1
|
Yong K, Chew J, Low K, Yeo A, Tan CN, Lim JP, Ding YY, Lim WS. Predictive Validity of Intrinsic Capacity Composite Scores for Risk of Frailty at 2 Years: A Comparison of 4 Scales. J Am Med Dir Assoc 2024:105146. [PMID: 39002555 DOI: 10.1016/j.jamda.2024.105146] [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: 01/20/2024] [Revised: 06/01/2024] [Accepted: 06/04/2024] [Indexed: 07/15/2024]
Abstract
OBJECTIVE Intrinsic capacity (IC) and frailty are complementary constructs that encapsulate functional capacities of older adults. Although earlier studies suggest the utility of composite IC scores in predicting risk of frailty, key gaps remain with the lack of direct comparative studies between different IC scales and lack of a composite score based on the World Health Organization Integrated Care for Older People (ICOPE) tool. We aimed to compare different IC scales, including an ICOPE-based scale, in their predictive ability for risk of frailty at 2 years in healthy community-dwelling older adults. DESIGN Cohort study. SETTING AND PARTICIPANTS A total of 230 participants (age: 67.2 ± 7.4 years) from the GeriLABS-2 cohort study. METHODS We derived composite scores by summing 4 IC domains (locomotion, cognition, vitality, and psychological). We compared composite scores of 4 scales: IC1-Chew 2021, range: 0-8; IC2-Liu 2021, range: 0-4; IC3-ICOPE, range: 0-4; IC4-modified ICOPE, range: 0-8. The primary outcome was risk of frailty using the modified Fried Frailty Phenotype. We performed logistic regression to examine the association of baseline composite IC with risk of frailty. We also examined the impact of individual domains and number of impaired domains on risk of frailty. RESULTS Among 193 (83.9%) older adults who completed 2-year follow-up, 20 (10.4%) met criteria for risk of frailty. When adjusted for covariates, 2-point per domain scales (IC1/IC4) predicted increased risk of frailty (OR, 4.31; 95% CI, 1.55-11.96; OR, 5.00; 95% CI, 1.75-14.26). When further adjusted for baseline frailty, only IC4 remained significant (OR, 4.28; 95% CI, 1.45-12.60). Among the domains, impaired locomotion and vitality were associated with risk of frailty. Greater number of impaired domains predicted increased risk of frailty (IC1/IC2: β = 0.18-0.19, P < .05). CONCLUSIONS AND IMPLICATIONS Baseline composite IC score using 2-point per domain scales better predicted risk of frailty at 2 years, predicated on impaired locomotion/vitality and greater number of impaired domains. For early identification of healthy older adults at risk of frailty, an ICOPE-based scale should be considered, as it is effective and accessible.
Collapse
Affiliation(s)
- Kenneth Yong
- Department of Geriatric Medicine, Tan Tock Seng Hospital, Singapore
| | - Justin Chew
- Department of Geriatric Medicine, Tan Tock Seng Hospital, Singapore; Institute of Geriatrics and Active Ageing, Tan Tock Seng Hospital, Singapore
| | - Kristabella Low
- Department of Geriatric Medicine, Woodlands Health, Singapore
| | - Audrey Yeo
- Institute of Geriatrics and Active Ageing, Tan Tock Seng Hospital, Singapore
| | - Cai Ning Tan
- Institute of Geriatrics and Active Ageing, Tan Tock Seng Hospital, Singapore
| | - Jun Pei Lim
- Department of Geriatric Medicine, Tan Tock Seng Hospital, Singapore; Institute of Geriatrics and Active Ageing, Tan Tock Seng Hospital, Singapore
| | - Yew Yoong Ding
- Department of Geriatric Medicine, Tan Tock Seng Hospital, Singapore; Institute of Geriatrics and Active Ageing, Tan Tock Seng Hospital, Singapore
| | - Wee Shiong Lim
- Department of Geriatric Medicine, Tan Tock Seng Hospital, Singapore; Institute of Geriatrics and Active Ageing, Tan Tock Seng Hospital, Singapore.
| |
Collapse
|
2
|
Chang YH, Lin CY, Chou YT, Chen HY, Su HC, Wu YL, Yang YC, Hou WH. A simple scoring algorithm based on intrinsic capacity for functional ability in community-dwelling older adults in Taiwan. BMC Geriatr 2024; 24:370. [PMID: 38664604 PMCID: PMC11044441 DOI: 10.1186/s12877-024-04969-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 04/12/2024] [Indexed: 04/29/2024] Open
Abstract
BACKGROUND Intrinsic capacity (IC) is a comprehensive indicator of the overall well-being of older adults, and assessing of IC can help identify early stage of disability and tailor intervention to individual needs. However, there is a lack of effective and simple IC assessment tools. This study aimed to establish predictive scoring algorithms of IC to identify older adults at high risk of impaired functional ability. METHODS We conducted a cross-sectional study in Southern Taiwan, measuring IC using 7 subitems: cognition, locomotion, vitality, vision, hearing, psychological well-being, and medication usage were measured. Functional ability outcomes included frailty, basic activities of daily living, and instrumental activities of daily living (IADL). The capability of 7 domains of IC in predicting functional ability was assessed by multivariable logistic regression. The prediction of capability of scoring algorithms was indicated by receiver operating characteristic (AUC) curves and measures of sensitivity and specificity. RESULTS A total of 1,152 older adults were recruited and analyzed. Locomotion emerged as a significant predictor of IADL disability and worsening frailty. The IC-based weighted scoring algorism for predicting IADL demonstrated satisfactory capability (AUC: 0.80), as did the algorithm for predicting worsening frailty (AUC: 0.90). The optimal cutoff points for predicting IADL disability and frailty worse were estimated respectively at 13 and 16, with sensitivity/specificity values of 0.74/0.75 for the IADL prediction algorithm and 0.92/0.77 for the frailty prediction algorithm. CONCLUSION Our 7-domain IC screening tool proves to be sensitive and practical for early identification of functional disability and frailty among community-dwelling older adults in Taiwan.
Collapse
Affiliation(s)
- Ya-Hui Chang
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chung-Ying Lin
- Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yu-Tsung Chou
- Department of Health Management Center, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan
- Department of Family Medicine, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan
| | - Hung-Yu Chen
- Department of Health Management Center, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan
- Department of Family Medicine, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan
| | - Hui-Chen Su
- Department of Neurology, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan
| | - Yi-Lin Wu
- Department of Nursing, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan
| | - Yi-Ching Yang
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Family Medicine, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan
| | - Wen-Hsuan Hou
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
- Department of Physical Medicine and Rehabilitation, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
- Department of Physical Medicine and Rehabilitation, Taipei Medical University Hospital, Taipei, Taiwan.
