Abstract

BackgroundAlthough over the years a number of studies have used chest circumference (CC) as a sensitive tool to identify the health status of infants, a particularly important aspect for this population is the lack of data on normal values and prediction equations. In order to facilitate and validate the interpretation of CC data in newborn (NB), the aim was to study the relation between CC and other anthropometric variables and develop a predictive equation for CC in a population of full-term newborns.MethodsCross-sectional study, carried out with full-term infants. The anthropometric (CC, head circumference - HC, length, age and weight) and hemodynamic variables were evaluated during the first 24 h of life. Bivariate analysis was performed between CC and HC, weight, length and type of delivery, followed by multiple linear regression analysis, including variables that were significant in the bivariate analysis. For data analysis, we used the SPSS program, considering p < 0.05 and 95% CI.ResultsThe birth weight of the 120 NB varied between 2580 and 4225 g (mean 3360 g) and the gestational age between 37 and 42 weeks (mean 39 weeks). Approximately 61% of the sample were delivered vaginally and 67 (56%) were boys. The variables that remained statistically associated with CC after multivariate analysis were weight (β 0.003, CI: 0.002: 0.003, p = 0.001) and HC (β 0.287, CI: 0.156: 0.417, p = 0.001). For the linear regression model, the predictive equation of CC was 14.87+ (0.003 x weight) + (0.287 x HC), with a prediction of 76%.ConclusionThe results show a positive correlation between CC and weight, length and HC, and based on the linear regression model, the predictive equation for CC is based only on weight and HC.

Highlights

  • Over the years a number of studies have used chest circumference (CC) as a sensitive tool to identify the health status of infants, a important aspect for this population is the lack of data on normal values and prediction equations

  • In a study involving NB hospitalized in a neonatal intensive care unit (NICU), Hadush, Berhe & Medhanyie, 2017 [7] demonstrated that birth weight showed a strong correlation with anthropometric variables (CC and head circumference (HC))

  • The final sample consisted of 120 NB, with birth weight varying between 2580 g and 4225 g and gestational age (GA) between 37 and 42 weeks

Read more

Summary

Introduction

Over the years a number of studies have used chest circumference (CC) as a sensitive tool to identify the health status of infants, a important aspect for this population is the lack of data on normal values and prediction equations. Assessment in perinatology uses anthropometry as an essential tool to monitor growth and evaluate the nutritional and functional status of newborns (NB). CC, HC and AC are simple, reliable and logistically viable tools in field conditions that can be used on a large scale in both domiciliary care and high-complexity environments due to their accessibility. These resources, whose aim is early detection of developmental changes and prevention of newborn deaths [2], are important methods, capable of predicting the need for early referral of low-birth-weight babies for extra care, given that after surviving the critical neonatal period, they may experience compromised physical and mental growth [2]. The cutoff points for better sensitivity and specificity identified in the study were 30 cm and 31 cm for CC and HC, respectively, the former being the best predictor of low birth weight [7]

Methods
Results
Discussion
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.