# Association betweenHelicobacter pylori Infection and Occurrence of Anemia among Pregnant Women Attending Antenatal Care in Kulito Health Center, Halaba Zone, South Ethiopia, 2018

Authors: Bahredin Abdella; Mohammed Ibrahim; Iyasu Tadesse; Kalkidan Hassen; Mekonnin Tesfa
Journal: Anemia
 (2020)

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## Abstract

Background. Anemia in pregnancy is defined as a hemoglobin (Hb) concentration of less than 11 grams (gm)/deciliter (dl) in venous blood. Globally, it affects 1.62 billion people. In developing countries, anemia is a major cause of maternal and child morbidity and mortality. Globally, anemia contributes to 20% of all maternal deaths. Nearly 50% of the world’s population is estimated to be infected with Helicobacter pylori (HP). High prevalence of HP among pregnant women was also reported in developing countries than developed ones. The association between HP infection and occurrence of anemia is not well known in Ethiopia. Therefore, the aim of this study was to determine the association between anemia and Helicobacter pylori infection among pregnant women attending antenatal care follow-up in Kulito Health Center, Halaba Zone, South Ethiopia. Methods. Institution-based cross-sectional study was employed. Systematic random sampling procedure was employed to select 236 pregnant women who attended antenatal care at Kulito Health Center. An interviewer-administered questionnaire supplemented by laboratory tests was used to obtain the data. The collected data were analyzed by using SPSS version 20.0. Results. The prevalence of anemia among antenatal care attendant pregnant women of Kulito Health Center was 27.5% with 36 (15.2%) of mild, 29 (12.3%) of moderate, and no severe cases of anemia. The overall prevalence of HP infection among study participants was found to be 129 (54.7%) (95% CI: 47.9–61.4). Factors significantly associated with anemia were presence of HP infection (AOR = 3.064, 95% CI: 1.336 7.027), low interpregnancy gap (AOR = 2.863, 95% CI: 1.245–6.582), being on the third trimester (AOR = 6.457; 95% CI: 1.276–32.729), and mid-upper arm circumference (MUAC) level <21 cm (AOR = 2.595, 95% CI: 1.044–6.450). Conclusion. This study revealed that anemia and HP infection were highly prevalent among pregnant women attending the antenatal follow-up clinic in Kulito Health Center. HP infection, low interpregnancy gap, being on the third trimester, and MUAC less than 21 cm were the independent factors associated with anemia. Recommendation. Pregnant women should be aware that anemia is a problem that can be prevented by early prevention and treatment of HP infection and undernutrition, using family planning to widen the interpregnancy gap. Further experimental studies are warranted to determine the cause and effect of the association between anemia and HP infection.


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## Body

## 1. Introduction

Anemia is a condition in which the number of RBCs or their oxygen capacity is insufficient to meet physiological needs [1]. Anemia in pregnancy is defined as a decreased Hb concentration less than 11 gm/dl in venous blood. During pregnancy, anemia is considered as severe when Hb concentration is less than 7.0 gm/dl, moderate when Hb falls between 7.0 and 9.9 gm/dl, and mild when Hb concentration is between 10.0 and 11 gm/dl [2].Anemia is one of the most common nutritional deficiency diseases observed globally and affects more than a quarter of the world’s population of which children below the age of five and pregnant women are highly vulnerable groups [3]. Half of all the cases of anemia can be attributed to iron deficiency (ID) [4]. Nearly half of all pregnant women have been affected by anemia globally. The burden of anemia in pregnant mothers living in developing countries is higher (55%) than the developed ones (19%) [5]. It is also a significant public health problem in Ethiopia [6].Despite iron supplementation for all pregnant mothers in our country, many cross-sectional studies conducted in different parts of Ethiopia showed the significant magnitude of anemia among pregnant women: 25.2%, in Aymba, northwest Ethiopia [7], 56.8% in Gode, western Ethiopia [8], 61.6% in Boditi, southern Ethiopia [9], 32.8% in Arba Minch, southern Ethiopia [2], 27.2% in Butajira, South Ethiopia [10], and 27.9% in Harerge, southeast Ethiopia [6].Globally, anemia contributes to 20% of maternal death [11]. Anemia in pregnancy is not only a risk factor of maternal mortality but is also harmful for the fetus due to increased risk of adverse birth outcomes such as intrauterine growth retardation, premature birth, and low birthweight (LBW) [3]. In developing countries, the risk factors of anemia during pregnancy are multifactorial. This includes nutritional deficiencies, parasitic infection, and sociodemographic and economic status of the mothers [4]. Another factor that is believed to contribute to the occurrence of anemia in pregnancy is a defect in gastric absorption and utilization of dietary or supplemental iron due to HP infection [12]. HP infection is the most common infection worldwide and is associated with simple dyspepsia, heartburn, and peptic ulcer diseases, most commonly leading to upper gastrointestinal bleeding and, ultimately, to the severe complication of gastric malignancy [13].Nearly 50% of the world’s population is estimated to be infected with HP [14]. High prevalence of HP among pregnant women was also reported in developing countries than developed ones [15]. Many studies conducted in different parts of the world showed the significant magnitude of HP infection: 33.3%, in Addis Ababa [16], 50.7% in Jinka [17], 52.4% in Butajira [18], 71% in Jijiga [19], 83.5% in Hawassa [20], and 54.2% in Iran [12]. High prevalence of HP infection has been observed among pregnant women, which was associated with increased risk of anemia [21]. It is hypothesized that HP associated with anemia is caused by both compromised absorption of bioavailable iron in the context of hypochlorhydria and the competing iron demands of HP and the host [22]. Bleeding through peptic ulcers and other gastric lesions due to bacterial irritation of the gastric mucosa also contribute to the occurrence of anemia [12].A systematic review and meta-analysis found higher prevalence of IDA in HP-infected subjects than uninfected ones [21]. The study conducted in Turkey in the general population showed that serum hemoglobin level was significantly reduced among individuals infected with HP relative to uninfected patients [23]. The cross-sectional prospective study conducted in Butajira showed the prevalence of anemia among HP-infected patients was 30.9% and while 22.5% among uninfected patients [18].The experimental study done in India found higher prevalence of IDA in HP-infected pregnant women than uninfected ones. Additionally, the study concluded that high prevalence of HP infection was seen in pregnant women suffering from IDA and eradication of the infection by triple drug therapy during the third trimester enhanced the response to oral iron and folic acid supplementation [24]. Another cross-sectional study conducted in Iran among 180 pregnant women showed a significant and adverse correlation between HP infection and hemoglobin level [12]. Even though many studies found the association of anemia and HP infection, a study done in Sudan failed to find the association between HP infection and anemia [25]. The study conducted among children in Butajira also showed the absence of significant difference in the prevalence of anemia among HP-infected and noninfected children [26]. The outcome of this study may help the stakeholders to take measures to reduce this public health issue and policy makers to consider HP infection as the risk factor for anemia.


