Related Experiment Videos
Percentile growth charts for head circumference in Punjabi infants
1Swach Foundation, Chandigarh.
Insights
This study presents head circumference percentile growth charts for Punjabi infants during their first year. These charts aid in identifying abnormal head growth patterns in infants.
Area of Science:
- Pediatric Growth Monitoring
- Infant Development Studies
Background:
- Accurate head circumference (HC) measurement is crucial for assessing infant growth and neurological development.
- Existing growth charts may not fully represent diverse infant populations, necessitating localized data.
Purpose of the Study:
- To establish normative percentile growth charts for head circumference in Punjabi infants.
- To provide a tool for early detection of abnormal head growth trajectories in this specific population.
Main Methods:
- Serial monthly measurements of head circumference were conducted on 86 male and 68 female Punjabi infants.
- Strict adherence to measurement timing (+/- 3 days) and consistent sample size were maintained.
- Factors contributing to the smooth progression of percentile grids were identified.
Main Results:
- Normative percentile growth charts for head circumference for Punjabi infants (0-12 months) were generated.
- The charts demonstrate a natural, smooth course, reflecting consistent growth patterns.
- The data facilitates the identification of infants deviating from expected head growth.
Conclusions:
- The developed percentile charts serve as a valuable reference for monitoring head growth in Punjabi infants.
- Early identification of abnormal head growth is crucial for timely intervention and management.
- This localized data enhances the accuracy of growth assessment in pediatric care.
Abstract:
Percentile growth charts for head circumference of Punjabi infants (male 86 and female 68) measured serially at monthly intervals during the first year of life are presented. Besides, constancy of sample size and strict adherence to time tolerance limit of +/- 3 days, on the day of monthly measurements other factors considered responsible for the natural smooth course of the percentile grids are highlighted. The presented data would enable easy detection of infants with abnormal course of head growth.