Epidemiology of Low Birth Weight in an Industrial Area in India

Misra, Madhusmita; Mishra, S.; Sharadamma,

doi:10.1093/tropej/41.6.374

Cited by 7 publications

(8 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This method of comparison, wherein the measures of birthweight in two groups are compared on their associations with other variables, with prior knowledge as to what these associations look like, is called “criterion related validation”[34]. Specifically, we found, in both groups, socioeconomic advantages to be associated with lower likelihood of low birthweight, consistent with previous studies[19], [21], [31]. We also found associations of birthweight and low birthweight with later growth failure that were consistent with those of earlier research in both groups[35].…”

Section: Discussionsupporting

confidence: 86%

“…While there are multiple studies of birthweight in India[15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], some of them well designed community-based cohorts[30], [31], [32], [33], they remain local studies. The NFHS-3 is the only source that provides data from a sample of individuals across the country and includes data from a majority of sociodemographic groups of the Indian population.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Patterning in Birthweight in India: Analysis of Maternal Recall and Health Card Data

2010

View full text Add to dashboard Cite

BackgroundNational data on birthweight from birth certificates or medical records are not available in India. The third Indian National Family Health Survey included data on birthweight of children obtained from health cards and maternal recall. This study aims to describe the population that these data represent and compares the birthweight obtained from health cards with maternal recall data in terms of its socioeconomic patterning and as a risk factor for childhood growth failure.Methodology/Principal FindingsThe analytic sample consisted of children aged 0 to 59 months with birthweight data obtained from health cards (n = 3227) and maternal recall (n = 16787). The difference between the card sample and the maternal recall sample in the distribution across household wealth, parental education, caste, religion, gender, and urban residence was compared using multilevel models. We also assessed the ability of birthweight to predict growth failure in infancy and childhood in the two groups. The survey contains birthweight data from a majority of household wealth categories (>5% in every category for recall), both genders, all age groups, all caste groups, all religion groups, and urban and rural dwellers. However, children from the lowest quintile of household wealth were under-represented (4.73% in card and 8.62% in recall samples). Comparison of data across health cards and maternal recall revealed similar social patterning of low birthweight and ability of birthweight to predict growth failure later in life. Children were less likely to be born with low birthweight if they had mothers with over 12 years of education compared to 1–5 years of education with relative risk (RR) of 0.79 (95% confidence interval [CI]: 0.52, 1.2) in the card sample and 0.70 (95% CI: 0.59, 0.84) in the recall sample. A 100 gram difference in a child's birthweight was associated with a decreased likelihood of underweight in both the card (RR: 0.95; 95% CI: 0.94, 0.96) and recall (RR: 0.96; 95% CI: 0.96, 0.97) samples.ConclusionsOur results suggest that in the absence of other sources, the data on birthweight in the third Indian National Family Health Survey is valuable for epidemiologic research.

show abstract

Section: Discussionsupporting

confidence: 86%

Section: Discussionmentioning

confidence: 99%

Patterning in Birthweight in India: Analysis of Maternal Recall and Health Card Data

2010

View full text Add to dashboard Cite

show abstract

“…Another study from urban population of Bhilai reports LBW proportion of 23% which is rather high for urban population [11].…”

Section: Discussionmentioning

confidence: 92%

Maternal Risk Factors Associated with Low Birth Weight Neonates in a Tertiary Care Hospital, Northern India

