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Sun R, Li Y, Kang Y, Xu X, Zhu J, Fu H, Zhang Y, Lin J, Liu Y. Interpretable machine learning models to predict decline in intrinsic capacity among older adults in China: a prospective cohort study. Maturitas 2025; 198:108594. [PMID: 40344939 DOI: 10.1016/j.maturitas.2025.108594] [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: 03/06/2025] [Revised: 04/21/2025] [Accepted: 05/06/2025] [Indexed: 05/11/2025]
Abstract
BACKGROUND Monitoring intrinsic capacity and implementing appropriate interventions can support healthy aging. There are, though, few tools available for predicting decline in intrinsic capacity among older adults. This study aimed to develop and validate an interpretable machine learning model designed to identify populations at elevated risk of a decline in intrinsic capacity. METHODS Using data from the China Health and Retirement Longitudinal Study baseline (2011) and 4-year follow-up (2015), a total of 822 participants were randomly allocated to a training set and a testing set at a 7:3 ratio. Five machine learning methods were employed to train the model and assess its performance through various metrics. The SHapley Additive exPlanation method was subsequently used to interpret the optimal model. RESULTS The 4-year incidence of decline in intrinsic capacity among the older adults in the sample was 44.6 % (n = 367). Nine variables were screened for model construction, among which eXtreme gradient boosting demonstrated the best predictive performance, achieving an area under the receiver operating characteristic curve (AUC) of 0.715 (95 % CI 0.651-0.780) in the testing set. The SHapley Additive exPlanation method identified educational level, smoking, handgrip strength, self-rated health, and residence as the top five significant predictors. CONCLUSIONS The developed model can serve as a highly effective tool for primary care teams to identify older adults with early signs of decline in intrinsic capacity, facilitating the provision of subsequent screening and tailored interventions for intrinsic capacity.
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Affiliation(s)
- Runjie Sun
- School of Nursing School of Public Health, Yangzhou University, Yangzhou 225009, China
| | - Yijing Li
- School of Nursing School of Public Health, Yangzhou University, Yangzhou 225009, China
| | - Yanru Kang
- School of Nursing School of Public Health, Yangzhou University, Yangzhou 225009, China
| | - Xinqi Xu
- School of Nursing School of Public Health, Yangzhou University, Yangzhou 225009, China
| | - Jie Zhu
- School of Nursing School of Public Health, Yangzhou University, Yangzhou 225009, China
| | - Haiyan Fu
- School of Nursing School of Public Health, Yangzhou University, Yangzhou 225009, China
| | - Yining Zhang
- School of Nursing School of Public Health, Yangzhou University, Yangzhou 225009, China
| | - Jingwen Lin
- School of Nursing School of Public Health, Yangzhou University, Yangzhou 225009, China
| | - Yongbing Liu
- School of Nursing School of Public Health, Yangzhou University, Yangzhou 225009, China.
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De Spiegeleer A, Bronselaer A, Mahieu I, Vreys D, Haslbauer A, Leibfarth JP, Van Schoote L, Wakjira A, Petrovic M, Wynendaele E, De Spiegeleer B, Van Den Noortgate N, Kressig RW, Rössler R. The association between statins and gait speed reserve in older adults: effects of concomitant medication. GeroScience 2025:10.1007/s11357-025-01682-x. [PMID: 40332452 DOI: 10.1007/s11357-025-01682-x] [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: 12/18/2024] [Accepted: 04/23/2025] [Indexed: 05/08/2025] Open
Abstract
Statins are frequently prescribed to older adults, yet their effects on ageing phenotypes such as frailty or physiological reserves remain poorly understood. Gait Speed Reserve (GSR), defined as the difference between maximal and usual gait speeds, serves as an indicator of physiological reserve, reflecting the body's ability to perform beyond baseline functional levels. Polypharmacy, prevalent in this population, may contribute to inconsistent findings through interactions between statins and concomitant medications. We aimed to investigate how concomitant medications moderate the association between statin use and GSR in older adults. To this end, we conducted a cross-sectional observational cohort study using data from the Mobility Center at the University Department of Geriatric Medicine FELIX PLATTER, Basel, Switzerland (n = 5519 adults aged ≥ 60 years). Moderation regression analyses with propensity score weighting were used to evaluate the effect of concomitant medications on the association between statin use and GSR. Results showed statin use was associated with a lower GSR compared to non-use (- 1.9 cm/s [95% CI, - 3.1 to - 0.72]). However, ACE inhibitors and aspirin significantly influenced this association. The GSR difference for statin users compared to non-users increased by 3.7 cm/s (from - 2.2 to 1.5 cm/s; 95% CI, 0.0 to 7.4) with concomitant ACE inhibitor use and by 5.8 cm/s (from - 3.4 to 2.3 cm/s; 95% CI, 2.5 to 9.1) with aspirin use. We found no statistically significant association between statin use and usual gait speed, the secondary outcome. In conclusion, ACE inhibitors and aspirin interacted with statins, reversing the negative association with GSR into a positive one when co-used. Future clinical trials are needed to determine causality and further investigate the impact of concomitant medication use on statin effects in aging populations. Meanwhile, our findings underscore the importance of considering concomitant medication use when assessing the effects of statins in older adults.
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Affiliation(s)
- Anton De Spiegeleer
- Translational Research in Immunosenescence, Gerontology and Geriatrics (TRIGG) Group, Ghent University, Ghent, Belgium
- Department of Geriatrics, Ghent University Hospital, Ghent, Belgium
- Department of Internal Medicine and Paediatrics, Ghent University, Ghent, Belgium
| | - Antoon Bronselaer
- Department of Telecommunications & Information Processing, Faculty of Engineering and Architecture, Ghent University, Ghent, Belgium
| | - Ine Mahieu
- Translational Research in Immunosenescence, Gerontology and Geriatrics (TRIGG) Group, Ghent University, Ghent, Belgium
- Department of Geriatrics, Ghent University Hospital, Ghent, Belgium
- Department of Internal Medicine and Paediatrics, Ghent University, Ghent, Belgium
| | - Dorien Vreys
- Translational Research in Immunosenescence, Gerontology and Geriatrics (TRIGG) Group, Ghent University, Ghent, Belgium
- Department of Geriatrics, Ghent University Hospital, Ghent, Belgium
- Department of Internal Medicine and Paediatrics, Ghent University, Ghent, Belgium
| | - Aaron Haslbauer
- University Department of Geriatric Medicine FELIX PLATTER, Basel, Switzerland
| | - Jan-Philipp Leibfarth
- Department of Telecommunications & Information Processing, Faculty of Engineering and Architecture, Ghent University, Ghent, Belgium
| | - Lara Van Schoote
- Translational Research in Immunosenescence, Gerontology and Geriatrics (TRIGG) Group, Ghent University, Ghent, Belgium
- Department of Geriatrics, Ghent University Hospital, Ghent, Belgium
- Department of Internal Medicine and Paediatrics, Ghent University, Ghent, Belgium
| | - Aster Wakjira
- Translational Research in Immunosenescence, Gerontology and Geriatrics (TRIGG) Group, Ghent University, Ghent, Belgium
- Jimma University, School of Pharmacy, Jimma, Ethiopia
| | - Mirko Petrovic
- Department of Geriatrics, Ghent University Hospital, Ghent, Belgium
- Department of Internal Medicine and Paediatrics, Ghent University, Ghent, Belgium
| | - Evelien Wynendaele
- Translational Research in Immunosenescence, Gerontology and Geriatrics (TRIGG) Group, Ghent University, Ghent, Belgium
- Drug Quality and Registration (DruQuaR) group, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
| | - Bart De Spiegeleer
- Translational Research in Immunosenescence, Gerontology and Geriatrics (TRIGG) Group, Ghent University, Ghent, Belgium
- Drug Quality and Registration (DruQuaR) group, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
| | - Nele Van Den Noortgate
- Translational Research in Immunosenescence, Gerontology and Geriatrics (TRIGG) Group, Ghent University, Ghent, Belgium
- Department of Geriatrics, Ghent University Hospital, Ghent, Belgium
- Department of Internal Medicine and Paediatrics, Ghent University, Ghent, Belgium
| | - Reto W Kressig
- University Department of Geriatric Medicine FELIX PLATTER, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Roland Rössler
- University Department of Geriatric Medicine FELIX PLATTER, Basel, Switzerland.
- University of Basel, Basel, Switzerland.
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Li Y, Zhang T, Li M, Shen R, Wang X, Zhuo C, Wang Y, Yan F, Liu Z, Huang Y. Trajectories of intrinsic capacity decline and related factors in old persons: A 15-year community-based cohort study in Beijing. J Nutr Health Aging 2025; 29:100526. [PMID: 40048878 DOI: 10.1016/j.jnha.2025.100526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2024] [Revised: 02/18/2025] [Accepted: 02/19/2025] [Indexed: 05/06/2025]
Abstract
BACKGROUND Intrinsic capacity (IC) is vital to the World Health Organization's healthy ageing framework. This study aims to develop an IC assessment model, and identify its longitudinal trajectories and related factors in old persons. METHODS This was a 15-year three-wave prospective cohort study of the 10/66 dementia series researches in Beijing, China. Totally 2 156 community-dwelling old persons aged 65 years and over were included at baseline to develop an IC assessment model, with 474 completing follow-up surveys for IC trajectory identification. IC was assessed using 11 items of the five domains and bifactor-multidimensional item response theory model. The group-based trajectory model and multivariate logistic regression model were employed to identify longitudinal trajectories and related factors of IC. RESULTS Three IC trajectories were identified as low baseline IC with rapid descending trajectory (11.39%), medium baseline IC with moderate descending trajectory (75.53%), and high baseline IC with slight descending trajectory (13.08%). Compared to the "slight descending trajectory", aged 75 years and over (aOR: 9.48), female (aOR: 4.75), and unmarried/non-cohabiting (aOR: 4.73) were positively associated with the "rapid descending trajectory". Completed secondary school/higher education (aOR: 0.08; aOR: 0.27), more vegetables/fruits intake (aOR: 0.91; aOR: 0.94), and private restricted support network (aOR: 0.17; aOR: 0.37) were negatively associated with the "rapid descending trajectory" and "moderate descending trajectory". CONCLUSIONS Community-dwelling old persons in Beijing exhibit three IC trajectories, with the majority showing moderate descending trajectory. Interventions should address gender or education inequities and modifiable factors like diet and social support to mitigate IC decline.
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Affiliation(s)
- Yuanyuan Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Tingting Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Minghui Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Rui Shen
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Xiao Wang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Chuanjun Zhuo
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Ying Wang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Fang Yan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Zhaorui Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
| | - Yueqin Huang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
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Shang S, Cheng S, Qi L, Liu T, Yang Y, Yao X, Lu D, Cheng X, Yang J, Cheng M, Zhang Q. Effectiveness of HAPA-based multidomain fall risk management for older adults with declining intrinsic capacity in nursing homes: protocol of a randomised controlled trial. BMJ Open 2025; 15:e082702. [PMID: 40306996 PMCID: PMC12049901 DOI: 10.1136/bmjopen-2023-082702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 03/03/2025] [Indexed: 05/02/2025] Open
Abstract
INTRODUCTION Accidental falls are a common geriatric syndrome that hinders healthy ageing in older adults. Older adults who live in nursing homes (NHs) are at a greater risk of accidental falls than those who reside in communities. Intrinsic capacity (IC) decline has been shown to be an independent influencing factor for fall risk. Moreover, healthy behaviour is a prerequisite for IC. Therefore, this study considers IC as a starting point, with an aim of developing, implementing and evaluating a low-administration-cost multidomain fall risk management intervention programme based on the Health Action Process Approach. METHODS AND ANALYSIS The target population includes older adults with declining IC in Chinese NHs. A random lottery method will be adopted to divide the 100 participants into the control group and intervention group. The project will be conducted in three parts over 24 weeks. In the first part, a fall risk management intervention pathway and programme will be developed with the theoretical and IC framework, which will be refined via the Delphi method. In the second part, a randomised controlled trial will be implemented. The control group will receive usual care and health education, and the intervention group will complete a three-stage process to complete fall risk management behaviour intention and behaviour maintenance. In the third part, follow-up will be conducted to clarify the maintenance effectiveness of the programme in fall risk management. Behaviour change techniques and an interactive handbook will be used to increase the feasibility of the programme. The primary outcomes will include the IC composite score (cognition, locomotion, vitality, sensation and psychology) and fall risk. The secondary outcomes will include gait and balance, strength, fall efficacy, fall prevention self-management, fall management behaviour stages and healthy ageing. The outcomes will be assessed at baseline, and then after 4 weeks, 16 weeks and 24 weeks in both groups. The effectiveness of the intervention will be analysed via linear mixed models on a range of outcomes. ETHICS AND DISSEMINATION The trial was approved by the Huzhou University Committee (No.2023-06-06). The results will be submitted for publication in a peer-reviewed journal and presented at conferences. TRIAL REGISTRATION NUMBER NCT05891782.
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Affiliation(s)
- Siyi Shang
- Affiliated People's Hospital, Hangzhou Medical College, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang, China
- School of Medicine and Nursing Sciences, Huzhou University, Huzhou, Zhejiang, China
| | - Shengguang Cheng
- School of Medicine and Nursing Sciences, Huzhou University, Huzhou, Zhejiang, China
| | - Lingxia Qi
- School of Medicine and Nursing Sciences, Huzhou University, Huzhou, Zhejiang, China
| | - Tongtong Liu
- School of Medicine and Nursing Sciences, Huzhou University, Huzhou, Zhejiang, China
| | - Yuhan Yang
- School of Medicine and Nursing Sciences, Huzhou University, Huzhou, Zhejiang, China
| | - Xinuo Yao
- School of Medicine and Nursing Sciences, Huzhou University, Huzhou, Zhejiang, China
| | - Danyan Lu
- School of Medicine and Nursing Sciences, Huzhou University, Huzhou, Zhejiang, China
| | - Xiaoyu Cheng
- School of Medicine and Nursing Sciences, Huzhou University, Huzhou, Zhejiang, China
| | - Jing Yang
- Huzhou Social Welfare Center, Huzhou Rehabilitation Hospital, Huzhou, China
| | - Mei Cheng
- Huzhou Social Welfare Center, Huzhou Rehabilitation Hospital, Huzhou, China
| | - Qinghua Zhang
- School of Medicine and Nursing Sciences, Huzhou University, Huzhou, Zhejiang, China
- Huzhou Key Laboratory of Precise Prevention and Control of Major Chronic Diseases, Huzhou University, Huzhou, Zhejiang, China
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Sales WB, Silva PVDS, Vital BSB, Câmara M. Sarcopenia and intrinsic capacity in older adults: A systematic review. Arch Gerontol Geriatr 2025; 135:105875. [PMID: 40318296 DOI: 10.1016/j.archger.2025.105875] [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: 03/05/2025] [Revised: 04/13/2025] [Accepted: 04/26/2025] [Indexed: 05/07/2025]
Abstract
INTRODUCTION Sarcopenia and intrinsic capacity are closely linked factors that impact the health and functional aging of older adults. OBJECTIVE This systematic review aims to investigate the associations between the domains of IC and sarcopenia in older adults. MATERIAL AND METHODS The study follows PRISMA guidelines and is registered on PROSPERO. The review included original studies (cohort, cross-sectional, or randomized controlled trials) with participants aged 60+ diagnosed with sarcopenia (based on EWGSOP or other recognized definitions). Intrinsic capacity (IC) was assessed based on the five domains defined within the IC framework-cognition, locomotion, sensory, psychological, and vitality. The Integrated Care for Older People (ICOPE) approach developed by the World Health Organization supports the optimization of IC and functional ability through person-centred and coordinated care. Exclusion criteria included studies with insufficient data on sarcopenia prevalence and IC scores, as well as reviews or studies unrelated to sarcopenia or IC. RESULTS A total of 397 articles were identified, with 5 meeting the inclusion criteria. These studies, involving 6651 participants aged 60 to 82 years (54.8 % male, 45.2 % female), examined the association between sarcopenia and intrinsic capacity in older adults, using the diagnostic criteria for sarcopenia proposed by the EWGSOP and assessing IC based on its key components. Despite the limited number of studies, the findings suggest a significant link between declining intrinsic capacity and sarcopenia. FINAL CONSIDERATIONS These results underscore the importance of a multifactorial approach in assessing and managing sarcopenia, which may improve early detection and support healthy aging.
