Assessment of gestational age using anthropometric parameters in newborns


  • Bharathi Asokan Department of Pediatrics, Government Cuddalore Medical College (Erstwhile Rajah Muthiah Medical College and Hospital), Chidambaram Tamil Nadu, India
  • Saravanan S. Department of Pediatrics, Government Cuddalore Medical College (Erstwhile Rajah Muthiah Medical College and Hospital), Chidambaram Tamil Nadu, India



Anthropometric parameters, Head and chest circumference, Length, Foot length


Background: Estimation of gestational age was needed for the measurement of intrauterine growth and associated conditions, such as whether infants with a low birth weight are preterm or growth-retarded, and identifying high-risk status for developmental delay. Menstrual history was unreliable in most of the cases and ultrasound was not feasible in low resource area, so in this study we were used anthropometric measurements as a simple tool for assessment of gestational age.

Methods: This study was a cross sectional observational study conducted in 380 babies born in January 2020-December 2022 in department of pediatrics, Rajah Muthiah Medical College and Hospital. The data were collected using semi-structured questionnaire and anthropometric assessment. The Epi info 7 software was used to analyse the data.

Results: The mean gestational age among neonates studied was 37.06±2.32 weeks, the mean head circumference was 33.48±1.01 cm and majority of them 141 babies had head circumference 33 cm, the mean chest circumference was 30.69±1.08 cm. and majority of the babies, had chest circumference of 30 cm, the mean foot length was 7.64±0.24 cm, the mean length of the babies was 47.9±1.26 cm.

Conclusions: Our study conclude that anthropometeric parameters in combination (head, chest circumference, length, foot length, birth weight) and as single parameters (foot length) was a simple and easy tool for assessing gestational age in low resource setting where we can make quick referral.


World Health Organization. Child health profile: India. Geneva: Department of Child and Adolescent Health and Development, World Health Organization, 2007: 7.

Howson CP, Kinney MV, Lawn JE, McDougall L. Born too soon: preterm birth matters. Reprod Health. 2013;10(1):1.

Moller AB, Petzold M, Chou D, Say L. Early antenatal care visit: a systematic analysis of regional and global levels and trends of coverage from 1990 to 2013. Lancet Glob Health. 2017;5(10):977-83.

Alexander GR, Allen MC. Conceptualization, measurement, and use of gestational age. Clinical and public health practice. J Perinatol. 1996;16(1):53-9.

Althabe F, Belizán JM, Mazzoni A, Berrueta M, Hemingway-Foday J, Koso-Thomas M, et al. Antenatal corticosteroids trial in preterm births to increase neonatal survival in developing countries: study protocol. Reprod Health. 2012;9(1):22.

Liu L, Oza S, Hogan D, Perin J, Rudan I, Lawn JE, et al. Global, regional, and national causes of child mortality in 2000-13, with projections to inform post-2015 priorities: an updated systematic analysis. Lancet. 2015;385(9966):430-40.

Lawn JE, Davidge R, Paul VK, Xylander SV, Johnson JDG, Costello A, et al. Born too soon: care for the preterm baby. Reprod Health. 2013;10(1):5.

Hall J, Froster Iskenius UG, Allanson JE. Handbook of normal physical measurements. Oxford med publication; 1989: 221-51.

Das NK, Nandy S, Mondal R, Ray S, Hazra A. Gestational age assessment with anthropometric parameters in newborns. Oman Med J. 2018;33(3):229.

Tiruneh C. Estimation of gestational age using neonatal anatomical anthropometric parameters in Dessie Referral Hospital, Northeast Ethiopia. Risk Manag Healthc Policy. 2020;13:3021-9.

Kumar V, Tikkas DR, Ramteke DS, Shrivastava DJ. Assessment of gestational age using anthropometric parameters: an observational study in India. Int J Pediatr Res. 2017;4(11):672-80.

Thawani R, Dewan P, Faridi M, Arora SK, Kumar R. Estimation of gestational age, using neonatal anthropometry: a cross-sectional study in India. J Health Popul Nutr. 2013;31(4):523-30.

Yadav R, Bhatnagar P, Gunjan. Gestational age assessment in newborns using regression equation of anthropometric parameters singly or in combination. Int J Biomed Res. 2016;7(8):600-5.

Senthilkumar K, Senthilprabhu R, Mythili B, Zacharias AN. Prediction of gestational age of newborn by measurement of foot length at birth. Int J Comtem Pediatr. 2019;6(1):135-9.






Original Research Articles