JCDR - Register at Journal of Clinical and Diagnostic Research
Journal of Clinical and Diagnostic Research, ISSN - 0973 - 709X
Public Health Section DOI : 10.7860/JCDR/2020/44851.14340
Year : 2020 | Month : Dec | Volume : 14 | Issue : 12 Full Version Page : LC16 - LC20

Prevalence of Iron Deficiency Anaemia among the Reproductive Age Group Women Attending the Unani Hospital, Bangalore, Karnataka, India

Mazharul Islam1, Atiya Khan2, Arish Mohammad Khan Sherwani3

1 Assistant Professor, Department of Preventive and Social Medicine, State Takmeel-ut-Tib College and Hospital, Lucknow, Uttar Pradesh, India.
2 Assistant Professor, Department of Preventive and Social Medicine, Rajasthan Unani Medical College and Hospital, Jaipur, Rajasthan, India.
3 Head and Reader, Department of Preventive and Social Medicine, National Institute of Unani Medicine, Bangalore, Karnataka, India.


NAME, ADDRESS, E-MAIL ID OF THE CORRESPONDING AUTHOR: Dr. Atiya Khan, Riyaz Manzil, Farashtola, Azamgarh, Uttar Pradesh, India.
E-mail: khanmahwish85@gmail.com
Abstract

Introduction

Iron Deficiency Anaemia (IDA) is the most widespread micronutrient deficiency. Globally, nearly two billion people are affected by anaemia. This disease most often affects children, women of child-bearing age, and pregnant women. Nearly half of the pregnant women in the world are estimated to be anaemic. Its prevalence varies according to region and socio-economic conditions. The majority of those who are anaemic live in developing countries where the problem is exacerbated by limited access to inadequate resources and appropriate treatment.

Aim

To find out the prevalence of IDA in the reproductive age group women and its associated factors.

Materials and Methods

This hospital based, cross-divtional study was conducted among 400 females, of age group 15-49 years. After obtaining the written informed consent, eligible subjects were inquired about socio-demographic variables, socio-economic status, anthropometric measurements and risk factors. Required investigations were done. All the information was recorded on the semi-structured schedule form. Chi-square/Fisher’s-exact test was used to find the significance of study parameters on categorical scale between two or more groups.

Results

Prevalence of IDA was found to be 42% (168/400). Prevalence of IDA was significant with habitat (p=0.0180), exercise (p=0.0004), amount of blood loss during menstruation (p<0.0001), duration of flow during menstruation, (p=0.0020), consumption of fish (p=0.0002), consumption of legumes (p=0.002), consumption of green leafy vegetable (p<0.0001).

Conclusion

Results confirmed an increased prevalence of IDA in women of reproductive age group.

Keywords

Introduction

According to World Health Organisation (WHO), anaemia is defined as “a condition in which the content of blood haemoglobin is lower than the normal as a result of a deficiency of one or more essential nutrients, regardless of the cause of such deficiency”. Anaemia is established if the haemoglobin is below the cut-off points recommended by WHO [Table/Fig-1] [1-3].

Haemoglobin cut-off levels for diagnosing anaemia, in accordance with the 2001 World Health Organisation definitions [1-3].

Age group and genderHaemoglobin (g/dL)
Adult male13
Adult female, non-pregnant12
Adult female, pregnant11
Children, 6 months to 6 years11

Out of types of the concern disease, the most significant contributor to the onset of anaemia is iron deficiency so that IDA and anaemia are used synonymously, and the prevalence of anaemia has often been used as a proxy for IDA [2-5]. According to National Family Health Survey-3 (NFHS-3), the prevalence of anaemic women in reproductive age groups (15-49 years) of India is 55.3% as a whole and 51.5% in Karnataka state [6]. In India, this silent emergency is rampant among women in the reproductive age group (15-49 years), children (6-35 months) and population of low socio-economic strata [3]. Women of child bearing age are at higher risk for developing IDA. Despite recent economic growth and preventive efforts, anaemia remains especially prevalent in India and is the key cause of disability across the world. Previous studies reported many possible causes of anaemia in the Indian context, such as poor intake of iron, reduced intake of vitamin C and lower gastric acidity in comparison to European descent populations. Repeated child bearing, lactation, and inadequate access to nutritional supplements after menarche and during pregnancy can cause anaemia or intensify it further among women [7]. Iron deficiency is associated with extreme health conditions such as diminished ability to function, fatigue, malaise, depression, neurological dysfunction, poor focus or attention etc., [8].

