Abstract
Objectives
To estimate anemia prevalence and risk factors among adolescent females in Beni-Suef Governorate.
Methods
A population-based cross-sectional mixed quantitative and qualitative survey was conducted among 1000 adolescent females in the seven Beni-Suef governorate, Upper Egypt districts from November 2023 to March 2024. A structured questionnaire including socio-demographic and menstrual history was used. Focus group discussions (FGD) were conducted to assess their awareness. Hemoglobin testing was performed on the participants, and the diseased ones were treated.
Results
Anemia is highly prevalent among adolescent females in the Beni-Suef governorate (35.8 %). Residence (Adjusted OR=0.652, 95 % CI:0.439–0.970), and daily number of pads (Adjusted OR=1.208, 95 % CI:1.006–1.451) were found to be statistically significant risk factors for anemia in adolescent females.
Conclusions
Anemia is highly prevalent among adolescent females. Early assessment and management of anemia is highly recommended. Nutritional interventions such as food fortification, supplementation, and nutrition education should be provided. Micronutrient supplementation programs should be implemented in all basic schools, and extensive nutrition awareness initiatives should be implemented for adolescent females and caregivers.
Background
Anemia is recognized as a global public health issue, particularly in low- and middle-income countries [1]. Adolescents are recognized as a vulnerable population regarding anemia. This age group’s vulnerability is often attributed to the increased physiological demands for micronutrients (such as iron and folic acid) that accompany rapid physical growth, as well as to the micronutrient losses that may be caused by intestinal parasitic infestations, especially in developing countries [2]. Moreover, anemia is usually the result of malnutrition. Adolescent females, women of childbearing age, pregnant women, and children in developed and developing countries are more vulnerable to anemia [3].
The World Health Organization (WHO) defines adolescents as those aged 10–19 [4]. Adolescent females are more likely to suffer from anemia due to monthly blood loss and, in the event of a teenage pregnancy, which is still prevalent in certain underdeveloped nations. In contrast, males tend to recover their nutritional reserves by the end of adolescence [5].
Impaired development, decreased physical fitness, and an increased risk of infection are all possible outcomes of anemia in teenagers. A child’s cognitive development, school attendance, and performance may all be negatively impacted by anemia, which hinders their academic accomplishment and future labor productivity [6]. This is in addition to the detrimental effects on physical growth and health status [7]. The risk of maternal and neonatal mortality [8], 9], low birth weight child delivery [10], and birth difficulties [11] may be increased in pregnant adolescents with anemia. Thus, anemia is a problem for developing communities, not only for today’s teenagers [11].
Worldwide, 15 % of adolescents suffer from anemia. However, this number drops dramatically to 6 % in industrialized nations, but can be as high as 47 % in less privileged countries. Anemia affects anywhere from 14 % to 42 % of children and adolescents in the Middle Eastern area [12]. The substantial disruptions in health and food systems in low-income nations and humanitarian circumstances may worsen anemia’s burden [13].
Anemia is a significant health concern in Egypt, affecting many children, adolescents, and women. Studies examining the prevalence of anemia among different age groups or cohorts in Egypt have reported inconsistent results. However, most of these studies indicate that Egyptian children and females are more likely to suffer from anemia. A national survey conducted in the year 2000 revealed that 46.6 % of Egyptian adolescent females were anemic [14]. Another study conducted in the northern Delta region of Egypt in 2007 showed that iron deficiency anemia is prevalent among 47 % of women in the reproductive age group 15–49 years and 54 % of adolescent females aged 10–19 years [15].
The National Nutrition Institute in Egypt (NNI) conducted a baseline survey on IDA among several country regions in 2010. It concluded that 35 % of the school children are anemic, as well as 35.7 % of the adolescents. The incidence was highest among school children in Lower Egypt (55.7 %) and among adolescents in Greater Cairo (52 %). The study could not find a difference between the incidence in rural and urban regions [16]. A recent study of the Egyptian Family Health Survey conducted by CAPMAS reported that 43 % of Egyptian children aged 6 months to 6 years suffer from anemia. The World Bank estimated that 28.5 % of Egyptian women in the reproductive age of 15–49 years were anemic in the year 2016 [17].
