scholarly journals Control of Type II Diabetes, Its Relationship with Obesity and Basal Metabolic Rate

2019 ◽  
Vol 1 (1) ◽  
pp. 2-7
Author(s):  
Faiza Kamal ◽  
Rozina Arshad ◽  
Bilal Bin Younis ◽  
Rashid Ahmed ◽  
Zakia Noureen ◽  
...  

Background: The prevalence of T2DM is around 7-10%. Control of diabetes and factors influencing it in thirdworld countries need to be clearly defined as most of the people have poor glycemic control. Methods: A cross sectional study was conducted and purposive sampling was done to collect data for 5 months. Atotal of 766 type 2 diabetic patients were enrolled who visited SiDER (Sakina Institute of Diabetes and EndocrineResearch Center) at Shalamar Hospital, Lahore, Pakistan. Only pre-diagnosed diabetic subjects with a random bloodglucose of more than 200mg/dl at two occasions and fasting blood glucose levels more than 126mg/dl were includedin the study. Variables like Body Mass Index (BMI), Glycated Hemoglobin (HbA1c) and Basal Metabolic Rate(BMR) were recorded. The data was analyzed by SPSS 22 version. Results: A total of 766 diabetics were recruited in the study out of which 40.3% were male and 59.7% werefemales. The mean age was 48.72±10.43 years. Out of these 53.39% were obese, 32.64% were overweight and only13.97% had a normal body mass index BMI). HbA1c levels in the sample population showed that only 13.05% hadvery healthy control i.e. 7% or less. There was a positive co-relation between Body Mass Indexand glycemiccontrol. However there was no statistically significant relation between Basal Metabolic Rateand glycemic control. Conclusion: People with high Body Mass Index were found to have suboptimal glycemic control. It was alsoobserved that higher percentage of diabetic patients fall in age group of 41-55 years. More powerful studies areneeded to establish a relation between glycated hemoglobin and Basal Metabolic Rate.

2012 ◽  
Vol 8 (4) ◽  
pp. 375-380 ◽  
Author(s):  
Ricardo Cohen ◽  
Pedro Paulo Caravatto ◽  
Jose Luis Correa ◽  
Patricia Noujaim ◽  
Tarissa Zanata Petry ◽  
...  

2021 ◽  
Author(s):  
Reem Alqahtani ◽  
Sami Alzahrani ◽  
Moneerah Alhemedi ◽  
Asya Hawsa ◽  
Sarah Idris ◽  
...  

Abstract Objectives:To assess the levels and the associated demographic factors with diabetic self- management (DSM) among diabetic patients in Saudi Arabia. The impact of implementing DSM practices on glycemic control was additionally investigated.Results:The responses of 349 patients were analyzed (51.0% males and 37.2% obese). The median (IQR) raw DSMS score was 187 (165-205). Higher DSMS scores were reported for young adults (aged 20-29 years), insulin users, employed patients, as well as those with normal body mass index values and normal HbA1c results compared to their counterparts. Low HbA1c values were linearly associated with high scores of the healthy eating (β = -0.014, p=0.018) and physical activity subscales (β = 90-0.009, p=0.042).Keywords : Self-management; diabetes; glycemic control; Saudi Arabia.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 4998-4998
Author(s):  
Mohamed Abdelfatah ◽  
Ankit Anand ◽  
Zeyad Kanaan ◽  
Ali Al-Ameri ◽  
Nairmeen Haller

