ASSOCIATION BETWEEN BERG BALANCE, PHYSIOLOGICAL PROFILE ASSESSMENT AND PHYSICAL ACTIVITY, PHYSICAL FUNCTION AND BODY COMPOSITION: A CROSS-SECTIONAL STUDY

2015 ◽  
pp. 1-7
Author(s):  
D.J. SMEE ◽  
H.L. BERRY ◽  
G. WADDINGTON ◽  
J. ANSON
Keyword(s):  
Body Composition ◽  
Physical Function ◽  
Risk Measures ◽  
Berg Balance Scale ◽  
Cross Sectional ◽  
Physiological Profile ◽  
Falls Risk ◽  
Balance Scale ◽  
The Relationship ◽  
Physiological Profile Assessment

Background: Falls are of great concern to older adults and costly to the health system. In addition the relationship between falls risk and falls risk predictor characteristics is complex. Objective: This study aimed to explore the relationship between two objective fall-risk measures tools, the Physiological Profile Assessment and the Berg Balance Scale and to determine how an individual’s sex, level of physical function, health-related and body composition characteristics impact these objective falls risk measures. Design: A cross-sectional, observational study. Participants: 245 community-dwelling older adults (M age=68.12 years, SD=6.21; 69.8% female). Measurements: Participants were assessed for falls-risk (Physiological Profile Assessment and the Berg Balance Scale), physical activity, physical functional and body composition characteristics. Pearson product-moment correlation coefficients were calculated to examine bivariate relationships and hierarchical multiple linear regression modelling was used to estimate the contribution of each predictor in explaining variance in falls-risk. Results: In females, there was a weak association between the two objective falls-risk measures (r =-0.17 p <0.05). The number of falls in the previous 12 months explained 6% of variance in Physiological Profile Assessment scores, with bone density of the lumbar spine contributing a further 1%. In males and females, variance in the Berg Balance Scale showed that age (25%) and physical function (16% for females, 28% for males) contributed significantly to the explaining variance in the falls-risk measure. Conclusion: Sex differences are apparent and as such males and females should be assessed (and potentially treated) differently with regards to falls risk. Results indicate that both falls risk assessment tools measure aspects of balance but are not interchangeable. The Berg Balance Scale may be more discriminative in older, less functioning adults and the Physiological Profile Assessment is more useful in assessing falls risk in females.

scholarly journals ASSOCIATION BETWEEN BODY COMPOSITION, SOMATOTYPE AND SOCIOECONOMIC STATUS IN CHILEAN CHILDREN AND ADOLESCENTS AT DIFFERENT SCHOOL LEVELS

2017 ◽  
Vol 50 (1) ◽  
pp. 53-69 ◽  
Author(s):  
Pablo A. Lizana ◽  
Sofia González ◽  
Lydia Lera ◽  
Bárbara Leyton
Keyword(s):  
Socioeconomic Status ◽  
Body Composition ◽  
Children And Adolescents ◽  
Cross Sectional Study ◽  
School Level ◽  
Low Ses ◽  
Cross Sectional ◽  
Percentage Body Fat ◽  
Level 1 ◽  
The Relationship

SummaryThis study examined the association between body composition, somatotype and socioeconomic status (SES) in Chilean children and adolescents by sex and school level (grade). The cross-sectional study was conducted on 1168 schoolchildren aged 6–18 years (572 males) from Valparaíso, Chile. Body composition, as assessed by percentage body fat (BF%) and somatotype, was evaluated using Ellis equations and the Heath–Carter method, respectively. The socioeconomic status of respondents was assessed using the ESOMAR survey. Obesity was defined as BF% ≥25 for boys and ≥30 for girls; ‘high endomorph’ somatotype was defined as a somatotype endomorph component (EC) of at least 5.5. Logistic regression analysis was used to assess the relationship between high adiposity and SES, potential confounding factors and school level. In females, the results indicated that the groups with lower SES had higher EC. At the 1st(youngest) school level (1–4thgrades), males exhibited similar trends in their BF% and EC. High adiposity was associated with the female sex (BF%: OR=3.39; 95% CI 2.60, 4.41; high EC: OR=2.31; 95% CI 1.80, 2.98). In addition, low SES increased the risk of high adiposity compared with high SES (BF%: OR=2.25; 95% CI 1.40, 3.61; high EC: OR=2.19; 95% CI 1.37, 3.47). An association was observed between increased adiposity and lower SES, mainly in females, which indicates that females with low SES might be at greater risk of obesity.

scholarly journals The functional assessment Berg Balance Scale is better capable of estimating fall risk in the elderly than the posturographic Balance Stability System

2013 ◽  
Vol 71 (1) ◽  
pp. 5-10 ◽  
Author(s):  
Vanessa Vieira Pereira ◽  
Roberto Alcantara Maia ◽  
Sonia Maria Cesar de Azevedo Silva
Keyword(s):  
Functional Assessment ◽  
Fall Risk ◽  
The Elderly ◽  
Berg Balance Scale ◽  
Old People ◽  
Falls Risk ◽  
Functional Balance ◽  
Balance Scale ◽  
Recurrent Falls ◽  
Balance Stability

The purpose of this study was to verify which instrument better identifies recurrent falls in the elderly. Ninety-eight old people, with an average age of 80±4 years, were submitted to an assessment of balance and fall risk by means of the Berg Balance Scale (BBS) and the posturographic Balance Stability System (BSS). The BBS was correlated with the BSS (r=-0.27; p=0.008), age (r=-0.38; p<0.001) and number of falls (r=-0.25; p=0.013) and the analysis of logistical regression showed that the elderly classified with fall risk on the BBS presented 2.5 (95%CI 1.08-5.78) more chance of identifying who had two falls or more over the last year. The BBS identified that the greater the age the worse the functional balance and demonstrated a greater capacity to identify falls risk suffered over the last year when compared with the BSS.

