Maternal obstetric and socio-demographic determinants of low birth weight: a retrospective cross-sectional study in Ghana

Mohammed, Shamsudeen; Bonsing, Irene; Yakubu, Ibrahim; Wondong, Winifred Porsaa

doi:10.1186/s12978-019-0742-5

Cited by 35 publications

(43 citation statements)

References 29 publications

(34 reference statements)

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“…Literate mothers were 68% less likely to have low weight babies compared to their illiterate counterpart. is finding is consistent with other studies where literate mothers were found to have a protective effect against LBW [18][19][20][21]. Mothers involved in labor work were five times and mothers who were unemployed or housewives were two times more likely to deliver LBW baby than the employed counterpart.…”

Section: Discussionsupporting

confidence: 92%

“…Regular ANC during pregnancy is beneficial for both the pregnant mother and developing baby as obstetric complications can be identified during ANC and managed timely [18]. Studies conducted in Malawi and Uganda [39], Ethiopia [29], and Bangladesh [40] have identified an inadequate number of ANC visits to be associated with higher odds of LBW.…”

Section: Discussionmentioning

confidence: 99%

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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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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

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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“…However, this nding was incongruent with a similar study conducted in the Brong-Ahafo region of Ghana. That literature suggested that increasing parity signi cantly increased the odds of low birthweight (30). Another study in Ethiopia reported similar ndings to those of Mohammed and colleagues (31).…”

Section: Discussionsupporting

confidence: 75%

Determinants of Low birthweight and Preterm Delivery in the Volta Region of Ghana: Evidence from birth records

Axame¹,

Binka²,

Kweku³

2020

Preprint

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Abstract Background:Low birthweight and preterm delivery are birth outcomes that can predict the survival, development and long-term health outcomes of newborns. Though advances in medical research have improved birth outcomes these birth outcomes still remain issues of public health concern. This study assessed the determinants of low birthweight and preterm delivery in the Volta region of Ghana.Methods:This retrospective cross-sectional study analyzed data from 680 birth records of all deliveries between October and December, 2018 at the Ho Teaching Hospital in the Volta Region of Ghana. Univariate and multivariate logistic regression models were used to predict determinants of low birthweight and preterm delivery using Stata MP/16.0.Results:Overall, the prevalence of low birthweight was 12.9% and that of preterm delivery was 14.1%. Increasing maternal age (AOR: 0.52; 95% CI: 0.28-0.98), multiparity (AOR: 0.54; 95% CI: 0.30-0.94) and increasing doses of Sulphadoxine pyrimethamine (AOR: 0.43; 95% CI: 0.22-0.84) significantly reduced the odds of low birthweight. However, delivery through caesarean section (AOR: 1.94; 95% CI: 0.1.16-3.27) and hypertension (AOR: 2.06; 95% CI: 1.27-03.33) significantly increased the likelihood of low birthweight. Increasing number of antenatal care visits (AOR: 0.38; 95% CI: 0.18-0.80) and doses of Sulphadoxine pyrimethamine (AOR: 0.43; 95% CI: 0.19-0.97) were significantly associated with decreased odds of preterm delivery while delivery through caesarean section increased the odds of preterm delivery by 2 folds (AOR: 2.14; 95% CI: 1.15-3.99). Conclusion:This study shows maternal age, parity, number of ANC visits, hypertension, SP/IPTp and caesarean section were independent determinants of low birthweight and preterm delivery. These findings add up to literature on the determinants of these adverse birth outcomes particularly in resource-limited environments. Furthermore, this study could serve as a foundation for further research in the study area and for developing public health interventions geared towards reducing the risk and complications of these birth outcomes.

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“…Although there is evidence of increasing birth weight in some developing countries [25], ABW is an under-researched child health topic in urban Africa. Most studies on birth weight in Africa have focused on low birth weight, with risk factors including maternal and child characteristics, healthcare utilization, household, nutrition, environment and community variables [14,[31][32][33][34][35][36]. On the contrary, studies on high birth weight in Africa have been few, but available evidence shows that the significant risk factors are maternal obesity, socioeconomic condition, residence and gestational diabetes [22,[37][38][39][40][41].…”

Section: Introductionmentioning

confidence: 99%

Abnormal birth weight in urban Nigeria: An examination of related factors

Fayehun

Asa

2020

PLoS ONE

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There is a knowledge gap on abnormal birth weight in urban Nigeria where specific community contexts can have a significant impact on a child’s health. Abnormal birth weight, classified into low birth weight and high birth weight, is often associated with adverse health outcomes and a leading risk for neonatal morbidity and mortality. The study used datasets from the birth recode file of 2013 and 2018 Nigeria Demographic and Health Survey (NDHS); a weighted sample of pooled 9,244 live births by 7,951 mothers within ten years (2008–2018) in urban Nigeria. The effects of individual, healthcare utilization and community-level variables on the two abnormal birth weight categories were explored with a multinomial logistic regression models using normal birth weight as a reference group. In urban Nigeria, the overall prevalence of ABW was 18.3%; high birth weight accounted for the majority (10.7%) of infants who were outside the normal birth weight range. Predictors of LBW were community (region), child characteristic (the type of birth) and household (wealth index) while that of HBW were community (regions), child characteristics (birth intervals and sex), maternal characteristic (education) and healthcare utilization (ANC registration). LBW was significantly more prevalent in the northern part while HBW was more common in the southern part of urban Nigeria. This pattern conforms to the expected north-south dichotomy in health indicators and outcomes. These differences can be linked to suggested variation in regional exposure to urbanization in Nigeria.

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Maternal obstetric and socio-demographic determinants of low birth weight: a retrospective cross-sectional study in Ghana

Cited by 35 publications

References 29 publications

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

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

Determinants of Low birthweight and Preterm Delivery in the Volta Region of Ghana: Evidence from birth records

Abnormal birth weight in urban Nigeria: An examination of related factors

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