scholarly journals The Effect of a Customized Nutrient-Profiling Approach on the Glycated Hemoglobin Levels of Patients With Type 2 Diabetes: Quasi-Experimental Study (Preprint)

2019 ◽  
Author(s):  
Mayda Alrige ◽  
Riad Alharbey ◽  
Samir Chatterjee
Keyword(s):  
Type 2 Diabetes ◽  
Experimental Study ◽  
Nutritional Value ◽  
Dietary Habits ◽  
Glycated Hemoglobin ◽  
Intervention Group ◽  
Dietary Management ◽  
Nutrient Profiling ◽  
Quasi Experimental

BACKGROUND Presently, dietary management approaches are mostly oriented toward using calorie-counting and diet-tracking tools that draw our attention away from the nutritional value of our food. To improve individuals’ dietary behavior, primarily that of people with type 2 diabetes, a simple technique is needed to increase their understanding of the nutritional content of their food. OBJECTIVE This study aimed to design, develop, and evaluate a customized nutrient-profiling tool called <i>EasyNutrition</i>. <i>EasyNutrition</i> was built to introduce the new concept of nutrient profiling by applying the Intelligent Nutrition Engine, an algorithm that we developed for ranking different food recipes based on their nutritional value. This study also aimed to investigate the efficacy of <i>EasyNutrition</i> in lowering glycated hemoglobin (HbA<sub>1c</sub>) levels and improving dietary habits among people with type 2 diabetes. METHODS We evaluated the utility of <i>EasyNutrition</i> using design science research in three sequential stages. This paper has elaborated on the third stage to investigate the efficacy of <i>EasyNutrition</i> in managing type 2 diabetes. A quasi-experimental study was conducted in a diabetes treatment center (n=28). The intervention group utilized <i>EasyNutrition</i> over 3 months, whereas participants in the control group utilized the standard of care provided by the center. Dietary habits and HbA<sub>1c</sub> levels were measured to capture any change before and after experimenting with <i>EasyNutrition</i>. RESULTS The intervention group (n=9) exhibited a statistically significant change between the pre- and postexposure results of their HbA<sub>1c</sub> (<i>t</i><sub>9</sub>=2.427; <i>P</i>=.04). Their HbA<sub>1c</sub> dropped from 8.13 to 6.72. This provided preliminary evidence of the efficacy of using a customized nutrient-profiling app in reducing HbA<sub>1c</sub> for people with type 2 diabetes. CONCLUSIONS This study adds to the evidence base that a nutrient-profiling strategy may be a modern adjunct to diabetes dietary management. In conjunction with reliable dietary education provided by a registered dietician, <i>EasyNutrition</i> may have some beneficial effects to improve the dietary habits of people with type 2 diabetes.

scholarly journals The Effect of a Customized Nutrient-Profiling Approach on the Glycated Hemoglobin Levels of Patients With Type 2 Diabetes: Quasi-Experimental Study

10.2196/15497 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e15497
Author(s):  
Mayda Alrige ◽  
Riad Alharbey ◽  
Samir Chatterjee
Keyword(s):  
Type 2 Diabetes ◽  
Nutritional Value ◽  
Dietary Habits ◽  
Glycated Hemoglobin ◽  
Intervention Group ◽  
Dietary Management ◽  
Nutrient Profiling ◽  
Quasi Experimental ◽  
Hba1c Levels

