Magnitude and factors associated with anemia among pregnant women attending antenatal care in Bench Maji, Keffa and Sheka zones of public hospitals, Southwest, Ethiopia, 2018: A cross -sectional study

Determinants of Hemoglobin Among Pregnant Women at Agro-Pastoralist Communities in South Omo Zone, Ethiopia: Community Based Cross-Sectional Study, Nutrition Experience from Movable Community

Background

Low hemoglobin level is the most common public health problem during pregnancy in developing countries including Ethiopia, which is affecting both mother and fetus. However, the determinants of anemia among pregnant women are not well studied.

Objective

To assess the determinates of hemoglobin among pregnant women in rural agro-pastoralist communities in the South Omo zone, Ethiopia.

Method

Community-based cross-sectional study was done in rural agro-pastoralist communities. A multistage stratified sampling technique was used to select 526 pregnant women. Data were collected by using structured questionnaires. Hemoglobin level was measured by using HemoCue ® Hb301. Data were analyzed by using a statistical package for the social science version 26. Descriptive (Mean, standard deviation, frequency, range), bivariate and multivariate analysis was carried out to check the association between lower hemoglobin levels and independent variables. The output is presented in tables and figures.

Result

The mean (±SD) of hemoglobin concentration was 11.8 ± 1.7. The overall prevalence of anemia was 39.9% [95% CI: 35.5, 44.4], 19.4% (95% CI: 16.0, 23.2) was mild, 19.6% (95% CI: 16.27, 2.5) was moderate and 0.9% (95% CI: 0.25, 2.25) was severe anemia. Not taking IFA (AOR = 5.7(3.3, 9.8)), severe under nutrition (AOR = 8.9(2.1, 37.3)), no fish food (AOR = 2.4(1.3, 4.5)), drinking coffee (AOR = 1.6(1.0, 2.6)), moderate food insecurity (AOR = 2.5(1.4, 4.6)), and no malaria infection (AOR = 0.6(0.4, 0.9)) were statistically significant with anemia.

Conclusion

The anaemia is a public health problem in this study area. Therefore, nutrition education and counselling to enhance iron supplementation, dietary diversity and a flesh diets are very essential to enhance haemoglobin levels.

Predictor of anemia among pregnant women attending antenatal clinics at Hiwot Fana Comprehensive Specialized Hospital, Eastern Ethiopia: a case-control study

BACKGROUND

Anemia during pregnancy is a public health problem and is related to negative birth outcomes, especially in developing countries. The main aim of this study was to assess predictors of anemia among pregnant women attending antenatal clinics at Hiwot Fana Comprehensive Specialized University Hospital, Eastern Ethiopia.

METHODS

Unmatched case-control study design was employed among 352 individuals. A face-to-face interview was used to gather data, and each pregnant woman's antenatal care follow-up record cards were reviewed in addition to the interview. EpiData version 3.1 and IBM SPSS version 26 was used for data entry and analysis, respectively. Bivariable and multivariable analyses were conducted to identify predictors of anemia, a p-value of <0.05 was considered a statistically significant association.

RESULT

The common determinants for anemia in pregnant mothers were: rural residency (AOR = 2.25, 95% CI: 1.14-4.8), no formal education (AOR = 4.4, 95% CI: 1.94-9.9), inter-pregnancy interval (AOR = 2.7, 95% CI: 1.24-5.8), and mid-upper arm circumference (AOR = 5.0, 95% CI: 2.0-12.7).

CONCLUSION

In this study, the identified determinant factors for anemia were: rural residency, maternal educational status, inter-pregnancy-interval, and mid-upper arm circumference. Therefore, providing health education and promotion for pregnant women regarding anemia by focusing on rural residents and counseling to lengthen their birth spacing is an important task. Moreover, counseling on taking iron supplementation as suggested and consuming a diet rich in iron during antenatal care will be recommended.

