Prevalence and determinants of anemia among young (15-24 years) women in Ethiopia: A multilevel analysis of the 2016 Ethiopian demographic and health survey data

Effect of nutrition education on dietary diversity and academic achievement among adolescent school girls in North Shoa Zone, Oromia, Ethiopia

OBJECTIVES

Globally, adolescent students, particularly girls, are severely affected by malnutrition, in part because of their specific biological needs, and that they have not been considered a health and nutrition priority. Hence, this study was designed to evaluate the effect of a health belief model-based nutrition education on the dietary diversity and grades of adolescent school girls in the north Shewa zone, Oromia, Ethiopia.

METHODS

A quasi-experimental study was done in the north Shewa zone, Oromia, Ethiopia. Adolescent school girls ages 10 to 19 y old were selected from the zone districts from February 1 to May 30, 2023. The main outcome variables included grades and dietary diversity, which were collected on the baseline and end line from the intervention and control groups.

RESULTS

This study revealed that there were statistically significant differences in good nutritional knowledge, 88.1% versus 69.2% (χ2 = 16.835, P < 0.001), good dietary diversity; 77.4% versus 45.9% (χ2 = 33.247, P < 0.001) and grades above average, 90.6% versus 65.4% (χ2 = 29, P < 0.001) among school adolescent girls between the intervention and control groups, respectively. Regarding positive attitude, 84.3% versus 85.5% (χ2 = 0.098, P = 0.876), there was no statistically significant difference between the intervention and control groups.

CONCLUSIONS

In this study, the dietary diversity scores and grades of adolescent school girls in the intervention group were higher than those in the control group. Therefore, health belief model-based strategies should be recommended as effective communication channels to improve adolescent school girls' dietary diversity and academic performance.

Employing supervised machine learning algorithms for classification and prediction of anemia among youth girls in Ethiopia

In developing countries, one-quarter of young women have suffered from anemia. However, the available studies in Ethiopia have been usually used the traditional stastical methods. Therefore, this study aimed to employ multiple machine learning algorithms to identify the most effective model for the prediction of anemia among youth girls in Ethiopia. A total of 5642 weighted samples of young girls from the 2016 Ethiopian Demographic and Health Survey dataset were utilized. The data underwent preprocessing, with 80% of the observations used for training the model and 20% for testing. Eight machine learning algorithms were employed to build and compare models. The model performance was assessed using evaluation metrics in Python software. Various data balancing techniques were applied, and the Boruta algorithm was used to select the most relevant features. Besides, association rule mining was conducted using the Apriori algorithm in R software. The random forest classifier with an AUC value of 82% outperformed in predicting anemia among all the tested classifiers. Region, poor wealth index, no formal education, unimproved toilet facility, rural residence, not used contraceptive method, religion, age, no media exposure, occupation, and having more than 5 family size were the top attributes to predict anemia. Association rule mining was identified the top seven best rules that most frequently associated with anemia. The random forest classifier is the best for predicting anemia. Therefore, making it potentially valuable as decision-support tools for the relevant stakeholders and giving emphasis for the identified predictors could be an important intervention to halt anemia among youth girls.

An unacceptably high burden of anaemia and it's predictors among young women (15-24 years) in low and middle income countries; set back to SDG progress

BACKGROUND

Anaemia is a major global public health problem, considerably affects young women in resource limited countries. The available researches on anaemia focused on children, pregnant women, or all women of reproductive age. However, women's biology and life experiences vary dramatically across 15 to 49 years, putting young women bear the higher burden of anaemia, mainly in low and middle income countries (LMICs). Therefore, this study assessed the burden of anaemia among young women (15-24 years) in 24 LMICs which conducted Demographic and Health Surveys (DHS) between 2016 and 2021.

METHOD

Data analysis was carried out with STATA version 14. The forest plot was used to explore the pooled prevalence of anaemia. Multilevel binary logistic regression was fitted to accommodate the hierarchical nature of the DHS data. Accordingly, a model with lowest deviance (model III) was the best-fitted model. All variables with a p-value ≤ 0.2 in the bi-variable analysis were fitted in the multi-level multivariable model. Adjusted odds ratio with 95% CI and p < 0.05 were presented to declare statistical significance.

