Table 5

 Results of linear regression analyses for mean energy content (kcal) of lunchtime fast food purchases in 2009, by customers’ use of information on calorie labelling

Model 1*Model 2*
Mean (95% CI) energy content/purchase (kcal)P valueMean (95% CI) energy content/purchase (kcal)P value
Estimated marginal means
Did not use information862.0 (849.0 to 875.2)859.4 (851.8 to 867.0)
Used information765.9 (743.0 to 788.9)781.6 (767.3 to 795.9)
Parameter estimates
Did not use informationReferenceReference
Used information−96.2 (−71.8 to −120,7)<0.001−77.8 (−62.3 to −93.4)<0.001
Sex (women–men)−95.2 (−113.6 to −76.7)<0.001−46.9 (−57.3 to −36.5)0.08
Age (years):
 18–2498.4 (63.3 to 133.5)<0.00144.6 (27.9 to 61.3)<0.001
 25–34112.7 (89.5 to 125.9)27.0 (13.4 to 40.5)
 35–4497.1 (71.6 to 122.6)26.5 (14.1 to 39.0)
 ≥45ReferenceReference
Poverty level†:
 Of customer residence63.7 (−13.3 to 140.6)0.1040.1 (6.2 to 74.1)0.02
 Of store location10.4 (−63.2 to 84.1)0.7826.1 (−16.3 to 68.6)0.23
Description of purchase:
 No of food items148.6 (130.9 to 166.4)<0.001
 Beverage (0=No; 1=Yes)25.2 (8.7 to 41.7)0.003
 Cost (inflation adjusted)102.8 (96.4 to 109.2)<0.001

Models include city residents only (poverty level for customer residence could not be determined for non-city residents).

*Model 1 adjusted for restaurant chain, sex, and neighbourhood poverty. Model 2 further controlled for the number of food items purchased, beverage purchased, and cost. Both models included a variable for chain, to adjust for change in customer volume across the two years.

†Poverty is a continuous variable defined as the percentage of households in the store’s zip code that were below twice the national poverty level.