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image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Thesis . 2017
License: CC BY
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Thesis . 2017
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://dx.doi.org/10.20372/na...
Thesis . 2017
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://dx.doi.org/10.20372/na...
Thesis . 2017
License: CC BY
Data sources: Datacite
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Thesis . 2017
License: CC BY
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PREVALENCE AND ASSOCIATED FACTORS OF LOW BIRTH WEIGHT AMONG NEWBORN BABIES IN DESSIE TOWN HEALTH INSTITUTIONS AMHARA REGION, ETHIOPIA

Authors: DESALEGN ABEBAW;

PREVALENCE AND ASSOCIATED FACTORS OF LOW BIRTH WEIGHT AMONG NEWBORN BABIES IN DESSIE TOWN HEALTH INSTITUTIONS AMHARA REGION, ETHIOPIA

Abstract

Introduction: Globally, more than 20 million infants are born with Low Birth Weight and a larger proportion of these concentrating in Asia and Africa. Africa has a reported incidence of 14.3 %.Children born with low birth weight are more likely to die prematurely compared to infants of normal birth weight. Likewise, these children experience more morbidity, both in the short and long term. Therefore, it is clear that low birth weight represents a heavy burden for healthcare services worldwide. Objective: The aim of this study was to assess the prevalence and associated factors of low birth weight among newborn babies in Dessie town health institutions, Amhara region, Ethiopia. Method: An institutional based cross sectional study design was conducted to assess the prevalence and associated factors of low birth weight among newborn babies in Dessie town health institutions. The data was collected using a semi-structured pre-tested interviewer guided questionnaire. Data was cleaned manually, coded and entered into Epi -info version 7 and analysed by SPSS version 20 statistical software.Bivariate and multivariate logistic regression analyses were employed to identify associated factors for low birth weight.After bivariate regression analysis, variables with P value less than 0.2 were included in multivariable logistic regression. Adjusted odd ratio along with 95% CI was calculated to see strength of association and P<0.05 was taken as level of statistical significance

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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