So, considering the gravity of the situation, the present study was undertaken to find the prevalence of anaemia in the above mentioned reproductive age group women and factors associated with it.

Materials and Methods

This hospital-based cross-sectional study was conducted in the Department of Preventive and Social Medicine, National Institute of Unani Medicine, Bangalore, Karnataka, India. The duration of the study was one year from March 2015 to March 2016 and informed consent was taken prior to the participation. Before the commencement of the study, the Institutional Ethical Committee (IEC) approved the project (NIUM/IEC/2014-15/019/TST/05).

Inclusion and Exclusion criteria: All non-pregnant women of reproductive age group (15-49 years of age), attending OPD of Unani hospital were included except, critically ill and non-cooperative patients.

Sample size: Sample size calculation was based on the prevalence of anaemia which was taken from a study by Kaur K, to be as 56% [9]. It was calculated with, precision percentage of 90, allowable error 10% of prevalence as 314 which was calculated with formula 4pq/l2 and was further round figured to 400.

Measurement of Study Variables

Socio-demographic variables: Patients were inquired about their name, age, sex, marital status, address, religion, and occupation.

Socio-economic status: Kuppuswamy Modified classification of socioeconomic status scale-January 2014 scale was used for this purpose. Scores ranged as follows: 26-29 were (Upper class I), 16-25 (Upper Middle class II), 11-15 (Lower Middle class III), 5-10 (Upper Lower class IV), and <5 (Lower class V) [10,11].

Anthropometric measurements: Weight was measured in kilograms using a weighing scale to the nearest measurement of 0.1 Kg. Height was measured by a wall fixed tape with a movable headboard to the nearest centimetre with participants standing upright without shoes and their backs against the wall and heels together. Obesity was assessed by calculating the Body Mass Index (BMI) using the weight and height of the participants by a formula as: Weight in kilograms/height2 in centimetres and BMI was classified according to WHO classification into underweight (BMI <18.50) Kg/m2, normal (BMI ranging from 18.5-24.99) Kg/m2, pre-obese (BMI ranging from 25-29.99) Kg/m2, obese class I (BMI ranging from 30-34.99) Kg/m2, obese class II (BMI ranging from 34.99-39.99) Kg/m2 and obese class III (BMI 40 and above) Kg/m2 [3,12].

Risk Factor Assessment

A semi-structured schedule was constructed to assess the risk factors of the participants based on the following parameters.

a) Tobacco usage: No tobacco use was considered in those who had either never used any tobacco products or had quitted for five years or more.

b) Alcohol usage: Participants who had either never used alcohol or had quit for five years or more were considered non-alcoholic.

c) Diet: History of dietary habits regarding vegetarian and non-vegetarian diet was taken from the participants. Questions regarding skipping of meals and frequency of some foods; (red meat, chicken, fish, legumes, green leafy vegetables, citrus fruits, whole grains, tea/coffee, and milk) were also asked.

d) Exercise: Level of physical activity was assessed by asking the participants the nature of their activity and classified accordingly into mild, moderate, and heavy exercise as per Human energy requirements: Report of a joint FAO/WHO/UNU (Food and Agriculture Organisation/World Health Organisation/United Nations University) Expert consultation. The activity factors are mentioned below [13].

Sedentary or light activity lifestyle- 1.53

Active or moderately active lifestyle- 1.76

Vigorous or vigorously active lifestyle- 2.25

e) Menstrual and obstetrics history: Menstrual history was taken with regards in pattern of cycle (regular or irregular), duration of flow in days (1-3, 4-6, >7 days), amount of blood loss (scanty, moderate, heavy) based on standards described in committee opinion of The American college of obstetricians and gynaecologists [14]. Obstetrics history was asked in terms of gravida, parity, abortion, and time duration between children as child spacing.

History of Diseases

Information about menorrhagia, metrorrhagia, haemoptysis, epistaxis, haematuria, haematemesis, prolonged fever with cough, bleeding piles, chronic infection, injury (accidental bleeding), bleeding gums, worms infestation, jaundice were taken.

