title: Restaurant menu labeling use among adults--17 states, 2012.
abstract: Many persons underestimate the calories in restaurant foods. Increased attention has been given to menu labeling (ML) as a way to provide consumers with point-of-purchase information that can help them reduce calorie intake and make healthier dietary choices. In 2010, a federal law was passed requiring restaurants with 20 or more establishments to display calorie information on menus and menu boards.* The regulations to implement this federal law have not been finalized, but some states and local jurisdictions have implemented their own ML policies, and many restaurants have already begun providing ML. To assess fast food and chain restaurant ML use by state and by demographic subgroup, CDC examined self-reported ML use by adults in 17 states that used the Sugar-Sweetened Beverages and Menu Labeling optional module in the 2012 Behavioral Risk Factor Surveillance System (BRFSS) survey. Based on approximately 97% of adult BRFSS respondents who noticed ML information at restaurants, the estimated overall proportion of ML users in the 17 states was 57.3% (range = 48.7% in Montana to 61.3% in New York). The prevalence of ML use was higher among women than men for all states; the patterns varied by age group and race/ethnicity across states. States and public health professionals can use these findings to track the use of ML and to develop targeted interventions to increase awareness and use of ML among nonusers.
authors.forename: Seung Hee
authors.initials: SH
authors.lastname: Lee-Kwan
authors.forename: Liping
authors.initials: L
authors.lastname: Pan
authors.forename: Leah
authors.initials: L
authors.lastname: Maynard
authors.forename: Gayathri
authors.initials: G
authors.lastname: Kumar
authors.forename: Sohyun
authors.initials: S
authors.lastname: Park
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D040343:Behavioral Risk Factor Surveillance System; D005006:Ethnicity / Q000523:psychology / Q000706:statistics & numerical data; D057140:Fast Foods; D005260:Female; D005515:Food Labeling; D006801:Humans; D008297:Male; D008612:Menu Planning; D008875:Middle Aged; D044469:Racial Groups / Q000523:psychology / Q000706:statistics & numerical data; D012147:Restaurants; D012737:Sex Factors; D014481:United States; D055815:Young Adult