*Result*: Reliability and Validity of a Self-administered Online Assessment of Intrinsic Capacity: A Singapore Cohort Study.

Title:
Reliability and Validity of a Self-administered Online Assessment of Intrinsic Capacity: A Singapore Cohort Study.
Authors:
Choo WMR; Geriatric Education and Research Institute, Singapore., Lau LK; Geriatric Education and Research Institute, Singapore., Cheong LLG; Centre for Research on Successful Ageing, Singapore Management University, Singapore., Tan CSM; Centre for Research on Successful Ageing, Singapore Management University, Singapore., Tov W; Centre for Research on Successful Ageing, Singapore Management University, Singapore., Straughan P; Centre for Research on Successful Ageing, Singapore Management University, Singapore., Ding YY; Geriatric Education and Research Institute, Singapore.; Department of Geriatric Medicine & Institute of Geriatrics and Active Aging, Tan Tock Seng Hospital, Singapore.; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.; Yong Loo Lin School of Medicine, National University of Singapore, Singapore., Lim WS; Geriatric Education and Research Institute, Singapore.; Department of Geriatric Medicine & Institute of Geriatrics and Active Aging, Tan Tock Seng Hospital, Singapore.; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.; Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Source:
Annals of geriatric medicine and research [Ann Geriatr Med Res] 2025 Dec; Vol. 29 (4), pp. 450-458. Date of Electronic Publication: 2025 Sep 03.
Publication Type:
Journal Article; Validation Study
Language:
English
Journal Info:
Publisher: Korean Geriatrics Society Country of Publication: Korea (South) NLM ID: 101701105 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2508-4909 (Electronic) Linking ISSN: 25084798 NLM ISO Abbreviation: Ann Geriatr Med Res Subsets: MEDLINE
Imprint Name(s):
Original Publication: Seoul : Korean Geriatrics Society, [2016]-
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Grant Information:
MOE2019-T3-1-006 Ministry of Education - Singapore
Contributed Indexing:
Keywords: Aged; Factor analysis; Health surveys; Healthy ageing; Reproducibility of results; Self report
Entry Date(s):
Date Created: 20250903 Date Completed: 20260105 Latest Revision: 20260107
Update Code:
20260130
PubMed Central ID:
PMC12766310
DOI:
10.4235/agmr.25.0036
PMID:
40899226
Database:
MEDLINE

*Further Information*

*Background: To ascertain the construct validity and reliability of a self-administered web-based assessment of intrinsic capacity (IC). The study design was a cross-sectional analysis using data from a prospective cohort.
Methods: We included data from 6,434 respondents (mean age 65.33±5.81 years; 52.4% women) of the Singapore Life Panel population study who participated in the online surveys in March 2022 and May 2022. Incremental nested factor structures of IC were modelled with confirmatory factor analysis (CFA) and their goodness-of-fit were assessed mainly with root mean square error of approximation (RMSEA), comparative fit index (CFI), Tucker-Lewis index (TLI), and standardized root mean square residual (SRMR). With the most parsimonious model as our eventual factor structure, we further evaluated IC and its domains with reliability indices.
Results: CFA demonstrated construct validity for the second-order factor structure with acceptable overall model fit: χ2(147)=7,696.276, p<0.001; CLI=0.947; TLI=0.938; RMSEA=0.089; SRMR=0.051. Amongst the domains, vitality had highest factor loading (0.889), whereas locomotion and cognition (0.534 and 0.601, respectively) had lowest loadings with the second-order IC factor. All five IC domains and the general IC factor fulfilled reliability thresholds (construct validity [CR] or hierarchical omega ≥0.7; average variance extracted ≥0.5); psychological and locomotion domains have high CR (>0.9), whereas vitality and sensory domains have lower values of CR.
Conclusion: Our study provides proof-of-concept evidence regarding the construct validity and reliability of a self-administered web-based assessment of IC index that can potentially be scalable in other population settings.*