Maternal determinants of low birth weight in a rural block of Haryana: a community based study (original) (raw)
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Prevalence and associate factors of low birth weight in North Indian babies: a rural based study
International Journal Of Community Medicine And Public Health, 2017
Background: LBW is universally used as an indicator of health status and is an important subject of national concern and a focus of health policy. LBW is the strongest determinant of infant morbidity and mortality in India. Regional estimates of LBW include 28% in south Asia, 13% in sub-Saharan Africa and 9% in Latin America. Among regions, South Asia has the highest incidence of LBW; with one in four newborns has LBW. In 2011, Indian Statistical Institute reported nearly 20% of new born have LBW in India. DLHS-4 (2012-2013) in Haryana found that the prevalence of LBW was as 12.7%. The aims and objectives of study were to know the prevalence and its associated factors of low birth weight in rural area of Haryana.Methods: The beri block (Jhajjar) which is rural field practice of department of Community Medicine Pt B D Sharma PGIMS Rohtak (Haryana) India, has one CHC Dighal having 20 sub-centers. 10 sub-centers were selected by simple random sampling from these 20 sub-centres and 800 ...
International Journal Of Community Medicine And Public Health
Background: Birth weight is a major determinant of child’s health and nutrition. There are various factors which determine birth weight like maternal age, parity, socio economic status etc. A new born weighing less than 2.5 kg is classified as a low birth weight (LBW) baby. Low birth weight can be prevented by improving health status and socio-economic status of the community, improving antenatal care and also by providing proper health education. Methods: A record-based study was carried out in a tertiary care facility of central India. Labour room records from January 2021 to December 2021 were reviewed. The details on birth weight, gender, gestational age, parity, and mode of delivery were obtained and recorded. The data obtained was entered in Microsoft office excel software. Statistical analysis was carried out with the help of open Epi. Results: Out of 4266 records which were studied 46.65% mothers were in the age group 21-25 years and 53.52% were multiparas. The proportion of...
Predictors of low birth weight: a retrospective study from rural India
The World Health Organization (WHO) has defined the term Low Birth Weight (LBW) as birth weight less than 2500 grams. Nearly, 50% of neonatal deaths occur among LBW babies. The survivors among them are at a high risk of developing malnutrition, recurrent infections and Neuro-developmental handicaps. The purpose of this study was to find out the proportion of low birth weight and to study the correlates of low birth weight from the available data in a health care facility. Methods: The present study was included the retrospective analysis of delivered cases in rural hospital, Bhidi dist. Wardha. Data were collected from delivery register maintained by hospital staff. The delivery register contain the information about maternal age, parity, child birth weight and sex of child. Over a period of 5 years data from January 2005 to January 2010 was taken for study purpose. Results: An analysis of 455 live births revealed that, Average birth weight of all new-borns was 2.67 ± 0.42 kg and 24.4% of new-borns were low birth weight babies and this percentage was higher for female new-borns (63.
IOSR Journal of Dental and Medical Sciences, 2013
Birth weight is the single most important criteria for determining the neonatal and infant survival. Low Birth Weight is the result of complex interplay of various social and reproductive health factors. A cross-sectional community based retrospective study was carried out in rural West Bengal among 540 birth episodes. Proportion of low birth weight infants were found significantly more among mothers elderly & teenaged, less educated, addicted to tobacco, Multipara and primipara, received less antenatal care, female infants, delivered at home, short stature, anaemic and had obstetric complications. Focused attention to reduce low birth weight babies, community specific strategies such as improving awareness of the community and utilization of existing maternal health services is essential.
Egyptian Pediatric Association Gazette, 2020
Background Low birth weight (LBW) is a challenging multifaceted public health problem as it associated with infant mortality. Present study was undertaken to assess magnitude and risk factors associated with LBW in West Bengal, India. A community-based cross-sectional study was carried out among 2611 birth episodes in different districts of West Bengal using multi-stage stratified cluster sampling, followed by systematic random sampling methodology. Participants were interviewed by semi-structured questionnaires containing socio-demographic, pregnancy, and mothers’ health-related variables. Results This study revealed that 21.49% infants were born LBW. The risk of LBW was higher among women those age < 20 years and BMI < 18.5 kg/m2. The odd of giving LBW baby were higher among women having weight < 45 kg and height < 150 cm. Anemic (AOR 3.33) and hypertensive (AOR 1.69) women were more likely to give LBW baby. Preterm delivery (AOR 1.93) and history of chronic illness (A...