- Cochrane Taiwan, Taipei Medical University, Taipei, Taiwan.
| |
Collapse
|
3
|
Sanchez-Rodriguez D, Bruyère O, Surquin M, Reginster JY, Beaudart C. Towards a core outcome set (COS) for intrinsic capacity (IC) intervention studies in adults in midlife and beyond: a scoping review to identify frequently used outcomes and measurement tools. Aging Clin Exp Res 2024; 36:54. [PMID: 38441748 PMCID: PMC10914863 DOI: 10.1007/s40520-023-02681-8] [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: 11/03/2023] [Accepted: 11/27/2023] [Indexed: 03/07/2024]
Abstract
This scoping review was conducted to identify the outcomes and measurement tools used in IC intervention studies, as first step towards the development of a core outcome set (COS) for IC trials. PRISMA-ScR and COS-STAD were followed. The review considered randomized controlled trials targeting IC published in Medline, Scopus, Embase, Cochrane Central Register of Controlled Trials, and clinicaltrials.gov, until June 2023. Of 699 references, 534 studies were screened once duplicates were removed, 15 were assessed for eligibility, and 7 (4 articles and 3 protocols) met eligibility criteria. Twenty-eight outcomes were identified (19 related to IC and its domains and 9 unrelated). The most reported primary outcome was the change in IC levels postintervention (5 over 7 studies) and the most reported outcomes (either as primary and/or secondary) were the changes in physical performance and in depressive symptoms (6 over 7 studies). Fifty-five tools used to construct the domains' z-scores and/or assess the effect of interventions were identified (47 related to IC and its domains and 8 unrelated). The most reported tool was an IC Z-score, calculated by 4 domains' z-scores: locomotor, vitality, cognitive, and psychological (5 over 7 studies). The tools differed among studies (10 locomotor related, 6 vitality related, 16 cognitive related, 8 psychological related, 6 sensorial related, 8 unrelated tools). The vast heterogeneity (28 outcomes and 55 tools within 7 studies) highlighted the need of a COS. These outcomes and tools will be presented to experts in a future step, to select the ones that should be taken into consideration in IC trials.
Collapse
Affiliation(s)
- Dolores Sanchez-Rodriguez
- Geriatrics Department, Brugmann University Hospital, Université Libre de Bruxelles, Brussels, Belgium.
- WHO Collaborating Centre for Public Health Aspects of Musculo-Skeletal Health and Ageing, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium.
- Geriatrics Department, Rehabilitation Research Group, Hospital Del Mar Research Institute, Barcelona, Spain.
| | - Olivier Bruyère
- WHO Collaborating Centre for Public Health Aspects of Musculo-Skeletal Health and Ageing, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
| | - Murielle Surquin
- Geriatrics Department, Brugmann University Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - Jean-Yves Reginster
- WHO Collaborating Centre for Public Health Aspects of Musculo-Skeletal Health and Ageing, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
| | - Charlotte Beaudart
- WHO Collaborating Centre for Public Health Aspects of Musculo-Skeletal Health and Ageing, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
- Clinical Pharmacology and Toxicology Research Unit, Faculty of Medicine, NAmur Research Institute for LIfe Sciences (NARILIS), University of Namur, Namur, Belgium
| |
Collapse
|
4
|
Ramírez‐Vélez R, Iriarte‐Fernández M, Santafé G, Malanda A, Beard JR, Garcia‐Hermoso A, Izquierdo M. Association of intrinsic capacity with incidence and mortality of cardiovascular disease: Prospective study in UK Biobank. J Cachexia Sarcopenia Muscle 2023; 14:2054-2063. [PMID: 37434422 PMCID: PMC10570093 DOI: 10.1002/jcsm.13283] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 05/28/2023] [Accepted: 06/11/2023] [Indexed: 07/13/2023] Open
Abstract
BACKGROUND The World Health Organization proposed the concept of intrinsic capacity (IC; the composite of all the physical and mental capacities of the individual) as central for healthy ageing. However, little research has investigated the interaction and joint associations of IC with cardiovascular disease (CVD) incidence and CVD mortality in middle- and older-aged adults. METHODS Using data from 443 130 UK Biobank participants, we analysed seven biomarkers capturing the level of functioning of five domains of IC to calculate a total IC score (ranging from 0 [better IC] to +4 points [poor IC]). Associations between IC score and incidence of six long-term CVD conditions (hypertension, stroke/transient ischaemic attack stroke, peripheral vascular disease, atrial fibrillation/flutter, coronary artery disease and heart failure), and grouped mortality from these conditions were estimated using Cox proportional models, with a 1-year landmark analysis to triangulate the findings. RESULTS Over 10.6 years of follow-up, CVD morbidity grouped (n = 384 380 participants for the final analytic sample) was associated with IC scores (0 to +4): mean hazard ratio (HR) [95% confidence interval, CI] 1.11 [1.08-1.14], 1.20 [1.16-1.24], 1.29 [1.23-1.36] and 1.56 [1.45-1.59] in men (C-index = 0.68), and 1.17 [1.13-1.20], 1.30 [1.26-1.36], 1.52 [1.45-1.59] and 1.78 [1.67-1.89] in women (C-index = 0.70). In regard to mortality, our results indicated that the higher IC score (+4 points) was associated with a significant increase in subsequent CVD mortality (mean HR [95% CI]: 2.10 [1.81-2.43] in men [C-index = 0.75] and 2.29 [1.85-2.84] in women [C-index = 0.78]). Results of all sensitivity analyses by full sample, sex and age categories were largely consistent independent of major confounding factors (P < 0.001). CONCLUSIONS IC deficit score is a powerful predictor of functional trajectories and vulnerabilities of the individual in relation to CVD incidence and premature death. Monitoring an individual's IC score may provide an early-warning system to initiate preventive efforts.
Collapse
Affiliation(s)
- Robinson Ramírez‐Vélez
- NavarrabiomedHospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNAPamplonaSpain
- CIBER of Frailty and Healthy Aging (CIBERFES)Instituto de Salud Carlos IIIMadridSpain
| | - Maria Iriarte‐Fernández
- NavarrabiomedHospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNAPamplonaSpain
| | - Guzman Santafé
- Department of Statistics, Computer Science, and MathematicsUniversidad Pública de Navarra (UPNA)PamplonaSpain
- InaMatUniversidad Pública de Navarra (UPNA)PamplonaSpain
| | - Armando Malanda
- Department of Electrical and Electronic EngineeringUniversidad Pública de Navarra (UPNA)PamplonaSpain
| | - John R. Beard
- Columbia Aging CenterColumbia UniversityNew YorkNYUSA
| | - Antonio Garcia‐Hermoso
- NavarrabiomedHospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNAPamplonaSpain
| | - Mikel Izquierdo
- NavarrabiomedHospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNAPamplonaSpain
- CIBER of Frailty and Healthy Aging (CIBERFES)Instituto de Salud Carlos IIIMadridSpain
| |
Collapse
|
5
|
Lim KY. Measuring vitality: uncovering the indispensable role of nutrition in healthy ageing. Age Ageing 2023; 52:afad151. [PMID: 37585591 DOI: 10.1093/ageing/afad151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Indexed: 08/18/2023] Open
Affiliation(s)
- Kian Yuan Lim
- Department of Nutritional Science, College of Human Ecology, Fu Jen Catholic University, New Taipei City, Taiwan
| |
Collapse
|
6
|
Lu WH, González-Bautista E, Guyonnet S, Martinez LO, Lucas A, Parini A, Rolland Y, Vellas B, de Souto Barreto P. Investigating three ways of measuring the intrinsic capacity domain of vitality: nutritional status, handgrip strength and ageing biomarkers. Age Ageing 2023; 52:afad133. [PMID: 37505993 DOI: 10.1093/ageing/afad133] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 04/07/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND Vitality is conceptually considered as the underlying capacity influencing other intrinsic capacity (IC) domains and being related to nutrition, physiological reserve and biological ageing. However, there is no consensus on its operationalisation. OBJECTIVE To investigate the structure and magnitude of the association of vitality with other IC domains and functional difficulties using three operational definitions of vitality. METHODS We included 1,389 older adults from the Multidomain Alzheimer Preventive Trial with data on Mini Nutritional Assessment (MNA), handgrip strength and plasma biomarkers (comprising inflammatory and mitochondrial markers). Using path analysis, we examined the effects of vitality on difficulties in basic and instrumental activities of daily living (ADL and IADL) exerted directly and indirectly through the mediation of other IC domains: cognition, locomotion, psychological, vision and hearing. We further explored the longitudinal association of vitality with IC domains, ADL and IADL over 4 years using linear mixed-effect regression. RESULTS We observed significant indirect effects of vitality on IADL, mainly through cognitive, locomotor and psychological domains, regardless of the vitality measurement. Participants with higher vitality had fewer IADL difficulties at follow-up (MNA score: β [95% CI] = -0.020 [-0.037, -0.003]; handgrip strength: -0.011 [-0.023, 0.000]; plasma biomarker-based index: -0.015 [-0.028, -0.002]). Vitality assessed with the plasma biomarker-based index predicted improved locomotion over time. CONCLUSION Vitality was associated with disability primarily through the mediation of other IC domains. The three indicators examined are acceptable measurements of vitality; biomarkers might be more suitable for the early detection of locomotion decline.
