Anaemia and associated factors among children aged 6–23 months in agrarian community of Bale zone: a cross-sectional study

Tegegne, Mekonnen; Abate, Kalkidan Hassen; Belachew, Tefera

doi:10.1017/jns.2022.63

Cited by 7 publications

(12 citation statements)

References 32 publications

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“…Consistent with previous studies [31,34,35], a recent history of diarrhea (AOR = 1.43; 95% CI: 1.06; 1.92) emerged as a predictor of anemia in this age group. This association can be explained by the fact that diarrhea leads to a decrease in body uids, resulting in the loss of important nutrients, such as iron, due to poor absorption in the gastrointestinal tract.…”

Section: Discussionsupporting

confidence: 90%

“…Variables related to the child's mother and household included anemia (anemic or not), educational level (no education, primary, secondary, and higher education), economic activity (working or not), current breastfeeding (yes or no), interval between previous births (< 24,[24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47], and more than 47 months), birth order (< 5 and 5 or more), BMI (underweight, overweight, obesity, and normal weight), anemia (no anemia, mild, moderate, severe), household size (less than 5 and 5 or more individuals), number of children in the household (less than 3 and 3 or more), gender of the household head, water source (improved or not), and type of sanitation (improved or not).…”

Section: Predictor Variablesmentioning

confidence: 99%

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Maternal Anemia Emerges as a Potential Risk Factor for Anemia in Children Aged 6-59 Months in Tanzania: Evidence from the 2022 TDHS-MIS Cross-Sectional Household Survey

Xavier,

Victor,

Gotine

et al. 2024

Preprint

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Background: Various studies have explored the risk factors for anemia in children aged 6 to 59 months, but the effect of maternal anemia on child anemia has been less examined. This study sought to analyze the impact of maternal anemia on anemia in children in this age group in Tanzania. Methods: Data was extracted from the Tanzania TDHS-MIS 2022, conducted from March to July. A total of 2,500 children aged between 6 and 59 months were included in the final analysis. The analysis considered both univariate and multivariate odds ratios (COR and AOR, respectively), with a 95% CI, as determinants of anemia. Data was analyzed using R software. Results:The overall prevalence of anemia in children aged 6 to 59 months was 70.16% (95% CI = 68.32; 71.95), with 40.8% of cases classified as mild, 56.4% moderate, and 2.8% as severe. This prevalence was higher in children < 24 months (75.1%). In the model adjusted for other factors, maternal anemia emerged as a potential indicator for anemia in this age group, with an AOR of 1.48 (95% CI: 1.18; 1.87) for mild anemia, 1.71 (95% CI: 1.32; 2.21) for moderate, and 2.14 (95% CI: 1.08; 4.26) for severe anemia. Furthermore, children under 24 months, males, with a recent history of diarrhea, in families with more than two children, and with mothers aged between 20 and 29 years, were more likely to develop anemia. On the other hand, children who received drugs for intestinal parasitosis in the last six months were less likely to have anemia. Conclusion:This study highlights the high prevalence of child anemia in Tanzania, especially in children under 24 months. Maternal anemia emergedas a significant potential predictor for child anemia. Targeted interventions that address both maternal and child health are crucial for reducing the prevalence of anemia and improving child health outcomes.

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Section: Discussionsupporting

confidence: 90%

Section: Predictor Variablesmentioning

confidence: 99%

Maternal Anemia Emerges as a Potential Risk Factor for Anemia in Children Aged 6-59 Months in Tanzania: Evidence from the 2022 TDHS-MIS Cross-Sectional Household Survey

Xavier,

Victor,

Gotine

et al. 2024

Preprint

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“…The characteristics of included studies were described in Table 1 [ 13 – 20 ]. Four studies were Ethiopia Demographic Health Survey [ 14 , 15 ], 2 in Amhara [ 17 , 20 ], 3 in Oromia [ 18 , 19 , 30 ] and 3 in SNNPE [ 13 , 16 , 31 ]. Of the total population 14, 733, the major contributor of the population was EDHS (9878) followed by 1992 from SNNPE, 1920 from Oromia and 943 from Amhara.…”

Section: Outcomementioning

confidence: 99%

“…The population age distribution of the included studies was similar, ranged from 6 to 23 months. Although, Woldie, H. et al [ 20 ], Sorsa, Aet al [ 18 ] and Heinrichs, H. et al [ 15 ] did not report the mean age, it ranged from 11.58 ± 2.75 [ 19 ] to 14.7 ± 5.1 months [ 17 ]. The reported prevalence of anemia ranged from 44.4% [ 18 ] up to 72.3% [ 14 ] across the included studies (Table 1 ).…”

Section: Outcomementioning

confidence: 99%

Prevalence of anemia and its associated factors among children aged 6–23 months, in Ethiopia: a systematic review and meta analysis

