Prevalence and Causes of Low Birth Weight in India.
Introduction: The aims of the study are (i) to understand inter-zone and interstate variation of low birth weight (LBW) and (ii) to determine the key variables to reduce LBW in India. Methods: Using the latest National Family Health Survey (NFHS) data of 2005-06 which showed the percentage distribut...
| Publicado en: | Malaysian Journal of Nutrition Vol. 17; no. 3; pp. 301 - 314 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Nutrition Society of Malaysia
2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=90482867&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 90482867 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1394035X 6CKY jtl: Malaysian Journal of Nutrition issn: 1394035X maglogo: N pubinfo: dt: 2011 vid: 17 iid: 3 pid: 49148 pub: Nutrition Society of Malaysia artinfo: ui: 90482867 90482867 104233560 90482867 ppf: 301 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Prevalence and Causes of Low Birth Weight in India. aug: au: Bharati, P. Pal, M. Bandyopadhyay, M. Bhakta, A. Chakraborty, S. affil: Sociological Research Unit, Indian Statistical Institute, 203 BT Road, Kolkata 700108 sug: subj: Infant, Low Birth Weight Maternal Behavior Infant, Newborn Human India Surveys Socioeconomic Factors Prevalence Risk Factors Sample Size Data Analysis Software Descriptive Statistics Analysis of Variance Logistic Regression Female Male Odds Ratio Urban Areas Rural Areas Infant, Newborn: birth-1 month Female Male ab: Introduction: The aims of the study are (i) to understand inter-zone and interstate variation of low birth weight (LBW) and (ii) to determine the key variables to reduce LBW in India. Methods: Using the latest National Family Health Survey (NFHS) data of 2005-06 which showed the percentage distribution of LBW infants, ANOVA and post-hoc test were performed to determine the spatial variation of birth weight. The covariates which influence LBW fell into three categories: (i) social variables which included location, mother's education, religion, access of mothers to newspapers, television and family structure; (ii) economic variable namely, the wealth index, and (iii) biological variables which consisted of sex of the children, birth order, and mother's body mass index (BMI). Three models of Logistic regression were carried out to examine the influence of the combinations of these direct and indirect factors. Results: In India, nearly 20% of new borns have LBW. Males have less frequency of LBW than females. The North-east zone has the lowest prevalence of LBW while the north zone has the highest. Mother's education, access to TV and nuclear family, and intake of iron tablets are the most important socio-economic influences on the determination of birth weight in India. Conclusion: It is essential to provide proper diet and nutritional care of mothers during pregnancy. Increased education of mothers through programmes in TV and newspapers articles have significant roles to play in reducing LBW in India. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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