Purchasing Behavior, Setting, Pricing, Family: Determinants of School Lunch Participation

Nutrients. 2021 Nov 24;13(12):4209. doi: 10.3390/nu13124209.

Abstract

Despite growing school lunch availability in Germany, its utilization is still low, and students resort to unhealthy alternatives. We investigated predictors of school lunch participation and reasons for nonparticipation in 1215 schoolchildren. Children reported meal habits, parents provided family-related information (like socioeconomic status), and anthropometry was conducted on-site in schools. Associations between school lunch participation and family-related predictors were estimated using logistic regression controlling for age and gender if necessary. School was added as a random effect. School lunch participation was primarily associated with family factors. While having breakfast on schooldays was positively associated with school lunch participation (ORadj = 2.20, p = 0.002), lower secondary schools (ORadj = 0.52, p < 0.001) and low SES (ORadj = 0.25, p < 0.001) were negatively associated. The main reasons for nonparticipation were school- and lunch-related factors (taste, time constraints, pricing). Parents reported pricing as crucial a reason as an unpleasant taste for nonparticipation. Nonparticipants bought sandwiches and energy drinks significantly more often on school days, whereas participants were less often affected by overweight (OR = 0.66, p = 0.043). Our data stress school- and lunch-related factors as an important opportunity to foster school lunch utilization.

Keywords: children; food habits; overweight; school lunch participation; social inequalities.

MeSH terms

  • Adolescent
  • Anthropometry
  • Breakfast
  • Child
  • Consumer Behavior / statistics & numerical data*
  • Costs and Cost Analysis / statistics & numerical data
  • Cross-Sectional Studies
  • Facilities and Services Utilization / statistics & numerical data*
  • Family Characteristics
  • Feeding Behavior
  • Female
  • Food Services / statistics & numerical data*
  • Germany
  • Humans
  • Logistic Models
  • Lunch
  • Male
  • Nutrition Surveys
  • School Health Services / statistics & numerical data*
  • Schools
  • Students / statistics & numerical data*