Abstract Background The incidence of obesity is increasing worldwide and is associated with numerous adverse health outcomes. Obesity was associated with more toxicity and worse prognosis in pediatric AML patients. On the other hand diabetic patients diagnosed with AML have multiple complications related to infection organ failure and chemotherapy side effects, Previous epidemiological studies in children have shown significant correlations in incidence between AML and DM in children. Aim To study Body-Mass Index (BMI) and uncontrolled DM impact on clinical outcome of adult AML pts. Methods A total of 187 adult pts with AML between 2002-2011 were enrolled. Retrospective data included demographics, labs, cytogenetics and outcome. LeukemiaNET Standardization (LNS), complete remission (CR), overall survival (OS) and relapse free survival (RFS) were obtained (Dohner E, Blood 2010). BMI of <18.5 defined as underweight, 25-30 was defined as overweight, while >30 as obesity. On the other hand Fasting blood glucose and Hemoglobin A1c were measured, DM severity was classified according to guidelines, as non diabetics (A1c)<5.7 and normal FBG<100, high risk for DM with (A1c) from (5.7 - 6.4) and uncontrolled DM (A1c) >6.5. Fischer's and Wilcoxon tests were used for comparatives between groups, cox proportional hazards and logistic regression for associations for OS/RFS and CR, Kaplan-Meier test for OS and RFS estimates via JMP software V9.0. IRB approval was obtained according to Helsinki declaration. Results The median age was 70 years, with 98 (52%) were men. 45 pts (24%) had complex cytogenetics, 28 pts (15%) had AML progressed from MDS. Median BMI was 28.7 (range 14.8-51.4). 10 (5%) were underweight, 34 (18%) had normal BMI, 59 (32%) were overweight, and 84 (45%) were obese. 149 pts (80%) were not Diabetic, 12 pts (6%) had high risk for DM, 26 pts (14%) uncontrolled DM. Overall Median OS was 23 weeks; 46 weeks in normal BMI, 30 weeks in overweight, 14 weeks in obese, 15 weeks in underweight, A according to DM subgroups; 24 weeks non-diabetics, 15 weeks had high risk for DM, 37 had uncontrolled DM. At diagnosis, BMI or Hemoglobin A1c classes were not associated with age, sex, white blood count (WBC), platelets, blasts, ECOG status, LNS; nor treatment toxicities. Even though median survival in weeks was lower in obese and underweight pts, Median OS and RFS were not different in univariate or across BMI subgroups (p=0.32 and 0.22) or Hemoglobin A1c subgroups (p=0.19 and 0.71) Conclusions BMI and uncontrolled DM did not show statistically significant correlation with LNS, relapse rates, OS or RFS. Disclosures: No relevant conflicts of interest to declare.


2006 ◽  
Vol 53 (3) ◽  
pp. 387-391 ◽  
Author(s):  
Masafumi KOGA ◽  
Soeko MATSUMOTO ◽  
Hiroshi SAITO ◽  
Soji KASAYAMA

2019 ◽  
Author(s):  
Ελένη Παυλίδου

Εισαγωγή: Οι εξισώσεις πρόβλεψης που χρησιμοποιούνται για την εκτίμηση των ενεργειακών απαιτήσεων μπορεί να αποδώσουν διαφορετικές τιμές βασικού μεταβολικού ρυθμού (Basal Metabolic Rate (BMR)) από αυτές που μετρώνται με έμμεση θερμιδομετρία (Indirect Calorimetry (IC)), καθιστώντας αναγκαία και ιδιαίτερα σημαντική την αξιολόγηση της αξιοπιστίας και της ακρίβειάς τους. Σκοπός: Η αξιολόγηση της συμφωνίας, μεταξύ των υπολογιζόμενων τιμών BMR (BMR (estimated ΒMR (BMRe)) με τη χρήση εξισώσεων και των μετρούμενων τιμών BMR (measurement BMR (ΒMRm)) με IC, καθώς και η διερεύνηση των παραγόντων που επηρεάζουν τη συμφωνία αυτή. Μέθοδος: Σε 383 συμμετέχοντες (105 άντρες και 278 γυναίκες), καυκάσιας φυλής, όλων των κατηγοριών Δείκτη Μάζας Σώματος (Body Mass Index (BMI)), καταγράφηκαν τα σωματομετρικά χαρακτηριστικά και μετρήθηκε o ΒMR με φορητή συσκευή IC Fitmate. Οι τιμές ΒMRm συγκρίθηκαν με τις τιμές ΒMRe των εξισώσεων Harris & Benedict, Roza & Shizgal, Schofield, Owen, FAO-WHO-UNU, Mifflin, HB Abbreviated και Harrington. Αποτελέσματα: Μεγαλύτερη προσέγγιση τιμών, προέκυψε από την εξίσωση Harrington (βασιζόμενη στο BMI, την ηλικία και το φύλο). Επίσης, οι εξισώσεις που χρησιμοποιούν παραμέτρους βάρους, ύψους, ηλικίας και φύλου παρουσίασαν μεγαλύτερη συμφωνία με τις μετρήσεις με IC, από τις εξισώσεις που χρησιμοποιούν ως αποκλειστικές παραμέτρους το βάρος και το φύλο. Το υψηλότερο μορφωτικό επίπεδο σχετίστηκε με φυσιολογικό BMI. Παρατηρήθηκε επίσης μια αντιστρόφως ανάλογη σχέση μεταξύ BMI και ΒMR και δημιουργήθηκε μία λογαριθμική εξίσωση υπολογισμού του ΒMR διαφοροποιούμενη ως προς τις κατηγορίες BMI με την ενσωμάτωση των μεταβλητών βάρους και φύλου. Συμπεράσματα: Μια καλύτερη συμφωνία μεταξύ των τιμών BMRe και BMRm μπορεί να επιτευχθεί μέσω της χρήσης του ΒΜΙ στις εξισώσεις πρόβλεψης. Η ηλικιακή ομάδα και οι μεταβλητές φύλου μπορούν επίσης να ασκήσουν σημαντικό ρόλο στην απόκριση μεροληψίας ορισμένων εξισώσεων BMR. Τα παρόντα ευρήματα συνέβαλαν στην καλύτερη κατανόηση των μετρούμενων παραμέτρων και επιβεβαίωσαν την αντίστροφη σχέση μεταξύ BMI και BMR καθώς και τη σχέση ανώτερου εκπαιδευτικού επιπέδου και φυσιολογικού ΒΜΙ.