GSC Biological and Pharmaceutical Sciences
Birth weight is one of the important determinants of the chance of new born babies to survive and experience healthy growth and development. So present study was done to find some risk factors associated with delivering low birth weight (LBW) babies by the tribal womens in Mayurbhanj district of Odisha, India. A cross sectional, institution-community based study was undertaken over a period of 3 months on mothers at various hospitals and community in Mayurbhanj district of Odisha. The study group consisted of 100 mothers who had LBW babies and compared with 100 mothers who had normal birth weight babies, as control group. Factors like age at marriage, education of mother, family income, weight before pregnancy, weight gain during pregnancy, number of parity, completed months of pregnancy, hemoglobin level, blood pressure, infection, chronic disease, physical work, intake of iron and folic acid, alcohol consumption, use of tobacco etc. were compared between the two groups. Among the ...
Low birth weight and its risk factors in a rural area of South India
International Journal of Community Medicine and Public Health, 2015
Background: Birth weight is a reliable and sensitive predictor of a new-born's chances for survival, growth and longterm physical and psychosocial development. There are few studies done in rural South India documenting valuable data such as detailed maternal nutritional intakes and psychological factors, and linking them to LBW. The objective was to estimate the proportion of LBW in a maternity center, Snehalaya hospital, Solur, Ramnagar district, Karnataka and to assess the factors affecting birth weight. Methods: We conducted a cross-sectional study in a maternity centre, Snehalaya, in Solur Village, Ramnagar District, Karnataka between September and November 2014. Consecutive sampling was used to recruit 144 patients and the questionnaire was then administered to them. Results: Among the 144 women, the proportion of LBW was found to be 14.6% and the mean birth weight was 2.6± 0.4kg. We also found a significant association of birth weight with per capita income, maternal pregnancy weight gain, number of antenatal visits, maternal education, tobacco consumption, and stress and egg consumption in diet. Multivariate analysis showed significant association of birth weight with maternal pregnancy weight gain, tobacco consumption and stress. Conclusions: A greater number of the subjects were found to have access to the basic antenatal care measures such as nutrition, free iron supplements and regular antenatal checkups and this has shown to have a positive effect on the birth weight in the study population. Though various factors have been already proven to be associated, psychological and nutritional factors have to be concentrated henceforth.
Socio-economic and nutritional determinants of low birth weight in India
North American Journal of Medical Sciences , 2014
Background: Low birth weight (LBW) is an important risk factor for childhood morbidity and mortality, consequently an important public health concern. Aim: This study aims to identify significant socio-economic and nutritional determinants associated with LBW in India. Materials and Methods: Data from 2005 to 2006 National Family Health Survey-3 (NFHS-3) of India was analyzed. A total of 20,946 women (15-49 years) who gave birth at least once 5 years preceding the NFHS-3 were included in this study. Infant's LBW (<2500 grams) as outcome variable was examined in association with all independent predictors as infant's sex, maternal household wealth status, caste, age, education, body mass index (BMI), stature, anemia level, parity, inter-pregnancy interval, antenatal care received, and living place. Results: Almost 20% of the infants were born with LBW. Mother's low education level, BMI <18.5, short stature (height <145 centimeters) and lack of antenatal visits (<4 visits) were significant predictors of LBW. Male gender has a protective effect against LBW. Conclusion: Maternal education, nutritional status and antenatal care received are key determinants that need to be addressed to reduce prevalence of LBW in India. Continue implementation of multifaceted health promotion interventions are needed to address these factors effectively.
Correlates of Low Birth Weight: A Hospital-Based Study From Gangtok, India
Global Pediatric Health, 2014
Background. Low birth weight is the single most important factor that determines the chances of child survival. A recent annual estimation indicated that nearly 8 million infants are born with low birth weight in India. The infant mortality rate is about 20 times greater for all low birth weight babies. Methods. A matched case-control study was conducted on 130 low birth weight babies and 130 controls for 12 months (from August 1, 2007, to July 31, 2008) at the Central Referral Hospital, Tadong, East District of Sikkim, India. Data were analyzed using the Statistical Package for Social Sciences, version 10.0 for Windows. Chi-square test and multiple logistic regression were applied. A P value less than .05 was considered as significant. Results. In the first phase of this study, 711 newborn babies, borne by 680 mothers, were screened at the Central Referral Hospital of Sikkim during the 1-year study period, and the proportion of low birth weight babies was determined to be 130 (18.3%). Conclusion. Multiple logistic regression analysis, conducted in the second phase, revealed that low or middle socioeconomic status, maternal underweight, twin pregnancy, previous history of delivery of low birth weight babies, smoking and consumption of alcohol during pregnancy, and congenital anomalies had independent significant association with low birth weight in this study population.