The Prevalence and Risk Factors for Low Birth Weight among Term Newborns in Adwa General Hospital, Northern Ethiopia

Gebregzabiherher, Yisak; Haftu, Abera; Weldemariam, Solomon; Gebrehiwet, Haftom

doi:10.1155/2017/2149156

Cited by 80 publications

(99 citation statements)

References 12 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: 66%

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: 66%

Factors Associated With Low Birth Weight Among Newborns in Ethiopia

Jamie¹,

Ahmed²

2020

PHI

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“…Socioeconomic factors associated with low birth weight include place of residence, occupation, educational status, and wealth index [9]. Similarly, maternal factors associated with low birth weight include preterm delivery, history of low birth weight, maternal age, height, Hb level, iron supplementation, and frequency of Ante Natal Care (ANC) visit [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Predictors of Low Birth Weight at Lumbini Provincial Hospital, Nepal: A Hospital-Based Unmatched Case Control Study

Shrestha

Shrestha²,

Gyawali

2020

Advances in Preventive Medicine

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Background. Low birth weight (LBW) is defined as the birth weight of live born infants below 2500 g, regardless of gestational age. It is a public health problem caused by factors that are potentially modifiable. The purpose of this study was to determine the socioeconomic, obstetric, and maternal factors associated with LBW in Lumbini Provincial Hospital, Nepal. Methods. The study was conducted using case control study design with 1 : 2 case control ratio. A total of 105 cases and 210 controls were taken in this study. Data were entered on Epi data software version 3.1 and exported to Statistical Package for Social Science (SPSS) software version 25 for analysis. Characteristics of the sample were described using mean and standard deviation. Bivariate analysis was done to assess the association between dependent and independent variables. The ultimate measure of association was odds ratio. Variables found to be associated with bivariate analysis were entered into a multivariable logistic regression model to identify predictors of LBW. Results. The mean age of the participants was 25.98 years with ±4.40 standard deviation. Mothers with literate educational background (AOR 0.32, 95% CI 0.13–0.81), housewife (AOR 2.63, 95% CI 1.11–6.20), vaginal mode of delivery (AOR 0.45, 95% CI 0.25–0.82), gestational age <37 weeks (AOR 2.51, 95% CI 1.15–5.48), history of LBW (AOR 5.12, 95% CI 1.93–13.60), and maternal weight <50 kilograms (AOR 2.23, 95% CI 1.23–4.02) were significantly associated with LBW. Conclusion. Educational and occupational status, mode of delivery, gestational age, maternal weight, and history of LBW were found to be independent predictors of LBW. There is need of developing coordination with education sector for increasing educational status of mothers and adolescent girls. Social determinants of health need to be considered while developing interventional programs. Similarly, interventional programs need to be developed considering identified predictors of low birth weight.

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“…Compared with normal birth weight (NBW) babies, LBW is the single most important factor of neonatal and infant mortality, especially of deaths within the 30 days of life . LBW has been associated with not only poorer health and development in children but also with adverse health outcomes in later life such as mental retardation, learning disability, ischemic heart disease and chronic hypertension etc …”

Section: Introductionmentioning

confidence: 99%

Association of maternal determinants with low birth weight babies in tea garden workers of Assam

Kumar

Raisuddin

Singh

et al. 2020

J of Obstet and Gynaecol

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Aim: This study was aimed to evaluate the association of maternal determinants with birth weight (BW) of babies in tea garden workers (TGW) and housewives (HW). Methods: A total of 175 subjects were recruited from Assam Medical College, Dibrugarh, India. In this cross-sectional study, maternal determinants, BW of babies and placental weight were explored in TGW (n = 102) and HW (n = 73). These factors were assessed and correlated by logistic regression models. Results: A higher incidence of low birth weight (LBW) was found in mothers working in the tea garden (48.04%) as compared to HW (10.96%). Activity of plucking of leaves in tea garden by women had a higher risk for LBW babies (adjusted odd ratio [AOR] 4.33, 95% confidence interval [CI] 1.38-13.57, P = 0.012) and decreased placental weight (AOR 11.42, 95% CI 1.18-126.02, P = 0.036) as compared to HW considered as reference group. Women who worked continuously in the tea garden during 9 months of pregnancy also revealed an elevated risk for LBW (AOR 5.32, 95% CI 1.34-21.09, P = 0.017). Conclusion: This study suggests the activity of plucking of tea leaves by women is associated with LBW of babies and decreased placental weight. Particularly, if mothers worked continuously in the tea garden during 9 months of pregnancy, it also increased the risk of delivering LBW babies. This exploratory study provides an important platform for further prospective studies, which could be focused on the potential consequences of maternal occupational exposures during pregnancy on fetal development.

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The Prevalence and Risk Factors for Low Birth Weight among Term Newborns in Adwa General Hospital, Northern Ethiopia

Cited by 80 publications

References 12 publications

Factors Associated With Low Birth Weight Among Newborns in Ethiopia

Factors Associated With Low Birth Weight Among Newborns in Ethiopia

Predictors of Low Birth Weight at Lumbini Provincial Hospital, Nepal: A Hospital-Based Unmatched Case Control Study

Association of maternal determinants with low birth weight babies in tea garden workers of Assam

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