Bars indicate mean and 95% CIs for individual daily diet cost, adjusted for dietary energy and participant age and sex. $/2000 kcal indicates dollars per 2000 kcal.aP value for trend, <.001 across quintiles.bP value for trend, nonsignificant.
eAppendix. Supplementary Methods and Results
eTable 1. Mean DASH Accordance Scores by Demographic and Socioeconomic Characteristics of American Adults
eTable 2. Survey-Weighted Mean Diet Cost per 2000 Calories for Quintiles of DASH Accordance Score.
eTable 3. Mean and 95% Confidence Interval of Diet Cost by Quintile of DASH Positive and Negative Subscore
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Monsivais P, Rehm CD, Drewnowski A. The DASH Diet and Diet Costs Among Ethnic and Racial Groups in the United States. JAMA Intern Med. 2013;173(20):1922–1924. doi:10.1001/jamainternmed.2013.9479
The Dietary Approaches to Stop Hypertension (DASH) diet is perhaps the best example of how a nutrient-dense dietary pattern can prevent chronic disease. In randomized trials, DASH dietary patterns lowered blood pressure in hypertensive individuals.1 Subsequent trials and observational studies have consistently found that DASH-type diets reduced cardiovascular and metabolic risk.2
Despite its proven health benefits, the DASH food pattern has not been widely adopted.3 Its limited uptake might be explained by economic constraints, since food prices influence food choices and constitute a major barrier to dietary change.4,5 Nutrient-dense foods, central to DASH, tend to be more costly compared with calorie-dense alternatives.6
In the present study, we explored how diets consumed by US adults aligned with DASH guidance. We hypothesized that the DASH accordance of diets would be greater among persons of higher socioeconomic status. We also hypothesized that DASH-accordant diets would be more costly for some ethnic groups but not necessarily for others. Our previous analyses of US adults indicated that Hispanic adults achieved a diet quality similar to non-Hispanic white adults but at lower cost.7
Data for 4744 adults from the 2001-2002 National Health and Nutrition Examination Survey (NHANES) were used for analyses because they allow linkage of dietary data to a contemporaneous, national food price database. The data sources and linkage have been described in detail previously.7 Methods are provided in greater detail in the eAppendix in the Supplement. The National Center for Health Statistics has obtained institutional review board approval for all cycles of NHANES studies and the data have been made available for public use. The NHANES data sets meet the University of Washington’s criteria for a “public data set,” requiring neither institutional review and approval or exemption status.
The independent variable was a DASH accordance score, similar to one previously applied to the Nurses’ Health Study.8 Our score was based on consumption of 5 encouraged food groups: fruits, vegetables (excluding fried potatoes and chips), nuts and legumes, whole grains, low-fat dairy, and 3 discouraged food and nutrient groups (red and processed meats, added sugars, and sodium). Following an established approach, participants were scored on each of the food and nutrient groups, and the sum of the scores (range, 8-40) represented the relative DASH accordance of each participant’s diet. Quintiles were used for analysis.
Age-adjusted descriptive analyses evaluated the DASH score by sociodemographic strata. Survey-weighted linear regression models to examine diet cost and DASH adjusted for age group, sex, race/ethnicity, education, and family income. An interaction between diet cost and DASH score by race/ethnicity was also explored. Analyses accounted for the complex survey design of NHANES.
Diets consumed by US adults had low DASH accordance scores. The mean DASH score was 20.7, with a range of 8 to 38. DASH scores by demographic strata are provided in eTable 1 in the Supplement. DASH accordance scores were highest among individuals with highest income and educational attainment. Non-Hispanic black adults had the lowest DASH accordance among the 3 predominant race/ethnicity groups.
DASH accordance was positively associated with diet cost. In the Supplement, eTable 2 shows the energy-adjusted diet cost (dollars per 2000 kcal [$/2000 kcal]) by DASH score quintile. Adults in the highest quintile (best accordance) consumed diets with a mean cost that was $0.78 higher (19%) than the cost of diets in the lowest quintile. Moreover, the association between DASH accordance and diet cost appeared to differ by race and ethnicity (P value for interaction, .04). Differences by race/ethnicity are evident in the Figure, which plots the mean (95% confidence interval) energy-adjusted diet cost by quintile of DASH score. For non-Hispanic black and white adults, there were significant differences in diet cost across quintiles of DASH accordance, with the mean cost in the top quintile higher than the bottom quintile by $1.30 (34%) and $0.86 (21%) for black and white adults, respectively. By contrast, among Mexican-American and Hispanic (MAH) adults, the mean diet cost in the top quintile was only $0.26 (6%) higher than the lowest quintile.
According to NHANES data, diets consumed by US adults showed low DASH accordance scores, with the lowest scores occurring among disadvantaged groups. Overall, we also observed that diets with higher DASH accordance scores were more costly. Costs may explain why the DASH diet pattern has not been more widely adopted. While the DASH pattern was composed of readily available and palatable foods, food prices were not accounted for. Prices are one determinant of food choice,5 and affordability of food was a factor of concern for African Americans considering adopting the DASH diet.4
It was therefore important to observe that for MAH adults, more DASH-accordant diets were not associated with significantly higher costs. While most observational studies indicate that nutritious diets are more costly,7 intervention and modeling studies have shown that improvements can be achieved in a cost-neutral fashion. Critical to achieving healthful diets, affordably is the modification of the habitual diet to include foods that are both nutrient dense and relatively low cost. Such foods may feature prominently in the diet patterns of MAH adults and contribute to the findings reported here. A detailed analysis was beyond the scope of the present study, but our preliminary analyses (eTable 3 in the Supplement) indicate that MAH adults achieved both “encouraged” and “discouraged” components of DASH accordance at lower cost compared with other non-Hispanic adults.
In conclusion, the wider promotion of the DASH diet and other evidence-based dietary patterns is integral to population-level chronic disease prevention,9 but economic barriers may exist. While DASH-accordant diets were generally more costly, our results indicate that some ethnic eating patterns may hold a key to making healthful diets economically feasible for all Americans.
Corresponding Author: Pablo Monsivais, PhD, MPH, Centre for Diet and Activity Research, Box 296, Institute of Public Health, University of Cambridge, Cambridge CB2 0SR, England (firstname.lastname@example.org).
Published Online: September 2, 2013. doi:10.1001/jamainternmed.2013.9479.
Author Contributions: Study concept and design: Monsivais, Rehm.
Acquisition of data: Rehm.
Analysis and interpretation of data: All authors.
Drafting of the manuscript: Monsivais, Rehm.
Critical revision of the manuscript for important intellectual content: All authors.
Statistical analysis: Monsivais, Rehm.
Obtained funding: All authors.
Administrative, technical, or material support: All authors.
Study supervision: Monsivais, Drewnowski.
Conflict of Interest Disclosures: None reported.
Funding/Support: This study was supported by grant 1R21DK085406 from the National Institutes of Health (NIH) (Dr Drewnowski). Dr Monsivais was supported by the Centre for Diet and Activity Research (CEDAR), a UK Clinical Research Collaboration (UKCRC) Public Health Research Centre of Excellence with funding from the British Heart Foundation, Economic and Social Research Council, Medical Research Council, and the NIH Research and the Wellcome Trust under the auspices of the UKCRC.
Role of the Sponsor: The sponsors had no role in analysis, study design, or reporting of these results.
Correction: This article was corrected on September 12, 2013, to include “Funding/Support” and “Role of the Sponsor” information.
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