The current research is a collaboration project between the Egyptian Family Health Society (EFHS) in the Beni-Suef governorate and the Embassy of the Netherlands. The project aims to promote rural adolescent females’ health, well-being, and social status in the governorate. Anemia has been pointed out to be a significant health concern among these adolescent females. EFHS felt a great need to address the issue of combating anemia among the females in the Beni-Suef governorate. The Society implemented a program to provide comprehensive services to these females and help promote their general and reproductive health. The objectives of the current research were estimating the prevalence of anemia among adolescent females in Beni-Suef Governorate, and exploring the risk factors associated with iron deficiency anemia among the studied participants, The study aimed also at assessing awareness about anemia and its negative consequences among participants in Beni-Suef Governorate through focus group discussions and treating 1000 adolescent females from the governorate who might be suffering from anemia.
Subjects and methods
Study design and settings
A population-based cross-sectional mixed quantitative and qualitative survey was conducted among adolescent females in the Beni-Suef governorate, Upper Egypt districts from November 2023 to March 2024. Beni-Suef is a governorate located in Upper Egypt that has seven districts.
Study population
Adolescent females in Beni-Suef governorate.
Inclusion criteria
Adolescent females aged 10–19 years who are non-smokers, free from chronic diseases, and who received a prophylactic broad-spectrum anti-helminthic treatment six months before the study as part of the Egyptian MOH program for school children.
Exclusion criteria
Females received hematinic factors such as iron, vitamin B12, and folate for three months and anti-helminthic medication two weeks before the study.
A recent surgery was performed within the last 6 months before the study.
Females receive long-acting medical treatments such as insulin and antipsychotic drugs.
Sample size determination and sampling technique
The Epi-Info version 3 Stat Calc, developed by the Centers for Disease Control and the World Health Organization, was used to determine the sample size based on the following criteria: A total of 125,000 females were used to calculate the sample size, with an anticipated anemia prevalence of 50 %, a 95 % confidence level, a design effect of 1.0, and a 5 % margin of error. A minimum of 384 participants were needed for the study. The number of participants was raised to 1000 to make the research more representative.
The sampling technique was a multistage random sampling technique. First, from five districts of the Beni-Suef governorate, one rural village and one urban area were chosen randomly, while 2 urban areas and one rural area were selected from the more populated districts of Beni-Suef and El-Fashn. Second, random samples were chosen from each selected area school girls’ sample frame until the required sample number was recruited. The third stage was the sample selection for the qualitative part of the study, which included conducting in-person focus group discussions (FGDs) with groups of adolescent females aged 10–19 years living in rural areas in the seven districts of Beni-Suef Governorate.
A total of 16 FGDs were conducted from November 3rd, 2023, to December 17th, 2023, and attended by 157 females.
Data collection tools and methods
A structured questionnaire was used for data collection through face-to-face interviews, including socio-demographic data such as age, residence, family size, parents’ education, and occupation. The questionnaire also included questions about the symptoms of anemia, and dietary and menstrual history. Laboratory results were obtained and recorded using participants’ identification codes on the Excel sheet.
Anemia was defined as a blood hemoglobin level<12 g/dl according to WHO, 2023 [1].
Blood sampling and testing
The randomly selected adolescent girls were given a pre-coded blood examination request directed to the Laboratory in Beni Suef that had been contracted with. The girls were also given a printed approval form to be signed by their guardians and handed to the laboratory before getting their blood tested. Adolescent girls used to go to the laboratory whenever convenient for them and request blood testing as indicated in the request form provided to them.
Blood samples were collected by withdrawing 2–3 mL of blood through an intravenous blood cannula and collected in EDTA-containing tubes. The laboratory used the Sysmex Hematology Automated Analyzer machine to test for a complete blood picture (CBC).
Focus group discussion (FGD)
The focus group discussion was the second data collection phase (the guidance was adapted from a prior publication [18]. Adolescent females who had previously completed the questionnaire for the quantitative part were invited to participate in the FGDs. Each FGD consisted of 8–12 adolescent females and lasted roughly 60 min. Of course, the discussions were in colloquial Arabic but occasionally resorted to classic Arabic whenever needed. All FGDs were facilitated by competent research assistants and supervisors. Sixteen focus group discussions were conducted, with 157 adolescent females. The primary topics of the FGD guidance were (a) participants’ perceptions of what anemia is and its symptoms, (b) those at greater risk of being anemic, and (c) causes of anemia. (d) Ways of diagnosing anemia. (e) The possible implications of anemia, (f) iron sources, and (g) how we could avoid being anemic. The research assistants were trained in the ethics of the moderation and facilitation of FGDs. A guide was developed and pre-tested with adolescent females before the data collection. The rationale for the pilot was to offer research assistants experiential training in FGDs, assess responses to the questions, and adapt the FGD guide based on the findings. All FGDs were audio recorded with participants’ permission.
