Journal of Hematology & Thromboembolic Diseases

Journal of Hematology & Thromboembolic Diseases
Open Access

ISSN: 2329-8790

+44 1478 350008

Research Article - (2021)Volume 9, Issue 5

The Prevalence of Iron Deficiency Anemia and its Associated Risk Factors among a Samples of Primary Schools Students in Burao City, Somaliland

Saeed Ahmed, Yusuf Ahmed and Abdullah Al-Mamari*
 
*Correspondence: Abdullah Al-Mamari, Department of Medicine & Health Science, Burao University, Somalia, Tel: 00252-636444652;, Email: ,

Author info »

Abstract

Background: Anemia is a global public health problem affecting the majority of the population of the world in both developed and developing countries with major consequences on human health as well as social and economic development. It is the world's second leading cause of disability of the whole global disease burden. It affects 1.62 billion (24.8%) of the population among them it is affecting 305 million (25.4%) school age children (SAC).

Objectives: The main objective of this study was assess prevalence and factors associated with anemia among schoolage children in primary schools in Burao city, Somaliland, 2020.

Materials & Methods: A school based cross sectional study design was done in four primary schools in Burao, Somaliland. About 285 school age children with in the age group between 6-14 years were selected with respondent rate of 93.4%. Random sampling was used to select schools and systemic random sampling used to identify children from the selected schools. Sociaodemographic data was collected by using questionnaire & interview of respondents in addition to anthropometric measurement, hemoglobin measurement and stool examination. Complete Blood Counting (CBC) was used to determine the mean corpuscular (kor-PUS-kyu-lar) volume (MCV) and hematocrit (HMC) levels to detect of hemoglobin status of the children. Data was entered and analyzed using SPSS statistical software for Windows version 21. Anthropometric data was analyzed using WHO Anthro Plus. Bivariate logistic regression and multivariable logistic regression were used to identify independent predictors of anemia in-school adolescent girls. Statistical significance was set at p<0.05.

Results: A total of 285 school age children were included in this study. The overall prevalence of anemia was ( 23.1%) (CI: 18.1%, 28.1%) with the mean and standard deviation of (12.7±1.59). Out of the anemic children, 20.4% were mild and 2.3% and 0.4% of them were moderate and severe respectively. Children's from illiterate mothers was (AOR = 2.37; 95%CI: 1.14, 4.94), consuming organ meat less than once a week (AOR = 2.19; 95%CI: 1.05, 4.43) and having parasites on stool were identified as statistically independent associated factors of anemia in school age children's from Burao, Somaliland.

Conclusion: Prevalence of anemia in Burao city, Somaliland primary schools was moderate public health problem in the current study area. Nutrition education, iron folic acid supplementation program, deworming, good hygiene and sanitation are play important role in the prevalence of anemia and we recommend to give them more attention from ministry education and ministry of health in Somaliland.

Keywords

Anemia, Primary Schools, Burao City, Age

Conclusion

This study was intended to identify prevalence and associated factors of anemia among school age children's and out of 285 study subjects, about nearly one quarter of them were at least mild anemic and only one child had severe anemia. Children from illiterate mothers, presence of parasite on stool and not eating organ meat were significantly associated with anemia among school age children.

Acknowledgements

The researchers in this study would like to express about their appreciation and deep gratitude to the presidency of Burao University for their moral supporting also all thank to the Principles and teachers of schools who gave us all facilities and helped us in collecting samples also we highly appreciate the laboratory technicians in Burao university who helped us in diagnosed of clinical samples.

