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Lorenzo-López L, Cibeira N, Hemadeh A, López-López R, Lema-Arranz C, Maseda A, Fernández-Bertólez N, Costa S, Pásaro E, Valdiglesias V, Millán-Calenti JC, Laffon B. Association between cognitive reserve proxies and frailty phenotype: data from UK Biobank. GeroScience 2025; 47:1897-1910. [PMID: 39397220 PMCID: PMC11978585 DOI: 10.1007/s11357-024-01382-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] [Received: 08/14/2024] [Accepted: 10/04/2024] [Indexed: 10/15/2024] Open
Abstract
A potential protective role of cognitive reserve proxies against frailty has been suggested in older adults. We explored the cross-sectional association between cognitive reserve indicators and frailty phenotype. Data were obtained from the UK Biobank. We included 31,975 dementia-free participants aged ≥ 60 years (50.7% females, 2.2% frail) who completed a web-based cognitive assessment (fluid intelligence, working memory, visuospatial attention and processing speed, and executive functioning). Frailty was defined according to the Fried's phenotype (unintentional weight loss, exhaustion, low physical activity, slowness, and weakness). Participants meeting three or more criteria were classified as frail. Cognitive performance was compared between nonfrail and frail groups, and regression models were employed to analyze the associations between cognitive reserve proxies (education, skill level of occupation, social support, and multiple deprivation index (MDI)) and the likelihood of frailty. Frail and nonfrail groups significantly differed on cognitive function, with frail individuals demonstrating poorer performance on all cognitive functions (all p < .05) except fluid intelligence. Regression analysis showed that, after adjusting for age and sex, a lower educational level (odds ratio (OR) .797, 95% confidence interval (CI) .673-.944, p = .009), having maintained occupations with low cognitive requirements (OR .790, 95% CI .668-.936, p = .006), having less social support (OR .755, 95% CI .631-.903, p = .002), and living in a region with a high rate of multiple deprivation (OR 1.025, 95% CI 1.019-1.031, p < .001), significantly increased the probability of experiencing frailty. Our findings support the relationship between declined cognitive functions and frailty emphasizing the importance of implementing public health measures to enhance cognitive reserve.
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Affiliation(s)
- Laura Lorenzo-López
- Gerontology and Geriatrics Research Group, Universidade da Coruña, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain.
| | - Nuria Cibeira
- Gerontology and Geriatrics Research Group, Universidade da Coruña, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain
| | - Ali Hemadeh
- Departamento de Psicología, Universidade da Coruña, Grupo DICOMOSA, CICA-Centro Interdisciplinar de Química e Bioloxía, A Coruña, Spain
- Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain
| | - Rocío López-López
- Gerontology and Geriatrics Research Group, Universidade da Coruña, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain
| | - Carlota Lema-Arranz
- Departamento de Psicología, Universidade da Coruña, Grupo DICOMOSA, CICA-Centro Interdisciplinar de Química e Bioloxía, A Coruña, Spain
- Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain
| | - Ana Maseda
- Gerontology and Geriatrics Research Group, Universidade da Coruña, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain
| | - Natalia Fernández-Bertólez
- Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain
- Departamento de Biología, Universidade da Coruña, Grupo NanoToxGen, CICA-Centro Interdisciplinar de Química e Bioloxía, A Coruña, Spain
| | - Solange Costa
- EPIUnit-Instituto de Saúde Pública, Universidade Do Porto, Porto, Portugal
- Environmental Health Department, National Institute of Health Doutor Ricardo Jorge, Porto, Portugal
- Laboratory for Integrative and Translational Research in Population Health (ITR), Porto, Portugal
| | - Eduardo Pásaro
- Departamento de Psicología, Universidade da Coruña, Grupo DICOMOSA, CICA-Centro Interdisciplinar de Química e Bioloxía, A Coruña, Spain
- Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain
| | - Vanessa Valdiglesias
- Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain
- Departamento de Biología, Universidade da Coruña, Grupo NanoToxGen, CICA-Centro Interdisciplinar de Química e Bioloxía, A Coruña, Spain
| | - José C Millán-Calenti
- Gerontology and Geriatrics Research Group, Universidade da Coruña, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain
| | - Blanca Laffon
- Departamento de Psicología, Universidade da Coruña, Grupo DICOMOSA, CICA-Centro Interdisciplinar de Química e Bioloxía, A Coruña, Spain
- Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain
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Lee S. Impact of Modifiable Factors Associated with Physical Frailty and Cognitive Impairment Trajectory of Older Adults: Using the Korean Longitudinal Study of Aging 2006-2018. Healthcare (Basel) 2025; 13:315. [PMID: 39942504 PMCID: PMC11817315 DOI: 10.3390/healthcare13030315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2024] [Revised: 01/17/2025] [Accepted: 01/22/2025] [Indexed: 02/16/2025] Open
Abstract
Background/Objectives: To identify joint trajectories of physical frailty and cognitive impairment among community-dwelling older adults and to determine modifiable factors for each trajectory. Methods: Data were utilized from the Korean Longitudinal Study of Aging, which was conducted between 2006 and 2018. Physical frailty was assessed using the Fried phenotype, and cognitive impairment was evaluated using the Korean version of the Mini-Mental State Examination. Group-based trajectory modeling and logistic regression were employed for the analyses. Results: Based on longitudinal data, 415 participants averaging 72.2 years of age were analyzed. Three trajectories of physical frailty were identified: mild physical frailty, moderate physical frailty, and improving frailty. Two trajectories of cognitive impairment were identified: stable cognitive impairment and improving cognitive impairment. Factors influencing physical frailty trajectories included the number of medications taken, being overweight or obese, and depression. Education level was found to be associated with cognitive impairment trajectories. Conclusions: This study provides evidence for the distinct identification of joint trajectories of physical frailty and cognitive impairment, which can inform the target groups for intervention. It offers a basis for including modifiable physical and mental factors in intervention components for physical frailty trajectories.
