily living and decreased productivity. In clinical practice it is important to distinguish between idiopathic chronic fatigue (primary or functional asthenia) and chronic fatigue syndrome (CFS). Fatigue can also be classified by neuromuscular and/or cognitive and mental fatigue. The article discusses the neuroanatomical basis and focuses on the neurocognitive theory of pathological fatigue. In addition the relationship between mental stress, fatigue and cognitive impairments such as subjective cognitive impairment (SCI) and mild cognitive impairment (MCI) are also discussed. We discuss the rationale that for treatment of asthenic conditions accompanied by cognitive dysfunction it is justified to use combination therapy - fonturacetam and a preparation containing nicotinoyl-GABA and Ginkgo Biloba.
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Affiliation(s)
- N V Titova
- Federal Center of Brain and Neurotechnologies, Moscow, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
| | | | - E A Katunina
- Federal Center of Brain and Neurotechnologies, Moscow, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
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Renner SW, Bear TM, Brown PJ, Andersen SL, Cosentino S, Gmelin T, Boudreau RM, Cauley JA, Qiao Y(S, Simonsick EM, Glynn NW. Validation of Perceived Mental Fatigability Using the Pittsburgh Fatigability Scale. J Am Geriatr Soc 2021; 69:1343-1348. [PMID: 33469914 PMCID: PMC8127403 DOI: 10.1111/jgs.17017] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 11/30/2020] [Accepted: 12/13/2020] [Indexed: 01/26/2023]
Abstract
OBJECTIVES Establish reliability, concurrent and convergent validity of the Pittsburgh Fatigability Scale (PFS) Mental subscale. DESIGN Cross-sectional. SETTING Older adults from two University of Pittsburgh registries, Baltimore Longitudinal Study of Aging (BLSA), and Long Life Family Study (LLFS). PARTICIPANTS PFS Mental subscale validation was conducted using three cohorts: (1) Development Sample (N = 664, 59.1% women, age 74.8 ± 6.4 years, PFS Mental scores 10.3 ± 9.1), (2) Validation Sample I-BLSA (N = 430, 51.9% women, age 74.5 ± 8.2 years, PFS Mental scores 9.4 ± 7.9), and (3) Validation Sample II-LLFS (N = 1,917, 54.5% women, age 72.2 ± 9.3 years, PFS Mental scores 7.5 ± 8.2). MEASUREMENTS Development Sample, Validation Sample I-BLSA, and Validation Sample II-LLFS participants self-administered the 10-item Pittsburgh Fatigability Scale. Validation Sample II-LLFS completed cognition measures (Trail Making Tests A and B), depressive symptomatology (Center for Epidemiologic Studies-Depression Scale, CES-D), and global fatigue from two CES-D items. RESULTS In the Development Sample and Validation Sample I-BLSA, confirmatory factor analysis showed all 10 items loaded on two factors: social and physical activities (fit indices: SRMSR = 0.064, RMSEA = 0.095, CFI = 0.91). PFS Mental scores had strong internal consistency (Cronbach's α = 0.85) and good test-retest reliability (ICC = 0.78). Validation Sample II-LLFS PFS Mental scores demonstrated moderate concurrent and construct validity using Pearson (r) or Spearman (ρ) correlations against measures of cognition (Trail Making Tests A (r = 0.14) and B (r = 0.17) time), depressive symptoms (r = 0.31), and global fatigue (ρ = 0.21). Additionally, the PFS Mental subscale had strong convergent validity, discriminating according to established clinical or cognitive testing cut points, with differences in PFS Mental scores ranging from 3.9 to 7.6 points (all P < .001). All analyses were adjusted for family relatedness, field center, age, sex, and education. CONCLUSIONS The validated PFS Mental subscale may be used in clinical and research settings as a sensitive, one-page self-administered tool of perceived mental fatigability in older adults.
