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[A simple statistical method for achieving reliability in anthropometric measurements].

R Sauerborn1, D C Morley, C H Bullough

  • 1Harvard School of Public Health, Department of Population Sciences, Boston, MA 02115.

Salud Publica De Mexico
|March 1, 1991
PubMed
Summary
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This study introduces a simpler method to assess measurement reliability in anthropometric studies. Human measurement errors (intra- and inter-observer) were larger than instrument errors, highlighting the need for standardized reliability assessments.

Area of Science:

  • Anthropometry
  • Biostatistics
  • Medical Measurement

Context:

  • Reliability assessment is often omitted in anthropometric studies.
  • Classical analysis of variance methods can be complex.
  • A simpler, scientifically sound method for assessing measurement error is needed.

Purpose:

  • To present a straightforward method for evaluating measurement reliability in anthropometry.
  • To identify and quantify sources of measurement error: intra-observer, inter-observer, and instrument error.
  • To demonstrate the method using upper-arm circumference measurements in pregnant women as a predictor of birth weight.

Summary:

  • A simplified reliability assessment method was applied to upper-arm circumference measurements.
  • Intra-observer and inter-observer errors were found to be comparable in magnitude.

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  • Human measurement errors were statistically significantly larger than instrument errors (tape variation).

    • Impact:

    • This approach aims to encourage the routine reporting of reliability in anthropometric research.
    • Improved reliability assessment can enhance the validity and reproducibility of anthropometric data.
    • Standardized reporting of measurement error will benefit clinical and research applications, such as predicting birth weight.