Investigations

All required investigations were done at the biochemistry laboratory of the hospital of NIUM for the diagnosis of anaemia.

Hb (gm%): Haemoglobin percentage was figured out by Sahli’s method. Normal range: Female: 12-18 gm%. The rest of investigations were done by using automated analyser and these are as follows:

MCV (Mean Corpuscular Volume): Normal range: 80-100 fL.

MCHC (Mean Corpuscular Haemoglobin Concentration): Normal range: 32-36 gm/dL.

MCH (Mean Corpuscular Haemoglobin): Normal range: 26.5-33.5 pg.

PCV (Packed Cell Volume): Normal range: (40±6)%

Patients having MCV <80 fL and MCH <26.5 pg (microcytic and hypochromic anaemia) were considered suffering from IDA [15,16].

Statistical Analysis

Descriptive and inferential statistical analysis was carried out in the present study. Results on categorical measurements were presented in number (%). Significance was assessed at 5% level of significance. Chi-Square/Fisher’s-exact test was used to find the significance of study parameters on categorical scale between two or more groups.

Results

[Table/Fig-2] shows total prevalence of IDA (Hypochromic and microcytic) as 42%. A higher prevalence of IDA were found in subjects living in rural habitat 54 (65.85%), not exercising 143 (56.52%), regularly menstruating 122 (58.94%), having a longer duration of flow and heavy bleeding during menstrual cycle [Table/Fig-3].

Prevalence of IDA among patients (n=400).

Cell morphology on peripheral smear examNo. of patientsPercentage
Subject without anaemia (Hb ≥12 gm/dL)13934.75
Subject with anaemia (Hb <12 gm/dL)
Hypochromic and normocytic7017.50
Hypochromic and microcytic16842
Normochromic and microcytic41
Normochromic and normocytic194.75

Distribution of IDA with socio-demographic status and menstrual history.

VariablesNon-anaemic (n=139)IDA (n=168)Total (307)p-value
Age in yearsa
15-1918 (48.65%)19 (51.35%)37 (100%)0.522
20-2939 (49.37%)40 (50.63%)79 (100%)
30-3938 (39.18%)59 (60.82%)97 (100%)
40-4944 (46.80%)50 (53.20)94 (100%)
Marital statusa
Married105 (45.06%)128 (54.94%)233 (100%)0.984
Unmarried33 (45.83%)39 (54.17)72 (100%)
Divorced1 (50%)1 (50%)2 (100%)
Religiona
Islam97 (42.73%)130 (57.27%)227 (100%)0.1312
Hindu42 (52.5%)38 (47.5%)80 (100%)
Christian0 (0%)0 (0%)0 (0%)
Habitata
Rural28 (34.15%)54 (65.85%)82 (100%)0.0180*
Urban111 (49.33%)114 (50.67%)225 (100%)
Kuppuswamy classification of socio-economic statusa
Upper2 (66.67%)1 (33.33%)3 (100%)0.7189
Upper middle21 (51.22%)20 (48.78%)41 (100%)
Lower middle57 (44.88%)70 (55.12%)127 (100%)
Upper lower59 (43.38%)77 (56.62%)136 (100%)
Lower0 (0%)0 (0%)0 (0%)
BMI classificationa
Under weight11 (44%)14 (56%)25 (100%)0.5354
Normal55 (44%)70 (56%)125 (100%)
Pre obese45 (41.67%)63 (58.33%)108 (100%)
Obese I22 (56.41%)17 (43.59%)39 (100%)
Obese II3 (75%)1 (25%)4 (100%)
Obese III3 (50%)3 (50%)6 (100%)
Dieta
Mixed127 (44.25%)160 (55.75%)287 (100%)0.2560
Vegetarian12 (60%)8 (40%)20 (100%)
Smoking
No139 (45.28%)168 (54.72%)307 (100%)-
Yes0 (%)0 (%)0 (%)
Alcohol
No139 (45.28%)168 (54.72%)307 (100%)-
Yes0 (0%)0 (0%)0 (0%)
Tobaccob
No136 (46.58%)156 (53.42%)292 (100%)0.0608
Yes3 (20%)12 (80%)15 (100%)
Exercisea
No110 (43.48%)143 (56.52%)253 (100%)0.0004**
Mild24 (53.33%)21 (46.67%)45 (100%)
Moderate5 (55.56%)4 (44.44%)9 (100%)
Menstrual cyclea
Regular85 (41.06%)122 (58.94%)207 (100%)0.0194*
Absent31 (63.26%)18 (36.74%)49 (100%)
Irregular23 (45.09%)28 (54.91%)51 (100%)
Duration of flowa
Nil31 (63.26%)18 (36.74%)49 (100%)0.002**
1-3 days26 (35.61%)47 (64.39%)73 (100%)
4-681 (46.28%)94 (53.72%)175 (100%)
>7 days1 (10%)9 (90%)10 (100%)
Amount of blood lossa
Nil31 (63.26%)18 (36.74%)49 (100%)<0.0001**
Scanty7 (16.66%)35 (83.34%)42 (100%)
Moderate100 (48.31%)107 (51.69%)207 (100%)
Heavy1 (11.11%)8 (88.89%)9 (100%)