## 2. Materials and Methods

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

Institution-based cross-sectional study was conducted in Kulito Health Center, Kulito town, from April to May 9, 2018. Kulito town is the capital of Halaba Zone which is found in SNNPR, Ethiopia. It is located about 245 km far from the capital city of Addis Ababa and 90 km away in the northwest direction from the capital of SNNPR, Hawassa.


### 2.2. Population and Eligibility Criteria

The study population was all pregnant women who have antenatal care follow-up at Kulito Health Center during the study period. The inclusion criteria were all pregnant women who were attending the antenatal care follow-up clinic in Kulito Health Center during the data collection period. Pregnant women who have active bleeding or history of bleeding during the current pregnancy, who have taken treatment for HP infection in the last two months, who are known to have chronic diseases (heart failure, renal failure, liver disease, diabetic, HIV AIDS, cancer, and bleeding disorder), and who are seriously ill were excluded from the study.


### 2.3. Sample Size Determination

The sample size was determined based on the single population proportion formula usingZ2 × p × q/d2 with a 95% confidence interval and 5% margin of error [27]. Sample size was calculated by using 27.6% anemia prevalence from nearby the study area [10]. Thus, the total sample size was 307, and by adding 10% of nonrespondent rate, it was 338. Since the total ANC followers in the study area were 860 which were less than 10,000, we used the correction formula to calculate the final sample size. Therefore, the final sample size for this study was 241. The systematic random sampling (lottery) method was used to select the first study participant, and a systematic random sampling method (k = N/n = 860/241 = 3.56 = 4) was used to select the rest. Thus, every second (k = 4), pregnant women who meet our inclusion criteria were selected.


### 2.4. Operational Definitions

Anemia in pregnancy: it is when the hemoglobin value for a pregnant woman is less than 11 gm/dl, irrespective of her gestational age [27]. Mild anemia: venous blood Hb concentration is 10–10.9 gm/dl [27]. Moderate anemia: venous blood Hb concentration is 7–9.9 gm/dl [27]. Severe anemia: venous blood Hb concentration is <7 gm/dl [27]. Public health importance of anemia: it is a mild public health problem when prevalence of anemia is <20%; a moderate public health problem when the prevalence of anemia is between 20 and 40%; and a severe public health problem when the prevalence of anemia is >40% [6]. Primary and above: the context of the primary and above educational level expresses the study participants who have attended formal education. Other health-related variables: variables like sociodemographic characteristics, nutritional status, IP infection, and obstetric history of the study participants. Interpregnancy gap: it is defined as the number of years between the previous live birth and conception of the current pregnancy. Low interpregnancy gap: the interpregnancy gap is less than 2 years.Mid-upper arm circumference (MUAC) is a measurement of the circumference of the upper arm at the midpoint between the olecranon and acromion processes. It is normal when MUAC level is ≥21 cm; undernutrition when MUAC level is <21 cm [28].


### 2.5. Data Collection Procedures

Data were collected by two midwives and two laboratory technicians and overseen by the supervisor. Data collectors have measured the MUAC level to the nearest 0.1 cm. A structured pretested interviewer-administered questionnaire was used to obtain sociodemographic information and present and past obstetric history in pregnant women [10, 15]. Data were collected through face-to face interview. The questionnaire was initially developed in English and translated into the working language (Amharic) and then retranslated back to English to maintain its consistency.


### 2.6. Specimen Collection and Processing

The specimen collection was carried out by two trained laboratory technicians. Each step of specimen collection, processing, and analysis was supervised by experienced and trained laboratory technologist supervisors. Blood for hematocrit/packed cell volume (PCV) measurement was done based on the Standard Operational Procedures (SOPs). Venous blood samples (4 ml from each participant) were collected by laboratory technicians in Vacutainer tubes (BD, USA) containing an anticoagulant (EDTA (ethylenediaminetetraacetic acid)). Hb was measured using BC-3000 plus Auto Hematology Analyzer (Mindray; Nansha, Shenzhen 518057, China). The golden standard method for detecting HP infection status isH. pylori stool antigen testing kit. However, due to lack of budget, we had used the H. pylori antibody test strip for testing of maternal HP infection status. H. pylori antibody test strip is a qualitative membrane-based immunoassay for the detection of HP antibodies in serum or plasma. In this test procedure, anti-human IgG was immobilized in the test line region of the test. One drop of whole blood and three drops of buffer were added on the appropriate space of the kit based on the SOPs. After the specimen and buffer were added, the specimen reacts with HP antigen-coated particles in the test. This mixture migrates chromatographically along the length of the test and interacts with immobilized anti-human IgG. If the specimen contains HP antibodies, a colored line will appear in the test line region indicated a positive result. If the specimen does not contain HP antibodies, a colored line will not appear in this region indicating a negative result. To serve as a procedural control, a colored line always appeared in the control line region, indicating that proper volume of the specimen has been added, and membrane wicking has occurred [20].Stool sample processing for direct stool examination (wet smear): a drop of normal saline was put on the cleaned microscope slides, and a small amount of the stool specimen was taken with a wooden stick and mixed with saline and was examined as soon as possible (within 30 minutes of passage), and on soft/formed stool within 60 minutes of passage, helminth ova was examined using the 10x objective, and cysts and trophozoites were examined using the 40x objective; this aids to detect certain protozoa trophozoites with their identification [16].


### 2.7. Data Quality Control

Before the actual data collection, the questionnaire was pretested on 12 pregnant women in Kulito primary hospital nearby the health center in order to estimate the time needed to collect data, and the questionnaires were modified accordingly. Training was given for data collectors before data collection regarding the purpose of the study, interview, and ethical issues during data collection. Data collectors were instructed to completely fill the questionnaire. The data were checked for completeness and consistency throughout the data collection period.


### 2.8. Data Analysis Procedures

Data were checked for completeness, coded, and entered into EPI-data version 3.1 (Odense, Denmark) and then transferred to SPSS version 20.0 (IBM, Armonk, NY, USA) for analysis. Frequencies, means, and percentage were used to give a clear picture of sociodemographic variables. Bivariate analysis was performed to select candidate variables atP value ≤ 0.25. The variables that have statistically significant associations with the outcome variable in the bivariate analysis were further considered as a candidate for the backward stepwise multiple logistic regression model to control the effect of confounding variables. Multivariate analysis was carried out to declare variables that are independently associated with anemia, and adjusted odds ratios (AORs) were used to indicate the strength of association between dependent and independent variables. Finally, those variables with P value < 0.05 in the final model were considered as statistically significant.


