Sociodemographic Differences in Fast Food Price Sensitivity

Meyer, Katie A.; Guilkey, David K.; Ng, Shu Wen; Duffey, Kiyah J.; Popkin, Barry M.; Kiefe, Catarina I.; Steffen, Lyn M.; Shikany, James M.; & Gordon-Larsen, Penny. (2014). Sociodemographic Differences in Fast Food Price Sensitivity. JAMA Internal Medicine, 174(3), 434-42. PMCID: PMC3963142

Meyer, Katie A.; Guilkey, David K.; Ng, Shu Wen; Duffey, Kiyah J.; Popkin, Barry M.; Kiefe, Catarina I.; Steffen, Lyn M.; Shikany, James M.; & Gordon-Larsen, Penny. (2014). Sociodemographic Differences in Fast Food Price Sensitivity. JAMA Internal Medicine, 174(3), 434-42. PMCID: PMC3963142

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IMPORTANCE: Fiscal food policies (eg, taxation) are increasingly proposed to improve population-level health, but their impact on health disparities is unknown. OBJECTIVE: To estimate subgroup-specific effects of fast food price changes on fast food consumption and cardiometabolic outcomes. DESIGN, SETTING, AND PARTICIPANTS: Twenty-year follow-up (5 examinations) in a biracial US prospective cohort: Coronary Artery Risk Development in Young Adults (CARDIA) (1985/1986-2005/2006, baseline N = 5115). Participants were aged 18 to 30 years at baseline; design indicated equal recruitment by race (black vs white), educational attainment, age, and sex. Community-level price data from the Council for Community and Economic Research were temporally and geographically linked to study participants' home address at each examination. MAIN OUTCOMES AND MEASURES: Participant-reported number of fast food eating occasions per week, body mass index (BMI), and homeostasis model assessment insulin resistance (HOMA-IR) from fasting glucose and insulin concentrations. Covariates included individual-level and community-level social and demographic factors. RESULTS: In repeated measures regression analysis, multivariable-adjusted associations between fast food price and consumption were nonlinear (quadratic, P < .001), with significant inverse estimated effects on consumption at higher prices; estimates varied according to race (interaction P = .04), income (P = .07), and education (P = .03). At the 10th percentile of price ($1.25/serving), blacks and whites had mean fast food consumption frequency of 2.20 (95% CI, 2.07-2.33) and 1.55 (1.45-1.65) times/wk, respectively, whereas at the 90th percentile of price ($1.53/serving), respective mean consumption estimates were 1.86 (1.75-1.97) and 1.50 (1.41-1.59) times/wk. We observed differential price effects on HOMA-IR (inverse for lower educational status only [interaction P = .005] and at middle income only [interaction P = .02]) and BMI (inverse for blacks, less education, and middle income; positive for whites, more education, and high income [all interaction P < .001]). CONCLUSIONS AND RELEVANCE: We found greater fast food price sensitivity on fast food consumption and insulin resistance among sociodemographic groups that have a disproportionate burden of chronic disease. Our findings have implications for fiscal policy, particularly with respect to possible effects of fast food taxes among populations with diet-related health disparities.


Biological and Social Interactions
Population and Health Policies and Programs


JOUR



Meyer, Katie A.
Guilkey, David K.
Ng, Shu Wen
Duffey, Kiyah J.
Popkin, Barry M.
Kiefe, Catarina I.
Steffen, Lyn M.
Shikany, James M.
Gordon-Larsen, Penny



2014


JAMA Internal Medicine

174

3

434-42








PMC3963142


8140

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