ArticleThe British journal of nutrition2023
An online exploratory survey of Australian athletes' and exercisers' use of and attitudes towards ultra-processed sports foods.
Article in The British journal of nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Ultra-processed Foods and Athletes: Current Insights on Classification, Use, Awareness, and Impact-A Narrative Review.Sports medicine - open · 2026Review
- Skin Carotenoid Status and Diet Quality in Professional Rugby League Players: An Exploratory Longitudinal Study.Nutrients · 2026Article
- The epithelial barrier theory proposes a comprehensive explanation for the origins of allergic and other chronic noncommunicable diseases.FEBS letters · 2025Review
- A Cross-Sectional Study of Sports Food Consumption Patterns, Experiences, and Perceptions amongst Non-Athletes in Australia.Nutrients · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sports foods are convenient alternatives to everyday foods to fuel performance. Strong scientific evidence supports their use; however, commercial sports foods are classified by the NOVA system as ultra-processed foods (UPF). Consumption of UPF has been associated with poor mental and physical health, but little is known about athletes' consumption of and attitudes towards sports foods as a source of UPF. The aim of this cross-sectional study was to assess Australian athletes' intake of and attitudes towards sports foods and UPF. Adult athletes were recruited to complete an anonymous online survey via social media between October 2021 and February 2022. Data were analysed using descriptive statistics, and Pearson's
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