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Affiliation(s)
- Sharon W. Renner
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Todd M. Bear
- Department of Behavioral and Community Health Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Patrick J. Brown
- Department of Psychiatry, New York State Psychiatric Institute and Columbia University College Physicians and Surgeons, New York, New York
| | - Stacy L. Andersen
- Geriatrics Section, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Stephanie Cosentino
- Department of Neurology, Columbia University Medical Center, New York, New York
| | - Theresa Gmelin
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Robert M. Boudreau
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jane A. Cauley
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Yujia (Susanna) Qiao
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Nancy W. Glynn
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
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Stuber MJ, Moutzouri E, Feller M, Del Giovane C, Bauer DC, Blum MR, Collet TH, Gussekloo J, Mooijaart SP, McCarthy VJC, Aujesky D, Westendorp R, Stott DJ, Glynn NW, Kearney PM, Rodondi N. Effect of Thyroid Hormone Therapy on Fatigability in Older Adults With Subclinical Hypothyroidism: A Nested Study Within a Randomized Placebo-Controlled Trial. J Gerontol A Biol Sci Med Sci 2021; 75:e89-e94. [PMID: 32577745 PMCID: PMC7494024 DOI: 10.1093/gerona/glaa123] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Indexed: 01/16/2023] Open
Abstract
Background Fatigue often triggers screening for and treatment of subclinical hypothyroidism. However, data on the impact of levothyroxine on fatigue is limited and previous studies might not have captured all aspects of fatigue. Method This study is nested within the randomized, placebo-controlled, multicenter TRUST trial, including community-dwelling participants aged ≥65 and older, with persistent subclinical hypothyroidism (TSH 4.60–19.99 mIU/L, normal free thyroxine levels) from Switzerland and Ireland. Interventions consisted of daily levothyroxine starting with 50 μg (25 μg if weight <50 kg or known coronary heart diseases) together with dose adjustments to achieve a normal TSH and mock titration in the placebo group. Main outcome was the change in physical and mental fatigability using the Pittsburgh Fatigability Scale over 1 year, assessed through multivariable linear regression with adjustment for country, sex, and levothyroxine starting dose. Results Among 230 participants, the mean ± standard deviation (SD) TSH was 6.2 ± 1.9 mIU/L at baseline and decreased to 3.1 ± 1.3 with LT4 (n = 119) versus 5.3 ± 2.3 with placebo (n = 111, p < .001) after 1 year. After adjustment we found no between-group difference at 1 year on perceived physical (0.2; 95% CI −1.8 to 2.1; p = .88), or mental fatigability (−1.0; 95% CI −2.8 to 0.8; p = .26). In participants with higher fatigability at baseline (≥15 points for the physical score [n = 88] or ≥13 points for the mental score [n = 41]), the adjusted between-group differences at 1 year were 0.4 (95% CI −3.6 to 2.8, p = .79) and −2.2 (95% CI −8.8 to 4.5, p = .51). Conclusions Levothyroxine in older adults with mild subclinical hypothyroidism provides no change in physical or mental fatigability.
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Affiliation(s)
- Mirah J Stuber
- Institute of Primary Health Care (BIHAM), University of Bern, Switzerland
| | - Elisavet Moutzouri
- Institute of Primary Health Care (BIHAM), University of Bern, Switzerland.,Department of General Internal Medicine, Inselspital, Bern University Hospital, Switzerland
| | - Martin Feller
- Institute of Primary Health Care (BIHAM), University of Bern, Switzerland.,Department of General Internal Medicine, Inselspital, Bern University Hospital, Switzerland
| | - Cinzia Del Giovane
- Institute of Primary Health Care (BIHAM), University of Bern, Switzerland
| | - Douglas C Bauer
- Departments of Medicine and Epidemiology and Biostatistics, University of California, San Francisco
| | - Manuel R Blum
- Institute of Primary Health Care (BIHAM), University of Bern, Switzerland.,Department of General Internal Medicine, Inselspital, Bern University Hospital, Switzerland.,Department of Health Research and Policy, Division of Epidemiology, Stanford University School of Medicine, California
| | - Tinh-Hai Collet
- Service of Endocrinology, Diabetes, Nutrition and Therapeutic Education, Geneva University Hospitals, Switzerland
| | - Jacobijn Gussekloo
- Department of Internal Medicine, Section Gerontology and Geriatrics, Leiden University Center, the Netherlands.,Department of Public Health and Primary Care, Leiden University Center, the Netherlands
| | - Simon P Mooijaart
- Department of Internal Medicine, Section Gerontology and Geriatrics, Leiden University Center, the Netherlands
| | | | - Drahomir Aujesky
- Department of General Internal Medicine, Inselspital, Bern University Hospital, Switzerland
| | - Rudi Westendorp
- Department of Public Health and Center for Healthy Aging, University of Copenhagen, Denmark
| | - David J Stott
- Institute of Cardiovascular Medicine, University of Glasgow, Scotland
