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Reproductive System & Sexual Disorders: Current Research

Reproductive System & Sexual Disorders: Current Research
Open Access

ISSN: 2161-038X

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Research Article - (2022)Volume 11, Issue 1

Prevalence and Determinants of Anemia during Pregnancy at Hodeida city (Yemen) During the Year 2021

Nabil M. H. Gonaid1*, Salwa El-Sanousi2 and Hussien Kadi3
 
*Correspondence: Nabil M. H. Gonaid, Community Medicine Department, Hodeida University, Hodeida, Yemen, Email:

Author info »

Abstract

Background: Anemia In Pregnancy (AIP) is a global public health problem reaching prevalence as 41.8% globally, and up to 54% in Middle East region. It accounts for 20% of global maternal deaths. In Yemen, prevalence of AIP is 40%. It consists a part of high complicated maternal mortality ratio which reached 164 according last Yemeni demographic health survey reports. The study aimed to assess AIP prevalence and determinants at Hodeida city, Yemen.

Methods: Cross sectional study conducted on 500 pregnant women who were selected from Hodeida health centers, their data collected through structured pretested questionnaire, Hb of study members had been assessed through hemoglobinometer.

Data analysis: Data statistically analyzed through SPSS program (version 22) using descriptive statistics, Chi square test for investigating the association between AIP and the independent factors.

Results: The study revealed AIP prevalence as 55%. It revealed statistically significant determinants of AIP including husband education (P=0.000), mother education (P=0.10), mother concerned health knowledge (P=0.000), suffering from over menses (P=0.000), family socioeconomic level (P=0.000), food sufficiency (P=0.02), food diversity (P=0.087), supplementary feeding support (P=0.05), Khat chewing habit (P=0.094) and post meal tea drinking (P=0.043), while no significant association found for mother age (P=0.144), parity (P=0.690), pregnancy trimester (P=0.414), breastfeeding (P=0.581) and using contraceptives (P=0.208).

Conclusion: Anemia in pregnancy at Hodeida city is a sever public health problem according WHO classification. Socio economic and nutritional factors are representing its roots.

Keywords

Anemia; Pregnancy; Prevalence; Determinants

Introduction

Yemen is one of the least developed countries in the world, and one of the poorest countries in the middle east with reported food scarcity, high illiteracy especially in females [1]. Differing from Yemeni official figure of 164 as maternal mortality ratio, UNFPA reported it during 2019 as 385 [2].

Yemen is among countries which had negatively affected by Arab spring events of 2011, and had fallen into protracted conflict [3]. The war and siege on Yemen had a devastating impact on the health of women and children [4]. Evidence demonstrated that the health effects of conflict on women and children were neglected [5].

Hodeida is a coastal governorate at the west of Yemen, It is one of the highest population governorates in Yemen, It has around 3 million peoples mostly working in a primitive agriculture and fishing. It has highest poverty and the lowest human development indices. It comprises 26 districts; It has been classified By Ministry Of Public Health and Population (MOPHP) among the most governorates suffering from malnutrition [6].

The global prevalence of AIP is estimated as 41.8%, and in more than 80% of countries in the world, the prevalence of AIP had estimated at 29%. It reaches around 50% in low and middle-income countries including Middle East region [7]. AIP is associated with increased maternal, neonatal and perinatal mortality, low birth weight, premature birth, and delayed child development. Also AIP has a significant effect on nutritional status of young children leading to stunting and underweight. AIP globally accounts for 12% of Low birth weight, 19% of pre-term birth, and 18% of perinatal mortality [8]. According to study in 29 countries across Latin America, Africa, the Western Pacific, eastern Mediterranean, and Southeast Asia, maternal death in women with severe anemia found to be higher compared with those without severe anemia [9]. Further studies reached a strong association between moderate to severe anemia at 28 weeks of gestation and the severity of intra and postpartum hemorrhage [10]. Iron Deficiency Anemia (IDA), is the main cause of AIP, while intestinal worms infestations; (particularly, hookworm and malaria) worsen the problem of anemia in many areas worldwide [11]. In Yemen prevalence of AIP is 40%. It consisting a significant part of high complicated maternal mortality ratio. Scope of this study is to explore prevalence and determinants of AIP in Hodeida city, Yemen.

