Micronutrient intake and associated factors among pregnant women in East Africa: Multilevel logistic regression analysis. 2023

Ermias Bekele Enyew, and Abiyu Abadi Tareke, and Abiy Tasew Dubale, and Samrawit Mihret Fetene, and Mohammedjud Hassen Ahmed, and Mahider Shimelis Feyisa, and Habtamu Setegn Ngusie
Department of Health Informatics, Mettu University, Mettu, Ethiopia.

Micronutrient deficiencies during pregnancy pose significant public health issues, considering the potential for negative consequences not only during pregnancy but also throughout life. Anemia in pregnant women is becoming a significant problem in developing countries, with scientific evidence indicating that 41.8 percent of women worldwide suffer from anemia. As a result, investigating the pooled prevalence and factors associated with micronutrient intake among pregnant women in East Africa is critical to alleviate the burden of micronutrient deficiency among pregnant women. The pooled prevalence of micronutrient intake with a 95% Confidence Interval (CI) was reported and presented in a forest plot for East Africa Countries using STATA version 14.1. Intra-class Correlation Coefficient (ICC), Likelihood Ratio (LR) test, Median Odds Ratio (MOR), and deviance (-2LLR) values were used for model comparison and fitness. Adjusted Odds Ratios (AOR) with a 95% Confidence Interval (CI) and p-value ≤0.05 in the multilevel logistic model were used to declare significant factors associated with micronutrient intake. The pooled prevalence of micronutrient intake in East African countries was 36.07% (95% CI: 35.82%, 36.33%). In the multilevel logistic regression model, women from the highest wealth quintile were 1.06 [AOR = 1.09, 95%CI: 1.00, 1.11] more likely to take micronutrients compared to their counterparts. Mothers who attained primary education, secondary education, and tertiary education had 1.20 times [AOR = 1.20, 95% CI: 1.15, 1.26], 1.28 times [AOR = 1.28, 95% CI: 1.19, 1.36] and 1.22 times [AOR = 1.22, 95% CI: 1.07, 1.38] more likely take micronutrient compared to mothers who attained no education, respectively. The overall prevalence of micronutrient intake in East Africa was low. Only 36% of the study participants had micronutrient intake practice. Socioeconomic factors (education level, and household wealth status) have been shown to influence micronutrient intake. Therefore, it is necessitates the continuation of ongoing projects as well as the development of fresh ones that concentrate on these variables and include effective treatments and programs, especially among underprivileged and vulnerable populations.

UI MeSH Term Description Entries
D011247 Pregnancy The status during which female mammals carry their developing young (EMBRYOS or FETUSES) in utero before birth, beginning from FERTILIZATION to BIRTH. Gestation,Pregnancies
D004435 Eating The consumption of edible substances. Dietary Intake,Feed Intake,Food Intake,Macronutrient Intake,Micronutrient Intake,Nutrient Intake,Nutritional Intake,Ingestion,Dietary Intakes,Feed Intakes,Intake, Dietary,Intake, Feed,Intake, Food,Intake, Macronutrient,Intake, Micronutrient,Intake, Nutrient,Intake, Nutritional,Macronutrient Intakes,Micronutrient Intakes,Nutrient Intakes,Nutritional Intakes
D005260 Female Females
D006306 Health Surveys A systematic collection of factual data pertaining to health and disease in a human population within a given geographic area. Abortion Surveys,Abortion Survey,Health Survey,Survey, Abortion,Survey, Health,Surveys, Abortion,Surveys, Health
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000351 Africa, Eastern The geographical area of Africa comprising BURUNDI, DJIBOUTI, ERITREA, ETHIOPIA, KENYA, RWANDA, SOMALIA, SOUTH SUDAN, SUDAN, TANZANIA, and UGANDA. East Africa,Eastern Africa
D000740 Anemia A reduction in the number of circulating ERYTHROCYTES or in the quantity of HEMOGLOBIN. Anemias
D016015 Logistic Models Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor. Logistic Regression,Logit Models,Models, Logistic,Logistic Model,Logistic Regressions,Logit Model,Model, Logistic,Model, Logit,Models, Logit,Regression, Logistic,Regressions, Logistic
D055361 Multilevel Analysis The statistical manipulation of hierarchically and non-hierarchically nested data. It includes clustered data, such as a sample of subjects within a group of schools. Prevalent in the social, behavioral sciences, and biomedical sciences, both linear and nonlinear regression models are applied. Analyses, Multilevel,Analysis, Multilevel,Multilevel Analyses
D018977 Micronutrients Essential dietary elements or organic compounds that are required in only small quantities for normal physiologic processes to occur. Micronutrient

