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Naidoo S, Naidoo N. Depression's double-edged impact on body mass index. A hidden catalyst for non-communicable diseases in South Africa's aging population in long-term care facilities. PLoS One 2025; 20:e0319188. [PMID: 39946381 PMCID: PMC11825011 DOI: 10.1371/journal.pone.0319188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2024] [Accepted: 01/29/2025] [Indexed: 02/16/2025] Open
Abstract
INTRODUCTION The global population of older people, who have a high prevalence of non-communicable diseases, is on an upward trajectory, notably in South Africa. The expansion of this demographic will further strain an already overwhelmed healthcare system, primarily taxed by infectious diseases in younger populations. Physical activity has been shown to effectively reduce risk factors for non-communicable diseases in older people. OBJECTIVE To investigate the associations between depression, body mass index (BMI) and physical activity and its complex interplay on non-communicable diseases in older people residing in South African long-term care facilities. METHOD We conducted a cross-sectional study on 396 participants residing in South African rural and urban long-term care facilities to analyse BMI, waist-hip ratio, physical activity and depression levels. The Geriatric Depression Scale and the International Physical Activity Questionnaire was used to evaluate depression and physical activity respectively. RESULTS The sample had a mean BMI of 27.53 kg/m2 (95% CI [26.99, 28.07], SD = 5.49), with an obesity prevalence of 31.82%. Additionally, 35.10% of participants exhibited some degree of depressive symptoms. In an ordinal regression model BMI was a significant predictor (B = .10, p = .007) for increases in depression. Conversely in a linear regression model, depression (B = -2.01, p = .004) and physical activity (B = -.001, p = .008) were predictors for decreases in BMI. CONCLUSION The relationship between depression and BMI in older people is complex, with depression often leading to both weight loss and, conversely, increased BMI contributing to a higher risk of depression. Physical activity serves as a critical intervention, helping to reduce both BMI and depressive symptoms among older people residing in long-term care facilities. This underscores the importance of integrating PA programs into care strategies to improve overall health and well-being in this population.
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Affiliation(s)
- Shane Naidoo
- Department of Health and Rehabilitation Sciences, University of Cape Town, Cape Town, South Africa
| | - Nirmala Naidoo
- Department of Health and Rehabilitation Sciences, University of Cape Town, Cape Town, South Africa
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Berbon C, Takeda C, Balardy L, Lafont C, Tavassoli N, Carrie I, Guyonnet S, de Kerimel J, Mathieu C, Pennetier D, Bezombes V, Nourhashemi F, Vellas B, Andrieu S, Soto-Martin ME. Implementing the WHO ICOPE Program in Clinical Practice: Three Years of Lessons From Monitoring 27 082 Participants Using the ICOPE Monitor Digital Tool. J Gerontol A Biol Sci Med Sci 2025; 80:glae278. [PMID: 39549299 DOI: 10.1093/gerona/glae278] [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: 02/15/2024] [Indexed: 11/18/2024] Open
Abstract
BACKGROUND To describe the implementation of the ICOPE program in France using a digital tool in order to: (1) describe the characteristics of people completing the screener, identifying differences across assessors (healthcare professionals (HCPs), non-HCPs, or self-assessment); (2) describe the characteristics of follow-up and assessments for people with abnormal screening test; and (3) describe the recommendations in the intervention care plans for people with a decline in intrinsic capacity. METHODS A descriptive study, presenting the results at initial screening, as well as at assessment when needed, and the recommendations issued during Step 3. We compared these results based on whether the participant was enrolled by an HCP, by a non-HCP, or by self-assessment. RESULTS A total of 27 082 participants were enrolled. 67.9% were registered by HCPs. 90.8% participants screened positive at Step 1. Participants who completed the self-assessment were significantly younger (70.9 years vs 76.4 for HCPs or 77.9 for non-HCPs, p < .01) and less frequently had alerts in Step 1 (83.8% vs 90.8% for HCPs or 94.8% for non-HCPs). Step 2 in-depth assessments were carried out for 8.9% of the participants. In Step 2, only the SPPB showed significantly better motor abilities in individuals enrolled through self-assessment (median and IQR: 11 (10-12) vs 10 (8-12) for HCPs and 10 (7-12) for non-HCPs). Prevention care plans were proposed, mainly physical activity (n = 833, 33.7%) and nutrition counseling (n = 1 233, 51.7%). CONCLUSIONS This study highlights the major role of HCPs in the implementation of the ICOPE program. Self-assessment enables the enrollment of more robust seniors, allowing for an early detection and treatment.