Data processing, analysis, and interpretation
All information was double-checked for accuracy and missing values. Qualitative analysis was performed to convey the outcomes of the focus group conversation. After the data was cleaned, quantitative analysis was carried out. Statistical Package for the Social Sciences, version 24, was used to analyze the data. Frequency and percentage were used to describe the qualitative variables. The quantitative variables were defined using the mean and standard deviation, denoted as mean ± SD The chi-square (χ2) test was used to compare qualitative variables. The Student’s t-test of two independent samples was used to compare quantitative variables. A multivariable logistic regression model was utilized to detect the risk factors associated with anemia among the study participants. Statistics were deemed significant when the p-values were less than 0.05.
Ethical considerations
The REC-FM at Beni-Suef University (no. FMBSUREC/03102023/Wahba) approved the study protocol. The parents or legal guardians of the adolescent females included in the study provided written consent for their daughters’ participation after being individually briefed about the potential benefits and risks of the study. Females capable of giving their consent also approved their participation alongside their guardians. All data collection, analysis, and entry used participant codes to ensure privacy. Only the study investigator and data collector had access to the study data. Females who tested positive for anemia were contacted and referred to appropriate medical care. All anemic adolescent females received a 3-month course of ferrous sulfate (200–300 mg once daily), and we followed them for an additional 6 months using standardized labs.
Results
The study enrolled 1000 adolescent females from the seven Beni-Suef districts. These females were tested for anemia by conducting a complete blood count. The prevalence of anemia among participants was 35.8 %. The most frequently reported symptoms were dizziness (51.1 %), headache (50.6 %), lack of concentration (45.3 %), and dyspnea (34.2 %), Table 3.
The study participants were asked about their previous history of anemia. More than half of them (505 out of 1000) reported that they had earlier been told to be anemic (50.5 %). 366 of them (72.5 %) said they were told so by physicians and 48.5 % had been tested earlier for anemia. These previous blood tests had been requested by physicians in the case of 86.9 % of the studied females. However, only 16.2 % of the females who had been previously tested for anemia remembered their test results and said that they were only told to be anemic.
Blood testing of the studied females showed their mean Hemoglobin (HB) content was 12.2 g/dl, with a standard deviation of 1.02, and values ranging from 7.7 to 15.5. Their Hematocrit (HCT) value showed a mean of 36.2 %, a standard deviation of 2.60, and a range from 25.8 to 47.6 %. The red blood cell (RBC) count had a mean of 4.66 million cells/mcl, a standard deviation of 0.45, and a range from 3.09 to 8.96 million cells/mcl. The mean corpuscular volume (MCV) was 77.8 fl, with a standard deviation of 6.5 and a range from 44.9 to 91.5 fl. The mean corpuscular hemoglobin (MCH) was 26.4 pg, with a standard deviation of 2.91 and a range of 15.4–38.3 pg. The mean corpuscular hemoglobin concentration (MCHC) showed a mean of 33.8 g/dL, a standard deviation of 1.73, and a range from 23.1 to 45.8 g/dL. Red cell distribution width (RDW) had a mean of 13.6 %, with a standard deviation of 1.62, and a range from 10.1 to 32.9 %.
Based on the blood hemoglobin level, participants were divided into two groups: anemic (HB) and non-anemic (HB) (according to the WHO definition of anemia, be less than 12 g/dl). This was utilized to assess the risk factors associated with anemia. Age (p=0.014), residence (p<0.001), participant education (p=0.039), mother education (p=0.033), and daily number of pads (p=0.010) were found to be significantly different among anemic and non-anemic females, Tables 1 and 2.
Socio-demographic characteristics of the studied participants concerning anaemia status.
