Whey Protein Supplementation in Older Adults With Type 2 Diabetes Undergoing a Resistance Training Program: A Double-Blind Randomized Controlled Trial.

BACKGROUND/OBJECTIVE: This study aims to analyze the effect of whey protein (WP) supplementation on glycemic control, muscle strength, quality of life, and body composition in older adults with non-insulin-dependent diabetes undergoing a resistance training program. METHODS: A double-blind, placebo-controlled, randomized study was carried out with older adults with Type 2 diabetes. Body composition, food intake, muscle strength, glycemic profile, markers of renal function, cardiopulmonary capacity, and quality of life were evaluated. Older adults were randomized into a supplementation group with 33 g of WP consumed twice a week on days of resistance training for 12 weeks supplemented group and a placebo group. RESULTS: In total, 39 older adults were randomized into two groups, 19 in the supplement group and 20 in the placebo group. Both groups showed improvement in muscle strength, with the WP group failing to exceed that of the control group. WP supplementation slightly increased blood urea compared with the placebo group (p = .05), but values remained within normal limits. The group that used WP showed a small improvement in mental health, according to the 12-Item Short-Form Health Survey questionnaire, but without clinically important improvements. CONCLUSION: Both groups showed improvements in muscle strength and mass, regardless of supplementation, showing that resistance exercises performed twice a week can contribute to the nonprogression of sarcopenia in older adults with Type 2 diabetes. More studies are needed to determine the safe and effective amount of supplementation to improve muscle strength without renal impairment in older adults with diabetes.

Dynamic physiological responses in obese and non-obese adults submitted to cardiopulmonary exercise test.

PURPOSE: Obese individuals have reduced performance in cardiopulmonary exercise testing (CPET), mainly considering peak values of variables such as oxygen uptake ([Formula: see text]), carbon dioxide production ([Formula: see text]), tidal volume (Vt), minute ventilation ([Formula: see text]) and heart rate (HR). The CPET interpretation and prognostic value can be improved through submaximal ratios analysis of key variables like [Formula: see text], [Formula: see text], [Formula: see text] [Formula: see text] and oxygen uptake efficiency slope (OUES). The obesity influence on these responses has not yet been investigated. Our purpose was to evaluate the influence of adulthood obesity on maximal and submaximal physiological responses during CPET, emphasizing the analysis of submaximal dynamic variables. METHODS: We analyzed 1,594 CPETs of adults (755 obese participants, Body Mass Index ≥ 30 kg/m2) and compared the obtained variables among non-obese (normal weight and overweight) and obese groups (obesity classes I, II and III) through multivariate covariance analyses. RESULT: Obesity influenced the majority of evaluated maximal and submaximal responses with worsened CPET performance. Cardiovascular, metabolic and gas exchange variables were the most influenced by obesity. Other maximal and submaximal responses were altered only in morbidly obese. Only a few cardiovascular and ventilatory variables presented inconsistent results. Additionally, Vtmax, [Formula: see text], Vt/Inspiratory Capacity, Vt/Forced Vital Capacity, Lowest [Formula: see text], [Formula: see text], and the y-intercepts of [Formula: see text] did not significantly differ regardless of obesity. CONCLUSION: Obesity expressively influences the majority of CPET variables. However, the prognostic values of the main ventilatory efficiency responses remain unchanged. These dynamic responses are not dependent on maximum effort and may be useful in detecting incipient ventilatory disorder. Our results present great practical applicability in identifying exercise limitation, regardless of overweight and obesity.

A new equation to predict peak VO2 in obese patients during cardiopulmonary exercise testing.

We aimed to develop an equation to predict peak VO2 in obese subjects undergoing CPET. In addition, we evaluated and compared three published equations. We randomized 346 obese subjects undergoing CPET into a group for developing the equation (n = 272) and a group for cross-validation (n = 74), compared through the Bland and Altman method. Height, sex and age were responsible for 85·5% of total variability of the peak VO2. Additional 1% and 0·7% of the variability were, respectively, explained by physical inactivity and diabetes. The equation devised was as follows: peakVO2mlmin-1=-677·8+(2135·9×heightm)+(706·8×sexmales=1;females=0)-(15·5×ageyears)-(161·1×physicalinactivityyes=1;no=0)-(176·3×diabetesyes=1;no=0). The mean difference between the estimated and measured peak VO2 was 7 ml min-1 , with a 23·9% bias. Published equations overestimated the peak VO2 by 35·3%, 49·1% and 46·2% bias. The equation developed in this study performed better in predicting peak VO2 in obese adults improving ramp protocol design and CRF evaluations in obese subjects.

