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| Name | Class |
|---|---|
| University of Rwanda | OTHER |
| Institut de Recherche en Sciences de la Sante, Burkina Faso | OTHER_GOV |
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Policy makers in Rwanda have recently highlighted the importance of promoting healthy diets and lifestyle in response to rapidly increasing rates of obesity. This project will provide evidence on shifts in diet and nutritional status in urban dwellers as compared to the traditional diet and lifestyle in rural areas as a basis for a targeted public health policy for Rwanda.
Adequate diet has been known for many years to be a major lever to significantly decrease the risk for non-communicable diseases (NCD). However, mainly due to urbanization and improved economic status in low and middle income countries (LMICs), the traditional largely plant-based diets are being replaced by more energy-dense and nutrient poor diets, incorporating more animal foods and processed foods and fat, and with a decrease in consumption of fruits and vegetables and other plant based foods. This diet change together with a sedentary lifestyle are typical phenomena in LMICs that are driving the so-called nutrition transition that is typically accompanied by an increase in obesity and in NCD like metabolic syndrome, diabetes, cardiovascular diseases and cancer. In Rwanda, NCD lead to 36% of total deaths. Cancers, diabetes, cardiovascular diseases, and chronic respiratory diseases account for 82% of NCD deaths. The major risk factor is the raised blood pressure (34.4%) and the probability of dying between ages 30 and 70 years from those four main NCD is estimated to 19%.
The Government of Rwanda has installed an operational NCD unit in the Ministry of Health with a view to developing preventive strategies vis-Ã -vis the nutrition transition process in the country. It has been shown already that there is a need for adopting dietary behaviour change to prevent the epidemic of chronic diseases.
The aim of this PhD work is to contribute in generating evidence needed to develop targeted prevention strategies for NCD in a broader framework of informed health policy making in Rwanda.
Specific objectives:
The data collected in a cross sectional study design. Validated questionnaires will be used to get information on socio-economic characteristics, dietary practices, physical activity, other lifestyle factors and psycho-social and emotional indicators.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Urban | Young adults living in urban communities of Rwanda |
| |
| Rural | Young adults living in rural communities of Rwanda |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Dietary habits | Other | Data collected using food frequency questionnaire |
| |
| Measure | Description | Time Frame |
|---|---|---|
| Prevalence of the different dietary patterns | Dietary patterns will be identified using exploratory factor analysis on the food groups collected using the semi-quantitative Food Frequency Questionnaire. The dietary pattern identified will differ from plant_based diet and legume_based diet to western diet. | Through study completion (an average of 6 months) |
| Prevalence of large waist circumference | Large waist circumference [> 89 centimeters for women and >102 centimeters for men] | Through study completion (an average of 6 months) |
| Prevalence of high triglyceride concentrations | High triglyceride level [>150 milligrams per deciliter (mg/dL)] | Through study completion (an average of 6 months) |
| Prevalence of high-density lipoprotein (HDL) cholesterol | Reduced high-density lipoprotein (HDL) cholesterol [< 40 mg/dL in men or < 50 mg/dL in women] | Through study completion (an average of 6 months) |
| Prevalence of high blood pressure | Increased blood pressure [> 130/85 mm Hg] | Through study completion (an average of 6 months) |
| Prevalence of high levels of fasting blood sugar | Elevated fasting blood sugar [>100 mg/dL] | Through study completion (an average of 6 months) |
| Prevalence of participants with nutrition knowledge |
| Measure | Description | Time Frame |
|---|---|---|
| Prevalence of Food Insecure Households | The Household Food Insecurity Access (HFIA) Score is a continuous measure of the degree of food insecurity in the household and is based on a set of questions that encompass three domains of food insecurity: (1) anxiety and uncertainty about the household food supply; (2) insufficient quality; and (3) insufficient food intake and its physical consequences (Coates et al. 2007). Each household receives a score from 0-27 based on a simple sum of the frequency of occurrence of each food insecurity condition, where 'never' = 0 points, 'rarely' = 1 point, 'sometimes' = 2 points, and 'often' = 3 points. The higher the score, the higher the degree of household food insecurity experienced in the previous four weeks. |
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Inclusion Criteria:
Exclusion Criteria:
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Participants will be selected randomly from the general population. Eligible subjects who agree to participate (informed consent) will be enrolled in the study.
