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Crowe C, Barton J, O'Flynn B, Tedesco S. Association between wrist-worn free-living accelerometry and hand grip strength in middle-aged and older adults. Aging Clin Exp Res 2024; 36:108. [PMID: 38717552 PMCID: PMC11078825 DOI: 10.1007/s40520-024-02757-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 04/16/2024] [Indexed: 05/12/2024]
Abstract
INTRODUCTION Wrist-worn activity monitors have seen widespread adoption in recent times, particularly in young and sport-oriented cohorts, while their usage among older adults has remained relatively low. The main limitations are in regards to the lack of medical insights that current mainstream activity trackers can provide to older subjects. One of the most important research areas under investigation currently is the possibility of extrapolating clinical information from these wearable devices. METHODS The research question of this study is understanding whether accelerometry data collected for 7-days in free-living environments using a consumer-based wristband device, in conjunction with data-driven machine learning algorithms, is able to predict hand grip strength and possible conditions categorized by hand grip strength in a general population consisting of middle-aged and older adults. RESULTS The results of the regression analysis reveal that the performance of the developed models is notably superior to a simple mean-predicting dummy regressor. While the improvement in absolute terms may appear modest, the mean absolute error (6.32 kg for males and 4.53 kg for females) falls within the range considered sufficiently accurate for grip strength estimation. The classification models, instead, excel in categorizing individuals as frail/pre-frail, or healthy, depending on the T-score levels applied for frailty/pre-frailty definition. While cut-off values for frailty vary, the results suggest that the models can moderately detect characteristics associated with frailty (AUC-ROC: 0.70 for males, and 0.76 for females) and viably detect characteristics associated with frailty/pre-frailty (AUC-ROC: 0.86 for males, and 0.87 for females). CONCLUSIONS The results of this study can enable the adoption of wearable devices as an efficient tool for clinical assessment in older adults with multimorbidities, improving and advancing integrated care, diagnosis and early screening of a number of widespread diseases.
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Affiliation(s)
- Colum Crowe
- Tyndall National Institute, University College Cork, Lee Maltings, Prospect Row, Cork, T12R5CP, Ireland
| | - John Barton
- Tyndall National Institute, University College Cork, Lee Maltings, Prospect Row, Cork, T12R5CP, Ireland
| | - Brendan O'Flynn
- Tyndall National Institute, University College Cork, Lee Maltings, Prospect Row, Cork, T12R5CP, Ireland
| | - Salvatore Tedesco
- Tyndall National Institute, University College Cork, Lee Maltings, Prospect Row, Cork, T12R5CP, Ireland.
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Liu J, Zhu Y, Tan JK, Ismail AH, Ibrahim R, Hassan NH. Factors Associated with Frailty in Older Adults in Community and Nursing Home Settings: A Systematic Review with a Meta-Analysis. J Clin Med 2024; 13:2382. [PMID: 38673654 PMCID: PMC11050860 DOI: 10.3390/jcm13082382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 03/06/2024] [Accepted: 03/07/2024] [Indexed: 04/28/2024] Open
Abstract
Background: Frailty is a globally recognized issue. However, there is a lack of evidence exploring factors associated with frailty among older residents in community and nursing-home settings. Methods: To explore the prevalence and factors associated with frailty among older adults in community and nursing-home settings, we conducted a systematic search following the PRISMA guidelines across Web of Science, MEDLINE, EMBASE, PubMed, and Cochrane databases up until January 2024, selecting 38 studies which encompassed 150,642 participants. Results: Our findings showed higher frailty prevalence in nursing homes compared to communities. Frailty was significantly associated with sociodemographic (living alone, poor self-reported health), physiological (poor sleep, low activity of daily living), behavioral (physical inactivity) and disease (chronic conditions, depression) factors in both community and nursing-home settings. Conclusions: There are numerous factors associated with frailty in older adults in nursing-home and community settings. These factors underscore the significance of promptly identifying high-risk individuals and devising appropriate interventions to mitigate frailty among them.
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Affiliation(s)
- Jia Liu
- Department of Nursing, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia; (J.L.); (A.H.I.)
| | - Yuezhi Zhu
- Department of Biochemistry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia; (Y.Z.); (J.K.T.)
| | - Jen Kit Tan
- Department of Biochemistry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia; (Y.Z.); (J.K.T.)
| | - Azera Hasra Ismail
- Department of Nursing, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia; (J.L.); (A.H.I.)
| | - Roszita Ibrahim
- Department of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia;
| | - Nor Haty Hassan
- Department of Nursing, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia; (J.L.); (A.H.I.)
