2021
DOI: 10.9734/jpri/2021/v33i59b34434
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Prevalence and Determinants of Anaemia among Reproductive-aged Women in Ethiopia: A Nationally Representative Cross-sectional Study

Abstract: Anaemia in reproductive-aged women is a worldwide health problem. This study was aimed to assess prevalence and determinants of anaemia among reproductive-aged women in Ethiopia. Data for the study were obtained from 2016 Ethiopian demographic and health survey data, which is a national representative cross-sectional data. A Multivariable logistic regression model was applied to identify determinants of anaemia among reproductive-aged women. A total of 14460 women who aged 15 to 49 years were included in the s… Show more

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Cited by 8 publications
(5 citation statements)
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“…Maternal age was discovered to be a major predictor of anemia in women in the Somali regional state in this study. This result is consistent with the study conducted in Uganda and Ethiopia [7,15]. The reason could be that women in reproductive age groups give birth to more children overall.…”
Section: Discussionsupporting
confidence: 92%
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“…Maternal age was discovered to be a major predictor of anemia in women in the Somali regional state in this study. This result is consistent with the study conducted in Uganda and Ethiopia [7,15]. The reason could be that women in reproductive age groups give birth to more children overall.…”
Section: Discussionsupporting
confidence: 92%
“…It was discovered that anemic women were less likely to reside in urban areas than in rural ones. This investigation agreed with studies carried out in several regions of Ethiopia [15,14,32]. This discrepancy may be caused by the higher household income, better antenatal care services, and better access to mass media for health service usages among women who live in metropolitan regions.…”
Section: Discussionsupporting
confidence: 87%
See 1 more Smart Citation
“…According to prior studies, neonatal mortality is determined by factors like sex of child, birth type, size of child at birth, birth weight, child's birth order, preceding birth interval, region, place of residence, number of Antenatal(ANC) visit of mother during pregnancy, number of Postnatal Care (PNC) visit of mother, place of delivery, mode of delivery, age of mother, educational level of mother, educational level of father, religion of mother, family size, household wealth index, parity, maternal anaemia, and marital status of mother [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…The main limitation of this study that the EMDHS is mostly based on respondents' self-report and might have the possibility of recall bias. In addition, variables such as weight at birth [48,55,56], anemia status of mother [56][57][58], breastfeeding status of child [7,48,59], diarrhea [49,60,61], desire of pregnancy [62][63][64][65], employment status of mother [49,66,67], educational level of father [68][69][70] and maternal HIV status [71][72][73] were not included in the study due to large number of missing values/unavailability in the dataset.…”
Section: Strength and Limitations Of The Studymentioning
confidence: 99%