Background Presently, dietary management approaches are mostly oriented toward using calorie-counting and diet-tracking tools that draw our attention away from the nutritional value of our food. To improve individuals’ dietary behavior, primarily that of people with type 2 diabetes, a simple technique is needed to increase their understanding of the nutritional content of their food. Objective This study aimed to design, develop, and evaluate a customized nutrient-profiling tool called EasyNutrition. EasyNutrition was built to introduce the new concept of nutrient profiling by applying the Intelligent Nutrition Engine, an algorithm that we developed for ranking different food recipes based on their nutritional value. This study also aimed to investigate the efficacy of EasyNutrition in lowering glycated hemoglobin (HbA1c) levels and improving dietary habits among people with type 2 diabetes. Methods We evaluated the utility of EasyNutrition using design science research in three sequential stages. This paper has elaborated on the third stage to investigate the efficacy of EasyNutrition in managing type 2 diabetes. A quasi-experimental study was conducted in a diabetes treatment center (n=28). The intervention group utilized EasyNutrition over 3 months, whereas participants in the control group utilized the standard of care provided by the center. Dietary habits and HbA1c levels were measured to capture any change before and after experimenting with EasyNutrition. Results The intervention group (n=9) exhibited a statistically significant change between the pre- and postexposure results of their HbA1c (t9=2.427; P=.04). Their HbA1c dropped from 8.13 to 6.72. This provided preliminary evidence of the efficacy of using a customized nutrient-profiling app in reducing HbA1c for people with type 2 diabetes. Conclusions This study adds to the evidence base that a nutrient-profiling strategy may be a modern adjunct to diabetes dietary management. In conjunction with reliable dietary education provided by a registered dietician, EasyNutrition may have some beneficial effects to improve the dietary habits of people with type 2 diabetes.

scholarly journals Nursing-Intense Health Education Intervention for Persons with Type 2 Diabetes: A Quasi-Experimental Study

Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 832
Author(s):  
María Begoña Martos-Cabrera ◽  
José Luis Gómez-Urquiza ◽  
Guillermo Cañadas-González ◽  
José Luis Romero-Bejar ◽  
Nora Suleiman-Martos ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Experimental Study ◽  
Health Education ◽  
Intervention Group ◽  
Wilcoxon Test ◽  
Control Group ◽  
High Blood Glucose ◽  
Quasi Experimental ◽  
Hba1c Levels

Type 2 diabetes mellitus (DM2) is a highly prevalent disease, the progression of which depends on high blood glucose levels, which are reflected in the level of glycosylated haemoglobin (HbA1c). Appropriate health education equips patients with the knowledge and skills to control their glucose and HbA1c levels to avoid long-term complications. This study was set up to compare the results of an intensive (360 min) educational intervention to improve HbA1c parameters in patients with DM2 with those of a usual 90 min intervention. For this purpose, healthcare personnel led a quasi-experimental study of 249 diabetics: 171 in the control group, and 78 in the intervention group. In the control group, the mean HbA1c value decreased from 6.97 to 6.75, while in intervention group it fell from 8.97 to 8.06. The before and after mean difference between both groups was compared with a Wilcoxon test, and the results statistically significant (W = 4530; p < 0.001), indicating a higher reduction of HbA1c in the intervention group. We concluded that the intensive health education provided by nurses during the consultation helped improve HBA1c levels in persons with DM2.

scholarly journals Effectiveness of diabetes self-management education and support via a smartphone application in insulin-treated patients with type 2 diabetes: results of a randomized controlled trial (TRIGGER study)

2019 ◽  
Vol 7 (1) ◽  
pp. e000981 ◽  
Author(s):  
Anne Meike Boels ◽  
Rimke C Vos ◽  
Lioe-Ting Dijkhorst-Oei ◽  
Guy E H M Rutten
Keyword(s):  
Type 2 Diabetes ◽  
Dietary Habits ◽  
Management Education ◽  
Intervention Group ◽  
Self Management ◽  
Smartphone App ◽  
Control Group ◽  
Hypoglycemic Event ◽  
Randomized Controlled

