It has been demonstrated that a vegetarian diet may be effective in reducing body weight, however, the underlying mechanisms are not entirely clear. We investigated whether there is a difference in resting energy expenditure between 26 vegetarians and 26 non-vegetarians and the correlation between some nutritional factors and inflammatory markers with resting energy expenditure. In this cross-sectional study, vegetarians and non-vegetarians were matched by age, body mass index and gender. All underwent instrumental examinations to assess the difference in body composition, nutrient intake and resting energy expenditure. Biochemical analyses and 12 different cytokines and growth factors were measured as an index of inflammatory state. A higher resting energy expenditure was found in vegetarians than in non-vegetarians (p = 0.008). Furthermore, a higher energy from diet, fibre, vegetable fats intake and interleukin-β (IL-1β) was found between the groups. In the univariate and multivariable analysis, resting energy expenditure was associated with vegetarian diet, free-fat mass and vegetable fats (p < 0.001; Slope in statistic (B) = 4.8; β = 0.42). After adjustment for cytokines, log10 interleukin-10 (IL-10) still correlated with resting energy expenditure (p = 0.02). Resting energy expenditure was positively correlated with a specific component of the vegetarian’s diet, i.e., vegetable fats. Furthermore, we showed that IL-10 was positively associated with resting energy expenditure in this population.
Background and Aim: Most studies focused on the benefits of weight loss on hepatic steatosis and no studies have been specifically designed to assess the role of weight gain on the development of liver steatosis in patients affected by inflammatory bowel diseases. The aim of this study was to analyse the relation between weight change over time and liver steatosis in patients with inflammatory bowel diseases. Methods: We retrospectively evaluated a population of 89 ambulatory patients in clinical remission or affected by mild disease, as determined from disease activity indices, with at least one follow-up visit. Transient elastography was used to quantify liver steatosis. Results: A total of 49 individuals (55%) were overweight/obese at baseline. A significant difference in weight change was found between participants that improved, were stable and worsened, over a mean follow-up of four years. (−1.0 kg ± 4; 2.5 kg ± 6; and 5.4 kg ± 5; respectively, p = 0.009). We found a greater probability of worsening in the hepatic fat content in individuals who gained more than 6% of body weight than in those gaining less than this value (log–rank (Mantel–Cox) χ2 test = 9.85; df = 1; p = 0.002). Conclusions: A body weight gain of 6% increases the probability of deterioration in liver steatosis over a period of four years in patients with inflammatory bowel diseases. Weight gain prevention with lifestyle interventions may be the cornerstone treatment of these patients.
PurposeAlthough the role of dietary factors in the prevention of bone loss and fractures has been investigated in many studies, few studies have examined the association between dietary patterns and total body bone density. Our aim was to determine the relations between dietary patterns and whole-body bone mineral density (WB-BMD) and the association between dietary patterns, fractures, and multiple fractures in the elderly.MethodsThis cross-sectional study included 177 individuals aged ≥65 years. A dual X-ray absorptiometry scan was performed to measure BMD. Dietary patterns were ascertained by a combination of dietary intake assessment and principal components analysis.ResultsOnly three dietary patterns correlated with whole-body bone density. The multivariate-adjusted mean bone density across tertiles of these dietary patterns showed that the highest tertile of both the patterns 1 and 2 had a significantly higher bone density than the lowest tertile (pattern 1: 1.021 ± 0.01 and 1.070 ± 0.01 g/cm2 for T1 and T3, respectively; p = 0.043; pattern 2: 1.023 ± 0.01, and 1.081 ± 0.01 g/cm2 for T1 and T3, respectively; p = 0.003). We also find significant gender difference in these results. The highest adherence to the dietary pattern 5 was associated with decreased odds of having fractures (OR = 0.20, p = 0.009), and adherence to the pattern 1 was negatively associated with multiple fractures.ConclusionA high adherence to the dietary pattern 1 (high intake of grains, fish and olive oil) was associated with a high BMD and a low number of fractures. The highest adherence to the dietary pattern 5 (legumes and wine) was associated with decreased odds of having fractures. Our finding would suggest a potential bone-preserving properties of specific dietary patterns in the elderly.
Inflammatory bowel disease (IBD) is an inflammatory condition of the gastrointestinal tract encompassing Crohn disease and ulcerative colitis, often associated with extraintestinal manifestations. Nonalcoholic fatty liver disease represents one of the described inflammatory bowel disease–related liver diseases. To understand the IBD contribution to nonalcoholic fatty liver disease onset, we compared liver fat content and fibrosis between IBD patients and healthy controls integrating medical and nursing expertise (integrated nursing approach). A total of 95 patients and 53 healthy volunteers were recruited. Only nondiabetic and nonobese individuals were included in the study. Liver evaluation was performed by an experienced nurse using transient elastography. We found that IBD patients had higher liver fat content than the control group (p = .003). Bonferroni post hoc analyses revealed that patients with Crohn disease or ulcerative colitis had higher liver fat than the control group. We also found that ulcerative colitis was associated with more than a 4-fold increased risk for mild steatosis and 7-fold increased risk for moderate/severe steatosis independently from other risk factors such as glucose and body mass index. In conclusion, we showed for the first time that ulcerative colitis is an independent risk factor for hepatic steatosis measured by transient elastography.
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