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. This scoping review synthesized literature from 2005-2022 applying methods not traditionally used to characterize dietary patterns, referred to as novel methods. MEDLINE, CINAHL, and Scopus were searched using keywords including machine learning, latent class analysis, and least absolute shrinkage and selection operator (LASSO). Of 5274 records identified, 24 met the inclusion criteria. Twelve of 24 articles were published since 2020. Studies were conducted across 17 countries. Nine studies used approaches that have applications in machine learning to identify dietary patterns. Fourteen studies assessed associations between dietary patterns that were characterized using novel methods and health outcomes, including cancer, cardiovascular disease, and asthma. There was wide variation in the methods applied to characterize dietary patterns and in how these methods were described. The extension of reporting guidelines and quality appraisal tools relevant to nutrition research to consider specific features of novel methods may facilitate complete and consistent reporting and enable evidence synthesis to inform policies and programs aimed at supporting healthy dietary patterns.

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

Purpose: 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.Methods: Cross-sectional data were collected from 167 co-op and 89 non-co-op students at the University of Waterloo from January to March 2019. Logistic regression assessed associations between co-op program enrolment and food insecurity.Results: Twenty-four percent of co-op and 39.3% of non-co-op students lived in moderately or severely food insecure households. Adjusting for confounders, the odds of living in moderately or severely food insecure households were lower among co-op students (adjusted odds ratio: 0.51, 95% CI: 0.27-0.97), though no association was observed when marginal food insecurity was included within the food insecure category. One-quarter (26.3%) of co-op students and 38.2% of non-co-op students reported financial insufficiency, which they tried to cope with by asking parents or friends for assistance or initiating paid work.Conclusions: Co-op program enrolment was weakly associated with lower odds of living in moderately or severely food insecure households, and food insecurity prevalence was high overall. Efforts are needed to alleviate food insecurity among postsecondary students.

Acceptability of an Online Module Addressing Weight Bias: Perspectives and Attitudes of Undergraduate Health Students and Instructors.

Weight bias and discrimination are highly pervasive and harmful to Canadians with higher weights. Researchers and practitioners who deliver, evaluate, and advise on dietary and weight-related interventions may inadvertently perpetuate weight bias through their work; however, trainees in these fields rarely have access to weight bias education within their applied health programs. This study evaluated the acceptability of an online educational weight bias module developed for undergraduate students enrolled in health courses. The intervention included a pre-recorded 20-minute online module with prompts for reflection or discussion, a self-assessment quiz, as well as a separate module and range of resources for instructors. Overall, 211 students from applied health courses and 4 instructors completed an online survey querying the module's delivery, impact, and relevance. Students agreed that the module provided useful information (82%), was easy to understand (97%), and was the right length (75%), but reported wanting more interactivity and engagement with the content. Instructors found the module engaging and useful and expressed interest in additional resources and support for weight bias education. Future research should explore the impact of weight bias education on students' weight-related attitudes and perceptions as well as feasibility and relevance of online features such as multimedia tools.

Low-calorie sweeteners and human health: a rapid review of systematic reviews.

INTRODUCTION: Low-calorie sweeteners are increasingly prevalent in the food supply and their consumption has increased in recent decades. Although low-calorie sweeteners approved for use are considered safe from a toxicological perspective, their short- and long-term impacts on chronic disease risk remain uncertain. The aim of this review was to summarize the evidence from systematic reviews on low-calorie sweetener use and chronic conditions and risk factors in children and adults. METHODS: MEDLINE and the Cochrane Database of Systematic Reviews were searched to identify systematic reviews of randomized and nonrandomized studies that considered low-calorie sweeteners in relation to type 2 diabetes, cardiovascular disease, cancer, anthropometric measures, hypertension, hyperglycemia, hyperlipidemia, insulin resistance, and dental caries. Data were extracted from 9 reviews deemed of moderate or high quality on the basis of AMSTAR-2. RESULTS: Narrative synthesis suggested inconsistent evidence on low-calorie sweetener use in relation to chronic conditions and associated risk factors, with nonrandomized studies suggesting positive associations and randomized studies suggesting negative or no associations. CONCLUSION: Continued research on the long-term health impacts of low-calorie sweeteners across all life stages is warranted.

Beyond BMI: a feasibility study implementing NutriSTEP in primary care practices using electronic medical records (EMRs). / Au-delà de l'IMC : étude de faisabilité de la mise en oeuvre de NutriSTEP dans les établissements de soins primaires au moyen des dossiers médicaux électroniques (DME).

INTRODUCTION: Primary care providers have a role to play in supporting the development of healthy eating habits, particularly in a child's early years. This study examined the feasibility of implementing the NutriSTEP® screen-a 17-item nutrition risk screening tool validated for use with both toddler and preschooler populations-integrated with an electronic medical record (EMR) in primary care practices in Ontario, Canada, to inform primary care decision-making and public health surveillance. METHODS: Five primary care practices implemented the NutriSTEP screen as a standardized form into their EMRs. To understand practitioners' experiences with delivery and assess factors associated with successful implementation, we conducted semi-structured qualitative interviews with primary care providers who were most knowledgeable about NutriSTEP implementation at their site. We assessed the quality of the extracted patient EMR data by determining the number of fully completed NutriSTEP screens and documented growth measurements of children. RESULTS: Primary care practices implemented the NutriSTEP screen as part of a variety of routine clinical contacts; specific data collection processes varied by site. Valid NutriSTEP screen data were captured in the EMRs of 80% of primary care practices. Approximately 90% of records had valid NutriSTEP screen completions and 70% of records had both valid NutriSTEP screen completions and valid growth measurements. CONCLUSION: Integration of NutriSTEP as a standardized EMR form is feasible in primary care practices, although implementation varied in our study. The application of EMR-integrated NutriSTEP screening as part of a comprehensive childhood healthy weights surveillance system warrants further exploration.

Food Insecurity and Mental Health among Females in High-Income Countries.

Food insecurity is a persistent concern in high-income countries, and has been associated with poor mental health, particularly among females. We conducted a scoping review to characterize the state of the evidence on food insecurity and mental health among women in high-income countries. The research databases PubMed, EMBASE, and psycINFO were searched using keywords capturing food insecurity, mental health, and women. Thirty-nine articles (representing 31 unique studies/surveys) were identified. Three-quarters of the articles drew upon data from a version of the United States Department of Agriculture Household Food Security Survey Module. A range of mental health measures were used, most commonly to measure depression and depressive symptoms, but also anxiety and stress. Most research was cross-sectional and showed associations between depression and food insecurity; longitudinal analyses suggested bidirectional relationships (with food insecurity increasing the risk of depressive symptoms or diagnosis, or depression predicting food insecurity). Several articles focused on vulnerable subgroups, such as pregnant women and mothers, women at risk of homelessness, refugees, and those who had been exposed to violence or substance abuse. Overall, this review supports a link between food insecurity and mental health (and other factors, such as housing circumstances and exposure to violence) among women in high-income countries and underscores the need for comprehensive policies and programs that recognize complex links among public health challenges.