# Determinants of Anemia among Pregnant Women at Public Hospitals in West Shewa, Central Ethiopia: A Case-Control Study

Authors: Berhanu Senbeta Deriba; Elias Teferi Bala; Gizachew Abdissa Bulto; Tinsae Abeya Geleta; Agumas Fentahun Ayalew; Addis Adera Gebru; Habtamu Oljira Desta; Mengistu Benayew Shiferaew; Lidya Zerihun Sahile
Journal: Anemia
 (2020)

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## Abstract

Introduction. Anemia is highly dominant among pregnant women due to the need for iron for women themselves and their fetuses. Nearly half a billion globally and around one-third in Ethiopia of pregnant women were affected by anemia which has both health and economic impact. Therefore, this study aimed to identify the determinants of anemia among pregnant women attending antenatal care at public hospitals in the West Shewa zone, Oromia regional state, Central Ethiopia, 2019. Methods. An unmatched case-control study was conducted at public hospitals in the West Shewa zone, Ethiopia, from February to April 2019. A consecutive sampling was used to select study participants. Data were collected by a structured questionnaire, and the collected data were entered into Epi Info version 7 and SPSS version 23 for analyses. Descriptive statistics such as tables, graphs, and proportions were used to present the data. Binary and multiple logistic regression analyses were computed to identify the determinants of anemia. Adjusted odds ratio (AOR) with 95% confidence interval (CI) and p value <0.05 were used to determine the presence of an association. Result. A total of 426 women (142 cases and 284 controls) participated in this study with a 95.3% response rate. Family size >5 (AOR = 2.95, 95% CI: 1.34–6.50), peptic ulcer diseases (PUD) (AOR = 2.85, 95% CI: 1.14–7.13), having the previous history of abortion (AOR = 2.84, 95% CI: 1.08–7.47), birth interval <2 years (AOR = 2.61, 95% CI: 1.20–5.70), antepartum hemorrhage (APH) (AOR = 6.05, 95% CI: 1.95–18.81), and not using latrine (AOR = 3.45, 95% CI: 1.30–9.24) were the identified determinants of anemia. Conclusions. Family size, PUD, abortion, birth interval, APH, and unable to use latrine were the determinants of anemia among pregnant women. Therefore, the intervention on anemia prevention should consider the promotion of family planning methods and counseling on latrine utilization.


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## Body

## 1. Introduction

World Health Organization (WHO) explained anemia in pregnancy as a hemoglobin level below 11 gm/dl [1]. A type of anemia that most commonly affects women of childbearing age especially pregnant mothers is iron deficiency anemia [2]. Anemia is highly dominant among pregnant women due to the need for iron for women themselves and for their fetuses [1]. Globally, nearly half a billion of reproductive-age women are affected by anemia where about 29% of nonpregnant women and 38% of pregnant women aged 15–49 years [3]. In Ethiopia, around 32% of pregnant women are affected by anemia [4]. Anemia in pregnancy causes reduced cognitive and motor development outcomes in children due to inherited hemoglobin diseases [5]. It also contributed to 8.8% of disabilities globally [6]. Anemia causes 20% of maternal death globally [7, 8]. Anemia in pregnancy may result in premature birth, low birth weight, and maternal, perinatal, and neonatal mortality [9]. The reason why anemia remains a public health problem is mainly due to inadequate nutrient intake, excessive menstrual bleeding, acute or chronic blood loss (gastrointestinal bleeding), infections (malaria and HIV), chronic diseases, parasites infestation, hemolytic anemia (drugs), and frequent pregnancies [10–12]. Different factors are known to cause anemia in pregnancy in sub-Saharan Africa. These include diet deficiency and infections such as malaria, hookworms, and increasingly spread human immunodeficiency virus. Most of these circumstances can be prevented by creating awareness and affordable interventions [13]. WHO intended to decrease anemia among reproductive-age women including pregnant women by 50% up to 2025 [14]. The Ethiopian Ministry of Health tried to mitigate the problem of anemia and its impact through the implementation of essential nutrition action [15]. Despite the high magnitude of anemia among pregnant women which results in high morbidity and mortalities among pregnant women and high economic losses in Ethiopia, the majority of the previously conducted studies in different parts of the word including Ethiopia were done using a cross-sectional study which is weak in displaying real association between anemia and its risk factors [10, 16–24]. The availability of local information on the determinants of anemia is important to solve the problem of anemia at its grass roots. Most of the previous cross-sectional studies conducted in Ethiopia recommended analytic study like case-control studies to be conducted [10, 16, 22, 25, 26]. Moreover, personal hygiene and sanitation-related predictors of anemia like source of water for drinking, hand washing at important times, and utilization of latrine were not studied with regard to anemia in pregnancy in Ethiopia. Although open-field defecation is very common in Ethiopia, its relationship with anemia was not studied. Therefore, this study aimed to identify determinants of anemia among pregnant women attending antenatal care at public hospitals of the West Shewa zone, Oromia regional state, Central Ethiopia.


## 2. Method and Materials

### 2.1. Study Design, Period, and Setting

We have conducted an institution-based unmatched case-control study from February to April 2019 in all public hospitals available in the West Shewa zone. The capital city of the zone is Ambo which is 114 kilometers far from the capital city of the country, Addis Ababa. The West Shewa zone has a total population of 2,650,781 from which 91,982 were pregnant women according to West Shewa zonal health office report of January 2019 [27]. The zone has 90 health centers, three general hospitals, four district hospitals, and one referral hospital. The study was conducted in eight public hospitals that give ANC, delivery, and postnatal care services.


