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Lo YT, Su HC, Chuenchomnoy C, Liao TW, Wu YL, Tam SH, Liu CH, Chou CW, Yang YC, Chen YH, Chen YC. Umbrella review of nonpharmacological interventions for intrinsic capacity in older adults. Ageing Res Rev 2025; 108:102742. [PMID: 40194665 DOI: 10.1016/j.arr.2025.102742] [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: 09/03/2024] [Revised: 03/12/2025] [Accepted: 04/03/2025] [Indexed: 04/09/2025]
Abstract
PURPOSE This study aims to synthesize existing evidence on the effectiveness of nonpharmacological interventions designed to increase the intrinsic capacity (IC) of community-dwelling older adults. METHODS An umbrella review of systematic reviews from 2015 to October 31, 2024, with no language restrictions, was conducted. The review included five databases, including Embase, Ovid MEDLINE, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), the Cochrane Central Register of Controlled Trials (CENTRAL), and the Joanna Briggs Institute (JBI) Library. Studies followed the preferred reporting items for overviews of reviews (PRIOR) statement. Eligible studies were systematic review and meta-analysis (SRMAs) that included any type of research aimed at enhancing IC in community-dwelling older adults (aged ≥60 years). The interventions covered seven domains: locomotion, vitality, cognitive function, psychological health, sensory function, sleep, and continence. Risk of bias and study quality were extracted via the AMSTAR tool, and GRADE approach was applied to assess the certainty of evidence. FINDINGS Out of 6407 initially identified articles, 29 SRMAs comprising 400 studies with a total sample size of 43,849 participants were included. Mobility-focused interventions were the most studied among the seven domains of IC. Moderate to low-quality evidence supports the effectiveness of intrinsic foot muscle strengthening and gait/muscle training for improving locomotor functions in older adults with frailty or acute functional decline. Nonpharmacological interventions targeting cognitive and psychological functions ranked second in the volume of available evidence. No effective sensory or continence interventions were identified. Overall, interventions have demonstrated varying effectiveness, with impacts ranging from moderate to very low across the domains of IC. INTERPRETATIONS This umbrella review provides a comprehensive assessment of nonpharmacological interventions for enhancing IC in older adults, highlighting the effectiveness of mobility/muscle strength training for improving locomotor function among frail older adult or those experiencing functional decline. However, the evidence for interventions targeting other IC domains remains limited, particularly for sensory function, and continence management. Future research should prioritize high-quality trials evaluating interventions in these areas to develop evidence-based guidelines for improving overall IC and promoting healthy aging in older adults.
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Affiliation(s)
- Yu-Tai Lo
- Department of Geriatrics and Gerontology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
| | - Hui-Chen Su
- Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
| | - Chanisara Chuenchomnoy
- Ramathibodi School of Nursing, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand; Department of Nursing, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
| | - Ting-Wei Liao
- Department of Geriatrics and Gerontology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
| | - Yi-Lin Wu
- Department of Nursing, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Nursing, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
| | - Sin-Hang Tam
- Department of Nursing, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; St George's University Hospitals NHS Foundation Trust, London, England, UK.
| | - Chieh-Hsiu Liu
- Department of Family Medicine, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan; School of Medicine, National Tsing Hua University, Taiwan.
| | - Chih-Wen Chou
- Department of Library and Information Science, National Taiwan University, Taipei, Taiwan.
| | - Yi-Ching Yang
- Department of Geriatrics and Gerontology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Family Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
| | - Yen-Hsu Chen
- Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Kaohsiung, Taiwan; College of Medicine, National Sun Yat-sen University, Kaohsiung, Taiwan.
| | - Yen-Chin Chen
- Department of Nursing, College of Medicine, National Cheng Kung University, Tainan, Taiwan; College of Medicine, National Sun Yat-sen University, Kaohsiung, Taiwan.
