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

Muchemi, Onesmus Maina; Echoka, Elizabeth; Makokha, Anselimo

doi:10.11604/pamj.2015.20.108.4831

Cited by 80 publications

(97 citation statements)

References 9 publications

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“…The finding of this study indicated that 19.53%, of neonates were born with low birth weight. The finding of this study is higher than the studies done in Northern Ethiopia (10%) (Gebregzabiherher, Haftu, Weldemariam, & Gebrehiwet, 2017), Axum and Laelay Maichew district (9.9%) (Teklehaimanot, Hailu, & Assefa, 2014), Kenya (12.3%) (Muchemi, Echoka, & Makokha, 2015), Northeast Nigeria16.9%, (Takai, Bukar, & Audu, 2014), Jakarta Indonesia (4. 5%) (Yanita, 2010), Nepal11.7% (Singh, Shrestha, & Marahatta, 2010), Iran (6.8%) (Jafari, Eftekhar, Pourreza, & Mousavi, 2010) and Abha City Saudi Arabia18.8%, (Baijayanti, Faten, & HAM, 2012).Whereas it is lower than studies done in Kersa, West Ethiopia (28.3 %) (Assefa, Berhane, & Worku, 2012) and Gambia (22.5%) (Jammeh, Sundby, & Vangen, 2011).…”

Section: Discussioncontrasting

confidence: 67%

Factors Associated With Low Birth Weight Among Newborns in Ethiopia

Jamie¹,

Ahmed²

2020

PHI

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Background: Worldwide more than 20 million low birth weights occur annually with the incidence of 15 to 20%, majority of this occur in low- and middle-income countries and 95.6% occur in developing nations. Its regional estimate was 28% in South Asia, 13% in sub-Saharan Africa and 13% in least developed countryObjective: To assess factors associated with low birth weight among newborns in Jugal Hospital, Harari Regional State, Ethiopia.Methods: A cross-sectional study was conducted among newborns in Jugal hospital, Ethiopia from June 01 to July 10, 2019. Systematic random sampling technique was used to select the study subjects. Multivariate logistic regression analysis was used to identify factors associated with low birth weight among newbornsResults: The magnitude of low birth weight was 19.53%. Women who had previous history of low birth weight had 5.21 times higher odds ratio of delivered low birth weight baby than their counterparts [AOR = 5.21, 95% CI: (1.5-14.2)], and pregnant women who delivered before 37 weeks of gestational age had 4.8 times higher odds ratio of delivered low birth weight neonates than those delivered at term [AOR = 4.8, 95% CI: (1.3-10.4)]Conclusion: The prevalence of low birth weight in Harar, Jugal Hospital was 19.53%. Low birth weight in the previous pregnancy and gestational age 37 weeks, and showed significant association with birth weight neonates. Governmental and non-governmental organizations working on maternal and child health should focus on identified factors in order to tackle the problem of birth weight.

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Section: Discussioncontrasting

confidence: 67%

Factors Associated With Low Birth Weight Among Newborns in Ethiopia

Jamie¹,

Ahmed²

2020

PHI

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“…It is also lower than studies from northwest Ethiopia, Kenya and Zimbabwe [8–10]. The reason for this discrepancy may be the time this study is conducted and recent interventions in the prevention of LBW may have strengthen and contributed towards reduction in the incidence of LBW.…”

Section: Discussionmentioning

confidence: 67%

Low birth weight and macrosomia in Tigray, Northern Ethiopia: who are the mothers at risk?

