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Optimizing dietary fat in a weight-loss trial requires advice based on a structured "whole-of-diet" model.
MedLine Citation:
PMID:  22024492     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Dietary trials may link macronutrient intakes to health outcomes, but adherence to dietary targets requires advice based on an understanding of food composition and consumption patterns. Using data from a weight loss trial, we hypothesized that structured advice would be required for significant fat modification to occur. We compared participants' food choice patterns in response to advice based on a structured "whole-of-diet" model vs a general approach to healthy eating. Overweight participants (n = 122) were randomized to 2 advice arms (saturated fat [SFA] < 10% energy [E]): (1) general low fat (LF) control-(a) isoenergy, (b) -2000 kJ; and (2) structured LF high polyunsaturated fat (PUFA) (∼10% energy PUFA; PUFA to SFA ratio ≥1) (LF-PUFA)-(a) isoenergy, (b) -2000 kJ. Intakes of E and fat and fat from food groups (percentage of total fat intake) were compared at baseline, 3 months, P < .05. Baseline diets were similar, with most fat from high-SFA foods (59%): meat and milk-based staple meals and high-fat snacks. By 3 months, all groups reduced E and met the SFA target. Polyunsaturated fat targets were met by the LF-PUFA groups only (P < .001), enabling targeted between-group differences. In response to general advice, LF groups simply switched to LF alternatives of the same foods (P < .05). In comparison, LF-PUFA groups shifted fat intake to high-PUFA choices (54%), consuming more fat than controls from nuts (P < .001), whole grains (P < .001), and oils and spreads (P < .05). Significant reductions in E were achieved regardless of advice, but significant shifts in dietary fat profile relied on structured whole-of-diet advice on a range of meal and snack food sources of fat subtypes.
Authors:
Lynda J Ross; Linda C Tapsell; Yasmine Probst
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Nutrition research (New York, N.Y.)     Volume:  31     ISSN:  1879-0739     ISO Abbreviation:  Nutr Res     Publication Date:  2011 Sep 
Date Detail:
Created Date:  2011-10-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8303331     Medline TA:  Nutr Res     Country:  United States    
Other Details:
Languages:  eng     Pagination:  683-90     Citation Subset:  IM    
Copyright Information:
Crown Copyright © 2011. Published by Elsevier Inc. All rights reserved.
Affiliation:
Royal Brisbane and Women's Hospital, QLD 4029, Australia; Smart Foods Centre, University of Wollongong, Wollongong, NSW 2522, Australia.
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