20
views
0
recommends
+1 Recommend
0 collections
    1
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Do commonly used frailty models predict mortality, loss of autonomy and mental decline in older adults in northwestern Russia? A prospective cohort study

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Frailty prevalence differs across countries depending on the models used to assess it that are based on various conceptual and operational definitions. This study aims to assess the clinical validity of three frailty models among community-dwelling older adults in north-western Russia where there is a higher incidence of cardiovascular disease and lower life expectancy than in European countries.

          Methods

          The Crystal study is a population-based prospective cohort study in Kolpino, St. Petersburg, Russia. A random sample of the population living in the district was stratified into two age groups: 65–75 ( n = 305) and 75+ ( n = 306) and had a baseline comprehensive health assessment followed by a second one after 33.4 +/−3 months. The total observation time was 47 +/−14.6 months. Frailty was assessed according to the models of Fried, Puts and Steverink-Slaets. Its association with mortality at 5 years follow-up as well as dependency, mental and physical decline at around 2.5 years follow up was explored by multivariable and time-to-event analyses.

          Results

          Mortality was predicted independently from age, sex and comorbidities only by the frail status of the Fried model in those over 75 years old [HR (95 % CI) = 2.50 (1.20–5.20)]. Mental decline was independently predicted only by pre-frail [OR (95 % CI) = 0.24 (0.10–0.55)] and frail [OR (95 % CI) = 0.196 (0.06–0.67)] status of Fried model in those 65–75 years old. The prediction of dependency and physical decline by pre-frail and frail status of any the three frailty models was not statistically significant in this cohort of older adults.

          Conclusions

          None of the three frailty models was valid at predicting 5 years mortality and disability, mental and physical decline at 2.5 years in a cohort of older adults in north-west Russia. Frailty by the Fried model had only limited value for mortality in those 75 years old and mental decline in those 65–75 years old. Further research is needed to identify valid frailty markers for older adults in this population.

          Related collections

          Most cited references29

          • Record: found
          • Abstract: found
          • Article: not found

          The Tilburg Frailty Indicator: psychometric properties.

          To assess the reliability, construct validity, and predictive (concurrent) validity of the Tilburg Frailty Indicator (TFI), a self-report questionnaire for measuring frailty in older persons. Cross-sectional. Community-based. Two representative samples of community-dwelling persons aged 75 years and older (n = 245; n = 234). The TFI was validated using the LASA Physical Activity Questionnaire, BMI, Timed Up & Go test, Four test balance scale, Grip strength test, Shortened Fatigue Questionnaire, Mini-Mental State Examination, Center for Epidemiologic Studies Depression Scale, Anxiety subscale of the Hospital Anxiety and Depression Scale, Mastery Scale, Loneliness Scale, and the Social Support List. Adverse outcomes were measured using the Groningen Activity Restriction Scale and questions regarding health care use. Quality of life was measured using the WHOQOL-BREF. The test-retest reliability of the TFI was good: 0.79 for frailty, and from 0.67 to 0.78 for its domains for a 1-year time interval. The 15 single components, and the frailty domains (physical, psychological, social) of the TFI correlated as expected with validated measures, demonstrating both convergent and divergent construct validity of the TFI. The predictive validity of the TFI and its physical domain was good for quality of life and the adverse outcomes disability and receiving personal care, nursing, and informal care. This study demonstrates that the psychometric properties of the TFI are good, when performed in 2 samples of community-dwelling older people. The results regarding the TFI's validity provide strong evidence for an integral definition of frailty consisting of physical, psychological, and social domains. Copyright 2010 American Medical Directors Association. Published by Elsevier Inc. All rights reserved.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The frailty phenotype and the frailty index: different instruments for different purposes.

            The integration of frailty measures in clinical practice is crucial for the development of interventions against disabling conditions in older persons. The frailty phenotype (proposed and validated by Fried and colleagues in the Cardiovascular Health Study) and the Frailty Index (proposed and validated by Rockwood and colleagues in the Canadian Study of Health and Aging) represent the most known operational definitions of frailty in older persons. Unfortunately, they are often wrongly considered as alternatives and/or substitutables. These two instruments are indeed very different and should rather be considered as complementary. In the present paper, we discuss about the designs and rationals of the two instruments, proposing the correct ways for having them implemented in the clinical setting.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              The Dynamic Relationship Between Physical Function and Cognition in Longitudinal Aging Cohorts

              On average, older people remember less and walk more slowly than do younger persons. Some researchers argue that this is due in part to a common biologic process underlying age-related declines in both physical and cognitive functioning. Only recently have longitudinal data become available for analyzing this claim. We conducted a systematic review of English-language research published between 2000 and 2011 to evaluate the relations between rates of change in physical and cognitive functioning in older cohorts. Physical functioning was assessed using objective measures: walking speed, grip strength, chair rise time, flamingo stand time, and summary measures of physical functioning. Cognition was measured using mental state examinations, fluid cognition, and diagnosis of impairment. Results depended on measurement type: Change in grip strength was more strongly correlated with mental state, while change in walking speed was more strongly correlated with change in fluid cognition. Examining physical and cognitive functioning can help clinicians and researchers to better identify individuals and groups that are aging differently and at different rates. In future research, investigators should consider the importance of identifying different patterns and rates of decline, examine relations between more diverse types of measures, and analyze the order in which age-related declines occur.
                Bookmark

                Author and article information

                Contributors
                +32 (2)764 3460 , jean-marie.degryse@uclouvain.be
                Journal
                BMC Geriatr
                BMC Geriatr
                BMC Geriatrics
                BioMed Central (London )
                1471-2318
                9 May 2016
                9 May 2016
                2016
                : 16
                : 98
                Affiliations
                [ ]Institut de Recherche Santé et Société, Université Catholique de Louvain, Clos Chapelle-aux-Champs, 30 bte 30.05, 1200 Woluwe-Saint-Lambert, Brussels Belgium
                [ ]The North-Western State Medical University named after I.I. Mechnikov, St. Petersburg, Russia
                [ ]Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
                Article
                276
                10.1186/s12877-016-0276-4
                4862060
                27160275
                3ebb8387-705d-4e28-9097-b0ea29fcf00c
                © Turusheva et al. 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 22 November 2015
                : 5 May 2016
                Funding
                Funded by: President of the Russian Federation
                Award ID: 192-RP
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100007355, Fondation Louvain;
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2016

                Geriatric medicine
                frailty,mortality,dependency,disability,russia
                Geriatric medicine
                frailty, mortality, dependency, disability, russia

                Comments

                Comment on this article