Introduction

Anemia is a disease in which reduced hematocrit or hemoglobin levels lead to hemoglobin (Hgb) diminished oxygen-carrying capacity that does not optimally meet the metabolic demands of the body, as a result of deficiency of one or more essential nutrients , heavy blood loss, parasitic infections and congenital hemolytic diseases [1]. Anemia is a global public health problem affecting the majority of the population of the world in both developed and developing countries with major consequences on human health as well as social and economic development. It is the world's second leading cause of disability of the whole global disease burden [1-3]. It is considered as a public health problem when the hemoglobin (Hb) value is below the population-specific Hb threshold. It can be classified as no, mild, moderate and severe public health problem when the prevalence is ≤4.9%, 5.0-19.9%, 20.0-39.9%, and ≥40%, respectively [4]. It affects 1.62 billion (24.8%) of the population among them it is affecting 305 million (25.4%) school age children (SAC) [5]. Despite implementation of control programs including iron supplementation, deworming and insecticide-treated bed net distribution, and anemia remains a major global concern in child health, especially in SSA [6]. While it may be difficult to separate the effects of anemia (low hemoglobin (Hb)) from those of its underlying biological mechanisms (eg, nutritional deficiencies, chronic infections, heamoglobinpathoies), anemia has been independently associated with overall increased mortality in young children's [7-13]. Several international studies have examined the role of demographic, social, environmental and geographic determinants of anemia as significant risk factors for childhood anemia [14-16]. Blood loss such as that associated with schistosomiasis, hookworm infestation, hemorrhage in childbirth, and trauma, can also result in both iron deficiency and anemia. Lastly, as with vitamin A deficiency, inhibition of the normal metabolism of iron can result in anemia [9,10]. Despite the high prevalence and adverse health consequence reported internationally, there have been limited national representative findings on the prevalence and factors contributing for the development of anemia in SC, particularly in the study area. Anemia has been shown to contribute to mortality; a recent metaanalysis of nearly 12,000 children from six African countries aged 28 days to 12 years indicates that for each 1 g/dL increase in Hb, the risk of death falls by 24%. Therefore, the present study was carried out as first study and aimed to determine the prevalence of Iron Deficiency Anemia and its associated risk factors among a samples of primary schools students in Burao city, Somaliland. To identify the relationship between anemia and BMI of the schoolage children in primary schools in Burao city, Somaliland, 2020 and identify intestinal parasitic infections related.

Materials and Methods

A school based cross sectional study design was done in four primary schools in Burao city, Somaliland. About 285 school age children with in the age group between 6-14 years were selected with respondent rate of 93.4%. Random sampling was used to select schools and systemic random sampling used to identify children from the selected schools. Sociaodemographic data was collected by using questionnaire & interview of respondents. Complete Blood Counting (CBC) was used to determine the hemoglobin status of the children. Students (senior lab students) collected blood and bring it to the University of Burao laboratory to analysis them where CBC machine is available. Anemia was defined as Hb<11.5g/dl for SC aged 6-11years, and Hb<12g/dl for children aged 12-14years.These verity of anemia were categorized as mild (Hb between 10 and 11.4g/dl for 6 to11years, and between 10 and 11.9g/dl for 12 to 14years), moderate (Hb between 7 and 9.9g/dl), and severe (Hb<7g/dl) for 6 to 14 years of age SC based on the adjusted Hb concentration recommended by the WHO scheme [11]. Stool examination also done from each participants in the present study, fresh stool samples was collected following the SSSstandard operating procedures (SOPs) in clean and labeled leak-proof stool cups. The stool specimens was transported in screw-capped cups in 10% formalin to the laboratory. Intestinal helminthes was detected microscopically by direct saline wet mount Preparation and formol-ether concentration method within 2-8 hours after collection at the University of Burao, Biomedical and Laboratory Sciences Laboratory. Data was entered and analyzed using SPSS statistical software for Windows version 21. Anthropometric data was analyzed using WHO Anthrop Plus. Bivariate logistic regression and multivariable logistic regression were used to identify independent predictors of anemia inschool adolescent girls. Statistical significance was set at p<0.05.

Results

To determine the associated socio-demographics factors of anemia, bivariate logistic regression was done and based on that analysis year of studying (grade) and education of children’s mothers were associated with anemia using the P value less than 0.25. Children in class year (grade) between 1-4 were more likely to be anemic (COR = 2.12; 95% CI: 1.09, 4.12) and children from illiterate mothers were more likely to be anemic (COR = 3.30; 95% CI: 1.80, 6.05) (Table 1). Using mosquito nets and current stool examination were also associated with anemia with P-value less than 0.25.