### 2.2. Source Population and Study Population

All pregnant women (15–49 years old) that came for the first antenatal care follow-up at public hospitals in the West Shewa zone during the data collection period were the source populations whereas all pregnant women (15–49 years old) who came for the first antenatal care follow-up at public hospitals in the West Shewa zone during the data collection period and included in the study were the study populations. All pregnant women attending the first visit of their antenatal care at public hospitals in the West Shewa zone and voluntary to participate were included in study. Pregnant women on therapy of severe anemia and unable to respond were excluded from the study. Those with hemoglobin level <11 g/dl were considered as cases whereas those with hemoglobin level greater than or equal to 11 g/dl were considered as controls according to the WHO definition for the diagnosis of anemia in pregnancy [1]. The reason why the first visit of ANC was selected was that because those who were on repeated follow-ups were likely to take iron and folic acid supplementations during their previous visit the risk of being anemic is reduced.


### 2.3. Sample Size Determination

The sample size was calculated by using two population proportion formula, and it was calculated through Epi Info 7 statistical software package with the assumption of confidence level 95% (Zα/2 = 1.96), power 80% (Zβ = 0.84), and case-control ratio 1:2, where p1 is the proportion of cases, exposed and p2 is the proportion of controls exposed. The variable first trimester of pregnancy was considered as a determinant of anemia as identified by a study conducted in Dessie town, Ethiopia, where p1=42.1%, p2=18.8%, and AOR = 2.07 [26]. Therefore, the final sample size was 149 cases and 298 controls with a total of 447 pregnant women after adding a 15% nonresponse rate.


### 2.4. Sampling Technique

The study was conducted in all (eight) hospitals present in the West Shewa zone. The numbers of study participants were allocated proportionally to the average number of pregnant women who could attend the first visit of the ANC during the data collection period, which was estimated from average numbers of previous months’ (previous quarter) antenatal care users which was taken from ANC registration books of each hospital. Therefore, the sample of each hospital was calculated by multiplying the average number of pregnant women attending the first antenatal care in each hospital per month with a total sample size (n = 447), dividing by the total number of pregnant women attending antenatal care unit per month at all hospitals (2187) (Figure 1). Consecutive sampling was used to select study participants (after collecting data from one case, data were also collected from two consecutive controls at each public hospital).Figure 1
Schematic representation of pregnant women attending ANC in public hospitals of West Shewa zone from February to April 2019.


### 2.5. Operational Definitions

Anemia in pregnancy was defined by hemoglobin level adjusted at sea level altitude based on WHO criteria. So, anemia in pregnancy was defined as when the hemoglobin level is <11 gm/dl [1]. According to WHO definition for the diagnosis of anemia in pregnancy, pregnant women with hemoglobin level <11 g/dl were considered as cases (anemic), whereas those with hemoglobin level ≥11 g/dl were considered as controls (nonanemic) [1].Gastritis/PUD is characterized by epigastric pain, epigastric tenderness, hematemesis, and positive forH. pylori test and ulcer identified by the endoscope. A respondent who had at least one of the health problems mentioned above was considered to have gastritis or PUD [28].


### 2.6. Data Collection Tool and Procedure

Data were collected through face-to-face interviews by standardized structured questionnaires; the majority of which were adapted and modified from the previous studies [29]. Eight BSC midwives and two senior experienced midwife professionals were selected for data collection and supervision, respectively. Information related to sociodemographic characteristics and pregnancy-related (obstetrics and gynecologic variables) factors of respondents was collected through face-to-face interview by using a pretested structured questionnaire which was done after laboratory test results were obtained because cases and controls cannot be identified before hemoglobin test results. Necessary history and physical examination with laboratory investigations were taken and done for all respondents who permitted their consent to identify diseases and pregnancy-related characteristics of mothers.


### 2.7. Specimen Collection and Processing

Eight trained laboratory technologists conducted specimen collection and processing at eight hospitals. Four senior experienced and trained laboratory technologists supervised every step of specimen collection, processing, and analysis. The blood for hemoglobin concentration, HIV (was done after counseling), and malaria diagnosis was done based on the standard operating procedures (SOPs). A venous blood sample 10 ml was taken from study participants, by using a HemoCue Hb 301 analyzer (manufactured by HemoCue AB) a precalibrated instrument was designed for measurement of hemoglobin concentration and labeled with identification number. The venous blood was drawn through micro cuvettes and inserted into HemoCue Hb analyzer and the result was recorded. To examine blood for malaria, HIV serostatus, and syphilis tests, the blood of pregnant women that was collected for hemoglobin test was used.Stool specimen container was given to every pregnant woman with toilet tissue paper and clean applicator stick after questionnaire administration to bring fresh stool specimen. Information was to the pregnant woman on how to collect enough amount and contamination-free specimen. Woman was requested to bring the stool sample quickly to process and examine within two hours. The laboratory technologists checked whether sufficient amount of stool specimen was collected or not, when receiving the specimen. A portion of stool was processed with direct microscopic technique to detect intestinal parasites immediately. The sample was examined microscopically first with 10x and then with 40x objective for the detection of helminthes, eggs, and cysts of protozoan parasites. Stool examination was done by using formal ether concentration technique, which is considered the most sensitive for most intestinal helminthes. The same method was carried out across all (eight) hospitals.


