Background: Gut hormones secretion is related to habitual mealtimes. However, how fast gut hormones adjust to that change when people change their fixed mealtime remains unknown.
Methods: Seven healthy male volunteers were asked to eat a test breakfast at 0700 am for 2 weeks before the start of the study. Then, their fixed mealtime was intentionally changed from 0700 am to 0900 am for next 2 weeks. Blood samples were drawn every half hour from 0500 am until next 3h after breakfast for determining gut hormone levels every week.
Results: After a change in fixed mealtime, the release pattern of acylated ghrelin was first adjusted identically according to the change and then total ghrelin was made. The meal-related fluctuations of acylated ghrelin were delayed by 120 min from week 1 after the change, while those of total ghrelin were delayed by 60 min at week 1, by 120 min at week 2. Two weeks was not enough time to adjust completely for PYY(3-36) to the change.
Conclusion: Two weeks is enough time until the pattern release of ghrelin, but not PYY(3-36) , is adjusted fully after a fixed mealtime change in human.
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http://dx.doi.org/10.1016/j.cca.2012.08.017 | DOI Listing |
Syst Rev
January 2025
Centre for Clinical Intervention Research, Copenhagen Trial Unit, Capital Region of Denmark, Copenhagen, Denmark.
Background: Type 1 diabetes is a serious, chronic disorder with an increasing incidence among children and adolescents. Glycemic control in individuals with type 1 diabetes is better managed through a basal-bolus regimen with either regular human or rapid-acting insulin analogues administered as a bolus at mealtimes. Rapid-acting insulin analogues have been hypothesized to cause optimal glycemic control and less risk of hypoglycemic episodes compared to regular human insulins.
View Article and Find Full Text PDFFront Pharmacol
November 2024
University of Pittsburgh, School of Nursing, Pittsburgh, PA, United States.
Aim: We aim to compare different operational definitions of medication adherence as well as examine the within-patient variability among these measures among patients treated for multiple comorbid conditions.
Methods: Electronically monitored adherence data from a study on comorbid conditions were examined using three different calculation methods. DAILY adherence calculated the number of administrations divided by the number prescribed, without considering inter-dose interval.
Diabetes Technol Ther
November 2024
Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia, USA.
Automated insulin delivery (AID) is widely available to people with type 1 diabetes (T1D), providing superior glycemic control versus traditional methods. The next generation of AID devices focus on minimizing user/device interactions, especially around meals ("full closed loop," [FCL]). Our goal was to assess the postprandial glycemic impact of the bolus priming system (BPS), an algorithm delivering fixed insulin doses based on the likelihood of a meal having occurred, in conjunction with UVA's latest AID.
View Article and Find Full Text PDFAppetite
January 2025
UNE Business School, University of New England, Armidale, New South Wales, Australia. Electronic address:
This study examines the link between employment-related time poverty and food away from home (FAFH) behaviour. We use a large representative sample of Australians drawn from five waves of panel data from the Household, Income and Labour Dynamics in Australia (HILDA) survey. Endogeneity biases stemming from reverse causality and omitted variable issues are resolved using fixed effect-instrumental variable approach while other quasi-experimental methods are applied to check for consistency in findings.
View Article and Find Full Text PDFNutrients
October 2024
Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO 80045, USA.
Background: Fasting glucose is higher in pregnancies with obesity (OB); less is known about postprandial (PP) and nocturnal patterns when the diet is eucaloric and fixed or about the continuous-glucose-monitor (CGM) metrics that predict neonatal adiposity (NB%fat). We hypothesized that continuous glucose monitors (CGMs) would reveal higher glycemia in OB vs. normal weight (NW) during (14-16 weeks) and (26-28 weeks) gestation despite macronutrient-controlled eucaloric diets and elucidate unique predictors of NB%fat.
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