Assessment of Prevalence and Risk Factors for Anemia Among Pregnant Mothers Attending Anc Clinic at Adama Hospital Medical Collage, Adama, Ethiopia, 2017 (original) (raw)

Assessment of the Prevalence of Anemia and Its Associated Risk Factors among Pregnant Women in Chiro Referral Hospital, West Hararghe Zone: Ethiopia

SSRG international journal of medical science, 2019

Background: Anemia is a significant public health problem in developing countries, particularly in pregnant women. It refers to a condition in which the hemoglobin content of the blood is lower than normal. In developing countries, the cause of anemia during pregnancy is multi-factorial and includes nutritional deficiencies. It is associated with an increased risk of maternal and prenatal morbidity and mortality. In order to design an intervention for prevention of anemia in pregnancy, determination of its magnitude and identifying associated risk factors for anemia are paramount importance. Objectives: To determine the magnitude and factors associated with anemia during pregnancy among mothers attending antenatal care at Chiro Referral Hospital antenatal care clinic from September 2017 to January 2019. Methods: Cross sectional study design was used .The study participants were selected using systematic sampling technique from their sequence of antenatal care visit in the period of study, and associated risk factors data were collected using structured questionnaire by trained antenatal care service providers. Level of haemoglobin was determined. Descriptive and analytical statistics were computed using SPSS version 20. Chi-square-the analytical statistics was used to identify predictor variables associated with the dependent variable-anemia. Result: The overall prevalence of anemia in this study population was 57.1%. Two hundred twenty two cases (57.2%) showed mild type of anemia followed by moderate anemia 156 (40.2%) and the remaining 10 (2.6%) were having severe anemia. Iron supplementation [p-value <2.2e-16], trimester[ pvalue 0.002], abortion p-value 0.053], birth interval[ p-value0.008], history of any illness [p-value 9.991e-09], contraception[ p-value 3.654e-07], presence of pica [p-value <2.2e-16], food aversion [p-value <2.2e-16], residence[ p-value 0.04], fruit vegetable consumption[ p-value 4.518e-13] and meat/poultry consumption [p-value 3.068e-08] had statistically significant association with anemia in pregnant women. Parity and bleeding during index pregnancy were not significantly associated with anemia. Conclusion: The prevalence of anemia was found to be 57.1%. Iron supplementation during pregnancy and presence of pica were significantly associated with anemia in the study population. Therefore, long term and short term strategies helpful in alleviating these predisposing factors need to be developed so as to reduce the number of mothers affected by anemia.

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

Frontiers in Public Health, 2022

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.

Prevalence of Anemia and Its Associated Factors among Pregnant Women Attending Antenatal Care in Health Institutions of Arba Minch Town, Gamo Gofa Zone, Ethiopia: A Cross-Sectional Study

Anemia, 2016

Background. Anemia during pregnancy is a major cause of morbidity and mortality of pregnant women in developing countries and has both maternal and fetal consequences. Despite its known serious effect on health, there is very little research based evidence on this vital public health problem in Gamo Gofa zone in general and in Arba Minch town of Southern Ethiopia in particular. Therefore, this study aims to assess the prevalence and factors associated with anemia among pregnant women attending antenatal care in health institutions of Arba Minch town, Gamo Gofa zone, Southern Ethiopia. Method. Institution-based, cross-sectional study was conducted from February 16 to April 8, 2015, among 332 pregnant women who attended antenatal care at government health institutions of Arba Minch town. Interviewer-administered questionnaire supplemented by laboratory tests was used to obtain the data. Bivariate and multivariate logistic regressions were used to identify predictors of anemia. Result. The prevalence of anemia among antenatal care attendant pregnant women of Arba Minch town was 32.8%. Low average monthly income of the family (AOR = 4.0; 95% CI: 5.62-11.01), having birth interval less than two years (AOR = 3.1; 95% CI: 6.01, 10.23), iron supplementation (AOR = 2.31; 95% CI: 7.21, 9.31), and family size >2 (AOR = 2.8; 95% CI: 1.17, 6.81) were found to be independent predictors of anemia in pregnancy. Conclusion. Anemia is found to be a moderate public health problem in the study area. Low average monthly income, birth interval less than two years, iron supplementation, and large family size were found to be risk factors for anemia in pregnancy. Awareness creation towards birth spacing, nutritional counselling on consumption of iron-rich foods, and iron supplementation are recommended to prevent anemia among pregnant women with special emphasis on those having low income and large family size.