| | - Nancy W Glynn
- Department of Epidemiology, Center for Aging and Population Health, Graduate School of Public Health, University of Pittsburgh, Pennsylvania
| | | | - Nicolas Rodondi
- Institute of Primary Health Care (BIHAM), University of Bern, Switzerland.,Department of General Internal Medicine, Inselspital, Bern University Hospital, Switzerland
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Insula and putamen centered functional connectivity networks reflect healthy agers' subjective experience of cognitive fatigue in multiple tasks. Cortex 2019; 119:428-440. [PMID: 31499435 DOI: 10.1016/j.cortex.2019.07.019] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Revised: 05/31/2019] [Accepted: 07/23/2019] [Indexed: 01/10/2023]
Abstract
Cognitive fatigue (CF) impairs ability to perform daily activities, is a common complaint of aging and a symptom of multiple neurological conditions. However, knowledge of the neural basis of CF is limited. This is partially because CF is difficult to systematically modulate in brain imaging experiments. The most common approach has been to scan brain activity during effortful cognitive tasks. Consequently, neural correlates of CF tend to be task-specific and may vary across tasks. This makes it difficult to know how results generalize across studies and is outside the subjective experience of CF which tends to be similar in different tasks. It has been hypothesized that the subjective experience of CF might arise from domain general systems monitoring and acting on energy depletion in task specific circuits. Direct supporting neural evidence is lacking. By repeatedly scanning aging individuals undertaking four different tasks using functional Magnetic Resonance Imaging and referencing scans to detailed CF self-ratings taken before and after scanning, we sought task-general correlates of CF. We ran a data-driven representational similarity analysis, treating each brain region as a candidate CF functional connectivity hub, and correlating inter-participant differences in hub-based connectivity patterns with inter-participant differences in self-rated CF-profiles (a pattern of ratings across 18 questions). Both right insula and right putamen-based network connectivity patterns reflected CF across all tasks and could underpin subjective experience of CF.
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Kita M, Kobayashi K, Obara K, Koikeda T, Umeda S, Ano Y. Supplementation With Whey Peptide Rich in β-Lactolin Improves Cognitive Performance in Healthy Older Adults: A Randomized, Double-Blind, Placebo-Controlled Study. Front Neurosci 2019; 13:399. [PMID: 31068787 PMCID: PMC6491855 DOI: 10.3389/fnins.2019.00399] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Accepted: 04/08/2019] [Indexed: 12/31/2022] Open
Abstract
Epidemiological reports showed that consumptions of fermented dairy products are beneficial for cognitive decline in elderly. Our previous preclinical studies have demonstrated that intakes of whey peptide rich in the β-lactolin [β-lactopeptide of glycine-thereonine-tryptophan-tyrosine (GTWY)] improve memory and attention by regulating monoamine system, and clinical study using neuropsychological test suggested that consumptions with GTWY-rich whey peptide enhance cognitive performance associated with the frontal cortex activity. However, corresponding interventional studies in humans are limited. Objectives: to evaluate the effects of the whey peptide on cognitive functions in healthy older adults using a randomized, double-blinded, placebo-controlled trial design. 114 healthy subjects aged 50–75 were supplemented with the whey peptide or placebo for 12 weeks, and changes in cognitive function were assessed using neuropsychological tests at weeks 0, 6, and 12 of the intervention. Neuropsychological tests included assessments for memory functions (subtests from Wechsler memory scale-revised, standard verbal paired-associate learning test, and recognition memory test for faces), assessments for attention (cancelation and detection tests), and assessments for general cognitive functions (repeatable battery for assessments of neuropsychological status). Cerebral blood flow was also assessed using near-infrared spectroscopy (NIRS) after 6 weeks of intervention. This study was registered on the 19 November, 2017 in the database of the University Hospital Medical Information Network (UMIN) prior to enrollment of subjects (Registration No. UMIN000030461: https://www.umin.ac.jp/ctr/index-j.htm). In the whey peptide group, visual paired-associates I and visual cancelation tests were significantly improved compared with those in the placebo group at weeks 6 and 12 of the intervention, respectively. Visuospatial and constructional scores of the repeatable battery for assessments of neuropsychological status and standard verbal paired-associate learning tests (S-PA) also tended to be improved by the intervention at week 12. Daily intakes of GTWY-rich whey peptide show beneficial effects on cognitive performance, especially associative learning memory and control of attention, in healthy older adults and might prevent age-related cognitive declines.
