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Longitudinal growth standards for preschool children
Insights
Evaluating preschool child growth using traditional growth charts can be misleading. New conditional standards offer a more accurate assessment of length and weight patterns over time.
Area of Science:
- Pediatrics
- Anthropometry
- Growth Monitoring
Background:
- Traditional growth charts compare a child's measurements to population standards at single time points.
- Assessing growth patterns by comparing percentile status across different ages using standard charts is often inappropriate due to natural variations in child development.
- Healthy children frequently shift percentile lines, making longitudinal growth evaluation difficult with conventional methods.
Purpose of the Study:
- To introduce conditional standards for evaluating preschool children's length and weight.
- To provide a more accurate method for assessing anthropometric patterns over time by considering previous measurements.
- To offer a flexible tool for clinical and research applications in child growth assessment.
Main Methods:
- Development of conditional standards for length and weight in preschool children.
- The proposed method accounts for previous anthropometric measurements and/or current measurements of other variables.
- Flexibility in measurement timing is supported, with computer use enabling complete adaptability.
Main Results:
- Conditional standards provide a more appropriate evaluation of percentile-level changes over time compared to traditional methods.
- The approach allows for accurate assessment of a child's current size in relation to their prior growth trajectory.
- Demonstrates the difficulty in accurately evaluating percentile changes over time with standard growth charts.
Conclusions:
- Conditional standards offer a superior method for assessing preschool children's anthropometric status and growth patterns.
- This approach enhances clinical evaluation and provides a valuable analytical tool for research.
- The method aids in predicting future child size and is useful when control populations are not feasible.
Abstract:
The appropriateness of a preschool child's size at a particular age is usually assessed by comparing the child's measurement against growth charts. When the child has measurements at more than one age, the child's percentile status at one age is sometimes compared with the percentile status at a subsequent age, with the purpose of assessing the child's pattern over time or growth rate. This second use of growth charts is not entirely appropriate, for it assumes a high degree of 'tracking' in the population. Healthy children frequently cross percentile lines, the amount of shifting depending upon the age range under consideration, the child's sex, and whether the measurements are length or weight. Thus the correct evaluation of percentile-level changes over time is difficult. We present here conditional standards for length and weight in preschool children, which assess a child's length or weight taking into account previous measurements and/or a current measurement of a second anthropometric variable. The approach can be very flexible as regards ages of measurement, although complete flexibility requires use of a computer. In addition to its clinical application, this approach can be used to predict the future size of a child and may be valuable as an analytic tool in research situations in which control populations are not feasible.