Geographic inequalities and determinants of anaemia among preeclamptic women: a cross-sectional sample-based study in Bangladesh

BACKGROUND

Anaemia among preeclamptic (PE) women is a major undefined health issue in Bangladesh. This study explored the risk factors associated with anaemia and mapped the regional influences to understand the geographical inequalities.

METHODS

Data from 180 respondents were prospectively collected from the Preeclampsia ward of Dhaka Medical College Hospital (DMCH), Bangladesh. Anaemia was defined as a blood haemoglobin level less than 11.0 g/dl. Preeclampsia was defined as systolic blood pressure (SBP) ≥ 140 mmHg and diastolic blood pressure (DBP) ≥ 90 mmHg with proteinuria. Factors associated with anaemia were explored using the chi-square test. Logistic regression (LR) was done to determine the level of association with the risk factors.

RESULTS

Among the participants, 28.9% were identified as having early onset and 71.1% reported late onset of PE. 38.9% of the subjects were non-anaemic, whereas mild, moderate, and severe anaemia was found among 38.3%, 17.8%, and 5% of patients respectively. The following factors were identified; including age range 25-34 (OR: 0.169, p < 0.05), a lower education level (OR: 3.106, p < 0.05), service-holder mothers (OR: 0.604, p < 0.05), pregnancy interval of less than 24 months (OR: 4.646, p < 0.05), and gestational diabetes mellitus (OR: 2.702, p < 0.05). Dhaka district (IR: 1.46), Narayanganj district (IR: 1.11), and Munshiganj district (IR: 0.96) had the highest incidence rates.

CONCLUSION

Determinants of anaemia must be considered with importance. In the future, periodic follow-ups of anaemia should be scheduled with a health care program and prevent maternal fatality and fetus morbidity in patients with PE.

Assessing the prevalence and predictors of anemia among pregnant women in India: findings from the India National Family Health Survey 2019-2021

BACKGROUND

Anemia is more prevalent in low- and middle-income countries including India. Anemia in pregnancy is associated with increased risk of maternal health problems and adverse birth outcomes. This study estimates the prevalence and associated risk factors of anemia among pregnant women in India.

METHODS

This cross-sectional study is based on secondary data from the India National Family Health Survey-V (NFHS-5) conducted during 2019-2021. We extracted data of 27,317 currently pregnant women to estimate the prevalence and contributory factors associated with anemia using descriptive statistics and logistic regression analysis.

RESULTS

The prevalence of anemia among pregnant women in India was 52.2%. Anemia was higher among adolescent women (61.5%), those with no education (59.2%), those belonging to poorest wealth index (61.9%), scheduled tribes (59.3%), and those from the eastern region of India (62.1%). Further, it was more prevalent among women with a habit of smoking, tobacco, or alcohol (63.0%), and women with shorter birth intervals (59.7%). Among Indian states, anemia prevalence was higher in the state of Bihar (63.1%) and the union territory of Ladakh (71.4%). Logistic regression models show that women with no education (aOR = 1.41, 95% CI = 1.27-1.57), belonging to a poorest wealth quintile (aOR = 1.69, 95% CI = 1.51-1.90), and those with a habit of smoking, tobacco, or alcohol (aOR = 1.39, 95% CI = 1.18-1.63) were more anemic than their counterparts. Additionally, women with no education showed a four-times higher risk of severe anemia (aOR = 4.79, 95% CI = 2.75-8.36) than their highly educated counterparts.

CONCLUSION

Anemia affects half of all pregnant women in India. Anemia prevalence is higher among adolescents, illiterate, poor, and tribal communities. Social norm-based interventions and strengthening the community health facilitators should be implemented to reduce the high burden of anemia in India.

Nutritional factors for anemia in pregnancy: A systematic review with meta-analysis

Background

Anemia in pregnancy is a serious threat to maternal and child health and is a major public health problem. However, the risk factors associated with its incidence are unclear and controversial.

Methods

PubMed, Ovid Embase, Web of Science, and Cochrane databases were systematically searched (inception to June 27, 2022). The screening of search results, extraction of relevant data, and evaluation of study quality were performed independently by two reviewers.