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Emerson A, Li X, Zaller N, Ramaswamy M. Characterizing Aging-Related Health in Older Women with a History of Incarceration: Multimorbidity, Polypharmacy, Mortality, Frailty, and Depression. J Aging Health 2024:8982643241233322. [PMID: 38374771 DOI: 10.1177/08982643241233322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
OBJECTIVE To characterize aging-related health in women with past CLSI and compare with women with no-CLSI. METHOD Health and Retirement Study Wave 11 and 12 data from women age >50 with CLSI were compared with data from women age >50 with no-CLSI. Generalized linear models were estimated for aging-related health outcomes. RESULTS The group with CLSI (n = 230) was significantly younger than the no-CLSI group (n = 8035) yet had more physical, functional, and mental health challenges and fewer resources. Incarceration significantly predicted aging-related outcomes of multimorbidity, polypharmacy, mortality, frailty, and depression. DISCUSSION Earlier onset of physical and functional health conditions in women with past CLSI has implications for health education and promotion, clinical practice, and intervention design.
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Affiliation(s)
- Amanda Emerson
- School of Nursing, University of Kansas Medical Center, Kansas City, KS, USA
| | - Xinyang Li
- Department of Population Health, University of Kansas Medical Center, Kansas City, KS, USA
| | - Nick Zaller
- Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Megha Ramaswamy
- Department of Population Health, University of Kansas Medical Center, Kansas City, KS, USA
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Nader MM, Cosarderelioglu C, Miao E, Whitson H, Xue QL, Grodstein F, Oh E, Ferrucci L, Bennett DA, Walston JD, George C, Abadir PM. Navigating and diagnosing cognitive frailty in research and clinical domains. NATURE AGING 2023; 3:1325-1333. [PMID: 37845509 DOI: 10.1038/s43587-023-00504-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 09/13/2023] [Indexed: 10/18/2023]
Abstract
While physical frailty has been recognized as a clinical entity for some time, the concept of cognitive frailty (CF) is now gaining increasing attention in the geriatrics research community. CF refers to the co-occurrence of physical frailty and cognitive impairment in older adults, which has been suggested as a potential precursor to both dementia and adverse physical outcomes. However, this condition represents a challenge for researchers and clinicians, as there remains a lack of consensus regarding the definition and diagnostic criteria for CF, which has limited its utility. Here, using insights from both the physical frailty literature and cognitive science research, we describe emerging research on CF. We highlight areas of agreement as well as areas of confusion and remaining knowledge gaps, and provide our perspective on fine-tuning the current construct, aiming to stimulate further discussion in this developing field.
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Affiliation(s)
- Monica M Nader
- Johns Hopkins University School of Medicine, Division of Geriatric Medicine and Gerontology, Baltimore, MD, USA
| | - Caglar Cosarderelioglu
- Johns Hopkins University School of Medicine, Division of Geriatric Medicine and Gerontology, Baltimore, MD, USA
- Ankara University School of Medicine, Department of Internal Medicine, Division of Geriatrics, Ankara, Turkey
| | - Emily Miao
- Albert Einstein College of Medicine/Montefiore Medical Center, Department of Medicine, Division of Geriatrics, New York, NY, USA
| | - Heather Whitson
- Duke University School of Medicine, Center for the Study of Aging, Durham, NC, USA
| | - Qian-Li Xue
- Johns Hopkins University School of Medicine, Division of Geriatric Medicine and Gerontology, Baltimore, MD, USA
- Johns Hopkins University Center on Aging and Health, Baltimore, MD, USA
| | - Francine Grodstein
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Esther Oh
- Johns Hopkins University School of Medicine, Division of Geriatric Medicine and Gerontology, Baltimore, MD, USA
| | | | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Jeremy D Walston
- Johns Hopkins University School of Medicine, Division of Geriatric Medicine and Gerontology, Baltimore, MD, USA
| | - Claudene George
- Albert Einstein College of Medicine/Montefiore Medical Center, Department of Medicine, Division of Geriatrics, New York, NY, USA
| | - Peter M Abadir
- Johns Hopkins University School of Medicine, Division of Geriatric Medicine and Gerontology, Baltimore, MD, USA.
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Vahedi A, Eriksdotter M, Ihle‐Hansen H, Wyller TB, Øksengård AR, Fure B. Cognitive impairment in people with physical frailty using the phenotype model: A systematic review and meta analysis. Int J Geriatr Psychiatry 2022; 37:10.1002/gps.5822. [PMID: 36221235 PMCID: PMC9828066 DOI: 10.1002/gps.5822] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 09/29/2022] [Indexed: 01/12/2023]
Abstract
OBJECTIVE We performed a systematic review and meta-analysis to study the relationship between cognitive functioning and phenotypic frailty status. METHODS We searched Pubmed, Cochrane Library and Epistemonikos from 2000 until March 2022, and used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Samples included both sexes, age ≥55 years, assessed with standardized measures of the different cognitive domains and the frailty phenotype model and analyzing the relationship between the frailty subtypes pre-frail, frail and robust and specific cognitive function. RESULTS Eleven studies published from 2008 until March 2022 fulfilled the inclusion criteria, and 10 were included in our meta-analyses. Sample sizes varied from 104 to 4649 individuals. Mean Mini-Mental State Examination (MMSE) scores ranged from 17.0 to 27.6, with mean difference (MD) of -2.55 (95% confidence interval [CI] -3.32, -1.78) in frail compared to robust, MD -1.64 (95% CI -2.21, -1.06) in frail compared to prefrail and MD -0.68 (95% CI -0.94, -0.43) in prefrail compared to robust. In subgroup analyses, frail persons had lower scores in the memory domain with standardized mean difference (SMD) -1.01 (95% CI -1.42, -0.59). CONCLUSION MMSE scores were significantly lower in frail compared to robust and prefrail persons and in prefrail compared to robust persons. Subgroup analysis of memory revealed significantly poorer scores in frail compared to robust. The results indicate a strong relationship between physical frailty and cognitive impairment suggesting incorporation of cognitive function in frailty assessments.