aChi-Square test, bFisher’s-exact test were applied to find the significance; *p<0.05 statistically significant; **p<0.001 statistically highly significant


[Table/Fig-4] shows significant association of IDA with gravida and parity; whereas data recorded in [Table/Fig-5] confirms strong association among menorrhagia, metrorrhagia and prevalence of IDA.

Distribution of IDA according to obstetrical history.

VariableNon-anaemic (n=139)IDA (n=168)Total (307)p-value
Gravidaa0.0404*
043 (46.23%)50 (53.77%)93 (100%)
1-253 (54.64%)44 (45.36%)97 (100%)
3-538 (35.19%)70 (64.81%)108 (100%)
>55 (55.55%)4 (44.45%)9 (100%)
Paritya
045 (45.91%)53 (54.09%)98 (100%)0.0463*
1-257 (52.78%)51 (47.22%)108 (100%)
3-534 (35.05%)63 (64.95%)97 (100%)
>53 (75%)1 (25%)4 (100%)
Abortiona
0125 (46.99)141 (53.01%)266 (100%)0.1167
17 (26.92%)19 (73.08%)26 (100%)
26 (60%)4 (40%)10 (51.35%)
31 (20%)4 (80%)5 (51.35%)

aChi-Square test were applied to find the significance; *p<0.05 statistically significant


Distribution of IDA according to past history.

VariableNon-anaemic (n=139)IDA (n=168)Total (307)p-value
Menorrhagia
Present26 (35.13%)48 (64.87%)74 (100%)0.0442*
Absent113 (48.50%)120 (51.50%)233 (100%)
Metrorrhagia
Present17 (30.35%)39 (69.65%)56 (100%)0.0131*
Absent122 (48.60%)129 (51.40%)251 (100%)

Chi-Square test was applied to find the significance; *p<0.05 statistically significant


[Table/Fig-6] presents association of dietary factors with prevalence of IDA and shows that red meat, chicken, fish, citrus fruits, green leafy vegetables play protective role and prevent IDA while frequent tea consumption acts as a promoter.

Distribution of IDA according to dietary preferences.