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Affiliation(s)
- Masahiro Kita
- Research Laboratories for Health Science and Food Technologies, Kirin Company, Ltd., Yokohama, Japan
| | - Keiko Kobayashi
- Research Laboratories for Health Science and Food Technologies, Kirin Company, Ltd., Yokohama, Japan
| | - Kuniaki Obara
- Research Laboratories for Health Science and Food Technologies, Kirin Company, Ltd., Yokohama, Japan
| | | | - Satoshi Umeda
- Department of Psychology, Keio University, Tokyo, Japan
| | - Yasuhisa Ano
- Research Laboratories for Health Science and Food Technologies, Kirin Company, Ltd., Yokohama, Japan
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Kita M, Obara K, Kondo S, Umeda S, Ano Y. Effect of Supplementation of a Whey Peptide Rich in Tryptophan-Tyrosine-Related Peptides on Cognitive Performance in Healthy Adults: A Randomized, Double-Blind, Placebo-Controlled Study. Nutrients 2018; 10:E899. [PMID: 30011836 PMCID: PMC6073406 DOI: 10.3390/nu10070899] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 07/06/2018] [Accepted: 07/11/2018] [Indexed: 12/31/2022] Open
Abstract
Background: Previous epidemiological and clinical studies have shown that dairy products have beneficial effects on cognitive decline and dementia. Enzymatic digestion of whey protein produces a whey peptide rich in tryptophan-tyrosine-related peptides which improve cognitive performance in mice. We evaluated the effects of whey peptides on cognitive functions in healthy adults in a randomized, double-blind, placebo-controlled design. Methods: 101 healthy adults (45 to 64 years), with a self-awareness of cognitive decline received either whey peptide or placebo supplements for 12 weeks. Changes in cognitive function were assessed using neuropsychological tests at 6 and 12 weeks after the start of supplementation. Results: Verbal fluency test (VFT) score changes tended to be higher in the whey peptide group compared with the placebo at 12 weeks. Subgroup analysis classified by the degree of subjective fatigue showed that changes in the VFT as well as the Stroop and subjective memory function tests between baseline and 6 weeks of intervention were significantly better in subjects with high-level fatigue from the whey peptide group as compared to the placebo group. CONCLUSIONS Intake of whey peptide might improve cognitive function in healthy middle- and older-aged adults with high subjective fatigue levels. Further studies will elucidate the relationship among cognitive improvement, whey peptides, and psychological fatigue.
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Affiliation(s)
- Masahiro Kita
- Research Laboratories for Health Science & Food Technologies, Kirin Company, Ltd., Yokohama 1-13-5, Japan.
| | - Kuniaki Obara
- Research Laboratories for Health Science & Food Technologies, Kirin Company, Ltd., Yokohama 1-13-5, Japan.
| | - Sumio Kondo
- Kensyokai Medical Corporation, Osaka 2-12-16, Japan.
| | - Satoshi Umeda
- Department of Psychology, Keio University, Tokyo 2-15-45, Japan.
| | - Yasuhisa Ano
- Research Laboratories for Health Science & Food Technologies, Kirin Company, Ltd., Yokohama 1-13-5, Japan.
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Kim I, Hacker E, Ferrans CE, Horswill C, Park C, Kapella M. Evaluation of fatigability measurement: Integrative review. Geriatr Nurs 2017; 39:39-47. [PMID: 28666548 DOI: 10.1016/j.gerinurse.2017.05.014] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Revised: 05/13/2017] [Accepted: 05/22/2017] [Indexed: 10/19/2022]
Abstract
Fatigability is defined as the extent of fatigue in the context of activity and differs from the term used in exercise literature to describe muscle endurance characteristics. Many fatigability measures are available, but no studies have thoroughly evaluated them for adequate incorporation of fatigability concepts. This integrative review provides an overall assessment of existing fatigability measures and then evaluates each in depth. A database search and hand search produced 14 studies for review. Fatigability measurement took three forms: self-reported fatigability, perceived fatigability (self-reported fatigue following a defined performance test), and performance fatigability (performance deterioration). Of 17 measures identified, validity and/or reliability was reported for six (35.3%), and no measure was used in more than one study. Fatigability measures have been correlated with clinical measures, indicating that fatigability should be measured during routine clinical health screening. Refinement of measures and additional fatigability data collection will improve understanding and treatment of fatigue.
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Affiliation(s)
- Inah Kim
- College of Nursing, University of Illinois at Chicago, USA.
| | | | | | - Craig Horswill
- Kinesiology and Nutrition, University of Illinois at Chicago, USA
| | - Chang Park
- College of Nursing, University of Illinois at Chicago, USA
| | - Mary Kapella
- College of Nursing, University of Illinois at Chicago, USA
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Aging, Fatigue, and Fatigability: Implications for Occupational and Physical Therapists. CURRENT GERIATRICS REPORTS 2014. [DOI: 10.1007/s13670-014-0093-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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