Circulatory System Digestive System Nutritional, Metabolic, Endocrine
Conditions
Interventions
Nutrition Education with Message Framing Intervention
Sponsors
Cardiometabolic Epidemiology Research Laboratory
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1.People who have not been previously diagnosed with prediabetes or diabetes and are willing to participate in the study. 2. People between the ages of 25 years and 70 years. 3. People who have given informed consent to the study.
Exclusion criteria
Exclusion criteria: 1. Pregnant women and breastfeeding mothers. 2. Individuals with pre-existing diabetes (either type 1 or type 2). 3. Individuals with a BMI below 18.5 kg/m². 4. Individuals with anemia. 5. People who do not consent to participate in the study. 6. People on high cholesterol medications.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Compliance to a nutrition education intervention significantly improves cardiometabolic outcomes specifically, blood glucose levels, lipid profiles, Body Mass Index BMI and blood pressure in an African population with abnormal glucose tolerance. This outcome seeks to assess the difference in cardiometabolic health parameters before and after the nutrition education has been completed by the participants and at the same time to ascertain which type of message framing among the three groups led to more improved cardiometabolic health outcomes. The dependent variable in this outcome is the cardiometabolic health outcomes of the participants, and the independent variable is the nutrition education message framing. To analyze this, multinomial regression analysis will be used on three cardiometabolic outcomes: BMI, blood glucose levels and blood pressure. Where the last cardiometabolic outcome, which is lipid profile, will be analyzed using linear regression. Nutrition education message framing which is the independent variable will be categorized at three levels (Positive-framed, Negative-framed and non-frame) respectively and dependent variables like BMI will be categorized into groups "Normal Weight," "Overweight," and "Obese." Blood glucose levels will be categorized into normal, prediabetes and diabetes, blood pressure will also be categorized into normal, prehypertension and hypertension. Linear regression will be used to analyze the impact of Nutrition Education Message Framing on lipid profile which will be measured on a continuous scale. | — |
Secondary
| Measure | Time frame |
|---|---|
| Sociodemographic characteristics will moderate the effect of nutrition education compliance on cardiometabolic health outcomes among African population with abnormal glucose tolerance. The purpose is to examine whether the combined influence of sociodemographic characteristics and nutrition education compliance has a significant impact on cardiometabolic health outcomes. This outcome suggests that considering both sociodemographic factors and adherence to nutrition education may provide a more comprehensive understanding of their collective effect on health. Analysis will be done using Multinomial Regression and linear regression. Where data on sociodemographic characteristics (educational level, wealth status and age), nutrition education compliance, and cardiometabolic health outcomes will be defined and operationalized. For nutrition education compliance, a binary variable indicating adherence or non-adherence will be most appropriate. And linear regression analysis will be done on the lipid profile which is on a continuous scale (LDL, HDL, Total cholesterol) against the independent variables. | — |
Countries
Ghana
Contacts
Public ContactEdward Wilson Ansah
Senior Lecturer
Outcome results
None listed