Prevalence of Anemia and Associated Factors among Pregnant Women in North Western Zone of Tigray, Northern Ethiopia: A Cross-Sectional Study

Background. Anemia affects the lives of more than 2 billion people globally, accounting for over 30% of the world's population. Anemia is a global public health problem occurring at all stages of the life cycle but the burden of the problem is higher in pregnant women particularly in developing countries. The aim of this study was to determine the prevalence of anemia and associated factors among pregnant women attending antenatal clinics in north western zone of Tigray, northern Ethiopia. Methods. A facility based cross-sectional study was employed. A systematic random sampling procedure was employed to select 714 pregnant women who were attending antenatal clinics in health facilities found in the study area from April to May 2014. The data was entered and analyzed using Epi-info version 3.5.1 and SPSS version 20.0 statistical software, respectively. Logistic regression analysis was used to identify factors associated with anemia among the study participants. All tests were two-sided and p value < 0.05 was considered statistically significant. Results. The overall prevalence of anemia (hemoglobin < 11 g/dL) among the pregnant women was 36.1% (95% CI = 32.7%-39.7%) of which 58.5% were mildly, 35.7% moderately, and 5.8% severely anemic. In pregnant women, rural residence (AOR = 1.75, 95% CI = 1.01-3.04), no education/being illiterate (AOR = 1.56, 95% CI = 1.03-2.37), absence of iron supplementation during pregnancy (AOR = 2.76, 95% CI = 1.92-5.37), and meal frequency of less than two times per day (AOR = 2.28, 95% CI = 1.06-4.91) were the independent predictors for increased anemia among the pregnant women. Conclusions. Anemia was found to be moderate public health problem in the study area. Residence, educational status, iron supplementation during pregnancy, and meal frequency per day were statistically associated with anemia among the pregnant women. Awareness creation and nutrition education on the importance of taking iron supplementation and nutritional counseling on consumption of extra meal and iron-rich foods during pregnancy are recommended to prevent anemia in the pregnant women.

Prevalence of Anemia among Pregnant Women Attending Antenatal Care at Tikur Anbessa Specialized Hospital, Addis Ababa Ethiopia

Journal of Hematology & Thromboembolic Diseases, 2013

Background: Anemia impairs cognitive development, reduces physical work capacity and in severe cases increases risk of mortality particularly during prenatal period. There are no previous studies done on anemia in pregnancy in the study area. Objective: To assess the prevalence and determinant factors of anemia among pregnant women attending antenatal care follow up at Tikur Anbessa specialized hospital. Methods: Health institutional based cross-sectional study design was conducted from November 23, 2013-March8, 2013 among 395 pregnant mothers who had been attending antenatal care. Blood sample was taken to determine the hemoglobin concentration and haematocrit value. Interviewer administered structured questionnaire was used to assess different socio-demographic characteristics, obstetrics and dietary factors related to anaemia. Simple random sampling technique was used to select study subjects. Data were entered with EPI info version 3.5.1 Cleaning and analysis was done using SPSS version 17 and statistical tests were performed at the level of significance of 5%. Result: The overall prevalence of anemia in this study using a cut off level of hemoglobin <11 g/dl (<33% haematocrit) was 21.3% (84/395). Out of 84 anemic pregnant mothers, 80.95% (68/84) were mildly anemic, 17.86% (15/84) were moderately anemic and 1.19% (1/84) were severely anemic. The following variables were significantly associated with anemia: Age (39-45 yrs (AOR=1.21)), education status (illiterate (AOR=2.12)), family size (greater than four (AOR=2.04), gestational age (third trimester (AOR=2.04)), birth intervals (less than two years (AOR=1.21)), history of blood loss (AOR=1.67)), antenatal care (no ANC (AOR=1.11)), contraception (no contraception (AOR=2.31)), gravidity (multigravid (AOR=1.22)), parity (multiparous (AOR=2.19)). Conclusion: The present study showed high prevalence of anemia and the majority of them were of the mild type