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Affiliation(s)
- Sumi Lee
- Department of Nursing Science, Howon University, Gunsan 54058, Republic of Korea
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Holland C, Dravecz N, Owens L, Benedetto A, Dias I, Gow A, Broughton S. Understanding exogenous factors and biological mechanisms for cognitive frailty: A multidisciplinary scoping review. Ageing Res Rev 2024; 101:102461. [PMID: 39278273 DOI: 10.1016/j.arr.2024.102461] [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: 12/21/2023] [Revised: 07/15/2024] [Accepted: 08/15/2024] [Indexed: 09/18/2024]
Abstract
Cognitive frailty (CF) is the conjunction of cognitive impairment without dementia and physical frailty. While predictors of each element are well-researched, mechanisms of their co-occurrence have not been integrated, particularly in terms of relationships between social, psychological, and biological factors. This interdisciplinary scoping review set out to categorise a heterogenous multidisciplinary literature to identify potential pathways and mechanisms of CF, and research gaps. Studies were included if they used the definition of CF OR focused on conjunction of cognitive impairment and frailty (by any measure), AND excluded studies on specific disease populations, interventions, epidemiology or prediction of mortality. Searches used Web of Science, PubMed and Science Direct. Search terms included "cognitive frailty" OR (("cognitive decline" OR "cognitive impairment") AND (frail*)), with terms to elicit mechanisms, predictors, causes, pathways and risk factors. To ensure inclusion of animal and cell models, keywords such as "behavioural" or "cognitive decline" or "senescence", were added. 206 papers were included. Descriptive analysis provided high-level categorisation of determinants from social and environmental through psychological to biological. Patterns distinguishing CF from Alzheimer's disease were identified and social and psychological moderators and mediators of underlying biological and physiological changes and of trajectories of CF development were suggested as foci for further research.
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Affiliation(s)
- Carol Holland
- Division of Health Research, Health Innovation One, Sir John Fisher Drive, Lancaster University, Lancaster LA1 4YW, UK.
| | - Nikolett Dravecz
- Division of Health Research, Health Innovation One, Sir John Fisher Drive, Lancaster University, Lancaster LA1 4YW, UK.
| | - Lauren Owens
- Division of Biomedical and Life Sciences, Furness College, Lancaster University, LA1 4YG, UK.
| | - Alexandre Benedetto
- Division of Biomedical and Life Sciences, Furness College, Lancaster University, LA1 4YG, UK.
| | - Irundika Dias
- Aston University Medical School, Aston University, Birmingham B4 7ET, UK.
| | - Alan Gow
- Centre for Applied Behavioural Sciences, Department of Psychology, School of Social Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK.
| | - Susan Broughton
- Division of Biomedical and Life Sciences, Furness College, Lancaster University, LA1 4YG, UK.
