Measured energy content of frequently purchased restaurant meals: multi-country cross sectional study

BMJ. 2018 Dec 12:363:k4864. doi: 10.1136/bmj.k4864.

Abstract

Objective: To measure the energy content of frequently ordered meals from full service and fast food restaurants in five countries and compare values with US data.

Design: Cross sectional survey.

Setting: 223 meals from 111 randomly selected full service and fast food restaurants serving popular cuisines in Brazil, China, Finland, Ghana, and India were the primary sampling unit; 10 meals from five worksite canteens were also studied in Finland. The observational unit was frequently ordered meals in selected restaurants.

Main outcome measure: Meal energy content, measured by bomb calorimetry.

Results: Compared with the US, weighted mean energy of restaurant meals was lower only in China (719 (95% confidence interval 646 to 799) kcal versus 1088 (1002 to 1181) kcal; P<0.001). In analysis of variance models, fast food contained 33% less energy than full service meals (P<0.001). In Finland, worksite canteens provided 25% less energy than full service and fast food restaurants (mean 880 (SD 156) versus 1166 (298); P=0.009). Country, restaurant type, number of meal components, and meal weight predicted meal energy in a factorial analysis of variance (R2=0.62, P<0.001). Ninety four per cent of full service meals and 72% of fast food meals contained at least 600 kcal. Modeling indicated that, except in China, consuming current servings of a full service and a fast food meal daily would supply between 70% and 120% of the daily energy requirements for a sedentary woman, without additional meals, drinks, snacks, appetizers, or desserts.

Conclusion: Very high dietary energy content of both full service and fast food restaurant meals is a widespread phenomenon that is probably supporting global obesity and provides a valid intervention target.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Analysis of Variance
  • Brazil
  • China
  • Consumer Behavior
  • Cross-Sectional Studies
  • Energy Intake*
  • Factor Analysis, Statistical
  • Fast Foods / analysis*
  • Finland
  • Food Analysis / statistics & numerical data*
  • Ghana
  • Humans
  • India
  • Meals*
  • Nutritional Requirements
  • Restaurants
  • United States