Prevalence of Anemia and Associated Factors among Pregnant Women in Ethiopia

Food Science and Nutrition Research, 2018

Background: Anemia is a global public health problem that has adverse pregnancy outcomes such as increased rates of maternal and prenatal mortality, premature delivery, low birth weight, fetal physical growth, mental impairment and infant deaths. Despite the wider scope of the problem, little research data has been explored on the prevalence and associated factors of anemia during antenatal care in the study area. Methods: Institutional based cross-sectional survey study design was conducted from April to July 2018 among 409 pregnant mothers attending antenatal clinic. Hemoglobin (Hgb) was measured using the Sahli-Hellinge method of Hgb determination and Hgb adjustment was done to altitude. Data were collected using a standardized and structured questionnaire; consecutive sampling technique was employed to select pregnant women who had visited FelegeHiwot Referral hospital and administered via a face to face interview. Data were entered in SPSS and descriptive statistics and logistics regression analyzed. Results: The overall prevalence of anemia in this study is 20.8 % with 13.9% classified as mild, 5.13% moderate and 1.95% severe anemia. Undernutrition as seen in mid upper arm circumference (MUAC) being less than 23cm (AOR=10.58; 95%CI; 5.79-19.3)) and food consumption score being poor (AOR=2.63; 95%CI; 1.29-5.35) and borderline category (AOR= 2.76; 95%CI; 1.44-5.32), are factors independently associated with anemia. Conclusion: The study shows that anemia is a moderate public health problem in the study area. Moving forward, health care providers should carefully monitor the nutritional status of pregnant mothers and work on creating awareness through strengthening health education on nutritional counseling during ANC follow up as part of efforts to reduce the prevalence of anemia among pregnant mothers.

Risk factors of anemia among pregnant women attending antenatal care in health facilities of Eastern Zone of Tigray, Ethiopia, case-control study, 2017/18

Pan African Medical Journal, 2019

Introduction: worldwide the average prevalence of anemia among pregnant women is 38.2% and in Ethiopia, the average prevalence of anemia among pregnant women is 22%. The aim of this research was to identify risk factors of anemia among pregnant women in Eastern Zone of Tigray, Ethiopia. Methods: a case-control study was conducted among 600 (150 cases and 450 controls) pregnant women in 2017/18. Pregnant women with a hemoglobin level below 11 g/dl were cases (anemic) and those with hemoglobin >11 g/dl were controls (non-anemic). Data were collected using structured questionnaire and SPSS version 20 was used for analysis. Bivariate and multivariate logistic regression model was used to identify the risk factors for anemia among pregnant women. P-value <0.05 and adjusted odds ratio with a 95% confidence interval were used to assess the association. Results: intestinal parasites (adjusted odds ratio (AOR)=3.4; 95% confidence interval (CI): 1.2, 17.9), farmer occupation (AOR=3, 95% CI: 1.4, 10.8), unprotected sources of drinking water (AOR=3; 95% CI: 1.7, 16.9), drinking coffee/tea with or immediately after meal daily (AOR=1.9; 95%CI: 1.04, 8.7) and diet diversity score (DDS) of less than 3 (AOR=3; 95% CI: 1.5, 5.5) were statistically significant for anemia among pregnant women. Conclusion: in this study, the risk factors for anemia among pregnant women were intestinal parasites, mother farmer occupation, unprotected source of drinking water, drinking coffee or tea with a meal or immediately after meal and low diet diversificati on score. Therefore, nutritional intervention should consider the above-identified risk factors.

Risk Factors for Anemia Among Pregnant Women Attending the Antenatal Care Unit in Selected Jigjiga Public Health Facilities, Somali Region, East Ethiopia 2019: Unmatched Case–Control Study

