scholarly journals Effects of Fermentated Feed and Probiotic + Acidifier Supplements on Glucose Levels and Abdomen Chicken Fat Broiler

Author(s):  
Askura Nikmah ◽  
Fita Ridhana ◽  
Ilma Fitri ◽  
Hikmah Hikmah

The purpose of this study was to determine the effect of adding probiotic acidifier on the condition of the digestive tract, glucose levels and abdominal fat in broiler chickens. This research conducted in Takengon, Central Aceh District. The parameters observed were the condition of the digestive tract, blood glucose levels and the percentage of abdominal fat. The data obtained were analyzed using analysis of variance (ANOVA). The results showed the use of a 1: 1 mixture of probiotics and acidifier to level 0. The 3% added to the commercial ration which was substituted with 10% fermented feed ingredients (R-KFPA) had no significant effect (P <0.05) on weight and percentage of Gizzard, Gizzard pH and Intestine pH, Intestinal Length, Weight and Percent of Abdominal Fat, as well as blood glucose levels in broiler chickens. Although statistically not significantly different, giving a mixture of probiotics and acidifier at the level of 0.3% (R4) showed a positive effect on decreasing the percentage of abdominal fat from 1.52% (R1) to 1.35% (R4). The blood glucose obtained in this study was slightly higher than normal blood glucose levels in chickens as reported by Swenson weight and percentage of abdominal fat, as well as blood glucose levels of broiler chickens. Although statistically not significantly different, giving a mixture of probiotics and acidifier at the level of 0.3% (R4) showed a positive effect on decreasing the percentage of abdominal fat from 1.52% (R1) to 1.35% (R4). The blood glucose obtained in this study was slightly higher than normal blood glucose levels in chickens as reported by Swenson weight and percentage of abdominal fat, as well as blood glucose levels of broiler chickens. Although statistically not significantly different, giving a mixture of probiotics and acidifier at the level of 0.3% (R4) showed a positive effect on decreasing the percentage of abdominal fat from 1.52% (R1) to 1.35% (R4). The blood glucose obtained in this study was slightly higher than normal blood glucose levels in chickens as reported by Swenson (1993), which ranges from 13 to 27 ml / dl or 130 to 270 mg / dl. It is suspected that this is due to increased digestive activity in chickens so that more nutrients are absorbed.

1986 ◽  
Vol 113 (3_Suppl) ◽  
pp. S74-S76 ◽  
Author(s):  
K. Fuhrmann

Abstract. The treatment of 620 insulin-dependent diabetic pregnant women is reported. The goal of treatment was to achieve a normal blood glucose concentration as soon as possibly during early, or even before pregnancy. When intensified conventional insulin therapy was started before conception, about 88% of the patients achieved normal blood glucose levels during the first weeks of pregnancy. In only about 20% of the pregnant diabetics without intensified preconceptional treatment a normal blood glucose level was obtained during their first hospitalization in pregnancy. The rate of congenital malformations was 1.1% in the former and 7.1% in the latter group.


2021 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Afdhila Istigfarin ◽  
Bambang Purwanto ◽  
Ashon Sa’adi

Abstract Background: The quality and quantity of sleep can affect blood glucose levels, so it is at risk of hyperglycemia. Hyperglycemia in women childbearing age can affect the cycle of menstruation and fertility. Based on previous research shows that more than half of students have poor sleep quality and found an increase in blood glucose levels in students who sleep less than 7 hours. This study aims to analyze the relationship between quality and quantity of sleep with blood glucose levels in women of childbearing age. Methods: This research method was observational analytic with cross sectional design. The number of samples was 43 students with a purposive sampling technique. The independent variable is the quality and quantity of sleep measured using the PSQI questionnaire, while the dependent variable is the blood glucose level which is checked during fasting for at least 8 hours. Analysis using the spearman rho statistical test. Results: The results showed that 27.9% of students had good sleep quality, including 4.6% with low blood glucose levels and 23.3% with normal blood glucose levels. 72.1% of students have poor sleep quality, including 65.1% with normal blood glucose levels and 7% with high blood glucose levels. The results of the analysis between sleep quality with blood glucose levels obtained rs = 0.345 and p value = 0.023, while the quantity of sleep with blood glucose levels obtained rs = 0.359 and p value = 0.018. Conclusions: The quality and quantity of sleep is significantly associated with blood glucose levels. Women childbearing age should maintain quality and quantity of sleep to prevent increased blood glucose levels. Health workers need to pay attention to the quality and quantity of patient’s sleep especially in women childbearing age.  