### 2.8. Data Quality Control and Management

Two days of training were given for data collectors and supervisors on the objective of the study, contents of the questionnaire, confidentiality, the right of respondents, and how to collect data. The questionnaire was pretested on 5% (7 cases and 14 controls) of the sample to assess the reliability of the data collection instruments at Tulu Bolo Hospital. After the pretest, the investigators, data collectors, and supervisors discussed the questionnaire so that the tool was modified for any inconsistencies and ambiguity before actual data collection. The laboratory procedure quality was guaranteed by giving training for laboratory technologists through a standard operating procedure (SOP) and regular monitoring of reagents, expiry date, and proper storage. The collected data were checked by supervisors and data collectors for consistency and completeness every day at the end of each data collection day and necessary corrective measures were taken from the area where difficulty was identified.


### 2.9. Data Processing and Analysis

After data collection, data were checked for completeness and coded, cleaned, and entered into Epi Info version 7 and transported to SPSS version 23 for data cleaning and analysis. After cleaning data for inconsistencies and missing values, descriptive statistics such as tables, graphs, and proportions were used to present data. Bivariate and multivariate logistic regression analyses were carried out to determine the presence of an association between dependent and independent variables. Variables with ap value less than 0.25 at 95% CI in the bivariate logistic regression were entered into a multivariate logistic regression [30]. Multiple logistic regressions were carried out to identify the determinants of anemia among pregnant women. The model goodness-of-fit test was checked by Hosmer–Lemeshow goodness of fit, and the p value of the model fitness test was 0.87. Multicollinearity and confounding effect were checked by using standard error which was not inflated, and no collinearity exists between the independent variables. Then all candidate variables were entered into a multivariate model since no collinearity was found between them. Finally, AOR with 95% CI and p value <0.05 were considered as statistically significant.


### 2.10. Ethical Consideration

The study protocol and methodology were approved by Ambo University College of Medicine and health sciences ethical review committee with reference number MHSC-PG: 003/2019. The permission to conduct study was obtained from the West Shewa zone health office and from all hospitals. Written consent was obtained from study participants after explaining the objective and purpose of the study to all study participants who were above 18 years old, and written assent was obtained from their parents or guardians where the study participants were pregnant women under 18 years of age. Those mothers who were found to have anemia, PUD, STI, hypertension, diabetes, malnutrition, and parasites were treated and linked to appropriate units in the hospitals for follow-up immediately after diagnosis.


## 2.1. Study Design, Period, and Setting

We have conducted an institution-based unmatched case-control study from February to April 2019 in all public hospitals available in the West Shewa zone. The capital city of the zone is Ambo which is 114 kilometers far from the capital city of the country, Addis Ababa. The West Shewa zone has a total population of 2,650,781 from which 91,982 were pregnant women according to West Shewa zonal health office report of January 2019 [27]. The zone has 90 health centers, three general hospitals, four district hospitals, and one referral hospital. The study was conducted in eight public hospitals that give ANC, delivery, and postnatal care services.


## 2.2. Source Population and Study Population

All pregnant women (15–49 years old) that came for the first antenatal care follow-up at public hospitals in the West Shewa zone during the data collection period were the source populations whereas all pregnant women (15–49 years old) who came for the first antenatal care follow-up at public hospitals in the West Shewa zone during the data collection period and included in the study were the study populations. All pregnant women attending the first visit of their antenatal care at public hospitals in the West Shewa zone and voluntary to participate were included in study. Pregnant women on therapy of severe anemia and unable to respond were excluded from the study. Those with hemoglobin level <11 g/dl were considered as cases whereas those with hemoglobin level greater than or equal to 11 g/dl were considered as controls according to the WHO definition for the diagnosis of anemia in pregnancy [1]. The reason why the first visit of ANC was selected was that because those who were on repeated follow-ups were likely to take iron and folic acid supplementations during their previous visit the risk of being anemic is reduced.


## 2.3. Sample Size Determination

The sample size was calculated by using two population proportion formula, and it was calculated through Epi Info 7 statistical software package with the assumption of confidence level 95% (Zα/2 = 1.96), power 80% (Zβ = 0.84), and case-control ratio 1:2, where p1 is the proportion of cases, exposed and p2 is the proportion of controls exposed. The variable first trimester of pregnancy was considered as a determinant of anemia as identified by a study conducted in Dessie town, Ethiopia, where p1=42.1%, p2=18.8%, and AOR = 2.07 [26]. Therefore, the final sample size was 149 cases and 298 controls with a total of 447 pregnant women after adding a 15% nonresponse rate.


## 2.4. Sampling Technique

The study was conducted in all (eight) hospitals present in the West Shewa zone. The numbers of study participants were allocated proportionally to the average number of pregnant women who could attend the first visit of the ANC during the data collection period, which was estimated from average numbers of previous months’ (previous quarter) antenatal care users which was taken from ANC registration books of each hospital. Therefore, the sample of each hospital was calculated by multiplying the average number of pregnant women attending the first antenatal care in each hospital per month with a total sample size (n = 447), dividing by the total number of pregnant women attending antenatal care unit per month at all hospitals (2187) (Figure 1). Consecutive sampling was used to select study participants (after collecting data from one case, data were also collected from two consecutive controls at each public hospital).Figure 1
Schematic representation of pregnant women attending ANC in public hospitals of West Shewa zone from February to April 2019.