RESULT

The pooled prevalence of anaemia among young (15-24 years) women in 24 LMICs was 41.58% (95%CI: 34.51, 48.65). Country wise, Mali (62.95%) and Rwanda (14.13%) constitute the highest and lowest prevalence of anaemia. In this study, young women who lived in the poorest wealth status, had no education, were underweight, perceived distance to the health facility a big problem, larger family size, and women who had ever terminated pregnancy were associated with increased odds of anaemia. Whereas, young women who were overweight and not breast feeding had decreased odds of anaemia.

CONCLUSION

The unacceptably high burden of anaemia among young women setbacks the SDG target; to end all forms of malnutrition by 2030. Therefore, it is highly recommended to take relevant interventions to reduce the burden of anaemia targeted the young women who are uneducated, have low socio-economic status, limited access to health facilities, and lived in larger family size.

Hemoglobin Levels Among Male Agricultural Workers: Analyses From the Demographic and Health Surveys to Investigate a Marker for Chronic Kidney Disease of Uncertain Etiology

OBJECTIVE

Estimate agricultural work's effect on hemoglobin (Hgb) level in men. A negative effect may indicate presence of chronic kidney disease of uncertain etiology.

METHODS

We use Demographic and Health Surveys data from seven African and Asian countries and use matching to control for seven confounders.

RESULTS

On average, Hgb levels were 0.09 g/dL lower among agricultural workers compared with matched controls. Significant effects were observed in Ethiopia, India, Lesotho, and Senegal, with effects from 0.07 to 0.30 g/dL lower Hgb level among agricultural workers. The findings were robust to multiple control groups and a modest amount of unmeasured confounding.

CONCLUSIONS

Men engaged in agricultural work in four of the seven countries studied have modestly lower Hgb levels. Our data support integrating kidney function assessments within Demographic and Health Surveys and other population-based surveys.

Anaemia and its determinants among reproductive age women (15–49 years) in the Gambia: a multi-level analysis of 2019–20 Gambian Demographic and Health Survey Data

Background

Anaemia is among the top list of the contemporarily public health burden in both developed and developing countries, by affecting mainly women's and children's health.

Objective

This study aimed to identify the burden of anaemia and its individual and community level factors among women in The Gambia.

Method

This study was based on an extensive national survey, Gambian Demographic and Health Survey. A total weighted sample of 5,858 reproductive-age women was included. Because of the hierarchical nature of the DHS data, a multi-level logistic regression model was applied to study individual and community-level factors that may influence anaemia. A 95% confidence interval and a p-value of less than 0.05 were used to declare statistical significance.

Result

The overall prevalence of anemia was found 44.28% (95% CI 0.43, 0.46). Current users of contraceptives were (AOR = 0.66, 95% CI: (0.55- 0.79)) and currently pregnant (AOR = 1.44. 95% CI: (1.16, 1.81)) less likely and more likely to develop anaemia compared to their counterparts respectively. In addition to this, living in the region of Brikama (AOR = 0.69, 95% CI: (0.50–0.97)) less likely to be exposed to anemia. From community level factor, high distance to the health facilities (AOR = 1.23,95% CI 1.02–1.48) were associated with anemia.

Conclusion

The study revealed that the burden of anaemia among reproductive age Gambian women was very high. Anaemia was affected by both individual and community levels of factors. Thus, the burden of anaemia could be significantly reduced if pregnant and contraceptive users' women were monitored and encouraged. Increasing the accessibility of health facilities, community mobilization, and awareness enhancement are also advisable.

