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Maternal anthropometry as a predictor of birth weight

  • Shamsun Nahar (a1) (a2), C G N Mascie-Taylor (a1) and Housne Ara Begum (a1) (a3)
  • DOI: http://dx.doi.org/10.1017/S1368980007217975
  • Published online: 01 September 2007
Abstract
AbstractObjective

To determine whether maternal anthropometry predicted birth weight, and if so, to identify which cut-offs provided the best prediction of low birth weight (LBW) in a field situation.

Design

Community-based longitudinal study.

Setting

A rural union of Bhaluka Upazila, Mymensingh, located 110 km north-west of Dhaka, the capital of Bangladesh.

Participants

A total of 1104 normotensive, non-smoking pregnant women who attended community nutrition centres were studied from first presentation at the centre until delivery of their child.

Results

Most of the pregnant mothers were between 20 and 34 years of age. Over one-third of the women were nulliparous, while 12.8% were multiparous (parity ≥ 4). Most (93%) mothers registered between the 3rd and 5th month of pregnancy. The frequency of LBW ( < 2500 g) was 17%. Polynomial regression analyses showed that the best predictors of birth weight (based on adjusted R2 values) were in general weight at registration and weight at month 9, with adjusted R2 ranging from 2.5% to nearly 20%. Sequential regression analyses with height and weight showed that there was a significant effect of height after removing the weight variables, and adjusted R2 increased in all analyses. Weight and height at registration month continued to be the best predictors of LBW. Sensitivity and specificity curves were drawn for each registration month, body mass index and different weight gain groups, and using different weight and height combinations. The results showed that, for registration month 3–5, a combination of weight ( ≤ 45 kg) and height ( ≤ 150 cm) gave the highest sensitivity, which was 50%. However, maternal weight ≤ 43 kg in pregnancy month 3–5 alone gave the highest sensitivity of 80%.

Conclusion

The best predictor of birth weight as a continuous variable was maternal weight at registration, each 1 kg increase in weight at registration being associated with an increase in birth weight of about 260 g. Maternal weight ≤ 43 kg in pregnancy month 3–5 alone gave the highest sensitivity of 80%. A combination of initial weight and height of the mother was not as good a predictor of LBW as weight alone.

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*Corresponding author: Email shamsun20@gmail.com
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9JM Parkin , EN Hey , JS Clowes . Rapid assessment of gestational age at birth. Archives of Disease in Childhood 1976; 51: 259–63.

10SM Ceesay , AM Prentice , TJ Cole , F Foord , LT Weaver , EM Poskitt , . Effects on birth weight and perinatal mortality of maternal dietary supplements in rural Gambia: 5 year randomised controlled trial. British Medical Journal 1997; 315: 786–90.

16E Karim , CGN Mascie-Taylor . The association between birth weight, sociodemographic variables and maternal anthropometry in an urban sample from Dhaka, Bangladesh. Annals of Human Biology 1997; 24: 387401.

21S Kardjati , JA Kusin , C de With . Energy supplementation in the last trimester of pregnancy in East Java: I. Effect on birthweight. British Journal of Obstetrics and Gynaecology 1988; 95: 783–94.

22AB Esguerra , AN Diamante , MM Jr Ramos , VS Doctor , CB Valdes , RR Pagorogon . Concise screening scales for high-risk mothers and newborns. In: Del Mundo F, E Ines-Cuyegkeng , DM Aviado eds, Primary Maternal and Neonatal Health: A Global Concern. New York: Plenum Press, 1983, 347–69.

23A Kelly , J Kevany , M de Onis , PM Shah . A WHO Collaborative Study of Maternal Anthropometry and Pregnancy Outcomes. International Journal of Gynaecology and Obstetrics 1996; 53: 219–33.

25S Karan , BC Mathur . Risk factors in mothers and newborn. Indian Pediatrics 1987; 54: 3540.

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