Low diet quality is a significant public health problem in the United States, especially among low-income populations. The food environment influences dietary choices. When applied to eating behavior, behavioral economics (BE) recognizes that decision biases instigated by a food environment saturated with unhealthy foods may lead people to purchase such foods, even when they possess the necessary information and skills to make healthy dietary choices. Choice architecture, a BE concept that involves modifying the appeal or availability of choices to “nudge” people toward a certain choice, retains freedom of choice but makes unhealthy options less convenient or visible. Choice architecture has been demonstrated to influence food choices in various settings, including supermarkets, convenience stores, and food pantries. These modifications are low-cost and feasible to implement, making them a viable strategy to help “nudge” patrons toward healthier choices in food establishments serving low-income populations, including food pantries and retailers accepting the Supplemental Nutrition Assistance Program. This narrative review searched, appraised, and underscored the strengths and limitations of extant research studies that used choice architecture adaptations to influence food choices among low-income populations in the United States. Findings from studies in food pantry settings suggest the potential of BE strategies to improve the healthfulness of food choices and dietary intake in low-income populations. In food retail settings, research suggests that BE strategies increase sales of healthy foods, like fruits and vegetables. We identify new areas of research needed to determine if BE-based modifications in low-income settings have sustained impacts on diet quality.

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Backgrounds: Cocoa and cocoa flavonoids may exert health benefits including improving insulin sensitivity and lowering type 2 diabetes (T2D) risk. Previous studies have reported inverse associations between chocolate consumption and T2D risk, although it is largely unknown regarding whether the associations differ between dark chocolate and milk chocolate. The objective of this study is to prospectively examine the associations between the consumption of dark chocolate, milk chocolate, and total chocolate, and the risk of T2D, in three large cohort studies with repeat dietary measurements over 10 years of follow-up. Methods: Data from three prospective cohorts in the United States were used, including Nurses’ Health Study (2006-2020), Nurses’ Health Study II (2007-2019), and Health Professionals Follow-Up Study (2006-2020). Dark and milk chocolate consumption information was assessed at baseline and updated every 4 years through a validated food frequency questionnaire. Chocolate consumption was categorized into 4 groups: never or <1 serving/month, 1 serving/month to 1 serving/week, 1-4 servings/week, and ≥5 servings/week. Self-reported T2D cases were confirmed using a supplementary questionnaire. Cox proportional hazards models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for the associations between total, dark, and milk chocolate intake, and the risk of T2D. Results: After adjusting for lifestyle and dietary risk factors for diabetes, compared to participants who never or rarely eat chocolate, those who consumed any chocolate ≥5 servings/week had a 22% (95% CI: 10% to 32%; p for trend = 0.0003) lower rate of T2D. For dark chocolate, those who consumed ≥5 servings/week had a non-significant 16% (95% CI: -2% to 31%; p for trend = 0.005) lower rate of T2D than those who never or rarely eat dark chocolate. The associations between milk chocolate intake and T2D risk are largely null. Spline regression shows an L-shaped non-linear dose-response relationship between total chocolate intake and the risk of T2D (p=0.02 for curvature). The risk reduction plateaus when the total chocolate intake is higher than 5 servings/week. There is a linear dose-response association between dark chocolate intake with the risk of T2D (p=0.006 for linearity). Conclusion: Higher consumption of total chocolate and especially dark chocolate was significantly associated with a lower risk of type 2 diabetes. These findings support the potential cardiometabolic benefits of consuming chocolates that are rich in flavonoids.

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