Body Composition in the Elderly

1998 ◽  
pp. 9-14
Author(s):  
Giuliano Enzi ◽  
Mauro Bussolotto ◽  
Anna Ceccon ◽  
Paolo Benincà ◽  
Alessandra Coin ◽  
...  
Keyword(s):  
Body Composition ◽  
The Elderly

Effects of ICT-based Multi-Cognition Program on Body Composition and Cognitive Function in Elder Adults: A Randomized Controlled Clinical Study (Preprint)

2020 ◽  
Author(s):  
Du-Ri Kim ◽  
Seunghwan Song ◽  
Gwon-Min Kim ◽  
Jae Hyeok Chang ◽  
Young Jin Tak ◽  
...  
Keyword(s):  
Body Composition ◽  
Cognitive Function ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
The Elderly ◽  
Exercise Group ◽  
Disease Assessment ◽  
Randomized Controlled ◽  
Information And Communication ◽  
Elder Adults

BACKGROUND Although the elderly have more time and exercise opportunities compared to other age groups, they tend to be inactive and passive towards exercise, resulting in low actual exercise rates. Furthermore, simple repetitive exercise programs fail to engage the elderly to continuously exercise because these programs do not induce their interest or meet their expectations. Meanwhile, information and communication technology (ICT)-based training devices for elderly care related to dementia are being developed to enhance the cognitive functions of elder adults. For elder adults who require bicycle training devices can not only improve muscle strength and balance of lower limbs by continuously contracting and relaxing lower-limb muscles but also improve cognitive function to help prevent dementia. OBJECTIVE This study was conducted to investigate the effects of an information and communication technology (ICT)-based multi-cognition program on body composition and cognitive function in elder adults. METHODS In a randomized controlled intervention test on 20 people over the age of 60 (exercise group: n = 10; control: n = 10), the multi-cognition program was applied on the exercise group twice per week, once per day for 12 weeks, at 30 min per session, whereas the control group was advised to maintain their usual daily activities. RESULTS A comparison of changes in body composition and cognitive function before and after intervention exhibited statistically significant differences in skeletal muscle mass (P=.01) and modified Alzheimer’s disease assessment scale–cognitive score (P=.01) between the two groups. CONCLUSIONS It can be difficult to be engaged in a simple repetitive exercise program. Therefore, to meet the interest and expectations of elder adults, a customized ICT-based multi-cognition program, which can improve body composition and cognitive function in elder adults and is believed to be helpful in the prevention of dementia, is recommended. CLINICALTRIAL UMIN000042129

scholarly journals Low serum TSH levels are associated with low values of fat-free mass and body cell mass in the elderly

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Till Ittermann ◽  
Marcello R. P. Markus ◽  
Martin Bahls ◽  
Stephan B. Felix ◽  
Antje Steveling ◽  
...  
Keyword(s):  
Body Composition ◽  
Waist Circumference ◽  
Cell Mass ◽  
The Elderly ◽  
Fat Free Mass ◽  
Body Cell Mass ◽  
Body Cell ◽  
Independent Population ◽  
Serum Tsh ◽  
Tsh Levels

AbstractPrevious studies on the association between thyroid function and body composition are conflicting and showed strong differences across age groups. Our aim was to clarify age-specific associations of serum thyroid-stimulating hormone (TSH) levels with markers of body composition including body mass index (BMI), waist circumference, fat mass (FM), fat-free mass (FFM) and body cell mass (BCM). We used data from two independent population-based cohorts within the framework of the Study of Health in Pomerania. The study population included 5656 individuals aged 20 to 90 years. Markers of body composition were measured by bioelectrical impedance analysis. Serum TSH levels were significantly positively associated with BMI (β = 0.16; 95% confidence interval [CI]: 0.06 to 0.27), waist circumference (β = 0.35; 95% CI: 0.08 to 0.62) and FM (β = 0.32; 95% CI: 0.12 to 0.52), but not with FFM and BCM. Interaction analysis revealed positive associations of serum TSH levels with BMI, waist circumference, FM, FFM and BCM in individuals older than 60 years, while no such associations were observed in younger individuals. We demonstrated that lower serum TSH levels were accompanied with lower values of BMI, waist circumference, FM, FFM, and BCM in the elderly, while no such associations were observed in younger individuals.

scholarly journals Effects of Diet Intervention on Body Composition in the Elderly with Chronic Kidney Disease

2017 ◽  
Vol 14 (8) ◽  
pp. 735-740 ◽  
Author(s):  
Kai-Yin Hung ◽  
Terry Ting-Yu Chiou ◽  
Chien-Hsing Wu ◽  
Ying-Chun Liao ◽  
Chian-Ni Chen ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Body Composition ◽  
Kidney Disease ◽  
The Elderly ◽  
Diet Intervention

Measures of body composition and risk of heart failure in the elderly: The Rotterdam study