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Hoogendijk EO, van Schoor NM, Qi Y, Visser M, Swinkels JC, Broese van Groenou MI, Kok AAL, Holwerda TJ, Pasman HRW, Onwuteaka-Philipsen BD, Remmelzwaal S, van Ingen E, van Tilburg TG, van Haaster AC, van der Horst M, Poppelaars J, Deeg DJH, Huisman M. The Longitudinal Aging Study Amsterdam: design and cohort update 2025. Eur J Epidemiol 2025:10.1007/s10654-025-01238-5. [PMID: 40366610 DOI: 10.1007/s10654-025-01238-5] [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: 01/09/2025] [Accepted: 04/22/2025] [Indexed: 05/15/2025]
Abstract
The Longitudinal Aging Study Amsterdam (LASA) is an ongoing prospective cohort study of older adults in the Netherlands, with data on multiple domains of functioning available over a period of more than 30 years of follow-up. The study started in 1992 with a nationally representative sample of older adults aged 55-84 years. Over the years, three refresher cohorts (two cohorts aged 55-64 years in 2002 and in 2012, and one cohort aged 60-86 years in 2024) were added. The main aim of LASA was to describe determinants, trajectories and consequences of (changes in) physical, cognitive, emotional and social functioning. LASA has multiple strengths, including its multidisciplinary character, the very long period of follow-up, and the cohort-sequential design which enables the study of longitudinal changes as well as historical time trends in functioning. So far, findings based on data from LASA have been reported in more than 800 scientific publications (see www.lasa-vu.nl ). In this article, we provide an update of the design and methods of LASA, including a description of several ancillary studies such as the Loneliness study and the COVID-19 study.
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Affiliation(s)
- Emiel O Hoogendijk
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC- Location VU University Medical Center, Amsterdam, The Netherlands.
- Department of General Practice, Amsterdam Public Health Research Institute, Amsterdam UMC- Location VU University Medical Center, Amsterdam, The Netherlands.
| | - Natasja M van Schoor
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC- Location VU University Medical Center, Amsterdam, The Netherlands
| | - Yuwei Qi
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC- Location VU University Medical Center, Amsterdam, The Netherlands
| | - Marjolein Visser
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Joukje C Swinkels
- Department of Sociology, Faculty of Social Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - Almar A L Kok
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC- Location VU University Medical Center, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC- Location VU University Medical Center, Amsterdam, The Netherlands
| | - Tjalling J Holwerda
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC- Location VU University Medical Center, Amsterdam, The Netherlands
| | - H Roeline W Pasman
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC- Location VU University Medical Center, Amsterdam, The Netherlands
| | - Bregje D Onwuteaka-Philipsen
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC- Location VU University Medical Center, Amsterdam, The Netherlands
| | - Sharon Remmelzwaal
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC- Location VU University Medical Center, Amsterdam, The Netherlands
| | - Erik van Ingen
- Department of Sociology, Faculty of Social Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Theo G van Tilburg
- Department of Sociology, Faculty of Social Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Aimée-Claire van Haaster
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC- Location VU University Medical Center, Amsterdam, The Netherlands
| | - Marleen van der Horst
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC- Location VU University Medical Center, Amsterdam, The Netherlands
| | - Jan Poppelaars
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC- Location VU University Medical Center, Amsterdam, The Netherlands
| | - Dorly J H Deeg
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC- Location VU University Medical Center, Amsterdam, The Netherlands
| | - Martijn Huisman
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC- Location VU University Medical Center, Amsterdam, The Netherlands
- Department of Sociology, Faculty of Social Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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Chen X, He L, Shi K, Wen Q, Yu Q, Gao M, Fang Y. Intrinsic Capacity Trajectories: Implications for Subsequent Falls and Hospitalizations Among Older Adults. J Gerontol A Biol Sci Med Sci 2025; 80:glaf017. [PMID: 40072040 DOI: 10.1093/gerona/glaf017] [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: 04/22/2024] [Indexed: 04/20/2025] Open
Abstract
BACKGROUND Intrinsic capacity (IC) is the composite of an individual's physical and mental capacities. However, the association between IC trajectories and falls and hospitalizations remains uncertain. This study aimed to determine the IC trajectories among older adults, investigating its association with subsequent risk of falls and hospitalizations. METHODS This study enrolled 3 902 older adults aged ≥65 from the National Health and Aging Trends Study (Wave 2015-2019). A bifactor model was used for repeated measurements of the 5 IC domains to generate IC scores for 4 time points (Wave 2015-2018). IC trajectories were identified using group-based trajectory modeling, and modified Poisson regression was used to analyze the associations between IC trajectories and subsequent fall and hospitalization risk. RESULTS The mean age of the participants was 76.70 years (standard deviation = 6.78), and the majority were female (57.3%). Three IC trajectories were identified, including persistently low (17.86%), persistently moderate (33.96%), and persistently high (48.18%). Compared with the persistently low class, the moderate and high classes have significantly lower fall and hospitalization risks. Multivariate-adjusted rate ratios fall occurrence were 0.87 (95% confidence interval [CI]: 0.78-0.98) and 0.74 (95% CI: 0.65-0.85), for multiple falls were 0.81 (95% CI: 0.68-0.96) and 0.52 (95% CI: 0.41-0.66), for hospitalization occurrence were 0.76 (95% CI: 0.66-0.87) and 0.48 (95% CI: 0.39-0.58), and for multiple hospitalizations were 0.65 (95% CI: 0.53-0.80) and 0.37 (95% CI: 0.28-0.48), respectively. CONCLUSIONS IC trajectories were associated with falls and hospitalizations. Strategies focusing on improving and maintaining IC at a higher level over time could help reduce the subsequent risk of falls and hospitalizations.
