Dataset Information

Frailty Phenotype Prevalence in Community-Dwelling Older Adults According to Physical Activity Assessment Method.

ABSTRACT: Introduction:Studies have described varying prevalences of frailty as determined by Fried's frailty phenotype. Comparability may be limited due to frailty phenotype modifications, especially the low physical activity criterion. Purpose:This study aimed to determine the variability of frailty phenotype prevalence according to the physical activity assessment method. Patients and Methods:In a cross-sectional analysis, frailty phenotype prevalence was assessed in community-dwelling older adults. The low physical activity criterion of the frailty phenotype was determined by using five different questionnaires and an accelerometer, and three different cut-point models. Results:In 47 participants, frailty phenotype prevalence varied between 14.9% and 31.9%, depending on the model used to assess physical activity. Conclusion:The method of physical activity assessment and the choice of cut-points for low physical activity considerably impact frailty phenotype prevalence. More efforts to standardize and adhere to the low physical activity criterion seem warranted. The calculation of correction factors between commonly used sets of low physical activity criteria might allow better comparisons of published prevalence rates.

SUBMITTER: Ziller C

PROVIDER: S-EPMC7069579 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Frailty Phenotype Prevalence in Community-Dwelling Older Adults According to Physical Activity Assessment Method.

Ziller Carina C Braun Tobias T Thiel Christian C

Clinical interventions in aging 20200309

<h4>Introduction</h4>Studies have described varying prevalences of frailty as determined by Fried's frailty phenotype. Comparability may be limited due to frailty phenotype modifications, especially the low physical activity criterion.<h4>Purpose</h4>This study aimed to determine the variability of frailty phenotype prevalence according to the physical activity assessment method.<h4>Patients and methods</h4>In a cross-sectional analysis, frailty phenotype prevalence was assessed in community-dwe ...[more]

PMID: 32210545

Similar Datasets

Project description:Background:Demographic aging results in increased incidence of old-age disability. Frailty is a major factor contributing to old-age disability. The aim of this study was to investigate the prevalence of the frailty phenotype as defined by Fried et al and to estimate the need for associated preventative interventions in early-old community-dwelling inhabitants of the southern industrial region of Poland, as well as to investigate the defining components of the frailty phenotype. Methods:The study group consisted of 160 individuals with an average age of 66.8 ± 4.2 years ( ± SD), 71 (44.4%) of study participants were women. The cohort was randomized out of over 843 thousand community-dwelling Upper Silesian inhabitants aged 60-74 years, who agreed to participate in this project. A comprehensive geriatric assessment (CGA), frailty phenotype test (as described by Fried et al) blood tests and bioimpedance body structure analysis was completed for study participants. Functional assessment included Barthel Index of Activities of Daily Living (Barthel Index), Instrumental Activities of Daily Living Scale (IADL), Mini-Mental State Examination (MMSE), the Timed Up and Go (TUG) test, Tinetti Performance-Oriented Mobility Assessment (POMA), and Geriatric Depression Scale - Short Form (GDS-SF). Results:Prefrailty was diagnosed in 24.4% of the subjects (95% Confidence Interval (CI) = 17.7-31.0%; 31% in women and 19.1% in men, P=0.082) and frailty in 2.5% subjects (95% CI 0.1-4.9%; more frequently in women: 4.2% versus 1.1% in men, P=0.046). Having one or more positive frailty criteria was positively associated with depression (odds ratio (OR)=2.85, 95% CI=1.08-7.54, P=0.035) and negatively associated with MMSE score (OR=0.72, 95% CI=0.56-0.93, P=0.012) and fat-free mass (OR=0.96, 95% CI=0.92-0.99, P=0.016) in multivariate logistic regression analysis adjusted for age, sex, disease prevalence, number of medications, functional tests (Barthel Index, IADL, MMSE, GDS-SF), BMI, bioimpedance body composition score, and blood tests. Conclusion:At least 25% of the early-old community-dwelling population would benefit from a frailty prevention program. The frailty phenotype reflects both physical and mental health in this population.

Project description:So far, it has not yet been studied whether socioeconomic status is associated with distinct frailty components and for which frailty component this association is the strongest. We aimed to examine the association between socioeconomic status and frailty and frailty components. In addition we assessed the mediating effect of the number of morbidities on the association between socioeconomic status and other frailty components.This is a cross-sectional study of pooled data of The Older Persons and Informal Caregivers Survey Minimum DataSet in the Netherlands among community-dwelling persons aged 55 years and older (n = 26,014). Frailty was measured with a validated Frailty Index that consisted of 45 items. The Frailty Index contained six components: morbidities, limitations in activities of daily living (ADL), limitations in instrumental ADL (IADL), health-related quality of life, psychosocial health and self-rated health. Socioeconomic indicators used were education level and neighbourhood socioeconomic status.Persons with primary or secondary education had higher overall frailty and frailty component scores compared to persons with tertiary education (P < .001). Lower education levels were most consistently associated with higher overall frailty, more morbidities and worse self-rated health (P < .05 in all age groups). The strongest association was found between primary education and low psychosocial health for persons aged 55-69 years and more IADL limitations for persons aged 80+ years. Associations between neighborhood socioeconomic status and frailty (components) also showed inequalities, although less strong. The number of morbidities moderately to strongly mediated the association between socioeconomic indicators and other frailty components.There are socioeconomic inequalities in frailty and frailty components. Inequalities in frailty, number of morbidities and self-rated health are most consistent across age groups. The number of morbidities a person has play an important role in explaining socioeconomic inequalities in frailty and should be taken into account in the management of frailty.

Dataset Information

Frailty Phenotype Prevalence in Community-Dwelling Older Adults According to Physical Activity Assessment Method.

Publications

Frailty Phenotype Prevalence in Community-Dwelling Older Adults According to Physical Activity Assessment Method.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets