1.
Lifestyle factors and visceral adipose tissue: Results from the PREDIMED-PLUS study.
Galmes-Panades, AM, Konieczna, J, Abete, I, Colom, A, Rosique-Esteban, N, Zulet, MA, Vázquez, Z, Estruch, R, Vidal, J, Toledo, E, et al
PloS one. 2019;14(1):e0210726
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Excess visceral adipose tissue (VAT, abdominal fat) is a risk factor for developing cardiovascular disease, type 2 diabetes mellitus and all cause mortality. Lifestyle factors, including diet and physical activity, are associated with VAT. This cross-sectional study evaluated the association between different levels of physical activity (PA), adherence to an energy-restricted Mediterranean diet and sedentary lifestyle with VAT in older people with overweight/obesity and metabolic syndrome. Data were taken from an ongoing randomised study evaluating the effect of a weight loss programme based on an energy-restricted Mediterranean diet, promotion of physical activity and behavioural support compared to usual care consisting of advice on an energy-unrestricted Mediterranean diet only. Total and moderate-to-vigorous physical activity and muscle strength were inversely, and sedentary behaviour was positively associated with VAT. There was no statistically significant association between VAT and light exercise, adherence to the energy-reduced Mediterranean diet and watching TV.
Abstract
BACKGROUND Visceral adipose tissue (VAT) is a strong predictor of cardiometabolic health, and lifestyle factors may have a positive influence on VAT depot. This study aimed to assess the cross-sectional associations between baseline levels of physical activity (PA), sedentary behaviours (SB) and adherence to the Mediterranean diet (MedDiet) with VAT depot in older individuals with overweight/obesity and metabolic syndrome. METHODS Baseline data of the PREDIMED-Plus study including a sample of 1,231 Caucasian men and women aged 55-75 years were used. Levels of leisure-time PA (total, light, and moderate-to-vigorous, in METs·min/day) and SB (total and TV-viewing, in h/day) were evaluated using validated questionnaires. Adherence to the MedDiet was evaluated using a 17-item energy-restricted MedDiet (erMedDiet) screener. The chair-stand test was used to estimate the muscle strength. VAT depot was assessed with DXA-CoreScan. Multivariable adjusted linear regression models were used to evaluate the association between lifestyle factors and VAT. For the statistics we had used multiadjusted linear regression models. RESULTS Total leisure-time PA (100 METs·min/day: β -24.3g, -36.7;-11.9g), moderate-to-vigorous PA (β -27.8g, 95% CI -40.8;-14.8g), chair-stand test (repeat: β -11.5g, 95% CI -20.1;-2.93g) were inversely associated, and total SB (h/day: β 38.2g, 95% CI 14.7;61.7) positively associated with VAT. Light PA, TV-viewing time and adherence to an erMedDiet were not significantly associated with VAT. CONCLUSIONS In older adults with overweigh/obesity and metabolic syndrome, greater PA, muscle strength, and lower total SB were associated with less VAT depot. In this study, adherence to an erMedDiet was not associated with lower VAT.
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Glycemic load effect on fasting and post-prandial serum glucose, insulin, IGF-1 and IGFBP-3 in a randomized, controlled feeding study.
Runchey, SS, Pollak, MN, Valsta, LM, Coronado, GD, Schwarz, Y, Breymeyer, KL, Wang, C, Wang, CY, Lampe, JW, Neuhouser, ML
European journal of clinical nutrition. 2012;66(10):1146-52
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Dietary intervention studies have shown detrimental metabolic effects of high-glycaemic load diets. The glycaemic index (GI) is the numerical classification of a particular food’s blood glucose-raising effect. The aim of this study was to evaluate the effect of a high-glycaemic load diet on circulating levels of insulin-like growth factor-1 (IGF-1) [hormone] and insulin-like growth factor-binding protein 3 (IGFBP-3) [protein] compared to a low-glycaemic load diet. The study is a randomised controlled crossover study which enrolled 84 normal weight and overweight-obese healthy individuals. The study included two 28-day weight-maintaining high- and low-glycaemic load diets. Results indicate that consumption of a low-glycaemic load diet resulted in lower post-prandial [after a meal] insulin and glucose responses and modestly lower fasting IGF-1 and IGF-1/IGFBP-3 concentrations. However, there were no observable effects of glycaemic load on insulin resistance or glucose-adjusted post-prandial insulin responses in these healthy participants. Authors conclude that further intervention studies are required in order to weigh the impact of dietary glycaemic load on risk for chronic disease.
Abstract
BACKGROUND/OBJECTIVES The effect of a low glycemic load (GL) diet on insulin-like growth factor-1 (IGF-1) concentration is still unknown but may contribute to lower chronic disease risk. We aimed to assess the impact of GL on concentrations of IGF-1 and IGF-binding protein-3 (IGFBP-3). SUBJECTS/METHODS We conducted a randomized, controlled crossover feeding trial in 84 overweight obese and normal weight healthy individuals using two 28-day weight-maintaining high- and low-GL diets. Measures were fasting and post-prandial concentrations of insulin, glucose, IGF-1 and IGFBP-3. In all 80 participants completed the study and 20 participants completed post-prandial testing by consuming a test breakfast at the end of each feeding period. We used paired t-tests for diet component and linear mixed models for biomarker analyses. RESULTS The 28-day low-GL diet led to 4% lower fasting concentrations of IGF-1 (10.6 ng/ml, P=0.04) and a 4% lower ratio of IGF-1/IGFBP-3 (0.24, P=0.01) compared with the high-GL diet. The low-GL test breakfast led to 43% and 27% lower mean post-prandial glucose and insulin responses, respectively; mean incremental areas under the curve for glucose and insulin, respectively, were 64.3±21.8 (mmol/l/240 min; P<0.01) and 2253±539 (μU/ml/240 min; P<0.01) lower following the low- compared with the high-GL test meal. There was no effect of GL on mean homeostasis model assessment for insulin resistance or on mean integrated post-prandial concentrations of glucose-adjusted insulin, IGF-1 or IGFBP-3. We did not observe modification of the dietary effect by adiposity. CONCLUSIONS Low-GL diets resulted in 43% and 27% lower post-prandial responses of glucose and insulin, respectively, and modestly lower fasting IGF-1 concentrations. Further intervention studies are needed to weigh the impact of dietary GL on risk for chronic disease.