Gestational age assessment in newborns using regression equation of anthropometric parameters singly or in combination


Methodology

Authors


  • Ritesh Yadav


    Department of Paediatrics,
    NIMS Medical College, Jaipur, Rajasthan

  • Jitendra Prasad Bhatnagar


    Department of Paediatrics,
    NIMS Medical College, Jaipur, Rajasthan

  • Gunjan Yadav


    Department of Paediatrics,
    NIMS Medical College, Jaipur, Rajasthan

  • Ritu Verma


    Department of Paediatrics,
    NIMS Medical College, Jaipur, Rajasthan



    http://orcid.org/0000-0002-1937-4286


  • Shagun Gupta


    Department of Paediatrics,
    NIMS Medical College, Jaipur, Rajasthan

  • Virendra Kumar Gupta


    Assistant professor,
    Department of Paediatrics, NIMS Medical College, Jaipur

  • Sumit Bhatia


    Department of Paediatrics,
    NIMS Medical College, Jaipur, Rajasthan

  • Alok Purohit


    Department of Paediatrics,
    NIMS Medical College, Jaipur, Rajasthan

DOI:

https://doi.org/10.7439/ijbr.v7i8.3469

Abstract

Aim: To find the best parameter for gestational age (GA) assessment by calculating regression equation of the best anthropometric parameter alone and/or in combinations in rural parts of India. Setting and design : This was a cross sectional prospective study conducted at the department of Pediatrics, NIMS Medical College and Hospital, Jaipur, Rajasthan during September 2012 to October 2013 with sample size of 1000 patients. All the cases of singleton newborns between the GA of 28 to 43 weeks were included in study. Materials and method: After considering all inclusion criteria all the subjects were examined within 72 hours of birth by a single observer using predefined methods.Birth weight (BW), Foot Length (FL), Head Circumference (HC) and crown-heel length of each case were measured and the mean, standard deviation, 3rd, 5th, 10th, 25th, 50th, 75th, 90th, 95th and 97th percentiles were calculated. Regression equations of GA incompleted weeks and weeks plus days (nearest week) with all anthropometric parameters were calculated. Result: In the present study all the four anthropometric measurements highly correlated well with GA in completed weeks as well as with weeks plus days (nearest week)and were found to be highly statistically significant(p 0.0001). Amongst anthropometric parameters individually, FL, had maximum positive correltaion(r=0.878) with GA in completed weeks followed by BW(r=0.799), HC(r=0.766) and crown to heel length (r=0.764) respectively. Conclusion: The overall best correlation for prediction of GA, alone and in combination is found by combined parameters (BW, FL, HC and crown to heel length). The best individual anthropometric parameters for GA assessment is foot length.

Downloads

Download data is not yet available.

Author Biographies

Ritesh Yadav, Department of Paediatrics,
NIMS Medical College, Jaipur, Rajasthan

Department of Paediatrics,Resident

Jitendra Prasad Bhatnagar, Department of Paediatrics,
NIMS Medical College, Jaipur, Rajasthan

Assistant professor , Department of Paediatrics

Gunjan Yadav, Department of Paediatrics,
NIMS Medical College, Jaipur, Rajasthan

Department of OBG and Gyne

Ritu Verma, Department of Paediatrics,
NIMS Medical College, Jaipur, Rajasthan

Department of OBG and Gyne ,Senior Resident

Virendra Kumar Gupta, Assistant professor,
Department of Paediatrics, NIMS Medical College, Jaipur

Assistant professor , Department of Paediatrics

Sumit Bhatia, Department of Paediatrics,
NIMS Medical College, Jaipur, Rajasthan

Resident , Department of Paediatrics

Alok Purohit, Department of Paediatrics,
NIMS Medical College, Jaipur, Rajasthan

Professor and HOD, Department of Paediatrics

Published

2016-08-30

How to Cite

1.
Yadav R, Bhatnagar JP, Yadav G, Verma R, Gupta S, Gupta VK, Bhatia S, Purohit A. . Int Jour of Biomed Res [Internet]. 2016Aug.30 [cited 2020May30];7(8):600-5. Available from: https://ssjournals.net/index.php/ijbr/article/view/3469

Issue

Vol. 7 No. 8 (2016): Aug

Section

Original Research Articles

Dr. Jun Ren is a dedicated and experienced registered dietitian and nutritionist who is committed to helping people achieve their health goals through personalized nutrition plans. With a passion for promoting healthy eating habits and preventing chronic diseases, Dr. Ren has been able to assist numerous clients in improving their overall quality of life.

Leave a Comment