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Ai F, Li E, Dong A, Zhang H. Association between disability and cognitive function in older Chinese people: a moderated mediation of social relationships and depressive symptoms. Front Public Health 2024; 12:1354877. [PMID: 38689766 PMCID: PMC11058663 DOI: 10.3389/fpubh.2024.1354877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 04/04/2024] [Indexed: 05/02/2024] Open
Abstract
Objective Many previous studies have found that disability leads to cognitive impairment, and in order to better understand the underlying mechanisms between disability and cognitive impairment, the present study aimed to investigate the moderating role of social relationships, including their role as mediators between disability and cognitive impairment in depressive symptoms. Study design This is a cross-sectional study. Methods A total of 5,699 Chinese older adults from the 2018 China Longitudinal Healthy Longevity Survey (CLHLS) were included in this study, and PROCESS macro was used to perform simple mediator and moderator mediator analyses, which were used to analyze the relationship between depressive symptoms and social relationships between disability and cognitive impairment. Results The results of this study showed significant correlations between disability, cognitive impairment, depressive symptoms, and social relationships, and that depressive symptoms mediated the relationship between disability and cognitive functioning [B = -0.232; 95% CI: (-0.304, -0.164)], and that social relationships mediated disability and cognitive functioning through pathway a (Disability-Depressive Symptoms) [B = 0.190; 95% CI: (0.020, 0.036)], path b (depressive symptoms-cognitive impairment) [B = 0.029; 95% CI: (0.015, 0.042)], and path c' (incapacitation-cognitive impairment) [B = 0.492; 95% CI: (0.298, 0.685)] to modulate the effect of incapacitation on cognitive impairment. In addition, social activities and social networks moderated the mediation model directly or indirectly, whereas social support moderated only the direct effect. Conclusion This study explains the intrinsic link between incapacitation and cognitive impairment in Chinese older adults, and that social relationships and depressive symptoms can directly or indirectly modulate the effects between them. This provides a basis for healthcare professionals to be able to better develop interventions that can be used to improve the level of cognitive functioning and mental health of older adults.
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Affiliation(s)
| | | | | | - Huijun Zhang
- Department of Nursing, Jinzhou Medical University, Jinzhou, China
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Kiah Hui Siew S, Yu J, Teo TL, Chua KC, Mahendran R, Rawtaer I. Technology and physical activity for preventing cognitive and physical decline in older adults: Protocol of a pilot RCT. PLoS One 2024; 19:e0293340. [PMID: 38394113 PMCID: PMC10889650 DOI: 10.1371/journal.pone.0293340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 10/07/2023] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND Cognitive frailty, defined as having both physical frailty and cognitive impairment that does not satisfy the criteria for Major Neurocognitive Disorder, represents an elevated risk for morbidity. Hence, it is crucial to mitigate such risks. Physical activity interventions have been found effective in protecting against physical frailty and cognitive deterioration. This pilot RCT examines if smartwatches and mobile phone applications can help to increase physical activity, thereby improving physical and cognitive outcomes. METHODS Older individuals (n = 60) aged 60 to 85 years old will have their physical activity tracked using a smartwatch. The subjects will be randomized into two arms: one group will receive daily notification prompts if they did not reach the recommended levels of PA; the control group will not receive prompts. Outcome variables of physical activity level, neurocognitive scores, and physical frailty scores will be measured at baseline, T1 (3 months), and T2 (6 months). Sleep quality, levels of motivation, anxiety, and depression will be controlled for in our analyses. We hypothesize that the intervention group will have higher levels of physical activity resulting in improved cognitive and physical outcomes at follow-up. This study was approved by the National University of Singapore's Institutional Review Board on 17 August 2020 (NUS-IRB Ref. No.: H-20-038). DISCUSSION Wearable sensors technology could prove useful by facilitating self-management in physical activity interventions. The findings of this study can justify the use of technology in physical activity as a preventive measure against cognitive frailty in older adults. This intervention also complements the rapidly rising use of technology, such as smartphones and wearable health devices, in our lives today. REGISTRATION DETAILS This study has been retrospectively registered on clinicaltrials.gov on 5th January 2021 (NCT Identifier: NCT04692974), after the first participant was recruited.
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Affiliation(s)
- Savannah Kiah Hui Siew
- Psychology, School of Social Sciences, Nanyang Technological University, Singapore, Singapore
| | - Junhong Yu
- Psychology, School of Social Sciences, Nanyang Technological University, Singapore, Singapore
| | - Tat Lee Teo
- School of Engineering, Ngee Ann Polytechnic, Singapore, Singapore
| | - Kuang Chua Chua
- School of Engineering, Ngee Ann Polytechnic, Singapore, Singapore
| | - Rathi Mahendran
- Yeo Boon Khim Mind Science Centre, National University of Singapore, Singapore, Singapore
| | - Iris Rawtaer
- Department of Psychiatry, Sengkang General Hospital, Singapore, Singapore
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Peng J, Ming L, Wu J, Li Y, Yang S, Liu Q. Prevalence and related factors of cognitive frailty in diabetic patients in China: a systematic review and meta-analysis. Front Public Health 2023; 11:1249422. [PMID: 37927856 PMCID: PMC10620522 DOI: 10.3389/fpubh.2023.1249422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 10/02/2023] [Indexed: 11/07/2023] Open
Abstract
Objective Cognitive frailty (CF) is characterized by physical frailty and potentially reversible cognitive impairment without Alzheimer's disease and other dementias. Clarifying the prevalence and related factors of cognitive frailty can help researchers understand its epidemiological status and formulate intervention measures. This study aims to conduct a systematic review and meta-analysis of the prevalence and related factors of CF in diabetic patients in Chinas to better understand the current status of CF in diabetic patients in China and develop effective intervention measures for related factors. Methods PubMed, Web of Science, Embase, Cochrane Library, CNKI, Weipu(VIP), WANFANG, China Biology Medicine (CBM) and DUXIU were searched to collect epidemiological data on Chinese diabetic patients. Articles published through May 29, 2023, were searched. The number of diabetes with CF and the total number of diabetes in the included studies were extracted to estimate the prevalence of diabetes with CF. For factors related to diabetes with CF, odds ratios (OR) and 95% confidence intervals (CI) were used for estimation. Results A total of 248 records were screened, of which 18 met the inclusion criteria. The results of meta-analysis showed that the prevalence of Chinese diabetic patients with CF was 25.8% (95% CI = 19.7 to 31.9%). Subgroup analysis showed that hospital prevalence was higher than in the community and in women than in men. Combined estimates showed that depression, malnutrition, advanced age (≥70, ≥80), combined chronic diseases ≥4 and glycated hemoglobin ≥8.5 were risk factors for CF in diabetics patients in China, with regular exercise and high education level (≥ college) as protective factors. Conclusion Cognitive frailty was common in diabetic patients in China. Such populations should be screened early and intervened with relevant factors.Systematic review registration: A systematic review of this study evaluated the registered websites as https://www.crd.york.ac.uk/PROSPERO/, CRD42023431396.
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Affiliation(s)
- Junjie Peng
- School of Nursing, Yunnan University of Chinese Medicine, Kunming, Yunnan, China
| | - Limei Ming
- School of Nursing, Yunnan University of Chinese Medicine, Kunming, Yunnan, China
| | - Jiaming Wu
- School of Nursing, Yunnan University of Chinese Medicine, Kunming, Yunnan, China
| | - Yunchuan Li
- School of Nursing, Yunnan University of Chinese Medicine, Kunming, Yunnan, China
| | - Shuhua Yang
- The First People's Hospital of Yunnan Province, Kunming, Yunnan, China
| | - Qin Liu
- School of Nursing, Yunnan University of Chinese Medicine, Kunming, Yunnan, China
- Postdoctoral Research Station of Public Administration, Yunnan University, Kunming, Yunnan, China
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Choi K, Ko Y. Cross sectional association between cognitive frailty and disability among community-dwelling older adults: Focus on the role of social factors. Front Public Health 2023; 11:1048103. [PMID: 36844816 PMCID: PMC9947827 DOI: 10.3389/fpubh.2023.1048103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 01/23/2023] [Indexed: 02/11/2023] Open
Abstract
Background This study aimed to investigate the prevalence of cognitive frailty and the influence of social factors on the association between different levels of cognitive frailty and disability. Methods A nationally representative survey of non-institutionalized community-dwelling older adults in Korea was used. A total, 9,894 older adults were included in the analysis. We assessed the effects of social factors using social activities, social contacts, living arrangements, emotional support, and satisfaction with friends and neighbors. Results The prevalence of cognitive frailty was 1.6%, which was consistent with other population-based studies. Hierarchical logistic analysis demonstrated that the association between different levels of cognitive frailty and disability was attenuated when social participation, social contact, and satisfaction with friends and community were included in the model, and the magnitude of these effects differed across the levels of cognitive frailty. Discussion Considering the influence of social factors, interventions to enhance social relationships can help slow down the progression of cognitive frailty to disability.
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Affiliation(s)
- Kyungwon Choi
- Department of Nursing, Korea National University of Transportation, Chungju, Chungbuk, Republic of Korea
| | - Young Ko
- College of Nursing, Gachon University, Incheon, Republic of Korea,*Correspondence: Young Ko ✉
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Lu S, Xu Q, Yu J, Yang Y, Wang Z, Zhang B, Wang S, Chen X, Zhang Y, Zhu X, Hong K. Prevalence and possible factors of cognitive frailty in the elderly with hypertension and diabetes. Front Cardiovasc Med 2022; 9:1054208. [PMID: 36479571 PMCID: PMC9719916 DOI: 10.3389/fcvm.2022.1054208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 11/07/2022] [Indexed: 11/07/2023] Open
Abstract
BACKGROUND Cognitive frailty is the coexistence of physical frailty and mild cognitive impairment. Research shows that cognitive frailty is related to an increased risk of hospitalization, mortality, disability, and dementia. Diabetes and hypertension are common risk factors for physical frailty and cognitive impairment. However, the factors influencing cognitive frailty in the elderly with hypertension and diabetes are still unclear. This study aimed to investigate the possible factors influencing cognitive frailty in the elderly with hypertension and diabetes. METHODS A cross-sectional study was conducted. We evaluated people over 60 years with hypertension and diabetes who underwent physical examination in Wuxi Xin'an Community Health Service Center. Frail scale, Montreal Cognitive Assessment-Basic and clinical dementia rating were used to assess cognitive frailty. We collected demographic characteristics, hypertension and diabetes-related laboratory indicators of the participants. We also used various scales to assess the overall health status of the elderly. RESULTS Approximately 20.8% of the participants were determined to have cognitive frailty in elderly adults with hypertension and diabetes. These participants were older, had a lower monthly income, and included a higher proportion of peasants. They also had a higher level of depression (p = 0.037), higher risk of falls (p = 0.000), higher risk of malnutrition (p = 0.002), poorer ability to perform activities of daily living (ADL) (p = 0.000), and less social support (p = 0.030). Multivariate regression analysis was used to further assess the factors for cognitive frailty. After adjusting for possible confounders, age and ADL score emerged as risk factors, whereas high monthly income decreased the risk of cognitive frailty. CONCLUSION Cognitive frailty is correlated with age, income, and ability to perform daily living activities in the elderly with diabetes and hypertension. Closer attention to the elderly who have low income and poor self-care ability may play an important role in the early prevention of cognitive frailty and even dementia.
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Affiliation(s)
- Shourong Lu
- Department of Geriatric, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Qiao Xu
- Department of Geriatric, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Jie Yu
- Department of Geriatric, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Ying Yang
- Department of Geriatric, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Zhuo Wang
- Department of Geriatric, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Bingshan Zhang
- Department of Geriatric, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Shuqiang Wang
- Department of Medicine, Wuxi Xin'an Community Health Service Center, Wuxi, China
| | - Xiaorong Chen
- Department of Medicine, Wuxi Xin'an Community Health Service Center, Wuxi, China
| | - Yunyun Zhang
- Department of General Practice, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Xiaowei Zhu
- Department of Endocrinology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Kan Hong
- Department of Geriatric, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
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Kamasaki T, Otao H, Hachiya M, Kubo A, Okawa H, Fujiwara K, Sakamoto A, Shimokihara S, Maruta M, Tabira T. Social Functioning and Life-Related Domains Associated with Cognitive Frailty in Older Adults. PHYSICAL & OCCUPATIONAL THERAPY IN GERIATRICS 2022. [DOI: 10.1080/02703181.2022.2138678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
Affiliation(s)
- Taishiro Kamasaki
- Faculty of Rehabilitation Sciences Department of Rehabilitation Sciences, Nishikyushu University, Saga, Japan
- Doctoral Program of Clinical Neuropsychiatry, Graduate School of Health Sciences, Kagoshima University, Kagoshima, Japan
| | - Hiroshi Otao
- Faculty of Rehabilitation Sciences Department of Rehabilitation Sciences, Nishikyushu University, Saga, Japan
| | - Mizuki Hachiya
- Faculty of Rehabilitation Sciences Department of Rehabilitation Sciences, Nishikyushu University, Saga, Japan
| | - Atsuko Kubo
- Faculty of Rehabilitation Sciences Department of Rehabilitation Sciences, Nishikyushu University, Saga, Japan
| | - Hiroyuki Okawa
- Faculty of Rehabilitation Sciences Department of Rehabilitation Sciences, Nishikyushu University, Saga, Japan
| | - Kazuhiko Fujiwara
- Faculty of Rehabilitation Sciences Department of Rehabilitation Sciences, Nishikyushu University, Saga, Japan
| | - Asuka Sakamoto
- Faculty of Rehabilitation Sciences Department of Rehabilitation Sciences, Nishikyushu University, Saga, Japan
| | - Suguru Shimokihara
- Doctoral Program of Clinical Neuropsychiatry, Graduate School of Health Sciences, Kagoshima University, Kagoshima, Japan
| | - Michio Maruta
- Visiting Researcher, Faculty of Medicine, Kagoshima University, Kagoshima, Japan
| | - Takayuki Tabira
- Department of Occupational Therapy, School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima, Japan
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Wang W, Si H, Yu R, Qiao X, Jin Y, Ji L, Liu Q, Bian Y, Yu J, Wang C. Effects of reversible cognitive frailty on disability, quality of life, depression, and hospitalization: a prospective cohort study. Aging Ment Health 2022; 26:2031-2038. [PMID: 34889147 DOI: 10.1080/13607863.2021.2011835] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
OBJECTIVES Cognitive frailty, a potentially reversible condition describing the concurrence of physical frailty and mild cognitive impairment (MCI), has been recently proposed to incorporate subjective cognitive decline (SCD), a reversible pre-MCI state with more readily available cognitive reserve, as well as pre-physical frailty. Reversible cognitive frailty has been associated with dementia and mortality. We aimed to examine the association of reversible cognitive frailty with other adverse outcomes including disability, poor quality of life (QOL), depression, and hospitalization. METHODS This was a cohort study with 1-year follow-up among 735 Chinese community-dwelling older adults with intact cognition. Reversible cognitive frailty was operationalized with the presence of pre-physical or physical frailty identified by the Frailty Phenotype and SCD identified by the simplified SCD questionnaire including four self-report cognitive domains of memory, naming, orientation, and mathematical reasoning. Adverse outcomes included incident Activities of Daily Living (ADL)-Instrumental ADL (IADL) disability, poor physical, mental and overall QOL, depression, and hospitalization over 1-year follow-up. RESULTS The prevalence of reversible cognitive frailty was 27.8%. Participants with reversible cognitive frailty had higher risk of the incidence of ADL-IADL disability, poor physical QOL, poor mental QOL, poor overall QOL, and depression (Odds Ratios: 1.67-4.38, P < 0.05), but not higher risk of hospitalization over 1-year follow-up. CONCLUSION Reversible cognitive frailty was not uncommon and associated with incident disability, poor QOL, and depression among community-dwelling older adults. Early identification of reversible cognitive frailty can facilitate targeted interventions and may promote independence in older adults. UNLABELLED Supplemental data for this article is available online at http://dx.doi.org/10.1080/13607863.2021.2011835.