Collapse
Affiliation(s)
- Wan-Hsuan Lu
- Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), 31000 Toulouse, France
- Maintain Aging Research Team, Centre d'Epidémiologie et de Recherche en santé des POPulations (CERPOP), Inserm, Université Paul Sabatier, Toulouse, France
| | - Emmanuel González-Bautista
- Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), 31000 Toulouse, France
- Maintain Aging Research Team, Centre d'Epidémiologie et de Recherche en santé des POPulations (CERPOP), Inserm, Université Paul Sabatier, Toulouse, France
| | - Sophie Guyonnet
- Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), 31000 Toulouse, France
- Maintain Aging Research Team, Centre d'Epidémiologie et de Recherche en santé des POPulations (CERPOP), Inserm, Université Paul Sabatier, Toulouse, France
| | - Laurent O Martinez
- Institut National de la Santé et de la Recherche Médicale (INSERM), UMR 1297, Institute of Metabolic and Cardiovascular Diseases, Toulouse, France
| | - Alexandre Lucas
- Institut National de la Santé et de la Recherche Médicale (INSERM), UMR 1297, Institute of Metabolic and Cardiovascular Diseases, Toulouse, France
| | - Angelo Parini
- Institut National de la Santé et de la Recherche Médicale (INSERM), UMR 1297, Institute of Metabolic and Cardiovascular Diseases, Toulouse, France
| | - Yves Rolland
- Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), 31000 Toulouse, France
- Maintain Aging Research Team, Centre d'Epidémiologie et de Recherche en santé des POPulations (CERPOP), Inserm, Université Paul Sabatier, Toulouse, France
| | - Bruno Vellas
- Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), 31000 Toulouse, France
- Maintain Aging Research Team, Centre d'Epidémiologie et de Recherche en santé des POPulations (CERPOP), Inserm, Université Paul Sabatier, Toulouse, France
| | - Philipe de Souto Barreto
- Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), 31000 Toulouse, France
- Maintain Aging Research Team, Centre d'Epidémiologie et de Recherche en santé des POPulations (CERPOP), Inserm, Université Paul Sabatier, Toulouse, France
| |
Collapse
|
7
|
Gaussens L, González-Bautista E, Bonnefoy M, Briand M, Tavassoli N, De Souto Barreto P, Rolland Y. Associations between Vitality/Nutrition and the Other Domains of Intrinsic Capacity Based on Data from the INSPIRE ICOPE-Care Program. Nutrients 2023; 15:nu15071567. [PMID: 37049408 PMCID: PMC10096560 DOI: 10.3390/nu15071567] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 03/19/2023] [Accepted: 03/21/2023] [Indexed: 04/14/2023] Open
Abstract
BACKGROUND The vitality domain of intrinsic capacity (IC) represents the synthesis of biological interactions and metabolism. As part of the Integrated Care for Older People (ICOPE) program developed by the World Health Organization (WHO), vitality focuses on the nutritional status of older adults. The objective of this work was to describe the vitality domain of IC in community-dwelling older people and to examine the associations of the vitality components (appetite loss and weight loss) with the other IC domains assessed within the framework of ICOPE. METHODS Cross-sectional data were obtained between January 2020 and February 2022 through the INSPIRE-ICOPE-Care program, a real-life ICOPE implementation initiative developed in the Occitania region of France. Participants were men and women aged 60 and older, looking for primary care services within the French healthcare system. RESULTS Appetite loss was reported by 14.0% (2013) of the participants, and weight loss by 12.4% (1788). A total of 863 participants (6.01%) declaring weight loss also suffered from appetite loss. In total, 2910 participants (20.27%) screened positive for the domain of vitality. Appetite loss was significantly associated with positive screenings for the domains of cognition (OR = 2.14 [1.84;2.48]), vision (OR = 1.51 [1.28;1.79]), hearing (OR = 1.18 [1.01;1.37]), psychology (OR = 3.95 [3.46;4.52]), and locomotion 'OR = 2.19 [1.91;2.51]). We found significant associations of weight loss with the IC domains of cognition (OR = 1.65 [1.42;1.93]), psychology (OR = 1.80 [1.56;2.07]), locomotion (OR = 1.64 [1.41;1.91]), vision (OR = 1.24 [1.04;1.47]), and hearing (OR = 1.32 [1.12;1.55]). People reporting simultaneous appetite and weight loss showed higher odds of screening positive for psychological (OR = 5.33 [4.53;6.27]) and locomotion impairments (OR = 3.38 [2.88;3.98]). CONCLUSIONS Appetite and weight loss are common among older people and are related to other potential IC impairments, especially psychological and locomotion. Further studies are needed to explore the longitudinal associations of vitality with the incidence of clinically meaningful declines in the other IC domains.