Items | Total (n=1,000) | Non-anemic (no=642) | Anemic (no=358) | p-Value |
---|---|---|---|---|
n (%) | n (%) | n (%) | ||
Age (mean ± SD) | 14.2 ± 3.1 | 13.9 ± 3.0 | 14.5 ± 3.1 | 0.014* |
Residence Rural Urban |
634 (63.4) 366 (36.6) |
433 (67.4) 209 (32.6) |
201 (56.1) 157 (43.9) |
<0.001* |
Participant education Primary Preparatory Secondary University |
368 (36.8) 258 (25.8) 177 (17.7) 197 (19.7) |
252 (39.3) 170 (26.5) 107 (16.7) 113 (17.5) |
116 (32.4) 88 (24.6) 70 (19.6) 84 (23.4) |
0.039* |
Mother education Illiterate Primary/preparatory Secondary University |
320 (32.0) 115 (11.5) 438 (43.8) 127 (12.7) |
215 (33.5) 81 (12.6) 277 (43.1) 69 (10.8) |
105 (29.3) 34 (9.5) 161 (45.0) 58 (16.2) |
0.033* |
Father education Illiterate Primary/preparatory Secondary University |
246 (24.6) 134 (13.4) 479 (47.9) 141 (14.1) |
166 (25.9) 88 (13.7) 309 (48.1) 79 (12.3) |
80 (22.3) 46 (12.8) 170 (47.5) 62 (17.3) |
0.145 |
Mother occupation Housewife Working |
842 (84.2) 158 (15.8) |
548 (85.4) 94 (14.6) |
294 (82.1) 64 (17.9) |
0.179 |
Father occupation Not working Clerk Hand worker Free/private work |
105 (10.5) 285 (28.5) 326 (32.6) 284 (28.4) |
68 (10.6) 171 (26.6) 224 (34.9) 179 (27.9) |
37 (10.3) 114 (31.8) 102 (28.5) 105 (29.3) |
0.152 |
Income Not enough Enough |
339 (33.9) 661 (66.1) |
213 (33.2) 429 (66.8) |
126 (35.2) 232 (64.8) |
0.518 |
Number of siblings | 3.2 ± 1.5 | 3.2 ± 1.4 | 0.533 |
-
Statistical analysis was carried out by a Chi-squared test and an independent sample T-test. *p value ≤0.05 is considered statistically significant.
Menstrual and dietary history of the studied participants concerning anemia status.
Items |
Total n (%) |
Non-anemic n (%) |
Anemic n (%) |
p-Value |
---|---|---|---|---|
Menstrual history (n=565) | ||||
Age of menarche (mean ± SD) | 12.9 ± 1.2 | 12.9 ± 1.2 | 12.9 ± 1.3 | 0.864 |
Regularity of menses Regular Delayed Earlier Irregular |
344 (34.4) 46 (4.6) 24 (2.4) 151 (15.1) |
217 (61.5) 26 (7.4) 16 (4.5) 94 (26.6) |
127 (59.9) 20 (9.4) 8 (3.8) 57 (26.9) |
0.818 |
Amount of menses Scanty Huge Ordinary Can’t determine |
64 (11.2) 94 (16.7) 339 (60.1) 68 (12.1) |
39 (11.0) 53(15.0) 221(62.6) 40(11.3) |
24 (11.4) 41 (19.4) 118 (55.9) 28 (13.3) |
0.399 |
Number of pads/day | 2.7 ± 0.8 | 2.6 ± 0.9 | 2.8 ± 1.0 | 0.010* |
Presence of blood clots | 201 (35.6) | 118 (33.9) | 83 (39.9) | 0.154 |
|
||||
Dietary history (n=1,000) | ||||
|
||||
Being on a diet | 21 (2.1) | 15 (2.3) | 6 (1.7) | 0.485 |
A strict vegan | 86 (8.6) | 56 (8.7) | 30 (8.4) | 0.853 |
Having any appetite problems | 341 (34.1) | 219 (34.1) | 122 (34.1) | 0.991 |
-
Statistical analysis was carried out by a Chi-squared test and an independent sample T-test. *p value ≤0.05 is considered statistically significant.
Table 3 revealed that anemic females significantly reported general fatigability (35.8 %) more than non-anemic adolescent females (28.0 %) at p=0.011. While there was no significant difference between the two groups regarding other reported symptoms.
Association between anemia’s different symptoms.