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Affiliation(s)
- Wenyu Wang
- School of Nursing, Peking University, Beijing, China
| | - Huaxin Si
- School of Nursing, Peking University, Beijing, China
| | - Ruby Yu
- Department of Medicine & Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
| | - Xiaoxia Qiao
- School of Nursing, Peking University, Beijing, China
| | - Yaru Jin
- School of Nursing, Peking University, Beijing, China
| | - Lili Ji
- School of Nursing, Peking University, Beijing, China
| | - Qinqin Liu
- School of Nursing, Peking University, Beijing, China
| | - Yanhui Bian
- School of Nursing, Peking University, Beijing, China
| | - Jiaqi Yu
- School of Nursing, Peking University, Beijing, China
| | - Cuili Wang
- School of Nursing, Peking University, Beijing, China
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Frailty as a Predictor of Hospitalization and Low Quality of Life in Geriatric Patients at an Internal Medicine Outpatient Clinic: A Cross-Sectional Study. Geriatrics (Basel) 2022; 7:geriatrics7050089. [PMID: 36136798 PMCID: PMC9498513 DOI: 10.3390/geriatrics7050089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/15/2022] [Accepted: 08/27/2022] [Indexed: 11/29/2022] Open
Abstract
Frailty is an aging-associated state that increases patients’ vulnerability to disease, and can lead to various adverse outcomes. It is classified as either physical frailty alone or physical frailty in combination with cognitive impairment (cognitive frailty). There are currently limited data available regarding the prevalence and adverse outcomes of frailty in Thailand. This was a cross-sectional study aimed at determining the prevalence of physical and cognitive frailty and their effects on hospitalization and quality of life. Participants were older patients who attended an internal medicine outpatient clinic. Frailty was diagnosed using the Thai Frailty Index. The Thai version of the MoCA was used to evaluate cognitive status. Univariate and multivariate analyses were performed to compare adverse outcomes in terms of poor quality of life and history of admission to hospital between patients with frailty and non-frail patients, and among patients with physical frailty, cognitive frailty, cognitive impairment, and robust (non-frail and non-cognitively impaired) patients. We enrolled 198 participants. The prevalence of physical and cognitive frailty was 28.78% and 20.70%, respectively. When compared with non-frail patients, frailty was associated with hospitalization (adjusted OR 3.01, p = 0.002) but was not significantly related to quality of life (adjusted OR = 1.98, p = 0.09). However, physical and cognitive frailty were associated with fair quality of life when compared with normal patients (adjusted OR = 4.34, p = 0.04 and adjusted OR = 4.28, p = 0.03, respectively). The prevalence of frailty—particularly cognitive frailty—was high. Frailty was associated with adverse outcomes in terms of hospitalization and quality of life.
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Gaspar PM, Campos-Magdaleno M, Pereiro AX, Facal D, Juncos-Rabadán O. Cognitive reserve and mental health in cognitive frailty phenotypes: Insights from a study with a Portuguese sample. Front Psychol 2022; 13:968343. [PMID: 36110284 PMCID: PMC9470123 DOI: 10.3389/fpsyg.2022.968343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 08/08/2022] [Indexed: 12/04/2022] Open
Abstract
Background Research on prevalence of cognitive frailty phenotypes in community-dwelling older adults in different countries is important to estimate their prevalence and to determine the influence of cognitive reserve and mental health in order to prevent frailty. The aims of this study were to estimate the prevalence of reversible and potentially reversible cognitive frailty (R-CF, PR-CF) in a Portuguese sample of old adults and explore the associations between these phenotypes and demographic, comorbidity, social support, cognitive reserve and mental health factors. Methods We assessed frailty (Fried criteria) in 250 community-dwelling older adults (179 women) aged 60 years or over (mean 71.04 years) without dementia, neurological or psychiatric disorders. Subjective cognitive decline and Mild cognitive impairment were diagnosed according to standard criteria. The questionnaires Charlson Index, Medical Outcomes Study Social Support, Cognitive Reserve Index and General Health were used for assessing comorbidity, social support, cognitive reserve and mental health, respectively. Results Prevalence of R-CF was 14%, and that of PR-CF, 15.2%. Cognitive frailty profiles differed significantly in relation to education, comorbidity, mental health, and cognitive reserve, but not in age or sex. Multivariate logistic regression showed that age, sex, comorbidity, social support, mental health, and cognitive reserve together predicted R-CF and PR-CF (90% specificity 75% sensitivity) with significant OR for mental health and cognitive reserve. Discussion Cognitive reserve and mental health are important factors predicting R-CF and PR-CF. We recommend assessing these factors for early detection of cognitive frailty and promoting psychological well-being and lifestyles that increase cognitive reserve in adults.
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Affiliation(s)
- Pedro Miguel Gaspar
- UNICES, Universidade da Maia, Maia, Portugal
- *Correspondence: Pedro Miguel Gaspar,
| | - María Campos-Magdaleno
- Department of Developmental Psychology, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Arturo X. Pereiro
- Department of Developmental Psychology, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - David Facal
- Department of Developmental Psychology, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Onésimo Juncos-Rabadán
- Department of Developmental Psychology, University of Santiago de Compostela, Santiago de Compostela, Spain
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Das S. Cognitive frailty among community-dwelling rural elderly population of West Bengal in India. Asian J Psychiatr 2022; 70:103025. [PMID: 35189474 DOI: 10.1016/j.ajp.2022.103025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 01/06/2022] [Accepted: 02/11/2022] [Indexed: 12/27/2022]
Abstract
OBJECTIVES There has been growing interest in the links between physical frailty and cognitive impairment: both can increase the risk of emerging life-threatening health problems and are currently prominent within the global geriatric health agenda. A recent consensus proposes the idea of 'cognitive frailty' defined by the presence of both physical frailty and cognitive impairment in the absence of dementia. Present study is intended to determine the prevalence of cognitive frailty and its associated factors. METHODS Cross-sectional survey was conducted among the rural community-dwelling elderly population of West Bengal, India (n = 510), without diagnosed dementia at baseline. An Interview-based questionnaire was administered to obtain information on sociodemographic, physical and psychosocial characteristics. Study participants were categorized as non-cognitive impairment (NCI) and cognitive impairment (CI) by Bangla Adaptation of Mini-Mental State Exam (BMSE ≤ 25) scale, as non-physical frailty (NPF) and physical frailty (PF) using Modified Fried Frailty Phenotype (FP ≥ 3) scale, as robust (NPF + NCI), pre-cognitive frailty (NPF + CI or PF + NCI) and cognitive frailty (PF + CI). RESULTS The overall prevalence of cognitive frailty was 21.8%. In multinomial regression analysis, final model indicated that increasing age, being woman, out-of-wedlock, poor education and non-working sociodemographic status had significant association with cognitive frailty. Poor nutritional status, low health-related quality of life and depression are also prone among the cognitively frail participants. CONCLUSIONS Present study allows us to understand complementary relationships between sociodemographic, physical, psychosocial characteristics and cognitive frailty. There is a dire need for multidimensional approach for providing appropriate and comprehensive geriatric health care for developing countries like India.
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Affiliation(s)
- Sayani Das
- Biological Anthropology Unit, Indian Statistical Institute, Kolkata, India.
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Health Care Utilization and Out-of-Pocket Payments among Elderly with Cognitive Frailty in Malaysia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19063361. [PMID: 35329059 PMCID: PMC8954898 DOI: 10.3390/ijerph19063361] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 03/08/2022] [Accepted: 03/09/2022] [Indexed: 01/27/2023]
Abstract
Background: Cognitive frailty (CF) as a potential risk factor for dementia, functional disability, poor quality of life, and mortality. The aim of this study was to explore the health care-related utilization and out-of-pocket (OOP) expenditures, sociodemographic characteristics, and comorbidities among elderly Malaysians with CF. Methods: A cross-sectional study targeting elderly Malaysian aged ≥65 years was conducted. The study included all participants of the fourth phase of the Malaysian representative Long-Term-Research-Grant-Scheme Towards-Useful-Aging (LRGS-TUA) community-based study. A structured and validated interview questionnaire was used. Results: In total, 1006 elderly were interviewed, with a 66.18% response rate. Only 730 respondents met the inclusion criteria. Of the eligible respondents, the CF prevalence was 4.5%. Around 60.6% of the participants with CF had utilized outpatient care at government clinics within the past 6 months. The estimated mean total OOP payments for CF during the past 6 months was 84 Malaysian Ringgit (RM) (SD 96.0). Conclusions: CF among elderly Malaysians is within the internationally recognized range of prevalence. The OOP payments for seeking health care among CF elderly are not different from that of other elderly categories. There is a high possibility of underutilization of the health care services of CF cases while they are still needy.
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Zamudio-Rodríguez A, Avila-Funes JA, Tabue-Teguo M, Dartigues JF, Amieva H, Pérès K. Towards an approach of disability along a continuum from robustness, pre-frailty, frailty to disability. Age Ageing 2022; 51:6540135. [PMID: 35231091 DOI: 10.1093/ageing/afac025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND frailty and disability are very prevalent in older age and although both are distinct clinical entities, they are commonly used indistinctly in order to identify vulnerable older adults. OBJECTIVE to propose a hierarchical indicator between frailty and disability among older adults along a single continuum. DESIGN population-based cohort study. SETTING the Bordeaux Three-City Study and the Aging Multidisciplinary Investigation (AMI) cohort. SUBJECTS the sample included 1800 participants aged 65 and older. METHODS an additive hierarchical indicator was proposed by combining the phenotype of frailty (robustness, pre-frailty and frailty), instrumental activities of daily living (IADL) and basic activities of daily living (ADL). To test the relevance of this indicator, we estimated the 4-year mortality risk associated with each stage of the indicator. RESULTS in total, 34.0% were Robust (n = 612), 29.9% were Pre-frail (n = 538), 3.2% were Robust with IADL-disability (n = 58), 4.6% had pure Frailty (no disability) (n = 82), 11.9% were Pre-frail + IADL (n = 215), 8.6% were Frail + IADL (n = 154) and 7.8% Frail + IADL + ADL (n = 141). After grouping grades with similar mortality risks, we obtained a five-grade hierarchical indicator ranging from robustness to severe stage of the continuum. Each state presented a gradually increasing risk of dying compared to the robust group (from Hazard Ratio (HR) = 2.20 [1.49-3.25] to 15.10 [9.99-22.82]). CONCLUSIONS We confirmed that combining pre-frailty, frailty, IADL- and ADL-disability into a single indicator may improve our understanding of the aging process. Pre-frailty identified as the 'entry door' into the process may represent a key stage that could offer new opportunities for early, targeted, individualized and tailored interventions and care in clinical geriatrics.
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Affiliation(s)
| | - José Alberto Avila-Funes
- Inserm, Bordeaux Population Health Research Center, University of Bordeaux, Bordeaux, France
- Department of Geriatrics, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Maturin Tabue-Teguo
- Inserm, Bordeaux Population Health Research Center, University of Bordeaux, Bordeaux, France
- CHU de Pointe-à-Pitre (Guadeloupe), Equipe LAMIA, Université des Antilles (Guadeloupe), Pointe-à-Pitre, France
| | - Jean-François Dartigues
- Inserm, Bordeaux Population Health Research Center, University of Bordeaux, Bordeaux, France
| | - Hélène Amieva
- Inserm, Bordeaux Population Health Research Center, University of Bordeaux, Bordeaux, France
| | - Karine Pérès
- Inserm, Bordeaux Population Health Research Center, University of Bordeaux, Bordeaux, France
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13
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Wada A, Makizako H, Nakai Y, Tomioka K, Taniguchi Y, Sato N, Kiuchi Y, Kiyama R, Kubozono T, Takenaka T, Ohishi M. Association between cognitive frailty and higher-level competence among community-dwelling older adults. Arch Gerontol Geriatr 2022; 99:104589. [DOI: 10.1016/j.archger.2021.104589] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 11/13/2021] [Accepted: 11/25/2021] [Indexed: 11/27/2022]
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14
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Rahman M, Mim SA, Islam R, Parvez A, Islam F, Uddin MB, Rahaman S, Shuvo PA, Ahmed M, Greig NH, Kamal MA. Exploring the Recent Trends in Management of Dementia and Frailty: Focus on Diagnosis and Treatment. Curr Med Chem 2022; 29:5289-5314. [PMID: 35400321 PMCID: PMC10477961 DOI: 10.2174/0929867329666220408102051] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 09/19/2021] [Accepted: 09/19/2021] [Indexed: 02/08/2023]
Abstract
Dementia and frailty increase health adversities in older adults, which are topics of growing research interest. Frailty is considered to correspond to a biological syndrome associated with age. Frail patients may ultimately develop multiple dysfunctions across several systems, including stroke, transient ischemic attack, vascular dementia, Parkinson's disease, Alzheimer's disease, frontotemporal dementia, dementia with Lewy bodies, cortico-basal degeneration, multiple system atrophy, amyotrophic lateral sclerosis, and Creutzfeldt-Jakob disease. Patients with dementia and frailty often develop malnutrition and weight loss. Rigorous nutritional, pharmacological, and non-pharmacological interventions generally are required for these patients, which is a challenging issue for healthcare providers. A healthy diet and lifestyle instigated at an early age can reduce the risk of frailty and dementia. For optimal treatment, accurate diagnosis involving clinical evaluation, cognitive screening, essential laboratory evaluation, structural imaging, functional neuroimaging, and neuropsychological testing is necessary. Diagnosis procedures best apply the clinical diagnosis, identifying the cause(s) and the condition(s) appropriate for treatment. The patient's history, caregiver's interview, physical examination, cognitive evaluation, laboratory tests, and structural imaging should best be involved in the diagnostic process. Varying types of physical exercise can aid the treatment of these disorders. Nutrition maintenance is a particularly significant factor, such as exceptionally high-calorie dietary supplements and a Mediterranean diet to support weight gain. The core purpose of this article is to investigate trends in the management of dementia and frailty, focusing on improving diagnosis and treatment. Substantial evidence builds the consensus that a combination of balanced nutrition and good physical activity is an integral part of treatment. Notably, more evidence-based medicine knowledge is required.
