Specific bioelectrical impedance vector reference values for assessing body composition in the Italian elderly

Saragat, Bruno; Buffa, Roberto; Mereu, Elena; Rui, Marina De; Coin, Alessandra; Sergi, Giuseppe

doi:10.1016/j.exger.2013.11.016

Cited by 53 publications

(57 citation statements)

References 20 publications

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“…Assessment programs could be low cost, noninvasive, and easily executed. Shortcuts for calculations (target heart rate zones, heart rate variability, 43 rate of perceived exertion, maximum oxygen consumption [VO 2max ], body fat composition, 44 balance, and flexibility) and prototype exercise prescriptions are in Appendices A and B. 45 …”

Section: Discussionmentioning

confidence: 99%

Exercise, Sedentary Pastimes, and Cognitive Performance in Healthy Older Adults

Steinberg

Sammel

Harel³

et al. 2014

Am J Alzheimers Dis Other Demen

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Background Moderately vigorous physical activity (MVPA) provides a protective affect against cognitive decline and cardiovascular risk factors. Less is known about sedentary pastimes or non exercise physical activity (NEPA) and cognitive performance. Method 125 healthy adults 65 or older with no clinical evidence of cognitive impairment were enrolled. The CogState computerized neurocognitive battery was administered. Leisure activities were measured using the Community Health Activity Program for Seniors (CHAMPS). Results Sedentary pastimes were associated with executive dysfunction (P = 0.01); MVPA with high memory scores (P = 0.05) and NEPA with improved working memory (P = 0.05). Only sedentary pastimes and executive dysfunction retained significance after correction for multiple comparisons. Smoking and alcohol confounded the association of memory with sedentary pastimes and MVPA. Conclusions Study highlights: negative impact of sedentary pastimes on executive function, need for additional investigation of sedentary behavior, NEPA, the impact of addictions upon activity in late life.

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Section: Discussionmentioning

confidence: 99%

Exercise, Sedentary Pastimes, and Cognitive Performance in Healthy Older Adults

Steinberg

Sammel

Harel³

et al. 2014

Am J Alzheimers Dis Other Demen

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“…The reference bivariate tolerance ellipses currently available were developed with the classic BIVA approach, using the bioelectrical parameters standardised by height; and more recently with the specific BIVA approach, using the bioelectrical parameters standardised by crosssections of the body together with the height (Saragat et al, 2014). Their diagnostic efficacy has been evidenced in various clinical contexts, and it has been observed a good correlation between bioelectrical parameters and clinical diagnosis (Bronhara et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

Specific bioelectrical impedance vector analysis (BIVA) is more accurate than classic BIVA to detect changes in body composition and in nutritional status in institutionalised elderly with dementia

Martín

Silleras

Ortega³

et al. 2014

Experimental Gerontology

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Background: A new analytical variation of bioelectrical impedance vector analysis (BIVA), called specific BIVA, has shown to be more accurate in detecting changes in fat mass than classic BIVA. Objective: To compare classic and specific BIVA in order to identify which is more strongly associated with psychofunctional and nutritional indicators in a group of institutionalised elderly patients with dementia. Subjects and methods: Cross-sectional study. Fifty-four patients (34 women, 20 men) with dementia in moderately severe to very severe stages and aged 60-95 years underwent geriatric nutritional assessment, including body mass index calculations, the Mini Nutritional Assessment, the Geriatric Nutritional Risk Index, and whole body composition analysis. Results: With specific BIVA (unlike with classic BIVA), significant differences were found between women with moderately severe and very severe dementia. In the BIVA conducted for body mass index, the confidence ellipses produced with the classic BIVA approach were highly overlapping; but with specific BIVA, significant differences were observed between the women in different nutritional categories (malnutrition, risk of malnutrition, normal weight and obesity). On the other hand, both approaches distinguished malnourished women from those who were at risk of malnutrition, according to the Mini Nutritional Assessment; and men with a moderate-high risk of malnutrition from men with no risk, on the basis of the Geriatric Nutritional Risk Index. Conclusion: Overall, the findings of the present study suggest that specific BIVA is more effective than classic BIVA in identifying bioelectrical changes associated with psycho-functional and nutritional indicators in institutionalised elderly with dementia.

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“…Os estudos apontaram tambem para o padrão consistente de transformação dos tecidos moles com o avanço da idade devido à perda de massa muscular a partir dos 50 anos, 16 sendo a perda de tecidos moles mais acentuada no sexo masculino. 24,37 O delineamento deste estudo possibilitou que se avaliasse quase 70% da população de indígenas matriculados nas escolas indígenas Kaingáng do RS. No entanto, ressalvas devem ser traçadas quanto à extrapolação dos resultados para o universo dos Kaingáng do RS e das escolas Kaingáng do estado.…”

Section: Discussionunclassified

“…10,16,24,25 De fato, estudos verificaram que variáveis como sexo, raça/etnia, índice de massa corporal e idade influenciaram o padrão de distribuição do vetor resistência -reactância. 10,16,24,25 Reforça-se, portanto, a necessidade de investigações que aprofundem o conhecimento sobre o comportamento das variáveis bioelétricas segundo estas variáveis em diferentes populações.…”

Section: Introductionunclassified