Methodology

A cross-sectional study conducted on pregnant women attending anti natal care clinics at 17 health centers in Hodeida city during the period (mid-November 2020-mid January 2021).

Sampling

Sample size had been calculated using on line computerized soft program estimating number of pregnant women is 27104 (according population projections for the year 2020) and assuming the prevalence of AIP in Hodeida city is going with Yemeni national figure as 40% [12,13]. The total calculated representative sample with 5% error yielded was 379. The sample size was increased to 500 to improve the precision of the study. Sample size had been divided over the three districts of Hodeida city (Al-Hali, Al-Hawak, Al- Miena) according population density, by the ratio (40%,35%,25%) respectively. Health Centers (HCs) from each of the three districts had been selected according to the client attendance rate, thus all high and average attendance rated HCs in the three districts were selected and they reached 17 HCs. The quota of each district of study sample had divided on its selected HCs according health center attendance rate by the ratio (3 for high attendance against 2 for average attendance HC). The study sample per district and health center has revealed in Table 1.

District Name Name  of Heath center Cases
No. %
Al-Hali  district Al-Hali HC 26 5.2%
Al-Senaeei HC 34 6.8%
Palestine HC 32 6.4%
Al-Zaafran HC 30 6%
Al Salakhanah MCH  center 44 8.8%
Al-Kedf HC 20 4%
Al-Baida Al-gharbiah HC 17 3.4%
Al Hali total study cases 203
Al-Hawak district Al-Hawk HC 31 6.2%
Al-Shahariah HC 33 6.6%
Al- Rabassah HC 33 6.6%
Al-Thawrah MCH center 45 9%
Al-Qasr HC 20 4%
Al Hawak  total study cases 162
Al-Miena district Al-Zabariah HC 35 7%
Al-Bostan HC 26 5.2%
Al-Tahrir HC 37 7.4%
Al-Ommal HC 25 5%
Al-Qalaa HC 12 2.4%
Al Miena  total study cases 135
  Grand total study cases 500 100%

Table 1: Study sample distribution per HC, district.

Data collection

Data collected by well-trained health staff according a previously prepared and pre tested data collection tool through interviewing the consenting pregnant women in antenatal care clinics of the slected health centers. Information in the questionnaire included socio demographic characteristics such as age, occupation and educational status, nutritional patterns and habits, mother concerned health knowledge’s and behavior. Hb had been tested after completing the interview by hemoglobinometer.

Socioeconomic standards of study members had been scored using modified scoring system after Fahmi and Sherbini [14] as revealed in Tables 2-6, while innovative schemes for scoring other addressed independent factors in this study had been used as revealed in Tables 7-11.

Education level Mother Father
Illiterate 0 0
literacy certificate or read, write 1 1
less than secondary school 2 2
Finishing secondary school 3 3
Bachelor or license degree 3 4
Getting  post  graduate degree 3 5

Table 2: Parents education scoring as socio economic parameter.

Father/mother job  
No job 0
Reporter, mattress, cleaner. 1+1
Father (soldier, puddler, Barber restaurant worker, motorcycle driver, sales man, Farmer, fisherman)
Mother (Nurse Teacher, clerk, semer, sales woman in a shop, sales woman of fabrics and garments)

2

2

Father (Teacher, public or private clerk) Mother (Teacher, physician, lawyer)

3

3

Table 3: Parents job scoring as socio economic parameter.

Father job  
plumber, joiner, electric, carter mechanical , shopkeeper,
transfer, vendor meat, fruit and vegetables seller
4
Import dealer, wholesaler, construction contractors,
administrative military and civilian senior managers
5
University teacher, physician Engineer, lawyer.

6

Table 3: Parents job scoring as socio economic parameter.

Type of house House equipment’s
4 Own modern house 1 -Refrigerator
2 Rented modern house 1 -Washing Machine
1 Primitively constructed 1 -Cocking oven
  Crowding  index 1 -Television
(persons per room)
4 1-2 persons 1 -Receiver
2 3-4 persons 1 -Computer
1 5 persons and more 2 -Own car

Table 4: Scoring of housing conditions as socioeconomic parameter.

Housing and sanitation  
-Availability of  safe tape water 2
-Availability of sanitary sewage 2
-Availability of refuse disposal 2
Family income  
- Enough and possible saving 4
- Enough and non-possible saving 2
-Not enough and accumulative loans 1

Table 5: Scoring of housing sanitation and family income as socioeconomic parameter.