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Affiliation(s)
- Weslley Barbosa Sales
- Graduate Program in Physical Therapy, Federal University of Rio Grande do Norte, Natal, Brazil.
| | | | - Bianca Stephany Barbosa Vital
- Graduate Program in Speech-Language Pathology and Audiology, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Marcyo Câmara
- Department of Physical Education, Federal University of Rio Grande do Norte, Natal, Brazil
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Liu Y, Zhao Y, Zhang L, Liu J, Wang J, Feng W, Shan P, Tian S, Jia C, Zhu Y. Effects of S-ketamine on recovery quality in elderly patients with impaired intrinsic capacity after total knee arthroplasty: a single-centre, randomised, double-blind, placebo-controlled study protocol. BMJ Open 2025; 15:e094060. [PMID: 40280614 PMCID: PMC12035459 DOI: 10.1136/bmjopen-2024-094060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2024] [Accepted: 04/04/2025] [Indexed: 04/29/2025] Open
Abstract
INTRODUCTION Elderly patients with impaired intrinsic capacity are at increased risk for delayed or suboptimal recovery from surgery. S-ketamine has been proven to improve postoperative recovery quality. However, limited trials are studying the postoperative recovery quality in elderly patients with impaired intrinsic capacity. Therefore, the objective of this study was to evaluate the impact of S-ketamine on the quality of recovery in elderly patients with impaired intrinsic capacity following total knee arthroplasty. METHODS AND ANALYSIS This is a single-centre, randomised, double-blind, placebo-controlled trial. Participants undergoing total knee arthroplasty will be randomly assigned in a 1:1 ratio to either the S-ketamine group (n=80) or the placebo group (n=80). The S-ketamine group will undergo an intravenous infusion of S-ketamine administered at a dosage rate of 0.2 mg·kg⁻1·h⁻1 for 1 hour. The placebo group will receive an intravenous saline infusion at an identical rate and duration. Postoperatively, the S-ketamine group will continuously infuse S-ketamine for 48 hours using a patient-controlled intravenous device, with a fixed rate of 0.01 mg·kg⁻¹·h⁻¹, a bolus dose of 0.02 mg·kg⁻¹, a lockout period of 10 min and a maximum infusion rate of 0.13 mg·kg⁻¹·h⁻¹. In contrast, the patient-controlled intravenous device for the placebo group will not contain S-ketamine. The primary outcome is the quality of recovery scores at 24 hours following total knee arthroplasty. Secondary outcomes encompass quality of recovery scores at 48 and 72 hours postoperatively, pain scores at rest and during movement, oral morphine equivalents, sleep quality assessments, depression scores, the Barthel Index and the time to meet discharge criteria. ETHICS AND DISSEMINATION Approval for the trial was granted by the Medical Ethics Committee of The Affiliated Hospital of Qingdao University (QYFYEC2024-74). Written informed consent will be obtained from each patient before enrolment. The results of this trial will be presented at scientific conferences and in peer--reviewed scientific journals. TRIAL REGISTRATION NUMBER ChiCTR2400087028.
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Affiliation(s)
- Yuefang Liu
- Department of Anesthesiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Yang Zhao
- Department of Anesthesiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Lei Zhang
- Department of Anesthesiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Jia Liu
- Department of Anesthesiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Jirun Wang
- Department of Anesthesiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Wei Feng
- Department of Anesthesiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Peipei Shan
- Institute of Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Shaoqi Tian
- Department of Joint Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Changxin Jia
- Department of Anesthesiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Youzhuang Zhu
- Department of Anesthesiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
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Weng B, Jin J, Huang L, Jiao W, Wang M, Zhang X, Tong X, Li Y. Intrinsic Capacity Deficits and 6-Month Outcomes in Older Adults with Acute LRTIs: A Multi-Center Study. Clin Interv Aging 2025; 20:471-482. [PMID: 40291163 PMCID: PMC12034263 DOI: 10.2147/cia.s501592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2024] [Accepted: 04/14/2025] [Indexed: 04/30/2025] Open
Abstract
Objective Intrinsic capacity (IC), representing an individual's physical and mental abilities, is associated with adverse outcomes. Acute lower respiratory tract infections (LRTIs) contribute to poor long-term prognosis, yet effective assessment and intervention strategies remain limited. Given the critical role of IC in the aging population, understanding its prevalence and impact in older adults with LRTIs is crucial for improving management strategies. This study aims to characterize the domains and patterns of IC deficits and assess their influence on 6-month mortality and re-hospitalization in this population. Methods This was a multi-center prospective cohort study conducted in China. Patients aged over 65 years hospitalized for acute LRTIs were consecutively enrolled and underwent IC evaluations upon admission between April 15, 2021, and January 15, 2023. Outcomes included 6-month mortality and re-hospitalization. Latent class analysis identified patterns of IC deficits, and multivariable logistic regression models assessed associations between IC deficit domains/patterns and adverse outcomes. Results A total of 1,001 older patients were included, with a mean age of 76 years (IQR: 69-84). Most of (839, 83.8%) the patients had at least one IC domain deficit. The 6-month re-hospitalization and mortality rates were 20.7% (190/933) and 7.7% (70/914). More domains of IC deficits, particularly in cognition (OR 1.873) and vitality (OR 1.737) deficits were associated with increased 6-month re-hospitalization rates. Three distinct IC deficit patterns were identified: relatively robust (73.5%), limited vitality and locomotion (18.6%), and impaired cognition, vision, and hearing group (7.9%). Compared to the relatively robust group, the limited vitality and locomotion group had a significantly higher risk of re-hospitalization (OR 2.025, 95% CI 1.388-2.932). Conclusion IC deficits were prevalent and associated with increased re-hospitalization in older adults with LRTIs. Early detection and targeted interventions may reduce re-hospitalization rates and improve patient outcomes.
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Affiliation(s)
- Bingxuan Weng
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
- Peking University Fifth School of Clinical Medicine, Beijing, People’s Republic of China
| | - Jin Jin
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | - Lixue Huang
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | - Wenshu Jiao
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | - Mengyuan Wang
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | - Xinyue Zhang
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | - Xunliang Tong
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | - Yanming Li
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
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8
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Manning J, Heselton HJ, Venema DM, Boron JB, Yentes JM. Defining the concept of physical resilience and quantifying recovery during standing balance in middle-aged and older adults. Sci Rep 2025; 15:7988. [PMID: 40055421 PMCID: PMC11889150 DOI: 10.1038/s41598-025-92746-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 03/03/2025] [Indexed: 05/13/2025] Open
Abstract
Physical resilience is the ability to recover from an external perturbation, an integral aspect of functional adaptability and healthy behavior. Techniques that quantify behavior over multiple time scales offer a solution to quantifying resilience. As people age, they tend to lose functional adaptability and resilience. However, age-related declines in resilience between middle-aged and older adults is unclear. This study compared the difference in the ability to recover to baseline following standing balance perturbations between middle-aged and older adults, and between those that do or do not recover to baseline. Thirty-eight middle-aged and thirty-one older adults stood on a force platform during five, 60-sec trials. The platform moved posteriorly a specified distance during each trial (2.54 to 12.7 cm). Detrended fluctuation analysis (DFA) was calculated on anteroposterior center of pressure with moving windows of five seconds. Baseline DFA alpha (BA) was obtained by averaging windows before the perturbation. Directly after the perturbation, windows were analyzed until the DFA recovered within a set criterion of BA, called recovery Alpha (RA). If DFA didn't meet the criterion, DFA of the last window was taken as the RA. Trials were coded as recovery and non-recovery. There was a significant interaction between age and Recover or No recovery on RA. Older adult non-recoverers had a significantly lower RA than middle-aged adults and older adult recoverers. Older adults who did not recover to baseline exhibited less persistent sway, evidenced by decreases in RA. Older adult non-recoverers demonstrating decreased DFA indicates decreased resilience.
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Affiliation(s)
- John Manning
- Department of Kinesiology & Sport Management, Texas A&M University, College Station, TX, USA
| | | | - Dawn M Venema
- Department of Health and Rehabilitation Sciences, College of Allied Health Professions, University of Nebraska Medical Center, Omaha, NE, USA
| | - Julie B Boron
- Department of Gerontology, University of Nebraska at Omaha, Omaha, NE, USA
| | - Jennifer M Yentes
- Department of Kinesiology & Sport Management, Texas A&M University, College Station, TX, USA.
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Fierro-Marrero J, Reina-Varona Á, Paris-Alemany A, La Touche R. Frailty in Geriatrics: A Critical Review with Content Analysis of Instruments, Overlapping Constructs, and Challenges in Diagnosis and Prognostic Precision. J Clin Med 2025; 14:1808. [PMID: 40142616 PMCID: PMC11943423 DOI: 10.3390/jcm14061808] [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: 01/18/2025] [Revised: 02/24/2025] [Accepted: 03/04/2025] [Indexed: 03/28/2025] Open
Abstract
Frailty is a key concept in geriatric care; yet its definition and assessment remain debated. Since the early 2000s, two main models have emerged: the Fried frailty phenotype, focusing on physical deficits, and the Mitnitski frailty index, which incorporates broader health factors. These divergent approaches have led to over 50 frailty instruments, reflecting the absence of a unified framework. This review explores the content, weighting, and scoring methods of frailty instruments, identifying potential concerns derived from this. This review exposes the overlap of frailty with other constructs including function, disability, morbidity, and sarcopenia. Many instruments lack content validity, and detect highly heterogeneous samples within and between scales, all labeled under the "frail" tag. This poses challenges to interpreting instrument responsiveness. In addition, frailty should not be considered a clinical entity with a unique etiology. This review discusses how the broad nature of frailty conflicts with modern paradigms of individualization and precision. They may be useful in primary care, but lack the specificity for secondary care evaluations. This article also discusses how the predictive validity of frailty should be interpreted with caution. Finally, we summarize our findings and propose a new definition of frailty, highlighting the strengths and weaknesses of the construct. The identified inconsistencies should serve as a guide for refining the concept of frailty, both in research and in its application to geriatric care.
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Affiliation(s)
- José Fierro-Marrero
- Department of Physiotherapy, Centro Superior de Estudios Universitarios La Salle, Universidad Autónoma de Madrid, 28023 Madrid, Spain; (J.F.-M.); (Á.R.-V.); (R.L.T.)
- Motion in Brains Research Group, Centro Superior de Estudios Universitarios La Salle, Universidad Autónoma de Madrid, 28023 Madrid, Spain
- PhD Program in Medicine and Surgery, Doctoral School, Universidad Autónoma de Madrid, 28029 Madrid, Spain
| | - Álvaro Reina-Varona
- Department of Physiotherapy, Centro Superior de Estudios Universitarios La Salle, Universidad Autónoma de Madrid, 28023 Madrid, Spain; (J.F.-M.); (Á.R.-V.); (R.L.T.)
- Motion in Brains Research Group, Centro Superior de Estudios Universitarios La Salle, Universidad Autónoma de Madrid, 28023 Madrid, Spain
| | - Alba Paris-Alemany
- Motion in Brains Research Group, Centro Superior de Estudios Universitarios La Salle, Universidad Autónoma de Madrid, 28023 Madrid, Spain
- PhD Program in Medicine and Surgery, Doctoral School, Universidad Autónoma de Madrid, 28029 Madrid, Spain
- Department of Radiology, Rehabilitation and Physiotherapy, Faculty of Nursery, Physiotherapy and Podiatry, Complutense University of Madrid, 28040 Madrid, Spain
- Instituto de Dolor Craneofacial y Neuromusculoesquelético (INDCRAN), 28008 Madrid, Spain
| | - Roy La Touche
- Department of Physiotherapy, Centro Superior de Estudios Universitarios La Salle, Universidad Autónoma de Madrid, 28023 Madrid, Spain; (J.F.-M.); (Á.R.-V.); (R.L.T.)
- Motion in Brains Research Group, Centro Superior de Estudios Universitarios La Salle, Universidad Autónoma de Madrid, 28023 Madrid, Spain
- PhD Program in Medicine and Surgery, Doctoral School, Universidad Autónoma de Madrid, 28029 Madrid, Spain
- Instituto de Dolor Craneofacial y Neuromusculoesquelético (INDCRAN), 28008 Madrid, Spain
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10
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Yuan Q, Yue X, Wang M, Yang F, Fu M, Liu M, Hu C. Association between pain, sleep and intrinsic capacity in Chinese older adults: Evidence from CHARLS. J Nutr Health Aging 2025; 29:100466. [PMID: 39742576 DOI: 10.1016/j.jnha.2024.100466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Revised: 12/17/2024] [Accepted: 12/17/2024] [Indexed: 01/03/2025]
Abstract
OBJECTIVES To examine the relationship between pain, sleep, and intrinsic capacity (IC). DESIGN A cohort study. SETTING AND PARTICIPANTS Data were obtained from participants in China Health and Retirement Longitudinal Study (CHARLS) 2011-2015. The study population consisted of older adults who completed assessments on pain, sleep duration, sleep quality and IC at baseline. MEASUREMENTS Pain, sleep duration, and sleep quality were assessed through self-reports from participants. The total IC score was derived from five domains: psychological, sensory, cognitive, locomotor, and vitality. The relationships between pain, sleep duration, sleep quality and IC were analyzed using linear mixed models. The relationship between sleep duration and IC was analyzed using quadratic analysis. Stratified analyses by gender and age were also performed. RESULTS A total of 3517 participants were included in the analysis. After adjusting for all covariates, single-site pain (β = -0.29, 95% confidence interval [CI] = -0.38 to -0.20) and multisite pain (β = -0.41, 95% CI = -0.48 to -0.34) were significantly associated with a decrease in IC compared with older adults without pain; long sleep duration (β = -0.15, 95% CI = -0.24 to -0.06) was significantly associated with a decrease in IC compared with older adults with moderate sleep duration; and poor sleep quality (β = -0.63, 95% CI = -0.71 to -0.55) and fair sleep quality (β = -0.33, 95% CI = -0.40 to -0.27) were significantly associated with a decrease in IC compared with older adults with good sleep quality. CONCLUSION To maintain IC, it is important to ensure approximately 7.5 h of sleep duration, improve sleep quality, and manage pain. Interventions should begin as early as possible.
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Affiliation(s)
- Quan Yuan
- Department of Geriatric Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, WuHan, China
| | - Xiao Yue
- Department of Geriatric Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Nursing Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, WuHan, China
| | - Mei Wang
- Department of Geriatric Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Nursing Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, WuHan, China
| | - Fenghua Yang
- Phase I Clinical Research Center, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Maoling Fu
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, WuHan, China
| | - Mengwan Liu
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, WuHan, China
| | - Cuihuan Hu
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, WuHan, China.
