A group education program reduced falls among community-dwelling older people at risk of falling

2006 ◽  
Vol 53 (3) ◽  
pp. 238-239
Author(s):  
Annie McCluskey ◽  
Susan Brandis
2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 80-80
Author(s):  
Siew Ling Tey ◽  
Samuel Teong Huang Chew ◽  
Yatin Berde ◽  
Geraldine Baggs ◽  
Choon How How ◽  
...  

Abstract Objectives Malnutrition contributes to loss of muscle mass. There is limited information on the prevalence of low muscle mass in community-dwelling older people who are (not) at risk of malnutrition. Factors associated with muscle mass are also not well characterized. This cross-sectional study aimed to determine the prevalence of low appendicular skeletal muscle mass index (ASMI; ASM/height2) in older people with normal nutritional status (Malnutrition Universal Screening Tool, MUST risk category = low) and those at risk of malnutrition (MUST risk category = medium or high), and to determine factors associated with ASMI. Methods Strengthening Health In ELDerly through nutrition (SHIELD) is a study involving 1211 (400 with normal nutritional status and 811 at risk of malnutrition) community-dwelling older people aged ≥65 years in Singapore. Low ASMI was determined by bioelectrical impedance analysis (Asian Working Group for Sarcopenia, 2014). Results One in five (20.6%) nourished participants had low ASMI vs. four in five (81.3%) participants at risk of malnutrition had low ASMI (P < 0.0001). Older people with low ASMI were more likely to be admitted to the hospital, had longer length of stay, 25-hydroxyvitamin D deficiency, and lower education level, compared to those with normal ASMI (all P ≤ 0.0472). In the multiple linear regression model, age (coefficient, b = −0.013 kg/m2; P < 0.001), gender (female: b = −0.963 kg/m2; P < 0.001), calf circumference (b = 0.042 kg/m2; P < 0.001), bone mass (b = 0.593 kg/m2; P < 0.001), BMI (b = 0.129 kg/m2; P < 0.001), and Physical Activity Scale for the Elderly (PASE) score (b = 0.001 kg/m2; P = 0.048) were associated with ASMI. Conclusions Community-dwelling older people at risk of malnutrition had four-fold greater risk of having low ASMI as compared to nourished counterparts. Increasing age was associated with lower ASMI, whereas calf circumference, bone mass, BMI, PASE score, and being male were positively associated with ASMI. These findings highlight the importance of screening for low muscle mass and maintaining muscle health as part of the overall malnutrition management in this population group. Funding Sources The Economic Development Board of Singapore, Abbott Nutrition, and Changi General Hospital funded this study.


2009 ◽  
Vol 21 (5) ◽  
pp. 713-729 ◽  
Author(s):  
Eleni Th. Petridou ◽  
Eirini G. Manti ◽  
Athanasios G. Ntinapogias ◽  
Eva Negri ◽  
Katarzyna Szczerbińska

2020 ◽  
pp. 1-7
Author(s):  
B. Everaars ◽  
K. Jerković – Ćosić ◽  
N. Bleijenberg ◽  
N.J. de Wit ◽  
G.J.M.G. van der Heijden

Background: In frail older people with natural teeth factors like polypharmacy, reduced salivary flow, a decrease of oral self-care, general healthcare issues, and a decrease in dental care utilization contribute to an increased risk for oral complications. On the other hand, oral morbidity may have a negative impact on frailty. Objective: This study explored associations between oral health and two frailty measures in community-dwelling older people. Design: A cross-sectional study. Setting: The study was carried out in a Primary Healthcare Center (PHC) in The Netherlands. Participants: Of the 5,816 persons registered in the PHC, 1,814 persons were eligible for participation at the start of the study. Measurements: Two frailty measures were used: 1. Being at risk for frailty, using Electronical Medical Record (EMR) data, and: 2. Survey-based frailty using ‘The Groningen Frailty Indicator’ (GFI). For oral health measures, dental-record data (dental care utilization, dental status, and oral health information) and self-reported oral problems were recorded. Univariate regression analyses were applied to determine the association between oral health and frailty, followed by age- and sex-adjusted multivariate logistic regressions. Results: In total 1,202 community-dwelling older people were included in the study, 45% were male and the mean age was 73 years (SD=8). Of all participants, 53% was at risk for frailty (638/1,202), and 19% was frail based on the GFI (222/1,202). A dental emergency visit (Odds Ratio (OR)= 2.0, 95% Confidence Interval (CI)=1.33;3.02 and OR=1.58, 95% CI=1.00;2.49), experiencing oral problems (OR=2.07, 95% CI=1.52;2.81 and OR=2.87, 95% CI= 2.07;3.99), and making dietary adaptations (OR=2.66, 95% CI=1.31;5.41 and OR=5.49, 95% CI= 3.01;10.01) were associated with being at risk for frailty and survey-based frailty respectively. Conclusions: A dental emergency visit and self-reported oral health problems are associated with frailty irrespective of the approach to its measurement. Healthcare professionals should be aware of the associations of oral health and frailty in daily practice.


2008 ◽  
Vol 14 ◽  
pp. S52
Author(s):  
E. Nordin ◽  
R. Moe-Nilssen ◽  
A. Ramnemark ◽  
L. Lundin-Olsson

2020 ◽  
Vol 49 (Supplement_1) ◽  
pp. i28-i29
Author(s):  
J Gibbon ◽  
H Trundle ◽  
D Green ◽  
V Strassheim ◽  
M Linsley ◽  
...  

Abstract Background Falls are common in community dwelling older people, and gait and balance abnormalities (GABAb) are a key modifiable risk factor, through strength and balance training. In addition, there is a strong relationship between fear of falling (FoF) and GABAb , though Falls Efficacy Scale-International version (FES-I) scores have never been examined in this context. Our aim was to determine whether FoF, as measured by the FES-I, is associated with GABAb, as determined by commonly used gait and balance tests. Methods Consecutive patients attending our community falls prevention service completed FES-I questionnaires, and had Gait Speed (GS), Five Times Sit to Stand (FTSTS) and Timed Up and Go (TUG) tests assessed as part of a multifactorial falls prevention assessment. Cut-offs for falls risk are provided in the table. Sensitivity and specificity values for a 16-item FES-I cut-off score of 23.5 (>23 signifying significant FoF) were evaluated using the area under a receiver operating characteristic curve (AUROC), along with positive and negative likelihood ratios (LR+/LR-). Results There were 991 participants, 352 male, 639 female, mean age 74.5 years, mean FES-I score 28.7 and 57.0% had experienced at least one fall in the previous year. Gait and balance test scores were moderately associated with FoF per FES-I ≥23.5 as shown in the table. Specificities and sensitivities for all three are similar to commonly used diagnostic tests such as exercise testing versus coronary angiography for coronary artery disease. Conclusions FoF as measured by the FES-I is associated with scores on commonly used gait and balance tests that indicate a high risk of falling. This study highlights the potential of using FES-I as a screening tool to identify community dwelling older adults at risk of falling who may benefit from strength and balance training rather than relying on physical tests that are rarely performed outside falls clinics and physiotherapy departments. This application may have utility both in opportunistic individual screening and community screening programmes.


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