Results

A total of 51 studies of high quality (NOS score ≥ 7) were included, including 42 cross-sectional studies, six case-control studies, and three cohort studies. Meta-analysis showed that infected parasite, history of malarial attack, tea/coffee after meals, meal frequency ≤ 2 times per day, frequency of eating meat ≤ 1 time per week, frequency of eating vegetables ≤ 3 times per week, multiple pregnancies, multiparous, low household income, no antenatal care, rural residence, diet diversity score ≤ 3, have more than 3 children, history of menorrhagia, underweight, family size ≥ 5, middle upper arm circumference < 23, second trimester, third trimester, birth interval ≤ 2 year were all risk factors for anemia in pregnancy.

Conclusions

Prevention of anemia in pregnancy is essential to promote maternal and child health. Sufficient attention should be paid to the above risk factors from the social level and pregnant women's own aspects to reduce the occurrence of anemia in pregnancy.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, identifier: CRD42022344937.

Predicting the level of anemia among Ethiopian pregnant women using homogeneous ensemble machine learning algorithm

BACKGROUND

More than 115,000 maternal deaths and 591,000 prenatal deaths occurred in the world per year with anemia, the reduction of red blood cells or hemoglobin in the blood. The world health organization divides anemia in pregnancy into mild anemia (Hb 10-10.9 g/dl), moderate anemia (Hb 7.0-9.9 g/dl), and severe anemia (Hb < 7 g/dl). This study aims to predict the level of anemia among pregnant women in the case of Ethiopia using homogeneous ensemble machine learning algorithms.

METHODS

This study was conducted following a design science approach. The data were gathered from the Ethiopian demographic health survey and preprocessed to get quality data that are suitable for the machine learning algorithm to develop a model that predicts the levels of anemia among pregnant. Decision tree, random forest, cat boost, and extreme gradient boosting with class decomposition (one versus one and one versus rest) and without class decomposition were employed to build the predictive model. For constructing the proposed model, twelve experiments were conducted with a total of 29,104 instances with 23 features, and a training and testing dataset split ratio of 80/20.

RESULTS

The overall accuracy of random forest, extreme gradient boosting, and cat boost without class decompositions is 91.34%, 94.26%, and 97.08.90%, respectively. The overall accuracy of random forest, extreme gradient boosting, and cat boost with one versus one is 94.4%, 95.21%, and 97.44%, respectively. The overall accuracy of random forest, extreme gradient boosting, and cat boost with one versus the rest are 94.4%, 94.54%, and 97.6%, respectively.

CONCLUSION

Finally, the researcher decided to use cat boost algorithms with one versus the rest for further use in the development of artifacts, model deployment, risk factor analysis, and generating rules because it has registered better performance with 97.6% accuracy. The most determinant risk factors of anemia among pregnant women were identified using feature importance. Some of them are the duration of the current pregnancy, age, source of drinking water, respondent's (pregnant women) occupation, number of household members, wealth index, husband/partner's education level, and birth history.

Prevalence and predictors of anemia among pregnant women in Ethiopia: Systematic review and meta-analysis

Background

In Ethiopia limited information is available regarding the prevalence and predictors of anemia in pregnancy. This systematic review and meta-analysis estimated the pooled prevalence of anemia among pregnant women in Ethiopia and also identified its predictors.

Materials and methods

The published primary studies were searched in the following electronic databases; PubMed/Medline, Google scholars, AJOL, and EMBASE. All primary studies published from 01/01/2010 to 30/05/2020 and written in English language were included without restriction on study setting and design. Critical appraisal of all available articles was done and extracted data was analyzed using STATA software version 14. The pooled prevalence of anemia was presented using a forest plot. The I2 statistical test for heterogeneity, and the Egger’s and Begg’s tests for publication bias were used. The relative risk was used to assess the association of predictor variables with anemia.

