Relationship between lower-limb muscle strength and functional independence among elderly people according to frailty criteria: a cross-sectional study

Batista, Fernanda Sotello; Gomes, Grace Angélica de Oliveira; D’Elboux, Maria José; Cintra, Fernanda Aparecida; Néri, Anita Liberalesso; Guariento, Maria Elena; Souza, Moisés Barbosa de

doi:10.1590/1516-3180.2014.1325669

Cited by 34 publications

(22 citation statements)

References 50 publications

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“…The statistically significant negative correlation between EI of the rectus femoris muscle and MS agrees with previously published data . These results lend credence to the observations of the researchers mentioned above, but to the knowledge of the authors, this is the first time that EI has been used to assess skeletal muscle in the clinical context of frailty …”

Section: Discussionsupporting

confidence: 91%

“…Moreover, unlike MS, EI is independent of sex, so the same limits are valid for both sexes. Although there are no other studies to support these findings, the fact that other variables such as MS, MT, and quality of life whose relationships with frailty have been established are significantly correlated with EI allows one to infer a correlation between EI and frailty.…”

Section: Discussionmentioning

confidence: 97%

See 1 more Smart Citation

Ultrasonic Echo Intensity as a New Noninvasive In Vivo Biomarker of Frailty

Mombiela

Castro

Moreno

et al. 2017

J American Geriatrics Society

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 97%

Ultrasonic Echo Intensity as a New Noninvasive In Vivo Biomarker of Frailty

Mombiela

Castro

Moreno

et al. 2017

J American Geriatrics Society

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“…The values found with better functional ability, for both lower and upper limbs, in the present study, differ from population studies undertaken with older adults in the community (26). The justification for our results may result from the effect of the healthy work, which is manifested mainly through greater independence and physical mobility.…”

Section: Discussioncontrasting

confidence: 94%

Functional capacity associated with work ability in older university staff employed by the state

Amorim

Trelha

2017

Fisioter. mov.

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Introduction: The increase in numbers of older adults in the workplace and in the number of years they spend in work prior to retiring has challenged health professionals to provide enable health conditions such that they may undertake occupational activity. Objective: To analyze the variables for functional ability, associated with work ability, in older adults who were government employees at a university. Methods: A cross-sectional design, with older workers aged 60 years old or over, located in different university centers and departments. A structured sociodemographic questionnaire was used to characterize the sample, and the Work Ability Index was used as an outcome variable for the associations, using the Timed Up and Go test, the handgrip strength test, the walking speed test and the chair sit to stand test. The Chi-squared test and Pearson correlation coefficient were used in the statistical analysis. The association of the factors of functional capacity was based on the odds ratio and 95% confidence interval, calculated using the Logistic Regression Model, as part of the SPSS statistical package for Windows. Results: A total of 258 staff participated in the investigation, with men (57.7%) and a lower age range (60 to 62 years old) predominating. Women differed in relation to falls after the age of 60 (p = 0.007) and in the last 12 months (p = 0.017). The mean Work Ability Index was 39.70 ± 5.64 points and a statistical association was ascertained between performance in the chair sit to stand test (OR = 2.26; p = 0.043). Muscle strength (r = 0.72; p < 0.000) and the chair sit to stand test (r = 0.73; p < 0.000) showed excellent correlation with work ability. Conclusion: The variables for functional capacity were associated with work ability.

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“…In line with this, previous studies by other authors have found that frailty status or severity to be associated with changes in the neural and musculoskeletal systems, amongst others, that are critically involved in postural control. 25,37,38,60,61 To the best of our knowledge, no other study, up until now, has provided evidence comparing postural sway parameters in relation to several different major measures of frailty, in parallel, in older individuals.…”

Section: Discussionmentioning

confidence: 99%

<p>Frail Older Individuals Maintaining a Steady Standing Position: Associations Between Sway Measurements with Frailty Status Across Four Different Frailty Instruments</p>

Schülein¹,

Sieber²,

Gaßmann³

et al. 2020

CIA

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Objective: An analysis of the relationships between static equilibrium parameters and frailty status and/or severity across four different frailty measures. Design: Cross-sectional analysis. Setting: Geriatric wards of a general hospital. Participants: One hundred twenty-three geriatric inpatients comprising 70 women (56.5%) and 53 men (42.7%) with an age range of 68-95 years. Methods: The variation in the center of pressure (CoP), ie, the length of sway, the area of sway, and the mean speed, was assessed for different positions/tasks: 1) wide standing with eyes open (WSEO); 2) wide standing with eyes closed (WSEC); 3) narrow standing with eyes open (NSEO) and 4) narrow standing with eyes closed (NSEC), using a force plate. Frailty status and/or frailty severity were evaluated using the frailty phenotype (FP), the clinical frailty scale (CFS), the 14-item frailty index based on a comprehensive geriatric assessment (FI-CGA), and a 47-item frailty index (FI). Results: WSEO length of sway (FP, CFS, FI-CGA, FI), WSEO area of sway (FP, CFS, FI-CGA, FI), and WSEO mean speed (FP, CFS, FI-CGA, FI), WSEC length of sway (FP, FI-CGA, FI), WSEC area of sway (FP, FI-CGA, FI) and WSEC mean speed (FI-CGA, FI), NSEO length of sway (FP, FI-CGA, FI), NSEO area of sway (FP, CFS, FI-CGA, FI), and NSEO mean speed (FP, CFS, FI-CGA, FI), NSEC length of sway (FI-CGA, FI), NSEC area of sway (FI-CGA, FI) and NSEC mean speed (FI-CGA, FI) were associated with the frailty status and/or severity across the four different frailty instruments (all p < 0.05, respectively). Conclusion: Greater fluctuations in CoP with increasing frailty status and/or severity were a uniform finding across various major frailty instruments.

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Relationship between lower-limb muscle strength and functional independence among elderly people according to frailty criteria: a cross-sectional study

Cited by 34 publications

References 50 publications

Ultrasonic Echo Intensity as a New Noninvasive In Vivo Biomarker of Frailty

Ultrasonic Echo Intensity as a New Noninvasive In Vivo Biomarker of Frailty

Functional capacity associated with work ability in older university staff employed by the state

<p>Frail Older Individuals Maintaining a Steady Standing Position: Associations Between Sway Measurements with Frailty Status Across Four Different Frailty Instruments</p>

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