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Updated: Jan 11, 2026

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
Published on: September 18, 2018
Multidimensional dietary patterns and their joint associations with intersecting sociodemographic characteristics
Joy M Hutchinson1,2, Dylan Spicker3, Benoît Lamarche1,2
1Centre Nutrition, santé et société (NUTRISS), Institut sur la nutrition et les aliments fonctionnels (INAF), Université Laval, Québec, QC, Canada.
Abstract:
Dietary patterns consist of multiple interrelated components, while individuals have numerous sociodemographic characteristics that may jointly influence dietary patterns. Studies to assess associations between sociodemographic characteristics and dietary patterns typically do not consider this complexity. The objective of this study was to examine joint relationships between dietary patterns and sociodemographic characteristics among adults in Canada. Twenty four hour dietary recall data for adults ≥18 years were drawn from the 2015 Canadian Community Health Survey Nutrition (n = 14 097). Three mixed graphical models were developed to explore networks of sociodemographic characteristics, dietary components, and sociodemographic characteristics and dietary components together. Networks included 30 log-transformed food groups (grams), sex, age, household food security status, income, employment status, education, geographic region, and smoking status. Results are expressed as (edge weight; [95% CI]). The strongest pairwise relationships were observed among dietary components and among sociodemographic characteristics. In the model including dietary components and sociodemographic characteristics, age was associated with grains (other) (-0.12; [-0.16, -0.09]), coffee/tea (0.21; 95% CI [0.17, 0.24]), and whole grains (0.12; [0.08, 0.15]). Sex was associated with sweet beverages (0.11; [0.06, 0.17]), alcohol (0.18; [0.13, 0.24]), cured meat (0.20; [0.15, 0.26]), and red meat (0.16; [0.11, 0.21]). In some cases, pairwise relationships between dietary components suggested displacement, for example, of whole grains by refined grains. Age and sex were the characteristics most strongly connected to dietary components. Exploring joint relationships between intersecting sociodemographic characteristics and multidimensional dietary patterns can assist with better understanding dietary heterogeneity to inform policies and programs that support healthy eating.
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