Result

After screening 274 articles, sixty studies were included in the analysis. The pooled prevalence of anemia among pregnant women was 26.4(95% CI: 23.1, 29.6). Sub-group analysis showed higher pooled prevalence from community-based studies than institutional-based studies. Factors that were protective against maternal anemia included urban residence, formal education and smaller family size. Short birth interval and not having antenatal care (ANC) are associated with a higher risk of maternal anemia. Women with low dietary diversity [RR: 2.61(95% CI, 1.85, 3.68)], mid-upper arm circumference (MUAC) less than 23 cm [RR: 2.35(95% CI, 1.53, 3.68)] and those not taking iron-folic acid [RR: 1.53(95% CI: 1.30, 1.81)] also had a higher risk of anemia.

Conclusion

Almost one in four pregnant women in Ethiopia had anemia. Being literate, living in urban areas with small family size and adequate birth spacing, as well as good dietary diversity are associated with a lower risk of anemia in pregnancy.

Registration number

(ID: CRD42020211054).

Magnitude of Anemia and Its Associated Factors Among Pregnant Women Attending Antenatal Care in Hiwot Fana Specialized University Hospital in Eastern Ethiopia

Background

Anemia is a significant public health issue, accounting for 20–40% of maternal deaths. Despite the government's commitment and the interventions of various stakeholders, the magnitude and major risk factors of anemia remain unabated. Though there are few documented studies on anemia among pregnant women in eastern Ethiopia in general, in the study area in particular, some of the variables such as helminthics and history of caesarian section in relation to anemia need to be studied. As a result, the purpose of this study was to determine the magnitude of anemia and associated factors among pregnant women attending antenatal care in University Hospital in eastern Ethiopia.

Methods

A facility-based cross-sectional study was conducted on a sample of 456 clients who were attending antenatal care in Hiwot Fana specialized university hospital from 01 to 30 June 2021. Systematic sampling was used to select the study participants. A pretested and structured interviewer-administered questionnaire and sample collection were used to collect the data. The data were coded, double-entered to Epi data version 3.1, cleaned, and exported to SPSS version 20 for analysis. Descriptive statistics were used to present frequency distributions. Variables with p-value < 0.25 during bivariate analysis were entered into the multivariate logistic regression models to control for all possible confounders to identify the factors associated with a magnitude of anemia. Odds ratio along with 95% CI were estimated to measure the strength of the association. The level of statistical significance was declared at a p-value of < 0.05.

Result

A total of 456 participants were interviewed, with a response rate of 96.9%. The magnitude of anemia among pregnant women was 112 [(25.3%) 95%CI: (21.5–29.2%)], of which, 27 (6.10%), 36 (8.13%), and 49 (11.08%) had mild, moderate, and severe anemia, respectively. Birth interval < 2 years [AOR: 3.24, (95% CI: (1.88, 4.32)], number of children ≥2 [AOR: 2.54, (95% CI: (1.12, 4.64)], monthly income < 1,000 birr [AOR: 2.89, (95% CI: (1.31, 5.58)], third trimester pregnancy [AOR: 2.89, (95% CI: 4.86, 12.62)], and abnormal menstrual history [AOR: 2.28, (95% CI: (1.69, 5.24)] were the factors significantly associated with anemia.

Conclusion

Anemia among pregnant women was relatively high compared to previous studies. Birth intervals, number of children, history of menstrual disorder, monthly income, and trimester of pregnancy were all significantly associated with anemia in pregnant women.

Effect of alcohol consumption on haemoglobin level among non-pregnant reproductive age women in Ethiopia: a cross-sectional secondary data analysis of the 2016 Ethiopian Demographic Health Survey

OBJECTIVE

The aim of this study was to assess the effect of alcohol consumption on haemoglobin levels among non-pregnant reproductive age women using national representative data.

METHOD

A secondary data analysis was conducted using data from the 2016 Ethiopia Demographic and Health Survey. The main outcome of interest was anaemia defined as a haemoglobin value <12 g/which was measured using HemoCue, and adjusted for both altitude and smoking status. The main exposure variable was alcohol consumption. Both multivariable logistic regression and generalised linear model were employed to assess the association between alcohol consumption and anaemia and to compare the mean of haemoglobin between the non-drinkers and three alcohol consumption frequency categories, respectively, after adjusting for the potential confounders.