et al. 2017

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BackgroundInfant birth weight, which is classified into low birth weight, normal birth weight and macrosomia, is associated with short and long-term health consequences, such as neonatal mortality and chronic disease in life. Macrosomia and low birth weight are double burden problems in developing counties, such as Ethiopia, but the paucity of evidence has made it difficult to assess the extent of this situation. As a result there has been inconsistency in the reported prevalence of low birth weight and macrosomia in Ethiopia. This study aimed to determine the incidence and predictors of low birth weight and macrosomia in Tigray, Northern Ethiopia.MethodWe conducted a cross-sectional survey among a cohort of 1152 neonates delivered in Tigray Region at randomly selected hospitals between April and July 2014. We used the birth weight category described previously as an outcome variable. Data were collected using structured questionnaire by midwives. We entered and analyzed data using STATA™ Version 11.0. Data were described using a frequency, percentage, relative risk ratio, and 95% confidence interval. Multinomial logistic regression was conducted to identify independent predictors of low birth weight and macrosomia.ResultIn this study, we found a 10.5% and 6.68% incidence of low birth weight and macrosomia, respectively. Seventy (57.8%) of all low birth weight neonates were term births. The predictors for low birth weight were: early marriage (<18 year) (RRR: 0.59, CI: 0.35–0.97); rural residence (RRR: 0.53, CI: 0.32–0.9); prematurity (RRR: 15.4, CI: 9.18–25.9); no antenatal follow-up (RRR: 6.78, CI: 2.39–19.25); and female sex (RRR: 1.77, CI: 1.13–2.77). Predictors for macrosomia were: female gender (RRR: 0.58, CI: 0.35–0.9); high body mass index (RRR: 5.0, CI: 1.56–16); post-maturity (RRR: 2.23, CI: 1.06–4.6); and no maternal complication (RRR: 0.46, CI: 0.27–0.8).ConclusionIn this study, we found gestational age and gender of the neonate to be common risk factors for both low birth weight and macrosomia. Strengthening antenatal follow up, prevention of pre and post maturity, controlling body mass index, and improving socioeconomic status of mothers are recommendations to prevent the double burden (low birth weight and macrosomia) and associated short and long-term consequences.

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“…9,10 Worldwide, different epidemiological studies have reported varied prevalence rates in Kenya (12.3%), Tanzania (13.6% & 14%), Central Africa (9%-23%) and Chennai (25.8%). [11][12][13][14][15] Higher prevalence of low birth weight was reported in a study conducted in Nigeria (45%). 16 Studies in India have also showed varied prevalence rates of LBW, 21.8% in Assam, 36.8% in Madhya Pradesh, and 27.76% in Odisha.…”

Section: Current Scenario Of Lbwmentioning

confidence: 99%

A cross sectional study on demographic factors affecting low birth weight

Vasant

Rao

2019

Int J Community Med Public Health

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Importance of LBWLBW is one of the most serious challenges in maternal and child health. The public health importance is attributed to a number of factors such as, its high incidence, its association with mental retardation and a high risk of perinatal and infant mortality and morbidity; ABSTRACT Background: Low birth weight (LBW) is one of the commonest cause for infant and childhood morbidity and mortality. The majority of low birth weight in developing countries is due to intrauterine growth retardation, while most low birth weight in industrialized countries is due to preterm birth. LBW is the single most important factor determining the survival chances of the child. The objectives of the study were to assess the proportion of low birth weight among babies delivered by mothers at a tertiary care hospital and to analyse the relationship between low birth weight and certain socio-demographic factors. Methods: A cross-sectional study conducted in a tertiary care centre for a period of six months. Results: The prevalence of LBW was 23.5%. The proportion of mothers having low birth weight was maximum in women aged less than 18 years (35%) and more than 30 years (26.5%). Muslim women had a higher proportion of LBW (28.8%). LBW was more in women belonging to joint family (30.0%), low per capita income group and illiterates. Conclusions: The prevalence of LBW still continues to be high, almost one fourth of the babies are LBW. Different socio-demographic characteristics of the population are still the important factors determining the occurrence of LBW.

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

Cited by 80 publications

References 9 publications

Factors Associated With Low Birth Weight Among Newborns in Ethiopia

Factors Associated With Low Birth Weight Among Newborns in Ethiopia

Low birth weight and macrosomia in Tigray, Northern Ethiopia: who are the mothers at risk?

A cross sectional study on demographic factors affecting low birth weight

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