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11
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Mather RV, Nipp R, Balanza G, Stone TAD, Gutierrez R, Raje P, Higuchi M, Liu R, Santa Cruz Mercado LA, Bittner EA, Kunitake H, Purdon PL. Intraoperative Frontal Electroencephalogram Alpha Power Is Associated with Postoperative Mortality and Other Adverse Outcomes. Anesthesiology 2025; 142:500-510. [PMID: 39601585 PMCID: PMC11801448 DOI: 10.1097/aln.0000000000005315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2024] [Accepted: 11/20/2024] [Indexed: 11/29/2024]
Abstract
BACKGROUND With estimated global postoperative mortality rates at 1% to 4% leading to approximately 3 million to 12 million deaths per year, an urgent need exists for reliable measures of perioperative risk. Existing approaches suffer from poor performance, place a high burden on clinicians to gather data, or do not incorporate intraoperative data. Previous work demonstrated that intraoperative anesthetics induce prefrontal electroencephalogram (EEG) oscillations in the alpha band (8 to 12 Hz) that correlate with postoperative cognitive outcomes. METHODS The authors analyzed a retrospective cohort of 1,081 patients undergoing surgery with general anesthesia at Massachusetts General Hospital (Boston, Massachusetts) with intraoperative EEG recordings. The association between EEG alpha power and adverse outcomes was characterized using statistical models that were fitted on propensity weighted data. The primary outcome was postoperative mortality, measured from date of surgery to date of death or last follow-up. Secondary outcomes included mortality within prespecified time windows (30 days, 90 days, 180 days, and 1 yr), hospital and postanesthesia care unit lengths of stay, discharge to long-term care, and 30-day hospital readmission. RESULTS Alpha power was associated with mortality risk (hazard ratio, 0.92; 95% CI, 0.85 to 0.99; P = 0.039). Within specified time windows, alpha power was associated with 30-day mortality (odds ratio, 0.81; 95% CI, 0.66 to 0.95; P = 0.010), 90-day mortality (odds ratio, 0.68; 95% CI, 0.55 to 0.79; P < 0.001), 180-day mortality (odds ratio, 0.75; 95% CI, 0.66 to 0.83; P < 0.001), and 1-yr mortality (odds ratio, 0.85; 95% CI, 0.79 to 0.91; P < 0.001). Additionally, alpha power was associated with discharge to long-term care (odds ratio, 0.91; 95% CI, 0.86 to 0.96; P < 0.001). We did not find significant associations among alpha power and 30-day readmission and hospital or postanesthesia care unit lengths of stay. CONCLUSIONS Intraoperative EEG alpha power is independently associated with postoperative mortality and adverse outcomes, suggesting it could represent a broad measure of postoperative physical resilience and provide clinicians with a low-burden, personalized measure of postoperative risk.
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Affiliation(s)
- Rory Vu Mather
- Harvard/MIT MD-PhD Program, Boston, Massachusetts; Harvard-MIT Program in Health Sciences and Technology, Cambridge, Massachusetts; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts; Department of Anesthesia, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, California
| | - Ryan Nipp
- Section of Hematology/Oncology, Department of Internal Medicine, University of Oklahoma, Health Sciences Center, Stephenson Cancer Center, Oklahoma City, Oklahoma
| | - Gustavo Balanza
- Department of Anesthesia, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, California
| | - Tom A. D. Stone
- Department of Anesthesia, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, California; Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts
| | - Rodrigo Gutierrez
- Department of Anesthesia, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, California; Department of Anesthesia and Perioperative Medicine, University of Chile, Santiago, Chile
| | - Praachi Raje
- Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts
| | - Masaya Higuchi
- Department of Medicine, Division of Palliative Care and Geriatric Medicine, Massachusetts General Hospital, Boston, Massachusetts; Department of Neurosurgery, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Ran Liu
- Department of Anesthesia, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, California
| | - Laura A. Santa Cruz Mercado
- Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Hospital, Boston, Massachusetts
| | - Edward A. Bittner
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Hiroko Kunitake
- Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts
| | - Patrick L. Purdon
- Department of Anesthesia, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, California
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12
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Godos J, Guglielmetti M, Ferraris C, Frias-Toral E, Domínguez Azpíroz I, Lipari V, Di Mauro A, Furnari F, Castellano S, Galvano F, Iacoviello L, Bonaccio M, Grosso G. Mediterranean Diet and Quality of Life in Adults: A Systematic Review. Nutrients 2025; 17:577. [PMID: 39940436 PMCID: PMC11819740 DOI: 10.3390/nu17030577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2024] [Revised: 01/31/2025] [Accepted: 02/03/2025] [Indexed: 02/16/2025] Open
Abstract
BACKGROUND/OBJECTIVES With the increasing life expectancy and, as a result, the aging of the global population, there has been a rise in the prevalence of chronic conditions, which can significantly impact individuals' health-related quality of life, a multidimensional concept that comprises an individual's physical, mental, and social wellbeing. While a balanced, nutrient-dense diet, such as Mediterranean diet, is widely recognized for its role in chronic disease prevention, particularly in reducing the risk of cardiovascular diseases and certain cancers, its potential benefits extend beyond these well-known effects, showing promise in improving physical and mental wellbeing, and promoting health-related quality of life. METHODS A systematic search of the scientific literature in electronic databases (Pubmed/Medline) was performed to identify potentially eligible studies reporting on the relation between adherence to the Mediterranean diet and health-related quality of life, published up to December 2024. RESULTS A total of 28 studies were included in this systematic review, comprising 13 studies conducted among the general population and 15 studies involving various types of patients. Overall, most studies showed a significant association between adherence to the Mediterranean diet and HRQoL, with the most significant results retrieved for physical domains of quality of life, suggesting that diet seems to play a relevant role in both the general population and people affected by chronic conditions with an inflammatory basis. CONCLUSIONS Adherence to the Mediterranean diet provides significant benefits in preventing and managing various chronic diseases commonly associated with aging populations. Furthermore, it enhances the overall health and quality of life of aging individuals, ultimately supporting more effective and less invasive treatment approaches for chronic diseases.
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Affiliation(s)
- Justyna Godos
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
- Center for Human Nutrition and Mediterranean Foods (NUTREA), University of Catania, 95123 Catania, Italy
| | - Monica Guglielmetti
- Human Nutrition and Eating Disorder Research Center, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
- Laboratory of Food Education and Sport Nutrition, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
| | - Cinzia Ferraris
- Human Nutrition and Eating Disorder Research Center, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
- Laboratory of Food Education and Sport Nutrition, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
| | - Evelyn Frias-Toral
- School of Medicine, Universidad Espíritu Santo, Samborondón 0901952, Ecuador
| | - Irma Domínguez Azpíroz
- Research Group on Food, Nutritional Biochemistry and Health, Universidad Europea del Atlántico, Isabel Torres 21, 39011 Santander, Spain
- Universidade Internacional do Cuanza, Cuito EN250, Angola
- Universidad de La Romana, La Romana 22000, Dominican Republic
| | - Vivian Lipari
- Research Group on Food, Nutritional Biochemistry and Health, Universidad Europea del Atlántico, Isabel Torres 21, 39011 Santander, Spain
- Universidad de La Romana, La Romana 22000, Dominican Republic
- Universidad Internacional Iberoamericana, Campeche 24560, Mexico
| | - Andrea Di Mauro
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
| | - Fabrizio Furnari
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
| | - Sabrina Castellano
- Department of Educational Sciences, University of Catania, 95124 Catania, Italy
| | - Fabio Galvano
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
- Center for Human Nutrition and Mediterranean Foods (NUTREA), University of Catania, 95123 Catania, Italy
| | - Licia Iacoviello
- Research Unit of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo NEUROMED, 86077 Pozzilli, Italy
- Department of Medicine and Surgery, LUM University, 70010 Casamassima, Italy
| | - Marialaura Bonaccio
- Research Unit of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo NEUROMED, 86077 Pozzilli, Italy
| | - Giuseppe Grosso
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
- Center for Human Nutrition and Mediterranean Foods (NUTREA), University of Catania, 95123 Catania, Italy
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13
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Izquierdo M, de Souto Barreto P, Arai H, Bischoff-Ferrari HA, Cadore EL, Cesari M, Chen LK, Coen PM, Courneya KS, Duque G, Ferrucci L, Fielding RA, García-Hermoso A, Gutiérrez-Robledo LM, Harridge SDR, Kirk B, Kritchevsky S, Landi F, Lazarus N, Liu-Ambrose T, Marzetti E, Merchant RA, Morley JE, Pitkälä KH, Ramírez-Vélez R, Rodriguez-Mañas L, Rolland Y, Ruiz JG, Sáez de Asteasu ML, Villareal DT, Waters DL, Won Won C, Vellas B, Fiatarone Singh MA. Global consensus on optimal exercise recommendations for enhancing healthy longevity in older adults (ICFSR). J Nutr Health Aging 2025; 29:100401. [PMID: 39743381 PMCID: PMC11812118 DOI: 10.1016/j.jnha.2024.100401] [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: 09/16/2024] [Revised: 10/14/2024] [Accepted: 10/15/2024] [Indexed: 01/04/2025]
Abstract
Aging, a universal and inevitable process, is characterized by a progressive accumulation of physiological alterations and functional decline over time, leading to increased vulnerability to diseases and ultimately mortality as age advances. Lifestyle factors, notably physical activity (PA) and exercise, significantly modulate aging phenotypes. Physical activity and exercise can prevent or ameliorate lifestyle-related diseases, extend health span, enhance physical function, and reduce the burden of non-communicable chronic diseases including cardiometabolic disease, cancer, musculoskeletal and neurological conditions, and chronic respiratory diseases as well as premature mortality. Physical activity influences the cellular and molecular drivers of biological aging, slowing aging rates-a foundational aspect of geroscience. Thus, PA serves both as preventive medicine and therapeutic agent in pathological states. Sub-optimal PA levels correlate with increased disease prevalence in aging populations. Structured exercise prescriptions should therefore be customized and monitored like any other medical treatment, considering the dose-response relationships and specific adaptations necessary for intended outcomes. Current guidelines recommend a multifaceted exercise regimen that includes aerobic, resistance, balance, and flexibility training through structured and incidental (integrated lifestyle) activities. Tailored exercise programs have proven effective in helping older adults maintain their functional capacities, extending their health span, and enhancing their quality of life. Particularly important are anabolic exercises, such as Progressive resistance training (PRT), which are indispensable for maintaining or improving functional capacity in older adults, particularly those with frailty, sarcopenia or osteoporosis, or those hospitalized or in residential aged care. Multicomponent exercise interventions that include cognitive tasks significantly enhance the hallmarks of frailty (low body mass, strength, mobility, PA level, and energy) and cognitive function, thus preventing falls and optimizing functional capacity during aging. Importantly, PA/exercise displays dose-response characteristics and varies between individuals, necessitating personalized modalities tailored to specific medical conditions. Precision in exercise prescriptions remains a significant area of further research, given the global impact of aging and broad effects of PA. Economic analyses underscore the cost benefits of exercise programs, justifying broader integration into health care for older adults. However, despite these benefits, exercise is far from fully integrated into medical practice for older people. Many healthcare professionals, including geriatricians, need more training to incorporate exercise directly into patient care, whether in settings including hospitals, outpatient clinics, or residential care. Education about the use of exercise as isolated or adjunctive treatment for geriatric syndromes and chronic diseases would do much to ease the problems of polypharmacy and widespread prescription of potentially inappropriate medications. This intersection of prescriptive practices and PA/exercise offers a promising approach to enhance the well-being of older adults. An integrated strategy that combines exercise prescriptions with pharmacotherapy would optimize the vitality and functional independence of older people whilst minimizing adverse drug reactions. This consensus provides the rationale for the integration of PA into health promotion, disease prevention, and management strategies for older adults. Guidelines are included for specific modalities and dosages of exercise with proven efficacy in randomized controlled trials. Descriptions of the beneficial physiological changes, attenuation of aging phenotypes, and role of exercise in chronic disease and disability management in older adults are provided. The use of exercise in cardiometabolic disease, cancer, musculoskeletal conditions, frailty, sarcopenia, and neuropsychological health is emphasized. Recommendations to bridge existing knowledge and implementation gaps and fully integrate PA into the mainstream of geriatric care are provided. Particular attention is paid to the need for personalized medicine as it applies to exercise and geroscience, given the inter-individual variability in adaptation to exercise demonstrated in older adult cohorts. Overall, this consensus provides a foundation for applying and extending the current knowledge base of exercise as medicine for an aging population to optimize health span and quality of life.
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Affiliation(s)
- Mikel Izquierdo
- Navarrabiomed, Hospital Universitario de Navarra (CHN)-Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain; CIBER of Frailty and Healthy Ageing (CIBERFES), Instituto de Salud Carlos III Madrid, Spain.
| | - Philipe de Souto Barreto
- IHU HealthAge, Gérontopôle de Toulouse, Institut du Vieillissement, Centre Hospitalo-Universitaire de Toulouse, Toulouse, France; CERPOP, UPS/Inserm 1295, Toulouse, France
| | - Hidenori Arai
- National Center for Geriatrics and Gerontology, Obu, Japan
| | - Heike A Bischoff-Ferrari
- Department of Geriatrics and Aging Research, Research Centre on Aging and Mobility, University of Zurich, Zurich, Switzerland
| | - Eduardo L Cadore
- Exercise Research Laboratory, School of Physical Education, Physiotherapy and Dance, Universidade Federal do Rio Grande do Sul, Brazil
| | - Matteo Cesari
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Liang-Kung Chen
- Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei Municipal Gab-Dau Hospital, Taipei, Taiwan
| | - Paul M Coen
- AdventHealth Orlando, Translational Research Institute, Orlando, Florida, United States
| | - Kerry S Courneya
- Faculty of Kinesiology, Sport, and Recreation, College of Health Sciences, University of Alberta, Edmonton, Alberta T6G 2H9, Canada
| | - Gustavo Duque
- Bone, Muscle & Geroscience Group, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Luigi Ferrucci
- National Institute on Aging, Baltimore, MD, United States
| | - Roger A Fielding
- Nutrition, Exercise Physiology, and Sarcopenia Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111, United States
| | - Antonio García-Hermoso
- Navarrabiomed, Hospital Universitario de Navarra (CHN)-Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain; CIBER of Frailty and Healthy Ageing (CIBERFES), Instituto de Salud Carlos III Madrid, Spain
| | | | - Stephen D R Harridge
- Centre for Human and Applied Physiological Sciences, King's College London, United Kingdom
| | - Ben Kirk
- Department of Medicine-Western Health, Melbourne Medical School, University of Melbourne, St. Albans, Melbourne, VIC, Australia
| | - Stephen Kritchevsky
- Sticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Francesco Landi
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy
| | - Norman Lazarus
- Centre for Human and Applied Physiological Sciences, King's College London, United Kingdom
| | - Teresa Liu-Ambrose
- Aging, Mobility, and Cognitive Health Laboratory, Department of Physical Therapy, Faculty of Medicine, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Centre for Aging SMART at Vancouver Coastal Health, Vancouver Coastal Health Research Institute,Vancouver, BC, Canada
| | - Emanuele Marzetti
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy
| | - Reshma A Merchant
- Division of Geriatric Medicine, Department of Medicine, National University Hospital, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | - John E Morley
- Saint Louis University School of Medicine, St. Louis, MO, United States
| | - Kaisu H Pitkälä
- University of Helsinki and Helsinki University Hospital, PO Box 20, 00029 Helsinki, Finland
| | - Robinson Ramírez-Vélez
- Navarrabiomed, Hospital Universitario de Navarra (CHN)-Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain; CIBER of Frailty and Healthy Ageing (CIBERFES), Instituto de Salud Carlos III Madrid, Spain
| | - Leocadio Rodriguez-Mañas
- CIBER of Frailty and Healthy Ageing (CIBERFES), Instituto de Salud Carlos III Madrid, Spain; Geriatric Service, University Hospital of Getafe, Getafe, Spain
| | - Yves Rolland
- IHU HealthAge, Gérontopôle de Toulouse, Institut du Vieillissement, Centre Hospitalo-Universitaire de Toulouse, Toulouse, France; CERPOP, UPS/Inserm 1295, Toulouse, France
| | - Jorge G Ruiz
- Memorial Healthcare System, Hollywood, Florida and Florida Atlantic University Charles E. Schmidt College of Medicine, Boca Raton, Florida, United States
| | - Mikel L Sáez de Asteasu
- Navarrabiomed, Hospital Universitario de Navarra (CHN)-Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain; CIBER of Frailty and Healthy Ageing (CIBERFES), Instituto de Salud Carlos III Madrid, Spain
| | - Dennis T Villareal
- Baylor College of Medicine, and Center for Translational Research on Inflammatory Diseases, Michael E DeBakey VA Medical Center, Houston, Texas, United States
| | - Debra L Waters
- Department of Medicine, School of Physiotherapy, University of Otago, Dunedin; Department of Internal Medicine/Geriatrics, University of New Mexico, Albuquerque, Mexico
| | - Chang Won Won
- Elderly Frailty Research Center, Department of Family Medicine, College of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Bruno Vellas
- IHU HealthAge, Gérontopôle de Toulouse, Institut du Vieillissement, Centre Hospitalo-Universitaire de Toulouse, Toulouse, France; CERPOP, UPS/Inserm 1295, Toulouse, France
| | - Maria A Fiatarone Singh
- Faculty of Medicine and Health, School of Health Sciences and Sydney Medical School, University of Sydney, New South Wales, Australia, and Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Roslindale, MA, United States
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14
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Ma L, Zheng E, Fang Y, Chen H, Cai S, Luo F, Jiang W, Li Z, Wang J, Zhou C, Zhu L, Yin Z. Intrinsic capacity loss rates and protective factors among individuals aged 80 years and older in Chinese nursing homes: A latent class analysis. Geriatr Nurs 2024; 60:42-51. [PMID: 39217841 DOI: 10.1016/j.gerinurse.2024.08.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 08/02/2024] [Accepted: 08/19/2024] [Indexed: 09/04/2024]
Abstract
Prior to this cross-sectional study, the intrinsic capacity (IC) loss rates and protective factors in nursing homes for individuals aged 80 and older remained unexplored. Analysing 434 participants, this study found 86.9 % of individuals experienced the loss of at least one IC domain, with detailed losses in locomotion, vision, vitality, hearing, psychological, and cognitive capacities at rates of 83.2 %, 52.8 %, 50.9 %, 46.5 %, 44.9 %, and 44.0 %, respectively. Following latent class analysis (LCA), five distinct IC impairment patterns were noted, with locomotor impairment emerging as a central component across most classes. IC protective factors for persons aged 80 years and older included financial stability, being male or younger within the cohort, junior high school or higher education, being married, no smoking history, manageable comorbidity levels, minimal medication use, good sleep, and not using assistive devices. Based on these five classes, this study provides a potential practical framework alongside recommendations for IC care strategies in the oldest-old, emphasising the importance of locomotor function in maintaining the overall IC.