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Affiliation(s)
- Xiaodong Chen
- School of Public Health, Xiamen University, Xiamen, China
| | - Lingxiao He
- School of Public Health, Xiamen University, Xiamen, China
| | - Kewei Shi
- School of Public Health, Xiamen University, Xiamen, China
| | - Qihui Wen
- School of Public Health, Xiamen University, Xiamen, China
| | - Qianqian Yu
- School of Public Health, Xiamen University, Xiamen, China
| | - Mingyue Gao
- School of Public Health, Xiamen University, Xiamen, China
| | - Ya Fang
- School of Public Health, Xiamen University, Xiamen, China
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Ennis E, Bond R, Mulvenna M, Sweeney C. Understanding Individual Differences in Happiness Sources and Implications for Health Technology Design: Exploratory Analysis of an Open Dataset. JMIR Form Res 2025; 9:e65658. [PMID: 39879609 PMCID: PMC11822315 DOI: 10.2196/65658] [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: 08/21/2024] [Revised: 12/17/2024] [Accepted: 12/18/2024] [Indexed: 01/31/2025] Open
Abstract
BACKGROUND Psychologists have developed frameworks to understand many constructs, which have subsequently informed the design of digital mental health interventions (DMHIs) aimed at improving mental health outcomes. The science of happiness is one such domain that holds significant applied importance due to its links to well-being and evidence that happiness can be cultivated through interventions. However, as with many constructs, the unique ways in which individuals experience happiness present major challenges for designing personalized DMHIs. OBJECTIVE This paper aims to (1) present an analysis of how sex may interact with age, marital status, and parental status to predict individual differences in sources of happiness, and (2) to present a preliminary discussion of how open datasets may contribute to the process of designing health-related technology innovations. METHODS The HappyDB is an open database of 100,535 statements of what people consider to have made them happy, with some people asking to consider the past 24 hours (49,831 statements) and some considering the last 3 months (50,704 statements). Demographic information is also provided. Binary logistic regression analyses are used to determine whether various groups differed in their likelihood of selecting or not selecting a category as a source of their happiness. RESULTS Sex and age interacted to influence what was selected as sources of happiness, with patterns being less consistent among female individuals in comparison with male individuals. For marital status, differences in sources of happiness were predominantly between married individuals and those who are divorced or separated, but these were the same for both sexes. Married, single, and widowed individuals were all largely similar in their likelihood of selecting each of the categories as a source of their happiness. However, there were some anomalies, and sex appeared to be important in these anomalies. Sex and parental status also interacted to influence what was selected as sources of happiness. CONCLUSIONS Sex interacts with age, marital status, and parental status in the likelihood of reporting affection, bonding, leisure, achievement, or enjoying the moment as sources of happiness. The contribution of an open dataset to understanding individual differences in sources of happiness is discussed in terms of its potential role in addressing the challenges of designing DMHIs that are ethical, responsible, evidence based, acceptable, engaging, inclusive, and effective for users. The discussion considers how the content design of DMHIs in general may benefit from exploring new methods informed by diverse data sources. It is proposed that examining the extent to which insights from nondigital settings can inform requirements gathering for DMHIs is warranted.