Association between physical activity in daily life and pulmonary function in adult smokers.

OBJECTIVE: To determine whether the level of physical activity in daily life (PADL) is associated with pulmonary function in adult smokers. METHODS: We selected 62 adult smokers from among the participants of an epidemiological study conducted in the city of Santos, Brazil. The subjects underwent forced spirometry for pulmonary function assessment. The level of PADL was assessed by the International Physical Activity Questionnaire and triaxial accelerometry, the device being used for seven days. The minimum level of PADL, in terms of quantity and intensity, was defined as 150 min/week of moderate to vigorous physical activity. Correlations between the studied variables were tested with Pearson's or Spearman's correlation coefficient, depending on the distribution of the variables. We used linear multiple regression in order to analyze the influence of PADL on the spirometric variables. The level of significance was set at 5%. RESULTS: Evaluating all predictors, corrected for confounding factors, and using pulmonary function data as outcome variables, we found no significant associations between physical inactivity, as determined by accelerometry, and spirometric indices. The values for FVC were lower among the participants with arterial hypertension, and FEV1/FVC ratios were lower among those with diabetes mellitus. Obese participants and those with dyslipidemia presented with lower values for FVC and FEV1. CONCLUSIONS: Our results suggest that there is no consistent association between physical inactivity and pulmonary function in adult smokers. Smoking history should be given special attention in COPD prevention strategies, as should cardiovascular and metabolic comorbidities.

Association between physical activity in daily life and pulmonary function in adult smokers / Associação entre o nível de atividade física na vida diária e a função pulmonar em tabagistas adultos

Objective: To determine whether the level of physical activity in daily life (PADL) is associated with pulmonary function in adult smokers. Methods: We selected 62 adult smokers from among the participants of an epidemiological study conducted in the city of Santos, Brazil. The subjects underwent forced spirometry for pulmonary function assessment. The level of PADL was assessed by the International Physical Activity Questionnaire and triaxial accelerometry, the device being used for seven days. The minimum level of PADL, in terms of quantity and intensity, was defined as 150 min/week of moderate to vigorous physical activity. Correlations between the studied variables were tested with Pearson's or Spearman's correlation coefficient, depending on the distribution of the variables. We used linear multiple regression in order to analyze the influence of PADL on the spirometric variables. The level of significance was set at 5%. Results: Evaluating all predictors, corrected for confounding factors, and using pulmonary function data as outcome variables, we found no significant associations between physical inactivity, as determined by accelerometry, and spirometric indices. The values for FVC were lower among the participants with arterial hypertension, and FEV1/FVC ratios were lower among those with diabetes mellitus. Obese participants and those with dyslipidemia presented with lower values for FVC and FEV1. Conclusions: Our results suggest that there is no consistent association between physical inactivity and pulmonary function in adult smokers. Smoking history should be given special attention in COPD prevention strategies, as should cardiovascular and metabolic comorbidities.

Objetivo: Determinar se há associações entre o nível de atividade física na vida diária (AFVD) e a função pulmonar em tabagistas adultos. Métodos: Foram selecionados 62 tabagistas adultos de um estudo epidemiológico, realizado na cidade de Santos (SP). Os participantes realizaram o teste de espirometria forçada para a avaliação da função pulmonar. O nível de AFVD foi avaliado pelo Questionário Internacional de Atividade Física e por acelerometria triaxial (aparelho utilizado por sete dias). O nível mínimo de AFVD, em termos de quantidade e intensidade, foi definido como 150 min/semana de atividade física moderada a vigorosa durante o monitoramento. As correlações entre as variáveis estudadas foram avaliadas pelo coeficiente de correlação de Pearson ou de Spearman conforme a distribuição das variáveis. A influência de AFVD nas variáveis espirométricas foi avaliada por meio de análise de regressão múltipla linear. O nível de significância foi estipulado em 5%. Resultados: Quando avaliados todos os preditores corrigidos para fatores de confusão e utilizando dados da função pulmonar como variáveis de desfecho, não foram observadas associações significativas entre a inatividade física avaliada por acelerometria e os índices espirométricos. As análises mostraram valores inferiores da CVF em participantes com hipertensão arterial e da relação VEF1/CVF nos participantes com diabetes mellitus. Os participantes obesos e os dislipidêmicos apresentaram valores inferiores de CVF e VEF1. Conclusões: Nossos resultados sugerem que a inatividade física apresenta associação pouco consistente com a função pulmonar de tabagistas adultos. A carga tabágica, assim como comorbidades cardiovasculares e metabólicas, deveriam ser priorizadas em estratégias preventivas da DPOC.