Items | Total No=1,000 (%) | Non-anemic no=642 (%) | Anemic no=358 (%) | p-Value |
---|---|---|---|---|
Headache | 506 (50.6) | 320 (49.8) | 186 (52.0) | 0.522 |
Dizziness | 511 (51.1) | 317 (49.4) | 194 (54.2) | 0.144 |
Excess sweat | 178 (17.8) | 112 (17.4) | 66 (18.4) | 0.695 |
Dyspnea/tachypnea | 342 (34.2) | 216 (33.6) | 126 (35.2) | 0.620 |
Tachycardia | 253 (25.3) | 156 (24.3) | 97 (27.1) | 0.330 |
Generalized fatigability | 308 (30.8) | 180 (28.0) | 128 (35.8) | 0.011* |
Lack of concentration | 453 (45.3) | 282 (43.9) | 171 (47.8) | 0.242 |
-
Statistical analysis was carried out using a Chi-squared test. *p value ≤0.05 is considered statistically significant.
The binary logistic regression analysis identifies factors associated with anemia, focusing on those significant in univariate analysis. Age, education of adolescent females, and mothers’ education show no significant association with anemia (p-values >0.05). However, the rural residence has an important association (OR=0.652 and CI=0.439–0.970). The number of pads also shows a significant association with anemia (OR=1.208 and CI=1.006–1.451) as shown in Table 4.
Unadjusted and multivariate adjusted binary logistic regression analysis for factors associated with anemia (that were significant by univariate analysis):
Independent variables | Unadjusted OR | 95 % C.I.for OR | Adjusted OR | 95 % C.I.for OR | ||
---|---|---|---|---|---|---|
Lower | Upper | Lower | Upper | |||
Age (years) | 1.054 | 1.011 | 1.099 | 1.024 | 0.826 | 1.270 |
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Education | ||||||
|
||||||
Illiterate | 0.619 | 0.433 | 0.886 | 0.254 | 0.039 | 1.668 |
Preparatory | 0.696 | 0.475 | 1.020 | 0.742 | 0.259 | 2.131 |
Secondary | 0.880 | 0.582 | 1.330 | 0.833 | 0.439 | 1.581 |
University | REF | |||||
|
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Residence | ||||||
|
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Rural | 0.618 | 0.474 | 0.806 | 0.652 | 0.439 | 0.970 |
Urban | REF | |||||
|
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Mother education | ||||||
|
||||||
Illiterate | 0.581 | 0.382 | 0.884 | 0.798 | 0.434 | 1.469 |
Primary/preparatory | 0.499 | 0.294 | 0.850 | 0.585 | 0.289 | 1.187 |
Secondary | 0.691 | 0.464 | 1.031 | 0.779 | 0.463 | 1.310 |
University | REF | |||||
Number of pads | 1.254 | 1.053 | 1.492 | 1.208 | 1.006 | 1.451 |
-
CI, confidence interval; OR, odds ratio; REF, reference group.
Table 5 shows the binary logistic regression analysis results stratified by menstruation to control for potential confounders. All independent variables showed no significant association with anemia among groups with and without menstruation, except for rural residence in adolescent females with menstruation (Adjusted OR=0.606, 95 % CI: 0.408–0.900).
Multivariate adjusted binary logistic regression analysis for factors associated with anemia among adolescent females with stratification by menstrual status.