Collapse
Affiliation(s)
- Luc Gaussens
- Gérontopôle de Toulouse, Institut du Vieillissement, Centre Hospitalo-Universitaire de Toulouse, 31300 Toulouse, France
| | - Emmanuel González-Bautista
- Gérontopôle de Toulouse, Institut du Vieillissement, Centre Hospitalo-Universitaire de Toulouse, 31300 Toulouse, France
| | - Marc Bonnefoy
- Service de Médecine Gériatrique, CHU Lyon, Groupement Hospitalier Sud, 69495 Pierre-Bénite, France
| | - Marguerite Briand
- Gérontopôle de Toulouse, Institut du Vieillissement, Centre Hospitalo-Universitaire de Toulouse, 31300 Toulouse, France
| | - Neda Tavassoli
- Gérontopôle de Toulouse, Institut du Vieillissement, Centre Hospitalo-Universitaire de Toulouse, 31300 Toulouse, France
| | - Philipe De Souto Barreto
- Gérontopôle de Toulouse, Institut du Vieillissement, Centre Hospitalo-Universitaire de Toulouse, 31300 Toulouse, France
- CERPOP UMR 1295, University of Toulouse III, Inserm, UPS, 31062 Toulouse, France
| | - Yves Rolland
- Gérontopôle de Toulouse, Institut du Vieillissement, Centre Hospitalo-Universitaire de Toulouse, 31300 Toulouse, France
- CERPOP UMR 1295, University of Toulouse III, Inserm, UPS, 31062 Toulouse, France
| |
Collapse
|
8
|
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: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [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.
Collapse
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.
| |
Collapse
|
9
|
do Nascimento LM, da Cruz TGC, Silva JFDLE, Silva LP, Inácio BB, Sadamitsu CMO, Scheicher ME. Use of Intrinsic Capacity Domains as a Screening Tool in Public Health. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4227. [PMID: 36901237 PMCID: PMC10002144 DOI: 10.3390/ijerph20054227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 02/16/2023] [Accepted: 02/20/2023] [Indexed: 06/18/2023]
Abstract
The World Health Organization (WHO) created the concept of Integrated Care for Older People and one of its constructs is intrinsic capacity (IC). The study aimed to carry out a screening with the tools designated by the WHO to assess the IC domains and whether they can be used as indicators for decision-making on integrated care for older people based on risk categorization. The interaction between the risk category and the domain scores was verified. One hundred and sixty three (163) community-dwelling older people of both genders were evaluated. Domains assessed: cognitive, psychological, vitality, locomotion, and sensory. Scores indicating a low, moderate and high risk were assigned to each domain. For all domains, there were individuals in all risk groups. Effect of risk on the domains: cognitive [χ2(2) = 134.042; p < 0.001], psychological [χ2(2) = 92.865; p < 0.001], vitality [χ2(2) = 129.564; p < 0.001], locomotion [χ2(2) = 144.101; p < 0.001], and sensory [χ2(2) = 129.037; p < 0.001]. Scores of the CI domains were affected by the risk category. There were individuals in all risk groups, demonstrating the importance of screening as a public health strategy, making it possible to know which risk category each elderly person belongs to and thus develop strategies in the short-, medium- and long-term.
Collapse
Affiliation(s)
- Livia Maria do Nascimento
- Graduate Program in Human Development and Technologies, Institute of Biosciences, Paulista State University—UNESP, Rio Claro 13506-900, SP, Brazil
| | - Thainá Gabriele Camargo da Cruz
- Graduate Program in Human Development and Technologies, Institute of Biosciences, Paulista State University—UNESP, Rio Claro 13506-900, SP, Brazil
| | | | - Letícia Prado Silva
- Department of Physical Therapy and Occupational Therapy, Paulista State University—UNESP, Marília1 7525-900, SP, Brazil
| | - Beatriz Bigatão Inácio
- Department of Physical Therapy and Occupational Therapy, Paulista State University—UNESP, Marília1 7525-900, SP, Brazil
| | - Carolina Masumi Oki Sadamitsu
- Department of Physical Therapy and Occupational Therapy, Paulista State University—UNESP, Marília1 7525-900, SP, Brazil
| | - Marcos Eduardo Scheicher
- Graduate Program in Human Development and Technologies, Institute of Biosciences, Paulista State University—UNESP, Rio Claro 13506-900, SP, Brazil
- Department of Physical Therapy and Occupational Therapy, Paulista State University—UNESP, Marília1 7525-900, SP, Brazil
| |
Collapse
|
10
|
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: 4.0] [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.
Collapse
|
11
|
Yu R, Lai D, Leung G, Tam LY, Cheng C, Kong S, Tong C, Cheung B, Woo J. Moving towards the ICOPE Approach: Evaluation of Community-Based Intervention Activities on Improving Intrinsic Capacity. J Nutr Health Aging 2023; 27:1028-1037. [PMID: 37997725 DOI: 10.1007/s12603-023-2003-0] [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: 04/17/2023] [Accepted: 09/12/2023] [Indexed: 11/25/2023]
Abstract
OBJECTIVES Different types of community-based intervention activities may have differential effects in improving the intrinsic capacity (IC) of older people. This study aims to (i) identify subgroups of older people based on their IC impairments, (ii) examine the differential associations between different types of activity participations and change in IC across subgroups, and (iii) assess whether the activity participation patterns of older people align with the way that would benefit them the most. METHODS Participants were community-dwelling older people aged 60 years or above. They were screened for IC impairments at baseline, and their participation records of different types (cognitive, physical, nutritional, mental, and social) of intervention activities were collected for one year. An aggregated IC score was created based on four IC domains including cognitive (self-rated memory), locomotor (self-rated difficulties in walking), vitality (self-rated weight loss), and psychological (subjective well-being). Cluster analysis was used to group homogenous participants. Mixed-effects regression was used to examine the associations between activity counts (i.e., number of sessions participated) and change in IC. Activity participation patterns were also compared across subgroups. RESULTS Data were obtained from 7,357 participants (mean age = 74.72 years). Four clusters were identified, including those who were relatively robust (cluster 1, N = 4,380, 59.5%), those who had cognitive decline (cluster 2, N = 2,134, 29.0%), those who had impaired mobility and vitality (cluster 3, N = 319, 4.3%), and those with poor psychological well-being (cluster 4, N = 524, 7.1%). Overall, activity count was associated with IC improvement (β = 0.073, 95% CI [0.037, 0.108]). However, as regards the cluster-specific results, different types of activities were associated with IC improvement for different specific clusters. For instance, cognitive activity count was associated with IC improvement only for cluster 2 (β = 0.491, 95% CI [0.258, 0.732]). Notably, none of the activity types were associated with IC improvement for cluster 1. Regarding the activity participation patterns, there were no significant differences across the four clusters (Wilk's Λ = 0.997, F = 1.400, p = .138). CONCLUSIONS AND IMPLICATIONS IC improvement depended on the activity types and IC status of older people. In view of this, a people-centred and targeted approach should be adopted to maximize the overall benefits of intervention activities.
Collapse
Affiliation(s)
- R Yu
- Ruby Yu, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, E-mail:
| | | | | | | | | | | | | | | | | |
Collapse
|
12
|
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
| |
Collapse
|
13
|
Bautmans I, Knoop V, Amuthavalli Thiyagarajan J, Maier AB, Beard JR, Freiberger E, Belsky D, Aubertin-Leheudre M, Mikton C, Cesari M, Sumi Y, Diaz T, Banerjee A. WHO working definition of vitality capacity for healthy longevity monitoring. THE LANCET. HEALTHY LONGEVITY 2022; 3:e789-e796. [PMID: 36356628 PMCID: PMC9640935 DOI: 10.1016/s2666-7568(22)00200-8] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 08/18/2022] [Accepted: 08/18/2022] [Indexed: 11/09/2022] Open
Abstract
Intrinsic capacity, a crucial concept in healthy ageing, is defined by WHO as "the composite of all the physical and mental capacities that an individual can draw on at any point in time". Vitality capacity is considered the underlying physiological determinant of intrinsic capacity. To advance the measurement and monitoring of vitality capacity, a working group of WHO staff members and twenty experts representing six WHO regions was convened to discuss and clarify the attributes of vitality capacity and to develop a clear working definition of the concept. Potential biomarkers to measure vitality capacity were identified, and the following consensual working definition was developed: vitality capacity is a physiological state (due to normal or accelerated biological ageing processes) resulting from the interaction between multiple physiological systems, reflected in (the level of) energy and metabolism, neuromuscular function, and immune and stress response functions of the body.
