Literature DB >> 28792462

Correction: Grieger, J.A.; et al.: Comparing the Nutritional Impact of Dietary Strategies to Reduce Discretionary Choice Intake in the Australian Adult Population: A Simulation Modelling Study. Nutrients 2017, 9, 442.

Jessica A Grieger1, Brittany J Johnson2, Thomas P Wycherley3, Rebecca K Golley4,5.   

Abstract

We would like to submit the following correction to our recently published paper [1] because there was an error in the median intake ratio calculation used in the substitution strategies.[...].

Entities:  

Year:  2017        PMID: 28792462      PMCID: PMC5579644          DOI: 10.3390/nu9080851

Source DB:  PubMed          Journal:  Nutrients        ISSN: 2072-6643            Impact factor:   5.717


We would like to submit the following correction to our recently published paper [1] because there was an error in the median intake ratio calculation used in the substitution strategies. The median intake ratios have been corrected throughout Supplementary Table S1. The corrected calculations have led to minor changes (i.e., less than 5% change in nutrient intakes) to results reported in the abstract (page 1), the substitution results text (page 8 and 9), tables and figures (Table 2, columns 4 and 5, page 8; Figure 1, light green and dark green bars, page 6; Figure 2, green bars page 7; Supplementary Table S1, substitution replacement rows; Supplementary Table S3, columns 4–8; and Supplementary Table S6, columns 2 and 3). The corrected tables and text are shown below. These changes have no material impact on the conclusions of our paper. We apologize for any inconvenience caused. The manuscript will be updated and the original will remain online on the article website.
Table 2

Estimated impact of moderating, substituting and reformulating discretionary foods or beverages on mean population intake of target nutrients.

Moderation of All Discretionary Foods by 50%Moderation of All Discretionary Beverages by 50%Replacement of All Discretionary Foods with All Core Foods 2Replacement of Discretionary Beverages with Water, or Fruit and Vegetable Juices 3Reformulate All Discretionary Foods 4Reformulate All Discretionary Beverages 5
Grams (g)3248.33080.93384.73320.83331.23329.5
Energy (kJ)7610.882768341.18291.98592.28513.9
Saturated fat (g) (%E 1)22.0 (10.9%)27.6 (12.6%)24.1 (10.9%)27.6 (12.5%)22.0 (9.6%)27.7 (12.3)
Added sugars (g) (%E)38.0 (8.4%)41.3 (8.4%)38.8 (7.8%)41.3 (8.3%)44.3 (8.6%)46.0 (9.0)
Sodium (mg)2032.12399.72233.92407.32271.22429.8
Alcohol (g) (%E)14.4 (5.5%)7.2 (2.6%)14.4 (5.0%)7.2 (2.6%)14.4 (4.9%)10.8 (3.7)

1 Modelled nutrient percentage of total energy intake. 2 Replacement of 50% of all discretionary foods with all core foods (including milk) based on a replacement ratio. 3 Replacement of 50% of discretionary beverages with water, or fruit and vegetable juices based on a replacement ratio. 4 Reformulate all discretionary foods by replacing 50% saturated fat with equivalent gram of unsaturated fat, reducing added sugars by 25% and reducing sodium by 20%. 5 Reformulate all discretionary beverages by reducing added sugars by 25% and reducing sodium by 20% and reducing alcohol by 25%.

Figure 1

Estimated percentage change in population mean total intake for key nutrient profiles of modelled dietary strategies to reduce discretionary choices. Results are expressed as a percentage change in total energy intake. Error bars represent the sensitivity analyses performed for moderation and reformulation simulations, no sensitivity analyses were performed for substitution scenarios. Moderation: Reduction of discretionary choices by 50% with no energy compensation. Substitution: Replacement of 50% of discretionary choices with 1: core foods, water, fruit/vegetable juices; 2: fruit, vegetables, water, fruit/vegetable juices. Reformulation: replacing 50% of SFA with unsaturated fat, reduce added sugar by 25%, sodium by 20%, and alcohol by 25% in discretionary choices.

Figure 2

Estimated impact of simulations to moderate, substitute and reformulate on discretionary foods or beverages on mean population intake of target nutrients. Results are expressed as a percentage change in total energy intake. Food moderation: Reduction of discretionary foods by 50% with no energy compensation. Beverage moderation: Reduction of discretionary beverages by 50% with no energy compensation. Food substitution: Replacement of 50% of all discretionary foods with all core foods. Beverage substitution: Replacement of 50% of discretionary beverages with water, fruit/vegetable juices. Food reformulation: Reformulation of all discretionary foods by replacing 50% SFA with equivalent gram of unsaturated fat, reducing added sugars by 25%, reducing sodium by 20%. Beverage reformulation: Reformulation of all discretionary beverages by reducing added sugars by 25%, reducing sodium by 20%, reducing alcohol by 25%.

Abstract

Substitution with a range of core items, or with fruits, vegetables and core beverages only, resulted in similar changes in energy intake (−8.8% and −13.6%), SFA (−13.4% and −19.4%), added sugars (−41.7% and −42.7%) and sodium (−9.0% and −15.6%), respectively.

Results

Both scenarios resulted in similar changes from the base case of +0.9% and +0.6%, and −8.8% and +3.6% for gram and energy intake respectively. The difference in protein was −3.0% when substituting a range of core foods compared to −5.4% when only fruits and vegetables were targeted. The difference in nutrients compared to the base case intake were also less for the substitution scenario incorporating a range of core foods (range—3.0% for vitamin B6 to +5.0% for fiber and DFE compared to the substitution scenario targeting just core fruit and vegetables (range—7.9% for vitamin B 12 to +18.4% for vitamin C). Substituting half of all discretionary foods to all core foods (Figure 2), produced a similar +0.9% change in grams of intake to replacing all discretionary choices (Figure 1).
  1 in total

1.  Comparing the Nutritional Impact of Dietary Strategies to Reduce Discretionary Choice Intake in the Australian Adult Population: A Simulation Modelling Study.

Authors:  Jessica A Grieger; Brittany J Johnson; Thomas P Wycherley; Rebecca K Golley
Journal:  Nutrients       Date:  2017-05-03       Impact factor: 5.717

  1 in total
  1 in total

1.  Modelling the Impact of Reducing Ultra-Processed Foods Based on the NOVA Classification in Australian Women of Reproductive Age.

Authors:  Nahal Habibi; Shalem Yiner-Lee Leemaqz; Jessica Anne Grieger
Journal:  Nutrients       Date:  2022-04-05       Impact factor: 5.717

  1 in total

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