Reliability and Repeatability of At-Home Parent-Reported Height and Weight Measurement of Young Children

Sarah Rae1,2, Charles Keown-Stoneman3,4, Eleanor Pullenayegum5

  • 1Child Health Evaluative Sciences, The Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, Ontario, Canada.

Insights

Parents can reliably measure child height and weight at home. This home-based anthropometry is repeatable and supports accessible growth monitoring in research and clinical settings.

Area of Science:

  • Pediatrics
  • Growth Monitoring
  • Anthropometry

Background:

  • Accurate anthropometric measurements are crucial for pediatric growth monitoring.
  • Limited access to clinical settings can hinder in-person measurements.
  • Home-based measurements offer a potential solution to accessibility issues.

Purpose of the Study:

  • To assess the reliability and repeatability of parent-collected anthropometric measurements (height and weight) at home.
  • To compare home-based parent measurements with those taken by trained researchers in a clinical setting.
  • To evaluate the feasibility of using parent-collected data for research and clinical care.

Main Methods:

  • Thirty children aged 2-5 years from the TARGet Kids! cohort participated.
  • Measurements were taken by parents at home and by a pair of trained researchers in a clinic.
  • Standardized instructions were provided to parents.
  • Technical Error of Measurement (TEM), relative TEM (%TEM), and coefficient of reliability (R) were calculated.

Main Results:

  • Parent-collected measurements demonstrated high reliability and repeatability, especially for weight.
  • Bland-Altman plots indicated slightly higher variation in parent-collected height measurements, but within acceptable clinical limits.
  • The study confirmed the accuracy of home-based measurements compared to researcher-collected data.

Conclusions:

  • Parent-collected anthropometry at home is reliable and repeatable for monitoring child growth.
  • This method enhances accessibility for pediatric research and clinical practice when in-person measurements are not feasible.
  • Home-based measurements can supplement or replace clinical measurements, improving data collection efficiency.

Related Concept Videos

Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.
Variation: Normal Distribution, Range, and Standard Deviation02:32

Variation: Normal Distribution, Range, and Standard Deviation

In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
Coefficient of Correlation01:12

Coefficient of Correlation

The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable x and the dependent variable y.
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the strength of the linear...
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...