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Correlation of birth weight with other anthropometric measurements of newborns.

Journal Name:

  • Indian Journal of Basic & Applied Medical Research

Publication Year:

  • 2013

Key Words:

Author NameUniversity of Author
Abstract (2. Language): 
Introduction: Birth weight is an important indicator of child survival. Appropriate and timely care of a newborn specially if they are born with low birth weight is important but this is difficult in developing countries since most of deliveries are conducted at home where adequate facilities to weight a newborn does not exist. The main objective is to find out appropriate proxy indices for low birth weight, correlation between birth weight and other anthropometric measurements of newborns. Methods: One hundred fifty newborns examined within 48 hours of their birthin the Department of Obstetrics and Gynecology/Pediatrics at Guru Gobind Singh Medical College and Hospital, Faridkot. They were weighed naked on electronic weighing scale to the nearest of 5 grams and all anthropometric measurements taken by a fiber glass measuring tape to the nearest of 0.1 cm. Results: All parameters were significantly (p<0.001) correlated to each other. With regard to birth weight, the chest circumference (CC) showed the highest correlation (r=0.948) as compared to other anthropometric parameters.CC is best surrogate to predict low birth weight and cutoff point of CC is 29.45 cm at highest sensitivity and specificity of 89.9%. When there is chest deformity use mid-calf circumference(MCC) as an alternative to CC and cutoff point for MCC is 10.75 cm at best sensitivity and specificity. Conclusion: Measurement of Chest circumference being simple, easy, cheap and reliable method for identification of low birth weight.
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REFERENCES

References: 

1. Physical Status: the use and interpretation of anthropometry. Report of a WHO expert committee. WHO
Technical Report Series, 1995, 854:121-160.
2. Ghai OP, Gupta P and Paul VK. Ghai’s essential pediatrics, 6th edition, CBS Publisher & Distributors. New
Delhi 2004; 128-129.
877
Indian Journal of Basic & Applied Medical Research; September 2013: Issue-8, Vol.-2, P. 870-879
2
www.ijbamr.com
3. The World Health Organization report. The newborn health that went unnoticed, prenatal mortality. A
listing of available information. World Health Organization, Geneva, 1996.
4. Lawn JE, Cousens S and Zupan J.Lancet neonatal survival steering team: 4 million neonatal deaths:
When? Where? Why? Lancet, 2005; 365: 891-900.
5. Gogia S and Sachdev HS. Home visits by community health workers to prevent neonatal deaths in
developing countries: A systemic review. Bulletin of theWorld Health Organization. 2010; 88: 658.
6. Blanc AK and Wardlaw T. Monitoring low birth weight: An evaluation of international estimates and an
updated estimation procedure. Bulletin ofthe World Health Organization. 2005; 83: 178-185.
7. United Nations Children’s Fund (UNICEF). The state of the world’s children. 2005 New York.
8. Kleigman RM .Intrauterine growth restriction. In: Martin RJ, Fanaroff AA. Neonatal-perinatal medicine.
8th edition. Mosby. Philadelphia 2006; 271-306.
9. Darmstadt GL, Bhutta ZA, Cousens S, Adam T, Walker N and de Bermis L. Lancet neonatal survival
steering team: Evidence–based, cost–effective interventions: How many newborn babies can we save?
Lancet.2005; 365: 977-998.
10. Bhargava SK, Ramji S, Kumar A, Mohan M, Marwah J and Sachdev HP. Mid arm and chest
circumferences at birth as predictors of low birth weight and neonatal mortality in the community. Br Med
J. 1985; 291(6509): 1617-1619.
11. Sharma JN, Saxena S and Sharma U. Thigh circumference at birth as the best predictor of low birth weight
babies. Indian Pediatr. 1989; 26: 18-21.
12. Huque F and Hussain AM. Detection of low birth weight newborn babies by anthropometric measurements
in Bangladesh. Indian J Pediatr. 1991; 58(2): 223-231.
13. Diamond ID, el-Aleem AM, Ali MY, Mostafa SA, el-Nashar SM and Guidotti RJ. The relationship
between birth weight, and arm and chest circumference in Egypt. J Trop Pediatr. 1991; 37(6): 323-326.
14. Goto E. Meta analysis: Identification of low birth weight by other anthropometric measurements at birth in
developing countries. J Epidemiol. 2011; 21(5): 354-362.
15. Gupta V, Hatwal SK, Mathur S, Tripathi VN, Sharma SN, Saxena SC and Khadwal A. Calf circumference
as a predictor of low birth weight babies. Indian Pediatr. 1996; 33: 119-120.
16. Kapoor SK, Kumar G and Anand K. Use of mid arm and chest circumferences to predict birth weight in
rural north India. J Epidemiol Community Health, 1996; 50(6): 683-686.
17. Mehta S, Tandon A, Dua T, Kumari S and Singh SK. Clinical assessment of nutritional status at birth.
Indian Pediatr. 1998; 35: 423-428.
18. Dhar B, Mowlah G, Nahar S and Islam N. Birth weight status of newborns and its relationship with other
anthropometric parameters in a public maternity hospital in Dhaka, Bangladesh. J Health PopulNutr. 2002;
20(1): 36-41.
19. Naik DB, Kulkarni AP and Aswar NR. Birth weight and anthropometry of newborns. Indian J Pediatr.
2003; 70(2): 145-146.
878
Indian Journal of Basic & Applied Medical Research; September 2013: Issue-8, Vol.-2, P. 870-879
3
www.ijbamr.com
20. Ezeaka VC, Egri-Okawaji MT, Renner JK and Grange AO. Anthropometric measurements in the detection
of low birth weight infants in Lagos. Niger Postgrade Med J. 2003; 10(3): 168-172.
21. Kadam YR, Somaiya P and Kakade SV. A study of surrogate parameters of birth weight. Indian J
Community Med. 2005; 30: 89-91.
22. Sajjadian N, Shajari H, Rahimi F, Jahadi R and Barakat M G. Anthropometric measurements at birth as
predictor of low birth weight in Tehran, Iran. Health, 2011; 3: 752-756.
23. Kumar S, Jaiswal K, Dabralm, Malhotra AK and Verma BL. Calf circumference at birth: A screening
method for detection of low birth weight. Indian J Community Health, 2012; 24(4): 336-341.
24. Kaur and Bansal R. Anthropometric determinants of low birth weight in newborns of Hoshirpur district
(Punjab) - A hospital based study. Human Biology Review, 2012; 1(4): 376-386.

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