Collapse
Affiliation(s)
- Ivan Bautmans
- Gerontology Department and Frailty in Ageing Research Department, Vrije Universiteit Brussel, Brussels, Belgium,Department of Geriatrics, Universitair Ziekenhuis Brussel, Brussels, Belgium,Correspondence to: Prof Ivan Bautmans, Gerontology Department and Frailty in Ageing Research Department, Vrije Universiteit Brussel, Brussels 1090, Belgium
| | - Veerle Knoop
- Gerontology Department and Frailty in Ageing Research Department, Vrije Universiteit Brussel, Brussels, Belgium
| | | | - Andrea B Maier
- Department of Human Movement Sciences, @AgeAmsterdam, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands,Department of Medicine and Aged Care, @AgeMelbourne, The University of Melbourne, The Royal Melbourne Hospital, Parkville, VIC, Australia,Yong Loo Lin School of Medicine, Centre for Healthy Longevity, National University of Singapore, Singapore,National University Health System, Singapore
| | - John R Beard
- Centre of Excellence on Population Ageing Research, University of New South Wales, Sydney, NSW, Australia
| | - Ellen Freiberger
- Institute for Biomedicine of Aging, University of Erlangen-Nuremberg, Nuremberg, Germany
| | - Daniel Belsky
- Social Science Research Institute and Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Mylene Aubertin-Leheudre
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, Montreal, QC, Canada,Faculty of Sciences, Department of Exercise Sciences, Université du Québec à Montréal, QC, Canada
| | - Christopher Mikton
- Demographic Change and Healthy Aging Unit, Social Determinants of Health, WHO, Geneva, Switzerland
| | | | - Yuka Sumi
- Ageing and Health Unit, WHO, Geneva, Switzerland
| | - Theresa Diaz
- Epidemiology, Monitoring, and Evaluation Units, WHO, Geneva, Switzerland
| | - Anshu Banerjee
- Department of Maternal, Newborn, Child, and Adolescent Health and Ageing, WHO, Geneva, Switzerland
| | | |
Collapse
|
14
|
Waris M, Upadhyay AD, Chatterjee P, Chakrawarty A, Kumar P, Dey AB. Establishment of Clinical Construct of Intrinsic Capacity in Older Adults and Its Prediction of Functional Decline. Clin Interv Aging 2022; 17:1569-1580. [PMID: 36304176 PMCID: PMC9594878 DOI: 10.2147/cia.s371793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 09/14/2022] [Indexed: 11/23/2022] Open
Abstract
Background The World Health Organization has conceptualised the health and healthcare of older adults around the concept of healthy ageing. Healthy ageing is defined as “the process of developing and maintaining the functional ability that enables well-being in older age”. This functional ability is the sum of two key factors: intrinsic capacity and interacting environment. This concept of intrinsic capacity encompasses a wide spectrum of health characteristics including the physiological and psychological changes associated with the ageing process. In general, IC declines from a high and stable state to an impaired status as people age. Monitoring individuals for changes in intrinsic capacity in the context of their environment will provide a holistic method of tracking the functioning of older adults at both a population and individual level, providing an opportunity to address any reversible factors of decline. However, this would require a clear and objective conceptualisation of the concept of intrinsic capacity. Methodology One hundred subjects were recruited via invitation by advertisement on the institute campus. Study participants underwent detailed physical examination and measurement of various physical and chemical biomarkers which were likely to represent intrinsic capacity as evidenced by the literature review. Outcomes measured were a decline in ADL, IADL, mortality and hospitalisation over a follow-up period of six months. Exploratory factor analysis (EFA) was done to obtain a clinical construct of the proposed entity of intrinsic capacity. Unpaired t-test and univariate logistic regression were used to check for the association between the composite score (IC) and its domains with the decline in ADL, IADL, mortality and hospitalisation. Results One composite score (composite IC score) and eight subfactors emerged. The composite score and subfactor domains showed good construct validity. Composite intrinsic capacity score and subdomains of strength and cognition were significantly different among subjects with and without ADL and IADL decline. Univariate logistic regression showed that composite intrinsic capacity score was a predictor of decline in ADL and IADL even after adjusting for age, sex, comorbidity status and education level of the subject with an adjusted odds ratio of 0.99 and 0.98, respectively. Subdomains of strength and cognition also predicted a decline in ADL and IADL independently. Conclusion The development of an objective construct of the concept of intrinsic capacity, using commonly measured clinical and biochemical parameters, is feasible and predictive of the subsequent functionality of an individual.
Collapse
Affiliation(s)
- Mujtaba Waris
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, Delhi, India
| | - Ashish Dutta Upadhyay
- Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, Delhi, India
| | - Prasun Chatterjee
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, Delhi, India
| | - Avinash Chakrawarty
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, Delhi, India
| | - Pramod Kumar
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, Delhi, India
| | - Aparajit Ballav Dey
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, Delhi, India,Correspondence: Aparajit Ballav Dey, Venu Geriatric Care Centre, Venu Charitable Society, 1/ 31, Institutional Area-II, Sheikh Sarai, New Delhi, Delhi, 110017, India, Tel +91- 11- 2925 1155, Email
| |
Collapse
|
15
|
Koivunen K, Schaap LA, Hoogendijk EO, Schoonmade LJ, Huisman M, van Schoor NM. Exploring the conceptual framework and measurement model of intrinsic capacity defined by the World Health Organization: A scoping review. Ageing Res Rev 2022; 80:101685. [PMID: 35830956 DOI: 10.1016/j.arr.2022.101685] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 06/16/2022] [Accepted: 07/07/2022] [Indexed: 01/04/2023]
Abstract
WHO has defined intrinsic capacity (IC) as the composite of all physical and mental capacities of an individual covering five subdomains: cognition, locomotion, sensory, vitality, and psychological. Despite this well accepted definition, the conceptual and measurement model of IC remains unclear, which hampers a standardized operationalization of the construct. We performed a scoping review to give a comprehensive overview of the extent to which the current literature of IC addresses and assumes the conceptual framework and measurement model of IC as reflective or formative. For inclusion, we considered all types of articles that were published in peer-reviewed journals except for protocol articles. A systematic search of 6 databases from different disciplines led to the inclusion of 31 papers. We found inconsistency and gaps in the descriptions of IC. Most of the papers did not define the measurement model. In the conceptual background and validation articles, we identified descriptions of both reflective and formative measurement models while in empirical studies applying IC measurements the underlying assumptions remained mainly unclear. Defining a measurement model is not merely a theoretical matter but influences the operationalization and validation processes of the construct. This study raised questions about the most fundamental features of the IC construct and discusses whether IC should be considered as an underlying latent trait of all capacities (reflective construct) or an aggregate summary measure of the subdomain capacities (formative construct).