2006 ◽  
Vol 9 (5) ◽  
pp. 651-657 ◽  
Author(s):  
Hitomi Okubo ◽  
Satoshi Sasaki ◽  
Naoko Hirota ◽  
Akiko Notsu ◽  
Hidemi Todoriki ◽  
...  

AbstractObjectiveTo examine relationships between the ratio of energy intake to basal metabolic rate (EI/BMR) and age and body mass index (BMI) among Japanese adults.DesignEnergy intake was assessed by 4-day semi-weighed diet records in each of four seasons (16 days in total). The EI/BMR ratio was calculated from reported energy intake and estimated basal metabolic rate as an indicator of reporting accuracy.SettingResidents in three areas in Japan, namely Osaka (urban), Nagano (rural inland) and Tottori (rural coastal).SubjectsOne hundred and eighty-three healthy Japanese men and women aged ≥30 years.ResultsThe oldest age group (≥60 years) had higher EI/BMR values than the youngest age group (30–39 years) in both sexes (1.74 vs. 1.37 for men; 1.65 vs. 1.43 for women). In multiple regression analyses, age correlated positively (partial correlation coefficient, β = 0.012, P < 0.001 for men; β = 0.011, P < 0.001 for women) and BMI correlated negatively (β = −0.031, P < 0.001 for men; β = −0.025, P < 0.01 for women) with EI/BMR.ConclusionAge and BMI may influence the relative accuracy of energy intake among Japanese adults.


2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Wondimeneh Shibabaw Shiferaw ◽  
Tadesse Yirga Akalu ◽  
Yared Asmare Aynalem

Background. Mortality and morbidity in patients with diabetes mellitus (DM) are attributed to both microvascular and macrovascular complications. However, there is a significant amount of variation in the primary studies on DM regarding the prevalence of erectile dysfunction (ED) in Africa. Therefore, this study was aimed to estimate the pooled prevalence of ED patients with DM and its association with body mass index (BMI) and glycated hemoglobin in Africa. Methods. PubMed, Web of Science, Cochrane Library, Scopus, PsycINFO, African Journals Online, and Google Scholar were searched for studies that looked at ED in DM patients. A funnel plot and Egger’s regression test were used to determine publication bias. The I2 statistic was used to check heterogeneity between the studies. DerSimonian and Laird random-effects model was applied to estimate the pooled effect size. The subgroup and meta-regression analyses were conducted by country, sample size, and year of publication. Sensitivity analysis was deployed to see the effect of a single study on the overall estimation. STATA version 14 statistical software was used for the meta-analysis. Result. A total of 13 studies with 3,501 study participants were included in this study. We estimated that the pooled prevalence of ED in patients with DM in Africa was 71.45% (95% CI: 60.22–82.69). Diabetic patients whose BMI was ≥30 kg/m2 were 1.26 times more likely to develop ED (AOR = 1.26; 95% CI: 0.73–2.16) and whose glycated hemoglobin was <7% were 7% less likely to develop ED (AOR = 0.93; 95% CI: 0.5–5.9), although they were not significantly associated with ED. Conclusions. The prevalence of ED in DM patients in Africa remains high. Therefore, situation-based interventions and country context-specific preventive strategies should be developed to reduce the prevalence of ED among patients with DM.


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