Frequency times/weekNon-anaemic (n=139)IDA (n=168)Total (307)p-value
Red meat
Never57 (48.31%)61 (51.69%)118 (100%)0.0249*
Daily1 (50%)1 (50%)2 (100%)
1-264 (39.02%)100 (60.98%)164 (100%)
314 (77.77%)4 (22.23%)18 (100%)
4-63 (60%)2 (40%)5 (100%)
Chicken
Never30 (50.84%)29 (49.16%)59 (100%)0.0404*
Daily1 (50%)1 (50%)02 (100%)
1-293 (41.15%)133 (58.85%)226 (100%)
314 (77.77%)4 (22.23%)18 (100%)
4-61 (50%)1 (50%)2 (100%)
Fish
Never96 (39.34%)148 (60.66%)244 (100%)0.0002**
Daily10 (100%)0 (0%)10 (100%)
1-231 (63.26%)18 (36.74%)49 (100%)
31 (33.33%)2 (66.67%)3 (100%)
4-61 (100%)0 (0%)1 (100%)
Legumes
Never1 (50%)1 (50%)2 (100%)0.0020**
Daily75 (48.38%)80 (51.62%)155 (100%)
1-22 (33.34%)4 (66.66%)6 (100%)
310 (38.46%)16 (61.54%)26 (100%)
4-651 (43.22%)67 (56.78%)118 (100%)
Green leafy vegetables
Never1 (14.29%)6 (85.71%)7 (100%)<0.0001**
Daily93 (57.05%)70 (42.95%)163 (100%)
1-213 (23.64%)42 (76.36%)55 (100%)
318 (34.62%)34 (65.38%)52 (100%)
4-614 (46.67%)16 (53.33%)30 (100%)
Citrus fruits
Never21 (29.17%)51 (70.83%)72 (100%)0.0236*
Daily15 (57.69%)11 (42.31%)26 (100%)
1-290 (48.64%)95 (51.36%)185 (100%)
39 (50%)9 (50%)18 (100%)
4-64 (66.66%)2 (33.34%)6 (100%)
Whole grain
Never1 (100%)0 (0%)1 (100%)0.5687
Daily134 (45.27%)162 (54.73%)296 (100%)
1-21 (100%)0 (0%)1 (100%)
31 (33.33%)2 (66.67%)3 (100%)
4-62 (33.33%)4 (66.67%)6 (100%)
Tea
Never41 (58.57%)29 (41.43%)70 (100%)0.022*
Daily94 (40.51%)138 (59.49%)232 (100%)
1-22 (100%)0 (0%)2 (100%)
31 (100%)0 (0%)1 (100%)
4-61 (50%)1 (50%)2 (100%)

Chi-Square test was applied to find the significance; *p<0.05 statistically significant; **p<0.001 statistically highly significant


Discussion

Prevalence of IDA (hypochromic and microcytic anaemia) was 42% in the present study which is comparable to the report of NFHS-4 showing prevalence of 44.8% as the most significant contributor to the onset of anaemia is iron deficiency so that IDA and anaemia are used synonymously [17] (comparison was made with NFHS-4, India but it did not mention the type of anaemia so authors drew an inference that as IDA is most common so among the 44.8%, common contributor would be iron deficiency) [18].

Regarding habitat, prevalence among rural and urban dwellers was 65.85% and 50.67%, respectively with a statistically significant association (p=0.0180). According to NFHS-3; rural pregnant women consumed iron folic acid for 90 days or more was 34.7% while urban mothers were 48.9% simply means rural mothers will show higher prevalence of IDA that is accordance to the finding of present study. It may be also due to the fact that rural population might have lesser awareness about diet and it’s relation to health [6,17,19].

Regarding socio-economic status, subjects belonging to upper class showed a prevalence of 33.33%, upper middle class 48.78%, lower middle class 55.12%, and upper lower class showed 56.62% prevalence, respectively. The above results indicate that IDA was more prevalent among lower middle and Upper lower classes. This may be due to low literacy status and poor nutrition among the respective classes as confirmed in a study by Kumar CA et al., [20].

The present study revealed that prevalence of IDA was 56.52%, 46.67% and 44.44% among those who did not do any exercise, mild exercise and moderate exercise, respectively with highly significance association (p=0.0004).

Above data revealed, highest prevalence among those who did not do any exercise which reflects the fact that exercise training stimulates erythropoiesis and elevates total haemoglobin and red cell mass, which enhances oxygen carrying capacity. This adaptation might help improve anaemia and fitness in patients. The results of the research available to date are controversial, and it seems that significant methodological limitations exist. In spite of this, performing exercise can be an effective method to improve anaemia even though efficacy as well as the appropriate mode, intensity, and frequency of exercise training in different types of anaemia are yet to be established and require more research [21].

Prevalence of IDA was 58.94%, 36.74%, 54.91% among regular, absent, and irregular menstrual cycle, respectively. Statistical analysis revealed moderately significant relation of IDA with regular menstrual cycle (p=0.0194). Typically, non-menstruating women lose about 1 mg of iron per day, while menstruating women lose an additional 10 mg of iron per day during menses [3]. Then combined with greater and heavier blood loss during menstruation even regular menstrual cycle can cause IDA as found in present study [3]. Present study showed prevalence of IDA was highly significant with duration of flow and amount of blood loss during menstruation. (p=0.002 and p<0.0001). Menstrual cycle pattern in the terms of days of flow and amount of flow is also significantly associated with IDA because it signifies greater blood loss on an average during one menstrual cycle [22-24].