Collapse
Affiliation(s)
- K Koivunen
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan, 1117, Amsterdam, the Netherlands; Faculty of Sport and Health Sciences and Gerontology Research Center, University of Jyväskylä, Rautpohjankatu 8, P.O. Box 35, FI-40014, Finland.
| | - L A Schaap
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, De Boelelaan 1081, 1081 HV Amsterdam, the Netherlands
| | - E O Hoogendijk
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan, 1117, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Aging & Later Life, Amsterdam, the Netherlands, De Boelelaan 1117, Amsterdam, the Netherlands
| | - L J Schoonmade
- Medical Library, Vrije Universiteit Amsterdam, De Boelelaan 1117, P.O. Box 7057, 1007 MB Amsterdam, the Netherlands
| | - M Huisman
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan, 1117, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Aging & Later Life, Amsterdam, the Netherlands, De Boelelaan 1117, Amsterdam, the Netherlands; Department of Sociology, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, the Netherlands
| | - N M van Schoor
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan, 1117, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Aging & Later Life, Amsterdam, the Netherlands, De Boelelaan 1117, Amsterdam, the Netherlands
| |
Collapse
|
16
|
Bellandi V, Ceravolo P, Damiani E, Maghool S, Cesari M, Basdekis I, Iliadou E, Marzan MD. A methodology to engineering continuous monitoring of intrinsic capacity for elderly people. COMPLEX INTELL SYST 2022. [DOI: 10.1007/s40747-022-00775-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
AbstractContinuous monitoring of the well-being state of elderly people is about to become an urgent need in the early future due to population aging. Aiming a unified notion of well-being, we find the Intrinsic Capacity concept in accordance with the SMART BEAR project goals. In this study, we mainly focus on the enabling infrastructure, mapping our models to interoperable repositories and to streaming/computing components that can foster monitoring. Our method is also innovative for explicitly combining personalized and risk levels in generating the Intrinsic Capacity score. Leveraging on synthetic data, we represent the outcome trajectories of some sample patients for 1-year continuous monitoring and discuss approaches to characterize them based on the exhibited tendency and evaluate the results from the predictability point of view providing by the entropy of time series concept. At the end, we discuss the possible data quality issues in health care studies using synthetic data.
Collapse
|
17
|
López-Ortiz S, Lista S, Peñín-Grandes S, Pinto-Fraga J, Valenzuela PL, Nisticò R, Emanuele E, Lucia A, Santos-Lozano A. Defining and assessing intrinsic capacity in older people: A systematic review and a proposed scoring system. Ageing Res Rev 2022; 79:101640. [PMID: 35569785 DOI: 10.1016/j.arr.2022.101640] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 03/30/2022] [Accepted: 05/07/2022] [Indexed: 01/06/2023]
Abstract
INTRODUCTION The World Health Organization has introduced the term 'intrinsic capacity' (IC) as a marker of healthy ageing. However, controversy exists on the definition and assessment of IC. We aimed to review the definitions and methods used for the assessment of IC in older adults. In addition, we proposed a new IC scoring method. METHODS A systematic search was performed in PubMed, Web of Science, Cochrane Library, Scopus and SPORTDiscus (up to February 10th, 2022) for studies assesing IC in older adults (>60 years). RESULTS Thirty-three studies were included. There is overall consensus on the definition of IC as well as on its different dimensions, that is: locomotion, vitality, sensory, cognition and psychological. However, the methods for assessing each of these five dimensions differ substantially across studies and there is no consensus on the best method to compute an eventual global compound score to evaluate IC taking into account all its different dimensions. CONCLUSIONS The IC represents a highly relevant clinical concept that has been unfortunately underutilized. We propose a standardization for the assessment of each dimension of IC, with a global 0 (worst) to 10 (highest) score.
Collapse
|
18
|
Alves Faria ADC, Martins MM, Ribeiro OMPL, Ventura-Silva JMA, Teles PJFC, Laredo-Aguilera JA. Adaptation and Validation of the Individual Lifestyle Profile Scale of Portuguese Older Adults Living at Home. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19095435. [PMID: 35564829 PMCID: PMC9100045 DOI: 10.3390/ijerph19095435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 04/24/2022] [Accepted: 04/26/2022] [Indexed: 02/04/2023]
Abstract
(1) Background: Unadjusted lifestyles have been the main cause of risk for the loss of years of healthy life. However, currently valid and reliable instruments to assess the lifestyles of the elderly are quite long and difficult to interpret. For this reason, the objective of this study was to adapt and validate the 'Individual Lifestyle Profile' (ILP) scale in a sample of elderly people; (2) Methods: A methodological study was carried out and a sample of 300 older adults enrolled in a Health Unit located in the North of Portugal was used, who responded to the scale. We examined internal consistency, predictive validity, and discriminative ability; (3) Results: After the Exploratory Factorial analysis, a solution was found with four factors that explain a variance of 67.8%. The designation of the factors was changed from the original scale, with the exception of one dimension, and they were called Health Self-management, Social Participation and Group Interaction, Citizenship and Physical Activity. The total internal consistency (Cronbach's alpha) was 0.858, ranging from 0.666 to 0.860 in the mentioned factors; (4) Conclusions: The ILP scale proved to be easy to apply and presented a good reliability and validity index, based on internal consistency, AFE and AFC. The scale allows evaluating the lifestyle of older adults, and its use will be aimed at modifying behaviors associated with negative lifestyles of older adults and their individual needs.
Collapse
Affiliation(s)
- Ana da Conceição Alves Faria
- Abel Salazar Biomedical Sciences Institute, University of Porto, Rua Jorge de Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (A.d.C.A.F.); (J.M.A.V.-S.)
- North Region Health Administration, 4000-447 Porto, Portugal
| | - Maria Manuela Martins
- Nursing School of Porto, 4200-072 Porto, Portugal; (M.M.M.); (O.M.P.L.R.)
- Center for Health Technology and Services Research, 4200-450 Porto, Portugal
| | - Olga Maria Pimenta Lopes Ribeiro
- Nursing School of Porto, 4200-072 Porto, Portugal; (M.M.M.); (O.M.P.L.R.)
- Center for Health Technology and Services Research, 4200-450 Porto, Portugal
| | - João Miguel Almeida Ventura-Silva
- Abel Salazar Biomedical Sciences Institute, University of Porto, Rua Jorge de Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (A.d.C.A.F.); (J.M.A.V.-S.)
