Burden and determinants of malnutrition among pregnant women in Africa: A systematic review and meta-analysis

Desyibelew, Hanna Demelash; Dadi, Abel Fekadu

doi:10.1371/journal.pone.0221712

Cited by 118 publications

(118 citation statements)

References 95 publications

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“…Our result is consistent with those of other three studies carried out in other parts of Ethiopia 19.8%, 19.5% and 24% (23,31,32). It is also consistent with ndings of a study done in south Sudan and a systemic review in Africa reported 18.9% and 23.5% respectively (20,33) . On the other hand, our nding is higher than those of studies did in three areas of Ethiopia and Madagascar reported 16.2%, 14.4%, 9.2% and 9% respectively (22,(34)(35)(36).…”

Section: Discussionsupporting

confidence: 93%

“…In developing nations including Ethiopia, burden of maternal and child undernutrition is very high. The prevalence of maternal undernutrition in Africa including Ethiopia found between 11%-36% (20)(21)(22)(23)(24)(25)(26)(27). The most acceptable explanation for this wide variation is likely to be the fact that contextual factors are major determinants of maternal undernutrition.…”

Section: Introductionmentioning

confidence: 99%

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Prevalence and associated factors of undernutrition among pregnant women vising ANC clinic in Silte zone, southern Ethiopia

Muze¹,

Yesse²,

Kedir³

et al. 2020

Preprint

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Background: Maternal undernutrition is highly prevalent in underdeveloped country. Hence, this study was intended to determine prevalence and associated factors of undernutrition among pregnant women visiting ANC follow up clinics of health facilities.Method: Facility based cross sectional study was conducted from July to January 2019. Data was collected by using structured interviewer administered questionnaire. Mid upper arm circumference (MUAC) was measured by standard non stretchable MUAC tape. Systematic random sampling technique was used to select 422 study participants from 11 randomly selected health facilities. Sample size was allocated proportionately to each health facilities. Data was entered into a computer using Epi data 3.1 and edited, cleaned and analyzed using SPSS version 20. Both bivariate and multiple logistic regression analyses was employed to identify factors associated with maternal undernutrition.Result: This study found 91 (21.8%) of study subjects were undernourished. Age greater than 31 years of women (AOR=0.15; 95% CI: 0.03, 0.93), Birth intervals > 2 years (AOR= 0.18; 95% CI: 0.04, 0.76), good nutritional knowledge (AOR=0.34; 95% CI: 0.17, 0.67), and having no dietary change as a result of current pregnancy AOR=6.02; 95% CI: 2.99, 12.14) were significantly associated with undernutrition.Conclusion and recommendation: The prevalence of undernutrition among pregnant women was 21.8 % indicates little decrement. Age of women, Birth intervals, and Dietary change as a result of current pregnancy and Nutrition knowledge were important risk factors/ predictors of undernutrition (MUAC < 23 cm). Government, and other concerned bodies should strength nutritional counseling of pregnant women at health setting and in community level with giving special emphasis to adolescent pregnant women (Age ≤20 years old).

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Section: Discussionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Prevalence and associated factors of undernutrition among pregnant women vising ANC clinic in Silte zone, southern Ethiopia

Muze¹,

Yesse²,

Kedir³

et al. 2020

Preprint

View full text Add to dashboard Cite

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“…Even they may not have enough monthly income for good food diversity and [69]. This gure is in line with systematic review done in Africa and studies done in Pakistan and Bangladesh [17,61,66].…”

Section: Discussionsupporting

confidence: 81%

“…The nding of this review was higher than ndings of systematic review done in Africa, studies done in Democratic Republic of Congo, Lebanon, Sudan and Sri Lanka which was 23.5%, 14%, 10.2%, 15% and 5.5% respectively [61][62][63][64][65]. But, this nding was lower than results of studies conducted in Bangladesh, South India and Kenya which was 59%, 51% and 31.7% respectively [66][67][68].…”

Section: Discussioncontrasting

confidence: 62%

Predictors of Malnutrition among Pregnant Women in Ethiopia: Systematic Review and Meta-Analysis