Total score Interpretation
0-18 Low
19-31 Average
More than 31 High

Table 6: Reaching overall family socioeconomic scoring and its interpretation.

Item Score
A-Exclusive breast feeding period  
-Less than 6 months 2
-6 months 4
B-Whole period of breast feeding  
-Up to 6 months 1
-6-12 months 2
-More than 12 months 3
Total scoring  
-Weak 0-4
-Average 5-6
-Good 7

Table 7: Scheme for scoring breast feeding commitment.

Item Score
A-Number of daily meals  
-1-2 meals per day 1
-3 meals per day 2
-More than 3 meals 3
B -Post meal satisfying  
-Rarely 1
-Some times 2
-Usually 3
C-Peoples sharing meals  
-Her kids 4
-Her husband and kids 3
-Two families members 2
-More than 2 families members 1
Total scoring  
- Poor 0-4
-Average 05-Jul
- Good 08-Oct

Table 8: Scheme for scoring food sufficiency.

Items Marks Items Marks
A-Meats in meals   C-Fruits and vegetables in meals  
Many times 4   3
Some times Rarely 3 Many times 2
  2 Some times 1
Very rarely 1 Rarely  
    Total scoring  
B - Cereals and Beans in meals 3 Good 8-10
Many times 2 Average 5-7
Some times Rarely 1 Poor 0-4

Table 9: Scheme for scoring food diversity.

Days of chewing
per week
Marks Hours of chewing per day Marks Total
marks
Scoring
interpretation
1-2 days 1 1-3 hours 1 2 Mild
Most days 2 3-5 hours 2 3-4 Moderate
Every day 3 More than five  hours 3 5-6 Intense

Table 10: Scheme for scoring khat chewing intensity.

Mothers  knowledge’s Anemia symptoms
Marks
Locally available foods
rich of iron and vitamin c   (marks)
Total marks scoring
Total marks Score
Doesn’t know 0 0 0-1 Bad
Knows  1-2 items 1 1 2-3 Average
Knows more than 2 items 2 2 4 Good

Table 11: Scheme for scoring mother concerned health knowledge’s.

N Items Cronbach Alpha Stability
500 64 0.71 0.84

Table 12. Cronbach Alpha test out puts.

Independent factor  Chi square df P-value
Husband education 15.389a 3 0.000***
Family socio economic level 24.279a 2 0.000***
AIP concerned  health knowledge 28.168a 2 0.000***
History of  over menses 32.164a 1 0.000***
History of Malaria and Intestinal helminthes 29.616a 6 0.000***
Post meal tea drinking 3.457a 1 0.043**
Food sufficiency 14.972a 6 0.02**
SFP support 2.744a 1 0.05**
Mother education 5.930a 3 0.10*
Khat chewing 6.401a 3 0.094*
Food diversity 4.878a 2 0.087*
Mother age group .668a 1 0.144
Parity .743a 2 0.690
Pregnancy trimester  .668a 1 0.414
History of contraception 3.137a 2 0.208
Breastfeeding 1.958a 3 0.581

Table 13. Statistical significance of Independent factor.

Data entry and analysis

SPSS (version 22) had been used for data entry and analysis.

Cronbach Alpha test had been conducted and concluded (as shown in Table 12), that a questionnaire has a high level of internal consistency and reliability Descriptive statistics (frequencies, percentages, means and standard deviation) had been used, and Chi square test had been used for investigating the association between initial anemic state and the independent variables of study, given by formula: χ2=Σ(Oi – Ei)2/Ei Where: Oi=observed value (actual value) and Ei=expected

Results

A Study sample characters (Figures 1-4) majority of study sample (around 86.4%) belonged to the age group (18-35 Years old). Half of study members had secondary education level, and Illiteracy among study member’s reached (28%). 52% of study members attained intermediate scores of socio economic level opposite 44% attained low scores. 40% were Para 2-4, 36% were nulliparous and 24% were Para more than 4. B)The study revealed Prevalence of AIP among study sample as 55% (N=275). C) Determinants of anemia in pregnancy has shown in (Table 13). As revealed in Table 13 the study had found:

Reproductive-System-sample

Figure 1: Study sample via age group.
Equation

Reproductive-System-couple

Figure 2: Study sample via couple education
Equation

Reproductive-System-parity

Figure 3: Study sample via parity
Equation

Reproductive-System-socioeconomic

Figure 4: Study sample via socioeconomic level

I-Statistically high significant association of AIP (P value=0.00) with husband education, mother AIP concerned health knowledge, family socio economic level, history of over menses, History of parasitic infections and Malaria.