### 2.9. Ethical Consideration

Ethical clearance was obtained from the Institutional Review Board of Jimma University, with ethical approval reference number IHRPGD/242/2018, and letter of cooperation was obtained from the Halaba Zone Health Department and Kulito HC Administration prior to the kickoff of the study. The objectives, benefits, and risks of the study were explained to the participants, and verbal informed consent was obtained from each participant. Participant’s confidentiality was maintained, and anonymity was insured by using codes instead of names and any personal identifier of the participants. However, those with anemia, HP infections, and IP infection were referred to concerned health personnel for appropriate intervention.


## 2.1. Study Design, Area, and Period

Institution-based cross-sectional study was conducted in Kulito Health Center, Kulito town, from April to May 9, 2018. Kulito town is the capital of Halaba Zone which is found in SNNPR, Ethiopia. It is located about 245 km far from the capital city of Addis Ababa and 90 km away in the northwest direction from the capital of SNNPR, Hawassa.


## 2.2. Population and Eligibility Criteria

The study population was all pregnant women who have antenatal care follow-up at Kulito Health Center during the study period. The inclusion criteria were all pregnant women who were attending the antenatal care follow-up clinic in Kulito Health Center during the data collection period. Pregnant women who have active bleeding or history of bleeding during the current pregnancy, who have taken treatment for HP infection in the last two months, who are known to have chronic diseases (heart failure, renal failure, liver disease, diabetic, HIV AIDS, cancer, and bleeding disorder), and who are seriously ill were excluded from the study.


## 2.3. Sample Size Determination

The sample size was determined based on the single population proportion formula usingZ2 × p × q/d2 with a 95% confidence interval and 5% margin of error [27]. Sample size was calculated by using 27.6% anemia prevalence from nearby the study area [10]. Thus, the total sample size was 307, and by adding 10% of nonrespondent rate, it was 338. Since the total ANC followers in the study area were 860 which were less than 10,000, we used the correction formula to calculate the final sample size. Therefore, the final sample size for this study was 241. The systematic random sampling (lottery) method was used to select the first study participant, and a systematic random sampling method (k = N/n = 860/241 = 3.56 = 4) was used to select the rest. Thus, every second (k = 4), pregnant women who meet our inclusion criteria were selected.


## 2.4. Operational Definitions

Anemia in pregnancy: it is when the hemoglobin value for a pregnant woman is less than 11 gm/dl, irrespective of her gestational age [27]. Mild anemia: venous blood Hb concentration is 10–10.9 gm/dl [27]. Moderate anemia: venous blood Hb concentration is 7–9.9 gm/dl [27]. Severe anemia: venous blood Hb concentration is <7 gm/dl [27]. Public health importance of anemia: it is a mild public health problem when prevalence of anemia is <20%; a moderate public health problem when the prevalence of anemia is between 20 and 40%; and a severe public health problem when the prevalence of anemia is >40% [6]. Primary and above: the context of the primary and above educational level expresses the study participants who have attended formal education. Other health-related variables: variables like sociodemographic characteristics, nutritional status, IP infection, and obstetric history of the study participants. Interpregnancy gap: it is defined as the number of years between the previous live birth and conception of the current pregnancy. Low interpregnancy gap: the interpregnancy gap is less than 2 years.Mid-upper arm circumference (MUAC) is a measurement of the circumference of the upper arm at the midpoint between the olecranon and acromion processes. It is normal when MUAC level is ≥21 cm; undernutrition when MUAC level is <21 cm [28].


## 2.5. Data Collection Procedures

Data were collected by two midwives and two laboratory technicians and overseen by the supervisor. Data collectors have measured the MUAC level to the nearest 0.1 cm. A structured pretested interviewer-administered questionnaire was used to obtain sociodemographic information and present and past obstetric history in pregnant women [10, 15]. Data were collected through face-to face interview. The questionnaire was initially developed in English and translated into the working language (Amharic) and then retranslated back to English to maintain its consistency.


## 2.6. Specimen Collection and Processing

The specimen collection was carried out by two trained laboratory technicians. Each step of specimen collection, processing, and analysis was supervised by experienced and trained laboratory technologist supervisors. Blood for hematocrit/packed cell volume (PCV) measurement was done based on the Standard Operational Procedures (SOPs). Venous blood samples (4 ml from each participant) were collected by laboratory technicians in Vacutainer tubes (BD, USA) containing an anticoagulant (EDTA (ethylenediaminetetraacetic acid)). Hb was measured using BC-3000 plus Auto Hematology Analyzer (Mindray; Nansha, Shenzhen 518057, China). The golden standard method for detecting HP infection status isH. pylori stool antigen testing kit. However, due to lack of budget, we had used the H. pylori antibody test strip for testing of maternal HP infection status. H. pylori antibody test strip is a qualitative membrane-based immunoassay for the detection of HP antibodies in serum or plasma. In this test procedure, anti-human IgG was immobilized in the test line region of the test. One drop of whole blood and three drops of buffer were added on the appropriate space of the kit based on the SOPs. After the specimen and buffer were added, the specimen reacts with HP antigen-coated particles in the test. This mixture migrates chromatographically along the length of the test and interacts with immobilized anti-human IgG. If the specimen contains HP antibodies, a colored line will appear in the test line region indicated a positive result. If the specimen does not contain HP antibodies, a colored line will not appear in this region indicating a negative result. To serve as a procedural control, a colored line always appeared in the control line region, indicating that proper volume of the specimen has been added, and membrane wicking has occurred [20].Stool sample processing for direct stool examination (wet smear): a drop of normal saline was put on the cleaned microscope slides, and a small amount of the stool specimen was taken with a wooden stick and mixed with saline and was examined as soon as possible (within 30 minutes of passage), and on soft/formed stool within 60 minutes of passage, helminth ova was examined using the 10x objective, and cysts and trophozoites were examined using the 40x objective; this aids to detect certain protozoa trophozoites with their identification [16].


## 2.7. Data Quality Control

Before the actual data collection, the questionnaire was pretested on 12 pregnant women in Kulito primary hospital nearby the health center in order to estimate the time needed to collect data, and the questionnaires were modified accordingly. Training was given for data collectors before data collection regarding the purpose of the study, interview, and ethical issues during data collection. Data collectors were instructed to completely fill the questionnaire. The data were checked for completeness and consistency throughout the data collection period.


