PMID- 38537388
OWN - NLM
STAT- Publisher
LR  - 20240327
IS  - 1873-4111 (Electronic)
IS  - 0378-5122 (Linking)
VI  - 185
DP  - 2024 Mar 17
TI  - Development and validation of an intrinsic capacity score in the UK Biobank 
      study.
PG  - 107976
LID - S0378-5122(24)00071-9 [pii]
LID - 10.1016/j.maturitas.2024.107976 [doi]
AB  - BACKGROUND: In 2015, the World Health Organization introduced the concept of 
      intrinsic capacity (IC) to define the individual-level characteristics that 
      enable an older person to be and do the things they value. This study developed 
      an intrinsic capacity score for UK Biobank study participants and validated its 
      use as a tool for health outcome prediction, understanding healthy aging 
      trajectories, and genetic research. METHODS: Our analysis included data from 
      45,208 UK biobank participants who had a complete record of the ten variables 
      included in the analysis. Factor adequacy was tested using Kaiser-Meyer-Olkin, 
      Barthelt's, and the determinant of matrix tests, and the number of factors was 
      determined by the parallel analysis method. Exploratory and confirmatory factor 
      analyses were employed to determine the structure and dimensionality of 
      indicators. Finally, the intrinsic capacity score was generated, and its 
      construct and predictive validities as well as reliability were assessed. 
      RESULTS: The factor analysis identified a multidimensional construct comprising 
      one general factor (intrinsic capacity) and five specific factors (locomotor, 
      vitality, cognitive, psychological, and sensory). The bifactor structure showed a 
      better fit (comparative fit index = 0.995, Tucker Lewis index = 0.976, root mean 
      square error of approximation = 0.025, root mean square residual = 0.009) than 
      the conventional five-factor structure. The intrinsic capacity score generated 
      using the bifactor confirmatory factor analysis has good construct validity, as 
      demonstrated by an inverse association with age (lower intrinsic capacity in 
      older age; (beta) =-0.035 (95%CI: -0.036, -0.034)), frailty (lower intrinsic 
      capacity score in prefrail participants, beta = -0.104 (95%CI: (-0.114, -0.094)) and 
      frail participants, beta = -0.227 (95%CI: -0.267, -0.186) than robust participants), 
      and comorbidity (a lower intrinsic capacity score associated with increased 
      Charlson's comorbidity index, beta =-0.019 (95%CI: -0.022, -0.015)). The intrinsic 
      capacity score also predicted comorbidity (a one-unit increase in baseline 
      intrinsic capacity score led to a lower Charlson's comorbidity index, beta = 0.147 
      (95%CI: -0.173, -0.121)) and mortality (a one-unit increase in baseline intrinsic 
      capacity score led to 25 % lower risk of death, odds ratio = 0.75(95%CI: 0.663, 
      0.848)). CONCLUSION: The bifactor structure showed a better fit in all goodness 
      of fit tests. The intrinsic capacity construct has strong structural, construct, 
      and predictive validities and is a promising tool for monitoring aging 
      trajectories.
CI  - Copyright (c) 2024 The Authors. Published by Elsevier B.V. All rights reserved.
FAU - Beyene, Melkamu Bedimo
AU  - Beyene MB
AD  - Discipline of Psychiatry, School of Medicine, University of Adelaide, Adelaide, 
      SA, Australia; Adelaide Geriatrics Training and Research with Aged Care Centre 
      (GTRAC), Faculty of Health and Medical Sciences, University of Adelaide, 
      Woodville, SA, 5011, Australia.
FAU - Visvanathan, Renuka
AU  - Visvanathan R
AD  - Adelaide Geriatrics Training and Research with Aged Care Centre (GTRAC), Faculty 
      of Health and Medical Sciences, University of Adelaide, Woodville, SA, 5011, 
      Australia; Aged and Extended Care Services, The Queen Elizabeth Hospital, Central 
      Adelaide Local Health Network, Adelaide, SA, Australia.
FAU - Ahmed, Muktar
AU  - Ahmed M
AD  - Discipline of Psychiatry, School of Medicine, University of Adelaide, Adelaide, 
      SA, Australia.
FAU - Benyamin, Beben
AU  - Benyamin B
AD  - Australian Centre for Precision Health, Allied Health and Human Performance, 
      University of South Australia, Adelaide 5000, Australia; South Australian Health 
      and Medical Research Institute, Adelaide 5000, Australia.
FAU - Beard, John R
AU  - Beard JR
AD  - International Longevity Centre USA, Columbia University Mailman School of Public 
      Health, NY, USA.
FAU - Amare, Azmeraw T
AU  - Amare AT
AD  - Discipline of Psychiatry, School of Medicine, University of Adelaide, Adelaide, 
      SA, Australia; Adelaide Geriatrics Training and Research with Aged Care Centre 
      (GTRAC), Faculty of Health and Medical Sciences, University of Adelaide, 
      Woodville, SA, 5011, Australia. Electronic address: 
      azmeraw.amare@adelaide.edu.au.
LA  - eng
PT  - Journal Article
DEP - 20240317
PL  - Ireland
TA  - Maturitas
JT  - Maturitas
JID - 7807333
SB  - IM
OTO - NOTNLM
OT  - Functional ability
OT  - Healthy aging
OT  - Intrinsic capacity
OT  - Mental functioning
OT  - Physical functioning
OT  - WHO
COIS- Declaration of competing interest Professor Renuka Visvanathan and Professor John 
      Beard are members of WHO Clinical Consortium in Healthy Aging; the views 
      expressed in this article are those of the authors and do not necessarily reflect 
      the views of WHO.
EDAT- 2024/03/28 00:45
MHDA- 2024/03/28 00:45
CRDT- 2024/03/27 19:05
PHST- 2023/11/27 00:00 [received]
PHST- 2024/02/06 00:00 [revised]
PHST- 2024/03/14 00:00 [accepted]
PHST- 2024/03/28 00:45 [medline]
PHST- 2024/03/28 00:45 [pubmed]
PHST- 2024/03/27 19:05 [entrez]
AID - S0378-5122(24)00071-9 [pii]
AID - 10.1016/j.maturitas.2024.107976 [doi]
PST - aheadofprint
SO  - Maturitas. 2024 Mar 17;185:107976. doi: 10.1016/j.maturitas.2024.107976.