Variable Categories Hemoglobin status Crude Odds Ratio 95% CI P- value
Anemic Cases Normal Cases
Age of the child 6-11 years 38 (14.4%) 132 (50.2%) 0.87 (0.48, 1.58) 0.662
12-14 year 23 (8.7%) 70 (26.6%) 1  
Sex of the child Male 23 (8.7%) 70 (26.5%) 1.15 (0.63, 2.08) 0.644
Female 38 (14.4%) 133 (50.4%) 1  
Class of studying 01-Apr 47 (17.9%) 123 (46.9%) 2.12 (1.09, 4.12) 0.025*
05-Aug 14 (5.3%) 78 (29.8%) 1  
Name of the school Sheikh Ibrahim 25 (9.5%) 72 (27.3%) 0.76 (0.35, 1.67) 0.508
Mustaqbal 12 (4.5%) 74 (28.0%) 0.35 ( 0.14, 0.36) 0.022
21-Nov 10 (3.8%) 26 (9.8%) 0.85 (0.32, 2.23) 0.744
Candlelight 14 (5.3%) 31 (11.7%) 1  
Family size ≤6 14 (5.3%) 34 (13.0%) 1.46 (0.72, 2.95) 0.288
˃6 47 (17.9%) 167 (63.7%) 1  
Education of the father Illiterate 7 (2.7%) 28 (10.8%) 0.80 (0.33, 1.95) 0.634
Literate 53 (20.5%) 171 (66%) 1  
Education of the mother Illiterate 30 (11.7%) 47 (18.4%) 3.30 (1.80, 6.05) 0.000*
Literate 29 (11.3%) 150 (58.6%) 1  
Occupation of the mother Housewife 44 (17.2%) 141 (55.1%) 1.16 (0.60, 2.26) 0.652
Employed 15 (5.9%) 56 (21.9%) 1  
Occupation of the mother Unemployed 9 (3.4%) 29 (11.0%) 1.03 (0.46, 2.33) 0.927
Employed 52 (19.7% ) 174 (65.9%) 1  

Table 1: Distributions of bivariate logistic regression about socio-demographic factors of school age children with and without anemia in public schools in Burao, Somaliland, 2020 (n=285).

Children who use mosquito nets were associated with anemia (COR = 1.51; P- value 0.167; 95% CI: 0.84, 2.71). Children who had parasites in their stool were more likely to be anemic (COR = 4.22; 95% CI: 1.08, 16.38) (Table 2).

Variable Categories Haemoglobin status Crude Odds Ratio 95% CI P- value
Anemic Normal
Infected with malaria in the last three months Yes 15 (5.7%) 42 (16.1%) 1.22 (0.62, 2.40) 0.553
No 46 (16.8%) 158 (60.5%) 1  
Diagnosed with intestinal parasite in the last three months Yes 9 (3.4%) 37 (14.1%) 0.77 (0.34, 1.70) 0.522
No 52 (19.8%) 165 (62.7%) 1  
Use mosquito nets Yes 38 (14.4%) 106 (40.2%) 1.51 (0.84, 2.71) 0.167*
No 23 (8.7%) 97 (36.7%) 1  
Use of insect sides Yes 28 (10.6%) 109 (41.4%) 0.72 (0.40, 1.28) 0.27
No 33 (12.5%) 93 (35.4%) 1  
Source of water Pipe 49 (18.9%) 160 (61.8%) 0.97 (0.47, 2.00) 0.934
Water tanker truck 12 (4.6%) 38 (14.7%) 1  
Current stool examination Parasite seen in stool 8 (3.8%) 3 (1.4%) 4.22 (1.08, 16.38) 0.037*
No parasite is seen in stool 43 (20.7%) 154 (74.0%) 1  

Table 2: Distribution of bivariate logistic regression about history of parasites, prevention of malaria and source of water of school age children with and without anemia in public schools in Burao city, Somaliland, 2020 (n=285).

Seven independent variables were significant on bivariate binary logistic regression with p value of <0.25 and all were entered into the multivariate logistic regression models to identify independently associated factors with anemia after controlling confounding factors with P value <0.05. Accordingly, education of children’s mother, average use of organ meat and stool examination were identified as statistically independent associated factors of anemia. Children from illiterate mothers were 2.37 times more likely to be anemic than children whose mothers were literate (AOR = 2.37; 95%CI: 1.14, 4.94). Children who consume organ meat less than once a week are 2.16 more likely to be anemic compared to those consume organ meat at least once or more in a week (AOR = 2.19; 95%CI: 1.05, 4.43). Children who had parasites on their stool were 5.21 times more risk to be anemic (AOR = 5.21; 95%CI: 1.10, 24.62) (Table 3).