scholarly journals The relationship between energy expenditure and physical functions in patients hospitalised for stroke

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kota Hobo ◽  
Hideaki Kurita ◽  
Kimito Momose
Keyword(s):  
Energy Expenditure ◽  
Physical Function ◽  
Walking Speed ◽  
Functional Independence Measure ◽  
Functional Independence ◽  
Berg Balance Scale ◽  
Acceleration Sensor ◽  
Physical Ability ◽  
Physical Functions ◽  
The Relationship

AbstractWe assessed the relationship between energy expenditure (EE) and Functional Independence Measure motor items (FIM-M) score, Berg Balance Scale (BBS) score, and comfortable walking speed (CWS) in patients hospitalised for stroke. The total EE per day (TEE), EE during rehabilitation (REE), and EE during activities other than rehabilitation (OEE) were measured using a single-axis acceleration sensor in 36 patients hospitalised for the first stroke episode. In addition, the relationships between each type of EE and FIM-M, BBS, and CWS were investigated. In these patients (mean age 66.2 ± 10.6 years), the median values of TEE, REE, and OEE were 41.8 kcal, 18.5 kcal, and 16.6 kcal, respectively. Correlations were observed between each EE type and all physical function indices. Following the stratification of patients into two groups (high and low) based on the level of physical function, a significant correlation between EE type and physical function was observed only in the low BBS group. EE was correlated with overall physical function indices, but the trend differed depending on physical ability. When patients were stratified based on ability, there were several groups with no significant correlation. Therefore, several patients were unable to achieve an appropriate EE for their level of physical function.

scholarly journals The Relationship Between Energy Expenditure and Physical Functions in Patients Hospitalised For Stroke

2021 ◽  
Author(s):  
Kota Hobo ◽  
Hideaki Kurita ◽  
Kimito Momose
Keyword(s):  
Energy Expenditure ◽  
Physical Function ◽  
Walking Speed ◽  
Functional Independence Measure ◽  
Functional Independence ◽  
Berg Balance Scale ◽  
Acceleration Sensor ◽  
Physical Ability ◽  
Physical Functions ◽  
The Relationship

Abstract We assessed the relationship between energy expenditure (EE) and functional independence measure (FIM-M) score, Berg Balance Scale (BBS), and comfortable walking speed (CWS) in patients hospitalised for stroke. The total EE per day (TEE), EE during rehabilitation (REE), and EE during activities other than rehabilitation (OEE) were measured using a single-axis acceleration sensor in 36 patients hospitalised for a first stroke episode. In addition, the relationships between each type of EE and FIM-M, BBS, and CWS were investigated. In these patients (mean age 66.2±10.6 years), the median values of TEE, REE, and OEE were 41.8 kcal, 18.5 kcal, and 16.6 kcal, respectively. Correlations were observed between each EE type and all physical function indices. Following the stratification of patients into two groups (high and low) based on the level of physical function, a significant correlation between EE type and physical function was observed only in the low BBS group. EE was correlated with overall physical function indices, but the trend differed depending on physical ability. When patients were stratified based on ability, there were several groups with no significant correlation. Therefore, many patients were unable to achieve an appropriate EE for their level of physical function.

scholarly journals The Relationship between ECOG-PS, mGPS, BMI/WL Grade and Body Composition and Physical Function in Patients with Advanced Cancer

Cancers ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1187
Author(s):  
Ross D. Dolan ◽  
Louise E. Daly ◽  
Claribel Pl. Simmons ◽  
Aoife M. Ryan ◽  
Wei Mj. Sim ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Logistic Regression ◽  
Physical Function ◽  
Advanced Cancer ◽  
Binary Logistic Regression ◽  
Muscle Density ◽  
Ecog Ps ◽  
The Relationship ◽  
Test Failure

Cancer remains one of the leading causes of mortality worldwide and the associated reduction in physical function has a marked impact on both quality of life and survival. The aim of the present study was to examine the relationship between Eastern Cooperative Oncology Group-Performance status (ECOG-PS), modified Glasgow Prognostic Score (mGPS), Body Mass Index/Weight Loss grade (BMI/WL grade), and Computerised Tomography (CT)-derived body composition measurement and physical function in patients with advanced cancer. Nine sites contributed prospective data on patient demographics, ECOG-PS, mGPS, physical function tests, and CT-derived body composition. Categorical variables were analysed using χ2 test for linear-by-linear association, or χ2 test for 2-by-2 tables. Associations were analysed using binary logistic regression. A total of 523 cancer patients (266 males, 257 females) were included in the final analysis and most had metastatic disease (83.2%). The median overall survival was 5.6 months. On multivariate binary logistic regression analysis, a high ECOG-PS remained independently associated with a low skeletal muscle index (p < 0.001), low skeletal muscle density (p < 0.05), and timed up and go test failure (p < 0.001). A high mGPS remained independently associated with a low skeletal muscle density (p < 0.05) and hand grip strength test failure (p < 0.01). A high BMI/WL grade remained independently associated with a low subcutaneous fat index (p < 0.05), low visceral obesity (p < 0.01), and low skeletal muscle density (p < 0.05). In conclusion, a high ECOG-PS and a high mGPS as outlined in the ECOG-PS/mGPS framework were consistently associated with poorer body composition and physical function in patients with advanced cancer.

Sign in / Sign up

Export Citation Format

Share Document