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Affiliation(s)
- Linlin Ma
- School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China.
| | - Enjie Zheng
- Department of Nursing, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yi Fang
- School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Huixian Chen
- School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Shuya Cai
- School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Fen Luo
- School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Wen Jiang
- School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zhi Li
- School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jialu Wang
- School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Chuncong Zhou
- Department of Nursing, Naval Hospital of Eastern Theater, Zhoushan, Zhejiang, China
| | - Lijuan Zhu
- Department of Nursing, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Zhiqin Yin
- School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China; Wenzhou Health Promotion Research Center, Wenzhou, Zhejiang, China.
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15
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Metoyer GT, Ali Asgar J, D'Adamo CR, Wolf JH, Katlic M, Svoboda S, Mavanur A. The modified frailty index predicts postoperative venous thromboembolism incidence better than older age in colorectal surgery patients. Am J Surg 2024; 236:115450. [PMID: 37802702 DOI: 10.1016/j.amjsurg.2023.09.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 09/07/2023] [Accepted: 09/11/2023] [Indexed: 10/08/2023]
Affiliation(s)
- Garyn T Metoyer
- Department of Surgery, Sinai Hospital, 2401 W Belvedere Ave, Baltimore, MD, 21215, USA.
| | - Juzer Ali Asgar
- Department of Surgery, Sinai Hospital, 2401 W Belvedere Ave, Baltimore, MD, 21215, USA; University of Medicine and Health Sciences, 275 7th Ave 26th Floor, New York, NY, 10001, USA.
| | - Christopher R D'Adamo
- Department of Family and Community Medicine, University of Maryland School of Medicine, Center for Integrative Medicine, 655 W. Baltimore Street, Baltimore, MD, 21201, USA.
| | - Joshua H Wolf
- Department of Surgery, Sinai Hospital, 2401 W Belvedere Ave, Baltimore, MD, 21215, USA; Department of Surgery, George Washington University, 2150 Pennsylvania Avenue NW, Washington, DC, 20037, USA.
| | - Mark Katlic
- Department of Surgery, Sinai Hospital, 2401 W Belvedere Ave, Baltimore, MD, 21215, USA; Department of Surgery, George Washington University, 2150 Pennsylvania Avenue NW, Washington, DC, 20037, USA.
| | - Shane Svoboda
- Department of Surgery, Sinai Hospital, 2401 W Belvedere Ave, Baltimore, MD, 21215, USA.
| | - Arun Mavanur
- Department of Surgery, Sinai Hospital, 2401 W Belvedere Ave, Baltimore, MD, 21215, USA; Department of Surgery, The Johns Hopkins Hospital, 1800 Orleans St, Baltimore, MD, 21287, USA.
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16
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Chang Y, Sapkota S, Thapa B, Ma L, Sheng L, Wang C, Chhetri JK, Chan P. Development and validation of a functional ability index for older adults: a multicohort study. Age Ageing 2024; 53:afae231. [PMID: 39428618 DOI: 10.1093/ageing/afae231] [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: 04/16/2024] [Indexed: 10/22/2024] Open
Abstract
BACKGROUND The aim of this study was to develop and validate a functional ability index (FAI) that incorporates aspects of intrinsic capacity and environmental factors of older individuals based on the World Health Organization framework of healthy ageing. METHODS Data of 7016 participants ≥60 years participating in the baseline survey of China Health and Retirement Longitudinal Study was used for the development and internal validation of the FAI. External validation was performed in a separate cohort of 1295 older individuals aged ≥60 years. Functional independency was considered the primary outcome and additional proxies of healthy ageing were considered as secondary outcomes. Cluster dendrogram was used to identify the distinct hierarchical clusters of all included variables for inclusion in the FAI. Backward elimination logistic regression model was implemented to identify the most significant variables associated with independency to be included in the FAI. RESULTS The FAI score ranged from 0 to 19 and individuals having FAI ≥ 12 were more likely to be independent and at lower risk of negative outcomes. For each unit increase in the FAI the risk of having independency increased by 30%-58% cross-sectionally in the two cohorts, whilst the 2-year risk of independency increased by 20%. The FAI demonstrated a C-statistic of 0.73 (95% confidence interval, 0.72 and 0.75) for the primary outcome. CONCLUSIONS The FAI we developed effectively measured the functional ability status of community dwelling older individuals. FAI could serve as a tool for evaluating older individual's functional ability in routine health assessment.
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Affiliation(s)
- Yi Chang
- Department of Respiratory Medicine, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, 100053 Beijing, China
| | - Suman Sapkota
- School of Public Health, Capital Medical University, 100069 Beijing, China
| | - Bipin Thapa
- School of Public Health, Capital Medical University, 100069 Beijing, China
| | - Lina Ma
- National Clinical Research Center for Geriatric Diseases, Department of Geriatrics, Xuanwu Hospital of Capital Medical University, 100053 Beijing, China
| | - Linghui Sheng
- National Clinical Research Center for Geriatric Diseases, Department of Geriatrics, Xuanwu Hospital of Capital Medical University, 100053 Beijing, China
| | - Chaodong Wang
- Department of Neurobiology and Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, 100053 Beijing, China
| | - Jagadish K Chhetri
- National Clinical Research Center for Geriatric Diseases, Department of Geriatrics, Xuanwu Hospital of Capital Medical University, 100053 Beijing, China
| | - Piu Chan
- Department of Neurobiology, Geriatrics, and Neurology, Beijing Institute of Geriatrics, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, 100053 Beijing, China
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17
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Nunes PRP, Kassiano W, Castro-E-Souza P, Camilo BDF, Cristina-Souza G, Vieira-Souza LM, Cyrino ES, Carneiro MADS. Higher volume resistance training enhances whole-body muscle hypertrophy in postmenopausal and older females: A secondary analysis of systematic review and meta-analysis of randomized clinical trials. Arch Gerontol Geriatr 2024; 124:105474. [PMID: 38744142 DOI: 10.1016/j.archger.2024.105474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 04/23/2024] [Accepted: 05/03/2024] [Indexed: 05/16/2024]
Abstract
OBJECTIVE This study explored the effects of resistance training (RT) volume on muscle hypertrophy in postmenopausal and older females. METHODS This systematic review searched randomized controlled trials (RCTs) on PubMed/MEDLINE, Scopus, Web of Science, and SciELO. Studies with postmenopausal (age ≥ 45 y) or older females (age ≥ 60 y) that compared RT (whole-body) effects on muscle hypertrophy with a control group (CG) were included. Independently reviewers selected the studies, extracted data, and performed the risk of bias of RCTs (RoB2) and certainty of the evidence (GRADE). Whole-body lean mass, free-fat mass, and skeletal muscle mass measurements were included as muscle hypertrophy outcomes. A random-effects model standardized mean difference (Hedges'g), and 95% confidence interval (95%CI) were used for meta-analysis. RESULTS Fourteen RCTs (overall RoB2: some concerns, except one study with high risk; GRADE: low evidence) were included. RT groups were divided into low (LVRT, total volume: 445.0 au) and high-volume (HVRT, total volume: 997.3 au). Most exercises performed were arm curl, bench press or chest press, calf raise, leg curl, leg extension, leg press or squat, seated row or lat pulldown, and triceps pushdown. Both groups experienced muscle hypertrophy (HVRT = ∼1.3 kg vs. LVRT = ∼0.9 kg) when compared to CG, although HVRT demonstrated moderate effects size (HVRT = 0.52, 95%CI: 0.27, 0.77) and LVRT demonstrated small effects size (LVRT = 0.34, 95%CI: 0.14, 0.53). CONCLUSIONS Compared to CG, results suggest that the HVRT protocol elicits superior improvements in muscle hypertrophy outcomes than LVRT in postmenopausal and older females.
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Affiliation(s)
- Paulo Ricardo Prado Nunes
- Department of Body and Human Movement, Minas Gerais State University (UEMG), 37902-092 Passos, MG, Brazil; Physical Activity, Health and Ageing Research Group (GPASE), Minas Gerais State University (UEMG), 37902-092 Passos, MG, Brazil; Exercise and Nutrition Research Group (GPEN), Minas Gerais State University (UEMG), 37701-355 Poços de Caldas, MG, Brazil; Sport Sciences and Physical Exercise Study and Research Group - (GEPCEEX), Minas Gerais State University (UEMG), 37902-092 Passos, MG, Brazil.
| | - Witalo Kassiano
- Metabolism, Nutrition and Exercise Laboratory, Physical Education and Sport Center, Londrina State University, Londrina, PR, Brazil
| | - Pâmela Castro-E-Souza
- Metabolism, Nutrition and Exercise Laboratory, Physical Education and Sport Center, Londrina State University, Londrina, PR, Brazil
| | - Bruno de Freitas Camilo
- Department of Body and Human Movement, Minas Gerais State University (UEMG), 37902-092 Passos, MG, Brazil; Physical Activity, Health and Ageing Research Group (GPASE), Minas Gerais State University (UEMG), 37902-092 Passos, MG, Brazil; Exercise and Nutrition Research Group (GPEN), Minas Gerais State University (UEMG), 37701-355 Poços de Caldas, MG, Brazil; Sport Sciences and Physical Exercise Study and Research Group - (GEPCEEX), Minas Gerais State University (UEMG), 37902-092 Passos, MG, Brazil
| | - Gislaine Cristina-Souza
- Exercise and Nutrition Research Group (GPEN), Minas Gerais State University (UEMG), 37701-355 Poços de Caldas, MG, Brazil; Department of Education and Human Sciences, Minas Gerais State University (UEMG), 37701-355 Poços de Caldas, MG, Brazil; Sport Sciences and Physical Exercise Study and Research Group - (GEPCEEX), Minas Gerais State University (UEMG), 37902-092 Passos, MG, Brazil
| | - Lucio Marques Vieira-Souza
- Department of Body and Human Movement, Minas Gerais State University (UEMG), 37902-092 Passos, MG, Brazil; Sport Sciences and Physical Exercise Study and Research Group - (GEPCEEX), Minas Gerais State University (UEMG), 37902-092 Passos, MG, Brazil; Postgraduate Program in Physical Education, Federal University of Sergipe (UFS), 49107-230 São Cristóvão, SE, Brazil
| | - Edilson Serpeloni Cyrino
- Metabolism, Nutrition and Exercise Laboratory, Physical Education and Sport Center, Londrina State University, Londrina, PR, Brazil
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Hu FW, Li YP, Chang CM, Lin TY, Lai PH, Lin CY. Development and testing of a four-item version of the physical resilience instrument for older adults (PRIFOR-4). J Nutr Health Aging 2024; 28:100250. [PMID: 38677078 DOI: 10.1016/j.jnha.2024.100250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 04/17/2024] [Accepted: 04/17/2024] [Indexed: 04/29/2024]
Abstract
The 16-item Physical Resilience Instrument for Older Adults (PRIFOR) has good clinimetric properties; however, a shortened PRIFOR would greatly enhance physical resilience measurements in clinical settings. The current analysis aimed to reduce the number of PRIFOR while maintaining its clinimetric properties, emphasizing on its factor structure and convergent validity. A longitudinal study was conducted among 863 patients aged 65 years or older. Four PRIFOR items with high factor loadings were selected to generate the short version of PRIFOR (PRIFOR-4). The PRIFOR-4 was found to have a unidimensional structure (comparative fit index = 0.999; Tucker-Lewis index = 0.998 in the confirmatory factor analysis results) with good convergent validity with various external measures (absolute r = 0.109-0.597; p-values<0.01). Because the PRIFOR-4 contains only four items, the completion time for the respondents reduced three fourths from the original PRIFOR, which may have a marked reduction in the response burden. The PRIFOR-4 is thus an easy-to-use measurement that saves time for healthcare professionals in clinical practice.
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Affiliation(s)
- Fang-Wen Hu
- School of Nursing, College of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan; Center for Long-Term Care Research, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Yueh-Ping Li
- Department of Nursing, National Tainan Junior College of Nursing, Tainan, Taiwan
| | - Chia-Ming Chang
- Department of Geriatrics and Gerontology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Tzu-Yu Lin
- Center for Long-Term Care Research, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Master Program of Long-Term Care in Aging, College of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Po-Hsuan Lai
- Department of Family Medicine and Community Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
| | - Chung-Ying Lin
- Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Biostatistics Consulting Center, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Public Health, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Occupational Therapy, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
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19
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Bencivenga L, Strumia M, Rolland Y, Guyonnet S, Parini A, Cestac P, Andrieu S, Souto Barreto PD, Rouch L. Visit-to-visit blood pressure variability is associated with intrinsic capacity decline: Results from the MAPT Study. Eur J Intern Med 2024; 125:82-88. [PMID: 38499456 DOI: 10.1016/j.ejim.2024.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 02/25/2024] [Accepted: 03/04/2024] [Indexed: 03/20/2024]
Abstract
BACKGROUND The effectiveness of the body physiological regulatory mechanisms declines in late life, and increased Blood Pressure Variability (BPV) may represent an alteration in cardiovascular homeostatic patterns. Intrinsic Capacity (IC) has been proposed by the World Health Organization as a marker of healthy aging, based on individual's functional abilities and intended at preserving successful aging. We aimed to investigate the association of visit-to-visit BPV with IC decline in a population of community-dwelling older adults. METHODS The study population consisted of 1407 community-dwelling participants aged ≥70 years from the MAPT study evaluated during the 5-year follow-up. Systolic BPV (SBPV) and diastolic BPV (DBPV) were determined through six indicators. Cognition, psychology, locomotion and vitality constituted the four IC domains assessed. Total IC Z-score resulted from the sum of the four domains Z-scores divided by 4. The incidence of domain impairment over time was also assessed. RESULTS Higher SBPV was significantly associated with poorer IC Z-scores in all linear mixed models [1-SD increase of CV%: β(SE)=-0.010(0.001), p < 0.01]. Similar results were observed for DBPV [1-SD increase of CV%: β(SE)=-0.003(0.001), p = 0.02]. Incident IC impairment was significantly higher in participants with greater SBPV, [HR=1.16 (95 % CI, 1.01-1.33), p = 0.03], while greater DBPV did not show a higher risk of incident IC impairment. CONCLUSIONS Greater BPV is associated with IC decline over time. Our findings support BP instability as a presumable index of altered cardiovascular homeostatic mechanism, suggesting that BPV might be a clinical marker of aging and addressable risk factor for promoting healthy aging.