Variable Categories Haemoglobin status Adjusted Odds Ratio 95% CI P-value
Anemic Normal
Class of studying 01-Apr 47 (17.9%) 123 (46.9%) 1.61 (0.71, 3.67) 0.252
05-Aug 14 (5.3%) 78 (29.8%) 1  
Education of the mother Illiterate 30 (11.7%) 47 (18.4%) 2.37 (1.14, 4.94) 0.020*
Literate 29 (11.3%) 150 (58.6%) 1  
BMI for age Z score Wasted 9 (3.5%) 45 (17.4%) 0.58 (0.22, 1.50) 0.267
Normal 52 (20.1%) 153 (59.1%) 1  
average use of organ meat Less than once a week 35 (13.5%) 85 (32.8%) 2.16 (1.05, 4.43) 0.036*
More than or once a week 25 (9.7%) 114 (44.0%) 1  
average use of flesh meat Less than once a week 23 (8.8%) 48 (18.5%) 1.97 (0.92, 4.22) 0.079
More than or once a week 36 (13.8%) 153 (58.8%) 1  
Use mosquito nets Yes 38 (14.4%) 106 (40.2%) 1.49 (0.71, 3.15) 0.288
No 23 (8.7%) 97 (36.7%) 1  
Current stool examination Parasite seen in stool 8 (3.8%) 3 (1.4%) 5.21 (1.10, 24.62) 0.037*
No parasite is seen in stool 43 (20.7%) 154 (74.0%) 1  

Table 3: Multivariable logistic regression analysis showing factors associated with anemia among school aged children in public schools in Burao, Somaliland, 2020 (n=285).

BMI for age Z score, average use of organ meat and average use of flesh meat were associated with anemia using bivariate logistic regression P- value less than 0.25. Children with low MBI for age (wasting) were associated with anemia (COR = 0.58; 95%: 0.26, 1.28) and children that consume organ meat more than once a week were at high risk of anemia (COR = 1.87; 95% CI: 1.04, 3.37). Children who consume organ meat less than once a week were at high risk of anemia (COR = 1.87; 95%CI: 1.04, 3.37), similarly, children who consume flesh meat less than once a week were also at high risk of anemia (COR = 2.03; 95% CI: (1.10, 3.76) (Table 4).

Variable Categories Haemoglobin status Crude Odds Ratio 95% CI P-value
Anaemic Normal
Height for age Z score Stunted growth 6(2.3%) 15(5.7%) 1.35 (0.50, 3.65) 0.551
Normal growth 55 (55%) 186 (71.0%) 1  
BMI for age Z score Wasted 9 (3.5%) 45 (17.4%) 0.58 (0.26, 1.28) 0.184*
Normal 52 (20.1%) 153 (59.1%) 1  
Average use of fruits Less than once a week 25 (9.6%) 81 (31.2%) 1.13 (0.62, 2.04) 0.682
More than or once a week 33 (12.7%) 121 (46.5%) 1  
Average use of organ meat Less than once a week 35 (13.5%) 85 (32.8%) 1.87 (1.04, 3.37) 0.035*
More than or once a week 25 (9.7%) 114 (44.0%) 1  
Average use of flesh meat Less than once a week 23 (8.8%) 48 (18.5%) 2.03 (1.10, 3.76)* 0.024*
More than or once a week 36 (13.8%) 153 (58.8%) 1  
Average use of flesh meat Less than once a week 33 (13.0%) 104 (40.9%) 1.23 (0.67, 2.23)* 0.496
More than or once a week 24 (9.4%) 93 (36.6%) 1  
Average use of milk and milk products Less than once a week 24 (9.2%) 74 (28.4%) 1.10 (0.61,1.98) 0.741
More than or once a week 37 (14.2%) 126 (48.3%) 1  

Table 4 :- Distribution of bivariate logistic regression about nutrition related factors of school age children with and without anemia in public schools in Burao city, Somaliland, 2020 (n=285).