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Affiliation(s)
- Edel Ennis
- School of Psychology, Ulster University, Coleraine, United Kingdom
| | - Raymond Bond
- School of Computing, Ulster University, Belfast, United Kingdom
| | | | - Colm Sweeney
- School of Psychology, Ulster University, Coleraine, United Kingdom
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Ma L, Zheng E, Fang Y, Chen H, Zhou C, Cai S, Luo F, Jiang W, Wang J, Ning X, Tu H, Yin Z. Sensitivity and Specificity of Three Measures of Intrinsic Capacity in Older People Aged 80 and Over in Nursing Homes. Clin Interv Aging 2024; 19:2179-2194. [PMID: 39759395 PMCID: PMC11699827 DOI: 10.2147/cia.s486663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Accepted: 12/17/2024] [Indexed: 01/07/2025] Open
Abstract
Purpose Intrinsic capacity (IC), a crucial indicator for the United Nations Decade of Healthy Ageing 2021-2030, is defined by WHO as the foundation of functional ability, representing the composite of all physical and mental capacities of an individual. IC spans five function domains: Locomotor, psychological, cognitive, vitality, and sensory (including vision and hearing). Accurate IC assessment is vital for effective interventions, yet comparative analyses of these tools are scarce. Consequently, we evaluated the diagnostic accuracy of three IC assessment tools in individuals aged 80 and above-Integrated care for older people (ICOPE) Step 1, ICOPE Step 2, and the Lopez-Ortiz's IC scoring system. Patients and Methods This cross-sectional analysis included a total of 475 participants aged ≥80 years between July 2023 and January 2024 in 11 nursing homes in Ningbo, Zhejiang Province, China. To assess that included sociodemographic and health-related information alongside the three IC tools. Diagnostic efficacy was gauged using sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), accuracy, Youden index, and the area under the curve (AUC). Results The detection of IC decline exceeded 85% across all methods. Using ICOPE Step 2 as a benchmark, ICOPE Step 1 showed robust performance across four domains of locomotion, psychological, cognitive, and vitality, whereas the Lopez-Ortiz's IC scoring system was generally ineffective. Conclusion All three IC assessment methods have limitations. To save resources, ICOPE Step 1 can be considered for direct assessment in non-sensory domains. Conversely, the ICOPE Step 2 and Lopez-Ortiz's IC scoring systems exhibited overly stringent and lenient thresholds, respectively. At this stage, IC assessment tools cannot balance subjectivity and objectivity; thus, it is recommended that the appropriate tool be selected according to actual application scenarios. Continuous improvement of IC assessment tools remains a requirement for future studies.
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Affiliation(s)
- Linlin Ma
- School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
- The Affiliated People’s Hospital of Ningbo University, Ningbo, Zhejiang, People’s Republic of China
| | - Enjie Zheng
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
| | - Yi Fang
- School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
| | - Huixian Chen
- School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
| | - Chuncong Zhou
- Nursing Department, Naval Hospital of Eastern Theater, Zhoushan, Zhejiang, People’s Republic of China
| | - Shuya Cai
- School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
| | - Fen Luo
- School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
| | - Wen Jiang
- School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
| | - Jialu Wang
- School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
- Department of Nursing, Ningbo No. 6 Hospital, Ningbo, Zhejiang, People’s Republic of China
| | - Xiangxiang Ning
- College of Nursing, Ningbo College of Health Sciences, Ningbo, Zhejiang, People’s Republic of China
| | - Haixia Tu
- School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
| | - Zhiqin Yin
- School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
- Wenzhou Health Promotion Research Center, Wenzhou, Zhejiang, People’s Republic of China
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Qi Y, Schaap LA, Schalet BD, Hoogendijk EO, Deeg DJH, Visser M, Koivunen K, Huisman M, van Schoor NM. The development of intrinsic capacity measures for longitudinal research: The Longitudinal Aging Study Amsterdam. Exp Gerontol 2024; 197:112599. [PMID: 39366460 DOI: 10.1016/j.exger.2024.112599] [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: 08/02/2024] [Revised: 09/13/2024] [Accepted: 09/26/2024] [Indexed: 10/06/2024]