ObjectiveTo investigate the effect of diabetes self-management education and support via a smartphone app in individuals with type 2 diabetes on insulin therapy.Research design and methodsOpen two-arm multicenter parallel randomized controlled superiority trial. The intervention group (n=115) received theory and evidence-based self-management education and support via a smartphone app (optionally two or six times per week, once daily at different times). The control group (n=115) received care as usual. Primary outcome: HbA1c at 6 months. Other outcomes included HbA1c ≤53 mmol/mol (≤7%) without any hypoglycemic event, body mass index, glycemic variability, dietary habits and quality of life. We performed multiple imputation and regression models adjusted for baseline value, age, sex, diabetes duration and insulin dose.ResultsSixty-six general practices and five hospital outpatient clinics recruited 230 participants. Baseline HbA1c was comparable between groups (8.1% and 8.3%, respectively). At 6 months, the HbA1c was 63.8 mmol/mol (8.0%) in the intervention vs 66.2 mmol/mol (8.2%) in the control group; adjusted difference −0.93 mmol/mol (−0.08%), 95% CI −4.02 to 2.17 mmol/mol (−0.37% to 0.20%), p=0.557. The odds for achieving an HbA1c level ≤7% without any hypoglycemic event was lower in the intervention group: OR 0.87, 95% CI 0.33 to 2.35. There was no effect on secondary outcomes. No adverse events were reported.ConclusionsThis smartphone app providing diabetes self-management education and support had small and clinically not relevant effects. Apps should be more personalized and target individuals who think the app will be useful for them.Trial registration numberNTR5515.

scholarly journals Motivational Interviewing to Improve Self-efficacy in Type 2 Diabetes Management

2020 ◽  
Author(s):  
Masumeh Hemmati Maslakpak ◽  
Naser Parizad ◽  
Amir Ghahremani ◽  
Vahid Alinejad
Keyword(s):  
Type 2 Diabetes ◽  
Motivational Interviewing ◽  
Self Efficacy ◽  
Diabetes Management ◽  
Intervention Group ◽  
Significant Difference ◽  
Before And After ◽  
Quasi Experimental ◽  
The Mean

Abstract Background Self-efficacy predicts adherence to treatment in patients with diabetes. Motivational interviewing could be a promising intervention to increase the patients’ motivation to follow therapeutic recommendations. The present study aimed to assess the effects of motivational interviewing on self-efficacy in type 2 diabetes management. Methods This quasi-experimental study with a pretest-posttest design was conducted on 60 patients with type 2 diabetes, who were members of the Bukan Diabetes Association in Iran. The patients were selected using a random number table and were randomly allocated into intervention (n = 30) and control (n = 30) groups. Five motivational interviewing sessions (30–45 minutes) were held for the intervention group (two sessions per week). Data were collected using a demographic questionnaire and the diabetes management self-efficacy scale (DMSES). Data were analyzed with SPSS software version 14.0 using descriptive and inferential statistics. Results Sixty patients entered the analysis. A significant difference was observed in the mean score of diabetes management self-efficacy between the two groups before and after the intervention (P = 0.014). The mean score of self-efficacy in diabetes management was increased significantly in the intervention group after MI (P = 0.001). Conclusions Motivational interviewing improved self-efficacy in diabetes management. Thus, this approach is recommended to be used in patients with type 2 diabetes in order to increase their self-efficacy.

scholarly journals Multimedia education to support management of type 2 diabetes patients. A quasi-experimental study

2019 ◽  
Vol 86 (5) ◽  
Author(s):  
Ignacio Pineda-del Aguila ◽  
Lubia Velázquez-López ◽  
M.ª Victoria Goycochea-Robres ◽  
Fabiola Angulo-Angulo ◽  
Jorge Escobedo-de la Peña
Keyword(s):  
Type 2 Diabetes ◽  
Experimental Study ◽  
Multimedia Education ◽  
Quasi Experimental ◽  
Diabetes Patients

scholarly journals Effect of physical exercise on metabolic control and risk factors in patients with type 2 diabetes mellitus: a quasi-experimental study

Medwave ◽  
2012 ◽  
Vol 12 (10) ◽  
pp. e5547-e5547
Author(s):  
Yisell Aguila Rodríguez ◽  
Belkis M. Vicente Sánchez ◽  
Guillermo A. Llaguno Pérez ◽  
José Fermín Sánchez Pedraza ◽  
Miriam Costa Cruz
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Experimental Study ◽  
Type 2 Diabetes Mellitus ◽  
Physical Exercise ◽  
Metabolic Control ◽  
Quasi Experimental
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