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      A Rapid Review of the Measurement of Intrinsic Capacity in Older Adults

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          Abstract

          Objectives

          This study aims to address the knowledge gap and summarise the measurement for intrinsic capacity for the five WHO domains across different populations. It specifically aims to identify measurement tools, methods used for computation of a composite intrinsic capacity index and factors associated with intrinsic capacity among older adults.

          Methods

          We performed literature review in Medline, including search terms “aged” or “elderly” and “intrinsic capacity” for articles published from 2000–2020 in English. Studies which assessed intrinsic capacity in the five WHO domains were included. Information pertaining to study setting, methods used for measuring the domains of intrinsic capacity, computation methods for composite intrinsic capacity index, and details on tool validation were extracted.

          Results

          Seven articles fulfilling the inclusion criteria were included in the review. Of these, the majority were conducted in community settings (n=5) and were retrospective studies (n=6). The most commonly used tools for assessing intrinsic capacity were gait speed test and chair stand test (locomotion); handgrip-strength and mini-nutritional assessment (vitality); Mini-Mental State Examination (cognition); Geriatric Depression Scale (GDS) and Center for Epidemiological Studies Depression Scale (CES-D) (psychological), and self-reported vision and health questionnaires (sensory). Among the tools used to operationalise the domains, we found variations and non-concordance, especially in the vitality and psychological domains, which make inter-study comparison difficult. Validated scales were less commonly used for vitality and sensory domains. Biomarkers were used for locomotion, vitality, and sensory domains. Self-reported measures were mostly used in the psychological and sensory domains. Three studies operationalised a global score for intrinsic capacity, whereby scores from the individual domains were used to create a composite intrinsic capacity index, using two approaches: a) Structural equation modelling, and b) Sub-scores for each domain which were combined either by arithmetic sum or average.

          Conclusion

          We identified considerable variations in measurement instruments and processes which are used to assess intrinsic capacity, especially among the vitality and psychological domains. A standardized intrinsic capacity composite score for clinical or community settings has not been operationalised yet. Further validation via prospective studies of the intrinsic capacity concept and computation of composite score using validated scales are needed.

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          Most cited references17

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          Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement

          Systematic reviews should build on a protocol that describes the rationale, hypothesis, and planned methods of the review; few reviews report whether a protocol exists. Detailed, well-described protocols can facilitate the understanding and appraisal of the review methods, as well as the detection of modifications to methods and selective reporting in completed reviews. We describe the development of a reporting guideline, the Preferred Reporting Items for Systematic reviews and Meta-Analyses for Protocols 2015 (PRISMA-P 2015). PRISMA-P consists of a 17-item checklist intended to facilitate the preparation and reporting of a robust protocol for the systematic review. Funders and those commissioning reviews might consider mandating the use of the checklist to facilitate the submission of relevant protocol information in funding applications. Similarly, peer reviewers and editors can use the guidance to gauge the completeness and transparency of a systematic review protocol submitted for publication in a journal or other medium.
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            A Short Physical Performance Battery Assessing Lower Extremity Function: Association With Self-Reported Disability and Prediction of Mortality and Nursing Home Admission

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              Information bias in health research: definition, pitfalls, and adjustment methods

              As with other fields, medical sciences are subject to different sources of bias. While understanding sources of bias is a key element for drawing valid conclusions, bias in health research continues to be a very sensitive issue that can affect the focus and outcome of investigations. Information bias, otherwise known as misclassification, is one of the most common sources of bias that affects the validity of health research. It originates from the approach that is utilized to obtain or confirm study measurements. This paper seeks to raise awareness of information bias in observational and experimental research study designs as well as to enrich discussions concerning bias problems. Specifying the types of bias can be essential to limit its effects and, the use of adjustment methods might serve to improve clinical evaluation and health care practice.
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                Author and article information

                Contributors
                pradeep_paul_g_gunapal@nhg.com.sg
                Journal
                J Nutr Health Aging
                J Nutr Health Aging
                The Journal of Nutrition, Health & Aging
                Springer Paris (Paris )
                1279-7707
                1760-4788
                17 March 2021
                : 1-9
                Affiliations
                [1 ]GRID grid.466910.c, ISNI 0000 0004 0451 6215, Health Services and Outcomes Research, , National Healthcare Group, ; Singapore, Singapore
                [2 ]GRID grid.59025.3b, ISNI 0000 0001 2224 0361, Adjunct Senior Lecturer Lee Kong Chian School of Medicine, , Nanyang Technological University, ; Singapore, Singapore
                [3 ]Geriatric Education and Research Institute, Singapore, Singapore
                [4 ]GRID grid.240988.f, Department of Geriatric Medicine, , Institute of Geriatrics and Active Ageing, Tan Tock Seng Hospital, ; Singapore, Singapore
                Article
                1622
                10.1007/s12603-021-1622-6
                7966899
                34179933
                a8384152-8a4d-4235-8ba4-41c302c5b0ab
                © Serdi and Springer-Verlag International SAS, part of Springer Nature 2021

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 18 January 2021
                : 9 February 2021
                Categories
                Reviews

                healthy aging,successful aging,elderly
                healthy aging, successful aging, elderly

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