Agarwal¹

2012

J Community Med Health Edu

View full text Add to dashboard Cite

Low birth weight is ��= by many socio-economic factors like habitat, urban or rural, education, birth order, substance abuse by mother, religion and caste, age of mother nutritional status of mother, Body Mass Index, Hemoglobin level etc., quality of ante-natal care received (ANC) and spacing of pregnancies. Low birth weight babies pose challenge to the families and communities. They contribute major share in perinatal and neonatal mortality and also towards mental, physical and development challenges in pediatric population. Objective:To assess the impact of maternal social factors on the birth weight of newborn. Study setting:This study was conducted in a tertiary care hospital attached to Subharti medical college of Meerut District. Study design:Hospital based Cross sectional study.Study population: 325 women delivering live infants in the study setting.Study period: Six months i.e. from January 2011 to June 2011. Material and methods:All 325 mothers who delivered live infants in a tertiary care hospital attached to Subharti medical college, Meerut District were interviewed. Data was collected on a structured, pre-designed and pre-tested questionnaire. Statistical analysis: Data was entered in Microsoft Excel and the results were expressed as proportions. Results:The overall prevalence of LBW neonates was 32.3%. Majority (71.42%) of mothers was living in rural areas and 52.39% of the mothers belonged to joint families. 52.39% of the mothers were illiterate. Majority of mothers (76.19%) were housewives and their socio-economic status was IV th class (47.61%). The highest prevalence of LBW was found among mothers aged <18 years (42.86%), addicted to tobacco chewing (53.33%) and smoking (33.33%). Among mothers with pre pregnancy weight was less than 40 kg seen in 80.96%. Prevalence was seen (47.61%) of LBW was inversely proportional to the 6.0-8.0 gm Hemoglobin level and Primiparous mothers was found to be (42.86 %) and in parity of >5 (23.80%). Conclusion:Birth weight remained an important factor affecting the neonatal infant and childhood mortality and morbidity. Low birth weight babies are more likely to have disabilities in four of developmental delay, poor growth and mental disabilities. For reducing the prevalence of low birth weight, public health strategy needs to focus attention on better maternal nutrition and education.

show abstract

“…A community based study in rural areas of West Bengal, urban re-settlement of Delhi and Pune documented the magnitude of LBW as 31.3%, 39.1% and 29% respectively [6][7][8] . National Neonatal-Perinatal Database (NNPD) from secondary & tertiary care network (n=15) reported LBW as 31.3% (2002-03) 9 while isolated Indian hospital based studies at Orissa, Shimla, Bhilai and Amritsar, reported LBW as 39.8%, 27.8%, 23% and 16.3%, respectively 10,11,12,13 .…”

Section: Discussionmentioning

confidence: 99%

Comparative Analysis of Birth Weight in a Hospital Over a Decade: Low Birth Weight Still a Major Problem

Sachdeva

Nanda

Sachdeva

2013

J. Nepal Paedtr. Soc.

View full text Add to dashboard Cite

Introduction: The objective of this study was to compare the magnitude of birth weight and proportion of low birth weight in a hospital over a decade. Materials and Methods: A descriptive study was undertaken in a public funded hospital catering to rural and urban population of northern India. Pertinent information was collected for all intramural singleton births using structured proforma for a sample period in a calendar year. For comparison purpose birth data was extracted from log books for the corresponding period of previous decade also. Data management was done using MS excel sheet and analysis carried out by computing descriptive statistics using software statistical package. Results: The mean (2568 + 596.7 gm) & median (2600 gm) birthweight recorded for 2011 was low in-comparison to 2657 + 581.7gm (2750 gm) for 2001. The prevalence of low birth weight (LBW) was 36.1% (2011) in comparison to 30.5% (2001) and the state of deterioration was found to be statistically significant (p<0.001). Higher proportion of LBW birth was observed amongst un-booked ANC, pre-term, anemic mothers and whose residence was from outside the district of location of study institute (<0.001). Statistically significant (<0.001) and higher perinatal mortality was noticed in LBW neonates. Rising level of maternal education was protective against LBW. Mothers with their first pregnancy gave higher proportion of LBW births in comparison to mothers with higher gravida status (<0.001). DOI: http://dx.doi.org/10.3126/jnps.v33i1.6176 J Nepal Paediatr Soc. 2013;33(1):15-20.

show abstract

Epidemiology of Low Birth Weight in an Industrial Area in India

Cited by 7 publications

References 0 publications

Patterning in Birthweight in India: Analysis of Maternal Recall and Health Card Data

Patterning in Birthweight in India: Analysis of Maternal Recall and Health Card Data

Maternal Risk Factors Associated with Low Birth Weight Neonates in a Tertiary Care Hospital, Northern India

Comparative Analysis of Birth Weight in a Hospital Over a Decade: Low Birth Weight Still a Major Problem

Contact Info

Product

Resources

About