Strategies to Reduce Consumption of Unhealthy Foods and Beverages: Scenario Modeling to Estimate the Impact on the Australian Population's Energy and Nutrient Intakes

J Acad Nutr Diet. 2021 Aug;121(8):1463-1483. doi: 10.1016/j.jand.2020.12.003. Epub 2021 Jan 22.

Abstract

Background: Overconsumption of energy-dense, nutrient-poor "discretionary" foods and beverages can indicate poor diet quality, which is a risk factor for obesity and chronic disease. With 60% of Australians exceeding the recommended intake of discretionary foods, there is a need for interventions to reduce their consumption.

Objective: The objective was to model the impact of 26 specific scenarios to limit discretionary food intake on energy and nutrient intake.

Design: The scenario modeling analysis was based on reduction strategies targeting portion size, frequency, or variety of discretionary food and beverage items consumed.

Participants/setting: Data from 12,153 respondents aged 2 to 85 years from the 2011-12 Australian National Nutrition and Physical Activity Survey were used.

Outcome measures: The outcome measures were change in servings of discretionary foods and key nutrients (energy, total fat, saturated fat, sugar, alcohol, sodium, trans fat) for the population, and by sex, age group, weight status, and socioeconomic status.

Statistical analyses performed: Descriptive and inferential statistical analysis were conducted.

Results: Scenarios reduced total energy intake by up to 26% across the population as a whole. The removal of discretionary foods (not beverages) resulted in the greatest reduction in servings and energy (74.8% and 25.6%, respectively), followed by the removal of discretionary items in portions greater than 143 kcal (59.1% and 24.3%) and not consuming discretionary items at main meals (51.2% and 17.8%). Targeting single categories of discretionary foods reduced energy intake by an average of 5.6% for the removal of cakes and biscuits, 4.4% for alcohol, and 3.9% for sugar-sweetened beverages. Strategies reduced total fat, saturated fat, and sugar by up to 35%, 38%, and 40% respectively.

Conclusions: Strategies that are specific to discretionary food and beverage intake targeting reductions in portion size, frequency, or variety have the potential to reduce energy intake and improve diet quality. These findings have implications for designing interventions with potential to tailor messages to current dietary habits. Exploration of how these strategies could be effectively implemented will be the focus of further research.

Keywords: Diet quality; Discretionary choices; Energy intake; Nutrient intake; Secondary analysis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Australia
  • Beverages
  • Child
  • Child, Preschool
  • Diet / statistics & numerical data*
  • Eating
  • Energy Intake
  • Exercise
  • Feeding Behavior
  • Female
  • Food
  • Food Preferences
  • Health Surveys
  • Humans
  • Male
  • Middle Aged
  • Nutrition Surveys
  • Obesity / epidemiology