Independent variables | Adolescent females with menstruation | Adolescent females without menstruation | ||||
---|---|---|---|---|---|---|
Adjusted OR | 95 % C.I.for OR | Adjusted OR | 95 % C.I.for OR | |||
Lower | Upper | Lower | Upper | |||
Age (years) | 1.014 | 0.816 | 1.260 | 0.851 | 0.673 | 1.077 |
|
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Education | (University education=REF) | |||||
|
||||||
Illiterate | 0.327 | 0.051 | 2.081 | 0.000 | 0.000 | – |
Preparatory | 0.716 | 0.248 | 2.070 | 0.000 | 0.000 | – |
Secondary | 0.847 | 0.445 | 1.612 | 0.000 | 0.000 | – |
|
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Residence | (Urban=REF) | |||||
|
||||||
Rural | 0.606 | 0.408 | 0.900 | 0.699 | 0.441 | 1.109 |
|
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Mother education | (University education=REF) | |||||
|
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Illiterate | 0.572 | 0.233 | 1.406 | 1.259 | 0.401 | 3.954 |
Primary/preparatory | 0.415 | 0.160 | 1.075 | 0.811 | 0.239 | 2.744 |
Secondary | 0.624 | 0.296 | 1.314 | 1.155 | 0.412 | 3.238 |
|
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Father education | (University education=REF) | |||||
|
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Illiterate | 1.452 | 0.624 | 3.378 | 0.545 | 0.19 | 1.518 |
Primary/preparatory | 1.430 | 0.604 | 3.386 | 0.761 | 0.257 | 2.253 |
Secondary | 1.117 | 0.565 | 2.209 | 0.613 | 0.255 | 1.471 |
|
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Mother occupation | (Working=REF) | |||||
|
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Housewife | 1.154 | 0.666 | 1.998 | 1.043 | 0.478 | 2.278 |
|
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Father occupation | (Private worker=REF) | |||||
|
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Not working | 0.954 | 0.502 | 1.811 | 0.875 | 0.404 | 1.893 |
Clerk | 1.021 | 0.623 | 1.672 | 0.943 | 0.521 | 1.708 |
Hand worker | 0.786 | 0.481 | 1.282 | 0.815 | 0.483 | 1.373 |
Presence of chronic diseases | 0.802 | 0.341 | 1.884 | 0.899 | 0.346 | 2.334 |
Being on a diet | 1.833 | 0.554 | 6.068 | 0.900 | 0.156 | 5.206 |
-
CI, confidence interval; OR, odds ratio; REF, reference group.
Analysis of FGDs
The findings from the FGD were analyzed to explore the participants’ responses to the matters discussed. It was clear from the discussions that there was a profound lack of information about anemia, its symptoms, and causes among the participating females, especially young adolescent females. The majority mentioned that they received no information about it in schools. The participants believed that anemia was widespread, and many stated that they had it and had heard about it. They also mentioned that many of their relatives were suffering from anemia. However, many of them had not heard the term “blood deficiency” before, especially the adolescent females. The Arabic translation of this term is usually referred to when describing anemia for laypeople. It was clear from the discussions that there was a lack of understanding of the nature of anemia and its causes. There was also a mix-up between anemia and other diseases regarding symptoms. Almost all the females agreed that anemia is a disease that should not be underestimated and must be treated.
The participants thought that females are more affected by anemia than males. Still, they could not explain the reasons for that. It was obvious from the discussions that most of the participants did not know about the relationship of anemia to iron deficiency or the sources of iron. Most of the females did not mention Iron from animal sources. However, they mentioned some correct sources of iron from plant sources. Most of the females believed that vegetables and fruits that get brown when exposed to air contain a lot of iron. Many of the females also stated they had felt the symptoms of anemia. Most of them also mentioned that the proper approach to treating anemia is taking medications and getting good nutrition. These results apply to all participants in all groups in all districts and villages where the study was conducted.
Some of the participants’ answers during the FGD, in their own words, were.
“Many of my friends are already anemic; it seems all females are suffering from it.”,
“It seems all the people in the country have anemia.”,
“Anemia is caused by a deficiency in Calcium and Phosphate.”, “We are anemic because of eating spicy food and sweets and drinking tea.”,
Anemia is not an easy issue and may affect the vision.”,
“It is a serious disease, and I hope it will disappear from life”, “The dizziness it causes is fearful and drastic.”,
“It can be transferred to the fetus by the mother.”,
“Anemia is more common among females because they work harder than boys and they face more pressure.”,
“Because of irregular menstruation”,
“Females have “hormones” in their bodies since birth, like jaundice they get after birth.”,
“Females are weak and their immune system is weaker than that of boys”,
“Because of the “dirty” blood of menstruation”,
“I see strange things in front of me like a ball”,
“It causes “water” in the legs”,
“I can’t study”,
“The best source of iron is eggplants (mentioned several times)”, “Many said: Beetroots are full of iron”,
“ Black Honey and bee honey have iron”, and
“Anything that changes its color when cut has iron in it”.