- Centro Hospitalar, Universitário de São João, 4200-319 Porto, Portugal
| | - Paulo João Figueiredo Cabral Teles
- School of Economics, University of Porto, 4200-465 Porto, Portugal;
- Laboratory of Artificial Intelligence and Decision Support-INESC Porto LA, 4200-465 Porto, Portugal
| | - José Alberto Laredo-Aguilera
- Facultad de Fisioterapia y Enfermería, Campus de Fábrica de Armas, Universidad de Castilla-La Mancha, Av de Carlos III, nº 21, 45071 Toledo, Spain
- Multidisciplinary Research Group in Care (IMCU), University of Castilla-La Mancha, 45005 Toledo, Spain
- Correspondence:
| |
Collapse
|
19
|
Meng LC, Huang ST, Peng LN, Chen LK, Hsiao FY. Biological Features of the Outcome-Based Intrinsic Capacity Composite Scores From a Population-Based Cohort Study: Pas de Deux of Biological and Functional Aging. Front Med (Lausanne) 2022; 9:851882. [PMID: 35308493 PMCID: PMC8931213 DOI: 10.3389/fmed.2022.851882] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 02/07/2022] [Indexed: 11/21/2022] Open
Abstract
Introduction This study aims to develop and validate an integrative intrinsic capacity (IC) scoring system, to investigate its associations with a wide spectrum of biomarkers and to explore the predictive value of the integrative IC score on 4-year mortality among community dwelling people aged 50 years and older. Methods We included 839 adults aged ≥50 years from the Social Environment and Biomarkers of Aging Study (SEBAS) and randomly divided them into derivation and validation cohorts to develop the IC scoring system. The multivariate logistic regression model was used to weight each subdomain (locomotion, sensory, vitality, psychological, and cognition) of IC according to its association with impairments in instrumental activities of daily living (IADL) and to construct the integrative IC score. Age-related biomarkers and genetic markers were compared between IC groups by ordinal logistic regression. A Cox proportional hazard model was used to examine the association between IC and mortality, and subgroup analysis was used to assess the robustness of the results among participants aged 60 years and older. Results A 12-score IC scoring system (AUROC = 0.83; Hosmer–Lemeshow goodness-of-fit test p = 0.17) was developed, and higher scores indicated better intrinsic capacity. High interleukin (IL)-6, high E-selectin, low serum albumin and low folate were significantly associated with low IC in the whole sample. However, high IL-6, low serum albumin, low folate, high allostatic load, and APOE ε4 genotype were significantly associated with low IC in those aged 60 years old and older. Compared to the high IC group, the low IC group was significantly associated with all-cause mortality (HR: 2.50, 95% CI: 1.22–5.11, p = 0.01 for all participants; HR 2.19, 95% CI 1.03–4.64, p = 0.04 for participants aged 60 years and older). Conclusions The conceptually proposed IC can be easily transformed into a scoring system considering different weights of individual subdomains, which not only predicts mortality but also suggests different pathophysiologies across the life course of aging (inflammation, nutrition, stress, and ApoE4 genotype). An intervention study is needed using the composite IC score to promote healthy aging and determine the underlying pathophysiology.
Collapse
Affiliation(s)
- Lin-Chieh Meng
- Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Shih-Tsung Huang
- Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Li-Ning Peng
- Aging and Health Research Center, National Yang Ming Chiao Tung University Yangming Campus, Taipei, Taiwan
- Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Liang-Kung Chen
- Aging and Health Research Center, National Yang Ming Chiao Tung University Yangming Campus, Taipei, Taiwan
- Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan
- Taipei Municipal Gan-Dau Hospital, Taipei, Taiwan
| | - Fei-Yuan Hsiao
- Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
- School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
- Department of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan
- *Correspondence: Fei-Yuan Hsiao
| |
Collapse
|
20
|
Cheong CY, Yap P, Nyunt MSZ, Qi G, Gwee X, Wee SL, Yap KB, Ng TP. Functional health index of intrinsic capacity: multi-domain operationalisation and validation in the Singapore Longitudinal Ageing Study (SLAS2). Age Ageing 2022; 51:6540133. [PMID: 35231090 DOI: 10.1093/ageing/afac011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND ad hoc approaches are used to create composite indexes of intrinsic capacity (IC) based on five domains recommended by the World Health Organization for healthy ageing. We examined how combinations of domain-specific measures determine measurement performances of composite IC indexes. METHODS in this population-based prospective cohort study, community-dwelling older persons (N = 2,906) aged 55 years and above were recruited. We used 12 domain-specific measures: cognition (Mini-Mental State Examination, MMSE), psychological (Geriatric Depression Scale, GDS), locomotion (Timed Up-and Go [TUG], GV, Knee Extension Strength, Performance Orientated Mobility Assessment), sensory (logarithm of the Minimum Angle of Resolution [LogMAR] vision and Whisper Test hearing) and vitality (forced expiratory volume in 1 second pulmonary function, Elderly Nutritional Indicators for Geriatric Malnutrition Assessment [ENIGMA], Nutritional Screening Initiative) to derive 144 composite 2- to 5-domain functional health indexes (FHI), and evaluated their abilities to predict 9-year mortality and their associations with health determinants. RESULTS with 5-domain FHI, TUG, logMAR and MMSE showed the largest factor loadings (0.65-0.75). All single-domain FHI were significantly associated with mortality risks. Area under the receiver operating characteristic curve (AUC) values of mortality prediction increased with the number of domains (from mean 0.615 for single-domain FHI to mean 0.705 for 5-domain FHI), but the difference between 3-domain versus 4-domain FHI (P = 0.082) or versus 5-domain FHI (P = 0.109) was not statistically significant. Highest AUCs (P < 0.001) of best performing FHI were single-domain TUG: 0.735; 2-domain TUG + ENIGMA: 0.743; 3-domain TUG + LogMAR + ENIGMA: 0.762; 4-domain TUG + MMSE + LogMAR + ENIGMA: 0.757; 5-domain TUG + MMSE + GDS + LogMAR + ENIGMA: 0.751. FHI showed excellent construct validity based on correlations with known health determinants. CONCLUSIONS among Singaporean older adults, cognition, sensory and locomotion are predominant IC domains. A multi-domain IC index performs better with more domain measures, but a minimalist 3-domain index performs just as robustly as a 4- or 5-domain index.
Collapse
Affiliation(s)
- Chin Yee Cheong
- Department of Geriatric Medicine, Khoo Teck Puat Hospital, Singapore, Singapore
| | - Philip Yap
- Department of Geriatric Medicine, Khoo Teck Puat Hospital, Singapore, Singapore
| | - Ma Shwe Zin Nyunt
- Gerontology Research Programme, Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Gao Qi
- Gerontology Research Programme, Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Xinyi Gwee
- Gerontology Research Programme, Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Shiou Liang Wee
- Health and Social Sciences Cluster, Singapore Institute of Technology, Singapore, Singapore
| | - Keng Bee Yap
- Department of Medicine, Ng Teng Fong Hospital, Singapore, Singapore
| | - Tze Pin Ng
- Gerontology Research Programme, Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| |
Collapse
|
21
|
de Souto Barreto P, Ruiz JG, Merchant RA. Editorial: Journal of Nutrition, Health and Aging: Summary of Recent Work and Future Directions. J Nutr Health Aging 2022; 26:1-2. [PMID: 35067695 PMCID: PMC8760862 DOI: 10.1007/s12603-022-1725-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 01/11/2022] [Indexed: 11/17/2022]
Affiliation(s)
- P de Souto Barreto
- Philipe de Souto Barreto, Gérontopôle de Toulouse, Institut du Vieillissement, 37 Allées Jules Guesde, 31000 Toulouse, France, +33 561 145 636,
| | | | | |
Collapse
|
22
|
Wu L, Xie X, Liang T, Ma J, Yang L, Yang J, Li L, Xi Y, Li H, Zhang J, Chen X, Ding Y, Wu Q. Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets. Biomolecules 2021; 12:39. [PMID: 35053186 PMCID: PMC8773837 DOI: 10.3390/biom12010039] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 12/17/2021] [Accepted: 12/19/2021] [Indexed: 12/12/2022] Open
Abstract
Aging is closely related to the occurrence of human diseases; however, its exact biological mechanism is unclear. Advancements in high-throughput technology provide new opportunities for omics research to understand the pathological process of various complex human diseases. However, single-omics technologies only provide limited insights into the biological mechanisms of diseases. DNA, RNA, protein, metabolites, and microorganisms usually play complementary roles and perform certain biological functions together. In this review, we summarize multi-omics methods based on the most relevant biomarkers in single-omics to better understand molecular functions and disease causes. The integration of multi-omics technologies can systematically reveal the interactions among aging molecules from a multidimensional perspective. Our review provides new insights regarding the discovery of aging biomarkers, mechanism of aging, and identification of novel antiaging targets. Overall, data from genomics, transcriptomics, proteomics, metabolomics, integromics, microbiomics, and systems biology contribute to the identification of new candidate biomarkers for aging and novel targets for antiaging interventions.
