Relationship of anthropometric parameters of newborn with varying period of gestational age.
Birth weight has been universally used as a measure of intrauterine growth largely because of relative ease of its measurement in hospital setting and of its correlation with gestation. However birth weight by itself is not infallible. Infants of identical race, sex, gestational age and length have been known to differ in their body weights by up to 40%. Also birth weight is the sum of fat and lean body tissue. Weight gain represents the sum of increments of different body components including muscle, skeleton, adipose tissue and water. So it is rather a nonspecific measure of growth. (2) Further, in our country maximum births occur at home, where there is a paucity of weighing scales.
So alternative simple anthropometric measurements could be useful for assessing fetal growth. Studies from other workers also established the strong correlation of MAC as well thigh circumference with gestational age and early neonatal mortality. (3-7)
However such use is hampered by absence of normative data. Present study was performed with objective to find correlation between anthropometric measurements and gestational age, and to construct normograms for all the anthropometric measurements studied.
This provides base line data for indigenous population and can be gainfully employed for further studies to know whether simple anthropometric measurements other than birth weight will be useful to quantitate fetal growth and to identify at risk babies in rural community level.
MATERIAL AND METHOD:
Settings: Kempegowda institute of medical college and research center.
Duration: 1 year.
Inclusion Criteria: All the singleton live born babies born in hospital were included in the study.
A. All multiple born babies.
B. Babies with gross congenital anomalies.
C. Babies born to mothers with condition likely to influence fetal growth i.e. hypertensive disorders of pregnancy, gestational diabetes mellitus, chronic infections and illnesses are excluded.
D. Babies whose gestational age could not be accurately assessed i.e. >2 weeks difference between obstetrical and clinically assessed gestational age.
METHODOLOGY: Study was conducted on 1284 consecutive live births delivered at Kempegowda institute of medical college and research center. Infants with gross congenital anomalies, infants of diabetic mothers, toxemic mothers and infants whose gestational age could not be accurately assessed were not included in the study.
The gestational age of infants was calculated from the first day of LMP, and confirmed by clinical assessment using New Ballard Score. Newborns were subjected to the following anthropometric measurements within 48 hours of birth by standard techniques: Birth weight, Crown heel length, Head circumference, Chest circumference, Abdominal circumference, Thigh circumference, Calf circumference, Mid arm circumference, Skin fold thickness and Foot length. The data obtained was subjected to a computer-based analysis to derive mean, standard deviation, 10th, 50th, 90th percentile values and normograms.
STATISTICAL METHOD USED: A pre-tested proforma was used to collect data. Single exponential Smoothing technique has been used to smooth the data obtained to derive intrauterine growth curves.
OBSERVATIONS AND RESULTS: 1284 single live born babies were included in the study. As there were only 6 babies between 28-30 weeks of gestational age they were categorized as <30 wks. The normograms are presented as 10th, 50th, 90th percentiles with [+ or -] 2 SD for ten anthropometric measurements study.
These derived normograms shows there is a linear relationship between all the anthropometric measurements studied with gestational age. There is increase in all the anthropometric parameters with increasing gestational age up to 39-40 weeks, after which it started declining. All the anthropometric parameters measured were correlated well to gestational age (p<0.0001). Maximum correlation was found with chest circumference (0.763). The mean and SD of all the anthropometric measurements studied were comparable with other Indian studies but were lower than western studies.
[GRAPHIC 6 OMITTED]
[GRAPHIC 11 OMITTED]
[GRAPHIC 13 OMITTED]
[GRAPHIC 14 OMITTED]
[GRAPHIC 15 OMITTED]
DISCUSSION AND CONCLUSION: Construction of fetal growth curve is essential for recognition of babies with abnormal fetal growth at birth. Early identification of these at risk neonates helps for early referral in a rural setting.
As there is wide variation in the pattern of the intrauterine growth of babies in the developing and developed countries, it is necessary for all countries to develop their own standard to avoid over and under estimation of SGA babies.
These normograms can be gainfully employed for further studies to know whether simple anthropometric measurements other than birth weight will be useful to quantitate fetal growth.
The derived intrauterine weight curve in our study is comparable with other Indian studies but was below the growth curves of the western studies. (8, 9, 10)
All the anthropometric parameters studied show a linear relationship with increasing gestational age.
All the anthropometric parameters correlated well with gestational age (p<0.00.1)
Maximum co-efficient of correlation was found with chest circumference (0.763).