II-Statistically mid significant association of AIP with post meal tea drinking (P value=0.04), Low food sufficiency (P value=0.02), Getting SFP support (P value=0.05)

III-Statically slight significant association of AIP with mother education level (P value=0.1), Low food diversity (P value=0. 09), Khat chewing habit (P value=0.087)

IV-Statically non-significant association of AIP with Age of pregnant woman (P value=0.414), Parity (P value=0. 690), pregnancy trimester (P value=0.427), history of using contraceptive (P value=0. 208), Breastfeeding (P value=0.581).

Discussion

The study sample mainly composed of the age category (18-35 Years old) which is the age category commonly using health centers services. Half of them completed secondary schools while illiteracy among them reached 28% which is just exceeding the national Yemeni figure for illiteracy among females at urban areas by 4% [13]. Socio economic levels of study members has been scored as intermediate for 52% and low for 44%, and nearly absence of high level (just 4%) which could be attributed to 2 reasons, the 1st is selecting the sample from public health centers which are usually not used by high class peoples who prefer to use private health sector, and 2nd is the decline of high socio economic level category among the Yemeni peoples during last 10 years due to the Arab spring economic effects [3]. Prevalence of AIP concluded by present study is 55% (N=275), is higher than Yemeni national figure by 15% [13], and equaling the prevalence of AIP in Dhamar governorate according recent Yemeni study [15]. The higher AIP prevalence revealed in the present study compared to national figure could be explained by the 11 years deference between the Yemeni DHS (which had conducted during 2010) and the present study (which had been conducted during 2021 and the economic drawback effects occurred during this period in Yemen.

Regarding determinants of AIP according 15 studies conducted in developing countries from 2000 to 2015, factors such as increased maternal age, low education, high parity, poor socio-economic status, and poor nutritional status have been found as important determinants [16]. Also multi-parity had been also concluded in some studies as AIP determinant [17]. In the present study, high statistically significant decrease of AIP had found associating increased husband education; this could be attributed to the dominant role of the husband in decision taking in Yemeni family. Husband education also found to be significantly associating mother adherence to iron and folic acid (IFAS) treatment at Denbiya district health centers, Northwest Ethiopia [18]. In the present study, also high statically significant decreased tendency of AIP found associating increased level of mother concerned health knowledge, same outputs had been reached by many studies such as study conducted in southern region of KSA [19]. Also low maternal concerned health knowledge had been linked with higher prevalence of AIP in study conducted in Harar town, Ethiopia [20].

Present study revealed high statistically significant association of AIP with low family socio economic level, This is going With outputs of a study of determinants of anemia in women of reproductive age which had been conducted in Sudan, a study of determinants of AIP in Nigeria and AIP study conducted in a tertiary care centers in Karachi; Pakistan [21-23].

Iron loss consequent to excessive menstrual discharge is by far the most frequent cause of iron-deficient anemia [24]. The present study revealed high statistically significant association of AIP with history of over menses. This is supported by outputs of a study conducted on Caucasian women’s aged 20–45 years [25], and according Saudi study, there was significant increase of AIP prevalence among mothers who suffered from menorrhagia [26].

Malaria is one of the primary causes of anemia globally and intestinal helminthes are among common causes of anemia [27], in the present study high statistically significant association of AIP found with history of malaria and intestinal helminthes. There are many supporting studies of these outputs including Sudanese study, and Ethiopian study [28,29].

The present study also had found mid significant association of AIP with post meal tea drinking, most probably due to the inhibitory effect of tannin on iron absorption. Tea drinking had been proved in many studies as a significant determinant of anemia, such as Yemeni study conducted among Hodeida university students, and Saudi study conducted among female university students in Tabuk, Saudi Arabia [30,31].

The present study showed mid significant decreased tendency of AIP associating increased food sufficiency, this is supported by evidence from nationally representative surveys of seven south and southeast Asian countries [32], and AIP study conducted in South Africa [33].

