Patterns in Vegetable Consumption: Implications for Tailored School Meal Interventions

J Sch Health. 2017 May;87(5):346-352. doi: 10.1111/josh.12504.

Abstract

Background: Vegetable consumption is a challenging behavioral target; consumption rates are below recommended levels and when interventions produce improvements, increases in vegetable consumption are typically a fraction of the change in fruit consumption. We describe vegetable consumption within Ohio school meals and examine how fruit selection, the more popular item, impacts vegetable consumption.

Methods: Fruit and vegetable waste was collected on 11,250 trays from 17 elementary and 16 middle/high schools, using the quarter-waste visualization method.

Results: One in 4 students ate at least a one-fourth of a cup of vegetables with their school lunch. Consumption was the highest (30.8%) in elementary school buildings with a majority of regular priced meals. Fruit selection was associated with vegetable consumption (p < .001). Middle/high school students who consumed a fruit were 88% more likely to consume a vegetable as oppose to waste it (95% CI: 1.45-2.42). Fruit selection was also associated with not selecting a vegetable, but the association was of a lower magnitude (odds ratio 1.32; 95% CI: 1.06-1.64). Trends were similar in elementary schools.

Conclusions: Fruit and vegetable consumption should be approached as 2 distinct behaviors with particular attention given to vegetables. Fruit items can be leveraged, though, as a means to encourage vegetable selection.

Keywords: child and adolescent health; fruit consumption; plate waste; school meals; vegetable consumption.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Adolescent
  • Adolescent Behavior / psychology
  • Adolescent Nutritional Physiological Phenomena
  • Child
  • Child Behavior / psychology
  • Child Nutritional Physiological Phenomena
  • Female
  • Food Preferences*
  • Food Services / standards*
  • Fruit*
  • Humans
  • Male
  • Students / statistics & numerical data*
  • Vegetables*