Maximizing postexercise muscle glycogen synthesis: carbohydrate supplementation and the application of amino acid or protein hydrolysate mixtures

Postexercise muscle glycogen synthesis is an important factor in determining the time needed to recover from prolonged exercise.This study investigated whether an increase in carbohydrate intake, ingestion of a mixture of protein hydrolysate and amino acids in combination with carbohydrate, or both results in higher postexercise muscle glycogen synthesis rates than does ingestion of 0.8 g*kg(-)(1)*h(-)(1) carbohydrate, provided at 30-min intervals.Eight trained cyclists visited the laboratory 3 times, during which a control beverage and 2 other beverages were tested. After the subjects participated in a strict glycogen-depletion protocol, muscle biopsy samples were collected. The subjects received a beverage every 30 min to ensure ingestion of 0.8 g carbohydrate*kg(-)(1)*h(-)(1) (Carb trial), 0.8 g carbohydrate*kg(-)(1)*h(-)(1) plus 0.4 g wheat protein hydrolysate plus free leucine and phenylalanine*kg(-)(1)*h(-)(1) (proven to be highly insulinotropic; Carb + Pro trial), or 1.2 g carbohydrate*kg(-)(1)*h(-)(1) (Carb + Carb trial). After 5 h, a second biopsy was taken.Plasma insulin responses in the Carb + Pro and Carb + Carb trials were higher than those in the Carb trial (88 +/- 17% and 46 +/- 18%; P <0.05). Muscle glycogen synthesis was higher in both trials than in the Carb trial (35. 4 +/- 5.1 and 44.8 +/- 6.8 compared with 16.6 +/- 7.8 micromol glycosol units*g dry wt(-)(1)*h(-)(1), respectively; P <0.05).Addition of a mixture of protein hydrolysate and amino acids to a carbohydrate-containing solution (at an intake of 0.8 g carbohydrate*kg(-)(1)*h(-)(1)) can stimulate glycogen synthesis. However, glycogen synthesis can also be accelerated by increasing carbohydrate intake (0.4 g*kg(-)(1)*h(-)(1)) when supplements are provided at 30-min intervals

Nitraatinname van de Nederlandse bevolking op basis van de voedselconsumptiepeiling

Om een beeld te krijgen van de nitraatbelasting van de Nederlandse bevolking is door het RIKILT, op verzoek van de Directie Voedings- en Kwaliteitsaangelegenheden van het Ministerie van Landbouw, Natuurbeheer en Visserij, de nitraatinname van de consument berekend. Daarbij is gebruik gemaakt van gegevens uit de Voedselconsumptiepeiling (VCP) en de Databank contaminanten in voedingsmiddelen (COBA). Daarnaast is nagegaan welke bijdrage diverse produkten/produktgroepen leveren aan de totale nitraatinname. Tenslotte werd, met behulp van een rekenmodel, onderzocht welk effect veranderingen in nitraatgehalten van enkele groenten en drinkwater hebben op het percentage ADI-overschrijdingen

SUGAR-DIP trial: Oral medication strategy versus insulin for diabetes in pregnancy, study protocol for a multicentre, open-label, non-inferiority, randomised controlled trial

Introduction In women with gestational diabetes mellitus (GDM) requiring pharmacotherapy, insulin was the established first-line treatment. More recently, oral glucose lowering drugs (OGLDs) have gained popularity as a patient-friendly, less expensive and safe alternative. Monotherapy with metformin or glibenclamide (glyburide) is incorporated in several international guidelines. In women who do not reach sufficient glucose control with OGLD monotherapy, usually insulin is added, either with or without continuation of OGLDs. No reliable data from clinical trials, however, are available on the effectiveness of a treatment strategy using all three agents, metformin, glibenclamide and insulin, in a stepwise approach, compared with insulin-only therapy for improving pregnancy outcomes. In this trial, we aim to assess the clinical effectiveness, cost-effectiveness and patient experience of a stepwise combined OGLD treatment protocol, compared with conventional insulin-based therapy for GDM. Methods The SUGAR-DIP trial is an open-label, multicentre randomised controlled non-inferiority trial. Participants are women with GDM who do not reach target glycaemic control with modification of diet, between 16 and 34 weeks of gestation. Participants will be randomised to either treatment with OGLDs, starting with metformin and supplemented as needed with glibenclamide, or randomised to treatment with insulin. In women who do not reach target glycaemic control with combined metformin and glibenclamide, glibenclamide will be substituted with insulin, while continuing metformin. The primary outcome will be the incidence of large-for-gestational-age infants (birth weight >90th percentile). Secondary outcome measures are maternal diabetes-related endpoints, obstetric complications, neonatal complications and cost-effectiveness analysis. Outcomes will be analysed according to the intention-to-treat principle. Ethics and dissemination The study protocol was approved by the Ethics Committee of the Utrecht University Medical Centre. Approval by the boards of management for all participating hospitals will be obtained. Trial results will be submitted for publication in peer-reviewed journals

Socioeconomic status and breast cancer incidence: a prospective cohort study

Socioeconomic status and breast cancer incidence: a prospective cohort study. Van Loon AJ, Goldbohm RA, Van den Brandt PA. University of Limburg, Department of Epidemiology, Maastricht, The Netherlands. BACKGROUND. To gain more insight into the relation between socioeconomic status (SES) and breast cancer risk, we have studied that association, before and after adjustment for traditional risk factors for breast cancer, in a prospective cohort study on lifestyle and cancer that started in 1986 in the Netherlands amongst 62,573 women aged 55-69 years. METHODS. At baseline, data on SES, diet, reproductive factors and other covariates were collected by means of a self-administered questionnaire. For data-analysis a case-cohort approach was used. After 3.3 years of follow-up, 471 incident cases were available for analysis. RESULTS. We did not find a higher age-adjusted risk of breast cancer for those with a higher level of education (RR highest/lowest level of education = 0.94, 95% confidence interval [CI]: 0.63-1.39, trend-P = 0.15). Although upper white-collar workers had a slightly higher breast cancer risk than blue-collar workers (RR = 1.16, 95% CI: 0.83-1.62, trend-P = 0.34), women with a profession of higher social standing did not have a higher risk (RR highest/lowest social standing = 0.73, 95% CI: 0.24-2.23, trend-P = 0.86). Additional adjustment for traditional risk factors did not alter the association between SES and breast cancer risk. CONCLUSIONS. We did not find an association between SES and breast cancer risk. This is not in agreement with studies conducted in other European countries and North Americ

Determinants of smoking status:cross-sectional data on smoking initiation and cessation

Background: Cigarette smoking is known to increase the risk of chronic disease. Improved understanding of factors that contribute to smoking initiation and cessation may help to underpin strategies that lead to smoking behavior change. Methods: Cross-sectional data obtained from 11 967 men and women, aged 20-65 years, were used to study associations with smoking initiation and smoking cessation within the general population. Information on smoking habits, socio-demographic factors and psychosocial factors were collected through self-administered questionnaires. Multiple logistic regression analyses were undertaken by gender. Results: Adverse childhood experiences and personality characteristics (including extraversion, neuroticism and hostility) were found to be related to smoking initiation. Age, marital status and tobacco-related factors were consistently associated with smoking cessation. Older people, married persons and those who smoked more cigarettes per day had a higher likelihood of quitting, both for men and women. Conclusions: Smoking initiation was found to be associated with adverse childhood events and with measures of personality whereas smoking cessation was associated predominantly with socio-demographic and tobacco use-related factors