Navegando por Palavras-chave "Elderly Women"

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    Avaliação da composição corporal de idosas praticantes e não praticantes de atividade física regular
    (Universidade Federal de São Paulo (UNIFESP), 2016-05-30) Carvalho, Vanessa Amarante [UNIFESP]; Cendoroglo, Maysa Seabra [UNIFESP]; http://lattes.cnpq.br/6897068755022692; http://lattes.cnpq.br/0227947232694421; Universidade Federal de São Paulo (UNIFESP)
    Aging leads to changes in the body composition and finding a faster and a practical way to analyze the body composition of elderly people is necessary. Since Bioimpedance (BIA) is a validated method to access Fat-Free Mass (FFM), and it has been presenting good results on body composition evaluation, we have decided to evaluate the body composition of elderly women who have a regular physical activity practice (1 hour/ twice a week) and the ones who don’t. A total of 456 elderly women (60 years old or more) were enrolled in our research; however 74 were excluded due to lack of data. The remaining 382 elderly women were divided into Group 1 (with a regular physical activity practice) and Group 2 (without regular physical activity practice). Both group participants have done blood test, anthropometric evaluation, DEXA and BIA exams. Considering the importance of the BMI for the BIA exam, and following the advices of some studies, we have divided the participants of Group 1 and 2 in BMI ≤ 34 Kg/m2 and BMI > 34 Kg/m2. BIA showed to be a valid method of body evaluation when elderly women with a BMI ≤ 34 Kg/m2 are evaluated. Through the correlation analysis, we found out that the age had contributed for a reduction of BIA reactance, and that the HDL-cholesterol and the 25(OH)D had contributed for the increasing of BIA resistance. BIA predictive formulas (device, Kyle et al, Dey et al, Roubenoff et al and Sun et al formulas) presented an excellent correlation and also presented a good agreement with DEXA. Although, the formula that presented the best accuracy to predict the elderly women with lower FFM was the formula of Kyle et al, followed by the formula of Dey et al. DEXA without bone mineral content (BMC) added value showed the lowest mean difference in comparison to other BIA predictive formulas, for this reason, despite the good correlation of DEXA with BMC value added with the predictive formulas, we recommend the use of DEXA without BMC value added to compare BIA predictive formulas with DEXA. The best predictive formula to measure FFM was Kyle et al formula. BIA’s device formula presented a lower sensibility to predict elderly women with FFM inferior to the cut-off point. Fat Mass cut-off point was 35.75%. Elderly women with BMI ≤ 34 Kg/m2 have showed results of FFM index and Fat Mass index closest to percentile 50 of Schutz et al study when compared with elderly women with BMI < 30 Kg/m2. Finally, we have not noticed differences in the analysis of Skeletal Muscle Mass through the use of the prediction formulas of Lee et al and Janssen et al between the group that had a regular physical activity practice with the one that didn’t.