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Related Experiment Videos

Self-reported weight and height.

M L Rowland1

  • 1Division of Health Examination Statistics, National Center for Health Statistics, Hyattsville, MD 20788.

The American Journal of Clinical Nutrition
|December 1, 1990
PubMed
Summary
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Self-reported weight and height are often unreliable, especially for overweight individuals and older adults. These reporting errors vary significantly across different demographic groups, impacting health data accuracy.

Area of Science:

  • Public Health
  • Epidemiology
  • Biostatistics

Background:

  • Accurate anthropometric data (weight and height) are crucial for epidemiological studies and public health assessments.
  • Self-reported measurements are commonly used due to convenience but may introduce systematic errors.
  • Previous research suggests discrepancies between self-reported and measured data, necessitating further investigation into specific population subgroups.

Purpose of the Study:

  • To evaluate the accuracy of self-reported weight and height compared to measured values in a large, nationally representative adult sample.
  • To identify demographic factors and characteristics associated with reporting errors in weight and height.

Main Methods:

  • Utilized data from 11,284 adults (aged 20-74 years) participating in the second National Health and Nutrition Examination Survey (1976-1980).

Related Experiment Videos

  • Compared self-reported weight and height with objectively measured values.
  • Analyzed the relationship between reporting errors and variables including overweight status, sex, race, age, and end-digit preference.

    • Main Results:

    • On average, self-reported weight and height exhibited small errors, but significant unreliability was observed in specific population subgroups.
    • Weight reporting errors increased with the degree of overweight, being greater in females than males.
    • Height reporting errors were associated with age, increasing after 45 years, and also influenced by overweight status.
    • Race, age, and end-digit preference were identified as ancillary predictors of weight reporting error.

    Conclusions:

    • Self-reported weight and height data are unreliable in certain demographic subgroups, particularly for overweight individuals and older adults.
    • The magnitude of overweight status is a key predictor of both weight and height reporting errors.
    • Findings highlight the need for caution when using self-reported anthropometric data in public health research and clinical practice, especially for targeted interventions.