Grant: Master's Award: Canada Graduate Scholarships
Ontario Tech University
$27,000.00
Canada Graduate Scholarships - Master’s
FY 2024-25
Summary
The transformation of the food environment has increased intakes of processed foods high in nutrients of public health concern (e.g., saturated fats, sugar, sodium) resulting in poor diet quality (DQ), a leading risk factor of death and disability from chronic diseases. Food literacy (FL) describes how individuals navigate their food environment using knowledge, learned skills and practices. Previous studies that explore the predictors of FL and the extent to which FL influences DQ did not examine the general population using validated tools. This research will determine independent predictors of FL and assess the relationship between FL and DQ. I will conduct a cross-sectional study among a representative sample of the Canadian population using the online Canadian Nutrition and Health Survey. Inclusion criteria are Canadian adults who are ?18 years old, own a computer and have access to the internet and email; with sampling reflecting the Canadian census data. Participants will answer sociodemographic questions and complete the 23-item Canadian Food Literacy Measure to assess dimensions of FL. Participants will complete two 24-hour recalls for dietary intake assessment using the Automated Self-Administered 24-hour Canada dietary recall tool on two randomly selected days following survey completion. DQ will be assessed using the Healthy Eating Food Index to score how well diet aligns with Canada’s Food Guide. Linear regressions will be used to determine associations between FL and DQ controlling for covariates, with separate analyses by sociodemographic variables. The data from this study will equip policymakers, health professionals and educators in designing targeted interventions to improve FL, promoting healthy eating habits and improving health outcomes.
Department
Program
Master's Award: Canada Graduate Scholarships
Recipient
Location
Ontario, Canada
Recipient Type
Not-for-profit organization or charity
Type
Grant
Source
CIHR Funding Decisions Database
As published
Id
529763
Name
Bafagih Salma A
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Prcname2
Special Cases - Awards Programs
Projecttitle
Canada Graduate Scholarships - Master’s
Programtype2
Studentship Programs
Orgnameinp2
Ontario Tech University
Cihramount2
$27,000
Cihrequipment2
$0
Programname2
Master's Award: Canada Graduate Scholarships
Keyworddelim
Determinants Of Health; Diet; Diet Quality; Food; Food Literacy; Nutrition; Nutrition Policy; Nutrition Survey; Public Health
Abstract
The transformation of the food environment has increased intakes of processed foods high in nutrients of public health concern (e.g., saturated fats, sugar, sodium) resulting in poor diet quality (DQ), a leading risk factor of death and disability from chronic diseases. Food literacy (FL) describes how individuals navigate their food environment using knowledge, learned skills and practices. Previous studies that explore the predictors of FL and the extent to which FL influences DQ did not examine the general population using validated tools. This research will determine independent predictors of FL and assess the relationship between FL and DQ. I will conduct a cross-sectional study among a representative sample of the Canadian population using the online Canadian Nutrition and Health Survey. Inclusion criteria are Canadian adults who are ?18 years old, own a computer and have access to the internet and email; with sampling reflecting the Canadian census data. Participants will answer sociodemographic questions and complete the 23-item Canadian Food Literacy Measure to assess dimensions of FL. Participants will complete two 24-hour recalls for dietary intake assessment using the Automated Self-Administered 24-hour Canada dietary recall tool on two randomly selected days following survey completion. DQ will be assessed using the Healthy Eating Food Index to score how well diet aligns with Canada’s Food Guide. Linear regressions will be used to determine associations between FL and DQ controlling for covariates, with separate analyses by sociodemographic variables. The data from this study will equip policymakers, health professionals and educators in designing targeted interventions to improve FL, promoting healthy eating habits and improving health outcomes.
Competitiondate
202412
Approvedterm2
1 yr 0 mth
Pinamesdelim
Bafagih, Salma A
Approvedterm
1 an 0 mois
Cihrcontribution2
~ $27,000~ $0~