Diabetes & metabolic syndrome
-
Diabetes Metab Syndr · Jul 2019
Adherence to a healthy plant diet may reduce inflammatory factors in obese and overweight women-a cross-sectional study.
Obesity and overweight which are consequence of some interaction factor such as genetics and behavioral habit. Obesity as a metabolic disorder and chronic inflammation is a trigger to countless disease. The main goal of this study is to investigate the interaction of herbal diet on the levels of liver enzymes, inflammatory factors and adipocytes profile. ⋯ Base on our finding, in those people who intake higher amounts of healthy plant foods, (vegetable types), instead of unhealthy herbal foods (sweets and desserts), might be useful to reduce inflammation factor like TGF-β and hs-CRP. Women with a higher compliance score in uPDI group (juices, refined grains, starches sweetened with sugar, sweets, and desserts) did not have significantly increase in inflammatory factors levels.
-
Diabetes Metab Syndr · Jul 2019
Metrics of activity in social networks are correlated with traditional metrics of scientific impact in endocrinology journals.
Traditional journal level metrics, as the impact factor or Scimago journal ranking indicator (SJR) measure the impact of research on other researchers, but fail to assess the reach of these publications among wider audiences. This study aims to assess the correlation between SJR and metrics of presence on social networks of endocrinology journals. ⋯ Of the 232 journals evaluated, 28 (12.1%) had social networks. The median SJR (1.53 vs 0.60, p < 0.01), and H index (58.5 vs 22, p < 0.01) were significantly higher among journals with social networks. The correlation between the number of followers on twitter and the SJR was moderate (r = 0.60, p < 0.05), and it was better in journals with more than 500 publications in the last 3 years (r = 0.85, p < 0.05). The number of tweets also had a moderate correlation with the SJR (r = 0.59, p < 0.05) CONCLUSIONS: Our results suggest that the dissemination of research on social networks is moderately related to the traditional metrics of impact. Both types of metrics offer complementary information: while metrics based on social media may not perfectly predict the impact a scientific journal, it does have the advantage of immediacy.