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Affiliation(s)
- Ali Vahedi
- Department of Internal MedicineSection of Geriatric MedicineCentral Hospital KarlstadKarlstadSweden,School of Medical SciencesÖrebro UniversityÖrebroSweden
| | - Maria Eriksdotter
- Division of Clinical GeriatricsDepartment of Neurobiology, Care Sciences and SocietyKarolinska InstitutetHuddingeSweden,Theme Inflammation and AgingKarolinska University HospitalHuddingeSweden
| | - Hege Ihle‐Hansen
- Stroke UnitDepartment of NeurologyOslo University HospitalOsloNorway
| | - Torgeir Bruun Wyller
- Institute of Clinical MedicineUniversity of OsloOsloNorway,Department of Geriatric MedicineOslo University HospitalOsloNorway
| | | | - Brynjar Fure
- Department of Internal MedicineSection of Geriatric MedicineCentral Hospital KarlstadKarlstadSweden,School of Medical SciencesÖrebro UniversityÖrebroSweden
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Smith PJ, Lew M, Lowder Y, Romero K, Thompson JC, Bohannon L, Pittman A, Artica A, Ramalingam S, Choi T, Gasparetto C, Horwitz M, Long G, Lopez R, Rizzieri D, Sarantopoulos S, Sullivan K, Chao N, Sung AD. Cognitive impairment in candidates for allogeneic hematopoietic stem cell transplantation. Bone Marrow Transplant 2022; 57:89-94. [PMID: 34667271 PMCID: PMC10037500 DOI: 10.1038/s41409-021-01470-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 07/16/2021] [Accepted: 09/13/2021] [Indexed: 02/06/2023]
Abstract
Hematopoietic cell transplant (HCT) is an increasingly common and curative treatment strategy to improve survival among individuals with malignant and nonmalignant diseases, with over one million HCTs having been performed worldwide. Neurocognitive dysfunction is a common and untoward consequence of HCT for many recipients, although few studies have examined the profile of neurocognitive impairments in HCT or their association with clinical features, such as frailty, or the incidence of pre-HCT neurocognitive impairments across all ages, which may influence post-HCT neurocognitive impairments. We examined the pattern and correlates of pre-transplant neurocognitive dysfunction in a prospective sample of adults undergoing HCT. Neurocognition was assessed using the Montreal Cognitive Assessment Battery. Frailty was assessed using the Short Physical Performance Battery. Linear regression analysis was used to examine the associations between neurocognitive performance and frailty. Neurocognitive screening profiles were also examined by partitioning MoCA into domain scores, including Executive Function and Memory. We also examined the associations between neurocognition, frailty, and clinical outcomes, including length of transplant hospitalization and survival. One hundred and ten adults were evaluated across a wide age range (range: 19-75; mean age = 54.7 [SD = 14.1]). Neurocognitive performance tended to fall below published normative levels (mean MoCA = 25.5 [SD = 4.1]), with 17% of participants demonstrating impaired performance compared with medical normative data (MoCA ≤ 22) and 34% exhibiting impaired performance relative to healthy samples (MoCA ≤ 25). Mild impairments (MoCA ≤ 25) were common across age ranges, including middle-aged patients (23% for age < 50; 35% for age 50-60, 41% for age ≥ 60), particularly for items assessing Executive Function. Greater levels of frailty associated with lower neurocognitive screening scores (r = -0.29, P < 0.01) and Executive Functioning (r = -0.24, P < 0.01), whereas greater age was associated with poorer Memory performance only (r = -0.33, P < 0.01). Greater levels of frailty prior to transplant associated with longer length of stay (β = 0.10, P = 0.046), but were not associated with survival. Neurocognitive impairments are common among adults undergoing HCT and the pattern of performance varies by age. Pre-transplant frailty is associated with neurocognitive functioning and may portend worse post-transplant early clinical outcomes.
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Affiliation(s)
- Patrick J Smith
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA.
| | - Meagan Lew
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Yen Lowder
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Kristi Romero
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Jillian C Thompson
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Lauren Bohannon
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Alyssa Pittman
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Alexandra Artica
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Sendhilnathan Ramalingam
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Taewoong Choi
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Cristina Gasparetto
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Mitchell Horwitz
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Gwynn Long
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Richard Lopez
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - David Rizzieri
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Stefanie Sarantopoulos
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Keith Sullivan
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Nelson Chao
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Anthony D Sung
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
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