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Published on: September 16, 2019
Development and Preliminary Validation of the Breath Motor Pattern Index (BMPI): An Observational Measure of
Aleksandra Moluszys1, Łukasz Mański1, Mirella Kozakiewicz2
1Gdansk Medical Academy of Applied Sciences, 80-335 Gdansk, Poland.
Insights
The Breath Motor Pattern Index (BMPI) is a new observational tool that reliably assesses respiratory motor patterns in children. It shows promise for clinical use in evaluating breathing as part of the motor system.
Area of Science:
- Pediatric motor control research
- Respiratory physiology in development
- Clinical assessment tools for children
Background:
- Breathing is increasingly recognized as a key component of the motor system, influencing postural control and movement.
- Current clinical assessments of pediatric respiratory function primarily focus on physiological parameters, lacking tools to evaluate breathing as an organized motor pattern.
- This gap highlights the need for novel methods to assess the motor organization of breathing in children.
Purpose of the Study:
- To develop and preliminarily validate the Breath Motor Pattern Index (BMPI), an observational tool for assessing respiratory motor pattern organization in children.
- To establish the reliability and validity of the BMPI in a diverse pediatric cohort.
- To explore the potential clinical applicability of the BMPI in understanding breathing within the broader motor system.
Main Methods:
- A scoping review identified key components of respiratory motor pattern organization.
- The BMPI was developed based on review findings and evaluated in 210 children (0-72 months) across healthy, neurological, and respiratory disorder groups.
- Inter-rater/test-retest reliability (ICC), measurement error (SEM, MDC95), and construct validity (correlation with GMFM-88, group comparisons) were assessed.
Main Results:
- The BMPI demonstrated excellent inter-rater (ICC=0.998) and test-retest (ICC=0.999) reliability with low measurement error (SEM=0.55, MDC95=1.53).
- A significant correlation was found between BMPI scores and the Gross Motor Function Measure-88 (GMFM-88) (rho=0.23, p<0.001).
- BMPI scores significantly differed across clinical groups (p<0.001), being lower in children with neurological conditions and higher in those with respiratory disorders.
Conclusions:
- The BMPI is a promising observational tool for assessing respiratory motor pattern organization in children, with potential clinical utility.
- Findings support the integration of breathing assessment into the broader understanding of the pediatric motor system.
- Further psychometric validation, including responsiveness and clinical decision-making utility, is warranted for the BMPI.
Abstract:
Background/Objectives: Breathing is increasingly recognized as an integral component of the motor system, interacting with postural control and movement. Despite this, clinical assessment of respiratory function in children remains largely limited to physiological parameters, with relatively few tools available to evaluate breathing as an organized motor pattern. The aim of this study was to develop and preliminarily validate the Breath Motor Pattern Index (BMPI), an observational tool designed to assess the organization of respiratory motor patterns in children. Methods: A scoping review was conducted to identify key components of respiratory motor pattern organization. Based on these findings, the BMPI was developed and evaluated in a cohort of 210 children aged 0-72 months, divided into three groups: healthy controls, children with neurological conditions, and children with respiratory disorders. Inter-rater and test-retest reliability was assessed using intraclass correlation coefficients (ICC). Measurement error was quantified using the standard error of measurement (SEM) and minimal detectable change (MDC95). Construct-related validity was examined through correlations with the Gross Motor Function Measure (GMFM-88) and comparisons between clinical groups. Results: The BMPI showed high inter-rater reliability (ICC = 0.998) and test-retest reliability (ICC = 0.999), with low measurement error (SEM = 0.55; MDC95 = 1.53). A weak but statistically significant correlation with GMFM-88 was observed (rho = 0.23, p < 0.001). BMPI scores differed significantly between groups (p < 0.001), with lower values observed in the neurological group and higher values in the pulmonary group. Conclusions: The BMPI appears to be a promising observational tool with potential clinical applicability for assessing respiratory motor pattern organization in children. The findings support the conceptualization of breathing as an integrated component of the motor system while highlighting the need for further psychometric and longitudinal validation studies. Future research should further investigate the responsiveness of the BMPI as well as its potential utility in clinical decision-making and therapeutic monitoring.
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