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ISSN: 2394-4137 (E) 2394-6318 (P)

IJIMS.2018.103

Type of Article: Original Research

Volume 5; Issue 3: 2018

Page No.: 587-591

DOI: 10.16965/ijims.2018.103

 

SOCIO-DEMOGRAPHIC DETERMINANTS OF LOW BIRTH WEIGHT IN NORTHEASTERN CITY, INDIA

Nirmali Gogoi.

Associate Professor (Child Health Nursing), Sankar Madhab College of Nursing, Assam down town University, Guwahati, Assam, India.

Address for Correspondence: Ms. Nirmali Gogoi,  Associate Professor (Child Health Nursing), Sankar Madhab College of Nursing, Assam down town University, Guwahati, Assam, India.  E-Mail: nirmali.gogoi111@gmail.com

ABSTRACT:

Introduction and objectives: Low birth weight is an index of our status of public health, maternal health and nutrition. The major challenge in the field of public health is to identify the factors influencing low birth weight and to institute remedial measures. The study was attempted to assess prevalence of low birth weight and its risk factors affecting low birth weight was conducted among 300 mothers and their respective live born baby in GMCH, Guwahati metro, Assam.

Materials and Methods: A cross sectional study design was carried out in a government hospital among 300mothers using interviewer administered questionnaire. All 300 postnatal mothers who delivered in the hospital during study period were included in the study except still births. All babies were weighted on standard beam balance within 24 hours of delivery and mother’s height was measured by height measuring stand. Bivariate and multivariate logistic regression was employed to identify the predictors at p<0.001 and p<0.05.

Results and analysis: The prevalence of low birth weight was found as 26.0% (95%, CL=21.36-31.24) in 300 samples. Mode of delivery had significant association with Birth weight of newborn, X2 (1, N = 300) = 7.733, P =.005. . Risk of LBW was more than two times as high among mothers with normal delivery than that of Caesarean section (OR=2.09*, 95%CI: 1.24-3.52). Similarly, rural residence(OR=1.24, 95%CI: 0.63-2.44), illiterate mother (OR=1.17 , 95%CI: 0.70-1.97), illiterate husband (OR=1.09, 95%CI: 0.65-1.82), employed mother  (OR=2.23, 95%CI: 0.75-6.64), unskilled husbands (OR=1.04, 95%CI: 0.53-2.02), joint family (OR=1.33, 95%CI: 0.75-2.36), religion other than Hinduism (OR=1.54, 95%CI: 0.87-2.72) and low monthly income less than Rs. 20000 (OR=1.17, 95%CI: 0.69- 1.96) were found to be higher risk of LBW.

Discussion and conclusion: The prevalence of low birth weight was found to be very high and it was associated with many risk factors related to maternal health and services. Hence it is recommended to improve maternal health through strengthening the existing maternal services at the basic level of community.

Key words: Low Birth Weight, Maternal Age, Parity, ANC Visit, HB% Level, Gestational Age, High Risk Behavior.

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