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Affiliation(s)
- Caroline Berbon
- IHU HealthAge & WHO Collaborating Center for Frailty, Clinical and Geroscience Research, and Geriatric Training, Toulouse University Hospital, Toulouse, France
- Maintain Aging Research Team, Centre d'Epidémiologie et de Recherche en Santé des Populations, Inserm, Université Paul Sabatier, Université de Toulouse, Toulouse, France
| | - Catherine Takeda
- IHU HealthAge & WHO Collaborating Center for Frailty, Clinical and Geroscience Research, and Geriatric Training, Toulouse University Hospital, Toulouse, France
| | - Laurent Balardy
- IHU HealthAge & WHO Collaborating Center for Frailty, Clinical and Geroscience Research, and Geriatric Training, Toulouse University Hospital, Toulouse, France
- Maintain Aging Research Team, Centre d'Epidémiologie et de Recherche en Santé des Populations, Inserm, Université Paul Sabatier, Université de Toulouse, Toulouse, France
| | - Christine Lafont
- IHU HealthAge & WHO Collaborating Center for Frailty, Clinical and Geroscience Research, and Geriatric Training, Toulouse University Hospital, Toulouse, France
| | - Néda Tavassoli
- IHU HealthAge & WHO Collaborating Center for Frailty, Clinical and Geroscience Research, and Geriatric Training, Toulouse University Hospital, Toulouse, France
| | - Isabelle Carrie
- IHU HealthAge & WHO Collaborating Center for Frailty, Clinical and Geroscience Research, and Geriatric Training, Toulouse University Hospital, Toulouse, France
| | - Sophie Guyonnet
- IHU HealthAge & WHO Collaborating Center for Frailty, Clinical and Geroscience Research, and Geriatric Training, Toulouse University Hospital, Toulouse, France
- Maintain Aging Research Team, Centre d'Epidémiologie et de Recherche en Santé des Populations, Inserm, Université Paul Sabatier, Université de Toulouse, Toulouse, France
| | - Justine de Kerimel
- IHU HealthAge & WHO Collaborating Center for Frailty, Clinical and Geroscience Research, and Geriatric Training, Toulouse University Hospital, Toulouse, France
| | - Céline Mathieu
- IHU HealthAge & WHO Collaborating Center for Frailty, Clinical and Geroscience Research, and Geriatric Training, Toulouse University Hospital, Toulouse, France
| | - Delphine Pennetier
- IHU HealthAge & WHO Collaborating Center for Frailty, Clinical and Geroscience Research, and Geriatric Training, Toulouse University Hospital, Toulouse, France
| | - Véronique Bezombes
- IHU HealthAge & WHO Collaborating Center for Frailty, Clinical and Geroscience Research, and Geriatric Training, Toulouse University Hospital, Toulouse, France
| | - Fatemeh Nourhashemi
- IHU HealthAge & WHO Collaborating Center for Frailty, Clinical and Geroscience Research, and Geriatric Training, Toulouse University Hospital, Toulouse, France
- Maintain Aging Research Team, Centre d'Epidémiologie et de Recherche en Santé des Populations, Inserm, Université Paul Sabatier, Université de Toulouse, Toulouse, France
| | - Bruno Vellas
- IHU HealthAge & WHO Collaborating Center for Frailty, Clinical and Geroscience Research, and Geriatric Training, Toulouse University Hospital, Toulouse, France
- Maintain Aging Research Team, Centre d'Epidémiologie et de Recherche en Santé des Populations, Inserm, Université Paul Sabatier, Université de Toulouse, Toulouse, France
| | - Sandrine Andrieu
- IHU HealthAge & WHO Collaborating Center for Frailty, Clinical and Geroscience Research, and Geriatric Training, Toulouse University Hospital, Toulouse, France
- Maintain Aging Research Team, Centre d'Epidémiologie et de Recherche en Santé des Populations, Inserm, Université Paul Sabatier, Université de Toulouse, Toulouse, France
| | - Maria-Eugenia Soto-Martin
- IHU HealthAge & WHO Collaborating Center for Frailty, Clinical and Geroscience Research, and Geriatric Training, Toulouse University Hospital, Toulouse, France