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Affiliation(s)
- Leonardo Bencivenga
- Department of Translational Medical Sciences, University of Naples Federico II, Napoli, Italy; Gérontopôle de Toulouse, Institut du Vieillissement, CHU de Toulouse, France.
| | - Mathilde Strumia
- Gérontopôle de Toulouse, Institut du Vieillissement, CHU de Toulouse, France; UMR INSERM 1295, Université Toulouse III, Toulouse, France; Department of Pharmacy, Toulouse University, Toulouse, France
| | - Yves Rolland
- Gérontopôle de Toulouse, Institut du Vieillissement, CHU de Toulouse, France; UMR INSERM 1295, Université Toulouse III, Toulouse, France
| | - Sophie Guyonnet
- Gérontopôle de Toulouse, Institut du Vieillissement, CHU de Toulouse, France; UMR INSERM 1295, Université Toulouse III, Toulouse, France
| | - Angelo Parini
- Institut Des Maladies Métaboliques Et Cardiovasculaires (I2MC), Toulouse, France
| | - Philippe Cestac
- Department of Pharmacy, Toulouse University, Toulouse, France
| | - Sandrine Andrieu
- Gérontopôle de Toulouse, Institut du Vieillissement, CHU de Toulouse, France; UMR INSERM 1295, Université Toulouse III, Toulouse, France
| | - Philipe De Souto Barreto
- Gérontopôle de Toulouse, Institut du Vieillissement, CHU de Toulouse, France; UMR INSERM 1295, Université Toulouse III, Toulouse, France
| | - Laure Rouch
- Gérontopôle de Toulouse, Institut du Vieillissement, CHU de Toulouse, France; UMR INSERM 1295, Université Toulouse III, Toulouse, France; Department of Pharmacy, Toulouse University, Toulouse, France
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20
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Rico CLV, Quirarte NHG, Ortiz LGC, Hidalgo HC, Valderrama SMC, Rayas LF. Factors Associated with the Deterioration of Intrinsic Capacity among Older Adults in Mexico and Colombia. Ann Geriatr Med Res 2024; 28:156-163. [PMID: 38475665 PMCID: PMC11217656 DOI: 10.4235/agmr.23.0182] [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: 10/24/2023] [Revised: 03/07/2024] [Accepted: 03/08/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND Intrinsic capacity (IC) is defined as "all the physical and mental attributes possessed by the older person." This concept has gained momentum in recent years because it provides insights into the changes in the functional capacity of individuals during their life. This study examined common factors associated with IC decline among older adults in Mexico and Colombia. METHODS This cross-sectional, correlational study included 348 community-dwelling older adults. Sociodemographic, clinical, and family conditions were assessed as possible associated factors, and IC was analyzed across five domains: cognitive, locomotor, psychological, vitality (malnutrition through deficiency and excess), and sensory (visual and auditory). Parametric and non-parametric statistical analyses were performed. RESULTS The common factors associated with impairment according to domain were family dysfunctionality (cognitive domain); myocardial infarction, family dysfunctionality, age >80 years, home occupation, and not having a partner (locomotor domain); dysfunctional family and risk of falls (psychological domain); age >80 years and not having a partner (malnutrition by deficiency domain); age 60-79 years, walking <7,500 steps/day, and peripheral vascular disease (malnutrition by excess domain); risk of falling and being female (visual sensory domain); risk of falling (auditory sensory domain); and dysfunctional family and risk of falling (total intrinsic capacity). CONCLUSION Both populations had common sociodemographic, clinical, and familial factors that directly affected total IC stocks and their domains.
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21
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Wang Q, Xu J, Luo M, Jiang Y, Gu Y, Wang Q, He J, Sun Y, Lin Y, Feng L, Chen S, Hou T. Fasting mimicking diet extends lifespan and improves intestinal and cognitive health. Food Funct 2024; 15:4503-4514. [PMID: 38567489 DOI: 10.1039/d4fo00483c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Caloric restriction is an effective means of extending a healthy lifespan. Fasting mimicking diet (FMD) is a growing pattern of caloric restriction. We found that FMD significantly prolonged the lifespan of prematurely aging mice. In naturally aging mice, FMD improved cognitive and intestinal health. Through a series of behavioral experiments, we found that FMD relieved anxiety and enhanced cognition in aged mice. In the intestine, the FMD cycles enhanced the barrier function, reduced senescence markers, and maintained T cell naïve-memory balance in the lamina propria mucosa. To further explore the causes of immune alterations, we examined changes in the stool microbiota using 16S rRNA sequencing. We found that FMD remodeled gut bacterial composition and significantly expanded the abundance of Lactobacillus johnsonii. Our research revealed that FMD has in-depth investigative value as an anti-aging intervention for extending longevity and improving cognition, intestinal function, and gut microbiota composition.
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Affiliation(s)
- Qingyi Wang
- Department of Gastroenterology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, Zhejiang Province, China.
- Institute of Gastroenterology, Zhejiang University, Hangzhou 310016, Zhejiang Province, China
- Prevention and Treatment Research Center of Senescent Disease, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310058, China
| | - Jilei Xu
- Department of Gastroenterology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, Zhejiang Province, China.
- Institute of Gastroenterology, Zhejiang University, Hangzhou 310016, Zhejiang Province, China
- Prevention and Treatment Research Center of Senescent Disease, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310058, China
| | - Man Luo
- Prevention and Treatment Research Center of Senescent Disease, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310058, China
- Department of Clinical Nutrition, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | - Yao Jiang
- Institute of Gastroenterology, Zhejiang University, Hangzhou 310016, Zhejiang Province, China
- Prevention and Treatment Research Center of Senescent Disease, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310058, China
- Department of Gastroenterology, Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310058, China
| | - Yanrou Gu
- Department of Gastroenterology, Wenzhou No. 3 Clinical Institute Affiliated to Wenzhou Medical University, Wenzhou People's Hospital, Wenzhou, China
| | - Qiwen Wang
- Department of Gastroenterology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, Zhejiang Province, China.
- Institute of Gastroenterology, Zhejiang University, Hangzhou 310016, Zhejiang Province, China
- Prevention and Treatment Research Center of Senescent Disease, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310058, China
| | - Jiamin He
- Department of Gastroenterology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, Zhejiang Province, China.
- Institute of Gastroenterology, Zhejiang University, Hangzhou 310016, Zhejiang Province, China
- Prevention and Treatment Research Center of Senescent Disease, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310058, China
| | - Yong Sun
- Institute of Gastroenterology, Zhejiang University, Hangzhou 310016, Zhejiang Province, China
- Prevention and Treatment Research Center of Senescent Disease, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310058, China
- Department of Gastroenterology, Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310058, China
| | - Yifeng Lin
- Institute of Gastroenterology, Zhejiang University, Hangzhou 310016, Zhejiang Province, China
- Prevention and Treatment Research Center of Senescent Disease, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310058, China
- Department of Gastroenterology, Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310058, China
| | - Lijun Feng
- Prevention and Treatment Research Center of Senescent Disease, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310058, China
- Department of Clinical Nutrition, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | - Shujie Chen
- Department of Gastroenterology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, Zhejiang Province, China.
- Institute of Gastroenterology, Zhejiang University, Hangzhou 310016, Zhejiang Province, China
- Prevention and Treatment Research Center of Senescent Disease, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310058, China
| | - Tongyao Hou
- Department of Gastroenterology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, Zhejiang Province, China.
- Institute of Gastroenterology, Zhejiang University, Hangzhou 310016, Zhejiang Province, China
- Prevention and Treatment Research Center of Senescent Disease, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, 310058, China
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Gavrila Laic RA, Firouzi M, Claeys R, Bautmans I, Swinnen E, Beckwée D. A State-of-the-Art of Exoskeletons in Line with the WHO's Vision on Healthy Aging: From Rehabilitation of Intrinsic Capacities to Augmentation of Functional Abilities. SENSORS (BASEL, SWITZERLAND) 2024; 24:2230. [PMID: 38610440 PMCID: PMC11014060 DOI: 10.3390/s24072230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 03/26/2024] [Accepted: 03/27/2024] [Indexed: 04/14/2024]
Abstract
The global aging population faces significant health challenges, including an increasing vulnerability to disability due to natural aging processes. Wearable lower limb exoskeletons (LLEs) have emerged as a promising solution to enhance physical function in older individuals. This systematic review synthesizes the use of LLEs in alignment with the WHO's healthy aging vision, examining their impact on intrinsic capacities and functional abilities. We conducted a comprehensive literature search in six databases, yielding 36 relevant articles covering older adults (65+) with various health conditions, including sarcopenia, stroke, Parkinson's Disease, osteoarthritis, and more. The interventions, spanning one to forty sessions, utilized a range of LLE technologies such as Ekso®, HAL®, Stride Management Assist®, Honda Walking Assist®, Lokomat®, Walkbot®, Healbot®, Keeogo Rehab®, EX1®, overground wearable exoskeletons, Eksoband®, powered ankle-foot orthoses, HAL® lumbar type, Human Body Posturizer®, Gait Enhancing and Motivation System®, soft robotic suits, and active pelvis orthoses. The findings revealed substantial positive outcomes across diverse health conditions. LLE training led to improvements in key performance indicators, such as the 10 Meter Walk Test, Five Times Sit-to-Stand test, Timed Up and Go test, and more. Additionally, enhancements were observed in gait quality, joint mobility, muscle strength, and balance. These improvements were accompanied by reductions in sedentary behavior, pain perception, muscle exertion, and metabolic cost while walking. While longer intervention durations can aid in the rehabilitation of intrinsic capacities, even the instantaneous augmentation of functional abilities can be observed in a single session. In summary, this review demonstrates consistent and significant enhancements in critical parameters across a broad spectrum of health conditions following LLE interventions in older adults. These findings underscore the potential of LLE in promoting healthy aging and enhancing the well-being of older adults.
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Affiliation(s)
- Rebeca Alejandra Gavrila Laic
- Rehabilitation Research, Department of Physiotherapy, Human Physiology and Anatomy, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Jette, Belgium; (R.A.G.L.); (M.F.); (R.C.); (D.B.)
| | - Mahyar Firouzi
- Rehabilitation Research, Department of Physiotherapy, Human Physiology and Anatomy, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Jette, Belgium; (R.A.G.L.); (M.F.); (R.C.); (D.B.)
- Brain, Body and Cognition Research Group, Faculty of Psychology and Educational Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Elsene, Belgium
- Center for Neurosciences (C4N), Vrije Universiteit Brussel, Pleinlaan 2, 1050 Elsene, Belgium
- Brubotics (Human Robotics Research Center), Vrije Universiteit Brussel, Pleinlaan 2, 1050 Elsene, Belgium
| | - Reinhard Claeys
- Rehabilitation Research, Department of Physiotherapy, Human Physiology and Anatomy, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Jette, Belgium; (R.A.G.L.); (M.F.); (R.C.); (D.B.)
- Center for Neurosciences (C4N), Vrije Universiteit Brussel, Pleinlaan 2, 1050 Elsene, Belgium
- Brubotics (Human Robotics Research Center), Vrije Universiteit Brussel, Pleinlaan 2, 1050 Elsene, Belgium
| | - Ivan Bautmans
- FRIA, Frailty in Ageing, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium;
| | - Eva Swinnen
- Rehabilitation Research, Department of Physiotherapy, Human Physiology and Anatomy, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Jette, Belgium; (R.A.G.L.); (M.F.); (R.C.); (D.B.)
- Center for Neurosciences (C4N), Vrije Universiteit Brussel, Pleinlaan 2, 1050 Elsene, Belgium
- Brubotics (Human Robotics Research Center), Vrije Universiteit Brussel, Pleinlaan 2, 1050 Elsene, Belgium
| | - David Beckwée
- Rehabilitation Research, Department of Physiotherapy, Human Physiology and Anatomy, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Jette, Belgium; (R.A.G.L.); (M.F.); (R.C.); (D.B.)
- Brubotics (Human Robotics Research Center), Vrije Universiteit Brussel, Pleinlaan 2, 1050 Elsene, Belgium
- FRIA, Frailty in Ageing, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium;
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Flores-Bello C, Correa-Muñoz E, Sánchez-Rodríguez MA, Mendoza-Núñez VM. Effect of Exercise Programs on Physical Performance in Community-Dwelling Older Adults with and without Frailty: Systematic Review and Meta-Analysis. Geriatrics (Basel) 2024; 9:8. [PMID: 38247983 PMCID: PMC10801556 DOI: 10.3390/geriatrics9010008] [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: 10/06/2023] [Revised: 12/27/2023] [Accepted: 01/05/2024] [Indexed: 01/23/2024] Open
Abstract
BACKGROUND The measurement of physical performance constitutes an indicator of the physical functional capacity of older adults with and without frailty. AIM To present a synthesis of knowledge on the effect of exercise programs on physical performance in older adults with and without frailty in the community. METHOD A systematic review was carried out in accordance with the PRISMA-2020 criteria. The search for articles was made until 4 May 2023 in PubMed, Scopus, Web of Science, Cochrane Library, SciELO and LILACS. The outcome variable was physical performance, measured through the SPPB (Short Physical Performance Battery). The mean difference (MD) was estimated to evaluate the effect. RESULT We found 2483 studies, of which 12 met the eligibility criteria for the systematic review and 9 for the meta-analysis. The effect of exercise on SPPB scores was significantly higher in the exercise group compared to control in non-frail older adults with MD = 0.51 [95% CI, 0.05 to 0.96, p < 0.05]. Likewise, in older adults with frailty, the effect of exercise on the global SPPB score was significantly higher in the exercise group compared to the control with MD = 0.66 [95% CI, 0.09 to 1.24, p < 0.05]. CONCLUSION Our findings suggest that exercise programs are effective in increasing and/or maintaining physical performance in older adults with and without frailty, whose effect is more evident in older adults with frailty, probably due to the greater margin of recovery of intrinsic capacity. This systematic review shows the differentiated effect of exercise training on physical performance in older adults with and without frailty. Scientific evidence reinforces the importance of implementing physical exercise programs in all older adults, including those who are frail. However, it is necessary to specify the types and doses (duration, frequency and intensity), for individualized groups, previously grouped according to the SPPB score.
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Affiliation(s)
- Cristina Flores-Bello
- Research Unit on Gerontology, FES Zaragoza, National Autonomous University of Mexico, Mexico City 09230, Mexico; (C.F.-B.); (E.C.-M.); (M.A.S.-R.)
- Postgraduate Master’s and Doctorate in Nursing, National Autonomous University of Mexico, Mexico City 09230, Mexico
| | - Elsa Correa-Muñoz
- Research Unit on Gerontology, FES Zaragoza, National Autonomous University of Mexico, Mexico City 09230, Mexico; (C.F.-B.); (E.C.-M.); (M.A.S.-R.)
- Postgraduate Master’s and Doctorate in Nursing, National Autonomous University of Mexico, Mexico City 09230, Mexico
| | - Martha A. Sánchez-Rodríguez
- Research Unit on Gerontology, FES Zaragoza, National Autonomous University of Mexico, Mexico City 09230, Mexico; (C.F.-B.); (E.C.-M.); (M.A.S.-R.)
- Postgraduate Master’s and Doctorate in Nursing, National Autonomous University of Mexico, Mexico City 09230, Mexico
| | - Víctor Manuel Mendoza-Núñez
- Research Unit on Gerontology, FES Zaragoza, National Autonomous University of Mexico, Mexico City 09230, Mexico; (C.F.-B.); (E.C.-M.); (M.A.S.-R.)
- Postgraduate Master’s and Doctorate in Nursing, National Autonomous University of Mexico, Mexico City 09230, Mexico
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Otto RB, Fields NL, Bennett M, Anderson KA. Positive Aging and Death or Dying: A Scoping Review. THE GERONTOLOGIST 2023; 63:1497-1509. [PMID: 36744720 DOI: 10.1093/geront/gnad006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND AND OBJECTIVES This scoping review aims to examine the extent and the manner in which research that utilizes successful, active, productive, and healthy aging framework(s) includes death or dying. RESEARCH DESIGN AND METHODS An examination of peer-reviewed academic journal articles was conducted following Joanna Briggs Institute's methodological standards for scoping reviews and conforming to Arskey and O'Malley's 5-stage framework. The initial search resulted in 1,759 articles for review, and following the rigorous screening, 35 studies were included for the final review. A qualitative thematic analysis was used to identify how research utilizes the concepts of death and dying in the context of 4 positive aging models. RESULTS The core themes identified include (a) the absence of death and dying dimensions in positive aging models; (b) older adults' outlooks on death and dying while aging well; (c) religious and spiritual dimensions of aging well; (d) negative consequences of positive aging models without death and dying dimensions; and (e) the future of death and dying in positive aging models. DISCUSSION AND IMPLICATIONS The review delivers a critique by researchers on the noticeable absence of death and dying processes within the framework of successful, active, productive, and healthy aging models. These findings represent a rich opportunity for future research on these concepts.