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Affiliation(s)
- Mominur Rahman
- Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka-1207, Bangladesh
| | - Sadia Afsana Mim
- Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka-1207, Bangladesh
| | - Rezaul Islam
- Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka-1207, Bangladesh
| | - Anwar Parvez
- Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka-1207, Bangladesh
| | - Fahadul Islam
- Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka-1207, Bangladesh
| | - Mohammad Borhan Uddin
- Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka-1207, Bangladesh
| | - Saidur Rahaman
- Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka-1207, Bangladesh
| | - Pollob Ahmed Shuvo
- Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka-1207, Bangladesh
| | - Muniruddin Ahmed
- Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka-1207, Bangladesh
| | - Nigel H. Greig
- Translational Gerontology Branch, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Mohammad Amjad Kamal
- Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka-1207, Bangladesh
- Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
- King Fahd Medical Research Center, King Abdulaziz University, Saudi Arabia
- Enzymoics, NSW; Novel Global Community Educational Foundation, Peterlee Place, Hebersham, NSW 2770, Australia
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15
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Tang H, Zhu H, Sun Q, Qin H, Wang S. Transitions in the Cognitive Frailty States in Community-Living Older Adults: A 6-Year Prospective Cohort Study. Front Aging Neurosci 2021; 13:774268. [PMID: 34924997 PMCID: PMC8672135 DOI: 10.3389/fnagi.2021.774268] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Accepted: 11/04/2021] [Indexed: 02/05/2023] Open
Abstract
Background: Frailty is a multidimensional concept, including physical, cognitive, social, sensorial, psychological, and nutritional phenotypes. Among these phenotypes, cognitive frailty is the most widely investigated, which is related to many adverse health outcomes in older individuals. Whether cognitive frailty is dynamic or how these frail phenotypes interact remains an open issue. We studied the rate of these changes over time and their associated factors in a 6-year follow-up cohort. Methods: A total of 426 Chinese community-living older adults in Dujiangyan aged 65 years or older were involved and followed up in three visits 6 years apart. Frailty and cognitive function were assessed using the FRAIL scale and the Mini-Mental State Examination scale. Demographic information, geriatric syndrome, and social interaction status were studied. Rates of transitions in cognitive frailty states and associated risk factors were studied. We used the stepwise logistic regression model to analyze risk factors. Results: At baseline, 18.8% of participants were only in the physical frailty (PF) or mild cognitive impairment (MCI) group, and 0.09% of participants were in the cognitive frailty group. By the end of 6 years, 62 (14.5%) participants had died, and the rates of only PF or MCI group and cognitive frailty group increased to 36.2 and 3.3%, respectively. Also, 199 (46.7%) participants had deteriorated compared with the baseline. The multivariate regression analysis showed that older (OR = 1.12, 95% CI = 1.07 − 1.16, P < 0.001), smoker (OR = 2.15, 95% CI = 1.37 − 3.39, P = 0.001), poor self-evaluation health status (OR = 1.93, 95% CI = 1.06 − 3.51, P = 0.033), and malnutrition (OR = 2.07, 95% CI = 1.21 − 3.52, P = 0.008) were risk factors for worsening, whereas willing to make new friends (OR = 0.61, 95% CI = 0.38 − 0.96, P = 0.032) was associated with 39% lower chance of deterioration. Conclusion: Cognitive frailty is a dynamically changing state, where transitions may be influenced by multidimensions. Multidimensional monitoring of a wide range of events occurring in aging may be the best way to act early. We hope our study may serve as a starting point for redefining the definition of cognitive frailty by covering different frailty domains.
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Affiliation(s)
- Huiyu Tang
- The Center of Gerontology and Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Huan Zhu
- The Center of Gerontology and Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Qianqian Sun
- The Center of Gerontology and Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Hai Qin
- Internal Medicine Department, Pingyi Community Health Service Center, Dujiangyan, China
| | - Shuang Wang
- The Center of Gerontology and Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
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Sugimoto T, Arai H, Sakurai T. An update on cognitive frailty: Its definition, impact, associated factors and underlying mechanisms, and interventions. Geriatr Gerontol Int 2021; 22:99-109. [PMID: 34882939 DOI: 10.1111/ggi.14322] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 11/02/2021] [Accepted: 11/17/2021] [Indexed: 01/10/2023]
Abstract
Since the concept and operational definition of "cognitive frailty" (simultaneous presence of physical frailty and cognitive impairment without concurrent dementia) were proposed by the International Academy of Nutrition and Aging and the International Association of Gerontology and Geriatrics, cognitive frailty has been widely investigated. This review is intended to address the operational definition of cognitive frailty, its consequences, contributing factors and underlying mechanisms, as well as interventions for cognitive frailty. Although the definitions and assessments of cognitive frailty vary among researchers, older adults with both physical frailty and cognitive impairment are shown to be at higher risk of adverse health outcomes, including death, disability, hospitalization and incident dementia, than those with either condition alone. While the underlying mechanisms of cognitive frailty are still unclear, factors shown to be associated with cognitive frailty include sociodemographic factors, social status, nutritional status, geriatric syndrome, physical and cognitive activities, functional status, comorbidities, medication use, gut-derived metabolites and structural changes in the brain. Accumulating evidence indicates the need for comprehensive geriatric assessment that helps identify the possible causes of cognitive frailty and develop a multimodal individualized intervention to prevent adverse health outcomes for older adults with cognitive frailty. Further studies are required to clarify the mechanisms through which physical frailty and cognitive impairment interact to accelerate adverse health outcomes, particularly cognitive outcomes. In addition, for older adults with cognitive frailty, an effective flow diagram from primary screening through comprehensive assessment to multidimensional intervention needs to be developed for future implementation in both clinical and community settings. Geriatr Gerontol Int 2021; ••: ••-••.
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Affiliation(s)
- Taiki Sugimoto
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan.,Center for Comprehensive Care and Research on Memory Disorders, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Hidenori Arai
- National Center for Geriatrics and Gerontology, Obu, Japan
| | - Takashi Sakurai
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan.,Center for Comprehensive Care and Research on Memory Disorders, National Center for Geriatrics and Gerontology, Obu, Japan.,Department of Cognition and Behavior Science, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Cognitive Frailty in Thai Community-Dwelling Elderly: Prevalence and Its Association with Malnutrition. Nutrients 2021; 13:nu13124239. [PMID: 34959791 PMCID: PMC8709040 DOI: 10.3390/nu13124239] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 11/19/2021] [Accepted: 11/23/2021] [Indexed: 12/12/2022] Open
Abstract
Cognitive frailty (CF) is defined by the coexistence of physical frailty and mild cognitive impairment. Malnutrition is an underlying factor of age-related conditions including physical frailty. However, the evidence associating malnutrition and cognitive frailty is limited. This cross-sectional study aimed to determine the association between malnutrition and CF in the elderly. A total of 373 participants aged 65-84 years were enrolled after excluding those who were suspected to have dementia and depression. Then, 61 CF and 45 normal participants were randomly selected to measure serum prealbumin level. Cognitive function was assessed using the Montreal Cognitive Assessment-Basic (MoCA-B). Modified Fried's criteria were used to define physical frailty. Nutritional status was evaluated by the Mini Nutritional Assessment-short form (MNA-SF), serum prealbumin, and anthropometric measurements. The prevalence of CF was 28.72%. Malnourished status by MNA-SF category (aOR = 2.81, 95%CI: 1.18-6.67) and MNA-SF score (aOR = 0.84, 95%CI = 0.74-0.94) were independently associated with CF. However, there was no correlation between CF and malnutrition assessed by serum prealbumin level and anthropometric measurements. Other independent risk factors of CF were advanced age (aOR = 1.06, 95%CI: 1.02-1.11) and educational level below high school (aOR = 6.77, 95%CI: 1.99-23.01). Malnutrition was associated with CF among Thai elderly. High-risk groups who are old and poorly educated should receive early screening and nutritional interventions.
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Rivan NFM, Singh DKA, Shahar S, Wen GJ, Rajab NF, Din NC, Mahadzir H, Kamaruddin MZA. Cognitive frailty is a robust predictor of falls, injuries, and disability among community-dwelling older adults. BMC Geriatr 2021; 21:593. [PMID: 34696720 PMCID: PMC8543922 DOI: 10.1186/s12877-021-02525-y] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 10/04/2021] [Indexed: 12/20/2022] Open
Abstract
Background Cognitive frailty, a combination of physical frailty and cognitive impairment, is associated with functional decline in older adults. However, there is limited information if cognitive frailty predicts the incidence of falls, injuries, and disability. In this study, we aimed to determine the ability of cognitive frailty in predicting the incidence of falls, injuries and disability among multi-ethnic older adults in Malaysia at 5 years follow-up. Methods In this prospective cohort study, a total of 400 participants aged 60 years and above were successfully followed up at 5 years. Participants’ socio-demographic, medical history, psycho-social, physical, cognitive and dietary intake information was obtained. Cognitive frailty was defined as comorbid physical frailty (> 1 Fried criteria) and mild cognitive impairment (Petersen criteria). Univariate analysis was performed for all variables, followed by hierarchical binary logistic regression (BLR) analysis to identify the ability of CF in predicting the incidence of falls, injuries, and disability. The significant value was set at p < 0.05. Results Cognitive frailty was found to be associated with greater risk of adverse consequences after adjusting for covariates. Both cognitive frailty (Adjusted Odd ratio (Adj OR) = 2.98, 95% confidence interval (CI): 1.78–4.99, p < 0.05) and physical frailty (Adj OR = 2.88, 95% CI: 1.19–6.99, p < 0.05) were significant predictors of incidence of falls. Risk of injuries was also significantly increased with the presence of cognitive frailty (Adj OR = 3.06, 95% CI: 1.23–7.60, p < 0.05) and physical frailty (Adj OR = 3.04, 95% CI: 1.75–5.28, p < 0.05). In addition, cognitive frailty (Adj OR = 5.17, 95% CI: 1.11–24.21, p < 0.05) and physical frailty (Adj OR = 4.99, 95% CI: 1.11–22.57, p < 0.05) were shown to significantly predict the incidence of disability among older adults. Conclusion Cognitive frailty is a robust predictor of falls, injuries, and disability in older adults. Possible early multi-domain preventive and management strategies of cognitive frailty that contribute to adverse consequences are required to decrease further functional decline and promote independence in older adults.
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Affiliation(s)
- Nurul Fatin Malek Rivan
- Nutritional Sciences Programme and Centre for Healthy Ageing and Wellness (H-CARE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia
| | - Devinder Kaur Ajit Singh
- Physiotherapy Programme & Centre for Healthy Ageing and Wellness (H-CARE), Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia.
| | - Suzana Shahar
- Dietetics Programme and Centre for Healthy Ageing and Wellness (H-CARE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia
| | - Goh Jing Wen
- Physiotherapy Programme & Centre for Healthy Ageing and Wellness (H-CARE), Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia
| | - Nor Fadilah Rajab
- Biomedical Science Programme, Centre for Healthy Ageing and Wellness (H-CARE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia
| | - Normah Che Din
- Health Psychology Programme and Centre of Rehabilitation Science, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia
| | - Hazlina Mahadzir
- Internal Medicine & Geriatric Department, Pusat Perubatan Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, Batu 9 Cheras, 56000, Kuala Lumpur, Malaysia
| | - Mohd Zul Amin Kamaruddin
- Centre for Healthy Ageing and Wellness (H-CARE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia
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Prevalence of cognitive frailty among community-dwelling older adults: A systematic review and meta-analysis. Int J Nurs Stud 2021; 125:104112. [PMID: 34758429 DOI: 10.1016/j.ijnurstu.2021.104112] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 10/02/2021] [Accepted: 10/11/2021] [Indexed: 01/01/2023]
Abstract
OBJECTIVE The aim of this systematic review and meta-analysis was to investigate the pooled prevalence of cognitive frailty among community-dwelling older adults and provide evidence-based support for policy-makers planning health and social care policies. DESIGN A systematic review and meta-analysis. METHODS PubMed, Web of Science, Embase and the Cochrane Library were systematically searched from their inception to December 10, 2020. Descriptive studies (cross-sectional studies or population-based longitudinal studies) and cohort studies were available. Participants were community-dwelling older adults aged 60 years and above. Two researchers independently screened the literature, extracted the data and evaluated the quality of the included studies. All statistical analyses were conducted using Stata 15.0. RESULTS We screened 2815 records, among which 24 studies met the inclusion criteria and were included in the review. The pooled prevalence of cognitive frailty was 9% (95% CI: 8%-11%, I2 = 99.3%). The results of the subgroup analysis showed that the pooled prevalence of cognitive frailty was 11% (95% CI: 9%-14%) in men and 15% (95% CI: 11%-19%) in women. The pooled prevalence of cognitive frailty based on the descriptive studies and cohort studies was 7% (95% CI: 5%-9%) and 17% (95% CI: 11%-22%), respectively. The pooled estimates of cognitive frailty prevalence were 6% (95% CI: 4%-8%) from 2012 to 2017 and 11% (95% CI: 9%-14%) from 2018 to 2020. CONCLUSIONS This systematic review analyzed the available literature and revealed that the pooled prevalence of cognitive frailty among community-dwelling older adults was 9%. The stratified analysis showed that the prevalence of cognitive frailty was higher in older women. In addition, the prevalence has increased in recent years, which has important implications for adapting health and social care systems.
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20
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Sardone R, Castellana F, Bortone I, Lampignano L, Zupo R, Lozupone M, Griseta C, Dibello V, Seripa D, Guerra V, Donghia R, Logroscino G, Solfrizzi V, Quaranta N, Ferrucci L, Giannelli G, Panza F. Association Between Central and Peripheral Age-Related Hearing Loss and Different Frailty Phenotypes in an Older Population in Southern Italy. JAMA Otolaryngol Head Neck Surg 2021; 147:561-571. [PMID: 33570584 DOI: 10.1001/jamaoto.2020.5334] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Importance The association between age-related hearing loss (ARHL) and physical or cognitive frailty has been poorly explored. These associations could define new perspectives for delaying frailty-related processes in older age. Objective To examine whether peripheral ARHL and age-related central auditory processing disorder (CAPD) are independently associated with physical or cognitive frailty. Design, Setting, and Participants This cross-sectional study analyzed registry data from December 31, 2014, on 1929 older (≥65 years) participants of the Salus in Apulia Study (Southern Italy) who underwent audiologic, physical, and neuropsychological assessment. Data analysis was performed from December 12, 2019, to January 4, 2020. Main Outcomes and Measures Prevalence of peripheral ARHL in older individuals with physical and/or cognitive frailty and those without frailty assessed using the Fried criteria (physical) and the Mini-Mental State Examination (cognitive). Multivariable logistic regression models were used to assess associations of audiologic variables with frailty phenotype. Results Data from 1929 participants (mean [SD] age, 73.6 [6.3] years; 974 male [50.5%]) were eligible for the analyses. The prevalence of peripheral ARHL was higher in the physical frailty group (96 [26.6%]) than in the nonfrail group (329 [21.0%]) (difference, 5.61 percentage points; 95% CI, 0.63-10.59 percentage points) and in the cognitive frailty group (40 [38.8%]) than in the nonfrail group (385 [21.1%]) (difference, 17.75 percentage points; 95% CI, 8.2-27.3 percentage points). Age-related CAPD was more prevalent in the physical frailty group (62 [17.2%]) than in the nonfrail group (219 [14.0%]) (difference, 3.21 percentage points; 95% CI, -1.04 to 7.46 percentage points) and in the cognitive frailty group (28 [27.2%]) than in the nonfrail group (253 [13.9%]) (difference, 13.33 percentage points; 95% CI, 4.10-22.21 percentage points). In the multivariable models, age-related CAPD was associated with cognitive frailty in the fully adjusted model (odds ratio [OR], 1.889; 95% CI, 1.094-3.311). There was also an inverse association between the unitary increase in Synthetic Sentence Identification With the Ipsilateral Competitive Message scores, indicating a lower likelihood of this disorder, and cognitive frailty (OR, 0.989; 95% CI, 0.988-0.999). Peripheral ARHL was associated with cognitive frailty only in the partially adjusted model (OR, 1.725; 95% CI, 1.008-2.937). Conclusions and Relevance In this cross-sectional study of 1929 participants, age-related CAPD was independently associated with cognitive frailty. Whether the management of ARHL may help prevent the development of different frailty phenotypes or improve their clinical consequences should be addressed in longitudinal studies and, eventually, well-designed randomized clinical trials.
