UK Chickpea Consumption Doubled from 2008/09-2018/19

Abstract

Background: Only 9% of individuals in the United Kingdom (UK) meet the recommendation for dietary fibre intake. Little is known about chickpea consumption in the UK. Methods: Chickpea intake trends and sociodemographic patterns were analysed using the National Diet and Nutrition Survey Rolling Programme data collected from 2008/09 to 2018/19 among 15,655 individuals ≥1.5 years completing a four-day food diary. Chickpea consumers were identified based on a list of chickpea-containing foods, with the most consumed foods being hummus, boiled chickpeas, chickpea flour, and low/reduced-fat hummus. Micronutrient and food group intakes were compared between chickpea consumers and non-consumers; the Modified Healthy Dietary Score was also assessed, which measures adherence to UK dietary recommendations. Results: Chickpea consumption increased from 6.1% (2008-2012) to 12.3% (2016-2019). Among 1.5-3 years, consumption increased from 5.7% to 13.4%, and among 19-64 years, consumption increased from 7.1% to 14.4%. The percentage of individuals eating chickpeas was higher among individuals with higher incomes and more education. Healthy-weight adults were more likely to consume chickpeas compared to those who were overweight or obese. Compared to both bean and non-bean consumers, chickpea consumers ate significantly more dietary fibre, fruits and vegetables, pulses, nuts, and less red meat and processed meat products. Chickpea consumers also had a higher Modified Healthy Dietary Score. Conclusions: In the UK, chickpea consumption more than doubled from 2008/09 to 2018/19. Chickpea consumers had a higher diet quality than non-consumers.

Keywords: National Diet and Nutrition Survey; United Kingdom; chickpea.

Figure 1

Mean Modified Healthy Dietary Score (mHDS) among chickpea consumers, bean consumers who did not consume chickpeas, and individuals consuming neither. Figure footnotes: Asterisks indicate that the component of mHDS is energy-adjusted. Differing letters indicate that values are different at the p < 0.05 level across each category. If there is no letter, then the value is not significantly different from any of the other values.