Abstract
BACKGROUND The World Health Organization has introduced the construct of intrinsic capacity (IC) as an important component of healthy ageing and overall well-being in older adults The present study aimed to develop domain-specific and composite IC scores and to validate these scores by examining their longitudinal relation with functioning. METHODS We used prospective data on participants aged 57 to over 90 years, with a 10-year follow-up, from the Longitudinal Aging Study Amsterdam, an ongoing cohort study of older Dutch men and women Using a formative, stepwise approach, we identified indicators across the different domains of IC, i.e. vitality, sensory, cognition, psychology, and locomotion, using a combination of unidimensional factor analyses and Partial Least Squares Structural Equation Modelling (PLS-SEM). Next, domain-specific and composite IC scores were generated, and the construct validity (score across age groups) and criterion validity (relationship with change in functional limitations) were assessed. RESULTS The multiple unidimensional factor analyses and PLS-SEM identified a total of 18 indicators, covering the five domains of IC. The mean composite IC score was 70.9 (SD = 0.9) in men and 69.7 (0.8) in women. The domain-specific and composite IC scores all showed good construct validity, with known-group validation results indicating age-related declines. A higher composite IC score was associated with less functional limitations over time (B = 0.20, 95%CI [0.19, 0.22]). CONCLUSION The developed domain-specific IC scores and the composite IC score effectively discriminated age-related declines in IC. Additionally, the composite IC score was longitudinally associated with functional limitations. By creating this comprehensive and reliable tool for tracking IC, we aim to provide valuable insights into the dynamics of ageing and support more effective strategies for promoting health and well-being throughout later life. These scores establish a foundation for future research to track longitudinal changes across various IC domains and relate these changes to key age-related outcomes.
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Affiliation(s)
- Yuwei Qi
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science, the Netherlands.
| | - Laura A Schaap
- Aging and Later Life, Amsterdam Public Health Research Institute, the Netherlands; Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, the Netherlands
| | - Benjamin D Schalet
- Amsterdam University Medical Centers, Department of Epidemiology and Data Science, the Netherlands; Amsterdam Public Health, Methodology, Amsterdam, The Netherlands
| | - Emiel O Hoogendijk
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science, the Netherlands; Aging and Later Life, Amsterdam Public Health Research Institute, the Netherlands; Department of General Practice, Amsterdam UMC Location Vrije Universiteit Amsterdam, the Netherlands
| | - Dorly J H Deeg
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science, the Netherlands
| | - Marjolein Visser
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, the Netherlands
| | - Kaisa Koivunen
- Faculty of Sport and Health Sciences and Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland
| | - Martijn Huisman
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science, the Netherlands; Aging and Later Life, Amsterdam Public Health Research Institute, the Netherlands; Department of Sociology, Vrije Universiteit Amsterdam, the Netherlands
| | - Natasja M van Schoor
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science, the Netherlands; Aging and Later Life, Amsterdam Public Health Research Institute, the Netherlands
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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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8
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Pérez-Castejón JM, Formiga F. [Frailty and intrinsic capacity; from theoretical concept to clinical applicability]. Rev Esp Geriatr Gerontol 2024; 59:101483. [PMID: 38554457 DOI: 10.1016/j.regg.2024.101483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 02/13/2024] [Indexed: 04/01/2024]
Affiliation(s)
- Juan Manuel Pérez-Castejón
- Unidad Docente, Hospital Municipal de Badalona y Centre Sociosanitari El Carme, Badalona Serveis Assistencials. Badalona, Barcelona, España.