## 2.5. Operational Definitions

Anemia in pregnancy was defined by hemoglobin level adjusted at sea level altitude based on WHO criteria. So, anemia in pregnancy was defined as when the hemoglobin level is <11 gm/dl [1]. According to WHO definition for the diagnosis of anemia in pregnancy, pregnant women with hemoglobin level <11 g/dl were considered as cases (anemic), whereas those with hemoglobin level ≥11 g/dl were considered as controls (nonanemic) [1].Gastritis/PUD is characterized by epigastric pain, epigastric tenderness, hematemesis, and positive forH. pylori test and ulcer identified by the endoscope. A respondent who had at least one of the health problems mentioned above was considered to have gastritis or PUD [28].


## 2.6. Data Collection Tool and Procedure

Data were collected through face-to-face interviews by standardized structured questionnaires; the majority of which were adapted and modified from the previous studies [29]. Eight BSC midwives and two senior experienced midwife professionals were selected for data collection and supervision, respectively. Information related to sociodemographic characteristics and pregnancy-related (obstetrics and gynecologic variables) factors of respondents was collected through face-to-face interview by using a pretested structured questionnaire which was done after laboratory test results were obtained because cases and controls cannot be identified before hemoglobin test results. Necessary history and physical examination with laboratory investigations were taken and done for all respondents who permitted their consent to identify diseases and pregnancy-related characteristics of mothers.


## 2.7. Specimen Collection and Processing

Eight trained laboratory technologists conducted specimen collection and processing at eight hospitals. Four senior experienced and trained laboratory technologists supervised every step of specimen collection, processing, and analysis. The blood for hemoglobin concentration, HIV (was done after counseling), and malaria diagnosis was done based on the standard operating procedures (SOPs). A venous blood sample 10 ml was taken from study participants, by using a HemoCue Hb 301 analyzer (manufactured by HemoCue AB) a precalibrated instrument was designed for measurement of hemoglobin concentration and labeled with identification number. The venous blood was drawn through micro cuvettes and inserted into HemoCue Hb analyzer and the result was recorded. To examine blood for malaria, HIV serostatus, and syphilis tests, the blood of pregnant women that was collected for hemoglobin test was used.Stool specimen container was given to every pregnant woman with toilet tissue paper and clean applicator stick after questionnaire administration to bring fresh stool specimen. Information was to the pregnant woman on how to collect enough amount and contamination-free specimen. Woman was requested to bring the stool sample quickly to process and examine within two hours. The laboratory technologists checked whether sufficient amount of stool specimen was collected or not, when receiving the specimen. A portion of stool was processed with direct microscopic technique to detect intestinal parasites immediately. The sample was examined microscopically first with 10x and then with 40x objective for the detection of helminthes, eggs, and cysts of protozoan parasites. Stool examination was done by using formal ether concentration technique, which is considered the most sensitive for most intestinal helminthes. The same method was carried out across all (eight) hospitals.


## 2.8. Data Quality Control and Management

Two days of training were given for data collectors and supervisors on the objective of the study, contents of the questionnaire, confidentiality, the right of respondents, and how to collect data. The questionnaire was pretested on 5% (7 cases and 14 controls) of the sample to assess the reliability of the data collection instruments at Tulu Bolo Hospital. After the pretest, the investigators, data collectors, and supervisors discussed the questionnaire so that the tool was modified for any inconsistencies and ambiguity before actual data collection. The laboratory procedure quality was guaranteed by giving training for laboratory technologists through a standard operating procedure (SOP) and regular monitoring of reagents, expiry date, and proper storage. The collected data were checked by supervisors and data collectors for consistency and completeness every day at the end of each data collection day and necessary corrective measures were taken from the area where difficulty was identified.


## 2.9. Data Processing and Analysis

After data collection, data were checked for completeness and coded, cleaned, and entered into Epi Info version 7 and transported to SPSS version 23 for data cleaning and analysis. After cleaning data for inconsistencies and missing values, descriptive statistics such as tables, graphs, and proportions were used to present data. Bivariate and multivariate logistic regression analyses were carried out to determine the presence of an association between dependent and independent variables. Variables with ap value less than 0.25 at 95% CI in the bivariate logistic regression were entered into a multivariate logistic regression [30]. Multiple logistic regressions were carried out to identify the determinants of anemia among pregnant women. The model goodness-of-fit test was checked by Hosmer–Lemeshow goodness of fit, and the p value of the model fitness test was 0.87. Multicollinearity and confounding effect were checked by using standard error which was not inflated, and no collinearity exists between the independent variables. Then all candidate variables were entered into a multivariate model since no collinearity was found between them. Finally, AOR with 95% CI and p value <0.05 were considered as statistically significant.


## 2.10. Ethical Consideration

The study protocol and methodology were approved by Ambo University College of Medicine and health sciences ethical review committee with reference number MHSC-PG: 003/2019. The permission to conduct study was obtained from the West Shewa zone health office and from all hospitals. Written consent was obtained from study participants after explaining the objective and purpose of the study to all study participants who were above 18 years old, and written assent was obtained from their parents or guardians where the study participants were pregnant women under 18 years of age. Those mothers who were found to have anemia, PUD, STI, hypertension, diabetes, malnutrition, and parasites were treated and linked to appropriate units in the hospitals for follow-up immediately after diagnosis.


