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Recognizing Growth Concerns in 1- to 5-Year-Olds: A Practical Algorithm for Screening and Early Intervention in
James Best1, Peter S W Davies2, Laura Hunt3
1Junction Street Family Practice, Nowra 2541, Australia.
Insights
A new algorithm aids primary care providers in identifying children aged 1-5 at risk of abnormal growth velocity. This tool supports early intervention to promote healthy development and long-term health outcomes.
Area of Science:
- Pediatrics
- Primary Care Medicine
- Growth Monitoring
Background:
- Poor or rapid growth velocity in early childhood has long-term health implications.
- Early identification of growth problems is crucial for intervention but faces primary care barriers.
Purpose of the Study:
- To develop a practical algorithm for routine growth screening and intervention in primary care for children aged 1-5 years.
- To support primary care providers in identifying and managing children at risk of abnormal growth velocity.
Main Methods:
- Expert consensus from diverse healthcare professionals (general practice, pediatrics, dietetics, nursing).
- Development of a practical algorithm integrating weight, height, and risk factor assessment.
- Focus on children aged 1 to 5 years within a primary care setting.
Main Results:
- The algorithm uses a single initial measurement of weight and height plus risk factors to identify at-risk children.
- It provides guidance for intervention and follow-up frameworks for poor or rapid growth velocity.
- The tool facilitates timely intervention to alter growth trajectories.
Conclusions:
- The algorithm effectively identifies children at risk of abnormal growth velocity in community settings.
- It empowers primary care providers to promote healthy growth through timely intervention.
- Supports continued routine growth monitoring for optimal child health outcomes.
Abstract:
Background: Poor or rapid growth velocity in early childhood can have negative long-term health consequences. Early identification of children at risk of growth problems facilitates timely intervention to change growth trajectories and health parameters, but barriers exist to routine screening in primary care. Methods: Experts from general practice, primary care nursing, pediatrics, dietetics, and academic research convened to develop a practical algorithm to support routine growth screening and intervention in children aged 1 to 5 years in primary care. Results: Using a single initial measurement of weight and height in conjunction with risk factor assessment, the algorithm presented here identifies children at risk of poor or rapid growth velocity and provides guidance for intervention and follow-up frameworks. Conclusions: This tool helps to define children in the community setting who are at risk of poor or rapid growth velocity and supports primary care providers in promoting healthy growth trajectories through timely intervention and continued routine growth monitoring.
