Literature DB >> 28679540

Assessing the measurement properties of a Frailty Index across the age spectrum in the Canadian Longitudinal Study on Aging.

David M Kanters1, Lauren E Griffith1,2,3, David B Hogan4, Julie Richardson5, Christopher Patterson6, Parminder Raina1,2,3.   

Abstract

BACKGROUND: Frailty is a way to appreciate the variable vulnerability to declining health status of people as they age. No consensus for measuring frailty has been established. This study aimed to adapt a Frailty Index (FI) to the Canadian Longitudinal Study on Aging (CLSA) and evaluate its applicability in both younger and older adults.
METHODS: An FI was created based on 90 potential health deficits collected from adults aged 45-85 years at recruitment (N=21 241, 49.0% male). The construct validity of this instrument and the factor structure of the health deficits were evaluated.
RESULTS: The direction of associations between the FI and other variables were consistent with a priori hypotheses for construct validity. FI values were significantly associated with age (r=0.17; p<0.001), falls (r=0.12; p<0.001), injuries (r=0.12; p<0.001), formal home care (r =0.30; p<0.001), informal home care (r=0.32; p<0.001) and use of assistive devices (r=0.40; p<0.001). Values were negatively associated with male sex (r=-0.12; p<0.001), income (r=-0.34; p<0.001) and education (r=-0.17; p<0.001). Key factors among the health indicators were physical functioning, satisfaction with life and depressive symptoms. Results did not change when the sample was stratified by age and sex.
CONCLUSION: The FI is a feasible method to evaluate frailty and capture frailty-related heterogeneity in populations aged 45-85 years. In this study, the FI had good construct validity in middle-aged and older adults, showing expected correlations with sociodemographic factors consistently across age groups. This method can be easily reproduced in similar datasets, making the FI a generalisable instrument. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  Ageing; CLSA; Epidemiology of ageing; Measurement tool development

Mesh:

Year:  2017        PMID: 28679540     DOI: 10.1136/jech-2016-208853

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  10 in total

1.  Comparing Biological Age Estimates Using Domain-Specific Measures From the Canadian Longitudinal Study on Aging.

Authors:  Chris P Verschoor; Daniel W Belsky; Jinhui Ma; Alan A Cohen; Lauren E Griffith; Parminder Raina
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-01-18       Impact factor: 6.053

2.  Age-appropriate BMI cut-points for cardiometabolic health risk: a cross-sectional analysis of the Canadian Longitudinal Study on Aging.

Authors:  Ayesha A Javed; Jinhui Ma; Laura N Anderson; Alexandra J Mayhew; Hon Yiu So; Lauren E Griffith; Anne Gilsing; Parminder Raina
Journal:  Int J Obes (Lond)       Date:  2022-01-29       Impact factor: 5.095

Review 3.  Out-of-pocket expenses related to aging in place for frail older people: a scoping review.

Authors:  Elaine Moody; Rebecca Ganann; Ruth Martin-Misener; Jenny Ploeg; Marilyn Macdonald; Lori E Weeks; Elizabeth Orr; Shelley McKibbon; Keisha Jefferies
Journal:  JBI Evid Synth       Date:  2022-02

4.  Epigenetic age is associated with baseline and 3-year change in frailty in the Canadian Longitudinal Study on Aging.

Authors:  Chris P Verschoor; David T S Lin; Michael S Kobor; Oxana Mian; Jinhui Ma; Guillaume Pare; Gustavo Ybazeta
Journal:  Clin Epigenetics       Date:  2021-08-23       Impact factor: 6.551

5.  A cross-sectional study examining convergent validity of a frailty index based on electronic medical records in a Canadian primary care program.

Authors:  Marjan Abbasi; Sheny Khera; Julia Dabravolskaj; Ben Vandermeer; Olga Theou; Darryl Rolfson; Andrew Clegg
Journal:  BMC Geriatr       Date:  2019-04-16       Impact factor: 3.921

6.  Relationships between orthostatic hypotension, frailty, falling and mortality in elderly care home residents.

Authors:  Brett H Shaw; Dave Borrel; Kimiya Sabbaghan; Colton Kum; Yijian Yang; Stephen N Robinovitch; Victoria E Claydon
Journal:  BMC Geriatr       Date:  2019-03-13       Impact factor: 3.921

7.  Associations with rates of falls among home care clients in Ontario, Canada: a population-based, cross-sectional study.

Authors:  Derek R Manis; Caitlin McArthur; Andrew P Costa
Journal:  BMC Geriatr       Date:  2020-02-27       Impact factor: 3.921

Review 8.  ICF Linking and Cognitive Interviewing Are Complementary Methods for Optimizing Content Validity of Outcome Measures: An Integrated Methods Review.

Authors:  Joy C MacDermid
Journal:  Front Rehabil Sci       Date:  2021-10-14

9.  Frailty differences across population characteristics associated with health inequality: a cross-sectional analysis of baseline data from the Canadian Longitudinal Study on Aging (CLSA).

Authors:  Lauren E Griffith; Parminder Raina; David Kanters; David Hogan; Christopher Patterson; Alexandra Papaioannou; Julie Richardson; Anne Gilsing; Mary Thompson; Edwin van den Heuvel
Journal:  BMJ Open       Date:  2021-07-19       Impact factor: 2.692

10.  Early-Life Socioeconomic Position and the Accumulation of Health-Related Deficits by Midlife in the 1958 British Birth Cohort Study.

Authors:  Nina T Rogers; Joanna M Blodgett; Samuel D Searle; Rachel Cooper; Daniel H J Davis; Snehal M Pinto Pereira
Journal:  Am J Epidemiol       Date:  2021-08-01       Impact factor: 4.897

  10 in total

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