The prevalence of IDA among women who had been gravida for 0 times (no gravida) was 53.77%, followed by 45.36% in 1-2 times gravida, 64.81% in 3-5 times gravida and 44.45% in >5 times gravida, respectively. Statistical analysis had shown significant relation of IDA with number of gravida (p=0.0404). Pregnancy is also a significant cause of iron loss i.e., single pregnancy is associated with an iron loss of approximately 1000 mg in a 55 kg woman. Thus, IDA and number of pregnancy walk together [25,26].

In present study, findings revealed significant relation between prevalence of IDA and parity (p=0.0463) when compared to nullipara women. Uche-Nwachi EO et al., and Shah T et al., also found in their studies that the grade of anaemia increased with parity [27,28].

Statistical analysis revealed that only past history of menorrhagia and metrorrhagia show a significant relationship with IDA (p=0.0442, 0.0131), respectively. Reason may be that being female based study, menorrhagia and metrorrhagia contributes significantly to the problem of iron loss among females [23]. A study conducted by Panigrahi A and Sahoo PB also revealed that anaemia was significantly associated with excessive menstrual bleeding [29].

Red meat consumption was moderately significant with IDA (p=0.0249).

As per this study, chicken consumption plays a protective role in the occurrence of IDA as it was found to be significant with IDA (p=0.0404). The reason behind this may be that iron contained in meat (2-4 mg/100 gms) and chicken (0.4-2.0 mg/75 gms) is absorb more easily than iron from plant sources [3,30]. Another evidence comes from the study conducted by AlQuaiz JM showed that low consumption of diets, such as red meat, vegetables, fruits, cereals has been reported to be associated with IDA [31].

While participants who consumed fish had lesser prevalence of IDA as compare to participants who did not consume the same. (p=0.0002). Although having lesser iron content (0.7-3 mg/100 gm) than meat, fish is still a good source of iron as the iron found in fish is more bioavailable [3,22].

Lesser prevalence of IDA was found in the group of people consuming green leafy vegetables consumption and relation was statistically significant. (p<0.0001). With the possible exception of vitamin B12, green leaves are rich sources of carotenes, calcium, iron, and vitamin C (iron absorption promoter) [6,32]. This finding of present study is in accordance with the study of Chaturvedi D et al., and Turner T et al., [32,33].

Consumption of citrus fruits had significant relation of IDA. (p=0.0236). The probable explanations of this finding may be that citrus is an excellent source of vitamin C. Vitamin C (ascorbic acid) is a water-soluble essential nutrient which acts as an antioxidant, is involved in iron metabolism as iron absorption promoter [3,22,34].

Increased tea consumption showed significant relationship with IDA (p=0.022). Similarly, study conducted by Kaltwasser JP et al., found that if the test meal was accompanied by tea instead of water then iron absorption was reduced [34]. Similarly, Chaturvedi D et al., found that there was increased association on consumption of tea and coffee post-meals [32]. As well as, according to National Institute of Nutrition, Hyderabad, India, tannin present in tea and coffee hinders with proper absorption of iron of food stuffs [35].

Limitation(s)

First, serum ferritin as diagnostic test was not used, as it is the more accurate marker of iron deficiency. Second, the dietary data was measured as frequency and not as portion size.

Conclusion(s)

Prevalence of IDA was found to be 42%. Results confirmed an increased prevalence of IDA in women of reproductive age group. These results conclude association of higher prevalence of IDA with rural habitat, not exercising, regular menstrual cycle, heavy blood loss, menorrhagia, metrorrhagia, multiple gravida, higher parity and habit of drinking tea. The factors like consumption of fish, green leafy vegetable, red meat, and citrus fruit may have a protective role.

aChi-Square test, bFisher’s-exact test were applied to find the significance; *p<0.05 statistically significant; **p<0.001 statistically highly significantaChi-Square test were applied to find the significance; *p<0.05 statistically significantChi-Square test was applied to find the significance; *p<0.05 statistically significantChi-Square test was applied to find the significance; *p<0.05 statistically significant; **p<0.001 statistically highly significant

References

[1]World Health Organization. Nutritional anaemias. Report of a WHO scientific group World Health Organ Tech Rep Ser. 1968;405:05-37 [assessed on 25 august 2020]. Available from: https://apps.who.int/iris/handle/10665/40707  [Google Scholar]

