Advances in methods for characterizing dietary patterns: A scoping review.

There is a growing focus on better understanding the complexity of dietary patterns and how they relate to health and other factors. Approaches that have not traditionally been applied to characterize dietary patterns, such as machine learning algorithms and latent class analysis methods, may offer opportunities to measure and characterize dietary patterns in greater depth than previously considered. However, there has not been a formal examination of how this wide range of approaches has been applied to characterize dietary patterns.

Food Security Status in Relation to Co-operative Enrolment Among University of Waterloo Undergraduate Students: A Cross-Sectional Analysis.

Co-operative (co-op) education facilitates development of workplace competencies but may have unintended consequences for financial stability and food security. This study examined the association between co-op program enrolment and food security status among a sample of undergraduate students. Financial insufficiency and strategies to cope with it were also characterized.

Prevalence and Severity of Food Insecurity Before and During the Coronavirus Disease 2019 Pandemic Among Adults and Youth in Australia, Canada, Chile, Mexico, the United Kingdom, and the United States.

Background: Disruptions from the coronavirus disease 2019 (COVID-19) pandemic potentially exacerbated food insecurity among adults and youth.

Objectives: The objective was to examine changes in the prevalence and severity of food insecurity among adults and youth from before (2019) to during (2020) the pandemic in multiple countries.

Methods: Repeated cross-sectional data were collected among adults aged 18-100 y (n = 63,278) in 5 countries in November to December in 2018-2020 and among youth aged 10-17 y (n = 23,107) in 6 countries in November to December in 2019 and 2020.

Food insecurity, food skills, health literacy and food preparation activities among young Canadian adults: a cross-sectional analysis.

Objective: To assess associations between household food security status and indicators of food skills, health literacy and home meal preparation, among young Canadian adults.

Design: Cross-sectional data were analysed using logistic regression and general linear models to assess associations between food security status and food skills, health literacy and the proportion of meals prepared at home, by gender.

Setting: Participants recruited from five Canadian cities (Vancouver (BC), Edmonton (AB), Toronto (ON), Montreal (QB) and Halifax (NS)) completed an online survey.