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  1. Article: Prevalence of Sarcopenia and Association with Lifestyle Patterns in Patients with Type 2 Diabetes Mellitus (P01-025-19)

    Paula, Tatiana de / Araujo, Karen / Freitas, Mauren de / Lopes, Vanessa / Miller, Maria Elisa / Viana, Luciana

    Current developments in nutrition. 2019 June 13, v. 3, no. Supplement_1

    2019  

    Abstract: The aim of the study was to establish the prevalence of sarcopenia and associated factors in elderly with type 2 diabetes (DM) in southern Brazil. A cross-sectional study was performed in 240 patients with type 2 DM. The diagnosis of sarcopenia was ... ...

    Abstract The aim of the study was to establish the prevalence of sarcopenia and associated factors in elderly with type 2 diabetes (DM) in southern Brazil. A cross-sectional study was performed in 240 patients with type 2 DM. The diagnosis of sarcopenia was performed according to EWGSOP criteria. Muscle mass was calculated by skeletal muscle mass index (appendicular skeletal muscle mass/height2 - Inbody® bioimpendance). Muscle strength was assessed by manual grip strength (Jamar® dynamometer) and physical performance was assessed by the sit and lift test. Patients with type 2 DM with age ≥60 years and with the ability to ambulate were selected. Patients with recent cardiovascular events, serum creatinine >2.0 mg/dl, use of corticosteroids and BMI >40 kg/m2 were excluded. The sample size was 240 patients based on meta-analysis who found 17% sarcopenia in elderly patients without DM. We included 240 patients aged 68.4 ± 5.5 years, 53.2% were women and the duration of DM was 15 (8–22) years, the BMI was 29.4 ± 4.4 kg/m2. The prevalence of sarcopenia was 21% and men had more sarcopenia (75%). Patients with sarcopenia walk less [3541 (2227–4574) vs. 4521 (3037–5678) steps, P = 0.013], drink more alcohol [21 (56.8%) vs. 71 (31.8%); P < 0.034] and have lower total cholesterol levels [146 ± 41 Vs. 168 ± 43; P = 0.007] than the group without sarcopenia. In multivariate logistic regression models, walking < 3760 steps [OR = 2868; CI 95% 1.331–6.181] and male [OR = 5285; CI 95% 2261–12,350], were associated with sarcopenia. The prevalence of sarcopenia was 21%, higher than in patients without diabetes (17%). In this group of patients, lower physical activity, and male sex were associated with sarcopenia. FIPE n. 160467; CAPES.
    Keywords adrenal cortex hormones ; blood serum ; body mass index ; cholesterol ; creatinine ; cross-sectional studies ; elderly ; lifestyle ; males ; men ; meta-analysis ; muscle strength ; noninsulin-dependent diabetes mellitus ; patients ; regression analysis ; sarcopenia ; skeletal muscle ; walking ; women ; Brazil
    Language English
    Dates of publication 2019-0613
    Publishing place Oxford University Press
    Document type Article
    ISSN 2475-2991
    DOI 10.1093/cdn/nzz028.P01-025-19
    Database NAL-Catalogue (AGRICOLA)

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  2. Article: Validity of Predictive Equations for Metabolic Basal Rate in Brazilian Patients with Type 2 Diabetes (P12-039-19)

    Steemburgo, Thais / Azevedo, Mirela Jobim de / Boeno, Francesco / Freitas, Mauren de / Grassi, Thaiciane / Nascimento, Aline / Oliveira, Alvaro Reischak de / Paula, Tatiana de / Viana, Luciana Vercoza

    Current developments in nutrition. 2019 June 13, v. 3, no. Supplement_1

    2019  

    Abstract: To evaluate in Brazilian patients with type 2 diabetes which of the seven predictive equations selected to estimate basal metabolic rate (BMR) is the best alternative considering calorimetry indirect (CI) as a reference method. A cross-sectional study ... ...

    Abstract To evaluate in Brazilian patients with type 2 diabetes which of the seven predictive equations selected to estimate basal metabolic rate (BMR) is the best alternative considering calorimetry indirect (CI) as a reference method. A cross-sectional study was conducted with 62 patients (31 men and 31 women) with type 2 diabetes. Clinical and laboratorial variables were evaluated as well as body composition by electrical bioimpedance. The BMR was measured by IC (Analisador MedGraphics Cardiorespiratory Diagnostic Systems, model CCM Express®) and estimated by prediction equations. Dietary intake was evaluated by a food frequency questionnaire (FFQ). Data were analyzed using Bland–Altman plots, paired t-tests, and Pearson's correlation coefficients. Our patients were aged 63.1 ± 5.2 years, had diabetes duration of 11 (1–36) years and A1C test 7.6 ± 1.2%. The body composition contained a fat free mass of 35.2 ± 11.8 kg and a fat mass of 29.1 ± 8.8 kg. The energy intake by FFQ was 1826.9 ± 628.1 Kcal/day and the BMR by IC was 1644.6 ± 310.6 kcal/day. There was a wide variation in the accuracy of BMR values predicted by equations when compared to IC BMR measurement. FAO/WHO/UNO and Oxford equations produced the smallest differences to IC. For women, the FAO/WHO/UNO equation provided the best BMR prediction in comparison to measured BMR (−1.8% of the difference). For men, the equation of the Oxford was the one closest to the BMR values as measured by IC (−1.3% of the difference). In Brazilian patients with type 2 diabetes, the predictive equations by FAO/WHO/UNO (for women) and Oxford (for men) were the best to estimate BMR. Fundação do Incentivo à Pesquisa (FIPE) of Hospital de Clinicas de Porto Alegre (#protocol 15.0625) and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior.
    Keywords basal metabolic rate ; bioelectrical impedance ; calorimetry ; cross-sectional studies ; data analysis ; energy intake ; equations ; food frequency questionnaires ; food intake ; lean body mass ; men ; noninsulin-dependent diabetes mellitus ; patients ; prediction ; t-test ; women
    Language English
    Dates of publication 2019-0613
    Publishing place Oxford University Press
    Document type Article
    ISSN 2475-2991
    DOI 10.1093/cdn/nzz035.P12-039-19
    Database NAL-Catalogue (AGRICOLA)

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