## 2.8. Data Analysis Procedures

Data were checked for completeness, coded, and entered into EPI-data version 3.1 (Odense, Denmark) and then transferred to SPSS version 20.0 (IBM, Armonk, NY, USA) for analysis. Frequencies, means, and percentage were used to give a clear picture of sociodemographic variables. Bivariate analysis was performed to select candidate variables atP value ≤ 0.25. The variables that have statistically significant associations with the outcome variable in the bivariate analysis were further considered as a candidate for the backward stepwise multiple logistic regression model to control the effect of confounding variables. Multivariate analysis was carried out to declare variables that are independently associated with anemia, and adjusted odds ratios (AORs) were used to indicate the strength of association between dependent and independent variables. Finally, those variables with P value < 0.05 in the final model were considered as statistically significant.


## 2.9. Ethical Consideration

Ethical clearance was obtained from the Institutional Review Board of Jimma University, with ethical approval reference number IHRPGD/242/2018, and letter of cooperation was obtained from the Halaba Zone Health Department and Kulito HC Administration prior to the kickoff of the study. The objectives, benefits, and risks of the study were explained to the participants, and verbal informed consent was obtained from each participant. Participant’s confidentiality was maintained, and anonymity was insured by using codes instead of names and any personal identifier of the participants. However, those with anemia, HP infections, and IP infection were referred to concerned health personnel for appropriate intervention.


## 3. Results

### 3.1. Sociodemographic Characteristics

Out of the total sample size (241), 236 pregnant women were included with a respondent rate of 97.93%. The mean age of the women was 26.9 ± 6.3 (SD) with a range of 16–42 years. Nearly half 109 (46.2%) of the women were within the age group 25–32 years. A majority of the study participants were married 222 (94.1%), and few of them 14 (5.9 %) were divorced. More than half of the participants (59.3%) were urban residents (Table1).Table 1
Sociodemographic characteristics of the study participants in Kulito Health Center, SNNPR, Ethiopia, 2018 (n = 236).
CharacteristicsFrequency,NPercentage (%)Age16–24 years8033.925–32 years10946.233–42 years4719.9Marital statusMarried22294.1Divorced145.9Educational statusPrimary and above15866.9Illiterate7833.1Occupational statusEmployed9942Unemployed13758Family income≥2000 birr8837.3<2000 birr14862.7Family size≤4 people14260.2≥5 people9439.8ResidencyUrban14059.3Rural9640.7Hand wash before foodYes22695.8No104.2Hand wash after toiletYes201NoNo3514.8Water sourcePipe21490.7River and others229.3


### 3.2. Obstetric History, Nutritional Characteristics, and Intestinal Parasite Status of the Study Participants

Among all pregnant women, 152 (64.4%) were multigravida, and 84 (35.6%) were primigravida. A majority of the women 104 (68.4%) had interpregnancy gap of more than two years. More than half of the pregnant women 123 (52.1%) were in their third trimester followed by those in their second 74 (31.4%) and in their first 39 (16.5%). Most (93.6%) of the participants had no history of hyperemesis gravidarum during the current pregnancy. Some of the study participants 68 (28.8%) were taking iron folate during this pregnancy, but a majority 168 (71.2%) of them did not take iron folate. More than half 147 (62.3%) of the participants had meal ≤ three times a day, and 89 (37.7%) had four times and above. Nutritional status was evaluated by MUAC, and 236 of the respondents were measured; 44 (18.6%) had MUAC of less than 21 cm, and 192 (81.4%) had MUAC within normal limits (≥21 cm) (Table2).Table 2
Obstetric history and nutritional characteristics of the participants in Kulito Health Center, SNNPR, Ethiopia, 2018 (n = 236).
VariablesCategoriesFrequency,NPercentage (%)GravidityPrimigravida8435.6Multigravida15264.4Gestational age1st trimester4016.52nd trimester7431.43rd trimester13252.1Interpregnancy gap for multigravida<2 years4831.6≥2 years10468.4Iron pills taken during this pregnancyYes6828.8No16871.2Frequency of diet per day≥4 times8937.7≤3 times14762.3Mid-upper arm circumference (MUAC)≥21 cm19281.4<21 cm4418.6Intestinal parasiteYes4920.2No18779.8


### 3.3. Prevalence of HP Infection

Based on the serology IgG test for diagnosis of HP, 129 participants (54.7%) were found positive. The prevalence of HP infection is presented in Figure1.Figure 1
Prevalence of HP infections among pregnant women in Kulito Health Center, SNNPR, Ethiopia, 2018 (n = 236).


### 3.4. Prevalence of Anemia

The participants’ Hb level was used to determine the presence or absence and stage of anemia. Hb concentration of the study participants ranged from 7 to 14 gm/dl, with a mean (±SD) of 11.45 ± 1.58 gm/dl. The overall burden of anemia among the study participants was 65 (27.5%) with 15.2% mild, 12.3% moderate, and no severe cases (Figure2).Figure 2
Prevalence of anemia among pregnant women in Kulito Health Center, SNNPR, Ethiopia, 2018 (n = 236).


### 3.5. Anemia andHelicobacter pylori

The overall prevalence of HP infection among study participants was 129 (54.7%). The magnitude of anemia was high among HP-infected women than noninfected ones (Figure3).Figure 3
Anemia and HP infection among the study participants in Kulito Health Center, SNNPR, Ethiopia, 2018 (n = 236).