| | - Francesc Formiga
- Sección de Geriatría, Servicio de Medicina Interna, Hospital Universitari de Bellvitge, IDIBELL, L'Hospitalet de Llobregat, Barcelona, España
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Cacciatore S, Marzetti E, Calvani R, Picca A, Salini S, Russo A, Tosato M, Landi F. Intrinsic capacity and recent falls in adults 80 years and older living in the community: results from the ilSIRENTE Study. Aging Clin Exp Res 2024; 36:169. [PMID: 39126523 DOI: 10.1007/s40520-024-02822-7] [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: 05/06/2024] [Accepted: 07/25/2024] [Indexed: 08/12/2024]
Abstract
BACKGROUND Falls in older adults significantly impact overall health and healthcare costs. Intrinsic capacity (IC) reflects functional reserve and is an indicator of healthy aging. AIMS To explore the association between IC and recent falls (≤ 90 days) in community-dwelling octogenarians from the Aging and Longevity in the Sirente geographic area (IlSIRENTE) study. METHODS The Minimum Data Set for Home Care (MDS-HC) and supplementary questionnaires and tests were used to assess the five IC domains: locomotion, cognition, vitality, psychology, and sensory. Scores in each domain were rescaled using the percent of maximum possible score method and averaged to obtain an overall IC score (range 0-100). RESULTS The study included 319 participants (mean age 85.5 ± 4.8 years, 67.1% women). Mean IC score was 80.5 ± 14.2. The optimal IC score cut-off for predicting the two-year risk of incident loss of at least one activity of daily living (ADL) was determined and validated in a subset of 240 individuals without ADL disability at baseline (mean age 84.7 ± 4.4 years, 67.1% women). Participants were then stratified into low (< 77.6) and high (≥ 77.6) IC categories. Those with high IC (63.9%) were younger, more often males, and had lower prevalence of recent falls, disability, multimorbidity, and polypharmacy. Logistic regression models including IC as a continuous variable revealed a significant association between higher IC and lower odds of falls. This association was significant in the unadjusted (odds ratio [OR] 0.96, 95% confidence interval [CI] 0.94-0.98, p < 0.001), age- and sex-adjusted (OR 0.96, 95% CI 0.94-0.98, p < 0.001), and fully adjusted models (OR 0.96, 95% CI 0.93-0.99, p = 0.003). When considering IC as a categorical variable, unadjusted logistic regression showed a strong association between high IC and lower odds of falls (OR 0.31, 95% CI 0.16-0.60, p < 0.001). This association remained significant in both the age- and sex-adjusted (OR 0.30, 95% CI 0.15-0.59, p < 0.001) and fully adjusted models (OR 0.33, 95% CI 0.16-0.82, p = 0.007). The locomotion domain was independently associated with falls in the unadjusted (OR 0.98, 95% CI 0.97-0.99, p < 0.001), age- and sex-adjusted (OR 0.97, 95% CI 0.96-0.99, p < 0.001), and fully adjusted model (OR 0.98, 95% CI 0.96-0.99, p < 0.001). DISCUSSION This is the first study using an MDS-HC-derived instrument to assess IC. Individuals with higher IC were less likely to report recent falls, with locomotion being an independently associated domain. CONCLUSIONS Lower IC is linked to increased odds of falls. Interventions to maintain and improve IC, especially the locomotion domain, may reduce fall risk in community-dwelling octogenarians.
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Affiliation(s)
- Stefano Cacciatore
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, L.go F. Vito 1, Rome, 00168, Italy.
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, Rome, 00168, Italy.
| | - Emanuele Marzetti
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, L.go F. Vito 1, Rome, 00168, Italy
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, Rome, 00168, Italy
| | - Riccardo Calvani
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, L.go F. Vito 1, Rome, 00168, Italy
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, Rome, 00168, Italy
| | - Anna Picca
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, Rome, 00168, Italy
- Department of Medicine and Surgery, LUM University, SS100 km 18, Casamassima, 70100, Italy
| | - Sara Salini
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, Rome, 00168, Italy
| | - Andrea Russo
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, Rome, 00168, Italy
| | - Matteo Tosato
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, Rome, 00168, Italy
| | - Francesco Landi
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, L.go F. Vito 1, Rome, 00168, Italy
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, Rome, 00168, Italy
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Sánchez-Sánchez JL, Lu WH, Gallardo-Gómez D, Del Pozo Cruz B, de Souto Barreto P, Lucia A, Valenzuela PL. Association of intrinsic capacity with functional decline and mortality in older adults: a systematic review and meta-analysis of longitudinal studies. THE LANCET. HEALTHY LONGEVITY 2024; 5:e480-e492. [PMID: 38945130 DOI: 10.1016/s2666-7568(24)00092-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 05/07/2024] [Accepted: 05/08/2024] [Indexed: 07/02/2024] Open