RESULT

In the current analysis, a total of 13 436 non-pregnant women were included. The overall prevalence of anaemia among non-pregnant women was 23.2% of which 17.9% were mildly anaemic, 4.6% were moderately anaemic and 0.7% were severely anaemic. There was a significant negative association between anaemia and respondents' history and frequency of alcohol consumption in the pooled sample. Among non-pregnant women, the odds of having anaemia were decreased with a history of alcohol drinking (adjusted OR (AOR)=0.32 (95% CI: 0.214 to 0.394)). Women who drunk alcohol less than once a week ((AOR=0.54 (95% CI: 0.31 to 0.94), those who drunk alcohol at least once a week (AOR=0.50 (95% CI: 0.28 to 0.88)) and who drunk alcohol almost every day in the last 12 months (AOR=0.42 (95% CI: 0.21 to 0.81)) had significantly lower odds of having anaemia than women who had not ever taken a drink that contain alcohol.

CONCLUSION

This study showed that nearly a quarter of non-pregnant women in Ethiopia were found to be anaemic. Alcohol consumption increases haemoglobin concentration. Further cohort or experimental studies are therefore needed to further assess the relationship between alcohol consumption and haemoglobin level among Ethiopian populations.

Dietary Diversity and Its Contribution in the Etiology of Maternal Anemia in Conflict Hit Mount Cameroon Area: A Cross-Sectional Study

Background: In the Mount Cameroon area, maternal anemia remains a major public health concern. We hypothesized that nutrient inadequacy may account for the level of anemia in pregnancy. Thus, this study examined the relative effect of dietary diversity on maternal anemia in the study area.

Methods: A total of 1,014 consenting pregnant women were enrolled in this cross-sectional study. Information on socio-demographic, antenatal characteristics, malaria and anemia control measures were documented. Dietary diversity (DD) was evaluated using the 24-h recall method and hemoglobin (Hb) levels (g/dl) measured using a portable Hb meter. Malaria parasitaemia was diagnosed by blood microscopy. Anemia status was trimester specific. Logistic regression analysis was used determine predictors of maternal anemia.

Results: Among the pregnant women enrolled, the mean DD score was 3.5±0.8 SD and only 10.4% had adequate dietary diversity. Anemia prevalence was 40.9%. Majority of the women consumed starchy staples (99.3%) while least consumed foods were dairy (4.5%), eggs (8.3%), fruits and vegetable (vitamin A-rich) (8.6%). A significant lower prevalence of anemia was associated with intake of dairy (P < 0.001), animal protein (P = 0.006), vitamin A-rich fruits and vegetables (P < 0.001). Furthermore, mean Hb levels were higher (P < 0.001) among women with diverse diets (12.39 ± 1.34) than in those with less diverse diets (10.85 ± 1.33). Predictors of anemia were as follows: study setting [Odd Ratio (OR) = 1.4, 95% CI: 1.07-1.94], occupation (OR = 1.9, 95% CI: 1.16-3.43), number of clinic visits (OR = 1.9, 95% CI: 1.27-2.91), trimester of pregnancy (OR = 3.2, 95% CI: 1.45-7.38), malaria parasitaemia (OR = 1.8, 95% CI: 1.33-2.68), out of home eating (OR = 1.4, 95% CI: 1.03-2.13), and DD (OR = 9.8, 95% CI: 4.56-20.80). The attributable risk of anemia due to dietary diversity was 82.9%.

Conclusion: In the study area, DD is a major risk factor for maternal anemia. This finding underscores the importance of content specific nutrition education during clinic visits to improve intake of protein and iron-rich food in anemia prevention.