Rural-urban differentials in the relationship between household wealth index and maternal anaemia status in Nigeria

Anaemia - a condition of low haemoglobin level in the blood is prevalent among women in Nigeria despite years of interventions. Wealth status have implications for this prevalence but there is a dearth of research examining this relationship and residential dimensions in it. The social determinant of health framework was employed to understand the rural-urban dimension of this relationship. Chi-square test and multivariate logit regression models were used to analyse data from the 2018 Nigeria Demographic and Health Survey (n=13,575). We found that anaemia status is higher among rural women (66%). The odds of being anaemic is higher with decreasing wealth status irrespective of place of residence but the odds are higher for poor women in urban areas compared to poor women in rural areas after adjusting for covariates. Maternal health interventions should be more innovative in their design of programs by being sensitive of residential dimension.

Multilevel analysis of determinants of anemia among young women (15-24) in sub-Sahara Africa

Background

Anemia is a disorder by which the body’s red blood cells are inadequate to fulfill The physiological needs of the body. The World Health Organization (WHO) defines anemia as having a hemoglobin (Hb) level of less than 120 g/l for nonpregnant women and 110 g/l for pregnant women. It has serious implications for human health as well as negative social and economic consequences like decreased workforce, impaired learning, and stunted child development. As these women are highly vulnerable to different micro and macro-nutritive deficiency associated with rapid physical, mental and psychological development, particular attention should be given to a young woman (15–24). Therefore this study assesses the magnitude and determinants of anemia among young women in sub-Saharan Africa (SSA).

Methods

This was a secondary data analysis based on the Demographic and Health Surveys (DHS) data conducted in sub-Saharan Africa. We pooled the most recent DHS surveys done in 31 sub-Sahara Africa and a total weighted sample of 88, 832 young women (15–24 years) were included. At bivariable analysis, variables with a p-value of ≤0.2 were selected for multivariable analysis, and at the multivariable analysis variables with a p-value of ≤0.05 were considered as a significant factor associated with anemia among young women (15–24 years).

Results

The pooled prevalence of anemia among young women (15–24) in sub-Sahara Africa was 42.17% [95%CI: 41.85, 42.50]. Young women of aged 20–24 years [AOR = 0.92, 95%CI: 0.89–0.95], women from rich household [AOR = 0.83, 95%CI: 0.80–0.87], young women with primary [AOR = 0.7, 95%CI: 0.67–0.72], secondary [AOR = 0.72, 95%CI: 0.69–0.75] and higher educational status [AOR = 0.58, 95%CI: 0.53–0.64], married women [AOR = 1.12, 95%CI: 1.08–1.17], divorced/separated/widowed women [AOR = 1.16, 95%CI: 1.08–1.25], women who use modern contraceptive [AOR = 0.65, 95%CI: 0.62–0.67], young women who ever had terminated pregnancy [AOR = 1.22, 95%CI: 1.14–1.29], overweight young woman [AOR = 0.79, 95%CI: 0.76–0.82] and young women from female-headed household [AOR = 0.94, 95%CI: 0.91–0.97] were the individual-level factors that significantly associated with anemia of young women. Meanwhile, being a rural dweller [AOR = 0.82, 95%CI: 0.79–0.85] and high community educational level [AOR = 0.87, 95%CI: 0.70–0.97] were the community level determinant of anemia. Interclass correlation coefficient (ICC), Median Odds Ratio (MOR) and Percentage change in variance (PCV) were done for the assessment of the random effect model of the multilevel analysis. The ICC value in the null model was 0.05, which indicates that 5% of the variation in anemia among young women in sub-Saharan Africa was attributed to community-level factors.

Conclusion

The prevalence of anemia among young women in this study was higher compared with reports from the previous studies. Divorced/separated/widowed women, married women and women with ever terminated pregnancy, young women with primary, secondary and higher educational achievement, being rural dwellers, young women aged 20–24 years, being from rich households and women who used modern contraceptives were factors that significantly associated with anemia among young women. Therefore, particular attention should be given to those higher-risk women including, young women with a history of a terminated pregnancy, those from rural areas and young women aged 15–19 years to reduce the burden of anemia among these young women as the continuity of the future generation depends on the health of young women.