2010 ◽  
Vol 15 (5) ◽  
pp. 393-397 ◽  
Author(s):  
M. A. W. Van Lieshout ◽  
G. C. Verwoert ◽  
F. U. S. Mattace-Raso ◽  
M. C. Zillikens ◽  
E. J. Sijbrands ◽  
...  
Keyword(s):  
Heart Failure ◽  
Body Composition ◽  
The Elderly ◽  
Rotterdam Study

Body Composition in the Elderly Using Multicompartmental Methods

1993 ◽  
pp. 251-254
Author(s):  
Richard N. Baumgartner ◽  
Patricia M. Stauber ◽  
Daniel Mchugh ◽  
Sharon Wayne ◽  
Philip J. Garry ◽  
...  
Keyword(s):  
Body Composition ◽  
The Elderly

scholarly journals Sarcopenia, obesity, osteoporosis and old age

2021 ◽  
Vol 11 (4) ◽  
pp. 23-35
Author(s):  
S. V. Topolyanskaya
Keyword(s):  
Body Composition ◽  
The Elderly ◽  
Adverse Outcomes ◽  
Mineral Density ◽  
Term Care ◽  
Visceral Fat Accumulation ◽  
Age Related ◽  
Diagnostic Approaches

Modern concepts about body composition in the elderly are described in the review. Particular attention is paid to possible causes and pathogenetic aspects of sarcopenia, as well as modern diagnostic approaches to its recognition. The ageing process is inevitably combined with diverse changes in body composition. This age-related evolution can be described by three main processes: a decrease in the growth and mineral density of bone tissue (osteopenia and osteoporosis); progressive decrease in muscle mass; an increase in adipose tissue (sarcopenia and sarcopenic obesity) with its redistribution towards central and visceral fat accumulation. Sarcopenia and osteoporosis are considered the main geriatric syndromes. These pathological conditions contribute to a significant decrease in the quality of life in the elderly; create conditions for the loss of independence and require long-term care, increase the frequency of hospitalizations and ultimately result in adverse outcomes.

scholarly journals Relationship between Leg Strength and Balance and Lean Body Mass. Benefits for Active Aging

2020 ◽  
Vol 12 (6) ◽  
pp. 2380 ◽  
Author(s):  
Alfonso Castillo-Rodríguez ◽  
Wanesa Onetti-Onetti ◽  
Rui Sousa Mendes ◽  
José Luis Chinchilla-Minguet
Keyword(s):  
Body Composition ◽  
Lean Body Mass ◽  
Body Mass ◽  
Social Issues ◽  
Correlation Coefficients ◽  
The Elderly ◽  
The Body ◽  
Lower Limbs ◽  
Dominant Hand ◽  
Strength Capacity

Physical activity (PA) can bring incalculable benefits to people throughout the aging process. The objective of this study was to determine the relationships between the leg and arm strength, body composition and balance of elderly people. Twenty-one people (9 men and 12 women) over 60 years of age voluntarily participated in this study. Bioimpedance tests were carried out to obtain body mass data, manual dynamometer tests and the lower limbs test were conducted to obtain strength values, ​​and the stork balance stand test was conducted to assess static balance. As a result, medium-high correlation coefficients were obtained between the aforementioned dependent variables. The highest value corresponded to the relationship between the results of the dominant hand strength test (right hand in all participants) and the lean body mass (LBM) of the participant (R2 = 75%, p < 0.001). The results indicated that strength capacity, recorded by dynamometry, and balance ability have a direct relationship with the body composition of the subject, especially with their lean body mass. These data suggest that a greater lean body mass can provide greater strength and balance in the elderly, so it would improve or have greater duration the functionality and independence of the person, thereby justifying direct benefits in people and indirect benefits in public administrations that finance these social issues.

scholarly journals Prediction equations for the estimation of body composition in the elderly using anthropometric data

1994 ◽  
Vol 71 (6) ◽  
pp. 823-833 ◽  
Author(s):  
Marjolein Visser ◽  
Ellen Van Den Heuvel ◽  
Paul Deurenberg
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
The Elderly ◽  
The Body ◽  
Elderly Subjects ◽  
Body Density ◽  
Prediction Equations ◽  
Anthropometric Data ◽  
Percentage Body Fat ◽  
The Relationship

To study the relationship between health and nutritional status in elderly populations, information about body composition is essential. To collect this information in large epidemiological studies, practical methods based on anthropometric data must be available. In the present study the relationship between body composition, determined by densitometry, and anthropometric data in 204 elderly men and women, aged 60–87 years, was analysed. Existing prediction equations described in the literature, and mainly based on young and middle-aged subjects, generally underestimated percentage body fat in the elderly study population. Therefore, new prediction equations were developed, based on sex and the sum of two (biceps and triceps) or four (biceps, triceps, suprailiaca and subscapula) skinfolds or the body mass index (BMI). Addition of age or body circumferences to the models did not improve the prediction of body density. Internal cross validation and external validation revealed that the formulas are valid for the estimation of body density in elderly subjects. The standard errors of estimate of the three models, expressed as percentage body fat, were 5.6, 5.4 and 4.8% respectively.

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