Evidence map›Paper›PMID 26090056›Full record

ArticleThe Pan African medical journal2015

Factors associated with low birth weight among neonates born at Olkalou District Hospital, Central Region, Kenya.

Onesmus Maina Muchemi, Elizabeth Echoka, Anselimo Makokha

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Article in The Pan African medical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
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60citing papers in PubMed, 5 pooled it
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Onesmus Maina MuchemiField Epidemiology and Laboratory Training Program, Kenya.
Elizabeth EchokaCentre for Public Health Research, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya.
Anselimo MakokhaJomo Kenyatta University of Agriculture and Technology, Juja, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNinety-two percent of Low Birth Weight(LBW) infants are born in developing countries, 70% in Asia and 22% in Africa. WHO and UNICEF estimate LBW in Kenya as 11% and 6%by 2009 Kenya Demographic Health Survey. The same survey estimated LBW to be 5.5% in Central Province, Kenya. Data in Olkalou hospital indicated that prevalence of LBW was high. However, factors giving rise to the problem remained unknown.

methodsA cross-sectional analytic study was therefore conducted to estimate prevalence and distribution and determine the factors associated with LBW in the hospital. LBW was defined as birth of a live infant less than 2500 g. We collected data using a semi-structured questionnaire and review of health records. A total 327 women were randomly selected from 500 mothers. Data was managed using Epi Info 3.3.2.

resultsThe prevalence of LBW was 12.3% (n = 40). The mean age of mothers was 25.6 ± 6.2 years. Mean birth weight was 2928 ± 533 grams. There were 51.1% (n = 165) male neonates and 48.9% (n = 158) females. The following factors were significantly associated with LBW:LBW delivery in a previous birth (OR = 4.7, 95%C.I. = 1.53-14.24), premature rapture of membranes (OR = 2.95, 95%C.I. = 1.14-7.62), premature births (OR=3.65, 95%C.I. = 1.31-10.38), and female newborn (OR = 2.32, 95%C.I. = 1.15-4.70). On logistic regression only delivery of LBW baby in a previous birth (OR = 5.07, 95%C.I. = 1.59-16.21) and female infant (OR = 3.37, 95%C.I. = 1.14-10.00)were independently associated with LBW.

conclusionPrevalence of LBW in the hospital was higher than national estimates. Female infant and LBW baby in a previous birth are independent factors. Local prevention efforts are necessary to mitigate the problem. Population-based study is necessary to provide accurate estimates in the area.

Indexed as

Infant, Low Birth WeightAdultCross-Sectional StudiesFemaleHospitals, DistrictHumansInfant, NewbornKenyaLogistic ModelsMalePregnancyPremature BirthPremature Rupture of Fetal MembranesPrevalenceRisk FactorsSurveys and Questionnairesfactorslow birth weightPrevalence

Identifiers

PMID26090056
PMCPMC4458305

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.