Discussion
The prevalence of anemia among adolescent females in the districts of the Governorate of Beni-Suef in Upper Egypt is 35.8 %. This incidence is considered a moderate public health problem according to the WHO classification of anemia as a problem of public health significance [19]. The prevalence of anemia found in this study is higher than that seen in Angola, 21.6 % [20], Turkey, 8.3 % [21], Ethiopia, 23.02 % [22], Northeastern Brazil, 9.3 % [23], Vietnam, 12.9 % [24], Cameron, 5 % [25], China, 7.4 % [26], Alexandria governorate, Egypt 28.8 % [27]. This could be due to variations in the geographical area, lifestyle, socio-economic norms, and dietary habits and practices. The study setting, sample size, and age group were also included in the study. Moreover, it is higher than the rates reported from the Egyptian Demographic and Health Survey (EDHS) 2014. The proportion of adolescent females with anemia in EDHS 2014 was 13.9 % in the 10–11 age group, 24.5 % in the 12–14 year age group, and 21 % in the 15–19 age group [28].
In contrast, the prevalence rate of anemia in the current study is lower than that found among females in a study conducted at El Minya governorate, Egypt (39.9 %) [29], and Giza governorate, Egypt (53.8 %) [30].
One possible explanation for the increased prevalence of anemia in teenage females is the natural decline in red blood cell count that occurs with menstruation and the beginning of menarche, especially among undernourished females. Furthermore, adolescents naturally experience rapid physical growth that requires more intake of hematinic nutrients like iron, folates, and other elements [22].
The current study supports the previous findings of similar studies that found that anemia was more prevalent among older adolescent females than among females in early adolescence. Anemic females in our study were older than (14.5 ± 3.1) and non-anemic females (13 ± 3.0) at p=0.014. This finding is in line with studies conducted in Bhutan, South Asia [31], in Siaya District, Kenya [32], and Wayu Tuqa District, southwest Ethiopia [33].
Our study’s univariate and binary logistic regression analysis revealed that rural residence is significantly associated with anemia, with an adjusted odds ratio (OR) of 0.652 (95 % CI=0.439–0.970), indicating that individuals in urban areas are more likely to have anemia. These findings disagree with studies conducted in Latin America and Caribbean countries [34] and Kenya [32]. In fact, the high prevalence of anemia among adolescent females residing in urban communities can be attributed to multiple factors, including nutritional, environmental, socio-economic, and biological ones. Urbanization encourages poor eating habits such as skipping meals, low intake of iron-rich foods, and reliance on junk food. These trends are exacerbated by busy lifestyles and a lack of nutritional awareness. Moreover, urban poverty and food insecurity in slum areas restrict access to nutritious food, even though urban settings may offer better market access. Financial constraints lead to the consumption of low-cost, low-nutrient foods, especially among small governorates in low-income countries. In addition, poor sanitation in urban slums raises the likelihood of intestinal parasite infections, such as hookworms, which reduce iron absorption and cause blood loss.
Urban life frequently entails high stress levels, academic demands, and decreased physical activity, all of which can worsen anemia and general health. Higher pollution levels in urban areas can worsen inflammatory diseases, disrupt nutrient metabolism, and have a negative impact on health.
The low educational status of mothers has been linked to a greater risk of anemia in adolescents in a variety of settings and studies [35], 36]. El Sahn et al. [14] stated that the risk of anemia increased significantly with a declined level of education (OR=3.5, 95 % CI: 10.90–6.32). This finding is in contrast to the univariate analysis in our study. A possible explanation for this paradoxical finding is that highly educated females have had no time for healthy food preparation and have had to offer fast food for their children. Although maternal education is considered a protective factor in the literature, it does not always result in the best nutrition and health outcomes unless combined with specialized knowledge on managing and preventing anemia. Busy schedules and scholastic stress, accompanied by higher education, may lead to skipping meals and low food diversity.
However, mothers with little formal education may be unable to read and comprehend food labels [37]. A mother’s nutritional knowledge levels are crucial since they are the primary cook in most homes, impacting food preparation, dietary choices, and family intake. Maternal education level has been demonstrated to affect children’s normal hemoglobin levels [38], so this point is crucial, and both educated and non-educated should gain our attention.
Our data revealed that heavy menstrual bleeding significantly increased the risk of anemia. Females who were anemic changed their pads more frequently (2.8 ± 1.0) than their non-anemic counterparts (2.6 ± 0.9), (Adjusted OR=1.208, 95 % CI:1.006–1.451). Previous research by Fentie et al. [39] suggests that adolescent females who bleed for more than 5 days are more likely to be anemic (Adjusted OR=2.25, 95 % CI: 1.17–4.33). Furthermore, Regasa and Haidar [33] found that menstruation is a statistically significant risk factor for anemia in adolescents. Nevertheless, Ramzi et al. [40] discovered no significant relationship between adolescent menstruation and anemia.