### 3.6. Anemia and Other Related Factors

The prevalence of anemia was high among pregnant women who were within the age of 32–42 years (18/53 (43%)), unemployed (46/137 (33.6%)), rural residents (37/96 (38.5%)), and illiterate (27/78 (34.6%)). The magnitude of anemia increased among study participants with the family size of more than or equal to five with low monthly family income. The prevalence of anemia was also found to increase as the gestational age increased, showing the highest prevalence in the third trimester (31.5%) compared with the second (30%) and first (10.3%) trimester. Women with IPG less than two years showed more prevalence of anemia (40.8%) than those with an IPG greater than or equal to two years (22.1%). The prevalence of anemia was high among pregnant women whose MUAC was less than 21 cm (52.3%). However, the magnitude of anemia was high in women who had no IP infection (45/65 (69.2%)) than infected ones (20/65 (30.8%)) (Table3).Table 3
Anemia and other related factors among study participants in Kulito Health Center, SNNPR, Ethiopia, 2018 (n = 236).
VariablesHemoglobin statusTotaln (%)Anemicn (%)Normaln (%)Age (years)16–2425 (31.3)55 (68.8)80 (33.9)24–3222 (20.2)87 (79.8)109 (46.2)32–4218 (38.3)29 (61.7)47 (19.9)OccupationEmployed19 (19.2)80 (80.8)99 (42)Unemployed46 (33.6)91 (66.4)137 (58)Educational statusPrimary and above38 (24)120 (76)158 (67)Illiterate27 (34.6)51 (65.4)78 (33)Family income≥2000 birr18 (20.7)69 (78.3)87 (36.85)<2000 birr47 (31.5)102 (68.5)149 (63.15)Family size (people)4 and less34 (23.9)108 (76.1)142 (60.2)5 and above31 (33)63 (67)94 (39.8)ResidencyUrban28 (20)112 (80)140 (59.3)Rural37 (38.5)59 (61.5)96 (40.7)Hand wash after toiletYes50 (24.9)151 (75.1)201 (85.2)No15 (42.9)20 (57.1)35 (14.8)Gravidity3 and less38 (23.45)124 (75.55)162 (68.65)≥427 (36.5)47 (63.5)74 (31.35)Gestational age1st trimester4 (10.3)35 (89.7)39 (16.5)2nd trimester21 (30)49 (70)70 (29.7)3rd trimester40 (31.5)87 (68.5)127 (53.8)IPG (years)≥223 (22.1)81 (77.9)104 (68)<220 (40.8)29 (59.2)49 (32)Taking iron foliateYes15 (22.1)53 (77.9)68 (28.8)No50 (29.8)118 (70.2)168 (71.2)Frequency of meal per day≥426 (25.7)75 (74.3)101 (42.8)≤3 time39 (28.9)96 (71.1)135 (57.2)Taking meat at least once a monthYes20 (18)91 (82)111 (47)No45 (36)80 (64)125 (53)Taking egg at least once a monthYes27 (23.7)87 (76.3)114 (48.3)No38 (31.1)84 (68.9)122 (51.7)Taking milk at least once a monthYes34 (28.8)84 (71.2)118 (50)No33 (28)85 (72)118 (50)MUAC in cm≥2142 (21.9)150 (78.1)192 (81.35)<2123 (52.3)21 (47.7)44 (18.65)IP infectionNo45 (24.1)142 (75.9)187 (79.24)Yes20 (40.8)29 (59.2)49 (20.76)MUAC: mid-upper arm circumference, IP: intestinal parasite, and IPG: interpregnancy gap.


### 3.7. The Relationship between Anemia and Other Related Factors

The variables that showed statistically significant association (atP value ≤ 0.25) in the bivariate analysis were transferred and further analyzed in multivariable logistic regression to adjust for potential confounders and to identify predictors of anemia. In multivariable logistic regression, variables with P value less than 0.05 were considered as independent factors for anemia. The model was tested for multicollinearity (VIF = 1.088–2.022), and Hosmer–Lemeshow test was used for goodness of fit P=0.810; as a result, the model was fit, and no multicollinearity existed. In multivariate logistic regression analysis, IPG, gestational age, and MUAC level were variables independently associated with anemia (Table 4).Table 4
Bivariate and multivariate analysis of anemia and related factors among study participant in a Kulito Health Center, SNNPR, Ethiopia, 2018 (n = 236).
VariableHemoglobin statusCOR (95% CI)AOR (95% CI)Anemicn (%)Normaln (%)Age (years)P≤0.0470.24316–2425 (31.3%)55 (68.8%)1124–3222 (20.2%)87 (79.8%)0.556 (0.286–1.082)0.749 (0.192–2.921)32–4218 (38.3%)29 (61.7%)1.366 (0.642–2.904)1.730 (0.341–8.772)OccupationP≤0.0160.355Employed19 (19.2%)80 (80.8%)11Unemployed46 (33.6%)91 (66.4%)2.128 (1.153–3.929)1.514 (0.628–3.646)Educational statusP≤0.0890.186Primary38 (24%)120 (76%)11Illiterate27 (34.6%)51 (65.4%)1.672 (0.925–3.023)0.504 (0.183–1.391)Family incomeP≤0.0620.586≥2000 birr18 (20.7%)69 (78.3%)11<2000 birr47 (31.5%)102 (68.5%)1.810(0.971–3.374)1.349 (0.459–3.963)Family size (people)P≤0.1300.459≤434 (23.9)108 (76.1)11≥531 (33)63 (67)1.563(0.877–2.785)0.638 (0.194–2.096)ResidencyP≤0.0020.137Urban28 (20%)112 (80%)11Rural37 (38.5%)59 (61.5%)2.508 (1.400–4.496)1.878 (0.818–4.310)GravidityP≤0.0130.053≤338 (23.45%)124 (75.55)11≥427 (36.5%)47 (63.5)1.931 (1.062–3.511)2.197 (0.990–4.876)Gestational ageP≤0.0440.0601st trimester4 (10.3%)35 (89.7)112nd trimester21 (30%)49 (70)3.750 (1.183–11.889)3.868 (0.696–21.485)3rd trimester40 (31.5%)87 (68.5)4.023 (1.339–12.087)6.457 (1.276–32.729)∗IPG (years)P≤0.0180.013≥223 (22.1%)81 (77.9%)11<220 (40.8%)29 (59.2%)2.429 (1.166–5.061)2.863 (1.245–6.582)∗Taking iron folateP≤0.2320.755Yes15 (22.1%)53 (77.9%)11No50 (29.8%)118 (70.2%)1.497 (0.772–2.902)1.166 (0.444–3.066)Taking meat at least once a monthP ≤ 0.0030.322Yes20 (18%)91 (82%)11No45 (36%)80 (64%)2.500(1.363–4.584)1.618 (0.625–4.194)Taking egg at least once a monthP≤0.1740.742Yes27 (23.7%)87 (76.3%)11No38 (31.1%)84 (68.9%)1.492 (0.838–2.658)0.857 (0.342–2.147)MUAC in cmP≤0.00010.040≥2142 (21.9%)150 (78.1%)11<2123 (52.3%)21 (47.7%)3.912 (1.975–7.747)2.595 (1.044–6.450)∗IP infectionP≤0.0210.604No45 (24.1%)142 (75.9%)11Yes20 (40.8%)29 (59.2%)2.176 (1.124–4.235)1.328 (0.454–3.885)∗Statistically significant at 95% CI, P value < 0.05; 1-reference, CI: confidence interval, and AOR: adjusted odds ratio.Pregnant women with IPG less than two years were 2.8 times (AOR = 2.863, 95% CI: 1.245–6.582) more likely to suffer from anemia when compared to having IPG greater than two years. Another important predictor was gestational age being on the third trimester which was 6.5 times (AOR = 6.457; 95% CI: 1.276–32.729) more likely to suffer from anemia when compared with those on the first trimester. Most importantly, MUAC level less than 21 cm was strongly associated with anemia. Pregnant women with MUAC level less than 21 cm were 2.6 times (AOR = 2.595, 95% CI: 1.044–6.450) more likely to develop anemia as compared with participants with MUAC level greater than 21 cm.