Collapse
Affiliation(s)
- Lei Wu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Xinqiang Xie
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Tingting Liang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Jun Ma
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Lingshuang Yang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Juan Yang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Longyan Li
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Yu Xi
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Haixin Li
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Jumei Zhang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Xuefeng Chen
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Yu Ding
- Department of Food Science and Technology, Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, China
| | - Qingping Wu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| |
Collapse
|
23
|
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: 26] [Impact Index Per Article: 8.7] [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.
Collapse
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
| |
Collapse
|
24
|
González-Bautista E, de Souto Barreto P, Andrieu S, Rolland Y, Vellas B. Screening for intrinsic capacity impairments as markers of increased risk of frailty and disability in the context of integrated care for older people: Secondary analysis of MAPT. Maturitas 2021; 150:1-6. [PMID: 34274071 DOI: 10.1016/j.maturitas.2021.05.011] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 04/29/2021] [Accepted: 05/31/2021] [Indexed: 01/01/2023]
Abstract
AIM This longitudinal secondary analysis of the Multidomain Alzheimer Preventive Trial (MAPT) aimed to test whether the Integrated Care for Older People (ICOPE) Step 1 screening tool is able to identify people at risk of developing frailty and disability in basic (ADL) and instrumental (IADL) activities of daily living among community-dwelling older adults. PARTICIPANTS AND SETTING Seven hundred and fifty-nine (n = 759) non-demented participants of the MAPT aged 70-89 years were assessed in memory clinics in France between 2008 and 2013. METHODS We measured six intrinsic capacity (IC) impairments, adapted from the ICOPE screening tool. We used Cox models to estimate the adjusted hazard ratios of incident frailty and IADL/ADL disability. Incident frailty was defined by Fried's phenotype, and incident disability was measured according to Lawton and Katz for IADLs and ADLs. RESULTS Limited mobility (HR= 2.97, 95%CI= 1.85-4.76), depressive symptoms (HR= 2.07, 95%CI= 1.03-4.19), and visual impairment (HR= 1.70, 95%CI 1.01-2.86) were associated with a higher incidence of frailty over 5 years. Each additional IC condition demonstrated a positive association with a higher risk of incident frailty, IADL, ADL disability, with risk increased by 47%, 27%, and 23% over 5 years, respectively. CONCLUSION Screening for IC impairments identifies older adults at higher risk of incident frailty and incident IADL/ADL disability. It is relevant to screen for these impairments together because the risk of frailty and disability increases with each additional one. ClinicalTrials.gov identifier: NCT00672685.
Collapse
Affiliation(s)
- Emmanuel González-Bautista
- Gerontopole of Toulouse, Institute of Aging, Toulouse University Hospital (CHU Toulouse), Toulouse, France; UPS/Inserm UMR1027, University of Toulouse III, Toulouse, France.
| | - Philipe de Souto Barreto
- Gerontopole of Toulouse, Institute of Aging, Toulouse University Hospital (CHU Toulouse), Toulouse, France; UPS/Inserm UMR1027, University of Toulouse III, Toulouse, France.
| | - Sandrine Andrieu
- Gerontopole of Toulouse, Institute of Aging, Toulouse University Hospital (CHU Toulouse), Toulouse, France; UPS/Inserm UMR1027, University of Toulouse III, Toulouse, France.
| | - Yves Rolland
- Gerontopole of Toulouse, Institute of Aging, Toulouse University Hospital (CHU Toulouse), Toulouse, France; UPS/Inserm UMR1027, University of Toulouse III, Toulouse, France.
| | - Bruno Vellas
- Gerontopole of Toulouse, Institute of Aging, Toulouse University Hospital (CHU Toulouse), Toulouse, France; UPS/Inserm UMR1027, University of Toulouse III, Toulouse, France.
| | | |
Collapse
|
25
|
Rivero-Segura NA, Bello-Chavolla OY, Barrera-Vázquez OS, Gutierrez-Robledo LM, Gomez-Verjan JC. Promising biomarkers of human aging: In search of a multi-omics panel to understand the aging process from a multidimensional perspective. Ageing Res Rev 2020; 64:101164. [PMID: 32977058 DOI: 10.1016/j.arr.2020.101164] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 08/18/2020] [Accepted: 08/26/2020] [Indexed: 12/14/2022]
Abstract
The aging process has been linked to the occurrence of chronic diseases and functional impairments, including cancer, sarcopenia, frailty, metabolic, cardiovascular, and neurodegenerative diseases. Nonetheless, aging is highly variable and heterogeneous and represents a challenge for its characterization. In this sense, intrinsic capacity (IC) stands as a novel perspective by the World Health Organization, which integrates the individual wellbeing, environment, and risk factors to understand aging. However, there is a lack of quantitative and qualitative attributes to define it objectively. Therefore, in this review we attempt to summarize the most relevant and promising biomarkers described in clinical studies at date over different molecular levels, including epigenomics, transcriptomics, proteomics, metabolomics, and the microbiome. To aid gerontologists, geriatricians, and biomedical researchers to understand the aging process through the IC. Aging biomarkers reflect the physiological state of individuals and the underlying mechanisms related to homeostatic changes throughout an individual lifespan; they demonstrated that aging could be measured independently of time (that may explain its heterogeneity) and to be helpful to predict age-related syndromes and mortality. In summary, we highlight the areas of opportunity and gaps of knowledge that must be addressed to fully integrate biomedical findings into clinically useful tools and interventions.
Collapse
Affiliation(s)
| | - O Y Bello-Chavolla
- Dirección de Investigación, Instituto Nacional de Geriatría, Mexico; Department of Physiology, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - O S Barrera-Vázquez
- Departamento de Famacología, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | | | - J C Gomez-Verjan
- Dirección de Investigación, Instituto Nacional de Geriatría, Mexico.
| |
Collapse
|