T-fiber, a highland barley fiber-rich powder, alleviates hyperglycemia and improves kidney pathology in Db/db mice

The role of dietary fiber in highland barley in lowering blood lipids has been continuously studied in recent years. However, its effects on diabetes and diabetic nephropathy are rarely studied. Considering that highland barley bran is rich in dietary fiber, the effective use of dietary fiber in highland barley bran can not only alleviate the symptoms of diabetes but also improve the local economy. This article aimed to study the effects of highland barley fiber-rich powder (T-fiber) with a high-quality natural dietary fiber ratio (insoluble fiber/soluble fiber = 3 : 1) on the symptoms of hyperglycemia in a diabetic mouse model. Compared with the model group's blood glucose level (30.80 mmol/L), glucose tolerance (28.57 mmol/L), and glycosylated serum protein (2.43 mmol/L), T-fiber presented significant reductions in blood glucose (23.69 mmol/L), better glucose tolerance (21.32 mmol/L), and glycosylated serum protein (1.78 mmol/L) in the diabetic mouse model. Meanwhile, T-fiber effectively alleviated hepatocellular lesions. In addition, T-fiber not only improved kidney function by reducing the 24-hour urine output (8.25 ml), urine protein levels (11.51 mg), and serum creatinine (13.80 mol/L) but also alleviated renal pathology, including glomerular hypertrophy, mesangial expansion, and fibrosis. The above results proved the ability of T-fiber to reduce blood glucose and alleviate liver and renal function in diabetic mice. Altogether, T-fiber is a capable formula for utilizing highland barley bran dietary fiber, which alleviates diabetes symptoms and endows highland barley with promising value.

The effect of overweight or obesity on the negative conversion time of SARS-CoV-2 nucleic acid

Objective To investigate the relationship between the body mass index (BMI) levels and the negative conversion time of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleic acid in adult coronavirus disease 2019 (COVID-19) patients and the asymptomatic persons. Methods Asymptomatic infected patients and confirmed COVID-19 patients admitted to Chengdu Public Health Clinic Center from February 2021 to November 2021 were dynamically included. The epidemiological and clinical characteristics of the objects were collected, and the SARS-CoV-2 nucleic acid testing of the objects during their hospitalization was continuously monitored, and the negative nucleic acid conversion time was recorded. The t test or Wilcoxon rank sum test, X 2 test or Fisher's exact probability method examine were used to distribute characteristics of each group of variables and the connection between different variables, respectively. Then the variables showed differences in distribution (P < 0.05) between different BMI groups were included in the multivariate Cox proportional risk regression model. Results A total of 253 subjects ranged from 18 to 63 years old, with M(P25, P75) age of 37.0 (30.0, 47.0) years old, were included in this study. The male to female ratio was 4.16 to 1. The BMI was (23.97+or-3.33) kg/m2. 50.59% (128/253) of the objects were overweight or obese, and 78.13% (100/128) were overweight. The negative time of SARS-CoV-2 nucleic acid conversion of all subjects ranged from 1 to 71 days, with M(P25, P75) of 7.0 (2.0, 18.0) days (P < 0.001). The negative time of SARS-CoV-2 nucleic acid conversion of the normal weight or the thin, and the overweight or obese were 5.00 (2.00, 19.00) and 8.00 (2.00, 17.75) days respectively. The results of multivariate Cox's proportional hazards regression model showed that the BMI levels may not be associated with the negative conversion time of SARS-CoV-2 nucleic acid (HR=1.090, 95%CI: 0.843-1.410, P=0.510). Conclusions Adult asymptomatic persons and confirmed COVID-19 patients are mainly middle-aged and young males, and overweight or obesity is relatively common. Overweight or obesity cannot be considered as an independent factor influencing the negative conversion time of SARS-CoV-2 nucleic acid.

Gender Difference and Correlates of Physical Activity Among Urban Children and Adolescents in Ethiopia: A Cross-Sectional Study.

