Literature DB >> 30096789

Erratum: Cost-Effectiveness of Product Reformulation in Response to the Health Star Rating Food Labelling System in Australia; Nutrients 2018, 10, 614.

Ana Maria Mantilla Herrera1,2, Michelle Crino3, Holly E Erskine4,5,6,7, Gary Sacks8, Jaithri Ananthapavan9, Cliona Ni Mhurchu10,11, Yong Yi Lee12,13.   

Abstract

The authors have requested that the following changes be made to their paper [...].

Entities:  

Year:  2018        PMID: 30096789      PMCID: PMC6115758          DOI: 10.3390/nu10081037

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


The authors have requested that the following changes be made to their paper [1].

Correction 1

The following content in the Abstract on Page 1: “The model predicted that HSR-attributable reformulation leads to small reductions in mean population energy intake (voluntary: 0.98 kJ/day [95% UI: −1.08 to 2.86]; mandatory: 11.81 kJ/day [95% UI: −11.24 to 36.13]). These are likely to result in reductions in mean body weight (voluntary: 0.01 kg [95% UI: −0.01 to 0.03]; mandatory: 0.11 kg [95% UI: −0.12 to 0.32], and HALYs (voluntary: 4207 HALYs [95% UI: 2438 to 6081]; mandatory: 49,949 HALYs [95% UI: 29,291 to 72,153]). The HSR system evaluated via changes in reformulation could be considered cost-effective relative to a willingness-to-pay threshold of A$50,000 per HALY (voluntary: A$1728 per HALY [95% UI: dominant to 10,445] and mandatory: A$4752 per HALY [95% UI: dominant to 16,236]).” Was changed to: “The model predicted that HSR-attributable reformulation leads to small changes in mean population energy intake (voluntary: −0.98 kJ/day; mandatory: −11.81 kJ/day). These are likely to result in changes in mean body weight (voluntary: −0.01 kg [95% UI: −0.012 to −0.006]; mandatory: −0.11 kg [95% UI: −0.14 to −0.07]), and HALYs gained (voluntary: 4207 HALYs gained [95% UI: 2438 to 6081]; mandatory: 49,949 HALYs gained [95% UI: 29,291 to 72,153]). The HSR system could be considered cost-effective relative to a willingness-to-pay threshold of A$50,000 per HALY (incremental cost effectiveness ratio for voluntary: A$1728 per HALY [95% UI: dominant to 10,445] and mandatory: A$4752 per HALY [95% UI: dominant to 16,236])” In Results, Section 3.1 on page 6, line 7 to line 15: “Overall, a comparison between the energy density of HSR and non-HSR labelled food products available in 2013 and 2016 showed an average reduction in daily energy intake of −0.98 kJ per day (95% UI: −1.08 to 2.86), which led to an average weight reduction of 0.01 kg (95% UI: −0.03 to 0.01) and an average BMI reduction of 0.003 kg/m2 (95% UI: −0.009 to 0.003). Model inputs of changes in energy density and their corresponding weight reduction in kg and BMI are presented, by age and sex, in Supplementary Tables S7 and S8. Increasing the coverage of the HSR system to all products available in 2016 (i.e., the mandatory scenario) resulted in average daily energy intake reductions of 11.81 kJ per day (95% UI: −11.24 to 36.13), which led to an average weight reduction of 0.11 (95% UI: −0.12 to 0.32) kg and an average BMI reduction of 0.04 kg/m2 (95% UI: −0.040 to 0.115).” Was changed to: “Overall, a comparison between the energy density of HSR and non-HSR labelled food products available in 2013 and 2016 showed an average change in daily energy intake of −0.98 kJ per day, which led to an average weight change of −0.01 kg (95% UI: −0.012 to −0.006) and an average BMI change of −0.003 kg/m2 (95% UI: −0.004 to −0.002). Model inputs of changes in energy density and their corresponding weight change in kg and BMI are presented, by age and sex, in Supplementary Tables S7 and S8. Increasing the coverage of the HSR system to all products available in 2016 (i.e., the mandatory scenario) resulted in average daily energy intake change of −11.81 kJ per day, which led to an average weight change of −0.11 kg (95% UI: −0.14 to −0.07) and an average BMI change of −0.04 kg/m2 (95% UI: −0.05 to −0.03).” In Discussion, Page 11, lines 22 to line 24: “While these reductions in daily energy density result in small reductions in average population energy intake (0.98 kJ per day, 95% UI −1.08 to 2.86) and average body weight (0.01 kg 95% UI −0.01 to 0.03), the long-term health impacts are nevertheless likely to be substantial as shown in Tables 4 and 5.” Was changed to: “While these reductions in energy density result in small changes in average population energy intake (−0.98 kJ per day) and average body weight (−0.01 kg, 95% UI: −0.012 to −0.006), the long-term health impacts are nevertheless likely to be substantial as shown in Tables 4 and 5.”

