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Dietary patterns are associated with obesity among Canadian adults (810.14)
Author(s) -
Jessri Mahsa,
Lou Wendy,
Corey Paul,
L'Abbe Mary
Publication year - 2014
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.28.1_supplement.810.14
Subject(s) - obesity , quartile , medicine , environmental health , demography , saturated fat , confidence interval , population , dietary fiber , mediterranean diet , food group , gerontology , food science , cholesterol , biology , endocrinology , sociology
Dietary factors are major contributors to the recent rise in the obesity epidemic. Since foods are consumed in combination, separating the effects of single foods is difficult in observational studies. One possible solution is to derive dietary patterns using data‐reduction techniques. The aim of this study was to identify dietary patterns and their association with obesity among Canadians. Dietary recalls from 11,533 adults in Canadian Community Health Survey (CCHS 2.2) were used. Partial Least Squares analysis was applied to derive dietary patterns using 32 food groups, specifying five obesity‐related nutrients as response variables (fiber, polyunsaturated fat to saturated fat ratio, calcium, cholesterol, fat). Bootstrap method was used to estimate p‐values, confidence intervals (CI), and coefficients of variations. Five dietary patterns were extracted, explaining 61% of response variation: “Western”, “low‐fiber”, “low‐dairy”, “egg” and “low‐processed”. Being in the fourth quartiles of “Western” and “low‐fiber” pattern scores increased the obesity risk by 1.89 (CI:1.4, 2.6) and 1.37 (CI:1.1, 1.7) times respectively, compared to the first quartile (P‐Trend=0.02). Having moderate scores for “egg” and “low‐processed” patterns was associated with 20‐25% reduction in obesity (P‐Trend=0.03). These findings support the benefits of low energy‐dense diets in prevention of obesity in Canadian adults. Grant Funding Source : CCO/CIHR Grant in Population Intervention for Chronic Disease Prevention;Vanier Graduate Scholarship