Background: Studies indicate that children and adolescent populations in most countries show a low level of physical activity (PA) and an increasing prevalence of obesity. Addressing gender disparity in PA is the main element of public health programs. There is currently a paucity of studies, particularly, in developing countries that investigate gender differences and correlates of PA among children and adolescents. Objective: The study is aimed to assess the gender difference and correlates of PA among children and adolescents in Ethiopia. Methods: An observational population-based cross-sectional study was conducted in representative samples of children and adolescents in the capital city of Ethiopia, Addis Ababa. Multivariable logistic regression models with robust estimation of SEs were fitted to predict the odds ratios (ORs) and 95% CIs. Results: A total of 632 children and adolescents-parent dyads were included in the study. More boys than girls (17.0 and 11.7%) were engaged in moderate intensity PA 3 days a week or more (p = 0.057). Age, mothers working in a private business, attending public schools, longer sleep duration, and being taught the benefits of PA were positively associated with meeting moderate-to-vigorous PA (MVPA) in both sexes combined and in a sub-sample of boys. Furthermore, an inverse association was found between overweight/obesity and MVPA in the overall children and girls as well. For moderate PA (MPA); the age of the children, maternal education and occupation, school type, overweight/obesity, and sleep duration on school nights were significant correlates among the studied children. Conclusions: The present study provided evidence of several correlates identified associated with meeting MVPA and MPA in both sexes combined. Girls are less likely than boys to engage in PA. Therefore, there is a need to take into perspectives the provision of a comprehensive multifaceted health behavior modification and interventions, such as focused and regular physical education in schools.

Association between COVID-19 morbidity, mortality, and gross domestic product, overweight/ obesity, non-communicable diseases, vaccination rate: A cross-sectional study.

BACKGROUND: The spread of COVID-19 depends on a lot of social and economic factors. THE AIM: to study the influence of country's gross domestic product, population prevalence of overweight/ obesity, NCD mortality, and vaccination on COVID-19 morbidity and mortality rates. METHODS: A cross-sectional study with two phases: correlation-regression interrelations in 1) all world countries; 2) all world non-island countries. The study includes the following data from 218 world countries: COVID-19 morbidity/mortality rates, GDP per capita, the prevalence of overweight/ obesity, NCD mortality among adults (both sexes), people fully vaccinated against COVID-19. RESULTS: An average percentage of the prevalence of overweight among adults in world countries by 2019 was 47.31 ± 15.99%, obesity 18.34 ± 9.64%, while the prevalence by 2016 were 39% and 13%, respectively. Overweight and obesity among adults during three years grew by 21.2% and 40.8%, respectively. Data from the world countries provide significant correlations (p < 0.0001) between COVID-19 morbidity, and: GDP (r = 0.517), overweight (r = 0.54), obesity (r = 0.528), NCD mortality (r = 0.537); COVID-19 mortality, and: GDP (r = 0.344), overweight (r = 0.514), obesity (r = 0.489), NCD mortality (r = 0.611); GDP, and: overweight (r = 0.507), obesity (r = 0.523), NCD mortality (r = 0.35), fully vaccinated people (r = 0.754). An increase in fully vaccinated people, from 3% to 30% of world population, decreases new confirmed COVID-19 cases, although the dependence was not significant (p = 0.07). Data from non-island world countries provides more highly significant correlations (p < 0.0001) between COVID-19 morbidity, and: GDP (r = 0.616), overweight (r = 0.581), obesity (r = 0.583); COVID-19 mortality, and: GDP (r = 0.43), overweight (r = 0.556), obesity (r = 0.539); GDP, and: overweight (r = 0.601), obesity (r = 0.633). The differences of correlation coefficients between data of 176 world countries and data of 143 world non-island countries were not significant (Z-scores<1.29; p > 0.05). CONCLUSION: The study provides evidence of a significant impact of overweight/obesity prevalence on the increase in COVID-19 morbidity/mortality. Countries with higher GDP have a high overweight/obesity prevalence and possibility to get vaccinated.