- Maintain Aging Research Team, Centre d'Epidémiologie et de Recherche en Santé des Populations, Inserm, Université Paul Sabatier, Université de Toulouse, Toulouse, France
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Tan F, Wei X, Zhang J, Zhao Y, Tong X, Michel JP, Shao R, Gong E. The assessment and detection rate of intrinsic capacity deficits among older adults: a systematic review and meta-analysis. BMC Geriatr 2024; 24:485. [PMID: 38831281 PMCID: PMC11149255 DOI: 10.1186/s12877-024-05088-w] [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: 03/24/2024] [Accepted: 05/17/2024] [Indexed: 06/05/2024] Open
Abstract
BACKGROUND Assessing and monitoring intrinsic capacity (IC) is an effective strategy to promote healthy ageing by intervening early in high-risk populations. This review systematically analyzed the global detection rates of IC deficits and explored variations across diverse populations and data collection methods. METHODS This study was preregistered with PROSPERO, CRD42023477315. In this systematic review and meta-analysis, we systematically searched ten databases from January 2015 to October 2023, for peer-reviewed, observational studies or baseline survey of trials that assessed IC deficits among older adults aged 50 and above globally following the condition, context and population approach. The main outcome was intrinsic capacity deficits which could be assessed by any tools. Meta-analyses were performed by a random-effect model to pool the detection rates across studies and subgroup analyses were conducted by populations and data collection methods. RESULTS Fifty-six studies conducted in 13 countries were included in the review and 44 studies with detection rates of IC were included in the meta-analysis. The pooled detection rate of IC deficits was 72.0% (65.2%-78.8%) and deficits were most detected in sensory (49.3%), followed by locomotion (40.0%), cognition (33.1%), psychology (21.9%), and vitality (20.1%). Variations in detection rates of IC deficits were observed across studies, with higher rates observed in low- and middle-income countries (74.0%) and hyper-aged societies (85.0%). Study population and measurement tools also explained the high heterogeneity across studies. CONCLUSION IC deficits are common among older adults, while heterogeneity exists across populations and by measurement. Early monitoring with standardized tools and early intervention on specific subdomains of IC deficits are greatly needed for effective strategies to promote healthy ageing.
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Affiliation(s)
- Fangqin Tan
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, 31, Beijige 3 Aly, Dongcheng District, Beijing, China
| | - Xiaoxia Wei
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, 31, Beijige 3 Aly, Dongcheng District, Beijing, China
| | - Ji Zhang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, 31, Beijige 3 Aly, Dongcheng District, Beijing, China
| | - Yihao Zhao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, 31, Beijige 3 Aly, Dongcheng District, Beijing, China
| | - Xunliang Tong
- Department of Pulmonary and Critical Care Medicine, Beijing Hospital, National Centre of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Jean-Pierre Michel
- University of Geneva, Geneva, Switzerland
- French Academy of Medicine, Paris, France
| | - Ruitai Shao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, 31, Beijige 3 Aly, Dongcheng District, Beijing, China.
- State Key Laboratory of Respiratory Health and Multimorbidity, Chinese Academy of Medical Sciences & Peking Union Medical College, 31, Beijige 3 Aly, Dongcheng District, Beijing, China.
| | - Enying Gong
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, 31, Beijige 3 Aly, Dongcheng District, Beijing, China.
- State Key Laboratory of Respiratory Health and Multimorbidity, Chinese Academy of Medical Sciences & Peking Union Medical College, 31, Beijige 3 Aly, Dongcheng District, Beijing, China.
