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Arch Iran Med. 2012;15(11): 0.
PMID: 23102244
Scopus ID: 84868236632
  Abstract View: 2336
  PDF Download: 1286

Original Article

Accuracy of Energy Intake Reporting: Comparison of Energy Intake and Resting Metabolic Rate and their Relation to Anthropometric and Sociodemographic Factors among Iranian Women

Mahboubeh Shaneshin, Bahram Rashidkhani*, Samira Rabiei
*Corresponding Author: Email: b_rashidkhani@sbmu.ac.ir

Abstract

BACKGROUND: This study assesses the accuracy of energy intake (EI) reporting and its relation to anthropometric characteristics and sociodemographic factors. In addition, we attempt to identify foods for which under- or over-reporting is more prevalent.

METHODS: EI was assessed for 187 women using a semi-quantitative 168-item food frequency questionnaire (FFQ). Resting metabolic rate (RMR) was measured with an indirect calorimeter. We calculated the EI/RMR ratio to assess the accuracy of EI reporting. This study defined under-reporters as those with an EI/RMR of ≤ 1.34 and over-reporters as those with an EI/RMR of ≥ 2.4. We measured anthropometric characteristics and collected sociodemographic information. The chi-square test, ANOVA and multiple linear regressions were used for statistical analyses.

RESULTS: Among participants, the under-reporting rate was 35.5% and the over-reporting rate was 7.5%. The EI/RMR ratio was significantly higher for younger women compared to older women (P < 0.04). Under-reporters had higher weight, waist circumference (WC), body mass index (BMI) and resting metabolism compared to accurate reporters (P < 0.05). Resting metabolism was significantly lower among over-reporters than accurate reporters. After adjusting for energy, the consumption of fish, high-fat dairy products, hydrogenated oil, sweets and coffee was lower, whereas consumption of unsaturated oils, tea, salt and yellow vegetables was higher among under-reporters compared to accurate reporters.

CONCLUSION: Under-reporting of EI is more frequent than over-reporting among Iranian women. Among various factors that may affect the accuracy of EI reporting, age and anthropometric characteristics might have a significant effect.

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ePublished: 01 Nov 2012
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