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| Name | Affiliation | Role |
|---|---|---|
| Stefaan De Henauw, Md. PhD | University Ghent | Principal Investigator |
| Souheila Abbeddou, MSc. PhD | University Ghent | Principal Investigator |
| Hilda Vasanthakaalam, PhD | University of Rwanda | Principal Investigator |
| Jerome Some, Md. PhD | Institut de Recherche en Sciences de la Sante, Ouagadougou, Burkina Faso | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Rwanda | Kigali | Rwanda |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 21731604 | Background | Bowen L, Ebrahim S, De Stavola B, Ness A, Kinra S, Bharathi AV, Prabhakaran D, Reddy KS. Dietary intake and rural-urban migration in India: a cross-sectional study. PLoS One. 2011;6(6):e14822. doi: 10.1371/journal.pone.0014822. Epub 2011 Jun 22. | |
| 16274715 | Background | Boutayeb A. The double burden of communicable and non-communicable diseases in developing countries. Trans R Soc Trop Med Hyg. 2006 Mar;100(3):191-9. doi: 10.1016/j.trstmh.2005.07.021. Epub 2005 Nov 4. |
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| ID | Term |
|---|---|
| D024821 | Metabolic Syndrome |
| D005247 | Feeding Behavior |
| ID | Term |
|---|---|
| D007333 | Insulin Resistance |
| D006946 | Hyperinsulinism |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
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Serum samples
| Risk factors associated with metabolic syndrome |
| Other |
Data collected on nutritional status, biochemical indicators and other risk factors associated with metabolic syndrome |
|
Nutritional knowledge of macronutrients, micronutrients, water intake, diet and disease will be collected using a multiple choice answers. Each question had one mark for every correct response chosen. Using a marking scheme for nutritional knowledge test the scores were rated on score percentages using eight cut off points, with scores less than 20% indicating a bad nutritional knowledge, 50-59% satisfactory and Excellent for those scoring 80% and more.
| Through study completion (an average of 6 months) |
| Through study completion (an average of 6 months) |
| 30700377 | Background | Swinburn BA, Kraak VI, Allender S, Atkins VJ, Baker PI, Bogard JR, Brinsden H, Calvillo A, De Schutter O, Devarajan R, Ezzati M, Friel S, Goenka S, Hammond RA, Hastings G, Hawkes C, Herrero M, Hovmand PS, Howden M, Jaacks LM, Kapetanaki AB, Kasman M, Kuhnlein HV, Kumanyika SK, Larijani B, Lobstein T, Long MW, Matsudo VKR, Mills SDH, Morgan G, Morshed A, Nece PM, Pan A, Patterson DW, Sacks G, Shekar M, Simmons GL, Smit W, Tootee A, Vandevijvere S, Waterlander WE, Wolfenden L, Dietz WH. The Global Syndemic of Obesity, Undernutrition, and Climate Change: The Lancet Commission report. Lancet. 2019 Feb 23;393(10173):791-846. doi: 10.1016/S0140-6736(18)32822-8. Epub 2019 Jan 27. No abstract available. |
| 25835540 | Background | Janjua NZ, Mahmood B, Bhatti JA, Khan MI. Association of household and community socioeconomic position and urbanicity with underweight and overweight among women in Pakistan. PLoS One. 2015 Apr 2;10(4):e0122314. doi: 10.1371/journal.pone.0122314. eCollection 2015. |
| D009750 |
| Nutritional and Metabolic Diseases |
| D001522 | Behavior, Animal |
| D001519 | Behavior |