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Affiliation(s)
- Rodolfo Sardone
- Population Health Unit, Salus in Apulia Study, National Institute of Gastroenterology Saverio de Bellis, Research Hospital, Castellana Grotte, Bari, Italy
| | - Fabio Castellana
- Population Health Unit, Salus in Apulia Study, National Institute of Gastroenterology Saverio de Bellis, Research Hospital, Castellana Grotte, Bari, Italy
| | - Ilaria Bortone
- Population Health Unit, Salus in Apulia Study, National Institute of Gastroenterology Saverio de Bellis, Research Hospital, Castellana Grotte, Bari, Italy
| | - Luisa Lampignano
- Population Health Unit, Salus in Apulia Study, National Institute of Gastroenterology Saverio de Bellis, Research Hospital, Castellana Grotte, Bari, Italy
| | - Roberta Zupo
- Population Health Unit, Salus in Apulia Study, National Institute of Gastroenterology Saverio de Bellis, Research Hospital, Castellana Grotte, Bari, Italy
| | - Madia Lozupone
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Chiara Griseta
- Population Health Unit, Salus in Apulia Study, National Institute of Gastroenterology Saverio de Bellis, Research Hospital, Castellana Grotte, Bari, Italy
| | - Vittorio Dibello
- Department of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam, University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Davide Seripa
- Geriatric Unit and Laboratory of Gerontology and Geriatrics, Department of Medical Sciences, Aging Network of Italian Research Hospitals, Casa Sollievo della Sofferenza, San Giovanni Rotondo, Foggia, Italy.,Hematology and Stem Cell Transplant Unit, Vito Fazzi Hospital, ASL Lecce, Lecce, Italy
| | - Vito Guerra
- Population Health Unit, Salus in Apulia Study, National Institute of Gastroenterology Saverio de Bellis, Research Hospital, Castellana Grotte, Bari, Italy
| | - Rossella Donghia
- Population Health Unit, Salus in Apulia Study, National Institute of Gastroenterology Saverio de Bellis, Research Hospital, Castellana Grotte, Bari, Italy
| | - Giancarlo Logroscino
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy.,Department of Clinical Research in Neurology, Pia Fondazione Cardinale G. Panico, Tricase, Lecce, Italy
| | - Vincenzo Solfrizzi
- Cesare Frugoni Internal and Geriatric Medicine and Memory Unit, University of Bari Aldo Moro, Bari, Italy
| | - Nicola Quaranta
- Otolaryngology Unit, Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Gianluigi Giannelli
- Population Health Unit, Salus in Apulia Study, National Institute of Gastroenterology Saverio de Bellis, Research Hospital, Castellana Grotte, Bari, Italy
| | - Francesco Panza
- Population Health Unit, Salus in Apulia Study, National Institute of Gastroenterology Saverio de Bellis, Research Hospital, Castellana Grotte, Bari, Italy
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Kwan RYC, Liu JYW, Fong KNK, Qin J, Leung PKY, Sin OSK, Hon PY, Suen LW, Tse MK, Lai CK. Feasibility and Effects of Virtual Reality Motor-Cognitive Training in Community-Dwelling Older People With Cognitive Frailty: Pilot Randomized Controlled Trial. JMIR Serious Games 2021; 9:e28400. [PMID: 34383662 PMCID: PMC8380584 DOI: 10.2196/28400] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 05/11/2021] [Accepted: 06/28/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Cognitive frailty refers to the coexistence of physical frailty and cognitive impairment, and is associated with many adverse health outcomes. Although cognitive frailty is prevalent in older people, motor-cognitive training is effective at enhancing cognitive and physical function. We proposed a virtual reality (VR) simultaneous motor-cognitive training program, which allowed older people to perform daily activities in a virtual space mimicking real environments. OBJECTIVE We aimed to (1) explore the feasibility of offering VR simultaneous motor-cognitive training to older people with cognitive frailty and (2) compare its effects with an existing motor-cognitive training program in the community on the cognitive function and physical function of older people with cognitive frailty. METHODS A two-arm (1:1), assessor-blinded, parallel design, randomized controlled trial was employed. The eligibility criteria for participants were: (1) aged ≥60 years, (2) community dwelling, and (3) with cognitive frailty. Those in the intervention group received cognitive training (ie, cognitive games) and motor training (ie, cycling on an ergometer) simultaneously on a VR platform, mimicking the daily living activities of older people. Those in the control group received cognitive training (ie, cognitive games) on tablet computers and motor training (ie, cycling on the ergometer) sequentially on a non-VR platform. Both groups received a 30-minute session twice a week for 8 weeks. Feasibility was measured by adherence, adverse outcomes, and successful learning. The outcomes were cognitive function, physical frailty level, and walking speed. RESULTS Seventeen participants were recruited and randomized to either the control group (n=8) or intervention group (n=9). At baseline, the median age was 74.0 years (IQR 9.5) and the median Montreal Cognitive Assessment score was 20.0 (IQR 4.0). No significant between-group differences were found in baseline characteristics except in the number of chronic illnesses (P=.04). At postintervention, the intervention group (Z=-2.67, P=.01) showed a significantly larger improvement in cognitive function than the control group (Z=-1.19, P=.24). The reduction in physical frailty in the intervention group (Z=-1.73, P=.08) was similar to that in the control group (Z=-1.89, P=.06). Improvement in walking speed based on the Timed Up-and-Go test was moderate in the intervention group (Z=-0.16, P=.11) and greater in the control group (Z=-2.52, P=.01). The recruitment rate was acceptable (17/33, 52%). Both groups had a 100% attendance rate. The intervention group had a higher completion rate than the control group. Training was terminated for one participant (1/9, 11%) due to minimal VR sickness (Virtual Reality Sickness Questionnaire score=18.3/100). Two participants (2/8, 25%) in the control group withdrew due to moderate leg pain. No injuries were observed in either group. CONCLUSIONS This study provides preliminary evidence that the VR simultaneous motor-cognitive training is effective at enhancing the cognitive function of older people with cognitive frailty. The effect size on frailty was close to reaching a level of significance and was similar to that observed in the control group. VR training is feasible and safe for older people with cognitive frailty. TRIAL REGISTRATION ClinicalTrials.gov NCT04467216; https://clinicaltrials.gov/ct2/show/NCT04467216.
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Affiliation(s)
- Rick Yiu Cho Kwan
- Centre for Gerontological Nursing, School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)
| | - Justina Yat Wa Liu
- Centre for Gerontological Nursing, School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)
| | - Kenneth Nai Kuen Fong
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)
| | - Jing Qin
- School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)
| | - Philip Kwok-Yuen Leung
- Mr. Kwok Hing Kwan Neighbour Elderly Centre, Pok Oi Hospital, Hong Kong, China (Hong Kong)
| | - Olive Suk Kan Sin
- Mr. Kwok Hing Kwan Neighbour Elderly Centre, Pok Oi Hospital, Hong Kong, China (Hong Kong)
| | - Pik Yuen Hon
- Mr. Kwok Hing Kwan Neighbour Elderly Centre, Pok Oi Hospital, Hong Kong, China (Hong Kong)
| | - Lydia W Suen
- Centre for Gerontological Nursing, School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)
| | - Man-Kei Tse
- Centre for Gerontological Nursing, School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)
| | - Claudia Ky Lai
- Centre for Gerontological Nursing, School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)
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22
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Mantovani E, Zucchella C, Schena F, Romanelli MG, Venturelli M, Tamburin S. Towards a Redefinition of Cognitive Frailty. J Alzheimers Dis 2021; 76:831-843. [PMID: 32568197 PMCID: PMC7504985 DOI: 10.3233/jad-200137] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Background: The progressive aging of the population will dramatically increase the burden of dementia related to Alzheimer’s disease (AD) and other neurodegenerative disorders in the future. Because of the absence of drugs that can modify the neuropathological substrate of AD, research is focusing on the application of preemptive and disease-modifying strategies in the pre-symptomatic period of the disease. In this perspective, the identification of people with cognitive frailty (CF), i.e., those individuals with higher risk of developing dementia, on solid pathophysiological bases and with clear operational clinical criteria is of paramount importance. Objective/Methods: This hypothesis paper reviews the current definitions of CF, presents and discusses some of their limitations, and proposes a framework for updating and improving the conceptual and operational definition of the CF construct. Results: The potential for reversibility of CF should be supported by the assessment of amyloid, tau, and neuronal damage biomarkers, especially in younger patients. Physical and cognitive components of frailty should be considered as separate entities, instead of part of a single macro-phenotype. CF should not be limited to the geriatric population, because trajectories of amyloid accumulation are supposed to start earlier than 65 years in AD. Operational criteria are needed to standardize assessment of CF. Conclusion: Based on the limitations of current CF definitions, we propose a revised one according to a multidimensional subtyping. This new definition might help stratifying CF patients for future trials to explore new lifestyle interventions or disease-modifying pharmacological strategies for AD and dementia.
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Affiliation(s)
- Elisa Mantovani
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Chiara Zucchella
- Section of Neurology, Department of Neurosciences, Verona University Hospital, Verona, Italy
| | - Federico Schena
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Maria Grazia Romanelli
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Massimo Venturelli
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.,Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Stefano Tamburin
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.,Section of Neurology, Department of Neurosciences, Verona University Hospital, Verona, Italy
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23
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Robinson TL, Gogniat MA, Miller LS. Frailty and Cognitive Function in Older Adults: A Systematic Review and Meta-Analysis of Cross-Sectional Studies. Neuropsychol Rev 2021; 32:274-293. [PMID: 33886024 DOI: 10.1007/s11065-021-09497-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 03/03/2021] [Indexed: 10/21/2022]
Abstract
The relationship between cognitive function and frailty among older adults is a growing area of research due to the implications of cognitive and physical decline for functional independence in late life. Multiple studies demonstrate a meaningful relationship between these two factors, which together may constitute increased risk of negative health outcomes for older adults. The current analysis was conducted to 1) systematically review current evidence for differences in cognitive performance based on frailty status among older adults and provide quantitative evidence for the magnitude of this effect, and 2) assess the influence of demographic and methodological variables on this effect. The preregistered protocol (CRD42018087138) included a search of EBSCOhost, Pubmed, and Embase online databases and reference lists to identify cross-sectional studies comparing frail and non-frail or robust older adults (60+) on cognitive performance. In total, 42 effects were retrieved from 38 studies, expressed as Hedges' g, and pooled based on a random-effects model. Results indicated an overall significant, negative effect of frailty status on cognitive function among tests of global cognitive function (g = 0.734: 95% CI = 0.601-0.867) and individual cognitive domains (g = 0.439: 95% CI = 0.342-0.535). Age, frailty assessment used, and cognitive status of the sample did not significantly moderate the overall effect. Post-hoc moderator analysis revealed that difference in mean age of frail and robust groups significantly moderated the overall effect (R2 = 0.38, β = .0974, 95% CI = 0.0537-0.141). Implications for future research are discussed.
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24
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Zhang XM, Jiao J, Zhu C, Guo N, Liu Y, Lv D, Wang H, Jin J, Wen X, Zhao S, Wu XJ, Xu T. Cognitive Frailty and 30-Day Mortality in a National Cohort of Older Chinese Inpatients. Clin Interv Aging 2021; 16:389-401. [PMID: 33692618 PMCID: PMC7939486 DOI: 10.2147/cia.s294106] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 02/09/2021] [Indexed: 12/14/2022] Open
Abstract
Purpose Studies exploring the association of cognitive frailty and mortality have been mainly based on community settings or nursing home settings. The aim of our study was to explore the association between cognitive frailty and 30-day mortality among older Chinese inpatients. Patients and Methods A national cohort study was performed in different hospitals in China. A baseline survey was conducted from October 2018 and February 2019. Trained investigators collected the 30-day mortality. Cognitive impairment and frailty were defined by the Mini-Cog and FRAIL scale, respectively. Multivariate regression was used to explore the association between cognitive impairment and frailty status with 30-day mortality. Results Of these participants, there were 3891 (41.91%) women and 5392 (58.09%) men, with an average age of 72.41 (SD=5.72). The prevalence of cognitive frailty was 5.44%. After adjusting for age, gender, education, depression and activities of daily living (ADL), the odds ratios (ORs) for 30-day mortality among inpatients were 3.43 (95% CI: 1.80-6.55) for cognitive frailty, 1.85 (95% CI: 1.01-3.41) for frailty only, and 1.43 (95% CI: 0.77-2.65) for cognitive impairment only compared to the reference group (neither frailty nor cognitive impairment). In addition, the discrimination of 30-day mortality was higher among patients with cognitive frailty (area under the curve =0.676 [95% CI: 0.621-0.731]) than either frailty (area under the curve =0.644 [95% CI: 0.594-0.694]) or cognitive impairment (area under the curve = 0.606 [95% CI: 0.556-0.655]) separately. Stratified analysis showed that these associations still existed when grouped by gender. Conclusion Our study found that Chinese inpatients with cognitive frailty had a higher risk of 30-day mortality than those without frailty and cognitive impairment, suggesting that clinicians should be encouraged to perform early screening of patients with frailty and cognitive impairment and carry out effective interventions to reverse cognitive frailty syndrome.
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Affiliation(s)
- Xiao-Ming Zhang
- Department of Nursing, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital (Dongdan Campus), Beijing, 100730, People's Republic of China
| | - Jing Jiao
- Department of Nursing, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital (Dongdan Campus), Beijing, 100730, People's Republic of China
| | - Chen Zhu
- Department of Nursing, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital (Dongdan Campus), Beijing, 100730, People's Republic of China
| | - Na Guo
- Department of Nursing, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital (Dongdan Campus), Beijing, 100730, People's Republic of China
| | - Ying Liu
- Department of Nursing, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital (Dongdan Campus), Beijing, 100730, People's Republic of China
| | - Dongmei Lv
- Department of Nursing, The Second Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China
| | - Hui Wang
- Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Jingfen Jin
- Department of Nursing, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, People's Republic of China
| | - Xianxiu Wen
- Department of Nursing, Sichuan Provincial People's Hospital, Chengdu, People's Republic of China
| | - Shengxiu Zhao
- Department of Nursing, Qinghai Provincial People's Hospital, Xining, People's Republic of China
| | - Xin-Juan Wu
- Department of Nursing, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital (Dongdan Campus), Beijing, 100730, People's Republic of China
| | - Tao Xu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, 100005, People's Republic of China
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25
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Kim GM, Kim BK, Kim DR, Liao Y, Park JH, Park H. An Association between Lower Extremity Function and Cognitive Frailty: A Sample Population from the KFACS Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18031007. [PMID: 33498760 PMCID: PMC7908491 DOI: 10.3390/ijerph18031007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 12/28/2020] [Accepted: 01/19/2021] [Indexed: 11/29/2022]
Abstract
The present study aimed to define the physical function and lipid profile for physical and cognitive frailty in community-dwelling Korean older adults. A total of 229 participants (age = 76.76 ± 3.72 years; body mass index = 24.83 ± 3.15) were classified into four groups: robust, pre-frailty, cognitive decline, and cognitive frailty. An analysis on the four groups was performed to measure their physical and cognitive function, as well as blood biomarkers. The area under (AUC) the receiver operating characteristic curve (ROC) indicated that the 6-min Walk Test (6MWT), Timed Up and Go test (TUG), and Five Times Sit-to-Stand test (FTSS) had the potential to distinguish the capacity of an old adult to predict cognitive frailty. The 6MWT had a higher sensitivity and the TUG and FTSS tests had greater specificity. With cognitive frailty as a categorical variable, cognitive frailty status was a significant predictor of the TUG (odds ratio (OR) 2.897; 95% confidence interval (CI), 1.283–6.541), FTSS (OR 3.337; 95% CI 1.451–7.673), and 6MWT (OR 0.204; 95% CI 0.070–0.591) tests. Our findings indicate that the 6MWT, TUG, and FTSS tests are closely related to cognitive frailty and can provide potential prognostic cutoff points.
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Affiliation(s)
- Gwon-Min Kim
- Health Convergence Medicine Laboratory, Biomedical Research Institute, Pusan National University Hospital, Busan 49241, Korea; (G.-M.K.); (D.-R.K.)
| | - Bo-Kun Kim
- Faculty of Sports Health Care, In-je University, Gimhae 50834, Korea;
| | - Du-Ri Kim
- Health Convergence Medicine Laboratory, Biomedical Research Institute, Pusan National University Hospital, Busan 49241, Korea; (G.-M.K.); (D.-R.K.)
- Department of Occupational Therapy, Graduate School of Inje University, Gimhae 50834, Korea
| | - Yung Liao
- Department of Health Promotion and Health Education, National Taiwan Normal University, Taipei 106, Taiwan;
| | - Jong-Hwan Park
- Health Convergence Medicine Laboratory, Biomedical Research Institute, Pusan National University Hospital, Busan 49241, Korea; (G.-M.K.); (D.-R.K.)
