Misreporting of dietary energy intake in adolescents

J Pediatr (Rio J). 2010 Sep-Oct;86(5):400-4. doi: 10.2223/JPED.2025. Epub 2010 Sep 23.
[Article in English, Portuguese]

Abstract

Objectives: To examine the prevalence of under and overreporting of energy intake in adolescents and their associated factors.

Methods: Cross-sectional study with 96 postpubertal adolescents (47 normal-weight and 49 obese), mean age of 16.6±1.3 years. Weight and height were measured, and body mass index was calculated. Body composition was assessed by dual energy X-ray absorptiometry. Dietary intake was evaluated by a 3-day dietary record. Biochemical assessment was performed (serum total cholesterol, LDL-cholesterol, HDL-cholesterol, plasma glucose, and insulin). Underreporters reported energy intake < 1.35 x basal metabolic rate (BMR), whereas overreporters reported energy intake > 2.4 x BMR.

Results: Energy intake misreporting (under or overreporting) was identified in 65.6% of adolescents (64.6 and 1% of under and overreporting, respectively). Obese adolescents were 5.0 times more likely to underreport energy intake (95%CI 2.0-12.7) than normal-weight participants. Underreporters showed higher rates of insufficient intake of carbohydrate (19.3 vs. 12.1%, p = 0.046) and lipids (11.3 vs. 0%, p < 0.001) than plausible reporters. Cholesterol intake was also lower in underreporters (p = 0.017). There were no significant differences in body composition and biochemical parameters in relation to misreporting.

Conclusions: The results obtained demonstrated a high percentage of misreporting of energy intake among adolescents, especially among obese subjects, which suggests that energy-adjusted nutrient intake values should be employed in diet-disease risk analysis in order to contribute to a reduction in errors associated with misreporting.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Basal Metabolism*
  • Body Composition
  • Body Weight / physiology
  • Brazil
  • Chi-Square Distribution
  • Cross-Sectional Studies
  • Diet Records
  • Diet Surveys
  • Energy Intake*
  • Feeding Behavior
  • Female
  • Humans
  • Male
  • Nutritional Status*
  • Obesity / etiology
  • Prevalence
  • Risk Factors
  • Self Disclosure*
  • Statistics, Nonparametric