## 3. Result

### 3.1. Sociodemography-Related Characteristics of Study Participants

A total of 426 pregnant women (142 cases and 284 controls) participated in this study making a response rate of 95.3%. The age of respondents ranged from 17 to 39 years with the mean age of 26.11 ± 4.05 for cases and 27.57 ± 5.27 years for controls. Sixty (42.3%) of cases and 57 (20.9%) of the controls had a family size greater than five. Concerning educational status, 40 (28.2%) of cases and 39 (13.7%) of controls had no formal education and in 110 (77.5%) of cases and 252 (88.7%) of controls husbands had formal education (Table1).Table 1
Sociodemographic characteristics of pregnant women attending antenatal follow-up-care in public hospitals of the West Shewa zone, from February to April 2019.
VariablesCases:n = 142 (%)Controls:n = 284 (%)Age groups15–197 (4.9)12 (4.2)20–2430 (21.1)91 (32)25–2968 (47.9)140 (49.3)30–3418 (12.7)34 (12)≥3519 (13.4)7 (2.5)Family size in number≤582 (57.7)227 (79.1)>560 (42.3)57 (20.9)The educational level of motherHave no formal education40 (28.2)39 (13.7)Have a formal education102 (71.8)245 (86.3)Marital statusMarried135 (95.1)272 (95.8)Othersa7 (4.9)12 (4.2)The educational level of husbandHave no formal education32 (22.5)32 (11.3)Have a formal education110 (77.5)252 (88.7)Occupation of motherEmployed20 (14.1)65 (22.9)Unemployed122 (85.9)219 (77.1)Occupation of husbandEmployed16 (11.3)82 (28.9)Unemployed126 (88.7)202 (71.1)Family income≤149958 (40.8)29 (10.2)1500–249921 (14.8)29 (10.2)2500–349920 (14.1)42 (14.8)≥350043 (30.3)184 (64.8)a = single, widowed, and divorced.


### 3.2. Obstetrics and Gynecology-Related Characteristics of Study Participants

From those who had a previous history of pregnancy, 40 (28.2%) of cases and 22 (7.7%) of control also had a previous history of abortion. From those who had a history of childbirth, more than half 53 (56.4%) of cases and 43 (28.3%) of controls had a birth interval of less than or equal to two years. From ANC attendees, 63 (44.4%) of cases and 24 (8.5%) of controls had vaginal bleeding (Table2).Table 2
Obstetrics and gynecology-related characteristics of pregnant women attending ANC in public hospitals of the West Shewa zone, from February to April 2019.
VariablesCases:n = 142 (%)Controls:n = 284 (%)Regularity of menstrual cycleRegular116 (81.7)256 (90.1)Irregular26 (18.3)28 (9.9)Duration of menstrual flow3–5 days83 (58.5)250 (88)6–8 days59 (41.5)34 (12)Previous history of abortionYes40 (28.2)22 (7.7)No102 (78.8)262 (93.3)Number of abortionsOne22 (55)20 (90.9)2 and above18 (45)2 (9.1)Used family planning before pregnancyYes62 (43.7)134 (47.2)No80 (56.3)150 (52.8)Parity1–458 (62.4)144 (94.1)≥536 (37.6)9 (5.9)ANC follow-up for previous pregnancyYes52 (52.7)131 (84.5)No47 (47.3)24 (15.5)Place of delivery for the previous childHome41 (43.6)30 (19.7)Health facility53 (56.4)122 (80.3)Mode of delivery for previous childSpontaneous vaginal delivery85 (90.4)124 (81.6)Instrumental4 (4.3)13 (8.5)Caesarean section5 (5.3)15 (9.9)Gravidity1–4101 (71.1)267 (94)≥541 (28.9)17 (6)Types of current pregnancyWanted and planned87 (61.3)236 (83.1)Wanted but not planned28 (19.7)30 (10.6)Neither wanted nor planned27 (19)18 (6.3)The birth interval between current and previous birth<2 years53 (56.4)43 (28.3)≥2 years41 (43)109 (71.7)Vaginal bleeding (antepartum hemorrhage)Yes63 (44.4)24 (8.5)No79 (55.6)260 (91.5)


### 3.3. Disease-Related Characteristics of Study Participants

Nearly a quarter, 37 (27.5%) of cases and 35 (12.3%) of controls, were using different medications during current pregnancy for different reasons. More than one-third, 49 (34.5%) of cases and 45 (15.8%) of controls, had gastritis with peptic ulcers. Forty-six (30.3%) of cases and 33 (11.6%) of controls were affected by intestinal parasites (Figure2).Figure 2
Percentage of disease-related characteristics of pregnant women attending ANC in public hospitals of West Shewa zone from February to April 2019.


### 3.4. Hygiene and Sanitation-Related Characteristics of Study Participants

More than half, 91 (64.1%), of cases and about one-fourth, 215 (75.7%), of controls had tape water for drinking. Around two-thirds, 93 (65.5%), of cases and the majority, 261 (91.9%), of controls had latrine in their compound. Nearly one-third, 67 (72%), of cases and the majority, 235 (90%), of controls always use the latrine (Table3).Table 3
Hygiene and sanitation-related characteristics of pregnant women attending ANC care at public hospitals of West Shewa zone from February to April 2019.
VariablesCases:n = 142 (%)Controls:n = 284 (%)Source of drinking waterTap water91 (64.1)215 (75.7)River water20 (14.1)28 (9.9)Protected spring15 (10.6)28 (9.9)Others∗16 (11.3)13 (4.6)Presence of latrineYes93 (65.5)261 (91.9)No49 (34.5)23 (8.11)Continuous utilization of latrineYes67 (72)235 (90)No26 (28)26 (10)Hand washing timeBefore meal134 (94.4)274 (96.50)After meal132 (93)279 (98.2)After using the toilet48 (34)225 (79.2)Before preparing food62 (43.7)215 (75.7)After cleaning the bottom of children20 (14.1)108 (38)After touching the bare body of another person8 (5.6)52 (18.3)∗ = protected well, unprotected well, and unprotected spring.