Azmeraw,

Kassaw,

Habtegiorgis

et al. 2023

BMC Public Health

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Introduction Despite several strategies exist for anemia prevention and control, it has been the major public health important problem in the world. Numerous immediate and long-term health issues were reported in children who have history of anemia including decreased work productivity in adult hood period. Although analyzing data on burden and risk factors of anemia are the recommended action areas of World Health Organization framework for accelerating anemia reduction, the aggregated national burden and contributors of anemia in Ethiopia has not been determined so far. There for, this systematic and meta-analysis study is aimed to assess the pooled prevalence and associated factors of anemia among children aged 6–23 months in Ethiopia. Methods The electronic databases including PubMed, Scopus, EMBASE, Web of Science, Science Direct, Google scholar and institutional repositories were searched using search terms. The studies that reported the prevalence and/or risk factors of anemia in children 6–23 months of age were included. The JBI quality assessment tool was used to evaluate the quality of each study. The data was extracted with Microsoft Excel, 2019 and analyzed with STATA 17.0 statistical software. A random effect model was used to estimate the pooled prevalence of anemia and its associated factors. The Cochrane Q-test statistics and I2 test were used to measure heterogeneity between the included studies. Furthermore, publication bias was examined using the funnel plot graph and statistical tests (Egger’s and begg tests). Outliers also visualized using Galbraith plot. When necessary, sensitivity analysis was also employed to detect small study effect. Result Ten studies with a total population of 14, 733 were included for analysis. The pooled prevalence of anemia among children aged 6–23 months of age in Ethiopia was found to be 57.76% (95%CI; 51.61–63.91; I2 = 97.192%; p < 0.001). Having history of diarrhea AOR = 2.44 (95%CI: 1.03–3.85), being stunted AOR = 2.00 (95%CI: 1.38–2.61), living in food insecure house hold AOR = 2.08 (95%CI: 1.10–3.07), consuming less diversified food AOR = 2.73 (95%CI: 2.06–3.39) and being 6–11 months of age AOR = 1.59 (95%CI: 1.23–1.95) were associated with anemia. Conclusion and recommendation The prevalence of anemia is in the range of severe public health problem among children aged 6–23 months in Ethiopia. Diarrhea, stunting, house hold food insecurity, dietary diversity, and age were the predictors of anemia. Further, prospective cohort and random controlled trial studies are recommended. Further, random controlled trial especially effectiveness of nutritional education interventions trial is important. To reduce prevalence of anemia, strengthening diarrhea reduction program, securing household food insecurity, preventing stunting, giving special attention for infants age 6–11 months and encouraging food diversification are important.

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“…Previous studies have concentrated on specific types of undernutrition in children aged 0–56 or 6–59 months 29 – 31 , 37 , 40 , 47 . Furthermore, existing evidence in Ethiopia that shows problem of malnutrition during the first 0–23 months was limited to local areas 10 , 16 , 48 – 50 , with some focusing on anaemia 51 , 52 , and levels of dietary diversity 53 . As far as our knowledge, there have been no studies conducted exclusively among children aged 0 to 23 months, using nationally representative data and rigorous analysis.…”

Section: Introductionmentioning

confidence: 99%

Determinants of undernutrition among young children in Ethiopia

Sahiledengle

Mwanri

Petrucka

et al. 2022

Sci Rep

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Ethiopia is one of the countries in sub-Saharan Africa with the highest burden of childhood undernutrition. Despite the high burden of this scourge, little is known about the magnitude and contributing determinants to anthropometric failure among children aged 0–23 months, a period regarded as the best window of opportunity for interventions against undernutrition. This study examined factors associated with undernutrition (stunting, wasting, and underweight) among Ethiopian children aged 0–23 months. This study used a total weighted sample of 2146 children aged 0–23 months from the 2019 Ethiopian Mini Demographic and Health Survey. The data were cleaned and weighted using STATA version 14.0. Height-for-age (HFA), weight-for-height (WFH), and weight-for-age (WFA) z-scores < − 2 SD were calculated and classified as stunted, wasting, and underweight, respectively. Multilevel mixed-effects logistic regression models adjusted for cluster and survey weights were used. Adjusted odds ratio (AOR) and 95% confidence interval (CI) were estimated. Statistical significance was declared at p < 0.05. The overall weighted prevalence of stunting, wasting, and underweight respectively were 27.21% [95% CI (25.32–29.18)], 7.80% [95% CI (6.71–9.03)], and 16.44% [95% CI (14.90–18.09)] among children aged 0–23 months in Ethiopia. Female children were less likely to be associated with stunting [AOR: 0.68, 95% CI (0.54–0.86)], wasting [AOR: 0.70, 95% CI (0.51, 0.98)], and underweight [AOR: 0.64, 95% CI (0.49, 0.83)] than their male counterparts. Conversely, older children aged 12–17 months [AOR: 2.22, 95% CI (1.52, 3.23)] and 18–23 months [AOR: 4.16, 95% CI (2.75, 6.27)] were significantly at an increased odds of becoming stunted. Similarly, the likelihood of being underweight was higher in older age groups: 6–11 months [AOR: 1.74, 95% CI (1.15, 2.63)], 12–17 months [AOR: 2.13, 95% CI (1.40, 3.24)], and 18–23 months [AOR: 4.08, 95% CI (2.58, 6.44)] compared with the children younger than 6 months. Lower wealth quintile was one of the other significant determinants of stunting and underweight. The study’s findings indicated that the most consistent significant risk factors for undernutrition among children aged 0–23 months are: male sex, older age groups and lower wealth quintile. These findings emphasize the importance of strengthening nutrition-specific and sensitive interventions that address the immediate and underlying drivers of childhood undernutrition in early life, as well as targeting low-income households with male children, in order for Ethiopia to meet the Sustainable Development Goals (SDGs) 1,2 and 3 by 2030.

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Anaemia and associated factors among children aged 6–23 months in agrarian community of Bale zone: a cross-sectional study

Cited by 7 publications

References 32 publications

Maternal Anemia Emerges as a Potential Risk Factor for Anemia in Children Aged 6-59 Months in Tanzania: Evidence from the 2022 TDHS-MIS Cross-Sectional Household Survey

Maternal Anemia Emerges as a Potential Risk Factor for Anemia in Children Aged 6-59 Months in Tanzania: Evidence from the 2022 TDHS-MIS Cross-Sectional Household Survey

Prevalence of anemia and its associated factors among children aged 6–23 months, in Ethiopia: a systematic review and meta analysis

Determinants of undernutrition among young children in Ethiopia

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