Children were asked if they infected malaria in the last three months and 58 (20.6%) said yes where 51 (18%) said that they were diagnosed with intestinal parasites in the last three months. About 158 (55.6%) of the children use mosquito nets and 148 (52.1%) use insect sides. Almost 229 (81.8%) of the children get water through pipes and 51 (18.2%) get water through water tanker truck (Table 5).

Variable Categories Frequency Percentage %
Infected with malaria in the last three months Yes 58 20.6
No 224 79.4
Total 282 100
Diagnosed with intestinal parasites in the last three months Yes 51 18
No 233 82
Total 284 100
Use of mosquito nets Yes 158 55.6
No 126 44.4
Total 284 100
Use of insect sides Yes 148 52.1
No 136 47.9
Total 284 100
Type of hand washing practice Only water 23 8.1
Water with soup 260 91.9
Total 283 100
Source of water Pipe 229 81.8
Water tanker truck 51 18.2
Total 280 100

Table 5:- Distribution of history of parasites, malaria prevention and wash of school age children in public schools in Burao city, Somaliland, 2020 (n=285).

Discussion

The main objective of this study was to assess prevalence and factors associated with anemia among school-age children in primary schools in Burao. According to WHO cut of point, anemia is considered as a public health problem when the prevalence is more than 5% [4]. However, the magnitude of the problem is defined as mild, moderate, and severe when the prevalence is 5.0-19.9%, 20.0- 39.9%, and ≥40%, respectively [4], respectively. Accordingly, 23.1% prevalence of anemia in SC means that the problem is a moderate public health problem in the study area. The prevalence anemia was similar and comparable to study done in Filtu town, Somali region in Ethiopia which identified anemia as 23.6%. The reason for close similarity could be due to their living sitting and culture are very alike [17-19]. Studies done in Cape Verde, China and two studies from Saudi Arabia [Najran and Riyad] had prevalence of anemia of 23.8%, 24.9%, 22.5% and 22.3%, respectively. These studies were in agreement with the current study [20]. The current study had higher prevalence of anemia among school age children compared to studies done in Gonder town in Ethiopia with prevalence of 15.5% [21], 16.2% in Morocco [22] and study from Indonesia with prevalence of 14% [23]. Study done in Cameroon determined prevalence of anemia as 5% which is much lower to this study [24]. On the other hand, this study had lower prevalence of anemia compared to study done in Kazakhstan with prevalence of 27% of anemia in school age children [25]. Similarly, studies from Arba Minch in Ethiopia, North western Uganda, Al-haram Zone in Egypt, Northwest Ethiopia had prevalence of anemia of 37.3%, 34.4%, 38.7% and 33.9%, respectively Studies from rural Upper Egypt, Odisha, and Nigeria had prevalence of anemia of 59.3%, 79% and 82%, respectively. Those studies had much higher prevalence than the current study. Reasons could be that study from rural Upper Egypt had different age group of target population which is 6-18 years and study from Odisha used nonprobability sampling where study done in Nigeria age group of 7-12 years old children which are all different from this study [26- 27].

Maternal education was found to be significantly associated with anemia among school age children. Children whose mothers were illiterate were 2.3 times more likely to be anemic compared to children from literate mothers. The findings of this study is similar to study done in Gonder town in Ethiopia that identified anemia in school age children to be significantly associated with lower maternal education [25]. Study from in Kenitra, Northwest of Morocco also identified significant relationship between maternal education and school age children anemia [26]. Similarly, study done in Northwest Ethiopia determined that children from illiterate mothers were more likely to be anemic [28]. Finally, similar study was done in Rural China’s Elementary Schools that revealed strong association between paternal education and anemia in this age group [22].

The current study found that current intestinal parasite in stool was significant associated with anemia in school age children where children who had parasites on their stool were 5.21 times more risk to be anemic. Similar result was found in study done in Filtu town, Somali region in Ethiopia [19]. Studies from Arba Minch in Ethiopia, rural Upper Egypt and Nigeria identified that parasite on stool was significant associated with anemia in this age group [29]. This study identified that children who consume organ meat less than once a week are 2.16 more likely to be anemic compared to those consume organ meat at least once or more in a week. Studies from Riyadh in Saudi Arabia and Turkey have found that anemia was associated with eating meat [24].