### 3.5. Determinants of Anemia in Pregnancy

Bivariate logistic regression was done for each independent variable. Multivariate analysis was done for those variables with ap value <0.25 in the bivariate logistic regression after adjusting for covariates. Fitness of the model was also assessed. The result of multiple logistic regressions showed that pregnant mothers who had more than five family members had 2.95-fold higher odds of getting anemia than the odds of pregnant women who had ≤5 family members (AOR = 2.95, 95% CI: 1.34–6.50). This study also showed that pregnant women who had birth intervals ≤2 years had 2.61 times higher odds of getting anemia compared to those who had birth interval >2 years (AOR = 2.61, 95% CI: 1.20–5.70). The result of this study signifies that the odds of getting anemia in pregnant women were higher among women who had gastritis (peptic ulcer disease) compared to their counterparts (AOR = 2.85, 95% CI: 1.14–7.13). According to this study, pregnant mothers who had the previous history of abortion had 2.84-fold higher odds of developing anemia than the odds of mothers who had no previous history of abortion (AOR = 2.84, 95% CI: 1.08–7.47). Pregnant women who had vaginal bleeding (APH) during their current pregnancies had sixfold higher odds of developing anemia compared to their counterparts (AOR = 6.05, 95% CI: 1.95–18.81). Similarly, the current study found that pregnant women who did not utilize latrine had 3.45-fold higher odds of getting anemia compared to the odds of those who utilize latrine (AOR = 3.45, 95% CI: 1.30–9.24) (Table 4).Table 4
Determinants of anemia among pregnant women attending antenatal care follow-up in public hospitals of the West Shewa zone, from February to April 2019 (multivariable analysis).
VariablesCases:n = 142 (%)Controls:n = 284 (%)COR (95% CI)AOR (95% CI)Family size≤582 (57.7)227 (79.1)11>560 (42.3)57 (20.9)3.1 (1.99, 4.80)3.81 (1.73, 8.39)∗∗Previous history of abortionYes40 (28.2)22 (7.7)4.67 (2.65, 8.24)2.84 (1.08–7.47)∗∗No102 (78.8)262 (93.3)11Birth interval≤2 years53 (56.4)43 (28.3)3.28 (1.91, 5.62)2.26 (1.16–4.40)∗∗>2 years41 (43)109 (71.7)11Vaginal bleeding during current pregnancyYes63 (44.4)24 (8.5)11No79 (55.6)260 (91.5)2.66 (1.48, 4.79)6.05 (1.95, 18.81)∗∗Presence of gastritis or PUDYes49 (34.5)45 (15.8)2.80 (1.75, 4.4)2.85 (1.14, 7.13)∗∗No93 (65.5)239 (84.2)11Continuous utilization of latrineYes67 (72)235 (90)11No26 (28)26 (10)3.51 (1.91, 6.44)3.45 (1.30–9.24)∗∗AOR = Adjusted Odds Ratio, COR = Crude Odds Ratio, CI = Confidence Interval.∗∗ = statistically significant at p value <0.05, and 1 = reference group.


## 3.1. Sociodemography-Related Characteristics of Study Participants

A total of 426 pregnant women (142 cases and 284 controls) participated in this study making a response rate of 95.3%. The age of respondents ranged from 17 to 39 years with the mean age of 26.11 ± 4.05 for cases and 27.57 ± 5.27 years for controls. Sixty (42.3%) of cases and 57 (20.9%) of the controls had a family size greater than five. Concerning educational status, 40 (28.2%) of cases and 39 (13.7%) of controls had no formal education and in 110 (77.5%) of cases and 252 (88.7%) of controls husbands had formal education (Table1).Table 1
Sociodemographic characteristics of pregnant women attending antenatal follow-up-care in public hospitals of the West Shewa zone, from February to April 2019.
VariablesCases:n = 142 (%)Controls:n = 284 (%)Age groups15–197 (4.9)12 (4.2)20–2430 (21.1)91 (32)25–2968 (47.9)140 (49.3)30–3418 (12.7)34 (12)≥3519 (13.4)7 (2.5)Family size in number≤582 (57.7)227 (79.1)>560 (42.3)57 (20.9)The educational level of motherHave no formal education40 (28.2)39 (13.7)Have a formal education102 (71.8)245 (86.3)Marital statusMarried135 (95.1)272 (95.8)Othersa7 (4.9)12 (4.2)The educational level of husbandHave no formal education32 (22.5)32 (11.3)Have a formal education110 (77.5)252 (88.7)Occupation of motherEmployed20 (14.1)65 (22.9)Unemployed122 (85.9)219 (77.1)Occupation of husbandEmployed16 (11.3)82 (28.9)Unemployed126 (88.7)202 (71.1)Family income≤149958 (40.8)29 (10.2)1500–249921 (14.8)29 (10.2)2500–349920 (14.1)42 (14.8)≥350043 (30.3)184 (64.8)a = single, widowed, and divorced.


