Anemia and its associated factors among women of reproductive age in eastern Africa: A multilevel mixed-effects generalized linear model

• Published in: PloS one Vol. 15; no. 9; p. e0238957
• Main Authors: Teshale, Achamyeleh Birhanu, Tesema, Getayeneh Antehunegn, Worku, Misganaw Gebrie, Yeshaw, Yigizie, Tessema, Zemenu Tadesse, Spradley, Frank T
• Format: Journal Article
• Language: English
• Published: San Francisco Public Library of Science 11.09.2020; Public Library of Science (PLoS)
• Subjects: Age; Anemia; Confidence intervals; Contraceptives; Data analysis; Demographic aspects; Distribution; Drinking water; Ecology and Environmental Sciences; Economic development; Economic growth; Epidemiology; Generalized linear models; Health aspects; Health sciences; Health surveys; Hemoglobin; Households; Impact analysis; Iron; Low income groups; Medical schools; Medicine; Medicine and Health Sciences; Methods; Multilevel; Pregnancy; Public health; Quantiles; Regression analysis; Regression models; Risk factors; Robustness (mathematics); Sampling techniques; Socioeconomics; Statistical analysis; Statistical models; Toilet facilities; Women; Womens health; Young women; Africa; Zambia; Mozambique; Ethiopia; Rwanda
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0238957

Anemia in women of reproductive age is a major public health challenge for low- and middle-income countries with a long-term negative impact on the health of women, their children, and the economic growth of the society. Even though the world health organization targeted a 50% global reduction of anemia among women of reproductive age by 2025, with the current trend it is unlikely to achieve this goal. This study aimed to assess the prevalence and associated factors of anemia among women of reproductive age in eastern Africa. A secondary data analysis, using demographic and health survey (DHS) data of 10 eastern African countries, was conducted. For our study, a total weighted sample of 101524 women of reproductive age was used. We employed a multilevel mixed-effects generalized linear model (using Poisson regression with robust error variance). Both unadjusted and adjusted prevalence ratios with their 95% confidence interval were reported. The prevalence of anemia in eastern Africa was 34.85 (95%CI: 34.56-35.14) ranging from 19.23% in Rwanda to 53.98% in Mozambique. In the multivariable multilevel analysis, being older age, having primary and above education, being from households with second to highest wealth quantiles, being currently working, not perceiving distance as a big problem, use of modern contraceptive methods, and rural residence was associated with a lower prevalence of anemia. While, being married and divorced/separated/widowed, women from female-headed households, women from households with unimproved toilet facility and unimproved water source, ever had of a terminated pregnancy, having high parity, and being from large household size was associated with a higher prevalence of anemia. The prevalence of anemia in eastern Africa was relatively high. Both individual level and community level factors were associated with the prevalence of anemia in women of reproductive age. Therefore, giving special attention to those women who are at a higher prevalence of anemia such as younger women, those who are from households with low socioeconomic status, unimproved toilet facility, and source of drinking water, as well as pregnant women could decrease anemia in women of reproductive age.