Nutrient composition of plant-based fast-food meals and their omnivore counterparts: A cross-sectional analysis of e-menus.
Nutrition
; 120: 112323, 2024 Apr.
Article
in En
| MEDLINE
| ID: mdl-38237480
ABSTRACT
OBJECTIVES:
Fast food chains have introduced many plant-based meals to their menus. We aimed to compare the nutrient composition and allergenic content of plant-based (vegan or vegetarian) meals in fast food chains with their animal-based equivalents.METHODS:
E-menus from 50 fast food chains across 5 countries (Australia, Canada, Poland, the UK, and the US) were analyzed. Data on meal type, weight, calories, macronutrients, sodium, fiber, and allergen presence were gathered. Plant-based meals were matched with meat counterparts, where the latter shared the same meal type, originated from the same country and chain, and showed a weight difference of less than 10%. Multivariate logistic regression analysis was performed.RESULTS:
From n = 2455 records, n = 1868 unique meals were matched. Plant-based meals showed lower odds ratios (OR) for protein (OR, 0.10; 95% confidence interval [CI], 0.08-0.14) and sodium (OR, 0.70; 95% CI, 0.55-0.90) and higher odds for carbohydrates (OR, 1.87; 95% CI, 1.41-2.49), sugar (OR, 1.43; 95% CI, 1.12-1.82), and fiber (OR, 4.87; 95% CI, 3.60-6.63) compared with omnivorous meals, adjusted for country, meal type, and meal weight. Notably, plant-based and omnivorous meals were not associated with total caloric content. Separate analyses of vegetarian and vegan meals yielded similar results. Omnivorous meals more frequently contained allergens such as dairy, eggs, fish, shellfish, and mustard, whereas plant-based meals more likely contained allergens such as sesame, seeds, and nuts.CONCLUSIONS:
Plant-based fast food meals were more likely to contain more carbohydrates, sugar, and fiber and less protein and sodium than their animal-based counterparts. These findings emphasize the importance of informed food choices in the fast food context.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Fast Foods
/
Meals
Type of study:
Prevalence_studies
/
Risk_factors_studies
Language:
En
Journal:
Nutrition
Journal subject:
CIENCIAS DA NUTRICAO
Year:
2024
Document type:
Article
Country of publication:
United States