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Affiliation(s)
- Robin Brown Otto
- School of Social Work, University of Texas at Arlington, Arlington, Texas, USA
| | - Noelle L Fields
- School of Social Work, University of Texas at Arlington, Arlington, Texas, USA
| | - Michael Bennett
- School of Social Work, University of Texas at Arlington, Arlington, Texas, USA
| | - Keith A Anderson
- Department of Social Work, University of Mississippi, Oxford, Mississippi, USA
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25
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Lima GS, Figueira ALG, de Carvalho EC, Kusumota L, Caldeira S. Resilience in Older People: A Concept Analysis. Healthcare (Basel) 2023; 11:2491. [PMID: 37761688 PMCID: PMC10531380 DOI: 10.3390/healthcare11182491] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 09/01/2023] [Accepted: 09/04/2023] [Indexed: 09/29/2023] Open
Abstract
(1) Background: Resilience has been presented as a potential protective factor to be promoted in difficult experiences in older people. However, further clarification of the concept of resilience for this population is required, as this is of critical interest for nursing care. (2) Aim: To develop the concept of resilience in older people to establish the elements that refer to the nursing outcome. Personal resilience (1309) from the Nursing Outcomes Classification (NOC), specifically in older people. (3) Methods: Concept analysis using Beth Rodgers' evolutionary model. The attributes, antecedents, consequents, and empirical elements were described in the integrative review, with searches in PubMed, CINAHL, PsycINFO, LILACS, and Embase databases. A total of 2431 citations have been identified, and 110 studies were included. (4) Results: The concept of "resilience in older people" is composed of two attributes, available resources and positive behaviors, and is defined as positive attitudes of older people with the assistance of resources available from experiences of adversity. Conclusion: This analysis and concept development of resilience in older people provided sensitive indicators for nursing care in the context of adversity, considering available resources and with positive attitudes during this phase of life span.
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Affiliation(s)
- Gabriella Santos Lima
- School of Nursing of Ribeirão Preto, University of São Paulo, Ribeirão Preto 14040-902, Brazil; (A.L.G.F.); (E.C.d.C.); (L.K.)
- Centre for Interdisciplinary Research in Health, Institute of Health Sciences, Universidade Católica Portuguesa, 1649-023 Lisbon, Portugal
| | - Ana Laura Galhardo Figueira
- School of Nursing of Ribeirão Preto, University of São Paulo, Ribeirão Preto 14040-902, Brazil; (A.L.G.F.); (E.C.d.C.); (L.K.)
| | - Emília Campos de Carvalho
- School of Nursing of Ribeirão Preto, University of São Paulo, Ribeirão Preto 14040-902, Brazil; (A.L.G.F.); (E.C.d.C.); (L.K.)
| | - Luciana Kusumota
- School of Nursing of Ribeirão Preto, University of São Paulo, Ribeirão Preto 14040-902, Brazil; (A.L.G.F.); (E.C.d.C.); (L.K.)
| | - Sílvia Caldeira
- Centre for Interdisciplinary Research in Health, Institute of Health Sciences, Universidade Católica Portuguesa, 1649-023 Lisbon, Portugal
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26
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Chhetri JK, Ma L, Kang L, Chan P. Optimizing intrinsic capacity to prevent frailty and sarcopenia in old age. J Frailty Sarcopenia Falls 2023; 8:136-138. [PMID: 37663158 PMCID: PMC10472034 DOI: 10.22540/jfsf-08-136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/24/2023] [Indexed: 09/05/2023] Open
Affiliation(s)
- Jagadish K. Chhetri
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Lina Ma
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Lin Kang
- Geriatric Department of Peking Union Medical College Hospital, Beijing, China
| | - Piu Chan
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
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27
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Nagae M, Umegaki H, Komiya H, Nakashima H, Fujisawa C, Watanabe K, Yamada Y, Miyahara S. Intrinsic capacity in acutely hospitalized older adults. Exp Gerontol 2023; 179:112247. [PMID: 37380006 DOI: 10.1016/j.exger.2023.112247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 06/24/2023] [Accepted: 06/26/2023] [Indexed: 06/30/2023]
Abstract
OBJECTIVES We aimed to examine the association between intrinsic capacity (IC) and adverse outcomes of hospitalization. DESIGN A prospective observational cohort study. SETTING AND PARTICIPANTS We recruited patients aged 65 years or older who were admitted to the geriatric ward of an acute hospital between Oct 2019 and Sep 2022. MEASUREMENTS Each of the five IC domains (locomotion, cognition, vitality, sensory, and psychological capacity) was graded into three levels, and the composite IC score was calculated (0, lowest; 10, highest). Hospital-related outcomes were defined as in-hospital death, hospital-associated complications (HACs), length of hospital stay, and frequency of discharge to home. RESULTS In total, 296 individuals (mean age 84.7 ± 5.4 years, 42.7 % males) were analyzed. Mean composite IC score was 6.5 ± 1.8, and 95.6 % of participants had impairment in at least one IC domain. A higher composite IC score was independently associated with lower frequency of in-hospital death (odds ratio [OR] 0.59) and HACs (OR 0.71), higher frequency of discharge to home (OR 1.50), and shorter length of hospital stay (β = -0.24, p < 0.01). The locomotion, cognition, and psychological domains were independently associated with the occurrence of HACs, discharge destination, and length of hospital stay. CONCLUSION Evaluating IC was feasible in the hospital setting and was associated with outcomes of hospitalization. For older inpatients with decreased IC, integrated management may be required to achieve functional independence.
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Affiliation(s)
- Masaaki Nagae
- Department of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine, Aichi, Japan; Department of Emergency Room and General Medicine, Hyogo Prefectural Amagasaki General Medical Center, Hyogo, Japan
| | - Hiroyuki Umegaki
- Department of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine, Aichi, Japan.
| | - Hitoshi Komiya
- Department of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Hirotaka Nakashima
- Department of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Chisato Fujisawa
- Department of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Kazuhisa Watanabe
- Department of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Yosuke Yamada
- Department of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Shuzo Miyahara
- Department of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine, Aichi, Japan
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28
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Muneera K, Muhammad T, Pai M, Ahmed W, Althaf S. Associations between intrinsic capacity, functional difficulty, and fall outcomes among older adults in India. Sci Rep 2023; 13:9829. [PMID: 37330570 PMCID: PMC10276857 DOI: 10.1038/s41598-023-37097-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 06/15/2023] [Indexed: 06/19/2023] Open
Abstract
The construct of intrinsic capacity (IC) in the context of integrated care for older adults emphasizes functional assessment from a holistic perspective. It provides reliable and comparable insights on subsequent functioning and disability. Given the paucity of research on IC and health outcomes in low- and middle-income countries (LMICs), the present study examined the association of IC with geriatric conditions of functional limitations and multiple fall outcomes among older adults in India. The data used for analysis come from the first wave of the Longitudinal Aging Study in India (LASI), 2017-2018. The final sample size contains 24,136 older adults (11,871 males and 12,265 females) age 60 years or above. Multivariable binary logistic regression is employed to examine the association of IC and other explanatory factors with outcome variables of difficulty in activities of daily living (ADL) and instrumental activities of daily living (IADL), falls, fall injury, and multiple falls. Of the total sample, 24.56% of older adults were observed to be in the high IC category. The prevalence of ADL difficulty, IADL difficulty, falls, multiple falls and fall-related injury is estimated to be 19.89%, 45.00%, 12.36%, 5.49% and 5.57%, respectively. Older adults who reported high IC had a significantly lower prevalence of ADL difficulty (12.26% vs 22.38%) and IADL difficulty (31.13% vs 49.52%) than those who reported low IC. Similarly, a lower prevalence of falls (9.42% vs 13.34%), fall-related injury (4.10% vs 6.06%) and multiple falls (3.46% vs 6.16%) were reported among those who had high IC. After adjusting for a large number of confounders such as age, sex, health-related attributes and lifestyle behaviors, older adults with high IC had significantly lower odds of ADL difficulty [aOR: 0.63, CI: 0.52-0.76], IADL difficulty [aOR: 0.71, CI: 0.60-0.83], falls [aOR: 0.80, CI: 0.67-0.96], multiple falls [aOR: 0.73, CI: 0.58-0.96] and fall-related injury [aOR: 0.78, CI: 0.61-0.99]. That a high IC was independently associated with a lower risk of functional difficulty and fall outcomes in later life is of enormous value in predicting subsequent functional care needs. More specifically, the findings here imply that because regular IC monitoring can predict poor health outcomes in older adults, improvements in IC should be prioritized while formulating disability and fall prevention strategies.
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Affiliation(s)
- K Muneera
- National Institute of Technology, Calicut, Kerala, 673601, India
| | - T Muhammad
- International Institute for Population Sciences, Mumbai, Maharashtra, 400088, India.
| | - Manacy Pai
- Department of Sociology and Criminology, Kent State University, Kent, OH, 44242, USA
| | - Waquar Ahmed
- School of Health Systems Studies, Tata Institute of Social Sciences, Mumbai, India
| | - S Althaf
- National Institute of Technology, Calicut, Kerala, 673601, India
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29
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Bao H, Cao J, Chen M, Chen M, Chen W, Chen X, Chen Y, Chen Y, Chen Y, Chen Z, Chhetri JK, Ding Y, Feng J, Guo J, Guo M, He C, Jia Y, Jiang H, Jing Y, Li D, Li J, Li J, Liang Q, Liang R, Liu F, Liu X, Liu Z, Luo OJ, Lv J, Ma J, Mao K, Nie J, Qiao X, Sun X, Tang X, Wang J, Wang Q, Wang S, Wang X, Wang Y, Wang Y, Wu R, Xia K, Xiao FH, Xu L, Xu Y, Yan H, Yang L, Yang R, Yang Y, Ying Y, Zhang L, Zhang W, Zhang W, Zhang X, Zhang Z, Zhou M, Zhou R, Zhu Q, Zhu Z, Cao F, Cao Z, Chan P, Chen C, Chen G, Chen HZ, Chen J, Ci W, Ding BS, Ding Q, Gao F, Han JDJ, Huang K, Ju Z, Kong QP, Li J, Li J, Li X, Liu B, Liu F, Liu L, Liu Q, Liu Q, Liu X, Liu Y, Luo X, Ma S, Ma X, Mao Z, Nie J, Peng Y, Qu J, Ren J, Ren R, Song M, Songyang Z, Sun YE, Sun Y, Tian M, Wang S, et alBao H, Cao J, Chen M, Chen M, Chen W, Chen X, Chen Y, Chen Y, Chen Y, Chen Z, Chhetri JK, Ding Y, Feng J, Guo J, Guo M, He C, Jia Y, Jiang H, Jing Y, Li D, Li J, Li J, Liang Q, Liang R, Liu F, Liu X, Liu Z, Luo OJ, Lv J, Ma J, Mao K, Nie J, Qiao X, Sun X, Tang X, Wang J, Wang Q, Wang S, Wang X, Wang Y, Wang Y, Wu R, Xia K, Xiao FH, Xu L, Xu Y, Yan H, Yang L, Yang R, Yang Y, Ying Y, Zhang L, Zhang W, Zhang W, Zhang X, Zhang Z, Zhou M, Zhou R, Zhu Q, Zhu Z, Cao F, Cao Z, Chan P, Chen C, Chen G, Chen HZ, Chen J, Ci W, Ding BS, Ding Q, Gao F, Han JDJ, Huang K, Ju Z, Kong QP, Li J, Li J, Li X, Liu B, Liu F, Liu L, Liu Q, Liu Q, Liu X, Liu Y, Luo X, Ma S, Ma X, Mao Z, Nie J, Peng Y, Qu J, Ren J, Ren R, Song M, Songyang Z, Sun YE, Sun Y, Tian M, Wang S, Wang S, Wang X, Wang X, Wang YJ, Wang Y, Wong CCL, Xiang AP, Xiao Y, Xie Z, Xu D, Ye J, Yue R, Zhang C, Zhang H, Zhang L, Zhang W, Zhang Y, Zhang YW, Zhang Z, Zhao T, Zhao Y, Zhu D, Zou W, Pei G, Liu GH. Biomarkers of aging. SCIENCE CHINA. LIFE SCIENCES 2023; 66:893-1066. [PMID: 37076725 PMCID: PMC10115486 DOI: 10.1007/s11427-023-2305-0] [Show More Authors] [Citation(s) in RCA: 163] [Impact Index Per Article: 81.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 02/27/2023] [Indexed: 04/21/2023]
Abstract
Aging biomarkers are a combination of biological parameters to (i) assess age-related changes, (ii) track the physiological aging process, and (iii) predict the transition into a pathological status. Although a broad spectrum of aging biomarkers has been developed, their potential uses and limitations remain poorly characterized. An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research: How old are we? Why do we get old? And how can we age slower? This review aims to address this need. Here, we summarize our current knowledge of biomarkers developed for cellular, organ, and organismal levels of aging, comprising six pillars: physiological characteristics, medical imaging, histological features, cellular alterations, molecular changes, and secretory factors. To fulfill all these requisites, we propose that aging biomarkers should qualify for being specific, systemic, and clinically relevant.
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Affiliation(s)
- Hainan Bao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Jiani Cao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Mengting Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Min Chen
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Wei Chen
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China
| | - Xiao Chen
- Department of Nuclear Medicine, Daping Hospital, Third Military Medical University, Chongqing, 400042, China
| | - Yanhao Chen
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yu Chen
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Yutian Chen
- The Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Zhiyang Chen
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China
| | - Jagadish K Chhetri
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yingjie Ding
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Junlin Feng
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Jun Guo
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Mengmeng Guo
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Chuting He
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Yujuan Jia
- Department of Neurology, First Affiliated Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - Haiping Jiang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Ying Jing
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Dingfeng Li
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China
| | - Jiaming Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jingyi Li
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Qinhao Liang
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China
| | - Rui Liang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China
| | - Feng Liu
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China
| | - Xiaoqian Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Zuojun Liu
- School of Life Sciences, Hainan University, Haikou, 570228, China
| | - Oscar Junhong Luo
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Jianwei Lv
- School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Jingyi Ma
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Kehang Mao
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China
| | - Jiawei Nie
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xinhua Qiao
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xinpei Sun
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Jianfang Wang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Qiaoran Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Siyuan Wang
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China
| | - Xuan Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China
| | - Yaning Wang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yuhan Wang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Rimo Wu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China
| | - Kai Xia
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Fu-Hui Xiao
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Lingyan Xu
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Yingying Xu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Haoteng Yan
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Liang Yang
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China
| | - Ruici Yang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yuanxin Yang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Yilin Ying
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China
| | - Le Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Weiwei Zhang
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China
| | - Wenwan Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xing Zhang
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China
| | - Zhuo Zhang
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Min Zhou
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China
| | - Rui Zhou
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Qingchen Zhu
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Zhengmao Zhu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Feng Cao
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China.
| | - Zhongwei Cao
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Piu Chan
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
| | - Chang Chen
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Guobing Chen
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou, 510000, China.
| | - Hou-Zao Chen
- Department of Biochemistryand Molecular Biology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China.
| | - Jun Chen
- Peking University Research Center on Aging, Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, Department of Biochemistry and Molecular Biology, Department of Integration of Chinese and Western Medicine, School of Basic Medical Science, Peking University, Beijing, 100191, China.
| | - Weimin Ci
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
| | - Bi-Sen Ding
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Qiurong Ding
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Feng Gao
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China.