Prevalence and determinants of anemia among Iranian population aged ≥35 years: A PERSIAN cohort-based cross-sectional study

Background

So far, no comprehensive studies have been performed to assess burden and determinants of anemia in Iran. In the present study, we aimed to answer this query using the data obtained from the Prospective Epidemiological Research Studies in IrAN (PERSIAN).

Methods

In this cross-sectional study, we included 161,686 adult participants (aged 35 years and older) from 16 provinces of Iran. Anemia was defined as a hemoglobin concentration of <13 g/dL in males and <12 g/dL in females. To evaluate the association between anemia and different factors, we used the multivariable Poisson regression analysis with robust variance by applying adjusted prevalence ratio (PR) with 95% confidence interval (CI).

Results

Of the total number of subjects, 72,387 (44.77%) were male and others were female. Mean age was 49.39±9.15 years old. The overall age- and sex-standardized prevalence of anemia was 8.83% (95% CI: 8.70–8.96%) in the included population. The highest and the lowest age- and sex-standardized prevalence of anemia pertained to Hormozgan (37.41%, 95% CI: 35.97–38.85%) and Kurdistan (4.57%, 95% CI: 3.87–5.27%) provinces, respectively. Being female (PR = 2.97), rural residence (PR = 1.24), being retired (PR = 1.53) and housewife (PR = 1.11), third and fourth wealth status quartiles (PR = 1.09 and PR = 1.11, respectively), being underweight (PR = 1.49), drug user (PR = 1.35), inadequate sleep (PR = 1.16), poor physical activity (PR = 1.15), diabetes (PR = 1.09), renal failure (PR = 2.24), and cancer (PR = 1.35) were associated with increased risk of anemia. On the other hand, illiteracy (PR = 0.79) and abdominal obesity (PR = 0.77) decreased the risk of anemia.

Conclusions

According to the results, a variable prevalence of anemia was observed across the included provinces. We tried to provide an informative report on anemia prevalence for health professionals and authorities to take measures for identification and management of the cases of anemia in high-prevalence areas.

Menstrual abnormality, maternal illiteracy, and household factors as main predictors of anemia among adolescent girls in Ethiopia: Systematic review and meta-analysis

Background:

Adolescent girls are more likely to develop anemia as a result of physical and physiological changes that place a greater strain on their nutritional needs. Primary studies, on the other hand, may not be sufficient to provide a complete picture of anemia in adolescent girls and its major risk factors.

Objective:

The study aimed to describe the pooled prevalence of adolescent girls’ anemia and the factors that contribute.

Methods:

We conducted a systematic review of observational studies using the databases CINAHL (EBSCO), PubMed, Science Direct, Cochrane Library, and Google Scholar. The Newcastle-Ottawa Scale was used to assess the quality of the articles, and studies of fair to good quality were included. We pooled anemia prevalence among adolescents and odds ratio estimates for risk factors. Subgroup analysis employing sample size and study setup was computed to determine the source of heterogeneity, and the I2 test was used to identify the existence or absence of substantial heterogeneity during subgroup analysis. The pooled prevalence of adolescent girls’ anemia was calculated using a random-effects meta-analysis model.

Results:

The overall pooled prevalence of anemia among adolescent girls in Ethiopia was 23.03% (95% confidence interval: 17.07, 28.98). Low dietary diversity (odds ratio: 1.56; 95% confidence interval: 1.05, 2.32), illiterate mothers (odds ratio: 1.45; 95% confidence interval: 1.13, 1.86), household size greater than five (odds ratio: 1.65; 95% confidence interval: 1.14, 2.38), food-insecure households (odds ratio: 1.48; 95% confidence interval: 1.21, 1.82), and menstrual blood flow more than 5 days (odds ratio: 6.21; 95% confidence interval: 1.67, 23.12) were the identified factors associated with anemia among adolescent girls.

Conclusion:

The pooled prevalence of anemia among adolescent girls in Ethiopia was moderately high. Therefore, to combat the burden of anemia among adolescent girls offering nutritional education is crucial. Iron supplementation is also recommended for adolescent females who have a menstrual cycle that lasts longer than 5 days.