Estimation of Gestational Age Using Neonatal Anthropometry: A Cross Sectional Study

Document Type : Original Article

Authors

Department of Paediatrics,Aarupadi Veedu Medical College and Hospital, VMRF (Deemed to be University), Puducherry, India

Abstract

Background: Neonatal mortality rate accounts for 20.3 per 1000 live births in India. One of the significant predictors of neonatal mortality is low birth weight. Weight is the most extensively used parameter. However, there are alternate anthropometry parameters, such as mid-arm circumference, mid-thigh circumference, and mid-calf circumference, which can be used to assess newborns' growth and identify the newborns at risk. The current study aimed to determine the correlation between limb anthropometric measurements and gestational age and to derive the mean and standard deviation for all limb anthropometric measurements of the newborn with gestational age.
Methods: The study included 400 live newborn babies admitted to the NICU/PNW at the Aarupadai Veedu Medical College and Hospital for routine observation from December 2020 to October 2022. Within 48 hours after birth, newborns were evaluated for anthropometric measures using standard techniques.
Results: All limb anthropometric measurements increased as gestational age increased to 39-40 weeks, which began to decline after 40 weeks. There was a strong correlation between limb anthropometric measurement with gestational age (p < 0.001), with mid-thigh circumference exhibiting the highest correlation (r=0.652).
Conclusion: The findings of the current study suggest that besides birth weight, other basic anthropometric parameters, such as limb anthropometry (e.g., mid-thigh circumference), can be effectively used to quantify prenatal development and identify infants at risk.
Conducting an analysis of anthropometric measures after delivery allows for a rapid assessment of infants with atypical growth patterns, making them more susceptible metabolic complications.
 
 

Keywords


  1. De Costa A, Moller AB, Blencowe H, Johansson EW, Hussain-Alkhateeb L, Ohuma EO, et al. Study protocol for WHO and UNICEF estimates of global, regional, and national preterm birth rates for 2010 to 2019. PLoS One. 2021;16(10):e0258751.
  2. Cutland CL, Lackritz EM, Mallett-Moore T, Bardají A, Chandrasekaran R, Lahariya C, et al. Low birth weight: Case definition & guidelines for data collection, analysis, and presentation of maternal immunization safety data. 2017;35(48Part A):6492.
  3. Blencowe H, Krasevec J, de Onis M, Black RE, An X, Stevens GA, et al. National, regional, and worldwide estimates of low birthweight in 2015, with trends
    from 2000: a systematic analysis. Lancet Glob Health. 2019;7(7):e849-60.
  4. Thawani R, Dewan P, Faridi MMA, 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.
  5. Narendra KS, Madhu GN, Adarsha E. Relationship of anthropometric parameters of newborn with varying period of gestational age. J Evol Med Dent Sci. 2014;3(20):5484-91.
  6. Hirudayakanth K, Gadama L, Dadabhai S, Katumbi C, Mvula H, Makanani B, et al. Mid-thigh circumference as an indicator of nutritional status to predict adverse pregnancy outcomes among HIV-infected and HIV-uninfected women in Malawi. BMC Pregnancy Childbirth. 2021;21(1):1-9.
  7. Doddamani R, Jyothi SD, Pujar TV. Interpretation of low birth weight babies by anthropometric measurements in South India. Int J Pediatr Res. 2018;5(7):368–74.
  8. Sreeramareddy CT, Chuni N, Patil R, Singh D, Shakya B. Anthropometric surrogates to identify low birth weight Nepalese newborns: A hospital-based study. BMC Pediatr. 2018;8(1):1–6.
  9. Kokku PK, Singh H, Kotha R, Jadhavo A, Maddireddi A, Cherukuri N, et al. Calf circumference to detect low birth weight babies: a comparative study. Int J Contemp Pediatrics. 2019;6(6):2302–8.
  10. Annigeri S, Ghosh A, Hemram S, Sasmal R, Mythri J. Utility of anthropometric measures to identify small for gestational age newborns: A study from Eastern India. J Family Med Prim Care. 2022;11(6):3125.