[2]Mikki N, Abdul-Rahim HF, Stigum H, Ottesen GH, Anaemia prevalence and associated socio demographic and dietary factors among Palestinian adolescents in the West Bank Eastern Mediterranean Health J 2011 17(3):2008-17.10.26719/2011.17.3.208  [Google Scholar]  [CrossRef]

[3]Park K, Textbook of preventive and social medicine 2013 22nd edJabalpurBanarsidas Bhanot publications:577-578.:582-584.:595-96.:840  [Google Scholar]

[4]Al-Zabedi EM, Kaid FA, Sady H, Al-Adhroey AH, Amran AA, Al-Maktari MT, Prevalence and risk factors of iron deficiency anaemia among children in Yemen American Jl of Health Resear 2014 2(5):319-26.10.11648/j.ajhr.20140205.26  [Google Scholar]  [CrossRef]

[5]Yadav S, Sangeeta Effect of iron deficiency anaemia on cognitive development Asian Science 2012 7(1):58-68.  [Google Scholar]

[6]International Institute of Population Sciences (IIPS) National Family Health Survey (NFHS) 3. [accessed on September 23, 2019]. Available from: http://www.rchiips.org/nfhs/nfhs3.shtml  [Google Scholar]

[7]Little M, Zivot C, Humphries S, Dodd W, Patel K, Dewey C, Burden and determinants of anaemia in a rural population in south India: A cross-sectional study Anaemia 2018 2018:712397610.1155/2018/712397630112198  [Google Scholar]  [CrossRef]  [PubMed]

[8]Jimenez K, Kulnigg-Dabsch S, Gasche C, Management of iron deficiency anaemia Gastroenterol Hepatol 2015 11(4):241-50.  [Google Scholar]

[9]Kaur K, Anaemia ‘a silent killer’ among women in India: Present scenario European J of Zoological Research 2014 3(1):32-36.  [Google Scholar]

[10]Kuppuswamy B, Manual of Socioeconomic Status (Urban) 1981 1st edDelhiManasayan:66-72.  [Google Scholar]

[11]Gururaj Maheshwaran Kuppuswamy’s Socio-Economic Status Scale- A Revision of Income Parameter For 2014 International Journal of Recent Trends in Science And Technology 2014 11(1):01-02.  [Google Scholar]

[12]World health organisation. Global Strategy on Diet, Physical Activity and Health. [accessed on September 5, 2020] Available from: https://www.who.int/dietphysicalactivity/childhood_what/en/  [Google Scholar]

[13]Human energy requirements: Report of a Joint FAO/WHO/UNU Expert Consultation. FAO: Food and Nutrition Technical Report Series. Rome: 17-24 October 2001; 35-37  [Google Scholar]

[14]Anonymous Menstruation in girls and adolescents: Using the menstrual cycle as a vital sign. Committee Opinion No. 651 American College of Obstetricians and Gynecologists. Obstet Gynecol 2015 126(6):e143-46.10.1097/AOG.000000000000121526595586  [Google Scholar]  [CrossRef]  [PubMed]

[15]Miller JL, Iron deficiency anaemia: A common and curable disease Cold Spring Harb Perspect Med 2013 3(7):a01186610.1101/cshperspect.a01186623613366  [Google Scholar]  [CrossRef]  [PubMed]

[16]Khusun H, Yip R, Schultink W, Dilon DHS, World health organization hemoglobin cut-off points for the detection of anaemia are valid for an Indonesian population The J of Nutrition 1999 129(9):1669-74.10.1093/jn/129.9.166910460202  [Google Scholar]  [CrossRef]  [PubMed]

[17]Sharma PR. Red cell indices-clinical methods-NCBI bookshelf [Internet] NCBI Bookshelf. A service of the National Library of Medicine, National Institutes of Health. 2007 [Cited 2016 October]. Available from; https://www.ncbi.nlm.nih.gov/books/NBK260/  [Google Scholar]

[18]National family health survey (NFHS-4)- State fact sheet Karnataka. Mumbai: International institute for population sciences, Ministry of health and family welfare; 2015-16. (accessed on date 25 feb 2017). Available from: http://rchiips.org/nfhs/NFHS-4Reports/India.pdf  [Google Scholar]

