Determinants of low birth weight in neonates born in three hospitals in Brong Ahafo Region, Ghana, 2016: an unmatched case-control study

Adam, Zakariah; Nortey, Pricillia; Kenu, Ernest; Afari, Edwin; Ameme, Donne Kofi; Bandoh, Delia Akosua

doi:10.11604/pamj.cp.2017.3.2.115

Cited by 3 publications

(7 citation statements)

References 70 publications

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“…The odds of delivering a LBW baby as observed in the current study, was greater among mothers who were anaemic during pregnancy (Hb < 11.0 g/dl), compared to those who were not, similar to an earlier study also carried out in Ghana [7]. Other studies done in Ethiopia [4], Democratic Republic of Congo [14] and India [16] have also reported similar ndings in which anaemia during pregnancy was found to be associated with LBW.…”

Section: Discussionsupporting

confidence: 90%

“…Evidence also exists that LBW increases the likelihood of developing noncommunicable diseases like diabetes and cardiovascular diseases in adulthood [5,6]. LBW has short term consequences, including respiratory distress, infections and hydrocephalus as well as long-term consequences, including coronary heart disease, diabetes, hypertension, and impaired cognitive function [7].…”

Section: Introductionmentioning

confidence: 99%

“…In Sierra Leone, the pattern of LBW deliveries is unstable. The 2008 and 2013 Sierra Leone Demographic and Health Survey (SLDHS) showed that nationwide, LBW deliveries decreased from 11.0% in 2008 to 7.1% in 2013. However, it rather increased in the Western Area Urban district from 9.5-17.5% over the same period [9,10].…”

Section: Introductionmentioning

confidence: 99%

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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

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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.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

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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

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“…This finding is similar to the study conducted in Sandeep Shrestha et al 9 This finding parallels with the previous randomized control trial study conducted in Kenya, cohort study conducted in Ethiopia, and case control study conducted in Ghana, Ethiopia, and Nepal. [10][11][12][13][14] Predictors of maternal and obstetric with low birth weight has significant association with caesarean section, increased significantly with decrease in gestational age and maternal weight. Low birth weight is also associated significantly with history of abortion and iron supplementation and anemia.…”

Section: Discussionmentioning

confidence: 99%

A study on predictors of low birth weight

Reddy

Aravalli

2021

Int J Contemp Pediatr

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Background: purpose of this study was to determine prevalence of maternal and social risk factors of low birth weight. The purpose of this study is to prevalence of maternal and social risk factors of low birth weight.Methods: The cross-sectional and comparative study was carried out by reviewing medical records of newborn delivered for one year in 250 newborn. Birth weight was categorized into two as low birth weight (birth weight <2500 grams), considered as cases, and normal birth weight (birth weight ≥2500 grams), considered as controls or the reference birth weight.Results: In our study mother’s age, socioeconomic, educational status, occupation as significant variables to be associated with low birth weight. caesarean section increased significantly with decrease in gestational age and maternal weight, history of abortion, iron supplementation Hypertension, anemia, and DM are Predictors of maternal and obstetric with low birth weight.Conclusions: Prompt identification of causes and prevention of premature delivery, proper knowledge of signs and symptoms of pregnancy complications, and preventing any physical trauma or its potential causes are recommended during pregnancy to prevent low birth weight.

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“…

LBW neonates are sub-grouped according to the first birth weight: (a) moderately low birth weight (MLBW): between 1500 and 2499 g; (b) very low birth weight (VLBW): less than 1500 g; (c) extremely low birth weight (ELBW): less than 1000 g. 7As per the WHO estimation about 25 million low birth weight babies-up to 20 percent of all infants-are born each year, nearly 95% of them in developing countries. 5,6 Worldwide, neonatal mortality is 20 times more likely for LBW babies compared to heavier babies (≤2.5 kg). Low ABSTRACT Background: The objective of the study was to to find out the prevalence of low birth weight in Sanwer block in Madhya Pradesh.

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confidence: 99%

An insight into the prevalence of low birth weight in Madhya Pradesh

Sharma

Wavare

et al. 2021

Int J Contemp Pediatr

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Background: The objective of the study was to to find out the prevalence of low birth weight in Sanwer block in Madhya Pradesh.Methods: The study was conducted in community health center of Sanwer Tehsil (Indore district) in the state of Madhya Pradesh in collaboration with the department of Community Medicine of Sri Aurobindo Medical College and PG Institute, Indore.Results: Out of 136 cases observed till completion, 66 cases were of female neonates and 70 cases were of male neonates. Out of 66 females, 36 cases (54.54%) were below the standard 2,500 g. Out of 70 male neonates, 44 cases were below the standard 2,500 g. Average female weight at time of birth was 2.1 kg while the average female height at time of birth was 46.48 cm. Average male weight at time of birth was 2.15 kg and average male height at time of birth was 47.37 cm.Conclusions: National programmes targeting to address low birth weight are the need of the hour.

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Determinants of low birth weight in neonates born in three hospitals in Brong Ahafo Region, Ghana, 2016: an unmatched case-control study

Cited by 3 publications

References 70 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

A study on predictors of low birth weight

An insight into the prevalence of low birth weight in Madhya Pradesh

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