Epidemiology of Malnutrition among Pregnant Women and Associated Factors in Central Refit Valley of Ethiopia, 2016

Mariyam, Abebe Ferede; Dibaba, Bekele

doi:10.4172/2161-0509.1000222

Cited by 29 publications

(48 citation statements)

References 19 publications

(25 reference statements)

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“…The variation might be due to distinctions in MUAC cut of value, and the socio-culture distinctions between Ethiopia and the other counties. The present study nding was lower than those of studies done in other areas of Ethiopia reported 72%, 34%, 31.8%, 31.4%, 30.3% and 28.6% (26,27,(37)(38)(39)(40). In the current study prevalence of maternal undernutrition shows a little decrement in compared to previous studies done in the study area.…”

Section: Discussioncontrasting

confidence: 85%

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: Discussioncontrasting

confidence: 85%

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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“…We found that a significant proportion of pregnant women had low MUAC. In a study conducted in Ethiopia, a similar prevalence of low MUAC (31.8%) was reported among pregnant women (Mariyam & Dibaba, ), although this study applied a cutoff of 21 cm.…”

Section: Discussionmentioning

confidence: 58%

Prevalence and determinants of gestational weight gain among pregnant women in Niger

Ouédraogo

Wessells

Young

et al. 2019

Maternal & Child Nutrition

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Low gestational weight gain (GWG) and low mid-upper arm circumference (MUAC) are associated with adverse pregnancy outcomes. We aimed to assess the prevalence and determinants of low GWG and low MUAC among pregnant women in rural Zinder, Niger. A community-based survey was conducted among 1,384 pregnant women in the catchment areas of 18 integrated health centers in the region of Zinder, Niger. Weight and MUAC were measured during an in-home visit and again 1 month later, when haemoglobin concentration and micronutrient status were also assessed. The prevalence of low GWG was defined based on the 2009 United States Institute of Medicine (U.S. IOM) guidelines (<0.35 kg/week) and less than the third centile of the International Fetal and Newborn Growth Consortium for the 21st Century (INTERGROWTH-21st) standards. Factors associated with GWG and MUAC were identified using logistic regression models adjusting for season, village, and gestational age. The median (interquartile range) age was 25.0 (20.7, 30.0) years, and 16.4% were ≤19 years. The prevalence of low GWG were 62.9% and 27.5% according to 2009 IOM and less than the third INTERGROWTH-21st centile, respectively; 24.9% had low MUAC. Higher α-1-acid glycoprotein (OR = 1.7, 95% CI [1.1, 2.8]) and C-reactive protein (OR = 1.2, 95% CI [1.02, 1.50]) increased the odds of low GWG. Adolescents (OR = 2.7, 95% CI [1.8, 4.0]), housewives (OR = 1.97, 95% CI [1.36, 2.86]), and those who reported recent food assistance (OR = 1.80, 95% CI [1.04, 3.11]) had higher odds of low MUAC. Prevalence of low GWG and low MUAC was high among pregnant women. Determinants of GWG and MUAC included socioeconomic, demographic, and biological factors, although only markers of inflammation were consistent predictors across different definitions of low GWG. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. 1 of 15 2 of 15 OUÉDRAOGO ET AL. bs_bs_banner The prevalence of low GWG was high among pregnant women in the Zinder region of Niger, and the odds of low GWG were consistently associated with higher concentrations of markers of inflammation (AGP and CRP). A considerable proportion of pregnant women also had low MUAC. Considering the importance of adequate GWG and MUAC for maternal health and pregnancy outcomes, effective and cost-effective interventions (e.g., daily iron folic acid supplementation; Baltussen, Knai, & Sharan, 2004, behaviour change communication about nutrition; Lamstein et al., 2014, and balanced protein energy dietary supplementation; Imdad & Bhutta, 2012) to ensure adequate GWG and nutritional status should be considered. ACKNOWLEDGMENTSWe would like to thank the NiMaNu study team, the participants, the local communities, staff of the Zinder and Mirriah health districts, and the national steering committee. Our sincere appreciation goes to Pro-The authors declare that they have no conflicts of interest. CONTRIBUTIONSThe ...

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“…These articles were from six regional state and two cities of Ethiopia. Eight studies were done in Oromo regional state [25,26,28,30,31,33,46,47], six articles in Amhara region [32,[48][49][50][51][52], four articles from South Nation and Nationality of People (SNNP) [27,34,53,54], two articles in Tigray [29,55] and in Addis Ababa (AA) [56], Dire Dawa [57], Gambella [58] and Ethiopian Somalia [59] shared single articles for each.…”

Section: Explanation For Original Studiesmentioning

confidence: 99%

“…Moreover, this review found that iron supplementation during pregnancy was protective for malnutrition among pregnant women. Its protective effect was listed in two of the included articles [29,33]. Pregnant women who supplied with iron during pregnancy were 0.63 times risk of being malnutrition than their counterparts (OR = 0.63, 95% CI: 0.45, 0.88).…”

Section: Predictors Of Malnutrition Among Pregnant Women In Ethiopiamentioning

confidence: 99%

“…In addition, these individual studies also stated factors like maternal age, income, residence, marital status, educational status, women decision, substance abuse, water source, toilet possession, family size, dietary diversity, number of meal, dietary advice, family planning, pregnancy intention, antenatal care follow up, parity, gestational age, any illness and iron supplementation as a potential associated factors with malnutrition during pregnancy even though inconsistent ndings were recorded [27][28][29][30][31][32][33][34][35]. Therefore this systematic review and meta-analysis was done to estimate the pooled burden of malnutrition and its predictors among pregnant women in Ethiopia.…”

Section: Introductionmentioning

confidence: 99%

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

Getaneh

Negesse

2020

Preprint

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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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Epidemiology of Malnutrition among Pregnant Women and Associated Factors in Central Refit Valley of Ethiopia, 2016

Cited by 29 publications

References 19 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

Prevalence and determinants of gestational weight gain among pregnant women in Niger

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

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