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Prevalence of menu-labeling usage among adults in 18 states – Behavioral Risk Factor Surveillance System, 2012
METHODS: Limited information on state-level adult menu-labeling usage and impact on food choices prompted our examination of menu-labeling usage among 102,173 adults from 18 states using 2012 BRFSS data. Menu-labeling usage was assessed by the following question: “When calorie information is available in the restaurant, how often does this information help you decide what to order?” Individuals who answered never noticed/could not find (2%) were excluded. Responses were dichotomized as menu-labeling users (‘always’/‘most of the time’/‘about half the time’/‘sometimes’) and never users. Descriptive statistics were used to estimate the state-specific prevalence of menu-labeling usage by age, sex, and race/ethnicity. Multivariable logistic regression was used to calculate adjusted odds ratios (OR) and 95% confidence intervals (CI) for menu-labeling usage by demographic characteristics.
RESULTS: The median proportion of menu-labeling usage was 58% (range: 48%–93%). Menu-labeling usage exceeded 60% in three states (CA, 93%; NY, 61%; and HI, 60%). Fourteen states had 51%–59% of menu-labeling usage, and one (MT) had <50%. In aggregate, the odds of being a menu-labeling user was greater among 35–54-year-olds (OR=1.2, CI=1.1–1.3 vs. ≥55 years), females (OR=2.2, CI=2.1–2.4), and Hispanics (OR=1.7, CI=1.5–1.9 vs. whites).
DISCUSSION: Increasing menu-labeling use may help consumers manage caloric intake. States may consider strategies (e.g., educational campaigns) to increase menu-labeling usage.
Learning Areas:
Chronic disease management and preventionEpidemiology
Public health or related laws, regulations, standards, or guidelines
Public health or related research
Social and behavioral sciences
Learning Objectives:
Compare prevalence estimate of menu-labeling usage by states in 18 states using Behavioral Risk Factor Surveillance System. Identify the association between menu-labeling usage and demographic factors such as age, sex, and race/ethnicity
Qualified on the content I am responsible for because: I am an Epidemic Intelligence Service Officer in the Obesity Prevention adn Control Branch, the Division of Nutrition, Physical Activity, and Obesity, at the Centers for Disease Control and Prevention. Among my scientific interests related to obesity, menu-labeling has been my main interest to improve obesity epidemic in the U.S.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.