| Literature DB >> 34064220 |
Lyndal Wellard-Cole1,2, Alyse Davies1, Juliana Chen1, Jisu Jung3, Kim B Bente3, Judy Kay3, Wendy L Watson2, Clare Hughes2, Anna Rangan1, Kalina Yacef3, Irena Koprinska3, Kathy Chapman4, Nim Ting Wong1, Luke Gemming1, Cliona Ni Mhurchu5,6,7, Adrian Bauman8, Margaret Allman-Farinelli1.
Abstract
Young adults are the highest consumers of food prepared outside home (FOH) and gain most weight among Australian adults. One strategy to address the obesogenic food environment is menu labelling legislation whereby outlets with >20 stores in one state and >50 Australia-wide must display energy content in kJ. The aim of this study was to assess the contribution of FOH to the energy and macronutrients, saturated fat, total sugars and sodium intakes of young Australians. One thousand and one 18 to 30-year-olds (57% female) residing in Australia's most populous state recorded all foods and beverages consumed and the location of preparation for three consecutive days using a purpose-designed smartphone application. Group means for the daily consumption of energy, percentage energy (%E) for protein, carbohydrate, total sugars, total and saturated fats, and sodium density (mg/1000 kJ) and proportions of nutrients from FOH from menu labelling and independent outlets were compared. Overall, participants consumed 42.4% of their energy intake from FOH with other nutrients ranging from 39.8% (sugars) to 47.3% (sodium). Independent outlets not required to label menus, contributed a greater percentage of energy (23.6%) than menu labelling outlets (18.7%, p < 0.001). Public health policy responses such as public education campaigns, extended menu labelling, more detailed nutrition information and reformulation targets are suggested to facilitate healthier choices.Entities:
Keywords: energy-labelling; fast-food; food prepared outside the home; menu labelling; nutrition; saturated fat; sodium; sugar; young adults
Year: 2021 PMID: 34064220 DOI: 10.3390/nu13061761
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717