Prevalence of anemia and its associated factors among children under five years of age attending at Guguftu health center, South Wollo, Northeast Ethiopia

Gebreweld, Angesom; Ali, Neima; Ali, Radiya; Fiseha, Temesgen

doi:10.1371/journal.pone.0218961

Cited by 110 publications

(181 citation statements)

References 31 publications

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“…In addition, the Ghana Living Standard Survey Round 7 report suggests that the Northern, Upper East and Upper West Regions are leading poor regions in Ghana [ 39 ]. These findings are also supported by prior studies [ 2 , 40 ]. In this regard, poverty reduction should be considered as part of the strategies to eradicate anaemia in Ghana.…”

Section: Discussionsupporting

confidence: 92%

“…A cross-sectional survey on pediatric anaemia in rural Ghana also found that younger age was a risk factor of anaemia [ 37 ]. In Ethiopia, [ 2 ] revealed that children of low socio-economic status were five times more likely to be anaemic compared to children of high socio-economic status. These findings may be explained by poverty-related malnutrition [ 38 ].…”

Section: Discussionmentioning

confidence: 99%

“…Anaemia is a global public health problem. Anaemia is prevalent among children under-five years, especially in developing countries [ 1 , 2 ]. In this study, anaemia refers to haemoglobin levels below or equal to10.9 g/dl.…”

Section: Introductionmentioning

confidence: 99%

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Association between health insurance membership and anaemia among children under-five years. Evidence from Ghana

et al. 2020

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Introduction Anaemia is prevalent among children in developing countries. The main objective of this study was to assess the association between health insurance membership and anaemia among Ghanaian children under-five years. Methods We obtained Ghana’s Multiple Indicators Cluster Survey, 2011 dataset from the United Nations International Children’s Emergency Fund. Data were analyzed with the aid of Stata/IC, version 15. Results The prevalence of anaemia among Ghanaian children under-five years was estimated to be 57%. Majority (73%) of the children were not insured. Health insurance membership was found to be a significant predictor of anaemia among children under-five years. Conclusion Health insurance membership is a protective factor against anaemia among children under-five years. In the quest to eradicate anaemia among children, stakeholders would have to review the benefit package of the National Health Insurance Scheme coupled with prioritizing anaemia prevention interventions among more vulnerable children.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

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Association between health insurance membership and anaemia among children under-five years. Evidence from Ghana

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“…The other factor strong association with both anemia and severe anemia is the wealth status of the family. The child with poor family highly affected by anemia and severe anemia this output in line with other ndings done in different areas [37][38][39][40]. This nding could be due to the reason for problems in production or purchasing necessary food for themselves and their children, so they can not get iron-rich foods.…”

Section: Model Comparisonsupporting

confidence: 83%

Spatial Heterogeneity and Factors Influencing Anemia and Severe Anemia among Under-5 Children in Ethiopia: Spatial and Multilevel Analysis

Hailu

Bogale

Miheretu

et al. 2020

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Background: Anemia is recognized as a significant public health problem in Ethiopia. Method: This secondary analysis, sampling technique and procedures done by DHS. A total of 8482 children aged 6–59 months were included in the study from EDHS 2016. Used tools for spatial heterogeneity analysis are Morans I, Local G*, Heat map, and Kulldorﬀ’s scan statistic, those carried out open source software (QGIS, GeoDa, SaTScan). Multilevel logistic regression analysis was used to identify both individual and household level factors associated with anemia and severe anemia, which measures between household variability using IHHC of the null model and generates 4 models PCV, AIC, and log-likelihood ratio used model selection for a report, which is carried out Stata 14.Result: The highest risk of both anemia and severe anemia regions are Somalia, Afar, DireDawa, and Harari. Specifically, all zones of Somalia, Afar (zone1, and 3), DireDawa, Harari, and Oromia higher risk of anemia and some of them are high risk for severe anemia. The high concentration of the disease showed in DireDawa, Harari, Jigjiga some part of Gambela and Benishangul Afar at the boundary of Amhara and Tigray and Eastern part of Tigray for anemia. Harari, DireDawa, and Afar at the border of Djibouti had high concentrated(density) severe anemia. Children (Younger age, lower preceding birth interval, stunted, underweight); mothers (younger age and anemic); households (poor and denser family number); and children from the highest and the lowest ecological zone are high risk for anemia. Additionally, children from the younger, work less, uneducated, poor, and anemic mother were high risk of a severe anemiaConclusion: Across the country, anemia is high, especially rift value areas highly affected by both anemia and severe anemia like Somalia regions and its neighbors. Those regions are not productive areas, lack of health facility, malaria region, backward for any access. So the concerned body must be tackled to minimize this childhood series problem. Before starting any intervention first must be prioritized according to risk, concentration, and characteristics.