## 3.2. Obstetrics and Gynecology-Related Characteristics of Study Participants

From those who had a previous history of pregnancy, 40 (28.2%) of cases and 22 (7.7%) of control also had a previous history of abortion. From those who had a history of childbirth, more than half 53 (56.4%) of cases and 43 (28.3%) of controls had a birth interval of less than or equal to two years. From ANC attendees, 63 (44.4%) of cases and 24 (8.5%) of controls had vaginal bleeding (Table2).Table 2
Obstetrics and gynecology-related characteristics of pregnant women attending ANC in public hospitals of the West Shewa zone, from February to April 2019.
VariablesCases:n = 142 (%)Controls:n = 284 (%)Regularity of menstrual cycleRegular116 (81.7)256 (90.1)Irregular26 (18.3)28 (9.9)Duration of menstrual flow3–5 days83 (58.5)250 (88)6–8 days59 (41.5)34 (12)Previous history of abortionYes40 (28.2)22 (7.7)No102 (78.8)262 (93.3)Number of abortionsOne22 (55)20 (90.9)2 and above18 (45)2 (9.1)Used family planning before pregnancyYes62 (43.7)134 (47.2)No80 (56.3)150 (52.8)Parity1–458 (62.4)144 (94.1)≥536 (37.6)9 (5.9)ANC follow-up for previous pregnancyYes52 (52.7)131 (84.5)No47 (47.3)24 (15.5)Place of delivery for the previous childHome41 (43.6)30 (19.7)Health facility53 (56.4)122 (80.3)Mode of delivery for previous childSpontaneous vaginal delivery85 (90.4)124 (81.6)Instrumental4 (4.3)13 (8.5)Caesarean section5 (5.3)15 (9.9)Gravidity1–4101 (71.1)267 (94)≥541 (28.9)17 (6)Types of current pregnancyWanted and planned87 (61.3)236 (83.1)Wanted but not planned28 (19.7)30 (10.6)Neither wanted nor planned27 (19)18 (6.3)The birth interval between current and previous birth<2 years53 (56.4)43 (28.3)≥2 years41 (43)109 (71.7)Vaginal bleeding (antepartum hemorrhage)Yes63 (44.4)24 (8.5)No79 (55.6)260 (91.5)


## 3.3. Disease-Related Characteristics of Study Participants

Nearly a quarter, 37 (27.5%) of cases and 35 (12.3%) of controls, were using different medications during current pregnancy for different reasons. More than one-third, 49 (34.5%) of cases and 45 (15.8%) of controls, had gastritis with peptic ulcers. Forty-six (30.3%) of cases and 33 (11.6%) of controls were affected by intestinal parasites (Figure2).Figure 2
Percentage of disease-related characteristics of pregnant women attending ANC in public hospitals of West Shewa zone from February to April 2019.


## 3.4. Hygiene and Sanitation-Related Characteristics of Study Participants

More than half, 91 (64.1%), of cases and about one-fourth, 215 (75.7%), of controls had tape water for drinking. Around two-thirds, 93 (65.5%), of cases and the majority, 261 (91.9%), of controls had latrine in their compound. Nearly one-third, 67 (72%), of cases and the majority, 235 (90%), of controls always use the latrine (Table3).Table 3
Hygiene and sanitation-related characteristics of pregnant women attending ANC care at public hospitals of West Shewa zone from February to April 2019.
VariablesCases:n = 142 (%)Controls:n = 284 (%)Source of drinking waterTap water91 (64.1)215 (75.7)River water20 (14.1)28 (9.9)Protected spring15 (10.6)28 (9.9)Others∗16 (11.3)13 (4.6)Presence of latrineYes93 (65.5)261 (91.9)No49 (34.5)23 (8.11)Continuous utilization of latrineYes67 (72)235 (90)No26 (28)26 (10)Hand washing timeBefore meal134 (94.4)274 (96.50)After meal132 (93)279 (98.2)After using the toilet48 (34)225 (79.2)Before preparing food62 (43.7)215 (75.7)After cleaning the bottom of children20 (14.1)108 (38)After touching the bare body of another person8 (5.6)52 (18.3)∗ = protected well, unprotected well, and unprotected spring.


## 3.5. Determinants of Anemia in Pregnancy

Bivariate logistic regression was done for each independent variable. Multivariate analysis was done for those variables with ap value <0.25 in the bivariate logistic regression after adjusting for covariates. Fitness of the model was also assessed. The result of multiple logistic regressions showed that pregnant mothers who had more than five family members had 2.95-fold higher odds of getting anemia than the odds of pregnant women who had ≤5 family members (AOR = 2.95, 95% CI: 1.34–6.50). This study also showed that pregnant women who had birth intervals ≤2 years had 2.61 times higher odds of getting anemia compared to those who had birth interval >2 years (AOR = 2.61, 95% CI: 1.20–5.70). The result of this study signifies that the odds of getting anemia in pregnant women were higher among women who had gastritis (peptic ulcer disease) compared to their counterparts (AOR = 2.85, 95% CI: 1.14–7.13). According to this study, pregnant mothers who had the previous history of abortion had 2.84-fold higher odds of developing anemia than the odds of mothers who had no previous history of abortion (AOR = 2.84, 95% CI: 1.08–7.47). Pregnant women who had vaginal bleeding (APH) during their current pregnancies had sixfold higher odds of developing anemia compared to their counterparts (AOR = 6.05, 95% CI: 1.95–18.81). Similarly, the current study found that pregnant women who did not utilize latrine had 3.45-fold higher odds of getting anemia compared to the odds of those who utilize latrine (AOR = 3.45, 95% CI: 1.30–9.24) (Table 4).Table 4
Determinants of anemia among pregnant women attending antenatal care follow-up in public hospitals of the West Shewa zone, from February to April 2019 (multivariable analysis).
VariablesCases:n = 142 (%)Controls:n = 284 (%)COR (95% CI)AOR (95% CI)Family size≤582 (57.7)227 (79.1)11>560 (42.3)57 (20.9)3.1 (1.99, 4.80)3.81 (1.73, 8.39)∗∗Previous history of abortionYes40 (28.2)22 (7.7)4.67 (2.65, 8.24)2.84 (1.08–7.47)∗∗No102 (78.8)262 (93.3)11Birth interval≤2 years53 (56.4)43 (28.3)3.28 (1.91, 5.62)2.26 (1.16–4.40)∗∗>2 years41 (43)109 (71.7)11Vaginal bleeding during current pregnancyYes63 (44.4)24 (8.5)11No79 (55.6)260 (91.5)2.66 (1.48, 4.79)6.05 (1.95, 18.81)∗∗Presence of gastritis or PUDYes49 (34.5)45 (15.8)2.80 (1.75, 4.4)2.85 (1.14, 7.13)∗∗No93 (65.5)239 (84.2)11Continuous utilization of latrineYes67 (72)235 (90)11No26 (28)26 (10)3.51 (1.91, 6.44)3.45 (1.30–9.24)∗∗AOR = Adjusted Odds Ratio, COR = Crude Odds Ratio, CI = Confidence Interval.∗∗ = statistically significant at p value <0.05, and 1 = reference group.