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Wei X, Chen Y, Qin J, Yang Y, Yang T, Yan F, Zhang Z, Han L, Ma Y. Factors associated with the intrinsic capacity in older adults: A scoping review. J Clin Nurs 2024; 33:1739-1750. [PMID: 38345142 DOI: 10.1111/jocn.17017] [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: 08/01/2023] [Revised: 01/07/2024] [Accepted: 01/10/2024] [Indexed: 04/04/2024]
Abstract
INTRODUCTION In 2015, the term 'intrinsic capacity' (IC) was proposed by the World Health Organisation to promote healthy aging. However, the factors associated with IC are still discrepant and uncertain. AIM We aim to synthesise the factors connected with IC. METHODS This scoping review followed the five-stage framework of Arksey and O'Malley and was reported using PRISMA-ScR guidelines. RESULTS In all, 29 articles were included. IC of older adults is associated with demographic characteristics, socioeconomic factors, disease conditions, behavioural factors, and biomarkers. Age, sex, marital status, occupation status, education, income/wealth, chronic diseases, hypertension, diabetes, disability, smoking status, alcohol consumption, and physical activity were emerged as important factors related to the IC of older adults. CONCLUSIONS This review shows that IC is related to multiple factors. Understanding these factors can provide the healthcare personnel with the theoretical basis for intervening and managing IC in older adults. RELEVANCE TO CLINICAL PRACTICE The influencing factors identified in the review help to guide older adults to maintain their own intrinsic capacity, thereby promoting their health and well-being. The modifiable factors also provide evidence for healthcare personnel to develop targeted intervention strategies to delay IC decline. NO PATIENT OR PUBLIC CONTRIBUTION As this is a scoping review, no patient or public contributions are required.
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Affiliation(s)
- Xiaoqin Wei
- Evidence-Based Nursing Center, School of Nursing, Lanzhou University, Lanzhou, Gansu Province, China
| | - Yajing Chen
- Evidence-Based Nursing Center, School of Nursing, Lanzhou University, Lanzhou, Gansu Province, China
| | - Jiangxia Qin
- Evidence-Based Nursing Center, School of Nursing, Lanzhou University, Lanzhou, Gansu Province, China
| | - Yiyi Yang
- Evidence-Based Nursing Center, School of Nursing, Lanzhou University, Lanzhou, Gansu Province, China
| | - Tingting Yang
- Evidence-Based Nursing Center, School of Nursing, Lanzhou University, Lanzhou, Gansu Province, China
| | - Fanghong Yan
- Evidence-Based Nursing Center, School of Nursing, Lanzhou University, Lanzhou, Gansu Province, China
| | - Ziyao Zhang
- Lanzhou University of Arts and Science, Lanzhou, Gansu Province, China
| | - Lin Han
- Evidence-Based Nursing Center, School of Nursing, Lanzhou University, Lanzhou, Gansu Province, China
- Nursing Department, Gansu Provincial Hospital, Lanzhou, Gansu Province, China
| | - Yuxia Ma
- Evidence-Based Nursing Center, School of Nursing, Lanzhou University, Lanzhou, Gansu Province, China
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Beyene MB, Visvanathan R, Amare AT. Intrinsic Capacity and Its Biological Basis: A Scoping Review. J Frailty Aging 2024; 13:193-202. [PMID: 39082762 DOI: 10.14283/jfa.2024.30] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2025]
Abstract
BACKGROUND In 2015, the World Health Organization (WHO) introduced the concept of intrinsic capacity (IC) to define healthy aging based on functional capacity. In this scoping review, we summarized available evidence on the development and validation of IC index scores, the association of IC with health-related factors, and its biological basis. The review specifically focused on identifying current research gaps, proposed strategies to leverage biobank datasets, and opportunities to study the genetic mechanisms and gene-environment interactions underlying IC. METHODS The literature search was conducted across six databases, including PubMed, CINAHL, Web of Science, Scopus, AgeLine, and PsycINFO, using keywords related to IC. RESULTS This review included 84 articles, and most of them (n=38) adopted the 5-domains approach to operationalize IC, utilizing correlated five factors or bifactor structures. Intrinsic capacity has consistently shown significant associations with socio-demographic and health-related outcomes, including age, sex, wealth index, nutrition, exercise, smoking, alcohol use, ADL, IADL, frailty, multimorbidity, and mortality. While studies on the biological basis of the composite IC are limited, with only one study finding a significant association with the ApoE gene variants, studies on specific IC domains - locomotor, vitality, cognitive, psychological, and sensory suggest a heritability of 20-85% of IC and several genetic variants associated with these subdomains have been identified. However, evidence on how genetic and environmental factors influence IC is still lacking, with no available study to date. CONCLUSION Our review found that there was inconsistency in the use of standardized IC measurement tools and indicators, but the IC indices had shown good construct and predictive validity. Research into the genetic and gene-to-environment interactions underlying IC is still lacking, which calls for the use of resources from large biobank datasets in the future.
