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Distortion in self-reported height and weight data

P Pirie, D Jacobs, R Jeffery

    Journal of the American Dietetic Association
    |June 1, 1981
    PubMed
    Summary
    This summary is machine-generated.

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    Self-reported height and weight data accuracy varies by sex and body mass. Women tend to underreport weight and height, while men

    Area of Science:

    • Biometrics
    • Anthropometry
    • Health Surveys

    Background:

    • Accurate anthropometric data is crucial for epidemiological studies and health assessments.
    • Self-reported height and weight are commonly used in large-scale surveys due to cost-effectiveness.
    • Understanding biases in self-reported data is essential for valid research findings.

    Purpose of the Study:

    • To evaluate the validity of self-reported height and weight against measured values in a large adult population.
    • To identify sex-specific discrepancies and trends in self-reported anthropometric measurements.
    • To quantify the relationship between body mass and reporting errors.

    Main Methods:

    • Analysis of a large dataset comparing self-reported height and weight with objectively measured values.

    Related Experiment Videos

  • Statistical examination of average discrepancies and their correlation with actual body weight and height.
  • Stratification of data by sex (men and women) to identify differential reporting patterns.

    • Main Results:

    • Women consistently underreported weight, with errors increasing at higher body weights.
    • Men's weight reporting showed a crossover effect: underreporting at higher weights and overreporting at lower weights.
    • Height reporting errors were generally smaller than weight errors, with distinct sex-specific trends observed.

    Conclusions:

    • Self-reported height and weight data exhibit systematic biases that differ between men and women.
    • The magnitude of reporting errors is influenced by actual body size, particularly for weight.
    • Findings highlight the need for caution when interpreting self-reported anthropometric data in research and clinical settings.