Three squares or mostly snacks--what do teens really eat? A sociodemographic study of meal patterns

J Adolesc Health. 1998 Jan;22(1):29-36. doi: 10.1016/S1054-139X(97)00125-0.

Abstract

Purpose: To categorize U.S. adolescents' meal patterns and related differences in dietary quality.

Methods: Using data from the Continuing Survey of Food Intake by Individuals, 1989-1991, meal patterns from 3 days of adolescents' (ages 11-18 years) intake (n = 1310) were examined. Consistency of meal pattern intake and associated nutrient quality was determined. Logistic regression was used to examine the effects of several sociodemographic characteristics on meal pattern consistency.

Results: A higher percentage of adolescents consumed a meal pattern that included 3 meals/day than any other meal pattern: 57.4-58.7% on any given day. Forty-one percent of adolescents fell into the consistent (at least two meals on all 3 days), and only 3.5% fell into the inconsistent meal (one meal, with or without snacks, or snacks only, on all 3 days) pattern category. Logistic regression results indicated that being black [adjusted odds ratio (AOR) = 4.19, 95% confidence interval (CI) (1.90, 9.27)], older (15-18) [AOR = 1.41, 95% CI (1.19, 1.67)], and from a single-parent household [AOR = 2.60, 95% CI (1.23, 5.52)] were predictive of an inconsistent meal pattern. School lunch has a positive impact on intake, increasing a consistent meal pattern from 36.0% to 44.9%.

Conclusions: Adolescents who consume at least two meals (with or without snacks) on a consistent basis have an adequate intake of calories and a more nutrient-dense diet with respect to calcium, iron, vitamin E, and fiber than those with other meal patterns. From the perspective of following a diet to prevent chronic diseases in adulthood, adolescents regardless of meal pattern, consume a diet that is too high in fat, sodium, and protein, and too low in fiber.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adolescent Behavior
  • Child
  • Diet / statistics & numerical data*
  • Diet Surveys
  • Energy Intake
  • Feeding Behavior* / classification
  • Female
  • Food Services
  • Humans
  • Logistic Models
  • Male
  • Vereinigte Staaten