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Affiliation(s)
- M B Beyene
- Azmeraw T. Amare, Adelaide Medical School, The University of Adelaide, Adelaide, SA 5000, Australia, Tel: +61 8 83137438, E-Mail:
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de Oliveira VP, Ferriolli E, Lourenço RA, González-Bautista E, de Souto Barreto P, de Mello RGB. The sensitivity and specificity of the WHO's ICOPE screening tool, and the prevalence of loss of intrinsic capacity in older adults: A scoping review. Maturitas 2023; 177:107818. [PMID: 37542782 DOI: 10.1016/j.maturitas.2023.107818] [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: 02/14/2023] [Revised: 05/26/2023] [Accepted: 07/27/2023] [Indexed: 08/07/2023]
Abstract
BACKGROUND The World Health Organization has developed the Integrated Care for Older People (ICOPE) program, a public health strategy to maintain older adults' functional abilities and promote healthier aging. The approach comprises a 5-step pathway. Step 1 is the screening for impairment in functions, and Step 2 is an in-depth evaluation to confirm the presence and severity of functional impairment. These initial two steps are crucial to determine the subsequent plan of care (Step 3) and follow-up (Step 4). The fifth step encompasses actions to support families and caregivers and to engage communities. This review gathers data from the literature on the prevalence of positive screenings regarding intrinsic capacity detected by the program's first-step screening tool, and on currently available results regarding the instrument's sensitivity and specificity. METHODS AND FINDINGS Electronic searches were conducted in the PubMed, Cochrane, Embase, and SciElo databases, the medRxiv platform, and recent human aging scientific events, looking for research analyzing the ICOPE screening instrument. Studies reporting data on the prevalence of positive screenings for loss of intrinsic capacity using the proposed screening tool and/or findings on the instrument's sensitivity and specificity were included. A total of 7 publications with participants aged 50 years or more were selected. The prevalence of at least one impairment in intrinsic capacity detected by the instrument varied among the studies from 17.1 % to 94.3 %. Sensitivity ranged from 26.4 % to 100 % and specificity from 22 % to 96 %, depending on the setting and the assessed domain. CONCLUSION Currently available data are heterogeneous, and different results were found among the studies due to diverse settings and methodologies. The evidence on the ICOPE screening tool's performance in different populations is still scarce and reinforces the need for further research worldwide.
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Affiliation(s)
- Vitor Pelegrim de Oliveira
- Geriatric Unit - Internal Medicine Division, Hospital de Clínicas de Porto Alegre, Rua Ramiro Barcelos, 2350, 5° andar, sala C 5006, Bloco C, Porto Alegre, RS CEP 90035-903, Brazil; Post Graduation Program in Medical Sciences: Endocrinology, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos, 2400, 2° andar, Porto Alegre, RS CEP 90035-000, Brazil; Gérontopôle de Toulouse, Institut du Vieillissement, Centre Hospitalier-Universitaire de Toulouse, 37 Allés Jules Guesdes, Toulouse, CP 31000, France.
| | - Eduardo Ferriolli
- Laboratório de Investigação Médica em Envelhecimento (LIM-66), Serviço de Geriatria, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo (USP), Av. Dr. Enéas de Carvalho Aguiar, 155, 8° andar, Bloco 8A, Setor Azul, São Paulo, SP CEP 05003-900, Brazil.
| | - Roberto Alves Lourenço
- Faculty of Health Sciences, Internal Medicine Department, Human Aging Research Laboratory, Universidade do Estado do Rio de Janeiro, Av. Mal. Rondon, 381, Rio de Janeiro, RJ CEP 20950-003, Brazil.
| | - Emmanuel González-Bautista
- Gérontopôle de Toulouse, Institut du Vieillissement, Centre Hospitalier-Universitaire de Toulouse, 37 Allés Jules Guesdes, Toulouse, CP 31000, France
| | - Philipe de Souto Barreto
- Gérontopôle de Toulouse, Institut du Vieillissement, Centre Hospitalier-Universitaire de Toulouse, 37 Allés Jules Guesdes, Toulouse, CP 31000, France
| | - Renato Gorga Bandeira de Mello
- Geriatric Unit - Internal Medicine Division, Hospital de Clínicas de Porto Alegre, Rua Ramiro Barcelos, 2350, 5° andar, sala C 5006, Bloco C, Porto Alegre, RS CEP 90035-903, Brazil; Post Graduation Program in Medical Sciences: Endocrinology, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos, 2400, 2° andar, Porto Alegre, RS CEP 90035-000, Brazil.
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