[19]Dixit S, Kant S, Agarwal G, Singh JV, A community study on prevalence of anaemia among adolescent girls and it’s association with iron intake and their correlates Indian J Prev Soc Med 2011 42(4):393-97.  [Google Scholar]

[20]Kumar CA, Tayade MC, Nigavekar Singla Idgampalli N, Distribution of iron deficiency anaemia in rural population: Survey based study International J of Healthcare and Biomedical Research 2014 2(2):105-10.  [Google Scholar]

[21]Hu M, Lin W, Effects of exercise training on red blood cell production: Implications for anaemia Acta Haematol 2012 127:156-64.10.1159/00033562022301865  [Google Scholar]  [CrossRef]  [PubMed]

[22]Charles CV, Iron deficiency anaemia: a public health problem of global proportions. In: Prof Maddock J, editor Public Health-Methodology, Environmental and Systems Issues 2012 [cited 2012 May] CroatiaIntechAvailable from: http://www.intechopen.com/books/public-health-methodology environmental-andsystems-issues/iron-deficiency-anaemia-a-public-health-problem-of-global-proportions  [Google Scholar]

[23]Andrade Cairo RC, Silva LR, Bustani NC, Farreira Morques DF, Iron deficiency in adolescents, a literature review Nutr Hosp 2014 29(6):1240-49.  [Google Scholar]

[24]FAO WHO, Human vitamin and mineral requirements 2001 RomeFood and agriculture organistion of the United nations  [Google Scholar]

[25]Damon LE, Andreadis C, Blood disorders. In: Papadakis M, McPhee S, Rabow M, editors Current medical diagnosis & treatment 2015 54th edNew YorkMcGraw-Hill  [Google Scholar]

[26]Dutta DC, Textbook of obstetrics including perinatology and contraception 2013 7th edNew DelhiJaypee Brothers Medical Publishers  [Google Scholar]

[27]Uche-Nwachi EO, Odukunle A, Jacinto S, Bunnet M, Clapperton M, David Y, Anaemia in pregnancy: Associations with parity, abortions and childspacing in primary healthcare clinic attendees in Trinidad and Tobago Afr Health Sci 2010 10(1):66-70.  [Google Scholar]

[28]Shah T, Warsi J, Laghari Z, Anaemia and its association with parity Professional Med J 2020 27(5):968-72.10.29309/TPMJ/2020.27.05.3959  [Google Scholar]  [CrossRef]

[29]Panigrahi A, Sahoo PB, Nutritional anaemia and it’s epidemiological correlates among women of reproductive age in an urban slum of Bhubaneshwar, Orissa Indian J Public Health 2011 55(4):317-20.10.4103/0019-557X.9241522298143  [Google Scholar]  [CrossRef]  [PubMed]

[30]Dieticians of Canada. Food is of iron [Internet]. 2016 [accessed on 23 Feb 2017]. Available from: www.hc-sc.gc.ca/fn-an/nutrition/fiche-nutri-data/index-eng.php  [Google Scholar]

[31]Al Quaiz JM, Iron Deficiency anaemia: A study of risk factors Saudi Med J 2001 22(49):0-6.  [Google Scholar]

[32]Chaturvedi D, Chaudhuri PK, Priyanka Chaudhary AK, Study of correlation between dietary habits and anaemia among adolescent girls in Ranchi and its surronding area Int J Contemp Pediatr 2017 4(4):1165-68.10.18203/2349-3291.ijcp20172022  [Google Scholar]  [CrossRef]

[33]Turner T, Burri BJ, Potential nutritional benefits of current citrus consumption Agriculture 2013 3:170-87.10.3390/agriculture3010170  [Google Scholar]  [CrossRef]

[34]Kaltwasser JP, Werner E, Schalk K, Hansen C, Gottschalk R, Siedl C, Clinicat trail on the effect of regular tea drinking on iron accumulation in genetic haemochromatosis BMJ Open Gastroenterology 2017 43(5):01-10.10.1136/gut.43.5.6999824354  [Google Scholar]  [CrossRef]  [PubMed]

[35]National institute of Nutrition. Dietary guidelines for Indians- A manual. Hyderabad: NIN, ICMR; 72. [accessed on March 13, 2017]  [Google Scholar]