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“…Some previous studies espoused that there is a direct link between food consumption and anaemia. Due to this, in household where there is no food security, it can affect the nutritional status of children, which could contribute to anaemia (Ali et al, 2013;Gebreweld, Ali, Ali & Fisha, 2019). Relatedly, we found that children in large households had higher odds of suffering from anaemia compared to those in small household.…”

Section: Discussionmentioning

confidence: 62%

Household Cooking Fuel Type and Child Anaemia in Sub-saharan Africa: Insights From Demographic and Health Surveys

Amadu

Seidu

Afitiri

2020

Preprint

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Background Childhood anaemia is one of the major public health concerns in low and middle-income countries, contributing substantially to childhood mortality and morbidity. This study, therefore, sought to investigate the association between household cooking fuel type, and the joint impact of household cooking fuel type and urbanicity on anaemia among children under the age of 5 in sub-Saharan Africa. Methods We analysed cross-sectional data of 95,056 children under the age of 5 from 29 sub-Saharan African countries. Bivariate and multivariate analyses were performed using chi-square test of independence and negative log-log regression respectively at p < 0.05. Results were presented as Adjusted Odds Ratios for the negative log-log regression analysis. Results The percentage of children who had anaemia was 57%. Children from rural households that depend on unclean cooking fuels were more likely to be anaemic [AOR = 1.042; 95% CI = 1.010–1.074] compared to children from urban households using unclean cooking fuel. We also found that children in female headed households [AOR = 1.047; CI = 1.019–1.076], children in large households [AOR = 1.066; CI = 1.021–1.113]; those in households with improved source of drinking water [AOR = 1.035; CI = 1.006–1.065] had higher odds of suffering from anaemia. However, children with normal weight [AOR = 0.946;CI = 0.916–0.976], children aged 4 [AOR = 0.900; CI = 0.868–0.934], children whose mothers are aged 45–49 [AOR = 0.866; CI = 0.778–0.963] and those aged 30–34 [AOR = 0.868; CI = 0.815–0.925], children whose mothers had tertiary level of education [AOR = 0.865; CI = 0.809–0.925], children in rich households [AOR = 0.935; CI = 0.904–0.968] and those in households with improved type of toilet facility [AOR = 0.955; CI = 0.929–0.981] had lower odds of being anaemic. Conclusion Our study established an association between the joint effect of type of household cooking fuel and urbanicity and anaemia among children under the age of 5 in SSA. Childs’ birthweight, current age, maternal age, sex of household head, age of household head, maternal education, wealth status, size of household, type of source of drinking water and country of residence are associated with childhood anaemia. It is therefore critical to promote the usage of clean cooking fuels among households and women in rural areas. This could be done by governments in various countries subsidising the cost of liquefied petroleum gases and cylinders. Stakeholders that seek to improve maternal and child health should also take these associated factors into consideration.

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Prevalence of anemia and its associated factors among children under five years of age attending at Guguftu health center, South Wollo, Northeast Ethiopia

Cited by 110 publications

References 31 publications

Association between health insurance membership and anaemia among children under-five years. Evidence from Ghana

Association between health insurance membership and anaemia among children under-five years. Evidence from Ghana

Spatial Heterogeneity and Factors Influencing Anemia and Severe Anemia among Under-5 Children in Ethiopia: Spatial and Multilevel Analysis

Household Cooking Fuel Type and Child Anaemia in Sub-saharan Africa: Insights From Demographic and Health Surveys

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