Related Publications

Ermias Bekele Enyew, and Abiyu Abadi Tareke, and Abiy Tasew Dubale, and Samrawit Mihret Fetene, and Mohammedjud Hassen Ahmed, and Mahider Shimelis Feyisa, and Habtamu Setegn Ngusie
January 2023, Malaria journal,
Ermias Bekele Enyew, and Abiyu Abadi Tareke, and Abiy Tasew Dubale, and Samrawit Mihret Fetene, and Mohammedjud Hassen Ahmed, and Mahider Shimelis Feyisa, and Habtamu Setegn Ngusie
January 2021, Maternal & child nutrition,
Ermias Bekele Enyew, and Abiyu Abadi Tareke, and Abiy Tasew Dubale, and Samrawit Mihret Fetene, and Mohammedjud Hassen Ahmed, and Mahider Shimelis Feyisa, and Habtamu Setegn Ngusie
February 2024, BMJ open,
Ermias Bekele Enyew, and Abiyu Abadi Tareke, and Abiy Tasew Dubale, and Samrawit Mihret Fetene, and Mohammedjud Hassen Ahmed, and Mahider Shimelis Feyisa, and Habtamu Setegn Ngusie
January 2022, Women's health (London, England),
Ermias Bekele Enyew, and Abiyu Abadi Tareke, and Abiy Tasew Dubale, and Samrawit Mihret Fetene, and Mohammedjud Hassen Ahmed, and Mahider Shimelis Feyisa, and Habtamu Setegn Ngusie
January 2023, Frontiers in reproductive health,
Ermias Bekele Enyew, and Abiyu Abadi Tareke, and Abiy Tasew Dubale, and Samrawit Mihret Fetene, and Mohammedjud Hassen Ahmed, and Mahider Shimelis Feyisa, and Habtamu Setegn Ngusie
January 2024, PloS one,
Ermias Bekele Enyew, and Abiyu Abadi Tareke, and Abiy Tasew Dubale, and Samrawit Mihret Fetene, and Mohammedjud Hassen Ahmed, and Mahider Shimelis Feyisa, and Habtamu Setegn Ngusie
August 2022, BMC women's health,
Ermias Bekele Enyew, and Abiyu Abadi Tareke, and Abiy Tasew Dubale, and Samrawit Mihret Fetene, and Mohammedjud Hassen Ahmed, and Mahider Shimelis Feyisa, and Habtamu Setegn Ngusie
January 2023, Frontiers in public health,
Ermias Bekele Enyew, and Abiyu Abadi Tareke, and Abiy Tasew Dubale, and Samrawit Mihret Fetene, and Mohammedjud Hassen Ahmed, and Mahider Shimelis Feyisa, and Habtamu Setegn Ngusie
January 2021, PloS one,
Ermias Bekele Enyew, and Abiyu Abadi Tareke, and Abiy Tasew Dubale, and Samrawit Mihret Fetene, and Mohammedjud Hassen Ahmed, and Mahider Shimelis Feyisa, and Habtamu Setegn Ngusie
April 2023, Archives of public health = Archives belges de sante publique,
Copied contents to your clipboard!