scholarly journals Waist-Hip Circumference Ratio as Strongest Factor Correlation with Blood Glucose Level

2018 ◽  
Vol 6 (3) ◽  
pp. 219
Author(s):  
Mitha - Karimah

Background: Prevalence of obesity in Indonesia, was increase especially for pre- elderly to elderly which age group 55-64 years of the highest obesity. Insulin resistance that occurs in the obese group can lead to a decrease in insulin work that causes increased glucose levels.Purpose: Aim of the research was to know the correlation between waist-hip circumference ratio and body mass index with blood glucose level. Methods: The study design was cross sectional.  Respondents of this study were 36 elderly with aged beetwen 46-70 years who were registered in elderly posyandu. Sampling used simple random sampling techniques. The variabels of this study were the body mass index, waist-hip circumference ratio and fasting blood glucose level. Data were analyzed using pearson correlation test with a signifi cance level (α) = 0,05. Results: This research showed that, based on body mass index, most of respondents fall into overweight 2 category by 36,10%, abdominal obesity based on waist hip circumference ratio by 63,90% and blood glucose level more than 125 mg/dl by 25%. The result of pearson correlation test showed that there was relationship between waist-hip circumference ratio with blood glucose levels which statistically proved p < 0.05 (p = 0.01; r = 0.486). There was no  relationship between mass index with blood glucose levels which statistically proved p > 0.05  (p = 0.316; r = 0.172).  Conclusion: Waist-hip circumference ratio as strongest factor correlation with blood glucose level when compared with body mass index.

Author(s):  
Md Imam Hossain ◽  
Md. Shariful Islam ◽  
Mirza Rokibul Hasan ◽  
Moriom Akter ◽  
Md. Sadek Hosen Khoka

Background: In resource-limited countries like Bangladesh, there is a scarcity of epidemiological researches examining the relationship of blood glucose level with hypertension and BMI among the graduate level students. This research was therefore undertaken to evaluate fasting blood glucose levels of Mawlana Bhashani Science and Technology University students and to check its associations with sex, body mass index (BMI) and hypertension. Methods: For the study the 240 students (120 male and 120 female) were randomly selected. The demographic data of the study subjects were collected by interviewing the subjects with standardized questionnaires. Their fasting blood glucose levels were measured using portable blood glucose meter. The BMI and blood pressure of the subjects were also recorded following standard protocol. Finally the data were analyzed with SPSS software. Results: The fasting blood glucose levels of the study subjects indicated that 0.4% of subjects were diabetic and, 5.4% of subjects were pre-diabetic. The blood glucose levels (mean±SE) of female subjects (4.88±0.07) were higher than that of the male (4.61±0.04) subjects. The mean blood glucose levels of hypertensive subjects (4.81±0.07 mmol/L) were higher than that of the normotensive counterpart (4.73±0.05 mmol/L). The fasting blood glucose levels shows significant positive associations with SBP (r=0.155, p<0.05) and DBP (r=0.149, p<0.05).The fasting blood glucose levels also showed a significant positive association with the BMI (r=0.193, p<0.01) of the subjects. Conclusions: This study reveals the diabetic and hypertension status of the Bangladeshi graduate level students. The result of the study is very important in the context of public concern health of Bangladesh.  


2021 ◽  
Vol 8 (9) ◽  
pp. 338-344
Author(s):  
Melani Razuli ◽  
Afriwardi . ◽  
Fika Tri Anggraini

Premenopause is a transitional period that occurs due to decreased generative or endocrine function of the ovaries. In premenopausal women, there is a decrease in estrogen hormone levels and an increase in Body Mass Index (BMI) so that it will increase the risk of diabetes mellitus which is one of the four priority non-communicable diseases. The incidence of diabetes mellitus in women is much higher when compared to men. The research was conducted in the city of Padang, with an observational, cross-sectional design. The sampling technique used was multistage random sampling with a sample of 99 premenopausal women. The estradiol level was assessed by ELISA method, BMI was assessed by weight (kg) divided by height (m) squared, fasting blood glucose level was assessed by the enzymatic photometric method. The correlation between estradiol levels and fasting blood glucose levels was analyzed by using the Pearson Correlation test. The correlation between BMI and fasting blood glucose levels was analyzed by using the Pearson Correlation test. The mean of estradiol level was (148,689±49,417) pg/ml. Average Body Mass Index (BMI) was included in the Obese category I (26.5 kg/m2). The mean fasting blood glucose level was (98,766±6,549) mg/dL. There is a correlation between estradiol levels and fasting blood glucose levels (p value = 0.007 and r value = 0.270). In addition, there is a correlation between BMI and fasting blood glucose levels (p value = 0.023). The conclusion of this study is that there is a significant correlation between estradiol levels and fasting blood glucose. There is a significant correlation between BMI and fasting blood glucose Keywords: Estradiol Levels, Body Mass Index, Fasting Blood Glucose Levels, Premenopause.