### 3.8. The Relationship between Anemia and HP Infection

Pregnant women with HP infection were 3 times (AOR = 3.064, 95% CI: 1.336–7.027) higher to develop anemia as compared with those without HP infection (Table5).Table 5
The relationship between anemia and HP infection among study participants in Kulito Health Center, SNNPR, Ethiopia, 2018 (n = 236).
VariableHemoglobin statusCOR (95% CI)AOR (95% CI)Anemicn (%)Normaln (%)HP infectionP≤0.0010.008No18 (16.8%)89 (83.2%)11Yes47 (36.4%)82 (63.6%)2.834 (1.524–5.271)3.064 (1.336–7.027)∗∗Statistically significant at 95% CI, P value < 0.05.


## 3.1. Sociodemographic Characteristics

Out of the total sample size (241), 236 pregnant women were included with a respondent rate of 97.93%. The mean age of the women was 26.9 ± 6.3 (SD) with a range of 16–42 years. Nearly half 109 (46.2%) of the women were within the age group 25–32 years. A majority of the study participants were married 222 (94.1%), and few of them 14 (5.9 %) were divorced. More than half of the participants (59.3%) were urban residents (Table1).Table 1
Sociodemographic characteristics of the study participants in Kulito Health Center, SNNPR, Ethiopia, 2018 (n = 236).
CharacteristicsFrequency,NPercentage (%)Age16–24 years8033.925–32 years10946.233–42 years4719.9Marital statusMarried22294.1Divorced145.9Educational statusPrimary and above15866.9Illiterate7833.1Occupational statusEmployed9942Unemployed13758Family income≥2000 birr8837.3<2000 birr14862.7Family size≤4 people14260.2≥5 people9439.8ResidencyUrban14059.3Rural9640.7Hand wash before foodYes22695.8No104.2Hand wash after toiletYes201NoNo3514.8Water sourcePipe21490.7River and others229.3


## 3.2. Obstetric History, Nutritional Characteristics, and Intestinal Parasite Status of the Study Participants

Among all pregnant women, 152 (64.4%) were multigravida, and 84 (35.6%) were primigravida. A majority of the women 104 (68.4%) had interpregnancy gap of more than two years. More than half of the pregnant women 123 (52.1%) were in their third trimester followed by those in their second 74 (31.4%) and in their first 39 (16.5%). Most (93.6%) of the participants had no history of hyperemesis gravidarum during the current pregnancy. Some of the study participants 68 (28.8%) were taking iron folate during this pregnancy, but a majority 168 (71.2%) of them did not take iron folate. More than half 147 (62.3%) of the participants had meal ≤ three times a day, and 89 (37.7%) had four times and above. Nutritional status was evaluated by MUAC, and 236 of the respondents were measured; 44 (18.6%) had MUAC of less than 21 cm, and 192 (81.4%) had MUAC within normal limits (≥21 cm) (Table2).Table 2
Obstetric history and nutritional characteristics of the participants in Kulito Health Center, SNNPR, Ethiopia, 2018 (n = 236).
VariablesCategoriesFrequency,NPercentage (%)GravidityPrimigravida8435.6Multigravida15264.4Gestational age1st trimester4016.52nd trimester7431.43rd trimester13252.1Interpregnancy gap for multigravida<2 years4831.6≥2 years10468.4Iron pills taken during this pregnancyYes6828.8No16871.2Frequency of diet per day≥4 times8937.7≤3 times14762.3Mid-upper arm circumference (MUAC)≥21 cm19281.4<21 cm4418.6Intestinal parasiteYes4920.2No18779.8


## 3.3. Prevalence of HP Infection

Based on the serology IgG test for diagnosis of HP, 129 participants (54.7%) were found positive. The prevalence of HP infection is presented in Figure1.Figure 1
Prevalence of HP infections among pregnant women in Kulito Health Center, SNNPR, Ethiopia, 2018 (n = 236).


## 3.4. Prevalence of Anemia

The participants’ Hb level was used to determine the presence or absence and stage of anemia. Hb concentration of the study participants ranged from 7 to 14 gm/dl, with a mean (±SD) of 11.45 ± 1.58 gm/dl. The overall burden of anemia among the study participants was 65 (27.5%) with 15.2% mild, 12.3% moderate, and no severe cases (Figure2).Figure 2
Prevalence of anemia among pregnant women in Kulito Health Center, SNNPR, Ethiopia, 2018 (n = 236).


## 3.5. Anemia andHelicobacter pylori

The overall prevalence of HP infection among study participants was 129 (54.7%). The magnitude of anemia was high among HP-infected women than noninfected ones (Figure3).Figure 3
Anemia and HP infection among the study participants in Kulito Health Center, SNNPR, Ethiopia, 2018 (n = 236).


## 3.6. Anemia and Other Related Factors

The prevalence of anemia was high among pregnant women who were within the age of 32–42 years (18/53 (43%)), unemployed (46/137 (33.6%)), rural residents (37/96 (38.5%)), and illiterate (27/78 (34.6%)). The magnitude of anemia increased among study participants with the family size of more than or equal to five with low monthly family income. The prevalence of anemia was also found to increase as the gestational age increased, showing the highest prevalence in the third trimester (31.5%) compared with the second (30%) and first (10.3%) trimester. Women with IPG less than two years showed more prevalence of anemia (40.8%) than those with an IPG greater than or equal to two years (22.1%). The prevalence of anemia was high among pregnant women whose MUAC was less than 21 cm (52.3%). However, the magnitude of anemia was high in women who had no IP infection (45/65 (69.2%)) than infected ones (20/65 (30.8%)) (Table3).Table 3
Anemia and other related factors among study participants in Kulito Health Center, SNNPR, Ethiopia, 2018 (n = 236).
VariablesHemoglobin statusTotaln (%)Anemicn (%)Normaln (%)Age (years)16–2425 (31.3)55 (68.8)80 (33.9)24–3222 (20.2)87 (79.8)109 (46.2)32–4218 (38.3)29 (61.7)47 (19.9)OccupationEmployed19 (19.2)80 (80.8)99 (42)Unemployed46 (33.6)91 (66.4)137 (58)Educational statusPrimary and above38 (24)120 (76)158 (67)Illiterate27 (34.6)51 (65.4)78 (33)Family income≥2000 birr18 (20.7)69 (78.3)87 (36.85)<2000 birr47 (31.5)102 (68.5)149 (63.15)Family size (people)4 and less34 (23.9)108 (76.1)142 (60.2)5 and above31 (33)63 (67)94 (39.8)ResidencyUrban28 (20)112 (80)140 (59.3)Rural37 (38.5)59 (61.5)96 (40.7)Hand wash after toiletYes50 (24.9)151 (75.1)201 (85.2)No15 (42.9)20 (57.1)35 (14.8)Gravidity3 and less38 (23.45)124 (75.55)162 (68.65)≥427 (36.5)47 (63.5)74 (31.35)Gestational age1st trimester4 (10.3)35 (89.7)39 (16.5)2nd trimester21 (30)49 (70)70 (29.7)3rd trimester40 (31.5)87 (68.5)127 (53.8)IPG (years)≥223 (22.1)81 (77.9)104 (68)<220 (40.8)29 (59.2)49 (32)Taking iron foliateYes15 (22.1)53 (77.9)68 (28.8)No50 (29.8)118 (70.2)168 (71.2)Frequency of meal per day≥426 (25.7)75 (74.3)101 (42.8)≤3 time39 (28.9)96 (71.1)135 (57.2)Taking meat at least once a monthYes20 (18)91 (82)111 (47)No45 (36)80 (64)125 (53)Taking egg at least once a monthYes27 (23.7)87 (76.3)114 (48.3)No38 (31.1)84 (68.9)122 (51.7)Taking milk at least once a monthYes34 (28.8)84 (71.2)118 (50)No33 (28)85 (72)118 (50)MUAC in cm≥2142 (21.9)150 (78.1)192 (81.35)<2123 (52.3)21 (47.7)44 (18.65)IP infectionNo45 (24.1)142 (75.9)187 (79.24)Yes20 (40.8)29 (59.2)49 (20.76)MUAC: mid-upper arm circumference, IP: intestinal parasite, and IPG: interpregnancy gap.