References

  1. Miller DC, Hochberg FH, Harris NL, Gruber ML, Louis DN, Cohen H. Pathology with clinical correlations of primary central nervous system non‐Hodgkin's lymphoma. The massachusetts general hospital experience 1958‐1989. Cancer. 1994 ;15;74(4):1383-1397.
  2. Behin, Anthony, Khe Hoang-Xuan, Antoine F. Carpentier, and Jean-Yves Delattre. "Primary brain tumours in adults." The Lancet 361, 9354 (2003): 323-331.
  3. Ricard D, Idbaih A, Ducray F, Lahutte M, Hoang-Xuan K, Delattre JY. Primary brain tumours in adults. The Lancet. 2012; 26;379(9830):1984-96.
  4. Siasios I, Fotiadou A, Fotakopoulos G, Ioannou M, Anagnostopoulos V, Fountas K. Primary diffuse large B-cell lymphoma of central nervous system: is still surgery an unorthodox treatment? J Clin Med Res. 2015;7(12):1007.
  5. Shenkier, Tamara N, Jean-Yves Blay, Brian Patrick O’Neill, Philip Poortmans, Eckhard Thiel, Kristoph Jahnke, et al. "Primary CNS lymphoma of T-cell origin: a descriptive analysis from the international primary CNS lymphoma collaborative group." Journal of Clinical Oncology 23, 10 (2005): 2233-2239.
  6. Louis, David N., Hiroko Ohgaki, Otmar D. Wiestler, Webster K. Cavenee, Peter C. Burger, Anne Jouvet, et al.The 2007 WHO classification of tumours of the central nervous system. Acta neuropathologica 114, (2007): 97-109.
  7. van der Sanden GA, Schouten LJ, van Dijck JA, van Andel JP, van der Maazen RW, Coebergh JW, Working Group of Specialists in Neuro‐Oncology in the Southern and Eastern Netherlands. Primary central nervous system lymphomas: incidence and survival in the Southern and Eastern Netherlands. Cancer. 2002;94(5):1548-56.
  8. Olson JE, Janney CA, Rao RD, Cerhan JR, Kurtin PJ, Schiff D, et al. The continuing increase in the incidence of primary central nervous system non‐Hodgkin lymphoma: a surveillance, epidemiology, and end results analysis. Cancer. 2002;95(7):1504-10.
  9. Mori Y, Yamamoto K, Ohno A, Fukunaga M, Nishikawa A. Primary central nervous system lymphoma with peripheral nerve involvement: Case report. Cureus. 2019;11(9).
  10. Hong CM, Lee SW, Lee HJ, Song BI, Kim HW, Kang S, et al. Neurolymphomatosis on F-18 FDG PET/CT and MRI findings: a case report. Nucl Med Mole imaging. 2011;45(1):76-8.
  11. Vetter M, Tzankov A, Engert A, Mehling M, Herrmann R, Rochlitz C. Hodgkin’s lymphoma and paraneoplastic phenomena in the central nervous system: a case report and review of the literature. Case Report Oncol. 2011;4(1):106-14.
  12. Airaghi L, Greco I, Carrabba M, Barcella M, Baldini IM, Bonara P, et al. Unusual presentation of large B cell lymphoma: a case report and review of literature. Clini Lab Haematol 2006;28(5):338-42.
  13. Canh NX, Van Tan N, Tung TT, Son NT, Maurea S. 18F-FDG PET/CT in Neurolymphomatosis: Report of 3 Cases. AOJNMB. 2014;2(1):57.
  14. Vetter M, Tzankov A, Engert A, Mehling M, Herrmann R, Rochlitz C. Hodgkin’s lymphoma and paraneoplastic phenomena in the central nervous system: a case report and review of the literature. Case Reports Oncol. 2011;4(1):106-14.
  15. Bower, Kathryn, Nilay Shah. "Primary CNS Burkitt lymphoma: a case report of a 55-Year-old cerebral palsy patient." Case Reports in Oncol Medi 2018.