Trials ◽  
2022 ◽  
Vol 23 (1) ◽  
Author(s):  
Tao Yuan ◽  
Hongyu He ◽  
Yuepeng Liu ◽  
Jianwei Wang ◽  
Xin Kang ◽  
...  

Abstract Background Blood glucose levels that are too high or too low after traumatic brain injury (TBI) negatively affect patient prognosis. This study aimed to demonstrate the relationship between blood glucose levels and the Glasgow Outcome Score (GOS) in TBI patients. Methods This study was based on a randomized, dual-center, open-label clinical trial. A total of 208 patients who participated in the randomized controlled trial were followed up for 5 years. Information on the disease, laboratory examination, insulin therapy, and surgery for patients with TBI was collected as candidate variables according to clinical importance. Additionally, data on 5-year and 6-month GOS were collected as primary and secondary outcomes, respectively. For multivariate analysis, a generalized additive model (GAM) was used to investigate relationships between blood glucose levels and GOS. The results are presented as odds ratios (ORs) with 95% confidence intervals (95% CIs). We further applied a two- piecewise linear regression model to examine the threshold effect of blood glucose level and GOS. Results A total of 182 patients were included in the final analysis. Multivariate GAM analysis revealed that a bell-shaped relationship existed between average blood glucose level and 5-year GOS score or 6-month GOS score. The inflection points of the average blood glucose level were 8.81 (95% CI: 7.43–9.48) mmol/L considering 5-year GOS as the outcome and were 8.88 (95% CI 7.43−9.74) mmol/L considering 6-month GOS score as the outcome. The same analysis revealed that there was also a bell relationship between average blood glucose levels and the favorable outcome group (GOS score ≥ 4) at 5 years or 6 months. Conclusion In a population of patients with traumatic brain injury, blood glucose levels were associated with the GOS. There was also a threshold effect between blood glucose levels and the GOS. A blood glucose level that is either too high or too low conveys a poor prognosis. Trial registration ClinicalTrials.gov NCT02161055. Registered on 11 June 2014.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Mrs. Vanitha. S s ◽  
Dr. Pramjit kaur

Challenges in lifestyle, such as increasesin energy intake and decreasesin physical activity are causing overweight and obesity leading to epidemic increases in type II Diabetes Mellitus. The research approach used for this study was evaluative approach and the research design was true experimental design. 60 patients with type II diabetes, 30 in experimental group and 30 in control group were selected for this study by using purposive sampling technique. Data was collected with the help of self-structured interview schedule. Descriptive statistics (frequency, percentage, mean and standard deviation) and inferential statistics (chi-square, paired ‘t’ test) were used to analyse the data and to test the hypotheses. In the experimental group,the pre-test mean score was 2.966, mean percentage was 59% and standard deviation was 1.129 and in post-testmean score was 2.533, mean percentage was 50.66% and standard deviation was 1.074 with effectiveness of 8.34% and paired‘t’ test value of t=3.971,which was statistically significant (p<0.05) which is an evidence ofthe effectiveness of Amla juice in reducing blood glucose level. Comparison of blood glucose levels in experimental and control groups, shows that the value is statistically highly significant, as was observed from the unpaired ‘t’ test value of 13.39 with P value of <0.05, which is an evidence indicatingthe effect of Amla juice in reducing postprandial blood glucose levels. The resultsfound that the administration of Amla juice did have aneffect in reducing blood glucose level in the experimental group. By comparing the findings of pre-test and post test between the experimental group and the control group,the effect was identified (assessed). The study concluded that the Amlajuice is effective in reducing blood glucose level.


2021 ◽  
Vol 5 (1) ◽  
pp. 14-25
Author(s):  
Nurul Fadhilah ◽  
Erfiani Erfiani ◽  
Indahwati Indahwati

The calibration method is an alternative method that can be used to analyze the relationship between invasive and non-invasive blood glucose levels. Calibration modeling generally has a large dimension and contains multicolinearities because usually in functional data the number of independent variables (p) is greater than the number of observations (p>n). Both problems can be overcome using Functional Regression (FR) and Functional Principal Component Regression (FPCR). FPCR is based on Principal Component Analysis (PCA). In FPCR, the data is transformed using a polynomial basis before data reduction. This research tried to model the equations of spectral calibration of voltage value excreted by non-invasive blood glucose level monitoring devices to predict blood glucose using FR and FPCR. This study aimed to determine the best calibration model for measuring non-invasive blood glucose levels with the FR and FPCR. The results of this research showed that the FR model had a bigger coefficient determination (R2) value and lower Root Mean Square Error (RMSE) and Root Mean Square Error Prediction (RMSEP) value than the FPCR model, which was 12.9%, 5.417, and 5.727 respectively. Overall, the calibration modeling with the FR model is the best model for estimate blood glucose level compared to the FPCR model.


