scholarly journals Blood glucose control and compliance of diabetic children

Curationis ◽  
1997 ◽  
Vol 20 (2) ◽  
Author(s):  
F. P. R. De Villiers ◽  
E. Chester ◽  
K. E. C. Meyers
Keyword(s):  
Blood Glucose ◽  
Diabetes Management ◽  
Demographic Data ◽  
Blood Glucose Control ◽  
Good Control ◽  
Glycosylated Haemoglobin ◽  
Diabetes Clinic ◽  
Paediatric Diabetes ◽  
The Past ◽  
Diabetic Children

Non-compliance is an important factor hindering good control in diabetics. The aim of this study was to identify areas of poor compliance with the diabetes management regimen in the children attending our clinic. A questionnaire was administered to 57 patients who attend the Paediatric Diabetes Clinic. It was designed to elicit socio-demographic data and information about the diabetic regimen. Prior to the administration of the questionnaire, patients were classified as being well, satisfactorily or poorly controlled, based on their average glycosylated Haemoglobin results over the past year.

scholarly journals Patient Markers of Successful Diabetes Management

2021 ◽  
Author(s):  
Amy T. Cunningham ◽  
Pouya Arefi ◽  
Alexzandra T. Gentsch ◽  
Geoffrey D. Mills ◽  
Marianna D. LaNoue ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Diabetes Management ◽  
Demographic Data ◽  
Secondary Analysis ◽  
Self Report ◽  
Structured Interviews ◽  
Successful Management ◽  
Patient Centered ◽  
Care Plans ◽  
Ed Visits

<b>Purpose.</b> For individuals with diabetes, diabetes health status may not align with A1C targets. Patients may use nonclinical targets when assessing their diabetes management success. Identifying these targets is important in developing patient-centered management plans. The purpose of this study was to identify patient markers of successful diabetes management among patients in an urban academic health system. <p><b>Methods. </b>A secondary analysis of semi-structured interviews was completed with 89 adults with type 1 or type 2 diabetes. Participants had a recent diabetes-related emergency department (ED) visits or hospitalization or were primary care patients with an A1C >7.5%. Interviews were conducted to saturation. Demographic data were collected via self-report and electronic medical records. Interviews were analyzed using conventional content analysis. This analysis focused on patient perceptions of successful management coded to “measuring management success.”</p> <p><b>Results.</b> Although most participants cited A1C or blood glucose as a marker of successful diabetes management, they had varied understanding of these metrics. Most used a combination of targets from the following categories: <i>1</i>) A1C, blood glucose, and numbers; <i>2</i>) engagement in medical care; <i>3</i>) taking medication and medication types; <i>4</i>) symptoms; <i>5</i>) diet, exercise, and weight; and <i>6</i>) stress management and social support.</p> <p><b>Conclusion. </b>Individuals not meeting glycemic goals and/or with recent diabetes-related ED visits or hospitalizations had varied understanding of A1C and blood glucose targets. They use multiple additional markers of successful management and had a desire for management discussions that incorporate these markers. These measures should be incorporated into their care plans along with clinical targets.</p>

scholarly journals Impact of Use Frequency of a Mobile Diabetes Management App on Blood Glucose Control: Evaluation Study (Preprint)

2018 ◽  
Author(s):  
Josep Vehi ◽  
Jordi Regincós Isern ◽  
Adrià Parcerisas ◽  
Remei Calm ◽  
Ivan Contreras
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Diabetes Management ◽  
Blood Glucose Control ◽  
Evaluation Study ◽  
High Blood Glucose ◽  
Group A ◽  
Control Evaluation ◽  
Group B ◽  
The Impact

