Determinants of Anemia among women in Uganda: further analysis of the Uganda demographic and health surveys

Nankinga, Olivia; Aguta, Danstan

doi:10.1186/s12889-019-8114-1

Cited by 61 publications

(76 citation statements)

References 25 publications

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“…In addition, obtaining education may help women adopt appropriate lifestyle patterns such as better health-seeking habits as well as hygiene practices that can prevent women from getting anemia. Consistent with other studies conducted in different settings [20,21,29,30,36,60], in this study, being from second to highest household wealth quantiles were associated with lower prevalence of anemia as compared with women from households with lowest quantile. This could be due to improved socioeconomic status is associated with healthy nutrition, lower infection/morbidity, and increased access and utilization of medical health services [59,61,62].…”

Section: Discussionsupporting

confidence: 92%

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

Teshale¹,

Tesema²,

Worku³

et al. 2020

PLoS ONE

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Background 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. Objective This study aimed to assess the prevalence and associated factors of anemia among women of reproductive age in eastern Africa. Methods 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. Results 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

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Section: Discussionsupporting

confidence: 92%

“…Even though anemia affects all countries, it mostly affects LMICs especially Asian and Sub-Saharan African countries which accounts for 89% of the anemia burden [19]. In eastern Africa, the prevalence of anemia in women of reproductive age is higher, which ranges from 19.2% in Rwanda to 49% in Zambia [20][21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

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

Teshale¹,

Tesema²,

Worku³

et al. 2020

PLoS ONE

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“…Anemia is the most prevalent disease in Africa and Asia affecting the males, females and children of all ages and having detrimental effects on their health. Frequency of anemia in our study is 56.8%, Faseeh 7 observed 66.8%, Olivia reported 32% in Uganda 9 and World Health Organization described that anemia affects 35% of Africal population. 4 Indian State-level Disease Burden Initiative Malnutrition Collaborator described that 54.5% of females were between 15-49 years of age.…”

Section: Discussionsupporting

confidence: 46%

“…3 Olivia stated that poor household is indicator of poverty and the poverty leads to more prevalence of anemia. 9 Bekele concluded that pregnant females with low income were four times more likely to develop anemia than high income group. 3 We observed that majority of females (81.95%) never practiced or infrequently practiced contraception.…”

Section: Discussionmentioning

confidence: 99%

Frequency of anemia and causative risk factors in patients presenting to tertiary care hospital: A cross sectional study.

Qadir¹,

Sultana²,

Ashraf³

et al. 2020

TPMJ

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Objective: To determine the frequency of anemia and its causative risk factors in patients attending the gynecology outpatient department of Nishtar Medical University and Hospital. Study Design: Cross sectional study. Setting: Gynecology Outpatient Department attendees of Nishtar Medical University and Hospital. Period: 1st September to 31st December 2019. Material & Methods: Total 361 females between 19-49 years of age were enrolled and included those patients who consented to be tested for blood hemoglobin estimation. Their brief history was taken after proper consent according to predesigned proforma to rule out the risk factors. Patients with chronic kidney disease, chronic lung diseases and liver diseases were excluded. Blood test was done by obtaining the blood sample by finger prick method. Hemoglobin analysis was performed by portable Hemocueanalyser. Frequency of anemia, severity of anemia and their stratification was performed against the risk factors like age, educational status, socioeconomic status, status of pregnancy, parity and contraception were obtained to rule the causative factors. Anemia was defined per standard criteria as hemoglobin less than 11gm/dl. Results: Majority of patients 65% were between 19-35 years of age and 34% were 36-49years of age. Frequency of pregnant patients and non-pregnant patients was 63.4% and 36.6%. Frequency of anemia was 56.8%, mean hemoglobin 10.48±1.18 with mild, moderate and severe anemia were 36.8%, 17.2% and 2.8%. Majority of females 82.9%, never went to school and had primary education, 71.70% belong to very poor and poor socioeconomic status, 79.02% were multipara and 81.95% never and infrequently practiced the contraceptive methods. Conclusion: Frequency of anemia is very high in females presenting to tertiary care hospital being more common in younger age group. Frequent pregnancies, poor socioeconomic status and low level of educational attainment were the major determinants of anemia in females.

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“…is finding was similar to reports in developing countries like Ethiopia, Uganda, and South Asia. [27][28][29]. is might be due to the fact that having a low income would mean having less money to buy iron-containing nutritious foods or have a balanced diet.…”

Section: Discussionmentioning

confidence: 99%

Determinants of Anemia in Pregnancy: Findings from the Ethiopian Health and Demographic Survey

Woldegebriel

Gebrehiwot

Desta

et al. 2020

Anemia

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In Ethiopia, anemia during pregnancy is a major public health problem and affects both the mother’s and their child’s health. There is a scarcity of community-based evidence on determinants of anemia among pregnant women in the country. Therefore, this study aimed to assess the determinants of anemia among pregnant women in Ethiopia. Method. This study was based on the 2016 Ethiopian Demographic Health Survey (EDHS) that used a two-stage stratified cluster sampling technique. A cross-sectional study was conducted among 3080 pregnant women. Data analysis was done using STATA v.14. Variables with P value <0.05 in the bivariate analysis were candidates for the multivariable analysis to identify independent determinants of anemia among pregnant mothers. Odds ratios (OR) were calculated at 95% confidence interval (CI). Results. The overall prevalence of anemia among pregnant women was 41% of which 20% were moderately anemic, 18%, mildly anemic, and 3%, severely anemic. The following were significantly associated with anemia during pregnancy: an age of 30–39 years, receiving no education (AOR = 2.19; 95% CI 1.45, 2.49), belonging to the poorest wealth quintile (AOR = 1.29; 95% CI 1.22, 1.60), being a Muslim (AOR = 1.59; 95% CI 1.69, 2.65), number of house members being 4–6 (AOR = 1.44; 95% CI 1.05, 1.97), number of under-five children being two (AOR = 1.47; 95% CI 1.10, 1.97), head of the household being a female (AOR = 2.02; 95% CI 1.61, 2.54), current pregnancy wanted later (AOR = 1.75; 95% CI 1.23, 1.63), no terminated pregnancy (AOR = 1.49; 95% CI 1.15, 1.93), and an age of 13–17 years at the first sexual intercourse (AOR = 1.97; 95% CI 1.291, 3.00). Conclusions. The study revealed that more than one-third of the pregnant women in Ethiopia were found anemic. Its prevalence varied among regions in which the highest (62.7%) and the lowest (11.9%) were from Somali and Addis Ababa, respectively. Hence, efforts should be made by concerned bodies to intervene in terms of the identified risk factors.

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Determinants of Anemia among women in Uganda: further analysis of the Uganda demographic and health surveys

Cited by 61 publications

References 25 publications

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

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

Frequency of anemia and causative risk factors in patients presenting to tertiary care hospital: A cross sectional study.

Determinants of Anemia in Pregnancy: Findings from the Ethiopian Health and Demographic Survey

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