Author(s):  
Aishwarya Pramod Benkar ◽  
Smita Bhimrao Kanase

Objective: Diabetes mellitus is a leading cause of death and disability in the world and its prevalence is predicted to rise to 10% by 2030. Hence, this study is conducted with objectives to find out the effect of aerobic exercises and resisted exercises on blood glucose levels in type 2 diabetes mellitus (T2DM) subjects and to compare the effect of both exercises on blood glucose level.Method: The comparative study was conducted at Krishna Institute of Medical Sciences Deemed University, Physiotherapy department, Karad. 30 participants with age group between 30 and 65 years were taken. Subjects were selected as per inclusion and exclusion criteria. Group A (15) participants were given aerobic exercise on static bicycle, and Group B (15) participants were given resistance training using dumbbells and weight cuffs for 5 days/week for 4 weeks. Diet recommendations were given to every participant.Results: Statistical analysis was performed using paired and unpaired t-test. Analysis showed statistically extremely significant difference in fasting blood glucose level and postprandial blood glucose level in both the groups (p≤0.0001).Conclusion: Thus, this study concludes that both aerobic exercises and resistance training prove to be beneficial in controlling blood glucose levels in T2DM subjects.


1966 ◽  
Vol 52 (3) ◽  
pp. 357-367 ◽  
Author(s):  
Claus Rerup ◽  
Ingmar Lundquist

ABSTRACT Multiple serial blood glucose level determinations in individual mice were performed on small blood samples (10–25 μl) using the orbital bleeding technique. Glucose was determined specifically by a known enzymatic reaction. Blood glucose determined in this way was found a parameter of high reproducibility and precision, the latter being shown by the finding that differences between individual animals were highly significant in practically all the experiments. The standard deviation of the single measurement in normal mice was ± 8.2 mg/100 ml as determined from 600 samples, which indicated that the technique allows of the detection of blood sugar level changes of about 15 mg/100 ml or more with very high significance, in a group of 5 mice. In the sampling procedure as such, intravenous or subcutaneous saline injections did not necessarily have any effect on the blood glucose level, but interpretation of slight blood sugar changes under experimental conditions should always be based on a comparison with control groups, since the latter may sometimes show a slight but significant change. In normal non-fasting mice (NMRI strain) significant differences in homoeostatic blood glucose level adjustments were demonstrated. In acutely adrenalectomized mice blood glucose levels were lower and more variable than in normals. Alloxan injection (70 mg/kg) was followed in individual mice by a triphasic blood sugar response, as is known from other species.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Nadia Haleem ◽  
Sarwat Abbasi ◽  
Mohammad Idress ◽  
Zahid Irfan Marwat ◽  
Saadia Sadiq ◽  
...  

Background: Obesity is a global challenge all over the world. Body mass index is a good marker to measure the adiposity. Obesityis one of the important risk factors for type 2 diabetes mellitus. Normal random blood glucose levels are closely regulated in healthwith a normal range of 4.4-7.8mmol/l (79-140mg/dl), despite the varying demands of food, exercise and fasting. Many diabeticpatients are obese and studies suggest a strong association between the two.Objective: To find an association of BMI with blood glucose level in undergraduate healthy students of Ayub Medical CollegeMaterial and Methods: This cross-sectional study was carried out in 2018, capillary blood samples were collected from 152students of Ayub Medical College Abbottabad to evaluate blood glucose level by Accu chek softclix® lancing device and Accu chekglucometer®, BMI was calculated by the formula (weight in kg/ height in meters squared). Data was collected and analyzed bySPSS version 23.Results: Total 152 (100%) healthy participants with 84 (55.3%) males and 68 (44.7%) females included in this study. Their ageswere ranged from 18-25 with a mean age of 21.02 years (min 17 max 26) having a standard deviation of 1.75. By taking thecorrelation between two parameters i.e. body mass index and serum random blood glucose level by Pearson product of moment(p=.214, r=101) a non-significant result was found.Conclusion: It is concluded that there is no significant association found between two parameters (BMI and serum BGL) in healthyyoung adults.


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