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Li L, Li W, Fan T. Baduanjin Exercise Improves Cognitive Function in Older Adults With Mild Cognitive Impairment: A Systematic Review and Meta-analysis. J Nerv Ment Dis 2024; 212:500-506. [PMID: 39207292 DOI: 10.1097/nmd.0000000000001796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
ABSTRACT As a nonpharmacological method for cognitive rehabilitation, older adults with mild cognitive impairment (MCI) may benefit from Baduanjin exercise (BE), a moderate-intensity aerobic exercise. This meta-analysis was conducted to determine if BE is effective in enhancing cognitive performance in older adults with MCI. Using a combination of topic phrases and free words, systematic searches were executed in nine databases. Review Manager 5.4 was used to retrieve and statistically evaluate the data. Fourteen randomized controlled studies comprising 994 individuals aged ≥60 years were included in the meta-analysis. BE enhanced the general cognitive performance in individuals with MCI as measured by the Montreal Cognitive Assessment (standardized mean difference [SMD] = 2.56; 95% confidence interval [CI], 2.17, 2.96; p < 0.001). The level of memory decline (Wechsler Memory Scale; SMD = 12.46; 95% CI, 8.36, 16.57; p < 0.001), executive function (Trail Making Test; SMD = -7.08; 95% CI, -11.21, -2.94; p < 0.001), and frailty (Edmonton Frailty Scale; SMD = -0.97; 95% CI, -1.30, -0.64; p < 0.001) were all improved with BE for older adults with MCI. This study presented a therapeutic practice guide for using BE for cognitive rehabilitation in older adults. BE notably improves cognitive function in older adults with MCI and can be an excellent nonpharmaceutical therapy option.
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Affiliation(s)
- Liang Li
- Shanghai University of Sport, Shanghai, China
| | - Wenlong Li
- Faculty of Sport Science Ningbo University, Ningbo, China
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Deore HS, Taranikanti M, Gaur A, Varatharajan S, John NA, Katta R, Taranikanti SS, Umesh M, Ganji V, Medala K. Comprehensive, continuous, and compulsory monitoring of frailty in elderly. J Family Med Prim Care 2023; 12:3194-3199. [PMID: 38361887 PMCID: PMC10866276 DOI: 10.4103/jfmpc.jfmpc_233_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 06/21/2023] [Accepted: 07/03/2023] [Indexed: 02/17/2024] Open
Abstract
BACKGROUND The increasing elderly population makes frailty an increasing concern in society with vulnerability to stress and functional decline. Unrecognised comorbidities are common among the elderly due to lack of mention by the patients. Physicians should be equipped with effective interviewing skills along with the use of screening tools to assess any impairments in activities of daily living, cognition and signs of depression. OBJECTIVES To measure the degree of independence or dependence using scales and stratify patients based on Clinical Frailty Scale (CFS) so as to recommend it as a routinely usable tool. MATERIALS AND METHODS In total, 191 elderly subjects above the age of 65 years were recruited for geriatric assessment. Tools that assess performance in daily living activities and cognition were used. The prevalidated CFS was used to score frailty to stratify patients into frail and non-frail groups, and the parameters were compared. RESULTS Mean age of the study population was 69.54 years with 53.4% males and 46.6% females. Mean Katz index and mean Lawton score were >5. The mean Global Deterioration Scale (GDS) score was 1.5, and the mean clinical frailty score was 3.55. Significantly high number of male individuals were found in the frailty group. Hypertension was significantly higher in the frail group. The mean Katz scores were significantly lower, and mean GDS scores were significantly higher in the frailty group. Multivariable logistic regression has shown gender to be an important determinant of frailty with an odds ratio of 0.05 (CI-0.01-0.20). The higher Lawton score and GDS scores were significantly associated with frailty with an odds ratio of 0.33 (CI: 0.21-0.52) and 2.62 (CI: 1.14-6.02), respectively. CONCLUSION Men are more frail than women and co-morbidities like hypertension and coronary artery disease contribute to frailty with cognitive decline and decreased autonomy. A comprehensive assessment to identify frailty will provide a holistic view of well being among the elderly.
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Affiliation(s)
- Hiranya S. Deore
- Department of Physiology, All India Institute of Medical Sciences, Bibinagar, Hyderabad, Telangana, India
| | - Madhuri Taranikanti
- Department of Physiology, All India Institute of Medical Sciences, Bibinagar, Hyderabad, Telangana, India
| | - Archana Gaur
- Department of Physiology, All India Institute of Medical Sciences, Bibinagar, Hyderabad, Telangana, India
| | - Sakthivadivel Varatharajan
- Department of General Medicine, All India Institute of Medical Sciences, Bibinagar, Hyderabad, Telangana, India
| | - Nitin A. John
- Department of Physiology, All India Institute of Medical Sciences, Bibinagar, Hyderabad, Telangana, India
| | - Roja Katta
- Department of Physiology, ESIC Medical College and Hospital, Hyderabad, Telangana, India
| | - Sai Shriya Taranikanti
- Department of General Medicine, Agartala Government Medical College and GB Pant Hospital, Agartala, Tripura, India
| | - Madhusudhan Umesh
- Department of Physiology, All India Institute of Medical Sciences, Bibinagar, Hyderabad, Telangana, India
| | - Vidya Ganji
- Department of Physiology, All India Institute of Medical Sciences, Bibinagar, Hyderabad, Telangana, India
| | - Kalpana Medala
- Department of Physiology, All India Institute of Medical Sciences, Bibinagar, Hyderabad, Telangana, India
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