## 3.7. The Relationship between Anemia and Other Related Factors

The variables that showed statistically significant association (atP value ≤ 0.25) in the bivariate analysis were transferred and further analyzed in multivariable logistic regression to adjust for potential confounders and to identify predictors of anemia. In multivariable logistic regression, variables with P value less than 0.05 were considered as independent factors for anemia. The model was tested for multicollinearity (VIF = 1.088–2.022), and Hosmer–Lemeshow test was used for goodness of fit P=0.810; as a result, the model was fit, and no multicollinearity existed. In multivariate logistic regression analysis, IPG, gestational age, and MUAC level were variables independently associated with anemia (Table 4).Table 4
Bivariate and multivariate analysis of anemia and related factors among study participant in a Kulito Health Center, SNNPR, Ethiopia, 2018 (n = 236).
VariableHemoglobin statusCOR (95% CI)AOR (95% CI)Anemicn (%)Normaln (%)Age (years)P≤0.0470.24316–2425 (31.3%)55 (68.8%)1124–3222 (20.2%)87 (79.8%)0.556 (0.286–1.082)0.749 (0.192–2.921)32–4218 (38.3%)29 (61.7%)1.366 (0.642–2.904)1.730 (0.341–8.772)OccupationP≤0.0160.355Employed19 (19.2%)80 (80.8%)11Unemployed46 (33.6%)91 (66.4%)2.128 (1.153–3.929)1.514 (0.628–3.646)Educational statusP≤0.0890.186Primary38 (24%)120 (76%)11Illiterate27 (34.6%)51 (65.4%)1.672 (0.925–3.023)0.504 (0.183–1.391)Family incomeP≤0.0620.586≥2000 birr18 (20.7%)69 (78.3%)11<2000 birr47 (31.5%)102 (68.5%)1.810(0.971–3.374)1.349 (0.459–3.963)Family size (people)P≤0.1300.459≤434 (23.9)108 (76.1)11≥531 (33)63 (67)1.563(0.877–2.785)0.638 (0.194–2.096)ResidencyP≤0.0020.137Urban28 (20%)112 (80%)11Rural37 (38.5%)59 (61.5%)2.508 (1.400–4.496)1.878 (0.818–4.310)GravidityP≤0.0130.053≤338 (23.45%)124 (75.55)11≥427 (36.5%)47 (63.5)1.931 (1.062–3.511)2.197 (0.990–4.876)Gestational ageP≤0.0440.0601st trimester4 (10.3%)35 (89.7)112nd trimester21 (30%)49 (70)3.750 (1.183–11.889)3.868 (0.696–21.485)3rd trimester40 (31.5%)87 (68.5)4.023 (1.339–12.087)6.457 (1.276–32.729)∗IPG (years)P≤0.0180.013≥223 (22.1%)81 (77.9%)11<220 (40.8%)29 (59.2%)2.429 (1.166–5.061)2.863 (1.245–6.582)∗Taking iron folateP≤0.2320.755Yes15 (22.1%)53 (77.9%)11No50 (29.8%)118 (70.2%)1.497 (0.772–2.902)1.166 (0.444–3.066)Taking meat at least once a monthP ≤ 0.0030.322Yes20 (18%)91 (82%)11No45 (36%)80 (64%)2.500(1.363–4.584)1.618 (0.625–4.194)Taking egg at least once a monthP≤0.1740.742Yes27 (23.7%)87 (76.3%)11No38 (31.1%)84 (68.9%)1.492 (0.838–2.658)0.857 (0.342–2.147)MUAC in cmP≤0.00010.040≥2142 (21.9%)150 (78.1%)11<2123 (52.3%)21 (47.7%)3.912 (1.975–7.747)2.595 (1.044–6.450)∗IP infectionP≤0.0210.604No45 (24.1%)142 (75.9%)11Yes20 (40.8%)29 (59.2%)2.176 (1.124–4.235)1.328 (0.454–3.885)∗Statistically significant at 95% CI, P value < 0.05; 1-reference, CI: confidence interval, and AOR: adjusted odds ratio.Pregnant women with IPG less than two years were 2.8 times (AOR = 2.863, 95% CI: 1.245–6.582) more likely to suffer from anemia when compared to having IPG greater than two years. Another important predictor was gestational age being on the third trimester which was 6.5 times (AOR = 6.457; 95% CI: 1.276–32.729) more likely to suffer from anemia when compared with those on the first trimester. Most importantly, MUAC level less than 21 cm was strongly associated with anemia. Pregnant women with MUAC level less than 21 cm were 2.6 times (AOR = 2.595, 95% CI: 1.044–6.450) more likely to develop anemia as compared with participants with MUAC level greater than 21 cm.


## 3.8. The Relationship between Anemia and HP Infection

Pregnant women with HP infection were 3 times (AOR = 3.064, 95% CI: 1.336–7.027) higher to develop anemia as compared with those without HP infection (Table5).Table 5
The relationship between anemia and HP infection among study participants in Kulito Health Center, SNNPR, Ethiopia, 2018 (n = 236).
VariableHemoglobin statusCOR (95% CI)AOR (95% CI)Anemicn (%)Normaln (%)HP infectionP≤0.0010.008No18 (16.8%)89 (83.2%)11Yes47 (36.4%)82 (63.6%)2.834 (1.524–5.271)3.064 (1.336–7.027)∗∗Statistically significant at 95% CI, P value < 0.05.


