Risk factors for low birth weight in Lubumbashi, Democratic Republic of the Congo

Ilunga, Paul Makinko; Mukuku, Olivier; Mawaw, Paul Makan; Mutombo, Augustin Mulangu; Lubala, Toni Kasole; Pongombo, Mick Shongo Ya; Luhete, Prosper Kakudji; Wembonyama, Stanis Okitotsho; Kabamba, André Mutombo; Numbi, Oscar Luboya

doi:10.1684/mst.2016.0607

Cited by 14 publications

(31 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Earlier studies from across Africa have reported some association between the delivery of LBW babies and several maternal socio-demographic, socio-economic, obstetric and medical factors [12][13][14]. In our current study, mothers who were unemployed were found to have a two-fold odds of giving birth to a LBW baby.…”

Section: Discussionsupporting

confidence: 48%

Determinants of Low Birth Weight Deliveries: an Unmatched Case-control Study in Five Referral Hospitals in Western Area Urban District, Sierra Leone

Kargbo¹,

Nyarko²,

Sackey³

et al. 2021

Preprint

View full text Add to dashboard Cite

Background: Each year, about 20 million deliveries are Low Birth Weight (LBW) with 96.5% occurring in developing countries. The prevalence of LBW in Sierra Leone is about 7% while the Western Area Urban (WAU) district reports 17.5%. This study sought to determine factors associated with LBW deliveries in five referral hospitals in the WAU district, Sierra Leone.Methods: A hospital-based unmatched 1:2 case-control study was conducted among mothers who delivered live singleton babies from November, 2019 to February, 2020 in five referral facilities. Antenatal care cards of mothers were reviewed and a pre-tested questionnaire also administered to them. The association between maternal socio-demographic, socio-economic, obstetric and lifestyle factors and LBW was assessed using bivariable and multivariable logistic regression analyses. Results: A total of 438 mothers (146 cases and 292 controls), mean age: 24.2 (±5.8) and 26.1 (±5.5) years for cases and controls respectively participated in the study. Among mothers, 36.9 % (162/438) had no formal education, 25.8% (113/438) were unemployed and 29.7% (130/438) were unmarried. Multivariable analysis revealed that being unemployed (AoR = 2.52, 95% CI 1.16 - 5.49, p = 0.020), having anaemia during pregnancy (AoR = 3.88, 95% CI 1.90-7.90, p < 0.001), having less than two years inter-pregnancy interval (AoR = 2.53, 95% CI 1.11-5.73, p = 0.026), and smoking cigarettes during pregnancy (AoR = 4.36, 95% CI 1.94-9.80, p <0.001) were significantly associated with having LBW babies.Conclusion: Factors associated with LBW identified were unemployment, anaemia during pregnancy, < 2 years inter-pregnancy interval and cigarette smoking during pregnancy. Health care providers should screen and sensitize mothers on the risk factors of LBW during antenatal sessions.

show abstract

Section: Discussionsupporting

confidence: 48%

Determinants of Low Birth Weight Deliveries: an Unmatched Case-control Study in Five Referral Hospitals in Western Area Urban District, Sierra Leone

Kargbo¹,

Nyarko²,

Sackey³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The sensitivity analysis identified 9 studies that were considered outliers and that produced distortion in the crude [ 83 , 84 , 85 ] and adjusted [ 24 , 40 , 42 , 48 , 72 , 83 , 86 ] summary measurements, although they were included in the qualitative evaluation of the investigations. The subgroup analysis for the crude and adjusted odds ratio indicated that for most of the variables evaluated, the association measurement continued to be associated with low birth weight, even after stratification ( Table 2 ).…”

Section: Resultsmentioning

confidence: 99%

“… Meta-analysis with crude effect measurement for the evaluated studies and 95% confidence intervals [ 24 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , ...…”

Section: Figurementioning

confidence: 99%

Maternal Anemia and Low Birth Weight: A Systematic Review and Meta-Analysis

et al. 2018

View full text Add to dashboard Cite

Objective: To systematically analyze the relationship between maternal anemia and low birth weight. Methods: A search of studies was conducted in the main databases (Medline, Embase, Scopus, Web of Science, SciELO, and Lilacs), the gray literature, and the reference lists of selected articles. Cohort and case-control studies that met the eligibility criteria were included in the review. There was no limitation on the language or date of publication. Article selection and data extraction were performed by two independent reviewers. Meta-analyses with random effects, subgroup analyses and meta-regressions were performed. Publication bias was measured using Egger regression and visual funnel plot inspection. Results: A total of 7243 articles were found, of which 71 comprised the systematic review and 68 were included in the meta-analyses. Maternal anemia was associated with low birth weight with an adjusted OR: 1.23 (95% CI: 1.06–1.43) and I2: 58%. The meta-regressions confirmed that the sample size and the methodological quality may partially explain the statistical heterogeneity. Conclusions: Maternal anemia was considered a risk factor for low birth weight.

show abstract

“…In accordance with other studies [21–26], low birth weight was found to be a factor of SAM. This could be explained by the fact that, often, the low birth weight in our environment results from maternal malnutrition [27], which implies that the conditions in which the child will live are precarious from the point of view of food security but also of feeding and environmental hygiene practices. It is not surprising that a child who is already malnourished before birth and who lives in these conditions will suffer from malnutrition that persists or worsens.…”

Section: Discussionmentioning

confidence: 99%

Predictive Model for the Risk of Severe Acute Malnutrition in Children

Mukuku

Mutombo

Kamona

et al. 2019

Journal of Nutrition and Metabolism

View full text Add to dashboard Cite

Background. The nutritional status is the best indicator of the well-being of the child. Inadequate feeding practices are the main factors that affect physical growth and mental development. The aim of this study was to develop a predictive score of severe acute malnutrition (SAM) in children under 5 years of age.Methods. It was a case-control study. The case group (n = 263) consisted of children aged 6 to 59 months admitted to hospital for SAM that was defined by az-score weight/height < −3 SD or presence of edema of malnutrition. We performed a univariate and multivariate analysis. Discrimination score was assessed using the ROC curve and the calibration of the score by Hosmer–Lemeshow test.Results. Low birth weight, history of recurrent or chronic diarrhea, daily meal’s number less than 3, age of breastfeeding’s cessation less than 6 months, age of introduction of complementary diets less than 6 months, maternal age below 25 years, parity less than 5, family history of malnutrition, and number of children under 5 over 2 were predictive factors of SAM. Presence of these nine criteria affects a certain number of points; a score <6 points defines children at low risk of SAM, a score between 6 and 8 points defines a moderate risk of SAM, and a score >8 points presents a high risk of SAM. The area under ROC curve of this score was 0.9685, its sensitivity was 93.5%, and its specificity was 93.1%.Conclusion. We propose a simple and efficient prediction model for the risk of occurrence of SAM in children under 5 years of age in developing countries. This predictive model of SAM would be a useful and simple clinical tool to identify people at risk, limit high rates of malnutrition, and reduce disease and child mortality registered in developing countries.

show abstract

Risk factors for low birth weight in Lubumbashi, Democratic Republic of the Congo

Cited by 14 publications

References 0 publications

Determinants of Low Birth Weight Deliveries: an Unmatched Case-control Study in Five Referral Hospitals in Western Area Urban District, Sierra Leone

Determinants of Low Birth Weight Deliveries: an Unmatched Case-control Study in Five Referral Hospitals in Western Area Urban District, Sierra Leone

Maternal Anemia and Low Birth Weight: A Systematic Review and Meta-Analysis

Predictive Model for the Risk of Severe Acute Malnutrition in Children

Contact Info

Product

Resources

About