PURPOSE: Dietary patterns of food consumption were investigated among young urban Toronto adults, including men and women from different ethnocultural groups. METHODS: We performed a cross-sectional analysis among 1153 adults aged 20 to 29 years, from the Toronto Nutrigenomics and Health Study. Principal components analysis of food intake scores was used to identify food consumption patterns. Logistic regression, analysis of variance, and t-tests were used to test for differences in dietary patterns between ethnocultural groups and between men and women. Partial correlations were used to investigate the relationship between patterns and nutrient intake. RESULTS: Three predominant patterns were identified and termed "prudent," "Western," and "Eastern" patterns. Caucasians had significantly higher prudent pattern scores than did Asians and South Asians, while Asians had significantly higher Eastern pattern scores than did other ethnocultural groups (p<0.01). Women had higher prudent pattern scores (odds ratio [OR]=4.31, 95% confidence interval [CI]=3.11-5.96) and lower Western pattern scores (OR=0.62, 95% CI=0.45-0.84) than did men. Dietary pattern scores were correlated with nutrient and energy intakes. CONCLUSIONS: We observed distinct dietary patterns in this population of young adults. These dietary patterns varied significantly between ethnocultural groups and between men and women. The patterns were associated with nutrient intake levels; this association may have important public health implications.
PURPOSE: Dietary patterns of food consumption were investigated among young urban Toronto adults, including men and women from different ethnocultural groups. METHODS: We performed a cross-sectional analysis among 1153 adults aged 20 to 29 years, from the Toronto Nutrigenomics and Health Study. Principal components analysis of food intake scores was used to identify food consumption patterns. Logistic regression, analysis of variance, and t-tests were used to test for differences in dietary patterns between ethnocultural groups and between men and women. Partial correlations were used to investigate the relationship between patterns and nutrient intake. RESULTS: Three predominant patterns were identified and termed "prudent," "Western," and "Eastern" patterns. Caucasians had significantly higher prudent pattern scores than did Asians and South Asians, while Asians had significantly higher Eastern pattern scores than did other ethnocultural groups (p<0.01). Women had higher prudent pattern scores (odds ratio [OR]=4.31, 95% confidence interval [CI]=3.11-5.96) and lower Western pattern scores (OR=0.62, 95% CI=0.45-0.84) than did men. Dietary pattern scores were correlated with nutrient and energy intakes. CONCLUSIONS: We observed distinct dietary patterns in this population of young adults. These dietary patterns varied significantly between ethnocultural groups and between men and women. The patterns were associated with nutrient intake levels; this association may have important public health implications.
Authors: Fred K Tabung; Edward L Giovannucci; Franco Giulianini; Liming Liang; Paulette D Chandler; Raji Balasubramanian; JoAnn E Manson; Elizabeth M Cespedes Feliciano; Kathleen M Hayden; Linda Van Horn; Kathryn M Rexrode Journal: J Nutr Date: 2018-05-01 Impact factor: 4.798
Authors: Louise H Dekker; Mary Nicolaou; Rob M van Dam; Jeanne H M de Vries; Evelien J de Boer; Henny A M Brants; Marja H Beukers; Marieke B Snijder; Karien Stronks Journal: Food Nutr Res Date: 2015-06-02 Impact factor: 3.894
Authors: Michiel A van den Dries; Anjoeka Pronk; Mònica Guxens; Suzanne Spaan; Trudy Voortman; Vincent W Jaddoe; Todd A Jusko; Matthew P Longnecker; Henning Tiemeier Journal: Int J Hyg Environ Health Date: 2018-02-03 Impact factor: 5.840
Authors: F K Tabung; S E Steck; J Zhang; Y Ma; A D Liese; F A Tylavsky; M Z Vitolins; J K Ockene; J R Hebert Journal: Eur J Clin Nutr Date: 2016-07-06 Impact factor: 4.016