Correction 2

In Results, Section 3.2 on page 8, lines 5 to line 8: “The HSR system was found to be cost-effective under both baseline scenarios with uncertainty iterations that spanned between the SE quadrant and the area below the WTP threshold in the NE quadrant, which signifies that the intervention is cost saving with respect to the ‘do nothing’ scenario.” Was changed to: “The HSR system was found to be cost-effective when compared to a ‘do nothing’ comparator across both scenarios, with uncertainty iterations that spanned between the SE quadrant (which signifies that the intervention is cost saving) and the area below the WTP threshold in the NE quadrant (which signifies that the intervention is cost-effective).” The authors apologize for any inconvenience caused to the readers by the changes, stating it does not affect the scientific results. The original manuscript will remain online on the article webpage, with a reference to this Erratum.
  1 in total

1.  Cost-Effectiveness of Product Reformulation in Response to the Health Star Rating Food Labelling System in Australia.

Authors:  Ana Maria Mantilla Herrera; Michelle Crino; Holly E Erskine; Gary Sacks; Jaithri Ananthapavan; Cliona Ni Mhurchu; Yong Yi Lee
Journal:  Nutrients       Date:  2018-05-14       Impact factor: 5.717

  1 in total
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Journal:  BMC Health Serv Res       Date:  2022-07-19       Impact factor: 2.908

3.  The Development and Application of a Tool for Quantifying the Strength of Voluntary Actions and Commitments of Major Canadian Food Companies to Improve the Nutritional Quality of Their Products.

Authors:  Laura Vergeer; Lana Vanderlee; Gary Sacks; Ella Robinson; Sally Mackay; Leanne Young; Christine Mulligan; Mary R L'Abbé
Journal:  Curr Dev Nutr       Date:  2020-09-22

4.  Simulation Modeling for the Economic Evaluation of Population-Based Dietary Policies: A Systematic Scoping Review.

Authors:  Karl M F Emmert-Fees; Florian M Karl; Peter von Philipsborn; Eva A Rehfuess; Michael Laxy
Journal:  Adv Nutr       Date:  2021-10-01       Impact factor: 8.701

5.  Modelling the potential health and economic benefits of reducing population sitting time in Australia.

Authors:  Phuong Nguyen; Jaithri Ananthapavan; Eng Joo Tan; Paul Crosland; Steve J Bowe; Lan Gao; David W Dunstan; Marj Moodie
Journal:  Int J Behav Nutr Phys Act       Date:  2022-03-19       Impact factor: 6.457

6.  The impact of voluntary front-of-pack nutrition labelling on packaged food reformulation: A difference-in-differences analysis of the Australasian Health Star Rating scheme.

Authors:  Laxman Bablani; Cliona Ni Mhurchu; Bruce Neal; Christopher L Skeels; Kevin E Staub; Tony Blakely
Journal:  PLoS Med       Date:  2020-11-20       Impact factor: 11.069

  6 in total

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