Journal of Multidisciplinary Healthcare, 2020

Background: Anemia is a significant public health concern in many developing countries, particularly during pregnancy, and it has adverse effects on mother and fetus/baby. Objective: To determine the factors associated with anemia among pregnant women attending antenatal care in Jigjiga public health facilities, Somali Region, East Ethiopia. Methods: An institution-based unmatched case-control study was conducted. The sample size was 228 pregnant women; comprising 114 presenting with anemia and 114 controls. Hemoglobin levels were measured using a portable heme analyzer. Socio-demographic, dietary, medical history, and nutrition-related data were collected using a structured questionnaire. Data were entered into Epidata 3.1 and exported to Statistical Package for the Social Sciences (SPSS) version 23.0 for cleaning and analyses. Bivariate and multivariate logistic regression was performed and statistical significance was considered at a level of p<0.05. Results: Three predictors of anemia among pregnant women were identified in this study. An inadequate intake of red meat (i.e. those who consumed red meat 1-2 times a month [AOR=7.245; 95% CI=(2.007-26.151)] or not at all [AOR=8.690; 95% CI=(1.795-42.072)]), and insufficient consumption of green vegetables (i.e. 1-2 times a week [AOR=2.970; 95% CI= (1.012-8.716)] or 1-2 times a month [AOR=8.057; 95% CI=(2.358-27.526)]) were associated with anemia. Also, having a mid-upper arm circumference (MUAC) of less than 23 cm was strongly associated [AOR=16.432; 95% CI= (5.240-51.526)] with anemia. Conclusion: This study revealed three key factors to be associated with anemia among pregnant women in Jigjiga Town, namely reduced intake of red meat and green vegetables, and low MUAC. Interventions including nutrition counselling and enrolling pregnant women with low nutritional status in nutritional programs should be the core components of anemia control strategies, needed to address the high prevalence of anemia during pregnancy in developing countries.

Magnitude and factors associated with anemia among pregnant women attending antenatal care in public health centers in central zone of Tigray region, northern Ethiopia: a cross sectional study

BMC Pregnancy and Childbirth, 2018

Introduction: Anemia is defined as a low blood hemoglobin concentration (< 11 mg/dl). It is a global public health problem especially in pregnant women and is associated with higher risk for both maternal and perinatal mortality and morbidity. In developing countries, like Ethiopia where anemia is common, determining the magnitude and identifying factors that are associated with anemia is necessary to control it. Methods: Facility based cross sectional study design were conducted among 638 pregnant women attending antenatal care in public health centers in central zone of Tigray region, Northern Ethiopia from November 1/2017 to January 30/2018 using stratified multi stage sampling method. The data was collected through interviewing the pregnant women face to face after getting informed consent using structured and pre-tested questionnaire. The data was coded and entered in to Epi-info 7 then exported to Stata 14 for cleaning and further analysis. Both Bivariable and multi variable logistic regression model was used in the data analysis. Results: The overall magnitude of anemia (hemoglobin level < 11 mg/dl) were found that 16.88% (95% CI: 13.95%, 19.8%). Factors which were significantly associated with anemia in the multivariable analysis were: history of malaria attack 1 year prior to study period (AOR = 4.73, 95% CI: 2.64, 8.46), women who had history of excessive menstrual bleeding (AOR = 3.94, 95% CI: 2.11, 7.35), unplanned pregnancy (AOR = 2.5, 95% CI: 1.4, 4.42) and three times or less meal frequency (AOR = 1.89, 95% CI: 1.02, 3.5). Conclusion: The magnitude of anemia among pregnant were found that 16.88%. Malaria attack, excessive menstrual bleeding, pregnancy planning and meal frequency were found that significantly associated with anemia in the multivariable analysis. Pregnant women are recommended to increase meal frequency. Health providers should give attention to pregnant women who had history of malaria attack, excessive menstrual bleeding and women whose pregnancy were not planned.

Anaemia in pregnancy: a cross sectional study

International Journal of Community Medicine and Public Health, 2021

Background: Aim of the study was to find the factors leading to anemia in pregnancy. The main objective was to study the various sociodemographic factors leading to anemia and to assess the knowledge about anemia among pregnant females. Methods: The present cross sectional study was carried out at urban health centre, to determine the factors leading to anemia in pregnancy. A total of 100 pregnant females were registered. Demographic data was collected by interview method. A pretested and pre designed questionnaire was used for data collection. Hb was estimated using Sahli's hemoglobinometer and females having haemoglobin less than 11 mg/dl were considered anaemic. Data analysis was done using SPSS software. Results: The overall mean haemoglobin (Hb) was 9.58+2.2g/dl. It was seen that diet, family size, education, social class, gravida and parity are associated with anaemia in pregnancy. Conclusions: After adjusting for all the possible covariates there seems to be significant association between Hb levels and age group, education level, family size, diet, gravida and parity.