12 Reliability of Two-Person Anthropometric Measurement of Young Children with Parent Facilitator
Bibliographic record
Abstract
Abstract Background Body Mass Index is recommended by the World Health Organization for the measurement of growth and the diagnosis of overweight and obesity in children. The reliability of anthropometric measurements is important for assessment of child growth due to the challenges faced when measuring younger children, including the difficulty of having the child remain still during measurement collection. The current gold-standard for anthropometric measurement collection in children in a clinical research setting, set by the World Health Organization, requires the use of two trained anthropometrists. Objectives The purpose of this study was to determine the reliability of anthropometric measurements between two trained anthropometrists working in a pair and one trained anthropometrist working with a child’s parent/caregiver in a primary healthcare setting. Design/Methods An observational study to determine measurement reliability was conducted in a primary care child research network in Canada. 76 children 0 – 5 years old had their length/height, weight, head, arm, and waist circumference measured a total of four consecutive times: twice by two trained anthropometrists working in a pair (researcher-researcher team) and twice by one trained anthropometrist working with a child’s parent/caregiver (researcher-parent team). Inter- and intra- observer reliability was calculated using the technical error of measurement (TEM), relative TEM (%TEM) and the coefficient of reliability (R). Results The %TEM values across both age groups, children 0 - < 2 and 2 – 5 years of age, for length/height and weight were < 2% and the R coefficient values were >0.99, indicating a high degree of inter- and intra- observer reliability. The TEM values were greater for inter- and intra- observer reliability across all age groups for length/height in comparison to other anthropometric measurement parameters, with greater variation seen in the length for children 0 - < 2 years of age. The TEM values across both age groups for inter- and intra- observer reliability of arm circumference was outside of the acceptable range of < 2%, indicating greater measurement error. There was greater variation seen in waist circumference across both age groups. Conclusion This study suggests that anthropometric measurement, including length/height and weight, taken by one trained anthropometrist with the assistance of a parent/caregiver is reliable. These findings can be used to encourage the utilization of a child’s parent/caregiver to assist with anthropometric measurement collection in clinical setting(s) to enhance feasibility and efficiency and reduce the research costs of including a second trained anthropometrist.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".