Dietary Assessment in Rwanda - Food Frequency Questionnaire

NCT04202107 | Completed

• 1 other identifier: EC/2019/1578
• Study Type: observational
• Target: 200
• Locations: 1 country
• Sites: 1

Brief Summary

The burden of non-communicable diseases (NCDs) in Rwanda is adding to the health burden in the country which is facing the nutritional transition and the double burden of malnutrition. Diet is an established risk factor in NCDs, hence the importance to assess accurately the changes in dietary habits occurring in the population. The objective is to develop and validate a food frequency questionnaire in Rwanda.

Conditions

Dietary Assessment

Keywords

Dietary assessment; Food Frequency Questionnaire; multi-pass 24 hour food recall; semi-quantitative

Outcome Measures

Primary Outcomes (8)

• Median proportion of energy intake from carbohydrates assessed by the 24 hour recalls

  Median proportion of energy intake from carbohydrates (starch from grains and tubers such as corn, pasta, rice, potatoes, breads), natural sugars from fruits and juices, and added sugars found in soft drinks, candy, fruit drinks, and desserts) assessed by the 24 hour recalls Adults should get 45 percent to 65 percent of their calories from carbohydrates

  One year

• Median proportion of energy intake from carbohydrates assessed by the Food Frequency Questionnaire

  Median proportion of energy intake from carbohydrates (starch from grains and tubers such as corn, pasta, rice, potatoes, breads), natural sugars from fruits and juices, and added sugars found in soft drinks, candy, fruit drinks, and desserts) assessed by the Food Frequency Questionnaire. Adults should get 45 percent to 65 percent of their calories from carbohydrates

  One year

• Median proportion of energy intake from fat assessed by the 24 hour recalls

  Median proportion of energy intake from fat (Butter, margarine, vegetable oils, whole milk, visible fat on meat and poultry products, invisible fat in fish, shellfish, some plant products such as seeds and nuts, and bakery products) assessed by the 24 hour recalls. Adults should get 20 percent to 35 percent of their calories from fat

  One year

• Median proportion of energy intake from fat assessed by the Food Frequency Questionnaire

  Median proportion of energy intake from fat (Butter, margarine, vegetable oils, whole milk, visible fat on meat and poultry products, invisible fat in fish, shellfish, some plant products such as seeds and nuts, and bakery products) assessed by the Food Frequency Questionnaire. Adults should get 20 percent to 35 percent of their calories from fat

  One year

• Median proportion of energy intake from proteins assessed by the 24 hour recalls

  Median proportion of energy intake from proteins (from animal sources, such as meat, poultry, fish, eggs, milk, cheese, and yogurt; and proteins from plants, legumes, grains, nuts, seeds, and vegetables) assessed by the 24 hour recalls. Adults should get 10 to 35 percent of their calories from protein

  One year

• Median proportion of energy intake from proteins assessed by the Food Frequency Questionnaire

  Median proportion of energy intake from proteins (from animal sources, such as meat, poultry, fish, eggs, milk, cheese, and yogurt; and proteins from plants, legumes, grains, nuts, seeds, and vegetables) assessed by the Food Frequency Questionnaire. Adults should get 10 to 35 percent of their calories from protein

  One year

• Median daily intake of fibers assessed by the 24 hour recalls

  Median daily intake of fibers (in gram; Includes dietary fiber naturally present in grains, such as found in oats, wheat, or unmilled rice; and functional fiber synthesized or isolated from plants or animals) assessed by the 24 hour recalls. The recommended intake for total fiber for adults 50 years and younger is set at 38 grams for men and 25 grams for women

  One year

• Median daily intake of fibers assessed by the Food Frequency Questionnaire

  Median daily intake of fibers (in gram; Includes dietary fiber naturally present in grains, such as found in oats, wheat, or unmilled rice; and functional fiber synthesized or isolated from plants or animals) assessed by the Food Frequency Questionnaire. The recommended intake for total fiber for adults 50 years and younger is set at 38 grams for men and 25 grams for women

  One year

Study Arms (2)

Urban

Men and women between 18 and 49 years of age living in the selected urban communities in Rwanda and who are familiar with the diet. Participants in this study should be acquainted with cooking practices to be able to cite all the ingredients that are used in the preparation of the dishes/ meals

Other: Food Frequency Questionnaire; Other: 24 Hour food recall

Rural

Men and women between 18 and 49 years of age living in the selected urban communities in Rwanda and who are familiar with the diet. Participants in this study should be acquainted with cooking practices to be able to cite all the ingredients that are used in the preparation of the dishes/ meals

Other: Food Frequency Questionnaire; Other: 24 Hour food recall

Interventions

Food Frequency Questionnaire OTHER

Food frequency questionnaires (FFQs) are a common method for measuring dietary intake in large epidemiological studies, in particular in low literacy settings were diaries and food history would not be viable.