  16. Deng, Yilun, Bi Zhao, Bing Wei, Shihong Zhang, and Ming Liu. "Parotid carcinoma following chronic lymphocytic inflammation with pontine perivascular enhancement responsive to steroids: a case report." BMC Neurology 21, 1 (2021): 1-5.
  17. Gutema B, Adissu W, Asress Y, Gedefaw L. Anemia and associated factors among school- age children in Filtu Town , Somali region , Southeast Ethiopia. 2014;14(1):1–6.
  18. Onis Md, Onyango AW, Borghi E, Siyam A, Nishida C, SiekmannJ. Development of a WHO growth reference for school-aged children and adolescents. Bulletin of the WHO. 2007; 85 (9).
  19. Semedo MRL, Santos MMAS, Baião MR, Luiz RR, GV da Veiga. Anemia and Associated Factors Among School-Age Children In Cape Verde, West Africa. African Afr. J. Food Agric. Nutr. Dev.. 2014. 14(7).
  20. Renfu Luo, Linxiu Zhang, Chengfang Liu, Qiran Zhao, Yaojiang Shi, Grant Miller, et al. Anemia among Students of Rural China’s Elementary Schools: Prevalence and Correlates in Ningxia and Qinghai’s Poor Counties. J Health Popul Nutr 2011 ;29(5):471-485.
  21. Aedh A, Elfaki N, Sounni E. Iron Deficiency Anemia and Associated Risk Factors among Teenagers in Najran, Saudi Arabia Int J Med Sci Public Health, 2019, 8(5): 108-114.
  22. Gad A, Al-Quaiz J, Khoja T, As-Sharif A. Anemia among Primary School Children (5 -12 years) in Riyadh Region, Saudi Arabia: A Community-Based Study. The Can. J Clin Nutri 2013;1(1).
  23. Getaneh Z, Enawgaw B, Engidaye G, Seyoum M, Berhane M, Abebe Z, et al. Prevalence of anemia and associated factors among school children in Gondar town public primary schools, northwest Ethiopia: A school based cross-sectional study. PLoS ONE;2017; 12(12):
  24. Achouri Y Aboussaleh, Sbaibi R, Ahami A, M. El Hioui. Prevalence of Iron Deficiency Anemia Among School Children in Kenitra, Northwest of Morocco. Pak J Biol Sci ;2015;18 (4): 191-195.
  25. Andriastuti M, Ilmana G, Nawangwulan S, Kosasih K. Prevalence of anemia and iron profile among children and adolescent with low socio-economic status. International Pediatr Adolesc Med 7 2020; 88-92.
  26. Tabi E, Cumber S, Juma K, Ngoh E, Akum E, Eyong E. A cross-sectional survey on the prevalence of anemia and malnutrition in primary school children in the Tiko Health District, Cameroon. Pan African Med J. 2019;32:111.
  27. Hashizume M, Chiba M, Shinohara A, Iwabuchi S, Sasaki S. Anemia, iron deficiency and vitamin A status among school-aged children in rural Kazakhstan. Public Health Nutrition: 8(6), 564–571.
  28. Tariku E, Abebe G, Melketsedik Z, Gutema B, Megersa N, Sorrie M. Anemia and its associated factors among school-age children living in different climatic zones of Arba Minch Zuria District, Southern Ethiopia. BMC Hematology (2019) 19:6.

Author Info

Saeed Ahmed, Yusuf Ahmed and Abdullah Al-Mamari*
 
Department of Medicine & Health Science, Burao University, Somalia
 

Citation: Ahmed S, Ahmed Y, Al-Mamari A (2021) The Prevalence of Iron Deficiency Anemia and its Associated Risk Factors among a Samples of Primary Schools Students in Burao City, Somaliland. J Hematol Thrombo Dis 9:431. DOI: 10.24105/2329-8790.2021.9.431

Received: 05-Mar-2021 Accepted: 20-Mar-2021 Published: 26-Mar-2021 , DOI: 10.35248/2329-8790.21.9.431

Copyright: © 2021 Dr. Abdullah Al-Mamari, et al. 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.

Top