The present study also showed mid significant increased tendency of AIP among mothers getting Supplementary Feeding Programs (SFP) support, which could be understood as they were selected to benefit from SFP programs because they were malnourished, so they were suffering also from anemia, this is supported by results of mentioned above south and south eastern Asian survey [32], and Algerian study which reached significant association of AIP with malnutrition in the 3rd trimester of pregnancy [34].

The present study showed slight significant decreased tendency of AIP associating increased mother education level, These significance also revealed in outputs of many studies including a study conducted at Soba University Hospital, Khartoum State Sudan [28], study conducted in Dhaka city Bangladesh [35] and in findings from Ethiopian health and demographic survey [36]. Also the present study shown slight significant decreased tendency of AIP associating increased food diversity score, this output is supported by study on University Students in Hodeida Province, Yemen [30] and a study in rural Ethiopia [37].

Khat is derived from the fresh leaves and buds of Catha edulis which is very popular in some African countries and Yemen. Recently Khat chewing became common among pregnant women in Yemen [38]. The present study showed slight significant association between Khat chewing and AIP. This is supported by above mentioned Yemeni study conducted among Hodeida university students [30].

No significant association reached in the present study between AIP and the age of pregnant woman, as not reached too in Sudanese study conducted during 2018 [39], and study conducted in Libya [40]. All could make impression of the weakness of the role of the age as a determinant of AIP.

Also parity did not proved according the present study as significant determinant as meeting with outputs of studies conducted in Libya [40] and United Arab Emirates [41], all denoting the role of parity as a determinant of AIP might be hidden by other determinants.

Although, many studies revealed significant association of AIP with the advance in pregnancy trimester such a study conducted in Qatar [42], and Jordan [43], the present study and previous study conducted in in Ghana [44] did not reach this significant link. Controversies in out puts of studies her, could be explained as the physiological effect of advance in pregnancy on Hb which had proved as risk factor in some areas of the world might be compensated by other factors at other areas. Also the significant effect of using contraceptives on decreasing anemia prevalence which reached by Saudi study conducted in Alniaryah province [45], a studies conducted in northern Nigeria [46] and Sri Lanka [47], did not reached in the present study might be due to supposed non enough periods of using contraceptives among users in the present study to protect them against anemia through avoiding monthly blood loss. Also, the present study did not reach significant link for breast feeding with AIP such reported in Iraqi study.

Conclusion

The aim of this study was to assess the prevalence and determinants of AIP in Hodeida city, The study revealed AIP prevalence in Hodeida city as 55%, and the study revealed that, (couple education, mother concerned health knowledge, suffering from over menses, family socioeconomic level, food sufficiency and diversity, Malnutrition, Khat chewing habit and post meal tea drinking), all found as statistically significant determinants of AIP, while no significant association found with (mother age and parity, pregnancy trimester, breastfeeding and using contraceptives).

Ethical Approval

The proposal for this research was approved by community and family medicine department in Faculty of medicine at Gezira University, Sudan, as a part of proposal for PhD degree. Research had approved by research ethics committee at Yemen University, Yemen.

Conflicts of Interest

The authors declare no conflict of interest.

Acknowledgement

High gratitude for directors at Hodeida health office, concerned districts health offices, and health centers for their support and cooperation. Special thanks to midwifes at health centers in Hodeida city for their nice work during field work.

References

Author Info

Nabil M. H. Gonaid1*, Salwa El-Sanousi2 and Hussien Kadi3
 
1Community Medicine Department, Hodeida University, Hodeida, Yemen
2Community and Family Medicine Department, Gezira University, Gezira, Sudan
3Pharmacology and Therapeutics Department, Sana’a University, Sana’a, Yemen
 

Citation: Gonaid HNM, El-Sanousi S, Kadi H (2022) Prevalence and Determinants of Anemia during Pregnancy at Hodeida city (Yemen) during the year 2022. Reproductive Sys Sexual Disord. 11: 306.

Received: 03-Jan-2022, Manuscript No. RSSD-22-306; Editor assigned: 06-Jan-2022, Pre QC No. RSSD-22-306 (PQ); Reviewed: 20-Jan-2022, QC No. RSSD-22-306; Revised: 24-Jan-2022, Manuscript No. RSSD-22-306 (R); Published: 31-Jan-2022 , DOI: 10.35248/ 2161-038X.22.11.306

Copyright: © 2022 Gonaid HNM. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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