The Lancet ◽  
1983 ◽  
Vol 321 (8318) ◽  
pp. 200-204 ◽  
Author(s):  
Torsten Lauritzen ◽  
Hans-Walther Larsen ◽  
Kim Frost-Larsen ◽  
Torsten Deckert ◽  
The Steno Study Group

PLoS ONE ◽  
2018 ◽  
Vol 13 (6) ◽  
pp. e0199051 ◽  
Author(s):  
Rima Abdul Razzak ◽  
Abdulla Faisal Alshaiji ◽  
Abdulrahman Ahmed Qareeballa ◽  
Mohamed Wael Mohamed ◽  
Jeff Bagust ◽  
...  

2015 ◽  
Vol 101 (6) ◽  
pp. 569-574 ◽  
Author(s):  
Maria Güemes ◽  
Sofia A Rahman ◽  
Khalid Hussain

Glucose is the key metabolic substrate for tissue energy production. In the perinatal period the mother supplies glucose to the fetus and for most of the gestational period the normal lower limit of fetal glucose concentration is around 3 mmol/L. Just after birth, for the first few hours of life in a normal term neonate appropriate for gestational age, blood glucose levels can range between 1.4 mmol/L and 6.2 mmol/L but by about 72 h of age fasting blood glucose levels reach normal infant, child and adult values (3.5–5.5 mmol/L). Normal blood glucose levels are maintained within this narrow range by factors which control glucose production and glucose utilisation. The key hormones which regulate glucose homoeostasis include insulin, glucagon, epinephrine, norepinephrine, cortisol and growth hormone. Pathological states that affect either glucose production or utilisation will lead to hypoglycaemia. Although hypoglycaemia is a common biochemical finding in children (especially in the newborn) it is not possible to define by a single (or a range of) blood glucose value/s. It can be defined as the concentration of glucose in the blood or plasma at which the individual demonstrates a unique response to the abnormal milieu caused by the inadequate delivery of glucose to a target organ (eg, the brain). Hypoglycaemia should therefore be considered as a continuum and the blood glucose level should be interpreted within the clinical scenario and with respect to the counter-regulatory hormonal responses and intermediate metabolites.


2021 ◽  
Vol 8 ◽  
Author(s):  
Luming Zhang ◽  
Zichen Wang ◽  
Fengshuo Xu ◽  
Didi Han ◽  
Shaojin Li ◽  
...  

Background: Diabetes mellitus (DM) has a high morbidity and mortality worldwide, and it is a risk factor for cardiovascular diseases. Non-diabetic stress hyperglycemia is common in severely ill patients, and it could affect prognosis. This study aimed to analyze the influence of different blood glucose levels on prognosis from the perspective of stress hyperglycemia by comparing them with normal blood glucose levels and those of patients with DM.Methods: A retrospective study of 1,401 patients in coronary care unit (CCU) from the critical care database called Medical Information Mart for Intensive Care IV was performed. Patients were assigned to the following groups 1–4 based on their history of DM, random blood glucose, and HbA1c levels: normal blood glucose group, moderate stress hyperglycemia group, severe stress hyperglycemia group and DM group. The main outcome of this study was 30- and 90-day mortality rates. The associations between groups and outcomes were analyzed using Kaplan–Meier survival analysis, Cox proportional hazard regression model and competing risk regression model.Results: A total of 1,401 patients in CCU were enrolled in this study. The Kaplan–Meier survival curve showed that group 1 had a higher survival probability than groups 3 and 4 in terms of 30- and 90-day mortalities. After controlling the potential confounders in Cox regression, groups 3 and 4 had a statistically significant higher risk of both mortalities than group 1, while no difference in mortality risk was found between groups 2 and 1. The hazard ratios [95% confidence interval (CI)] of 30- and 90-day mortality rates for group 3 were 2.77(1.39,5.54) and 2.59(1.31,5.12), respectively, while those for group 4 were 1.92(1.08,3.40) and 1.94(1.11,3.37), respectively.Conclusions: Severe stress hyperglycemia (≥200 mg/dL) in patients without DM in CCU may increase the risk of short-term death, which is greater than the prognostic effect in patients with diabetes. Patients with normal blood glucose levels and moderate stress hyperglycemia (140 mg/dL ≤ RBG &lt;200 mg/dL) had no effect on short-term outcomes in patients with CCU.


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