Abstract
BACKGROUND Together with environmental factors, intrinsic capacity (the composite of all the physical and mental capacities of an individual) has been proposed as a marker of healthy ageing. However, whether intrinsic capacity predicts major clinical outcomes is unclear. We aimed to explore the association of intrinsic capacity with functional decline and mortality in older adults. METHODS In this systematic review and meta-analysis, we conducted a systematic search in MEDLINE (via PubMed), Scopus, and Web of Science from database inception to Feb 14, 2024, of observational longitudinal studies conducted in older adults (age ≥60 years) assessing the association of intrinsic capacity with impairment in basic activities of daily living (BADL) or instrumental activities of daily living (IADL) or risk of mortality. Estimates were extracted by two reviewers (JLS-S and W-HL) and were pooled using three-level meta-analytic models. The quality of each study was independently assessed by two authors (JLS-S and PLV) using the Newcastle-Ottawa Scale for longitudinal studies. Heterogeneity was evaluated using the I2 indicator at two levels: within-study (level 2) and between-study (level 3) variation. For associations between intrinsic capacity and IADL and BADL, we transformed data (standardised β coefficients and odds ratios [ORs]) into Pearson product moment correlation coefficients (r) using Pearson and Digby formulas to allow comparability across studies. For associations between intrinsic capacity and risk of mortality, hazard ratios (HRs) with 95% CIs were extracted from survival analyses. This study is registered with PROSPERO, CRD42023460482. FINDINGS We included 37 studies (206 693 participants; average age range 65·3-85·9 years) in the systematic review, of which 31 were included in the meta-analysis on the association between intrinsic capacity and outcomes; three studies (2935 participants) were included in the meta-analysis on the association between intrinsic capacity trajectories and longitudinal changes in BADL or IADL. Intrinsic capacity was inversely associated with longitudinal impairments in BADL (Pearson's r -0·12 [95% CI -0·19 to -0·04]) and IADL (-0·24 [-0·35 to -0·13]), as well as with mortality risk (hazard ratio 0·57 [95% CI 0·51 to 0·63]). An association was also found between intrinsic capacity trajectories and impairment in IADL (but not in BADL), with maintained or improved intrinsic capacity over time associated with a lower impairment in IADL (odds ratio 0·37 [95% CI 0·19 to 0·71]). There was no evidence of publication bias (Egger's test p>0·05) and there was low between-study heterogeneity (I2=18·4%), though within-study (I2=63·2%) heterogeneity was substantial. INTERPRETATION Intrinsic capacity is inversely associated with functional decline and mortality risk in older adults. These findings could support the use of intrinsic capacity as a marker of healthy ageing, although further research is needed to refine the structure and operationalisation of this construct across settings and populations. FUNDING None. TRANSLATIONS For the Spanish and French translations of the abstract see Supplementary Materials section.
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Affiliation(s)
- Juan Luis Sánchez-Sánchez
- Institute of Aging, Toulouse University Hospital, Toulouse, France; Faculty of Sport Sciences, Universidad Europea de Madrid, Madrid, Spain; IHU HealthAge, Toulouse, France.
| | - Wan-Hsuan Lu
- Institute of Aging, Toulouse University Hospital, Toulouse, France; IHU HealthAge, Toulouse, France
| | - Daniel Gallardo-Gómez
- Epidemiology of Physical Activity and Fitness Across Lifespan Research Group, Department of Physical Education and Sports, Faculty of Education, University of Seville, Seville, Spain
| | - Borja Del Pozo Cruz
- Faculty of Sport Sciences, Universidad Europea de Madrid, Madrid, Spain; Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, Madrid, Spain; Faculty of Education, Department of Physical Education, University of Cádiz, Spain; Biomedical Research and Innovation Institute of Cádiz Research Unit, University of Cádiz, Spain; Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Philipe de Souto Barreto
- Institute of Aging, Toulouse University Hospital, Toulouse, France; IHU HealthAge, Toulouse, France; CERPOP UMR 1295, Inserm, Paul Sabatier University, Toulouse, France
| | - Alejandro Lucia
- Faculty of Sport Sciences, Universidad Europea de Madrid, Madrid, Spain; Physical Activity and Health Research Group, Research Institute of 12 de Octubre University Hospital, Madrid, Spain
| | - Pedro L Valenzuela
- Faculty of Sport Sciences, Universidad Europea de Madrid, Madrid, Spain; Physical Activity and Health Research Group, Research Institute of 12 de Octubre University Hospital, Madrid, Spain; Department of Systems Biology, University of Alcalá, Madrid, Spain
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