- Correspondence: (J.-H.P.); (H.P.); Tel.: +82-51-240-7071 (J.-H.P.); +82-51-200-7979 (H.P.)
| | - Hyuntae Park
- Department of Health Sciences, Graduate School, Dong-A University, Busan 49315, Korea
- Correspondence: (J.-H.P.); (H.P.); Tel.: +82-51-240-7071 (J.-H.P.); +82-51-200-7979 (H.P.)
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26
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Wan M, Ye Y, Lin H, Xu Y, Liang S, Xia R, He J, Qiu P, Huang C, Tao J, Chen L, Zheng G. Deviations in Hippocampal Subregion in Older Adults With Cognitive Frailty. Front Aging Neurosci 2021; 12:615852. [PMID: 33519422 PMCID: PMC7838368 DOI: 10.3389/fnagi.2020.615852] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Accepted: 12/15/2020] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Cognitive frailty is a particular state of cognitive vulnerability toward dementia with neuropathological hallmarks. The hippocampus is a complex, heterogeneous structure closely relates to the cognitive impairment in elderly which is composed of 12 subregions. Atrophy of these subregions has been implicated in a variety of neurodegenerative diseases. The aim of this study was to explore the changes in hippocampal subregions in older adults with cognitive frailty and the relationship between subregions and cognitive impairment as well as physical frailty. METHODS Twenty-six older adults with cognitive frailty and 26 matched healthy controls were included in this study. Cognitive function was evaluated by the Montreal Cognitive Assessment (MoCA) scale (Fuzhou version) and Wechsler Memory Scale-Revised Chinese version (WMS-RC), while physical frailty was tested with the Chinese version of the Edmonton Frailty Scale (EFS) and grip strength. The volume of the hippocampal subregions was measured with structural brain magnetic resonance imaging. Partial correlation analysis was carried out between the volumes of hippocampal subregions and MoCA scores, Wechsler's Memory Quotient and physical frailty indexes. RESULTS A significant volume decrease was found in six hippocampal subregions, including the bilateral presubiculum, the left parasubiculum, molecular layer of the hippocampus proper (molecular layer of the HP), and hippocampal amygdala transition area (HATA), and the right cornu ammonis subfield 1 (CA1) area, in older adults with cognitive frailty, while the proportion of brain parenchyma and total number of white matter fibers were lower than those in the healthy controls. Positive correlations were found between Wechsler's Memory Quotient and the size of the left molecular layer of the HP and HATA and the right presubiculum. The sizes of the left presubiculum, molecular of the layer HP, and HATA and right CA1 and presubiculum were found to be positively correlated with MoCA score. The sizes of the left parasubiculum, molecular layer of the HP and HATA were found to be negatively correlated with the physical frailty index. CONCLUSION Significant volume decrease occurs in hippocampal subregions of older adults with cognitive frailty, and these changes are correlated with cognitive impairment and physical frailty. Therefore, the atrophy of hippocampal subregions could participate in the pathological progression of cognitive frailty.
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Affiliation(s)
- Mingyue Wan
- College of Nursing and Health Management, Shanghai University of Medicine and Health Sciences, Shanghai, China
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Yu Ye
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Huiying Lin
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Ying Xu
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Shengxiang Liang
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Rui Xia
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Jianquan He
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Pingting Qiu
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Chengwu Huang
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Jing Tao
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Lidian Chen
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Guohua Zheng
- College of Nursing and Health Management, Shanghai University of Medicine and Health Sciences, Shanghai, China
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Xie B, Ma C, Chen Y, Wang J. Prevalence and risk factors of the co-occurrence of physical frailty and cognitive impairment in Chinese community-dwelling older adults. HEALTH & SOCIAL CARE IN THE COMMUNITY 2021; 29:294-303. [PMID: 32657490 DOI: 10.1111/hsc.13092] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 06/03/2020] [Accepted: 06/16/2020] [Indexed: 06/11/2023]
Abstract
This cross-sectional study aimed to determine the prevalence of the co-occurrence of physical frailty and cognitive impairment and to identify its associated demographic, psychosocial and behavioural factors. Participants were recruited from 32 neighbourhoods using multistage sampling method in Xuhui District, Shanghai, China. A total of 1585 older adults were included who lived in community, were 75 years or older and without a clinical diagnosis of dementia. Based on the presences of frailty (using the modified frailty phenotype criteria) and/or cognitive impairment (using Chinese version Mini-Mental Status Examination stratified by educational level), the participants were classified into four groups: normal, cognitive impairment alone, frailty alone and co-occurrence. Multinomial logistic regression analyses were conducted to identify the demographic, psychosocial (depression, social participation and social support) and behavioural (sedentary lifestyle and sleep problems) characteristics associated with the co-occurrence of physical frailty and cognitive impairment. The prevalence of frailty alone, cognitive impairment alone and the co-occurrence of physical frailty and cognitive impairment in the study sample were 7%, 26.94% and 7.19% respectively. The results of multinomial logistic regression show the following characteristics significantly associated with the co-occurrence of physical frailty and cognitive impairment: advanced age (81-85 years old, Odds Ratio, OR = 1.99, 95% CI = 1.10-3.59; 86 years or older, OR = 6.43, 95% CI = 3.66-11.29), number of co-morbidities (OR = 1.34, 95% CI = 1.01-1.77), depression (OR = 3.88, 95% CI = 2.39-6.29), social participation (OR = 0.61, 95% CI = 0.39-0.96), sedentary lifestyle (OR = 2.69, 95% CI = 1.66-4.34) and sleep problems (insomnia occasionally, OR = 1.84, 95% CI = 1.07-3.17; insomnia every day, OR = 2.38, 95% CI = 1.33-4.26). The co-occurrence of physical frailty and cognitive impairment is a prevalent health issue in oldest old community-dwelling older adults. Advanced age, co-morbidity, depression, sedentary lifestyle and sleep problems are risk factors for cognitive frailty while good social participation may have a protective effect on it.
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Affiliation(s)
- Boqin Xie
- Fudan University School of Nursing, Shanghai, China
| | - Chenjuan Ma
- New York University Rory Meyers College of Nursing, New York, NY, USA
| | - Yu Chen
- Fudan University School of Nursing, Shanghai, China
| | - Junqiao Wang
- Fudan University School of Nursing, Shanghai, China
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28
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Navarro-Pardo E, Facal D, Campos-Magdaleno M, Pereiro AX, Juncos-Rabadán O. Prevalence of Cognitive Frailty, Do Psychosocial-Related Factors Matter? Brain Sci 2020; 10:brainsci10120968. [PMID: 33322251 PMCID: PMC7763872 DOI: 10.3390/brainsci10120968] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 12/07/2020] [Accepted: 12/09/2020] [Indexed: 01/12/2023] Open
Abstract
Cognitive frailty (CF) is a topic of growing interest with implications for the study of preventive interventions in aging. Nevertheless, little research has been done to assess the influence of psychosocial variables on the risk of CF. Our objectives were to estimate the prevalence of CF in a Spanish sample and to explore the influence of psychosocial variables in this prevalence. Physical frailty and cognitive, functional, psychosocial, and socio-demographic aspects were assessed in a sample of 285 participants over 60 years. Univariate and multivariate logistic regression models were carried out. A prevalence of 21.8% (95% CI 17.4-26.9) was established when both frail and pre-frail conditions were included, and a prevalence of 3.2% (95% CI 1.7-5.9) if only frail individuals were considered. Age, educational level, profession and psychological well-being variables significantly predicted CF. Frailty and pre-frailty are high-prevalence health conditions in older adults influenced by socio-demographic, socio-educative and affective factors.
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Affiliation(s)
- Esperanza Navarro-Pardo
- Department of Developmental and Educational Psychology, Universitat de Valencia, 46010 Valencia, Spain;
| | - David Facal
- Department of Developmental Psychology, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain; (M.C.-M.); (A.X.P.); (O.J.-R.)
- Correspondence:
| | - María Campos-Magdaleno
- Department of Developmental Psychology, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain; (M.C.-M.); (A.X.P.); (O.J.-R.)
| | - Arturo X. Pereiro
- Department of Developmental Psychology, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain; (M.C.-M.); (A.X.P.); (O.J.-R.)
| | - Onésimo Juncos-Rabadán
- Department of Developmental Psychology, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain; (M.C.-M.); (A.X.P.); (O.J.-R.)
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29
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Adja KYC, Lenzi J, Sezgin D, O'Caoimh R, Morini M, Damiani G, Buja A, Fantini MP. The Importance of Taking a Patient-Centered, Community-Based Approach to Preventing and Managing Frailty: A Public Health Perspective. Front Public Health 2020; 8:599170. [PMID: 33282818 PMCID: PMC7689262 DOI: 10.3389/fpubh.2020.599170] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 10/12/2020] [Indexed: 12/14/2022] Open
Abstract
Across the world, life expectancy is increasing. However, the years of life gained do not always correspond to healthy life years, potentially leading to an increase in frailty. Given the extent of population aging, the association between frailty and age and the impact of frailty on adverse outcomes for older people, frailty is increasingly being recognized to be a significant public health concern. Early identification of the condition is important to help older adults regain function and to prevent the negative outcomes associated with the syndrome. Despite the importance of diagnosing frailty, there is no definitive evidence or consensus of whether screening should be routinely implemented. A broad range of screening and assessment instruments have been developed taking a biopsychosocial approach, characterizing frailty as a dynamic state resulting from deficits in any of the physical, psychological and social domains, which contribute to health. All these aspects of frailty should be identified and addressed using an integrated and holistic approach to care. To achieve this goal, public health and primary health care (PHC) need to become the fulcrum through which care is offered, not only to older people and those that are frail, but to all individuals, favoring a life-course and patient-centered approach centered around integrated, community-based care. Public health personnel should be trained to address frailty not merely from a clinical perspective, but also in a societal context. Interventions should be delivered in the individuals' environment and within their social networks. Furthermore, public health professionals should contribute to education and training on frailty at a community level, fostering community-based interventions to support older adults and their caregivers to prevent and manage frailty. The purpose of this paper is to offer an overview of the concept of frailty for a public health audience in order to raise awareness of the multidimensional aspects of frailty and on how these should be addressed using an integrated and holistic approach to care.
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Affiliation(s)
| | - Jacopo Lenzi
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Duygu Sezgin
- School of Nursing and Midwifery, College of Medicine Nursing & Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Rónán O'Caoimh
- Mercy University Hospital, Grenville Place, Cork, Ireland.,Clinical Research Facility Cork, University College Cork, Cork, Ireland
| | - Mara Morini
- Italian Scientific Society of Hygiene and Preventive Medicine - Primary Care Group, Bologna, Italy
| | - Gianfranco Damiani
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.,Università Cattolica del Sacro Cuore, Rome, Italy
| | - Alessandra Buja
- Laboratory of Health Care Services and Health Promotion, Evaluation Unit of Hygiene and Public Health Department of Cardiac Thoracic Vascular Sciences and Public Health, University of Padova, Padua, Italy
| | - Maria Pia Fantini
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
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He W, Luo Y, Liu JP, Sun N, Guo D, Cui LL, Zheng PP, Yao SM, Yang JF, Wang H. Trimethylamine N-Oxide, a Gut Microbiota-Dependent Metabolite, is Associated with Frailty in Older Adults with Cardiovascular Disease. Clin Interv Aging 2020; 15:1809-1820. [PMID: 33061331 PMCID: PMC7534046 DOI: 10.2147/cia.s270887] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 09/01/2020] [Indexed: 12/21/2022] Open
Abstract
Objective Our study aimed to explore the association between trimethylamine N-oxide and frailty in older adults with cardiovascular disease. Patients and Methods This cross-sectional study analyzed a total of 451 people aged 65 years or older who underwent comprehensive geriatric assessments. Frailty status was determined using a frailty index constructed with 48 variables according to the cumulative deficits model. Physical frailty and cognitive frailty were also assessed in detail. Fasting plasma TMAO was measured by mass spectrometry. Results The proportion of frail subjects was 29.9% (135/451). Plasma TMAO levels were significantly higher in frail patients than in nonfrail individuals (4.04 [2.84–7.01] vs 3.21 [2.13–5.03] µM; p<0.001). Elevated plasma TMAO levels were independently associated with the likelihood of frailty (OR 2.12, 95% CI 1.01–4.38, p=0.046). Dose–response analysis revealed a linear association between the TMAO concentration and the OR for frailty. A 2-unit increase in TMAO was independently correlated with physical frailty (OR 1.23, 95% CI 1.08–1.41, p for trend 0.002) and cognitive frailty (OR 1.21, 95% CI 1.01–1.45, p for trend 0.04). Conclusion Elevated circulating TMAO levels are independently associated with frailty among older adults with cardiovascular disease.
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Affiliation(s)
- Wei He
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.,Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, People's Republic of China
| | - Yao Luo
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China
| | - Jun-Peng Liu
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China
| | - Ning Sun
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China
| | - Di Guo
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China
| | - Ling-Ling Cui
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China
| | - Pei-Pei Zheng
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China
| | - Si-Min Yao
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China
| | - Jie-Fu Yang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.,Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, People's Republic of China
| | - Hua Wang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.,Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, People's Republic of China
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Shinohara T, Saida K, Tanaka S, Murayama A. Do lifestyle measures to counter COVID-19 affect frailty rates in elderly community dwelling? Protocol for cross-sectional and cohort study. BMJ Open 2020; 10:e040341. [PMID: 33051236 PMCID: PMC7554407 DOI: 10.1136/bmjopen-2020-040341] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 07/07/2020] [Accepted: 09/30/2020] [Indexed: 01/07/2023] Open
Abstract
INTRODUCTION Local activities that functioned to prevent frailty in the elderly have been suspended or reduced as a countermeasure against COVID-19. As a result, frailty rates are expected to increase, and frailty is expected to worsen as a secondary problem associated with COVID-19 countermeasures. Therefore, this study aims to determine the extent of frailty in the elderly associated with lifestyle changes implemented as COVID-19 countermeasures, to ascertain actual lifestyle changes and clarify the existence of Corona-Frailty. We will also conduct Corona-Frailty screening to verify the effect of support provided as feedback to supporters of the elderly. METHODS AND ANALYSIS The survey target area is Takasaki City, Gunma Prefecture, Japan. Phase I aims to verify the short-term effects of COVID-19. A questionnaire will be distributed to 465 community-dwelling elderly people, and responses will be obtained by post. Frailty will be evaluated using the Frailty Screening Index. Respondents who are frail and have had many changes in their lifestyle will be screened as high-risk people, and feedback will be provided to local supporters. The aim of Phase II will be to verify the long-term effects of COVID-19 and the effect of screening. A similar survey will be distributed twice after the first survey, once after 6 months and again after 1 year and the frailty rate will be tested. Furthermore, out of the subjects identified with frailty in Phase I, the progress of those who were screened and those who were not screened will be compared between groups. ETHICS AND DISSEMINATION This study has been approved by the Research Ethics Committee of the Takasaki University of Health and Welfare (approval number: 2009). The results of this study will be reported to the policymaker, presented at academic conferences and published in peer-reviewed journals. TRIAL REGISTRATION NUMBER UMIN000040335.