Rural; Urban

24 Hour food recall OTHER

Standardized and validated approach of collecting all foods, beverages, and supplements consumed during the past 24 hours

Rural; Urban

Eligibility Criteria

• Age: 18 Years - 49 Years
• Sex: all
• Age Groups: Adult (18-64)
• Sampling Method: Non-Probability Sample

Study Population

In total, 100 participants will be selected from 100 households (one per household) in urban villages (mainly in Kigali) and the same number of participants from rural communities of Rwanda will be recruited in the validation study.

You may qualify if:

• Permanent residence of the selected urban or rural villages
• Holding a valid health insurance card
• Aged between 18 and 49 years
• Signing informed consent form
• Familiar with the diet and cooking practices
• Registration in city demographic system, since study participants will be selected from population registration cards at village level,
• Accept enumerators for home visit and data collection for one year

You may not qualify if:

• Mental disorders such as clinically diagnosed depression, anxiety disorders, eating disorders and addictive behaviors

Sponsors & Collaborators

• University Ghent: lead
• University of Rwanda: collaborator
• Institut de Recherche en Sciences de la Sante, Burkina Faso: collaborator

Study Sites (1)

University of Rwanda

Kigali, Rwanda

Location

Related Publications (4)

• Bowen L, Bharathi AV, Kinra S, Destavola B, Ness A, Ebrahim S. Development and evaluation of a semi-quantitative food frequency questionnaire for use in urban and rural India. Asia Pac J Clin Nutr. 2012;21(3):355-60.

  PMID: 22705424 BACKGROUND

• Cade J, Thompson R, Burley V, Warm D. Development, validation and utilisation of food-frequency questionnaires - a review. Public Health Nutr. 2002 Aug;5(4):567-87. doi: 10.1079/PHN2001318.

  PMID: 12186666 BACKGROUND

• Aglago EK, Landais E, Nicolas G, Margetts B, Leclercq C, Allemand P, Aderibigbe O, Agueh VD, Amuna P, Annor GA, El Ati J, Coates J, Colaiezzi B, Compaore E, Delisle H, Faber M, Fungo R, Gouado I, El Hamdouchi A, Hounkpatin WA, Konan AG, Labzizi S, Ledo J, Mahachi C, Maruapula SD, Mathe N, Mbabazi M, Mirembe MW, Mizehoun-Adissoda C, Nzi CD, Pisa PT, El Rhazi K, Zotor F, Slimani N. Evaluation of the international standardized 24-h dietary recall methodology (GloboDiet) for potential application in research and surveillance within African settings. Global Health. 2017 Jun 19;13(1):35. doi: 10.1186/s12992-017-0260-6.

  PMID: 28629424 BACKGROUND

• Shridhar K, Satija A, Dhillon PK, Agrawal S, Gupta R, Bowen L, Kinra S, Bharathi AV, Prabhakaran D, Srinath Reddy K, Ebrahim S; Indian Migration Study group. Association between empirically derived dietary patterns with blood lipids, fasting blood glucose and blood pressure in adults - the India migration study. Nutr J. 2018 Feb 8;17(1):15. doi: 10.1186/s12937-018-0327-0.

  PMID: 29422041 BACKGROUND

Related Links

• The International Dietary Data Expansion (INDDEX) Project

Study Officials

• Stefaan De Henauw, Md. PhD

  University Ghent

  PRINCIPAL INVESTIGATOR

• Souheila Abbeddou, MSc. PhD

  UGent

  PRINCIPAL INVESTIGATOR

• Jerome Some, Md. PhD

  Institut de Recherche en Sciences de la Sante, Ouagadougou, Burkina Faso

  PRINCIPAL INVESTIGATOR

• Hilda Vasanthakaalam, PhD

  University of Rwanda

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: November 27, 2019
• First Posted: December 17, 2019
• Study Start: January 30, 2020
• Primary Completion: December 31, 2021
• Study Completion: December 31, 2021
• Last Updated: November 15, 2022

Record last verified: 2022-11

Data Sharing

• IPD Sharing: Will not share

Locations

RW (1)