## 4. Discussion

The current study assessed the association between HP infection and occurrence of anemia among pregnant women attending antenatal care at Kulito Health Center, Halaba Zone, South Ethiopia. This study found significant association between anemia and HP infection (AOR = 3.064, 95% CI = 1.336–7.027). Pregnant women with HP infection were more likely to have anemia than those without HP infection. This finding is in agreement with the previous study done among pregnant women in Addis Ababa [16], Iran [12], India [24], and Turkey [23]. Similarly, the study conducted in Butajira among dyspeptic nonpregnant patients also found significant association between anemia and HP infection [20]. However, the study conducted in Butajira among children and Sudan among pregnant women was failed to found association between anemia and HP infection [25, 26].The probable finding of these results could be due to some possible mechanisms by which HP affects iron metabolism by decreased absorption resulting from chronic gastritis, decreased gastric juice ascorbic acid concentration, increased hepcidin production associated with HP gastritis, uptake of iron by HP for growth, and decreased availability of iron by sequestration of iron in lactoferrin in the gastric mucosa and bacterium host competition for dietary iron supply [22]. Another explanation most commonly offered for this relationship could be also based upon the development of HP-associated chronic gastritis with resultant achlorhydria and reduced ascorbic acid secretion leading to reduced intestinal iron absorption [18]. Besides, an association between anemia and HP includes occult blood loss from erosive gastritis and sequestration and utilization of iron by the organism [12].The burden of prenatal anemia is widely recognized as a major public health problem throughout the world, particularly in developing countries [9]. Because of blood volume expansion and increased iron demand of the fetus and the mother, hemoglobin level altered dramatically during the course of pregnancy [24]. This study noted that the prevalence of anemia in this study population was found to be 27.5% (95% CI = 22.0, 33.5). It is of moderate public health significance according to the WHO criterion, which means the magnitude of anemia is within the range of 20–39.9% [29, 30].The overall prevalence of anemia of this study is comparable with the former studies from various parts in Ethiopia, such as 27.6% from Butajira General Hospital, southern Ethiopia, 27.9% from Harerge, southeast Ethiopia, and 29.1% from Uganda [6, 10, 31]. The result was slightly higher than the previous local reports from Aymba HC, northwest Ethiopia, 25.2% [7]. However, this report was lower than another study such as 61.6% was reported from Boditi, southern Ethiopia, 56.8% from Gode, southeast Ethiopia, 32.8% from Arba Minch, southern Ethiopia, and 31% from Iran [2, 8, 9, 12]. Such magnitude differences may be due to differences in inclusion and exclusion criterion and dietary characteristics of the study participants between the studies. The above study included pregnant women with known chronic illness and bleeding, but in our study, they were excluded.Systematic review and meta-analysis study found that worldwide prevalence of HP infection in the general population ranges from 25% to 94% [21]. Another systematic review and meta-analysis conducted in 2017 indicates the global prevalence of HP infection in pregnant women was 46% (23).The prevalence of HP infection in this study population was found to be 54.7% (95% CI: 47.9–61.4).This prevalence of HP infection is consistent with studies conducted in Jinka and Butajira among the general population which reported prevalence of HP infection to be 50.7% and 52.4%, respectively [17, 18]. The result of this study is also similar with the study done in Iran which found prevalence of HP infection to be 54.2% among pregnant women [12].The study conducted among the general population in Jijiga and Hawassa reported high prevalence of HP infection as compared with this study which found prevalence of HP infection to be 71% and 83.3%, respectively [19, 32]. However, the result of this study is higher than the study conducted among pregnant women in Addis Ababa [16]. The difference of the magnitude of HP infection might be due to the difference in sample size, sociodemography, and especially laboratory methods they used.Anemia is a problem that is caused by several factors. The present study found IPG as a predictor of anemia, and thus, pregnant women with <2 years of IPG were 3 times more likely to suffer anemia when compared with those having ≥2 years of IPG. Similar findings were also reported from the studies conducted at Arba Minch, Asosa Zone, and Butajira [2, 10, 11]. In contrast, the study conducted in Boditi showed that anemia was more prevalent in women with IPG greater than or equal to two years (87.5%) than those with less than two years (12.5%) [9]. Appropriate time after each pregnancy for recovery and replenishment of nutrient stores requires 2–5 years. Pregnancy with a short birth interval leads to IDA as iron requirements are substantially higher than the average [1]. The risk of maternal nutritional depletion increases with closed birth intervals [11].Gestational age was also another factor significantly associated with anemia in this study. Pregnant women in the third trimester pregnancy were 6.5 times more likely to develop anemia as compared with those in the first trimester pregnancy. Similarly the study done in Boditi, Harerge, and Gode showed significant association of anemia with the third trimester of gestational age [6, 8, 9]. In contrast, the study conducted in Aymba HC, Amhara region, and Asosa Zone failed to find association of anemia with third trimester pregnancy [11, 20].This could be due to the fact that when the gestational age increases, the mother becomes weak, and iron in the blood is shared with the fetus in the womb. Another factor is increasing of total blood volume as the gestational age increases.Another variable significantly associated with anemia was MUAC level. MUAC less than 21 cm was found to increase the risk of developing anemia. The current study showed that pregnant women with MUAC<21 cm had 2.6 times more risk of developing anemia than those with MUAC≥21 cm. This finding is consistent with a study done in Asosa Zone and Gode [8, 11]. However, the study conducted in Mekelle failed to find the significant association of MUAC<21 cm and anemia [28]. Pregnancy is the most nutritionally demanding time in a woman’s life, which increases the vulnerability of mothers for poor micronutrient reserve, including iron. Undernutrition impaired production of iron transport proteins and increased depletion of stored iron may contribute for the occurence of anemia among undernourished pregnant women [7].


## 5. Conclusion

According to the present study, the overall prevalence of anemia among women attending the antenatal care clinic in Kulito Health Center was 27.5% (95% CI = 22.0, 33.5). Anemia is a moderate public health problem in Kulito Health Center. The overall prevalence of HP infection in this study population was found to be 54.7% (95% CI: 47.9–61.4). HP infection, MUAC level, IPG, and gestational age of being in the third trimester were significantly associated with anemia. Pregnant women should be aware that anemia is a problem that can be prevented by early prevention and treatment of HP infection and undernutrition, using family planning to widen the interpregnancy gap. Therefore, a means to increase their awareness about family planning and prevention and treatment of HP infection and undernutrition should be considered. Further experimental studies are warranted to determine the cause and effect of the association between anemia and HP infection.



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*Source: 6574358-2020-07-24.xml*