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Affiliation(s)
- Tomoyuki Shinohara
- Department of Physical Therapy, Faculty of Health Care, Takasaki University of Health and Welfare, Takasaki, Gunma, Japan
| | - Kosuke Saida
- Department of Physical Therapy, Faculty of Health Care, Takasaki University of Health and Welfare, Takasaki, Gunma, Japan
| | - Shigeya Tanaka
- Department of Physical Therapy, Faculty of Health Care, Takasaki University of Health and Welfare, Takasaki, Gunma, Japan
| | - Akihiko Murayama
- Department of Physical Therapy, Faculty of Rehabilitation, Gunma University of Health and Welfare, Maebashi, Gunma, Japan
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Zhào H, Wei W, Liu Y, Gao J, Huang Y. Cognitive Frailty Among Elderly Chinese Patients With Cerebral Small Vessel Disease: A Structural MRI Study. Front Med (Lausanne) 2020; 7:397. [PMID: 33015078 PMCID: PMC7498568 DOI: 10.3389/fmed.2020.00397] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 06/24/2020] [Indexed: 11/13/2022] Open
Abstract
Cognitive frailty (CF) is gaining an increasing amount of attention in geriatric research. CF refers to the co-occurrence of physical frailty and cognitive impairment in people without dementia. Neuroimaging of elderly people has revealed the presence of numerous white matter lesions, which is a typical biomarker of cerebral small vessel disease (SVD) on magnetic resonance images. The aim of the present study was to estimate the prevalence of CF in elderly Chinese patients with SVD. One hundred and thirty elderly patients with SVD were recruited for this cross-sectional observational study. Participants who met three to five of the Fried criteria of the physical frailty (PF) phenotype (shrinking, weakness, slowness, self-reported exhaustion, or low physical activity) were classified as having PF. Then, individuals with PF were defined as having CF if mild cognitive impairment was discovered by the Mini-Mental State Examination. Lastly, a series of cognitive function tests and the dual-task walking paradigm were examined. Based on the CF diagnostic criteria, the frequency of CF was 23.08% among elderly Chinese patients with SVD. Furthermore, CF-positive patients had a more significant SVD burden, based on magnetic resonance imaging findings. Logistic regression analysis, which was adjusted for age, sex, education, and comorbidities, showed that CF was negatively correlated with the dual-task walking speed in elderly people with SVD. Thus, SVD burden might be an indicator of CF phenotype. In elderly patients with SVD, CF was associated with dual task walking performance.
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Affiliation(s)
- Hóngyi Zhào
- Department of Neurology, Chinese PLA General Hospital, Beijing, China.,Department of Neurology, Number 984 Hospital of the PLA, Beijing, China
| | - Wei Wei
- Department of Neurology, Chinese PLA General Hospital, Beijing, China
| | - Yu Liu
- Department of Neurology, Number 984 Hospital of the PLA, Beijing, China
| | - Jiajia Gao
- Department of Neurology, Chinese PLA General Hospital, Beijing, China
| | - Yonghua Huang
- Department of Neurology, Chinese PLA General Hospital, Beijing, China
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Wongtrakulruang P, Muangpaisan W, Panpradup B, Tawatwattananun A, Siribamrungwong M, Tomongkon S. The prevalence of cognitive frailty and pre-frailty among older people in Bangkok metropolitan area: a multicenter study of hospital-based outpatient clinics. J Frailty Sarcopenia Falls 2020; 5:62-71. [PMID: 32885103 PMCID: PMC7461353 DOI: 10.22540/jfsf-05-062] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/22/2020] [Indexed: 12/31/2022] Open
Abstract
Objectives: To identify the prevalence of, and factors associated with, cognitive frailty and prefrailty, and to investigate correlation between frailty tools. Methods: One hundred and ninety five older adults were recruited from the medical outpatient clinics of 3 tertiary hospitals in Bangkok metropolitan region. The data collected were demographic information, lifestyle factors, functional status, mood assessment, and cognitive and frailty assessments. The frailty tools used were Frailty Phenotype and FRAIL scale. Results: The prevalence of pre-frailty, frailty, mild cognitive impairment (MCI), cognitive pre-frailty and cognitive frailty was 57.4%, 15.9%, 26.2%, 14.4% and 6.7%, respectively. A multivariate analysis showed that age ≥70 years (OR 5.34; 95% CI 2.06-12.63), and education at primary school or under (OR 4.18; 95% CI 1.61-10.82) were associated with cognitive frailty and cognitive pre-frailty. The correlation between physical frailty rated by the Modified Fried Frailty Phenotype and the FRAIL scale was good (Kappa coefficient = 0.741). Conclusions: The prevalence of cognitive frailty is not uncommon which requires screening and interventions. Age and a low educational level were related to cognitive frailty/prefrailty. The FRAIL scale yielded a high correlation with Frailty phenotypes, implying its benefit in routine clinical use in primary care practice, where there is limited time and resources.
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Affiliation(s)
- Panuwat Wongtrakulruang
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Weerasak Muangpaisan
- Department of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | | | | | | | - Sasinapha Tomongkon
- Department of Internal Medicine, Krathum Baen Hospital, Samut Sakhon, Thailand
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Qiao H, Chen M, Li S, Li Y, Sun Y, Wu Y. Poor lung function accelerates cognitive decline in middle-aged and older adults: Evidence from the English Longitudinal Study of Ageing. Arch Gerontol Geriatr 2020; 90:104129. [DOI: 10.1016/j.archger.2020.104129] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 05/22/2020] [Accepted: 05/23/2020] [Indexed: 12/22/2022]
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35
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Kwan RY, Lee D, Lee PH, Tse M, Cheung DS, Thiamwong L, Choi KS. Effects of an mHealth Brisk Walking Intervention on Increasing Physical Activity in Older People With Cognitive Frailty: Pilot Randomized Controlled Trial. JMIR Mhealth Uhealth 2020; 8:e16596. [PMID: 32735218 PMCID: PMC7428907 DOI: 10.2196/16596] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 05/12/2020] [Accepted: 06/14/2020] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Cognitive frailty is the coexistence of physical frailty and cognitive impairment and is an at-risk state for many adverse health outcomes. Moderate-to-vigorous physical activity (MVPA) is protective against the progression of cognitive frailty. Physical inactivity is common in older people, and brisk walking is a feasible form of physical activity that can enhance their MVPA. Mobile health (mHealth) employing persuasive technology has been successful in increasing the levels of physical activity in older people. However, its feasibility and effects on older people with cognitive frailty are unclear. OBJECTIVE We aimed to identify the issues related to the feasibility of an mHealth intervention and the trial (ie, recruitment, retention, participation, and compliance) and to examine the effects of the intervention on cognitive function, physical frailty, walking time, and MVPA. METHODS An open-label, parallel design, randomized controlled trial (RCT) was employed. The eligibility criteria for the participants were age ≥60 years, having cognitive frailty, and having physical inactivity. In the intervention group, participants received both conventional behavior change intervention and mHealth (ie, smartphone-assisted program using Samsung Health and WhatsApp) interventions. In the control group, participants received conventional behavior change intervention only. The outcomes included cognitive function, frailty, walking time, and MVPA. Permuted block randomization in 1:1 ratio was used. The feasibility issue was described in terms of participant recruitment, retention, participation, and compliance. Wilcoxon signed-rank test was used to test the within-group effects in both groups separately. RESULTS We recruited 99 participants; 33 eligible participants were randomized into either the intervention group (n=16) or the control (n=17) group. The median age was 71.0 years (IQR 9.0) and the majority of them were females (28/33, 85%). The recruitment rate was 33% (33/99), the participant retention rate was 91% (30/33), and the attendance rate of all the face-to-face sessions was 100% (33/33). The majority of the smartphone messages were read by the participants within 30 minutes (91/216, 42.1%). ActiGraph (58/66 days, 88%) and smartphone (54/56 days, 97%) wearing compliances were good. After the interventions, cognitive function improvement was significant in both the intervention (P=.003) and the control (P=.009) groups. The increase in frailty reduction (P=.005), walking time (P=.03), step count (P=.02), brisk walking time (P=.009), peak cadence (P=.003), and MVPA time (P=.02) were significant only in the intervention group. CONCLUSIONS Our mHealth intervention is feasible for implementation in older people with cognitive impairment and is effective at enhancing compliance with the brisk walking training program delivered by the conventional behavior change interventions. We provide preliminary evidence that this mHealth intervention can increase MVPA time to an extent sufficient to yield clinical benefits (ie, reduction in cognitive frailty). A full-powered and assessor-blinded RCT should be employed in the future to warrant these effects. TRIAL REGISTRATION HKU Clinical Trials Registry HKUCTR-2283; http://www.hkuctr.com/Study/Show/31df4708944944bd99e730d839db4756.
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Affiliation(s)
- Rick Yc Kwan
- Centre for Gerontological Nursing, School of Nursing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong (China)
| | - Deborah Lee
- Centre for Gerontological Nursing, School of Nursing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong (China)
| | - Paul H Lee
- School of Nursing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong (China)
| | - Mimi Tse
- Centre for Gerontological Nursing, School of Nursing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong (China)
| | - Daphne Sk Cheung
- Centre for Gerontological Nursing, School of Nursing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong (China)
| | - Ladda Thiamwong
- College of Nursing, University of Central Florida, Orlando, FL, United States
| | - Kup-Sze Choi
- School of Nursing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong (China)
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36
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Physical Frailty and Fall Risk in Community-Dwelling Older Adults: A Cross-Sectional Study. J Aging Res 2020; 2020:3964973. [PMID: 32714612 PMCID: PMC7355345 DOI: 10.1155/2020/3964973] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 03/25/2020] [Accepted: 04/13/2020] [Indexed: 01/10/2023] Open
Abstract
Introduction Frailty is a condition in older adults with decreased physical and cognitive performance that can affect health outcomes associated with fracture, disability, and falls. The aim of this study was to compare fall risk with different physical frailty statuses and investigate factors associated with fall risk in community-dwelling older adults. Methods The population studied included 367 older adults (mean age = 73.2 years ± 7.0; 237 females (64.6%) and 130 males (35.4%)) who live in Chiang Mai, Thailand. This study was of cross-sectional design. Fried's phenotype was used to screen the physical frailty status. The physiological profile assessment (PPA) was used to screen for fall risk. One-way ANOVA analysis was used to compare the fall risk between the different levels of frailty status. Linear regression analysis was used to assess the association between frailty status and fall risk. Results The prevalence of the frailty group was 8.7% and that of the prefrailty group was 76.8%. The three statuses of frailty identified were found to have different levels of risk of falling. The frailty group had a higher fall risk than the nonfrailty group and the prefrailty group. In addition, the nonfrailty group had a lower fall risk than the prefrailty group. Conclusion The frailty group had the highest fall risk in this cohort of older adults living in a community-dwelling facility. Therefore, it is important to assess the frailty status among older adults as it can be a predictor for fall risk. This assessment will therefore lead to a reduction in the rate of disability and death in the community.
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Sugimoto T, Ono R, Kimura A, Saji N, Niida S, Sakai T, Rakugi H, Toba K, Sakurai T. Impact of Cognitive Frailty on Activities of Daily Living, Cognitive Function, and Conversion to Dementia Among Memory Clinic Patients with Mild Cognitive Impairment. J Alzheimers Dis 2020; 76:895-903. [PMID: 32568192 DOI: 10.3233/jad-191135] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Very few studies have investigated the impact of cognitive frailty in clinical settings, especially in memory clinic populations. OBJECTIVE To examine the impact of cognitive frailty on activities of daily living (ADL), cognitive function, and conversion to dementia among memory clinic patients with mild cognitive impairment (MCI). METHODS The subjects of this retrospective study were 248 MCI patients (mean age, 76.3±5.4 years; females, 60.9%). All subjects completed a comprehensive geriatric assessment at baseline and at least one assessment during 3-year follow-up. Frailty was defined by generating a frailty index (FI), and MCI patients with frailty (FI≥0.25) were considered to represent cognitive frailty. As primary outcomes, the Barthel Index, Mini-Mental State Examination, and incident dementia were evaluated during follow-up. At baseline, patients were assessed for apolipoprotein E (APOE) phenotype. A linear mixed model, as well as a Cox proportional hazards regression model with adjustment for confounding variables, was performed. RESULTS Of these patients, 75 (30.2%) were classified as cognitive frail. APOEɛ4 carriers accounted for 26.7% of those with cognitive frailty and 44.5% of those without (p = 0.008). Cognitive frail patients showed a faster ADL decline (estimate, -1.04; standard error, 0.38; p = 0.007) than patients without cognitive frailty. Cognitive frailty was not associated with cognitive decline and incident dementia. CONCLUSION Our findings demonstrated cognitive frailty increases the risk of dependence but not cognitive outcomes. Cognitive frailty may have heterogeneous conditions, including APOEɛ4-related pathologies, which may affect the cognitive trajectories of patients with MCI.
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Affiliation(s)
- Taiki Sugimoto
- Center for Comprehensive Care and Research on Memory Disorders, National Center for Geriatrics and Gerontology, Obu, Japan.,Medical Genome Center, National Center for Geriatrics and Gerontology, Obu, Japan.,Department of Public Health, Kobe University Graduate School of Health Sciences, Kobe, Japan
| | - Rei Ono
- Department of Public Health, Kobe University Graduate School of Health Sciences, Kobe, Japan
| | - Ai Kimura
- Center for Comprehensive Care and Research on Memory Disorders, National Center for Geriatrics and Gerontology, Obu, Japan.,Medical Genome Center, National Center for Geriatrics and Gerontology, Obu, Japan.,Department of Cognition and Behavior Science, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Naoki Saji
- Center for Comprehensive Care and Research on Memory Disorders, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Shumpei Niida
- Medical Genome Center, National Center for Geriatrics and Gerontology, Obu, Japan
| | | | - Hiromi Rakugi
- Department of Geriatric and General Medicine, Osaka University Graduate School of Medicine, Suita, Japan
| | - Kenji Toba
- Center for Comprehensive Care and Research on Memory Disorders, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Takashi Sakurai
- Center for Comprehensive Care and Research on Memory Disorders, National Center for Geriatrics and Gerontology, Obu, Japan.,Department of Cognition and Behavior Science, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Wanaratna K, Muangpaisan W, Kuptniratsaikul V, Chalermsri C, Nuttamonwarakul A. Prevalence and Factors Associated with Frailty and Cognitive Frailty Among Community-Dwelling Elderly with Knee Osteoarthritis. J Community Health 2020; 44:587-595. [PMID: 30604223 DOI: 10.1007/s10900-018-00614-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Physical frailty and cognitive impairment are risk factors for adverse outcomes in older people with osteoarthritis of the knee (knee OA). This cross-sectional study was conducted to determine the prevalence and associated factors of frailty and cognitive frailty among community-dwelling older patients with knee OA in four representative cities of Thailand. Data composed of three parts, Part 1: Demographic data, Part 2: The assessment of frailty by Fried phenotype and cognitive function by MiniCog and Part 3: The assessment of factors associated with frailty. Of 780 elders (mean age, 69.4 ± 6.9 years) screened, 101 (12.9%) were classified to be frail, 511 (65.6%) pre-frail and 168 (21.5%) non-frail. The prevalence of cognitive frailty was 2.44%. The correlation between physical activity rated by the Global Physical Activity Questionnaire (GPAQ) and self-rated methods was high (kappa 0.721; p < 0.001). Self-rated physical activity yielded similar prevalence of frail (9.4%), pre-frail (69.1%) and non-frail (21.5%). In multivariate analysis, aging (OR 3.42; 95% CI 1.16-10.11), severe knee OA symptoms (OR 18.96; 95% CI 3.53-101.65), malnutrition (OR 2.50; 95% CI 1.23-5.09), and functional dependence (OR 3.94; 95% CI 1.19-13.03) were associated with frailty. The prevalence of frailty and pre-frailty was high in knee OA and associated with aging, severe knee OA symptoms, malnutrition, and functional dependence, whereas the prevalence of cognitive frailty was not uncommon in community-dwelling elderly. Physical activity rated by the GPAQ and self-rated methods were highly correlated. Self-rated physical activity may be used in community surveys of frailty.