The current survey has many strengths, including a large number of participants, a mix of qualitative and quantitative methods, and the inclusion of anemic participants. However, because the study is cross-sectional, the data should be interpreted cautiously when examining the temporal relationship between socio-demographics, menstrual history, and anemia. We also did not collect information on other health issues, such as family history of thalassemia, malaria infection, helminth infections, etc. Further research in these areas would enhance our understanding; therefore, a detailed investigation of anemia causes is crucial to identify the most effective prevention strategies. Another limitation is that anemia was defined solely based on hemoglobin levels, which prevents differentiation between anemia types. Additionally, the study did not evaluate participants’ body mass index, physical activity, or sleep patterns.
Conclusions
Anemia among adolescent females in Upper Egypt continues to be a public health concern. Residence and the number of pads were revealed as statistically significant risk factors for anemia in adolescent females. School-based health education has the potential to help eradicate undernutrition and unawareness among adolescent females. Nutrition education should also be extended to the parents through the rural health units and mass media. Effective nutritional interventions such as food fortification and supplementation should be provided to prevent anemia and its adverse effects on adolescent females’ academic performance, productivity, and overall growth. With extensive training and efficient monitoring, micronutrient supplementation programs should be implemented in all primary schools. Healthcare providers should be trained and motivated to implement early intervention for diagnosing and managing iron deficiency anemia among children and adolescents. Integrating these interventions into the existing public health programs and evaluating their long-term outcomes is mandatory.
Limitations
This study has some limitations that must be considered when interpreting the findings. First, its cross-sectional design prevents establishing causal relationships between identified risk factors and anemia. Second, anemia was defined solely based on hemoglobin levels, without differentiation of underlying causes such as iron deficiency, hemoglobinopathies, or chronic infections.
Public health implications and perspectives
The high prevalence of anemia among adolescent females in Upper Egypt highlights a critical public health concern with immediate and long-term implications. Anemia during adolescence not only compromises growth, cognitive development, and academic performance but also increases the risk of complications in future pregnancies, contributing to intergenerational cycles of poor health. The findings underscore the urgent need for comprehensive prevention and control strategies. School-based programs represent a practical entry point, incorporating routine screening, iron and folic acid supplementation, and targeted nutrition education. Community-level strategies should complement these efforts through food fortification initiatives, improved access to affordable iron-rich foods, and awareness campaigns that engage adolescents and caregivers. The higher prevalence observed in urban residents suggests that interventions must address changing dietary patterns, reliance on fast foods, and hidden forms of poverty in urban settings.
Furthermore, menstrual health education is essential, as heavy menstrual bleeding was identified as a significant risk factor. Empowering adolescent females with knowledge about normal vs. abnormal menstrual patterns and the importance of seeking medical advice can reduce undiagnosed anemia. From a policy perspective, integrating adolescent anemia prevention into national nutrition and reproductive health agendas, supported by robust monitoring and evaluation systems, is crucial. Addressing anemia at this life stage is an investment in improving adolescent well-being, maternal health, and overall community development.
Funding source: Egyptian Family Health Society, Egypt
Acknowledgments
We acknowledged all participants.
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Research ethics: Prior the conduction of the study, its protocol was approved by FMBSUREC number FMBSUREC /03102023/ Wahba.
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Informed consent: Was obtained from all participants (when they are able to consent) and their guardians.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission. The authors contributed to the study as follows: Mamdouh and Manal were responsible for the conceptualization; Doaa handled data curation and formal analysis; the investigation was conducted by Gehad, Doaa, and Mamdouh; methodology was developed by Mamdouh, Tamer, Manal, Gehad, and Doaa; resources were provided by Mamdouh; supervision was carried out by Manal and Tamer; visualization was managed by Gehad and Doaa; the original draft was written by Gehad, Doaa, Tamer, and Manal; and the review and editing were performed by Doaa, Gehad, Tamer, Mamdouh, and Manal.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: All other authors state no conflict of interest.
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Research funding: The Egyptian Family Health Society (non profit organization), Egypt funded the conduction of the study (finances of recruitment, labs and treatment only). The funding organization played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.
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Data availability: Will be provided upon request from the corresponding author.
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