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Updated: Jun 27, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
The reliability of routine anthropometric data collected by health workers: a cross-sectional study
William Johnson1, Noël Cameron, Peter Dickson
1Centre for Human Development and Ageing, Loughborough University, UK. W.O.Johnson@lboro.ac.uk
Insights
Reliable child growth data is crucial. Health workers in Bradford demonstrated good anthropometric measurement reliability post-training, though external observation slightly decreased accuracy.
Area of Science:
- Pediatrics
- Public Health
- Health Services Research
Background:
- Accurate child growth data is essential for effective health monitoring and intervention.
- Despite investments in anthropometric data collection, its reliability remains under-researched.
- Unreliable measurements can lead to misreporting of growth and undetected health issues.
Purpose of the Study:
- To evaluate the reliability of routine infant growth measurements after health worker training in anthropometry.
- To assess the impact of external observation on measurement reliability.
Main Methods:
- A test-retest design was employed with 70 health workers in Bradford, UK.
- Health workers performed duplicate measurements of infant weight, length, and circumferences.
- Technical Error of Measurement (TEM) and reliability coefficients were calculated to assess intra- and inter-observer reliability.
Main Results:
- Reliability coefficients ranged from 0.96 to 1.00, indicating generally good measurement quality.
- Measurements taken by health workers observed by an external administrator showed larger TEMs compared to non-observed workers.
- Significant increases in TEMs were observed for weight, abdominal circumference, and head circumference in the externally observed group.
Conclusions:
- Health workers in Bradford achieved reliable infant growth measurements following anthropometric training.
- Reliability assessment serves as a vital quality assurance tool for routine health data.
- External observation, while potentially improving validity, may slightly reduce measurement reliability.
Background:
Reliable data on child growth is a prerequisite for monitoring and improving child health. Despite the extensive resources invested in recording anthropometry, there has been little research into the reliability of these data. If these measurements are unreliable growth may be misreported, and health problems may go undetected.
Objectives:
To assess the reliability of routine infant growth data, following anthropometric training of health workers responsible for collecting these data, in Bradford, UK. To determine whether being observed by an external administrator influenced reliability.
Design:
A test-retest design was used.
Participants:
All health workers (n=192) responsible for growth monitoring in Bradford were included in the study, of which 36.5% (n=70) had complete data.
Methods:
Following training in basic anthropometry all health workers were asked to complete a test-retest study, using infants aged 0-2 years. Health workers took two recordings of weight, length, head circumference, and abdominal circumferences on five infants. A peer health worker recorded a third set of measurements on each infant. Twenty-two individuals were selected to be observed by an external administrator during data collection. Technical error of measurements (TEMs) were produced to assess intra-observer and inter-observer reliability. Differences between groups were tested to determine whether external observation influences reliability.
Results:
None of the TEMs were excessively large, and coefficients of reliability ranged from 0.96 to 1.00. All intra-observer and inter-observer TEMs for the observed group were larger than those for the non-observed group. For example, the observed group's intra-observer TEMs for weight, length, abdominal circumference, and head circumference (46.18 g, 0.60 cm, 0.65 cm, 0.47 cm) were larger than the non-observed group's TEMS (9.14 g, 0.35 cm, 0.34 cm, 0.19 cm). TEMs for weight, abdominal circumference, and head circumference were significantly larger for the observed group, compared to the non-observed group (p<0.001). Inter-observer TEMs for length were also significantly larger for the observed group (p=0.031), whilst intra-observer TEMs for length were not significantly different between the two groups (p=0.137).
Conclusions:
Following training in anthropometry health workers in Bradford can, in general, reliably measure child growth. TEMs were comparable to data from other research studies and all coefficients of reliability were indicative of good quality control. Reliability measurement provides a method of quality assurance for routine data monitoring. If commissioners of health services are to be informed by these data then some form of reliability assessment should be considered, and if employed external observation is recommended to improve validity.
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