## 4. Discussion

Anemia is one of the major public health problems globally. Its impact which includes rising the chance of maternal and child morbidity and mortality reduced cognitive and physical development in children and decreased work activity in adults is high in developing countries like Ethiopia [2]. Therefore, it is important to identify determinants that contribute to the development of anemia in pregnant women to successfully prevent it. Family size >5, PUD, previous history of abortion, birth interval ≤2 years, APH, and unable to use latrine were determinants of anemia among pregnant women in the current study.In this study, a family size was significantly associated with anemia. Pregnant women who had family size greater than five were at higher risk of developing anemia than those who had family size less than or equal to five. This finding is consistent with the study done in Gamo Gofa and West Arsi zones, Ethiopia, which indicated that family size greater than five was among the most significant risk factors for the development of anemia in pregnancy [31, 32]. This could be due to the sharing of resources among large families to meet different basic needs and results in food insecurity which in turn leads to anemia among pregnant mothers from large families’ sizes. Moreover, large family size is a proxy indicator of high parity and the short interpregnancy interval that in turn reduces maternal hemoglobin.The birth interval was another determinant that showed a significant association with anemia in pregnant women. Birth interval ≤2 years was positively associated with the occurrence of anemia in pregnancy. This finding is in agreement with a study conducted at Koppal, India, and other parts of Ethiopia [4, 31, 33–35] where birth interval less than or equal to 2 years was positively associated with the occurrence of anemia. This might be due to the depletion of iron because of frequent pregnancies and loss of blood during pregnancy, delivery, and a postpartum period where women who become pregnant in a short time before replenishing the lost blood are susceptible to anemia. Women who give birth more frequently can face stress and fear that in turn prevent them from eating adequate food which in turn leads to anemia [36].In the current study, having previous history of abortion was statistically significantly associated with the occurrence of anemia when compared to not having previous history of abortion. This finding is consistent with other studies from Bahir Dar town and South Ethiopia where previous history of abortion was positively associated with the occurrence of anemia [37, 38]. This could be due to excess blood loss before pregnancy causes depletion of iron which in turn leads to anemia [29]. Antepartum hemorrhage during the current pregnancy was one of the independent predictors of anemia among pregnant women. Pregnant women who had antepartum hemorrhage were at higher risk of being anemic than those who did not have antepartum hemorrhage during pregnancy. This finding is consistent with the study done in Bahir Dar town [38]. This might be due to the fact that antepartum hemorrhage causes depletion of iron which in turn causes anemia among pregnant women [39, 40].The presence of gastritis or PUD was statistically significantly associated with the occurrence of anemia among pregnant women during pregnancy. This finding is comparable with the study conducted in Hawassa and Yirgalem cities in which women who had gastritis were four times more likely to develop anemia than their counterparts [11]. This might be due to the fact that peptic ulcer disease causes upper gastrointestinal bleeding (blood loss) and loss of appetite that causes anemia [41].Unable to use latrine continuously was also found to play a major driving role in the incident of anemia among pregnant women. Unable to use latrine continuously during pregnancy was positively associated with the occurrence of anemia. This could be because if one does not use toilet, open-field defecation is common practice that leads to contamination of environment and water which causes the intestinal parasites which in turn causes anemia [42]. This is because intestinal parasite consumes a digested diet from the intestine which in turn leads to micronutrient deficiency, specifically iron, that causes anemia. Parasite diseases, especially hookworms, contribute to iron deficiency anemia [43]. As far as we know, our study is the first or unique to identify such a significant association between not using toilets and anemia among pregnant women in Ethiopia.


## 5. Limitation of the study

The study may be affected by recall bias because it was retrospective and may be susceptible to social desirability bias.


## 6. Conclusion

In this study, family size greater than five, birth interval less than or equal to two years, gastritis or peptic ulcer diseases, having the previous history of abortion, vaginal bleeding during pregnancy, and not using toilet were identified determinants of anemia among pregnant women. Therefore, intervention on anemia prevention should consider the promotion of family planning methods, counseling and awareness creation on the importance of latrine construction and continuous utilization, and early identification and treatment of PUD among pregnant mothers through media, at ANC follow-up and through community engagements. Finally, we recommend further community-based study with large sample size and more strong study design to determine other determinants of anemia among pregnant women to address those pregnant women unable to attend antenatal care at public hospitals.



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*Source: 2865734-2020-11-28.xml*