Anemia and Associated Factors Among Pregnant Women Attending Antenatal Care at Madda Walabu University Goba Referral Hospital, Bale Zone, Southeast Ethiopia

BACKGROUND

Globally, anemia is a public health problem, particularly in developing countries, including Ethiopia. Pregnant women are at a higher risk for anemia and anemic pregnant women often develop complications. Early diagnosis of pregnant women for anemia saves both the life of the newborn and hers. Therefore, the present study intended to assess anemia and its associated factors among pregnant women attending at Madda Walabu University Goba referral hospital.

METHODS

An institutional-based cross-sectional study was conducted from April 3 to May 3, 2019, among pregnant women attending Madda Walabu University Goba referral hospital. A total of 353 respondents were included in the study by using systematic random sampling techniques. Data were collected using both face-to-face interview and hemoglobin measurement. The collected data were entered into SPSS and analyzed using both bi-variable and multiple logistic regressions. Finally, statistical significance was declared at a p-value of less than 0.05 in the multiple logistic regressions.

RESULTS

In this study, the prevalence of anemia was 46.2% (95%CI: 40.9%, 51.5%). Factors significantly associated with anemia were positive stool examination for parasites (AOR=2.9, 95%CI 1.255-6.856), lower consumption of fruits and vegetables (AOR=2.7, 95%CI 1.47-4.86), no iron supplementation (AOR=2.2, 95%CI 1.07-4.45), large family size (AOR=2.1, 95%CI 1.13-3.77), and absence of abortion history (AOR=0.4, 95%CI 0.24-0.77).

CONCLUSIONS AND RECOMMENDATION

Prevalence of anemia among pregnant women was high. Pregnant women with a previous history of abortion, positive stool for parasite, lower consumption of fruits and vegetables, no iron supplementation and large family size above five were risk factors for anemia. Therefore, encouraging pregnant women to take iron supplementation and to eat fruits and vegetables are important.

Prevalence of anemia and its associated factors among pregnant women attending antenatal care follow up at Wollega University referral hospital, Western Ethiopia

Background

Even if anemia is a worldwide public health problem affecting numerous people in all age groups, particularly the burden of the problem is higher among pregnant women. Anemia is estimated to contribute to more than 115,000 maternal deaths and 591,000 prenatal deaths globally per year. Maternal mortality is the prime health indicator in any society. Therefore, determining the prevalence of anemia and assessing its associated factors among pregnant women might help for the intervention of the problem.

Objective

The objective of this study was to determine the prevalence of anemia and its associated factors among pregnant women attending Antenatal Care (ANC) at Wollega University Referral Hospital, Western Ethiopia.

Methods and materials

Institution based cross-sectional study was conducted at antenatal care (ANC) departments of Gynecology and Obstetrics, and MCH at Wollega University Referral Hospital from July 15–22, 2019. A systematic random sampling technique was used to select the study unit. The data were collected using questionnaires, physical examination, and laboratory investigation. After collection, the data were entered using Epi Data version 3.1 and analyzed using SPSS version 20 statistical software. Bivariate and multivariate logistic regression analysis was performed to identify predictors of anemia. Finally, the result was presented using text, tables, and charts.

Results

The overall prevalence of anemia using a cut off level of hemoglobin < 11 g/dl (< 33% Haematocrit) was 51 (17.8%). Out of all anemic pregnant women, 19 (37.25%) were mildly anemic, 24 (47%) were moderately anemic and 8 (15.68%) were severely anemic. Multivariable logistic regression analysis revealed that Birth interval of less than 2 years (AOR = 2.56 CI [2.84–4.52]), history of malarial attack in the past 12 months (AOR = 2.585 CI [1.181–5.656]) and engaging into daily laborer occupation (AOR = 8.33 CI [2.724–25.497]) showed significant association with maternal anemia.

Conclusions

The prevalence of anemia among pregnant women in this study is high. Having a birth interval of < 2 years, having a history of malarial attack in the past 12 months, and being engaged in daily laborer occupation were factors associated with anemia among pregnant women. Thus, contraceptive methods and information to space children, information, and services to prevent malaria and economically empowering women is needed to prevent anemia among pregnant women in the study area.