Dietary Patterns Characterized by Fat Type in Association with Obesity and Type 2 Diabetes: A Longitudinal Study of UK Biobank Participants Brayner, B, Kaur, Gunveen, Keske, Michelle, Perez-Cornago, A, Piernas, C and Livingstone, Katherine 2021, Dietary Patterns Characterized by Fat Type in Association with Obesity and Type 2 Diabetes: A Longitudinal Study of UK Biobank Participants, Journal of Nutrition, vol. 151, no. 11, pp. 3570-3578, doi: 10.1093/jn/nxab275. Title Dietary Patterns Characterized by Fat Type in Association with Obesity and Type 2 Diabetes: A Longitudinal Study of UK Biobank Participants Author(s) Brayner, B Kaur, Gunveen orcid.org/0000-0002-6250-0495 Keske, Michelle orcid.org/0000-0003-4214-7628 Perez-Cornago, A Piernas, C Livingstone, Katherine orcid.org/0000-0002-9682-7541 Journal name Journal of Nutrition Volume number 151 Issue number 11 Start page 3570 End page 3578 Total pages 9 Publisher Oxford University Press Place of publication Oxford, England Publication date 2021-11-02 ISSN 0022-3166 1541-6100 Keyword(s) Science & Technology Life Sciences & Biomedicine Nutrition & Dietetics dietary patterns reduced rank regression obesity type 2 diabetes longitudinal dietary fat saturated fat monounsaturated fat polyunsaturated fat ACID-COMPOSITION OXFORD WEBQ RISK ENERGY CONSUMPTION MELLITUS EVENTS WEIGHT NUMBER Summary ABSTRACT Background The fat type consumed is considered a risk factor for developing obesity and type 2 diabetes (T2D). However, these associations have not been investigated using a dietary patterns approach, which can capture combinations of foods and fat type consumed. Objectives This study aimed to investigate associations between dietary patterns with varying proportions of SFAs, MUFAs, or PUFAs and obesity, abdominal obesity, and self-reported T2D incidence. Methods This study included UK Biobank participants with 2 or more 24-h dietary assessments, free from the outcome of interest at recruitment, and with outcome data at follow-up (n = 16,523; mean follow-up: 6.3 y). Reduced rank regression was used to derive dietary patterns with SFAs, MUFAs, and PUFAs (% of energy intake) as response variables. Logistic regression, adjusted for sociodemographic and health characteristics, was used to investigate the associations between dietary patterns and obesity [BMI (kg/m2) ≥30], abdominal obesity (waist circumference; men: ≥102 cm; women: ≥88 cm) and T2D incidence. Results Two dietary patterns, DP1 and DP2, were identified: DP1 positively correlated with SFAs (r = 0.48), MUFAs (r = 0.67), and PUFAs (r = 0.56), characterized by higher intake of nuts, seeds, and butter and lower intake of fruit and low-fat yogurt; DP2 positively correlated with SFAs (r = 0.76) and negatively with PUFAs (r = −0.64) and MUFAs (r = −0.01), characterized by higher intake of butter and high-fat cheese and lower intake of nuts and seeds. Only DP2 was associated with higher obesity and abdominal obesity incidence (OR: 1.24; 95% CI: 1.02, 1.45; and OR: 1.19; 95% CI: 1.02, 1.38, respectively). Neither of the dietary patterns was associated with T2D incidence. Conclusions These findings provide evidence that a dietary pattern characterized by higher SFA and lower PUFA foods is associated with obesity and abdominal obesity incidence, but not T2D. Notes Editor's Choice Language eng DOI 10.1093/jn/nxab275 Field of Research 0702 Animal Production 0908 Food Sciences 1111 Nutrition and Dietetics HERDC Research category C1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30155566 Document type: Journal Article Collections: Faculty of Health Open Access Collection Related Links Link Description Link to full-text (open access)   Connect to Elements publication management system Go to link with your DU access privileges   Connect to published version Go to link with your DU access privileges   Author URL Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Fri, 17 Sep 2021, 08:19:56 EST Fri, 17 Sep 2021, 10:08:18 EST Sat, 11 Dec 2021, 01:45:01 EST Sat, 08 Jan 2022, 01:31:09 EST Sat, 25 Jun 2022, 17:07:53 EST Mon, 27 Jun 2022, 12:45:39 EST Tue, 05 Jul 2022, 16:14:03 EST Tue, 19 Jul 2022, 10:58:28 EST Thu, 28 Jul 2022, 13:36:09 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 5 times in Scopus Search Google Scholar Access Statistics: 10 Abstract Views  -  Detailed Statistics Created: Fri, 17 Sep 2021, 08:19:56 EST