Getaneh

Negesse

2020

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Background Women of reproductive age are especially vulnerable to protein energy deficiency and under nutrition. Malnutrition is the underlying cause of significant maternal morbidity and mortality. In addition, malnutrition among women is a major risk factor for adverse birth outcomes. Its extent and consequences is highly prevalent in developing countries. This major burden can be reduced through effective nutritional interventions. So, up to date meager evidences were warranted. Therefore, this systematic review and meta-analysis was aimed to estimate the overall pooled prevalence of malnutrition and its predictors among pregnant women in Ethiopia. Methods Articles were systematically searched using PubMed, EMBASE, Google Scholar, World Health Organization’s (WHO) Hinari portal data bases and institutional repositories. Newcastle‒Ottawa quality assessment scale adapted for observational studies was applied. We used Stata version 14 for data analysis. Heterogeneity and publication bias were checked using I2 statistic, funnel plot asymmetry and Egger’s test. Random effect model was applied to estimate the pooled prevalence of malnutrition and its predictors. Odds Ratio (OR) with 95% Confidence Interval (CI) was also considered to identify factors. Result 24 eligible articles were included for final analysis. The average pooled prevalence of malnutrition among pregnant women in Ethiopia was 29.07% (95% CI: 24.84, 33.30). Maternal education (OR = 1.60, 95% CI: 1.01, 2.53), income (OR = 3.07, 95% CI: 1.36, 6.92), pregnancy intention (OR = 1.33, 95% CI: 1.01, 1.37), number of meal (OR = 4.63, 95% CI: 3.00, 7.15), dietary diversity (OR = 2.89, 95% CI: 1.28, 6.53), antenatal care (OR = 2.53, 95% CI: 1.18, 5.42) and iron supplementation (OR = 0.63, 95% CI: 0.45, 0.88) were predictors of the pooled prevalence of malnutrition among pregnant women in Ethiopia. Conclusion Generally, significant number of pregnant women in Ethiopia were suffered from malnutrition. Maternal education, income, pregnancy intention, number of meal, dietary diversity, antenatal care and iron supplementation were significant predictors of malnutrition. Strategies targeting advocating women education, standard antenatal care, family planning utilization, and encouraging pregnant women to have good dietary diversity and frequent meal should be undertaken by Ministry of Health and its stake holders to handle this signficant budren of malnutrition among pregnant women.

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“…This study investigated the prevalence and factors associated with underweight among lactating Ugandan women aged between 20 to 49 years. Based on the anthropometric measurement of body mass index, 8.2% (95% CI: 7.0-10.0), of lactating women were underweight with BMI less than 18.5 kg/m 2 which prevalence is below the standard acceptable malnutrition rate of 10% (23) .Of the 8.2%, 3.6% were severely underweight, 20.5% were moderately underweight and 75.9% mildly underweight. This prevalence is lower than studies conducted among lactating women in Ethiopia (5,8,12), rural Vietnam (24) and India (25) but higher than a study done in Nigeria (9).…”

Section: Discussionmentioning

confidence: 99%

Underweight and associated factors among lactating women in Uganda: evidence from the Uganda demographic health survey 2016.

Sserwanja

Mukunya

Mutisya

et al. 2020

Preprint

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BackgroundLactating mothers are at increased risk of underweight due to physiological changes that lead to disproportionately higher energy and nutrient requirements than non-pregnant and non-lactating women. Maternal underweight has been shown to negatively affect the secretion of nutrients in breast milk leading to increased risk of child morbidity and mortality. We aimed to determine the prevalence and factors associated with underweight among lactating women in Uganda.MethodsWe used the Uganda Demographic and Health Survey (UDHS) 2016 data of 1,356 women aged 20 to 49 years. Multistage stratified sampling was used to select study participants and data were collected using validated questionnaires. We used multivariable logistic regression to determine factors associated with underweight among 20 to 49-year-old lactating women in Uganda.ResultsThe prevalence of underweight was 8.2% (111/1356) (95% CI: 7.0–10.0). Women who were working were more likely to be underweight compared to those who were not working (AOR = 0.51; 95% CI: 0.28–0.96). Women in the Northern region were more likely to be underweight compared to women in the Western (AOR = 0.14; 95% CI: 0.06–0.29), Eastern (AOR = 0.34; 95% CI: 0.18–0.64) and Central (AOR = 0.24; 95% CI: 0.10–0.57) regions. Women who had no education (AOR = 9.27; 95% CI: 1.61–53.52) or, primary education (AOR = 6.00; 95% CI: 1.13–31.98) were more likely to be underweight compared to those who had higher (post-secondary) education level.ConclusionOur study established that the factors associated with underweight among Ugandan lactating women were level of education, working status and region. Based on the findings of this and other studies, it is important for the government to design targeted underweight reduction programs with special emphasis on working, women from the Northern region and those whose highest level of education is primary.

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Burden and determinants of malnutrition among pregnant women in Africa: A systematic review and meta-analysis

Cited by 118 publications

References 95 publications

Prevalence and associated factors of undernutrition among pregnant women vising ANC clinic in Silte zone, southern Ethiopia

Prevalence and associated factors of undernutrition among pregnant women vising ANC clinic in Silte zone, southern Ethiopia

Predictors of Malnutrition among Pregnant Women in Ethiopia: Systematic Review and Meta-Analysis

Underweight and associated factors among lactating women in Uganda: evidence from the Uganda demographic health survey 2016.

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