WHO also recommended that in areas where the early weighing of neonate is not feasible, community health workers should be trained to measure the chest circumference to find out "at risk" neonate. (11)
Further studies are required to know whether this simple anthropometric measurement can be used to quantitate fetal growth and to identify babies of abnormal fetal growth at rural community level.
(1.) Singh M. Care of Newborn. 6th edn. New Delhi: Sagar publications; 2004, 1-3, and 219-238.
(2.) Shiv Prasad S.R., Mohan M, Kumar A, Kapani V. Intrauterine growth curves for Midarm and thigh circumferences. Indian pediatrics 1989; 26: 343-347.
(3.) Bhargava SK, Ramji S, Kumar A, Man Mohan, Marwah J, Sachdev HPS. Mid-arm and chest circumferences at birth as predictors of low birth weight and neonatal mortality in the community. Br Med J 1985; 29: 1617-1619.
(4.) Bhatia BD, Tyagi NK. Birth weight: relationship with other fetal anthropometric parameters. Indian pediatrics 1984; 21: 833-838.
(5.) Sanasaw SR, Georgieff MK, Pereira GR. Mid-arm circumference and mid-arm circumference-head circumference ratios: Standard curves for anthropometric assessment of neonatal nutrition status. J Pediatr 1986; 109: 311-315.
(6.) Sharma JN, Sharma BS, Gupta ML, Saxena S, Sharma V. Mid arm circumference at birth as predictors of low birth weight babies and early neonatal mortality. Indian pediatrics 1986; 23: 915-919.
(7.) Excler JL, Sann L, Lasne Y, Picardo J. Anthropometric assessment of nutritional status in newborn infants. Discriminative value of mid arm circumference and of skin fold thickness. Early Hum Dev, 1985; 11: 169-178.
(8.) Lubchenco LO, Hansman C, Boyd E. Intrauterine growth in length &HC as estimated from live births at gestational ages from 26-42 weeks. Pediatrics 1966; 37: 403-408.
(9.) Usher R, McLean F. Intrauterine growth of live born Caucasian infants at sea level standards obtained from measurements in 7 dimensions of infants born between 25 and 44 weeks of gestation. Journal of pediatrics 1969; 74: 901-910.
(10.) Ghosh S, Bhargava SK, Madhavan S, Tasker AD. Intrauterine growth of North Indian babies. Pediatrics 1971; 47: 826-830.
(11.) WHO Physical status. The use and interpretation of anthropometrics: Report of WHO expert committee. Tech. Report. Series. 854. Geneva. WHO.1995.
Narendra K. S , Madhu G. N , Adarsha E 
[1.] Narendra K. S.
[2.] Madhu G. N.
[3.] Adarsha E.
PARTICULARS OF CONTRIBUTORS:
[1. ]Junior Resident, Department of Paediatrics, Kempegowda Institute of Medical Sciences and Research Centre, Bangalore.
[2.] Junior Resident, Department of Paediatrics, Kempegowda Institute of Medical Sciences and Research Centre, Bangalore.
[3.] Associate Professor, Department of Paediatrics, Kempegowda Institute of Medical Sciences and Research Centre, Bangalore.
NAME ADDRESS EMAIL ID OF THE CORRESPONDING AUTHOR:
Dr. Narendra K. S, S/o, Late Siddashetty K, #1486, Taluk Office Road, K. R. Pet--571426, Mandya District, Karnataka, India.
Date of Submission: 24/04/2014.
Date of Peer Review: 25/04/2014.
Date of Acceptance: 05/05/2014.
Date of Publishing: 16/05/2014.
Table 15: Correlations between Gestational age and anthropometric parameters Anthropometric parameters Correlation P-value Birth weight 0.710 <0.0001 Crown heel length 0.726 <0.0001 Head circumference 0.6X7 <0.0001 Chest circumference 0.763 <0.0001 Abdominal circumference 0.751 <0.0001 Mid arm circumference 0.664 <0.0001 Calf circumference 0.654 <0.0001 Skin fold thickness 0.646 <0.0001 Foot length 0.523 <0.0001 Mid thigh circumference 0.727 <0.0001
|Printer friendly Cite/link Email Feedback|
|Author:||Narendra, K.S.; Madhu, G.N.; Adarsha, E.|
|Publication:||Journal of Evolution of Medical and Dental Sciences|
|Date:||May 19, 2014|
|Previous Article:||Bone morphogenetic proteins: a new vista in bone regeneration.|
|Next Article:||Intraductal papilloma of salivary gland.|