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Affiliation(s)
- Kulthanit Wanaratna
- Department of Preventive and Social Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
- Department of Thai Traditional and Alternative Medicine, Ministry of Public Health, Mueang Nonthaburi District, Nonthaburi, Thailand
| | - Weerasak Muangpaisan
- Department of Preventive and Social Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand.
| | - Vilai Kuptniratsaikul
- Department of Rehabilitation Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Chalobol Chalermsri
- Department of Preventive and Social Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Apiwan Nuttamonwarakul
- Department of Medical Services, Ministry of Public Health, Mueang Nonthaburi District, Thailand
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Xia R, Wan M, Lin H, Qiu P, Ye Y, He J, Yin L, Tao J, Chen L, Zheng G. Effects of a traditional Chinese mind-body exercise, Baduanjin, on the physical and cognitive functions in the community of older adults with cognitive frailty: study protocol for a randomised controlled trial. BMJ Open 2020; 10:e034965. [PMID: 32299999 PMCID: PMC7201298 DOI: 10.1136/bmjopen-2019-034965] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
INTRODUCTION Cognitive frailty (CF) is a clinical manifestation characterised by the simultaneous presence of both physical frailty and cognitive impairment among older adults without dementia and has become a new target for healthy ageing. Increasing evidence shows that regular Baduanjin (a traditional Chinese mind-body exercise) training is beneficial in improving physical function and cognitive ability in the older adults. The primary aim of this trial is to observe the effect of Baduanjin on physical and cognitive functions in older adults with CF. METHODS AND ANALYSIS In this prospective, outcome assessor-blind, two-arm randomised controlled trial, a total of 102 participants with CF will be recruited and randomly allocated (1:1) into the Baduanjin training or usual physical activity control group. The control group will receive health education for 30 min at least once a month. Based on health education, participants in the Baduanjin exercise group will receive a 24-week Baduanjin training with 60 min per session and 3 sessions per week, while those in the usual physical activity control group will maintain their original lifestyle. Primary outcomes (frailty index and global cognitive ability), body composition, grip force, balance, fatigue, specific cognitive domain, including memory, execution and visual spatial abilities, and life quality of secondary outcomes will be measured at baseline, and at 13 and 25 weeks after randomisation, while the structural and functional MRI will be measured at baseline and 25 weeks after randomisation. The mixed linear model will be conducted to observe the intervention effects. ETHICS AND DISSEMINATION The study has been approved by the ethics committee of the second people's hospital of Fujian province (Approval no. 2018-KL015). Results will be submitted for publication in peer-reviewed journals and disseminated at scientific conferences. TRIAL REGISTRATION NUMBER ChiCTR1800020341; Pre-results.
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Affiliation(s)
- Rui Xia
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Mingyue Wan
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Huiying Lin
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Pingting Qiu
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Yu Ye
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Jianquan He
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Lianhua Yin
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Jing Tao
- Rehabilitation Medicine College, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
| | - Lidian Chen
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Guohua Zheng
- College of Nursing and Health Management, Shanghai University of Medicine & Health Sciences, Shanghai, China
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40
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Rivan NFM, Shahar S, Rajab NF, Singh DKA, Che Din N, Mahadzir H, Mohamed Sakian NI, Ishak WS, Abd. Rahman MH, Mohammed Z, You YX. Incidence and Predictors of Cognitive Frailty Among Older Adults: A Community-based Longitudinal Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E1547. [PMID: 32121194 PMCID: PMC7084438 DOI: 10.3390/ijerph17051547] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 02/07/2020] [Accepted: 02/08/2020] [Indexed: 01/01/2023]
Abstract
(1) Background: Cognitive frailty (CF) is the simultaneous presence of physical frailty and cognitive impairment with an increased risk of dementia. Considering that the risk factors of CF are mostly elucidated from cross-sectional studies, we conducted a community-based longitudinal study to determine the incidence and the predictors of CF among Malaysian older adults.; (2) Methods: Out of 490 older adults participating in the Malaysian Towards Useful Aging (TUA) study, 282 were successfully followed-up at five-years for an analysis of the CF incidence. CF was defined as a comorbid physical frailty (>1 Fried criteria) and mild cognitive impairment (Petersen criteria). A comprehensive interview-based questionnaire was administered for sociodemographic information, cognitive function, physical function, dietary intake, psychosocial, and biochemical indices. Univariate analyses were performed for each variable, followed by a regression analysis to identify the predictors of CF that accounted for confounding effects between the studied factors; (3) Results: The incidence rate of CF was 7.1 per 100 person-years. Advancing age (OR=1.12, 95% CI:1.04-1.21, p < 0.05), depression (OR=1.20, 95% CI:1.05-1.37, p < 0.05), decreased processing speed, assessed by a lower digit symbol score (OR=0.67, 95%CI:0.0.56-0.80, p < 0.05), decreased functional mobility measured using Timed-Up-and-Go (TUG) (OR=1.23, 95% CI:1.04-1.46, p < 0.05), low vitamin D intake (OR:0.36, 95% CI:0.14-0.93, p < 0.05) and physical frailty (OR=2.16, 95% CI:1.02-4.58, p < 0.05) were predictors for CF incidence; and (4) Conclusions: Our study results could be used as an initial reference for future studies to formulate effective preventive management and intervention strategies to decelerate CF development among older adults.
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Affiliation(s)
- Nurul Fatin Malek Rivan
- Nutritional Sciences Programme and Centre for Healthy Ageing and Wellness (H-CARE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia;
| | - Suzana Shahar
- Dietetics Programme and Centre for Healthy Ageing and Wellness (H-CARE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia;
| | - Nor Fadilah Rajab
- Biomedical Science Programme, Centre for Healthy Ageing and Wellness (H-CARE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia;
| | - Devinder Kaur Ajit Singh
- Physiotherapy Programme & Centre for Healthy Ageing and Wellness (H-CARE), Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia;
| | - Normah Che Din
- Health Psychology Programme and Centre of Rehabilitation Science, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia;
| | - Hazlina Mahadzir
- Internal Medicine & Geriatric Department, Pusat Perubatan Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, 56000 Batu 9 Cheras, Kuala Lumpur 50300, Malaysia;
| | - Noor Ibrahim Mohamed Sakian
- Occupational Therapy Programme, Centre for Healthy Ageing and Wellness (H-CARE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia;
| | - Wan Syafira Ishak
- Audiology Programme, Centre for Healthy Ageing and Wellness (H-CARE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia;
| | - Mohd Harimi Abd. Rahman
- Optometry and Vision Sciences Programme, Centre for Healthy Ageing and Wellness (H-CARE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia; (M.H.A.R.); (Z.M.)
| | - Zainora Mohammed
- Optometry and Vision Sciences Programme, Centre for Healthy Ageing and Wellness (H-CARE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia; (M.H.A.R.); (Z.M.)
| | - Yee Xing You
- Dietetics Programme and Centre for Healthy Ageing and Wellness (H-CARE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia;
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Arai H, Kozaki K, Kuzuya M, Matsui Y, Satake S. Chapter 2 Frailty concepts. Geriatr Gerontol Int 2020; 20 Suppl 1:14-19. [PMID: 32050302 DOI: 10.1111/ggi.13831] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Affiliation(s)
- Hidenori Arai
- National Center for Geriatrics and Gerontology, Obu, Japan
| | - Koichi Kozaki
- Department of Geriatric Medicine, Kyorin University, School of Medicine, Mitaka, Japan
| | - Masafumi Kuzuya
- Department of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yasumoto Matsui
- Center for Frailty and Locomotive Syndrome, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Shosuke Satake
- Department of Frailty Research, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Japan
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42
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Ruan Q, Xiao F, Gong K, Zhang W, Zhang M, Ruan J, Zhang X, Chen Q, Yu Z. Prevalence of Cognitive Frailty Phenotypes and Associated Factors in a Community-Dwelling Elderly Population. J Nutr Health Aging 2020; 24:172-180. [PMID: 32003407 DOI: 10.1007/s12603-019-1286-7] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
OBJECTIVES Cognitive frailty was notable target for the prevention of adverse health outcomes in future. The goal of this study was to use a population-based survey to investigate cognitive frailty phenotypes and potentially sociodemographic factors in elderly Chinese individuals. DESIGN Cross-sectional study. SETTING General community. PARTICIPANTS A total of 5328 elderly adults (aged 60 years or older, mean age 71.36 years) enrolled in the Shanghai study of health promotion for elderly individuals with frailty. MEASUREMENTS The 5-item FRAIL scale and the 3-item Rapid Cognitive Screen tools were used to assess physical frailty and cognitive impairment, including dementia or mild cognitive impairment (MCI). Physical frailty was diagnosed by limitations in 3 or more of the FRAIL scale domains and pre-physical frailty by 1-2 limitations. Subjective cognitive decline (SCD) and pre-MCI SCD, was diagnosed with two self-report measures based on memory and other cognitive domains in elderly adults. RESULTS Of the participating individuals, 97.17% (n= 5177, female 53.4%) were eligible. Notably, 9.67%, 41.61% and 35.20% of participants were MCI, SCD and pre-MCI SCD; 35.86% and 4.41% exhibited physical pre-frailty and frailty; and 19.86% and 6.30% exhibited reversible and potential reversible cognitive frailty. Logistic regression analyses indicated that physical frailty phenotypes were significantly associated with MCI with SCD, and pre-MCI with SCD. Older single females with a high education level were more likely to exhibit the reversible cognitive frailty; and younger elderly individuals with a middle education level were at lower risk for potentially reversible cognitive frailty. CONCLUSIONS The prevalence of pre-physical and reversible cognitive frailty was high in elderly individuals and age was the most significant risk factor for all types of frailty phenotypes. To promote the rapid screening protocol of cognitive frailty in community-dwelling elderly is important to find high-risk population, implement effective intervention, and decrease adverse prognosis.
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Affiliation(s)
- Q Ruan
- Dr Zhuowei Yu, Shanghai Institute of Geriatrics and Gerontology, Shanghai Key Laboratory of Clinical Geriatrics, Department of Geriatrics, Huadong Hospital, and Research Center of Aging and Medicine, Shanghai Medical College, Fudan University, 221 West Yan An Road, Shanghai 200040, P.R. China, Tel: 86-21-62483180 Fax: 86-21-62484981
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Anker MS, Anker SD, Coats AJS, von Haehling S. The Journal of Cachexia, Sarcopenia and Muscle stays the front-runner in geriatrics and gerontology. J Cachexia Sarcopenia Muscle 2019; 10:1151-1164. [PMID: 31821753 PMCID: PMC6903443 DOI: 10.1002/jcsm.12518] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Affiliation(s)
- Markus S Anker
- Division of Cardiology and Metabolism, Department of Cardiology, Charité Universitätsmedizin Berlin, Berlin, Germany.,Berlin Institute of Health Center for Regenerative Therapies (BCRT), Berlin, Germany.,German Centre for Cardiovascular Research (DZHK) partner site Berlin, Berlin, Germany.,Department of Cardiology, Charité Campus Benjamin Franklin, Berlin, Germany
| | - Stefan D Anker
- Division of Cardiology and Metabolism, Department of Cardiology, Charité Universitätsmedizin Berlin, Berlin, Germany.,Berlin Institute of Health Center for Regenerative Therapies (BCRT), Berlin, Germany.,German Centre for Cardiovascular Research (DZHK) partner site Berlin, Berlin, Germany.,Department of Cardiology (CVK), Charité Universitätsmedizin Berlin, Berlin, Germany.,Charité Universitätsmedizin Berlin, Berlin, Germany
| | | | - Stephan von Haehling
- Department of Cardiology and Pneumology, Heart Center Göttingen, University of Göttingen Medical Center, Georg-August-University, Göttingen, Germany.,German Center for Cardiovascular Medicine (DZHK), partner site Göttingen, Göttingen, Germany
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Niederstrasser NG, Rogers NT, Bandelow S. Determinants of frailty development and progression using a multidimensional frailty index: Evidence from the English Longitudinal Study of Ageing. PLoS One 2019; 14:e0223799. [PMID: 31665163 PMCID: PMC6821067 DOI: 10.1371/journal.pone.0223799] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Accepted: 09/28/2019] [Indexed: 01/10/2023] Open
Abstract
Objective To identify modifiable risk factors for development and progression of frailty in older adults living in England, as conceptualised by a multidimensional frailty index (FI). Methods Data from participants aged 50 and over from the English Longitudinal Study of Ageing (ELSA) was used to examine potential determinants of frailty, using a 56-item FI comprised of self-reported health conditions, disabilities, cognitive function, hearing, eyesight, depressive symptoms and ability to carry out activities of daily living. Cox proportional hazards regression models were used to measure frailty development (n = 7420) and linear regression models to measure frailty progression over 12 years follow-up (n = 8780). Results Increasing age (HR: 1.08 (CI: 1.08–1.09)), being in the lowest wealth quintile (HR: 1.79 (CI: 1.54–2.08)), lack of educational qualifications (HR: 1.19 (CI: 1.09–1.30)), obesity (HR: 1.33 (CI: 1.18–1.50) and a high waist-hip ratio (HR: 1.25 (CI: 1.13–1.38)), being a current or previous smoker (HR: 1.29 (CI: 1.18–1.41)), pain (HR: 1.39 (CI: 1.34–1.45)), sedentary behaviour (HR: 2.17 (CI: 1.76–2.78) and lower body strength (HR: 1.07 (CI: 1.06–1.08)), were all significant risk factors for frailty progression and incidence after simultaneous adjustment for all examined factors. Conclusion The findings of this study suggest that there may be scope to reduce both frailty incidence and progression by trialling interventions aimed at reducing obesity and sedentary behaviour, increasing intensity of physical activity, and improving success of smoking cessation tools. Furthermore, improving educational outcomes and reducing poverty may also reduce inequalities in frailty.
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Affiliation(s)
- Nils Georg Niederstrasser
- School of Applied Social Sciences, De Montfort University, Leicester, England, United Kingdom
- * E-mail:
| | - Nina Trivedy Rogers
- Department of Epidemiology and Public Health, University College London, London, England, United Kingdom
| | - Stephan Bandelow
- Department of Physiology, Neuroscience and Behavioural Sciences, St. George’s University, St. George’s, Grenada
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Bonaccorsi G, Pieralli F, Innocenti M, Milani C, Del Riccio M, Donzellini M, Baggiani L, Lorini C. Health Literacy among Non-Familial Caregivers of Older Adults: A Study Conducted in Tuscany (Italy). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16193771. [PMID: 31597265 PMCID: PMC6801529 DOI: 10.3390/ijerph16193771] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 10/01/2019] [Accepted: 10/02/2019] [Indexed: 11/16/2022]
Abstract
Many older adults who live at home depend on a caregiver. When familial support cannot provide the necessary care, paid caregivers are frequently hired. Health literacy (HL) is the knowledge and competence required of people to meet the complex demands of health in modern society. The aim of this study is to assess the HL level of paid non-familial caregivers who were enrolled through two different sources: from the homes of assisted people in two Tuscan health districts (first sample) and during job interviews in a home care agency operating in Florence (second sample). The two different recruitment contexts allow us to provide a broader view of the phenomenon, presenting a picture of the HL level of those who are already working and those who are looking for a new job in this field. One-on-one face-to-face interviews, which include the administration of the Newest Vital Sign (NVS) to measure HL, were conducted. Recruitment resulted in 84 caregivers in the first sample and 68 in the second sample. In the first sample, the mean age was 51.2 ± 9 years; 94% of the participants were women. A high likelihood or likelihood of inadequate HL (i.e., a low level of HL) was found in 73.8% of cases. In the second sample, the mean age was 43.7 ± 11.5 years; 83.8% of the participants were women, and 80.9% had a low level of HL. In both samples, HL was statistically associated with the level of understanding of the Italian language. In conclusion, inadequate HL is an under-recognized problem among non-familial caregivers. Educational programs that aim to increase HL skills could be an effective approach to improving the qualification of informal healthcare professionals.
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Affiliation(s)
- Guglielmo Bonaccorsi
- Department of Health Sciences, University of Florence, Viale GB Morgagni 48, 50134 Florence, Italy.
| | - Francesca Pieralli
- Department of Health Sciences, University of Florence, Viale GB Morgagni 48, 50134 Florence, Italy.
| | - Maddalena Innocenti
- School of Specialization in Hygiene and Preventive Medicine, University of Florence, Viale GB Morgagni 48, 50134 Florence, Italy.
| | - Chiara Milani
- School of Specialization in Hygiene and Preventive Medicine, University of Florence, Viale GB Morgagni 48, 50134 Florence, Italy.
| | - Marco Del Riccio
- School of Specialization in Hygiene and Preventive Medicine, University of Florence, Viale GB Morgagni 48, 50134 Florence, Italy.
| | - Martina Donzellini
- Department of Health Sciences, University of Florence, Viale GB Morgagni 48, 50134 Florence, Italy.
| | - Lorenzo Baggiani
- AUSL Toscana Centro, Florence, Piazza Santa Maria Nuova 1, 50122 Florence, Italy.
| | - Chiara Lorini
- Department of Health Sciences, University of Florence, Viale GB Morgagni 48, 50134 Florence, Italy.