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China.
| | - Kai Huang
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Zhenyu Ju
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China.
| | - Qing-Peng Kong
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
| | - Ji Li
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
| | - Jian Li
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China.
| | - Xin Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Baohua Liu
- School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen, 518060, China.
| | - Feng Liu
- Metabolic Syndrome Research Center, The Second Xiangya Hospital, Central South Unversity, Changsha, 410011, China.
| | - Lin Liu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China.
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Institute of Translational Medicine, Tianjin Union Medical Center, Nankai University, Tianjin, 300000, China.
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 300350, China.
| | - Qiang Liu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China.
| | - Qiang Liu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China.
- Tianjin Institute of Immunology, Tianjin Medical University, Tianjin, 300070, China.
| | - Xingguo Liu
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China.
| | - Yong Liu
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China.
| | - Xianghang Luo
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China.
| | - Shuai Ma
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Xinran Ma
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
| | - Zhiyong Mao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Jing Nie
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - Yaojin Peng
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jie Ren
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Ruibao Ren
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Center for Aging and Cancer, Hainan Medical University, Haikou, 571199, China.
| | - Moshi Song
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Zhou Songyang
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China.
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
| | - Yi Eve Sun
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.
| | - Yu Sun
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Department of Medicine and VAPSHCS, University of Washington, Seattle, WA, 98195, USA.
| | - Mei Tian
- Human Phenome Institute, Fudan University, Shanghai, 201203, China.
| | - Shusen Wang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China.
| | - Si Wang
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
| | - Xia Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China.
| | - Xiaoning Wang
- Institute of Geriatrics, The second Medical Center, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Yan-Jiang Wang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
| | - Yunfang Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China.
| | - Catherine C L Wong
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China.
| | - Andy Peng Xiang
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China.
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Yichuan Xiao
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Zhengwei Xie
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China.
- Beijing & Qingdao Langu Pharmaceutical R&D Platform, Beijing Gigaceuticals Tech. Co. Ltd., Beijing, 100101, China.
| | - Daichao Xu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China.
| | - Jing Ye
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China.
| | - Rui Yue
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Cuntai Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China.
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Hongbo Zhang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Liang Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Weiqi Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Yong Zhang
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Yun-Wu Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
| | - Zhuohua Zhang
- Key Laboratory of Molecular Precision Medicine of Hunan Province and Center for Medical Genetics, Institute of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, 410078, China.
- Department of Neurosciences, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Tongbiao Zhao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Yuzheng Zhao
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China.
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Dahai Zhu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Weiguo Zou
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Gang Pei
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Biomedicine, The Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai, 200070, China.
| | - Guang-Hui Liu
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
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Lusardi MM. 2023 Carol B. Lewis Distinguished Lecture Address to the APTA Geriatrics Membership Combined Sections Meeting, February 23, 2023 Key Words & Challenges: Defining Our Role in Caring for Older Adults. J Geriatr Phys Ther 2023; 46:93-102. [PMID: 36935462 DOI: 10.1519/jpt.0000000000000378] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2023]
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Liao X, Shen J, Li M. Effects of multi-domain intervention on intrinsic capacity in older adults: A systematic review of randomized controlled trials (RCTs). Exp Gerontol 2023; 174:112112. [PMID: 36736466 DOI: 10.1016/j.exger.2023.112112] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/28/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023]
Abstract
Intrinsic capacity is central to the maintenance of function in older adults, and maintaining optimal intrinsic capacity is of great importance to promote healthy aging. The purpose of this systematic review and meta-analysis was to analyze the impact of multi-domain interventions on intrinsic capacity in older adults, intervention components, and potential interactions between components. A total of 6740 published articles were screened until August 2022, and the review included 25 randomized controlled trials that analyzed populations, interventions, control groups, and outcomes. The meta-analysis showed improvements in the primary outcome indicators in the intervention group compared to the control group. These included increased scores on the Mini-Mental State Examination as an indicator of cognitive function, decreased scores on the Geriatric Depression Scale (GDS-15) as an indicator of psychological ability and increased scores on the Short Physical Performance Battery (SPPB) as an indicator of physical performance, with only the SPPB indicator analyzed showing greater heterogeneity. Significant improvements were also seen in the secondary indicators Time-to-Walk Test (TUG), gait speed, Chair Stand Test (CST), grip strength values and BMI. There was insufficient data for the Mini Nutritional Assessment (MNA) as an indicator of vitality to conduct a meta-analysis. Studies were of moderate to high quality. The results of this review indicate that multi-domain interventions can maintain the level of intrinsic capacity in older adults and are equally effective in older adults with declining self-care abilities.
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Affiliation(s)
- Xiaoyan Liao
- Nursing Department, The First Affiliated Hospital of Chongqing Medical University, Yuzhong district, #1 Youyi road, Chongqing 400014, China
| | - Jun Shen
- Nursing Department, The First Affiliated Hospital of Chongqing Medical University, Yuzhong district, #1 Youyi road, Chongqing 400014, China.
| | - Miao Li
- Nursing Department, The First Affiliated Hospital of Chongqing Medical University, Yuzhong district, #1 Youyi road, Chongqing 400014, China
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Liang Y, Shang S, Gao Y, Zhai J, Cheng X, Yang C, Zhang R. Measurements of Intrinsic Capacity in Older Adults: A Scoping Review and Quality Assessment. J Am Med Dir Assoc 2023; 24:267-276.e2. [PMID: 36332688 DOI: 10.1016/j.jamda.2022.09.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 09/21/2022] [Accepted: 09/24/2022] [Indexed: 11/05/2022]
Abstract
OBJECTIVES This review summarizes the measurements of intrinsic capacity in 5 domains across different studies and evaluates the quality of research papers. DESIGN Scoping review of papers written in English and Chinese published in peer-reviewed journals. SETTING AND PARTICIPANTS The intrinsic capacity of older adults was assessed using the multidomain structure (Cognition, Locomotion, Psychological, Sensory and Vitality) proposed by the World Health Organization. METHODS We searched PubMed, MEDLINE, and Web of Science for papers in English, and CNKI, CBM for papers written in Chinese published until September 13, 2022. Both cross-sectional and cohort studies of multidomain measurements of intrinsic capacity were included. Three independent reviewers appraised the quality of studies, and Cohen's kappa was calculated to determine interrater reliability. Data were listed by author, year, setting, country, age range and number of participants, measurement and calculation of intrinsic capacity, and data acquisition method. RESULTS We included 53 studies. Twenty-one studies were of high quality, 31 studies were of moderate quality, and 1 study was of low quality. Measurements of intrinsic capacity and derivation of the summative index score were heterogeneous. Intrinsic capacity was usually assessed in 4 or 5 domains. Sensory was the most frequently overlooked domain or subdivided into vision and hearing in some studies. Indicators of vitality were the most heterogeneous. We also found consistency in heterogeneous measurements. The most common measurements of cognition, locomotion, and psychological capacity were the Mini-Mental State Examination, Short Physical Performance Battery, and Geriatric Depression Scale respectively. Self-reported questionnaires were commonly adopted in sensory domain. The Mini-Nutritional Assessment and grip strength were the most measured indicators of vitality. CONCLUSIONS AND IMPLICATIONS The focus on capacity and disease should be balanced to better promote healthy aging in older adults. Heterogeneity of intrinsic capacity measurements underscores the need for consensus about standardized measurements and calculation procedures.
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Affiliation(s)
- Yetian Liang
- The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, PR China
| | | | - Yaxuan Gao
- The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, PR China; Hebei Puai Aged Care Ltd. Co., Shijiazhuang, Hebei Province, PR China
| | - Jiahui Zhai
- The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, PR China
| | - Xiaohan Cheng
- The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, PR China
| | - Chen Yang
- The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, PR China
| | - Ruili Zhang
- The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, PR China.
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Development and validation of an intrinsic capacity composite score in the Longitudinal Aging Study Amsterdam: a formative approach. Aging Clin Exp Res 2023; 35:815-825. [PMID: 36813972 PMCID: PMC10115715 DOI: 10.1007/s40520-023-02366-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 02/05/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND Intrinsic capacity (IC) defined by the WHO refers to the composite of five domains of capacities. So far, developing and validating a standardized overall score of the concept have been challenging partly because its conceptual framework has been unclear. We consider that a person's IC is determined by its domain-specific indicators suggesting a formative measurement model. AIMS To develop an IC score applying a formative approach and assess its validity. METHODS The study sample (n = 1908) consisted of 57-88-year-old participants from the Longitudinal Aging Study Amsterdam (LASA). We used logistic regression models to select the indicators to the IC score with 6-year functional decline as an outcome. An IC score (range 0-100) was constructed for each participant. We examined the known-groups' validity of the IC score by comparing groups based on age and number of chronic diseases. The criterion validity of the IC score was assessed with 6-year functional decline and 10-year mortality as outcomes. RESULTS The constructed IC score included seven indicators covering all five domains of the construct. The mean IC score was 66.7 (SD 10.3). The scores were higher among younger participants and those who had lower number of chronic diseases. After adjustment for sociodemographic indicators, chronic diseases, and BMI, a one-point higher IC score was associated with a 7% decreased risk for 6-year functional decline and a 2% decreased risk for 10-year mortality. CONCLUSIONS The developed IC score demonstrated discriminative ability according to age and health status and is associated with subsequent functional decline and mortality.
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Zhou J, Chang H, Leng M, Wang Z. Intrinsic Capacity to Predict Future Adverse Health Outcomes in Older Adults: A Scoping Review. Healthcare (Basel) 2023; 11:450. [PMID: 36832984 PMCID: PMC9957180 DOI: 10.3390/healthcare11040450] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 12/24/2022] [Accepted: 01/10/2023] [Indexed: 02/09/2023] Open
Abstract
OBJECTIVE Intrinsic capacity is recognized as an important determinant of healthy aging and well-being of older adults; however, relatively little is known about the intrinsic capacity of older adults to predict adverse health outcomes. The study aimed to examine which adverse health outcomes of older adults can be predicted by intrinsic capacity. METHODS The study was conducted using the scoping review methodological framework of Arksey and O'Malley. A systematic literature search of nine electronic databases (i.e., Pubmed, Embase, Cochrane library, Web of science, CINAHL, China National Knowledge Infrastructure, VIP, Wanfang, and the Chinese Biological Medical Literature Database) were performed from the database's inception to 1 March 2022. RESULTS Fifteen longitudinal studies were included. A series of adverse health outcomes were assessed, including physical function (n = 12), frailty (n = 3), falls (n = 3), mortality (n = 6), quality of life (n = 2) and other adverse health outcomes (n = 4). CONCLUSIONS Intrinsic capacity could predict some adverse health outcomes of different follow-up times for older adults; however, due to the small number of studies and sample size, more high-quality studies are necessary to explore the longitudinal relationships between intrinsic capacity and adverse health outcomes in the future.
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Affiliation(s)
- Jia Zhou
- School of Nursing, Peking University, Beijing 100191, China
| | - Hui Chang
- School of Nursing, Guizhou Medical University, Guiyang 550025, China
| | - Minmin Leng
- School of Nursing, Peking University, Beijing 100191, China
| | - Zhiwen Wang
- School of Nursing, Peking University, Beijing 100191, China
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Guo Y, Wang A, Zheng R. Editorial: Reducing health disparities: promoting vulnerable older adults' psychological health. Front Psychol 2023; 14:1187403. [PMID: 37151340 PMCID: PMC10157205 DOI: 10.3389/fpsyg.2023.1187403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 04/06/2023] [Indexed: 05/09/2023] Open
Affiliation(s)
- Yufang Guo
- School of Nursing and Rehabilitation, Shandong University, Jinan, China
- *Correspondence: Yufang Guo
| | - Anni Wang
- School of Nursing, Fudan University, Shanghai, China
| | - Ruishuang Zheng
- Department of Hepatobiliary Cancer, Tianjin Medical University Cancer Hospital and Institute, National Clinical Research Centre for Cancer, Tianjin, China
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36
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Frolova E, Arosio B, Lim WS. Editorial: Intrinsic capacity and resilience vs. frailty: On the way to healthy aging. Front Med (Lausanne) 2023; 10:1155648. [PMID: 36895723 PMCID: PMC9989457 DOI: 10.3389/fmed.2023.1155648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 02/06/2023] [Indexed: 02/23/2023] Open
Affiliation(s)
- Elena Frolova
- The Family Medicine Department, North Western State Medical University, St-Petersburg, Russia
| | - Beatrice Arosio
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Wee Shiong Lim
- Department of Geriatric Medicine, Institute of Geriatrics and Active Aging, Tan Tock Seng Hospital, Singapore, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
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Wang Q, Liu J, Zhou L, Tian J, Chen X, Zhang W, Wang H, Zhou W, Gao Y. Usability evaluation of mHealth apps for elderly individuals: a scoping review. BMC Med Inform Decis Mak 2022; 22:317. [PMID: 36461017 PMCID: PMC9717549 DOI: 10.1186/s12911-022-02064-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Accepted: 11/23/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Usability is a key factor affecting the acceptance of mobile health applications (mHealth apps) for elderly individuals, but traditional usability evaluation methods may not be suitable for use in this population because of aging barriers. The objectives of this study were to identify, explore, and summarize the current state of the literature on the usability evaluation of mHealth apps for older adults and to incorporate these methods into the appropriate evaluation stage. METHODS Electronic searches were conducted in 10 databases. Inclusion criteria were articles focused on the usability evaluation of mHealth apps designed for older adults. The included studies were classified according to the mHealth app usability evaluation framework, and the suitability of evaluation methods for use among the elderly was analyzed. RESULTS Ninety-six articles met the inclusion criteria. Research activity increased steeply after 2013 (n = 92). Satisfaction (n = 74) and learnability (n = 60) were the most frequently evaluated critical measures, while memorability (n = 13) was the least evaluated. The ratios of satisfaction, learnability, operability, and understandability measures were significantly related to the different stages of evaluation (P < 0.05). The methods used for usability evaluation were questionnaire (n = 68), interview (n = 36), concurrent thinking aloud (n = 25), performance metrics (n = 25), behavioral observation log (n = 14), screen recording (n = 3), eye tracking (n = 1), retrospective thinking aloud (n = 1), and feedback log (n = 1). Thirty-two studies developed their own evaluation tool to assess unique design features for elderly individuals. CONCLUSION In the past five years, the number of studies in the field of usability evaluation of mHealth apps for the elderly has increased rapidly. The mHealth apps are often used as an auxiliary means of self-management to help the elderly manage their wellness and disease. According to the three stages of the mHealth app usability evaluation framework, the critical measures and evaluation methods are inconsistent. Future research should focus on selecting specific critical measures relevant to aging characteristics and adapting usability evaluation methods to elderly individuals by improving traditional tools, introducing automated evaluation tools and optimizing evaluation processes.
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Affiliation(s)
- Qiuyi Wang
- Clinical Nursing Department, Naval Medical University, 800 Xiang Yin Road, Yangpu District, Shanghai, 200433, China
| | - Jing Liu
- Clinical Nursing Department, Naval Medical University, 800 Xiang Yin Road, Yangpu District, Shanghai, 200433, China
| | - Lanshu Zhou
- Clinical Nursing Department, Naval Medical University, 800 Xiang Yin Road, Yangpu District, Shanghai, 200433, China.
| | - Jing Tian
- Clinical Nursing Department, Naval Medical University, 800 Xiang Yin Road, Yangpu District, Shanghai, 200433, China
| | - Xuemei Chen
- Clinical Nursing Department, Naval Medical University, 800 Xiang Yin Road, Yangpu District, Shanghai, 200433, China
| | - Wei Zhang
- Clinical Nursing Department, Naval Medical University, 800 Xiang Yin Road, Yangpu District, Shanghai, 200433, China
| | - He Wang
- Clinical Nursing Department, Naval Medical University, 800 Xiang Yin Road, Yangpu District, Shanghai, 200433, China
| | - Wanqiong Zhou
- Clinical Nursing Department, Naval Medical University, 800 Xiang Yin Road, Yangpu District, Shanghai, 200433, China
| | - Yitian Gao
- Clinical Nursing Department, Naval Medical University, 800 Xiang Yin Road, Yangpu District, Shanghai, 200433, China
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Li J, Chhetri JK, Ma L. Physical resilience in older adults: Potential use in promoting healthy aging. Ageing Res Rev 2022; 81:101701. [PMID: 35905815 DOI: 10.1016/j.arr.2022.101701] [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: 05/21/2022] [Revised: 07/06/2022] [Accepted: 07/25/2022] [Indexed: 01/31/2023]
Abstract
Physical resilience is a dynamic concept referring to the physiological response when the body is exposed to stressors. The level of physical resilience is the sum of underlying physiological reserves. Moreover, it may not only be determined by age, genetics, or exposure to a variety of diseases, but is also closely related to the psychological, social, and environmental factors of an individual. This paper summarizes our present understanding of the relationship between physical resilience and other concepts closely related to it. Furthermore, we illustrate the current research progress on physical resilience models and clinical resilience assessment. Besides, this paper intends to present a better understanding of physical resilience and its use in treatment decision-making, personalized diagnosis and disease management, and prevention and rehabilitation strategies.