BACKGROUND Technology has long been used to carry out self-management as well as to improve adherence to treatment in people with diabetes. However, most technology-based apps do not meet the basic requirements for engaging patients. OBJECTIVE This study aimed to evaluate the effect of use frequency of a diabetes management app on glycemic control. METHODS Overall, 2 analyses were performed. The first consisted of an examination of the reduction of blood glucose (BG) mean, using a randomly selected group of 211 users of the SocialDiabetes app (SDA). BG levels at baseline, month 3, and month 6 were calculated using the intercept of a regression model based on data from months 1, 4, and 7, respectively. In the second analysis, the impact of low and high BG risk was examined. A total of 2692 users logging SDA ≥5 days/month for ≥6 months were analyzed. The highest quartile regarding low blood glucose index (LBGI) and high blood glucose index (HBGI) at baseline (t1) was selected (n=74 for group A; n=440 for group B). Changes in HBGI and LBGI at month 6 (t2) were analyzed. RESULTS For analysis 1, baseline BG results for type 1 diabetes mellitus (T1DM) groups A and B were 213.61 (SD 31.57) mg/dL and 206.43 (SD 18.65) mg/dL, respectively, which decreased at month 6 to 175.15 (SD 37.88) mg/dL and 180.6 (SD 40.47) mg/dL, respectively. For type 2 diabetes mellitus (T2DM), baseline BG was 218.77 (SD 40.18) mg/dL and 232.55 (SD 46.78) mg/dL, respectively, which decreased at month 6 to 160.51 (SD 39.32) mg/dL and 173.14 (SD 52.81) mg/dL for groups A and B, respectively. This represents a reduction of estimated A1c (eA1c) of approximately 1.3% (P<.001) and 0.9% (P=.001) for T1DM groups A and B, respectively, and 2% (P<.001) for both A and B T2DM groups, respectively. For analysis 2, T1DM baseline LBGI values for groups A and B were 5.2 (SD 3.9) and 4.4 (SD 2.3), respectively, which decreased at t2 to 3.4 (SD 3.3) and 3.4 (SD 1.9), respectively; this was a reduction of 34.6% (P=.005) and 22.7% (P=.02), respectively. Baseline HBGI values for groups A and B were 12.6 (SD 4.3) and 10.6 (SD 4.03), respectively, which decreased at t2 to 9.0 (SD 6.5) and 8.6 (SD 4.7), respectively; this was a reduction of 30% (P=.001) and 22% (P=.003), respectively. CONCLUSIONS A significant reduction in BG was found in all groups, independent of the use frequency of the app. Better outcomes were found for T2DM patients. A significant reduction in LBGI and HBGI was found in all groups, regardless of the use frequency of the app. LBGI and HBGI indices of both groups tend to have similar values after 6 months of app use.

scholarly journals Correlation Between Blood Glucose Control And Decrease Of Peripheral Vascularization In Diabetes Mellitus Patient

2018 ◽  
Vol 4 (1) ◽  
pp. 18
Author(s):  
Fitria Endah Janitra ◽  
Dinda Sandika
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Glucose Control ◽  
Diabetes Management ◽  
Blood Glucose Control ◽  
Nursing Intervention ◽  
Tissue Ischemia ◽  
Control Blood Glucose ◽  
Glucose Levels ◽  
Blood Glucose Levels

Introduction: Diabetes mellitus (DM) is a metabolic disorder characterized by elevated blood glucose levels. Chronic complications of DM affect coronary circulation, peripheral vascularization, and blood vessels of the brain. Decrease in peripheral vascularization increases the risk of tissue ischemia and weakens functional status, therefore it is necessary to control blood glucose levels. Islam teaches to its believers to control their diet, where diet is one of the four pillars of diabetes management. Methodology: this is analytic descriptive research with cross sectional methods in 67 respondents taken by consecutive sampling technique. Results: There was a significant correlation within blood glucose control and decreased peripheral vascularization in DM patients (p-value 0.010). Discussion: need further research regarding nursing intervention to control blood glucose.

scholarly journals Whole foods and increased dietary fibre improve blood glucose control in diabetic children.

1982 ◽  
Vol 57 (3) ◽  
pp. 187-194 ◽  
Author(s):  
A L Kinmonth ◽  
R M Angus ◽  
P A Jenkins ◽  
M A Smith ◽  
J D Baum
Keyword(s):  
Blood Glucose ◽  
Glucose Control ◽  
Dietary Fibre ◽  
Blood Glucose Control ◽  
Diabetic Children ◽  
Whole Foods

scholarly journals The use of low-glycaemic index diets in diabetes control

2010 ◽  
Vol 104 (6) ◽  
pp. 797-802 ◽  
Author(s):  
D. E. Thomas ◽  
E. J. Elliott
Keyword(s):  
Blood Glucose ◽  
Glycaemic Control ◽  
Diabetes Management ◽  
Weighted Mean Difference ◽  
Blood Glucose Control ◽  
Glycaemic Index ◽  
Cochrane Library ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Improved Glycaemic Control

The aim of diabetes management is to normalise blood glucose levels since improved blood glucose control is associated with fewer complications. Food affects blood glucose levels; however, there is no universal approach to the optimal diabetic diet and there is controversy about the usefulness of the low-glycaemic index (GI) diet. To assess the effects of low-GI diets on glycaemic control in diabetes, we conducted electronic searches of the Cochrane Library, MEDLINE, EMBASE and CINAHL. We assessed randomised controlled trials (RCT) with interventions >4 weeks that compared a low-GI diet with a higher-GI diet for type 1 or type 2 diabetes. Twelve RCT (n612) were identified. There was a significant decrease in glycated Hb (HbA1c) with low-GI diet than with the control diet, indicating improved glycaemic control (seven trials,n457, weighted mean difference (WMD) − 0·4 % HbA1c, 95 % CI − 0·7, − 0·20,P = 0·001). In four studies reporting the results for glycaemic control as fructosamine, three of which were 6 weeks or less in duration, pooled data showed a decrease in fructosamine (WMD − 0·23 mmol/l, 95 % CI − 0·47, 0·00,P = 0·05),n141, with low-GI diet than with high-GI diet. Glycosylated albumin levels decreased significantly with low-GI diet, but not with high-GI diet, in one study that reported this outcome. Lowering the GI of the diet may contribute to improved glycaemic control in diabetes.

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