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Downer B, Al Snih S, Howrey BT, Raji MA, Markides KS, Ottenbacher KJ. Combined effects of cognitive impairment and pre-frailty on future frailty and death in older Mexican Americans. Aging Ment Health 2019; 23:1405-1412. [PMID: 30472880 PMCID: PMC6534489 DOI: 10.1080/13607863.2018.1493719] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Revised: 06/19/2018] [Accepted: 06/24/2018] [Indexed: 01/19/2023]
Abstract
Objectives: Impaired cognition and pre-frailty are associated with poor health outcomes. However, research has not examined the combined impact of cognitive impairment and pre-frailty on future frailty and mortality among older Mexican Americans. Methods: Data for this analysis came from the 2006-2007 and 2010-2011 waves of the Hispanic EPESE. The final sample included 639 Mexican Americans aged ≥77 years who were non-frail or pre-frail in 2006-2007. Frailty measure included weight loss, exhaustion, weakness, and slow walking speed. Participants were classified as non-frail (0 criteria) and pre-frail (1 criterion) at baseline. Cognitive impairment was defined as <21 points on the MMSE. At baseline, participants were grouped as: cognitively intact non-frail, cognitively intact pre-frail, cognitively impaired non-frail, and cognitively impaired pre-frail. Logistic and hazard regression models were used to evaluate the odds of being frail in 2010-2011 and risk for 10-year mortality. Results: Cognitively impaired pre-frail participants were more likely to become frail (OR = 4.82, 95% CI = 2.02-11.42) and deceased (HR = 1.99, 95% CI = 1.42-2.78). Cognitively impaired non-frail participants had significantly higher risk for mortality (HR = 1.55, 95% CI = 1.12-2.19) but not frailty (OR = 1.29, 95% CI = 0.50-3.11). Being cognitively intact and pre-frail at baseline was not significantly associated with being frail at follow-up (OR = 1.62, 95% CI = 0.83-3.19) or mortality (HR = 1.29, 95% CI = 0.97-1.71). Conclusions: Comorbid cognitive impairment and pre-frailty is associated with future frailty and mortality in older Mexican Americans. Screening for cognitive impairment may be effective for identifying pre-frail Mexican Americans who are at the highest risk of frailty and mortality.
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Affiliation(s)
- Brian Downer
- University of Texas Medical Branch, Division of Rehabilitation Sciences
| | - Soham Al Snih
- University of Texas Medical Branch, Division of Rehabilitation Sciences
- University of Texas Medical Branch, Department of Internal Medicine / Division of Geriatric Medicine
- University of Texas Medical Branch, Sealy Center on Aging
| | - Bret T. Howrey
- University of Texas Medical Branch, Department of Family Medicine
| | - Mukaila A. Raji
- University of Texas Medical Branch, Department of Internal Medicine / Division of Geriatric Medicine
- University of Texas Medical Branch, Sealy Center on Aging
| | | | - Kenneth J. Ottenbacher
- University of Texas Medical Branch, Division of Rehabilitation Sciences
- University of Texas Medical Branch, Sealy Center on Aging
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Picca A, Coelho-Junior HJ, Cesari M, Marini F, Miccheli A, Gervasoni J, Bossola M, Landi F, Bernabei R, Marzetti E, Calvani R. The metabolomics side of frailty: Toward personalized medicine for the aged. Exp Gerontol 2019; 126:110692. [PMID: 31421185 DOI: 10.1016/j.exger.2019.110692] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 07/24/2019] [Accepted: 08/13/2019] [Indexed: 12/12/2022]
Abstract
Frailty encompasses several domains (i.e., metabolic, physical, cognitive). The multisystem derangements underlying frailty pathophysiology, its phenotypic heterogeneity, and the fluctuations of individuals across severity states have hampered a comprehensive appraisal of the condition. Circulating biomarkers emerged as an alleged tool for capturing this complexity and, as proxies for organismal metabolic changes, may hold the advantages of: 1) supporting diagnosis, 2) tracking the progression, 3) assisting healthcare professionals in clinical and therapeutic decision-making, and 4) verifying the efficacy of an intervention before measurable clinical manifestations occur. Among available analytical tools, metabolomics are able to identify and quantify the (ideally) whole repertoire of small molecules in biological matrices (i.e., cells, tissues, and biological fluids). Results of metabolomics analysis may define the final output of genome-environment interactions at the individual level. This entire collection of metabolites is called "metabolome" and is highly dynamic. Here, we discuss how monitoring the dynamics of metabolic profiles may provide a read-out of the environmental and clinical disturbances affecting cell homeostasis in frailty-associated conditions.
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Affiliation(s)
- Anna Picca
- Università Cattolica del Sacro Cuore, Institute of Internal Medicine and Geriatrics, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy
| | - Hélio José Coelho-Junior
- Università Cattolica del Sacro Cuore, Institute of Internal Medicine and Geriatrics, 00168 Rome, Italy; Applied Kinesiology Laboratory-LCA, School of Physical Education, University of Campinas, 13.083-851 Campinas, SP, Brazil
| | - Matteo Cesari
- Department of Clinical Sciences and Community Health, Università di Milano, 20122 Milan, Italy; Geriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Federico Marini
- Department of Chemistry, Sapienza Università di Roma, 00168 Rome, Italy
| | - Alfredo Miccheli
- Department of Chemistry, Sapienza Università di Roma, 00168 Rome, Italy
| | - Jacopo Gervasoni
- Università Cattolica del Sacro Cuore, Institute of Internal Medicine and Geriatrics, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy
| | - Maurizio Bossola
- Università Cattolica del Sacro Cuore, Institute of Internal Medicine and Geriatrics, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy
| | - Francesco Landi
- Università Cattolica del Sacro Cuore, Institute of Internal Medicine and Geriatrics, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy
| | - Roberto Bernabei
- Università Cattolica del Sacro Cuore, Institute of Internal Medicine and Geriatrics, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy.
| | - Emanuele Marzetti
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy.
| | - Riccardo Calvani
- Università Cattolica del Sacro Cuore, Institute of Internal Medicine and Geriatrics, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy
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Esteban-Cornejo I, Cabanas-Sánchez V, Higueras-Fresnillo S, Ortega FB, Kramer AF, Rodriguez-Artalejo F, Martinez-Gomez D. Cognitive Frailty and Mortality in a National Cohort of Older Adults: the Role of Physical Activity. Mayo Clin Proc 2019; 94:1180-1189. [PMID: 30871783 DOI: 10.1016/j.mayocp.2018.10.027] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 10/23/2018] [Accepted: 10/31/2018] [Indexed: 01/07/2023]
Abstract
OBJECTIVE To examine the association between cognitive frailty and long-term all-cause mortality and the stratified and combined associations of physical activity and cognitive frailty with long-term all-cause mortality in a population-based cohort of older adults from Spain. PATIENTS AND METHODS A representative cohort of 3677 noninstitutionalized individuals from Spain aged 60 years or older was recruited between April 17, 2000, and April 28, 2001, with follow-up through December 28, 2014. Information on self-reported physical activity and cognitive frailty status were collected at baseline. Analyses were performed with Cox regression after adjustment for confounders. RESULTS The median follow-up was 14 years (range, 0.03-14.25 years), corresponding to 40,447 person-years, with a total of 1634 deaths. The hazard ratio (HR) for all-cause mortality among participants with cognitive frailty compared with robust participants was 1.69 (95% CI, 1.43-2.01). Being active was associated with a mortality reduction of 36% (95% CI, 21%-47%) in cognitively frail individuals. Compared with those who were robust and active, participants with cognitive frailty who were inactive had the highest mortality risk (HR, 2.13; 95% CI, 1.73-2.61), which was equivalent to being 6.8 (95% CI, 5.33-7.99) years older. CONCLUSION Cognitive frailty was more markedly associated with increased mortality in inactive older adults, and being active reduced the mortality risk among cognitively frail individuals by 36%. These novel results highlight that engaging in physical activity could improve survival among cognitively frail older adults.
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Affiliation(s)
- Irene Esteban-Cornejo
- Center for Cognitive and Brain Health, Department of Psychology, Northeastern University, Boston, MA; PROFITH "PROmoting FITness and Health through physical activity" Research Group, Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain.
| | - Verónica Cabanas-Sánchez
- Research Centre in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sport, University of Porto, Porto, Portugal
| | - Sara Higueras-Fresnillo
- Department of Physical Education, Sport and Human Movement, Autonomous University of Madrid, Madrid, Spain
| | - Francisco B Ortega
- PROFITH "PROmoting FITness and Health through physical activity" Research Group, Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - Arthur F Kramer
- Center for Cognitive and Brain Health, Department of Psychology, Northeastern University, Boston, MA; Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL
| | - Fernando Rodriguez-Artalejo
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid/IdiPAZ and CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain; IMDEA Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - David Martinez-Gomez
- Department of Physical Education, Sport and Human Movement, Autonomous University of Madrid, Madrid, Spain; IMDEA Food Institute, CEI UAM + CSIC, Madrid, Spain
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Panza F, Lozupone M, Solfrizzi V, Sardone R, Dibello V, Di Lena L, D'Urso F, Stallone R, Petruzzi M, Giannelli G, Quaranta N, Bellomo A, Greco A, Daniele A, Seripa D, Logroscino G. Different Cognitive Frailty Models and Health- and Cognitive-related Outcomes in Older Age: From Epidemiology to Prevention. J Alzheimers Dis 2019; 62:993-1012. [PMID: 29562543 PMCID: PMC5870024 DOI: 10.3233/jad-170963] [Citation(s) in RCA: 189] [Impact Index Per Article: 37.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Frailty, a critical intermediate status of the aging process that is at increased risk for negative health-related events, includes physical, cognitive, and psychosocial domains or phenotypes. Cognitive frailty is a condition recently defined by operationalized criteria describing coexisting physical frailty and mild cognitive impairment (MCI), with two proposed subtypes: potentially reversible cognitive frailty (physical frailty/MCI) and reversible cognitive frailty (physical frailty/pre-MCI subjective cognitive decline). In the present article, we reviewed the framework for the definition, different models, and the current epidemiology of cognitive frailty, also describing neurobiological mechanisms, and exploring the possible prevention of the cognitive frailty progression. Several studies suggested a relevant heterogeneity with prevalence estimates ranging 1.0–22.0% (10.7–22.0% in clinical-based settings and 1.0–4.4% in population-based settings). Cross-sectional and longitudinal population-based studies showed that different cognitive frailty models may be associated with increased risk of functional disability, worsened quality of life, hospitalization, mortality, incidence of dementia, vascular dementia, and neurocognitive disorders. The operationalization of clinical constructs based on cognitive impairment related to physical causes (physical frailty, motor function decline, or other physical factors) appears to be interesting for dementia secondary prevention given the increased risk for progression to dementia of these clinical entities. Multidomain interventions have the potential to be effective in preventing cognitive frailty. In the near future, we need to establish more reliable clinical and research criteria, using different operational definitions for frailty and cognitive impairment, and useful clinical, biological, and imaging markers to implement intervention programs targeted to improve frailty, so preventing also late-life cognitive disorders.
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Affiliation(s)
- Francesco Panza
- Department of Medical Sciences, Geriatric Unit and Laboratory of Gerontology and Geriatrics, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy.,Department of Basic Medicine, Neurodegenerative Disease Unit, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy.,Department of Clinical Research in Neurology, University of Bari Aldo Moro, "Pia Fondazione Cardinale G. Panico", Tricase, Lecce, Italy
| | - Madia Lozupone
- Department of Basic Medicine, Neurodegenerative Disease Unit, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Vincenzo Solfrizzi
- Geriatric Medicine-Memory Unit and Rare Disease Centre, University of Bari "Aldo Moro", Bari, Italy
| | - Rodolfo Sardone
- National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte Bari, Italy
| | - Vittorio Dibello
- Interdisciplinary Department of Medicine (DIM), Section of Dentistry, University of Bari Aldo Moro, Bari, Italy
| | - Luca Di Lena
- National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte Bari, Italy
| | - Francesca D'Urso
- Department of Clinical and Experimental Medicine, Psychiatric Unit, University of Foggia, Foggia, Italy
| | - Roberta Stallone
- Department of Basic Medicine, Neurodegenerative Disease Unit, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Massimo Petruzzi
- Interdisciplinary Department of Medicine (DIM), Section of Dentistry, University of Bari Aldo Moro, Bari, Italy
| | - Gianluigi Giannelli
- National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte Bari, Italy
| | | | - Antonello Bellomo
- Department of Clinical and Experimental Medicine, Psychiatric Unit, University of Foggia, Foggia, Italy
| | - Antonio Greco
- Department of Medical Sciences, Geriatric Unit and Laboratory of Gerontology and Geriatrics, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Antonio Daniele
- Institute of Neurology, Catholic University of Sacred Heart, Rome, Italy
| | - Davide Seripa
- Department of Medical Sciences, Geriatric Unit and Laboratory of Gerontology and Geriatrics, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Giancarlo Logroscino
- Department of Basic Medicine, Neurodegenerative Disease Unit, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy.,Department of Clinical Research in Neurology, University of Bari Aldo Moro, "Pia Fondazione Cardinale G. Panico", Tricase, Lecce, Italy
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Kim H, Awata S, Watanabe Y, Kojima N, Osuka Y, Motokawa K, Sakuma N, Inagaki H, Edahiro A, Hosoi E, Won C, Shinkai S. Cognitive frailty in community‐dwelling older Japanese people: Prevalence and its association with falls. Geriatr Gerontol Int 2019; 19:647-653. [DOI: 10.1111/ggi.13685] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Revised: 04/01/2019] [Accepted: 04/16/2019] [Indexed: 11/29/2022]
Affiliation(s)
- Hunkyung Kim
- Research Team for Promoting Independence and Mental HealthTokyo Metropolitan Institute of Gerontology Tokyo Japan
| | - Shuichi Awata
- Research Team for Promoting Independence and Mental HealthTokyo Metropolitan Institute of Gerontology Tokyo Japan
| | - Yutaka Watanabe
- Research Team for Promoting Independence and Mental HealthTokyo Metropolitan Institute of Gerontology Tokyo Japan
| | - Narumi Kojima
- Research Team for Promoting Independence and Mental HealthTokyo Metropolitan Institute of Gerontology Tokyo Japan
| | - Yosuke Osuka
- Research Team for Promoting Independence and Mental HealthTokyo Metropolitan Institute of Gerontology Tokyo Japan
| | - Keiko Motokawa
- Research Team for Promoting Independence and Mental HealthTokyo Metropolitan Institute of Gerontology Tokyo Japan
| | - Naoko Sakuma
- Research Team for Promoting Independence and Mental HealthTokyo Metropolitan Institute of Gerontology Tokyo Japan
| | - Hiroki Inagaki
- Research Team for Promoting Independence and Mental HealthTokyo Metropolitan Institute of Gerontology Tokyo Japan
| | - Ayako Edahiro
- Research Team for Promoting Independence and Mental HealthTokyo Metropolitan Institute of Gerontology Tokyo Japan
| | - Erika Hosoi
- Research Team for Promoting Independence and Mental HealthTokyo Metropolitan Institute of Gerontology Tokyo Japan
| | - Chang‐Won Won
- Department of Family MedicineKyung Hee University Hospital Seoul Korea
| | - Shoji Shinkai
- Research Team for Promoting Independence and Mental HealthTokyo Metropolitan Institute of Gerontology Tokyo Japan
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