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Affiliation(s)
- Jiatong Li
- Department of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China
| | - Jagadish K Chhetri
- Department of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China.
| | - Lina Ma
- Department of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China.
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Lin S, Wang F, Zheng J, Yuan Y, Huang F, Zhu P. Intrinsic Capacity Declines with Elevated Homocysteine in Community-Dwelling Chinese Older Adults. Clin Interv Aging 2022; 17:1057-1068. [PMID: 35832608 PMCID: PMC9272847 DOI: 10.2147/cia.s370930] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 06/26/2022] [Indexed: 12/16/2022] Open
Abstract
Purpose Intrinsic capacity (IC) reflects the overall health status of older adults and has great public health significance. But few studies described the related biomarkers for IC. The aim of this study was to investigate the association between homocysteine (Hcy) and IC in older adults. Participants and Methods This cross-sectional study included 1927 community-dwelling Chinese older adults aged 60–98 years from May 2020 to December 2020. Data were collected through interviews, physical examinations, and laboratory tests. IC involved five domains of cognition, locomotion, sensory, vitality, and psychology evaluated by the Mini-cog scale, 4-m walk test, self-reported visual and hearing conditions, MNA-SF scale, and GDS-4 scale, respectively. The score of each domain dichotomized as 0 (normal) and 1 (impaired) was added together to an IC total score. Low IC was defined as a score of 3–5, and high IC as 0–2. Hcy was measured by a two-reagent enzymatic assay. A restricted cubic spline regression model was used to explore the non-linear relationship between Hcy and low IC. Results Hcy was higher in the low IC group than in the high IC group. Restricted cubic spline analysis revealed a J-shaped nonlinear association between Hcy and low IC. The risk of IC decline was slowly decreased until 8.53 µmol/L of Hcy (OR=0.753, 95% CI=0.520–1.091, P=0.132), and increased with elevations of per 5 µmol/L Hcy afterwards (OR=1.176, 95% CI=1.059–1.327, P=0.005). Among the five domains of IC, Hcy had ORs of 1.116 (1.009–1.247) for cognition impairment, 1.167 (1.055–1.305) for vitality, and 1.160 (1.034–1.303) for psychology per 5 µmol/L increase in Hcy above the change point. Additional sensitivity analysis also demonstrated the nonlinear association between Hcy and low IC. Conclusion Hcy had a J-shaped association with low IC. Higher Hcy (Hcy ≥8.53µmol/L) might provide clinical implications for early identifying the risk of low IC.
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Affiliation(s)
- Siyang Lin
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, People's Republic of China.,Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, Fujian, People's Republic of China
| | - Fang Wang
- Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, Fujian, People's Republic of China.,Fujian Health College, Fuzhou, Fujian, People's Republic of China.,Nursing School of Fujian Medical University, Fuzhou, Fujian, People's Republic of China
| | - Jiaxin Zheng
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, People's Republic of China.,Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, Fujian, People's Republic of China
| | - Yin Yuan
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, People's Republic of China.,Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, Fujian, People's Republic of China.,Fujian Provincial Center for Geriatrics, Fuzhou, Fujian, People's Republic of China.,Fujian Provincial Key Laboratory of Geriatrics, Fuzhou, Fujian, People's Republic of China
| | - Feng Huang
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, People's Republic of China.,Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, Fujian, People's Republic of China.,Fujian Provincial Center for Geriatrics, Fuzhou, Fujian, People's Republic of China.,Fujian Provincial Key Laboratory of Geriatrics, Fuzhou, Fujian, People's Republic of China
| | - Pengli Zhu
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, People's Republic of China.,Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, Fujian, People's Republic of China.,Fujian Provincial Center for Geriatrics, Fuzhou, Fujian, People's Republic of China.,Fujian Provincial Key Laboratory of Geriatrics, Fuzhou, Fujian, People's Republic of China
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40
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The potential of assessment based on the WHO framework of intrinsic capacity in fragility fracture prevention. Aging Clin Exp Res 2022; 34:2635-2643. [PMID: 35829991 DOI: 10.1007/s40520-022-02186-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 06/14/2022] [Indexed: 11/01/2022]
Abstract
The risk of falls associated with population ageing and the burden of chronic diseases increase the risk of fragility fractures. Globally, a large increase in the numbers of people sustaining fragility fractures is predicted. The management of highly vulnerable older persons who present and/or are at risk of fragility fractures is challenging given their clinical complexity and the fragmentation of the healthcare services. Fragility fractures frequently result in reduced functional ability and quality of life. Therefore, it is essential to implement person-centered models of care to address the individual's priorities and needs. In this context, the multidimensional construct of intrinsic capacity, composed of the critical functions on which the individual's functional ability rely, becomes of particular interest.In this article, the potential of current models to meet the global challenge is considered, particularly where healthcare systems are less integrated and poorly structured. It then describes how assessment of intrinsic capacity might provide the clinician with a holistic picture of an older individual's reserves before and after a fragility fracture and the implications of implementing this approach based on the construct of intrinsic capacity in healthcare systems, in both well-developed and low-resourced settings. It suggests that optimization of intrinsic capacity and functional ability is a credible conceptual model and might support a generally feasible approach to primary and secondary fracture prevention in older people.
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Combined effects of handgrip strength and sensory impairment on the prevalence of cognitive impairment among older adults in Korea. Sci Rep 2022; 12:6713. [PMID: 35468923 PMCID: PMC9039062 DOI: 10.1038/s41598-022-10635-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 04/11/2022] [Indexed: 11/19/2022] Open
Abstract
Older adults commonly experience concurrent lower handgrip strength and sensory impairment. However, previous studies have analyzed the individual effects of either handgrip strength or sensory impairment on cognitive impairment. To address this gap, this study investigated the combined effects of handgrip strength and sensory impairment on cognitive impairment among older adults. In total, 2930 participants aged 65 and older were analyzed using 2014–2018 data from the Korean Longitudinal Study of Aging. Participants underwent assessments of handgrip strength (grip dynamometer), sensory impairment (self-reported responses), and cognitive impairment (Korean version of the Mini-Mental State Examination). Low handgrip strength, compared to normal handgrip strength, was associated with cognitive impairment. In participants with low handgrip strength, vision and hearing impairment were associated with cognitive impairment (odds ratio [OR] 1.36, 95% confidence interval [CI] 1.06–1.75; OR 2.58, 95% CI 1.77–3.78, respectively) compared to those with normal handgrip strength. Participants with low handgrip strength and dual sensory impairment had the highest OR for cognitive impairment (OR 3.73, 95% CI 2.65–5.25). Due to the strong association of low handgrip strength and dual sensory impairment with cognitive impairment, people living with low handgrip strength and dual sensory impairment should be classified as a high-risk group for cognitive impairment and should be prioritized for interventions.
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Zhou Y, Ma L. Intrinsic Capacity in Older Adults: Recent Advances. Aging Dis 2022; 13:353-359. [PMID: 35371613 PMCID: PMC8947834 DOI: 10.14336/ad.2021.0818] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 08/18/2021] [Indexed: 12/22/2022] Open
Abstract
The global increase in the aging population is expected to result in a shift from disease-centered to function-centered approaches in response to intensive aging. Thus, the World Health Organization (WHO) has proposed a novel concept, intrinsic capacity (IC), which refers to the combination of one’s physical and mental abilities. The IC framework comprises cognition, mobility, psychological, vitality, and sensory functions. WHO also issued the Guidelines on Integrated Care for Older People (ICOPE) in 2017 and the Handbook: Guidance on person-centred assessment and pathways in primary carein 2019 to provide recommendations for community-level interventions and clinical practice, respectively. Recently, studies on the assessment of IC and verification of IC measurement have been proliferating. In this study, we reviewed the recent advances in IC research with older adults.
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Affiliation(s)
- Yaru Zhou
- Department of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Lina Ma
- Department of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Disorders, Beijing, China
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43
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Hu FW, Lin CH, Yueh FR, Lo YT, Lin CY. Development and psychometric evaluation of the Physical Resilience Instrument for Older Adults (PRIFOR). BMC Geriatr 2022; 22:229. [PMID: 35313802 PMCID: PMC8935854 DOI: 10.1186/s12877-022-02918-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 03/09/2022] [Indexed: 11/10/2022] Open
Abstract
Background Physical resilience is known to minimize the adverse outcomes of health stressors for older people. However, validated instruments that assess physical resilience in older adults are rare. Therefore, we aimed to validate the Physical Resilience Instrument for Older Adults (PRIFOR) to fill the literature gap. Methods Content analysis with content validity was first carried out to generate relevant items assessing physical resilience for older adults, and 19 items were developed. Psychometric evaluation of the 19 items was then tested on 200 older adults (mean [SD] age = 76.4 [6.6] years; 51.0% women) for item properties, factor structure, item fit, internal consistency, criterion-related validity, and known-group validity. Results All 19 items had satisfactory item properties, as they were normally distributed (skewness = -1.03 to 0.38; kurtosis = -1.05 to 0.32). However, two items were removed due to substantial ceiling effects. The retained 17 items were embedded in three factors as suggested by the exploratory factor analysis (EFA) results. All items except one had satisfactory item fit statistics in Rasch model; thus, the unidimensionality was supported for the three factors on 16 items. The retained 16 items showed promising properties in known-group validity, criterion-related validity, and internal consistency (α = 0.94). Conclusions The 16-item PRIFOR exhibits good psychometric properties. Using this instrument to measure physical resilience would be beneficial to identify factors that could protect older people from negative health consequence. With the use of the PRIFOR, intervention effects could also be evaluated. It is helpful to strengthen resilience and thereby facilitate successful aging. Supplementary Information The online version contains supplementary material available at 10.1186/s12877-022-02918-7.
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Affiliation(s)
- Fang-Wen Hu
- Department of Nursing, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, No.138, Sheng-Li Road, Tainan, 70403, Taiwan
| | - Cheng-Han Lin
- Department of Health-Business Administration, Fooyin University, No.151, Jinxue Road, Kaohsiung, 83102, Taiwan
| | - Fang-Ru Yueh
- Department of Nursing, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, No.138, Sheng-Li Road, Tainan, 70403, Taiwan
| | - Yu-Tai Lo
- Department of Geriatrics and Gerontology, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, No.138, Sheng-Li Road, Tainan, 70403, Taiwan
| | - Chung-Ying Lin
- Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, No. 1, University Road, Tainan, 70101, Taiwan. .,Department of Occupational Therapy, College of Medicine, National Cheng Kung University, Tainan, 70101, Taiwan. .,Department of Public Health, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, 70101, Taiwan. .,Biostatistics Consulting Center, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, 70101, Taiwan.
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Merchant RA, Aprahamian I, Woo J, Vellas B, Morley JE. Editorial: Resilience And Successful Aging. J Nutr Health Aging 2022; 26:652-656. [PMID: 35842754 PMCID: PMC9209635 DOI: 10.1007/s12603-022-1818-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 06/08/2022] [Indexed: 11/23/2022]
Affiliation(s)
- Reshma A Merchant
- Dr Reshma A Merchant, Division of Geriatric Medicine. Department of Medicine, 1E Kent Ridge Road, NUHS Tower Block, Singapore 119228. , ORCID iD: 0000-0002-9032-0184
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Zhao J, Chhetri JK, Chang Y, Zheng Z, Ma L, Chan P. Intrinsic Capacity vs. Multimorbidity: A Function-Centered Construct Predicts Disability Better Than a Disease-Based Approach in a Community-Dwelling Older Population Cohort. Front Med (Lausanne) 2021; 8:753295. [PMID: 34651003 PMCID: PMC8505775 DOI: 10.3389/fmed.2021.753295] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 08/30/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: This study aimed to assess the status of intrinsic capacity (IC)—a novel function-centered construct proposed by the WHO and examine whether impairment in IC predicts subsequent 1-year activities of daily living (ADL) disability better than a disease-based approach, i. e., multimorbidity status. Methods: This study included data of community-dwelling older adults from the Beijing Longitudinal Study on Aging II aged 65 years or older who were followed up at 1 year. Multivariate logistic regressions were performed to estimate the odds of ADL disability at baseline and 1-year follow-up. Results: A total of 7,298 older participants aged 65 years or older were included in the current study. About 4,742 older adults were followed up at 1 year. At baseline, subjects with a higher impairment in IC domains showed higher odds of ADL disability [adj. odds ratio (OR) = 9.51 for impairment in ≥3 domains, area under the curve (AUC) = 0.751] compared to much lower odds of ADL disability in subjects with a higher number (≥3) of chronic diseases (adj. OR 3.92, AUC = 0.712). At 1-year follow-up, the overall incidence of ADL disability increased with the impairment in IC domains higher than the increase in multimorbidity status. A higher impairment in IC domains showed higher odds of incidence ADL disability for impairment in 2 or ≥3 IC domains (adj. OR 2.32 for impairment in ≥3 domains, adj. OR 1.43 for impairment in two domains, AUC = 0.685). Only subjects who had ≥3 chronic diseases had higher odds of 1-year incident ADL disability (adj. OR 1.73, AUC = 0.681) that was statistically significant. Conclusion: Our results imply that a function-centered construct could have higher predictability of disability compared to the multimorbidity status in community older people. Our results need to be confirmed by studies with longer follow-up.
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Affiliation(s)
- Jing Zhao
- Department of Geriatrics, Neurology and Neurobiology, National Clinical Research Center for Geriatric Disease, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Jagadish K Chhetri
- Department of Geriatrics, Neurology and Neurobiology, National Clinical Research Center for Geriatric Disease, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yi Chang
- Department of Respiration, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Zheng Zheng
- Department of Geriatrics, Neurology and Neurobiology, National Clinical Research Center for Geriatric Disease, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Lina Ma
- Department of Geriatrics, Neurology and Neurobiology, National Clinical Research Center for Geriatric Disease, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Piu Chan
- Department of Geriatrics, Neurology and Neurobiology, National Clinical Research Center for Geriatric Disease, Xuanwu Hospital of Capital Medical University, Beijing, China.,Key Laboratory for Neurodegenerative Disease of the Ministry of Education, Beijing Key Laboratory for Parkinson's Disease, Parkinson Disease Center of Beijing Institute for Brain Disorders, Beijing, China.,Clinical Center for Parkinson's Disease, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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46
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Falchetti A, Capodaglio P. What Do We Talk About When We Talk About Frailty? FRONTIERS IN REHABILITATION SCIENCES 2021; 2:633961. [PMID: 36188860 PMCID: PMC9397822 DOI: 10.3389/fresc.2021.633961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 07/19/2021] [Indexed: 11/13/2022]
Affiliation(s)
- Alberto Falchetti
- Bone Unit, S Giuseppe Hospital, IRCCS Istituto Auxologico Italiano, Piancavallo, Italy
- Endocrine and Metabolic Research Laboratory, Istituto Auxologico Italiano, Milan, Italy
| | - Paolo Capodaglio
- Rehabilitation Unit and Research Laboratory in Biomechanics and Rehabilitation, S Giuseppe Hospital, IRCCS Istituto Auxologico Italiano, Piancavallo, Italy
- Department of Surgical Sciences, Physical and Rehabilitation Medicine, University of Torino, Torino, Italy
- *Correspondence: Paolo Capodaglio
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