Article

Ayurveda's Impact on Anemia among Rural School Children in Belagavi, Karnataka: An Observational Study

Sandeep Subhash Sagare1★, Srinivas Prasad Buduru2, Kavita Sutagatti3, Zeba Mulla4★ Corresponding author

  1. 1Department of Swasthavritta and Yoga, KAHERs Shri BMK Ayurved Mahavidyalaya, Shahpur, Belagavi, Karnataka, INDIA.
  2. 2Kayachikitsa, National Commission for Indian System of Medicine, D" Block, 61-65, Janakpuri Institutional Area, Janakpuri, New Delhi, INDIA.
  3. 3Department of Panchakarma, Shri BMK Ayurved Mahavidyalaya, Shahpur, Belagavi, Karnataka, INDIA.
  4. 4Department of Dravyaguna, Shri BMK Ayurved Mahavidyalaya, Shahpur, Belagavi, Karnataka, INDIA.

CORRESPONDENCE

Sandeep Subhash Sagare

Dr. Sandeep Subash Sagare Reader, Department of Swasthavritta and Yoga, KAHERs Shri BMK Ayurved Mahavidyalaya, Shahpur, Belagavi-590005, Karnataka, INDIA.

sandeepsagare@gmail.com

Received: 27-02-2025; Revised: 16-05-2025; Accepted: 09-07-2025.

Volume 15, Issue 4 · pp. 1254–1260 · PUBLISHED Oct-Dec 2025 · DOI: 10.5530/ijpi.20250306

View on IJPI original site ↗

ABSTRACT

Background/Purpose Anemia poses a significant public health challenge, particularly in developing nations. Indian government has initiated several programs aimed at reducing the prevalence of anemia, such as providing iron and folic acid supplements and Mid-day meals to school-aged children. This study aims to address the issue by employing Ayurveda's comprehensive approach and cooperation. Materials and Methods A survey of baseline was conducted on 7101 children from 41 schools and 85 Anganwadis by Hudali Primary Health Centre. A period of one academic year, 2022-23 out of 7101 Children's 301 instances were evaluated for anaemia. The data was analyzed using appropriate software and statistical methods. Results The height, weight, and Body mass index measurements during the first to third follow-up revealed that there was a statistically significant mean difference for the weight and BMI variables when comparing the initial screening to the follow-up assessments. Hb% observed differences are statistically significant between screening and follow-up measurements. The initial serum ferritin level before treatment was 75.7579 (SD: 57.04) for a sample size of 293. After treatment, the serum ferritin level rose to 128.3211 (SD: 70.25) within the same sample size. Conclusion Childhood anemia remains a significant public health issue within this age group. Our research highlights the substantial prevalence of anemia among school-age children. The effectiveness of intervention drugs in treating anemia was noted. We recommend the need for thorough, well-organized, and extensive investigations that use standardized methods to assess the occurrence and treat anemia.

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INTRODUCTION

Anemia is a common blood disorder characterized by a deficiency of red blood cells or hemoglobin, resulting in reduced oxygen-carrying capacity. Its prevalence and incidence vary widely across different populations and regions. In general, anemia is more prevalent in developing countries, particularly among women of reproductive age and children, due to factors such as poor nutrition, infectious diseases, and limited access to healthcare. However, it also affects individuals in developed countries, often due to underlying medical conditions such as chronic diseases or genetic disorders. Effective prevention and treatment strategies, including iron supplementation, dietary changes, and addressing underlying health issues, are essential for reducing the burden of anemia worldwide. This ailment is particularly prevalent among women of childbearing age, children, and adolescents (Park, 2017). On a global scale, anemia impacts 1.62 billion individuals, making up approximately 24.8% of the world's population. The highest prevalence is observed among preschool-age children, affecting 47.4% of this demographic, and in India, 25.4% of school-age children are affected by anemia. Among young children, the prevalence of anemia surpasses 70% (WHO 2011). A 2011 report from the World Health Organization (WHO) categorizes the public health significance of anemia in India as ‘severe’ (WHO 2015). Lower socioeconomic class and rural living significantly increase the risk. Despite gains in the public health system, the frequency increased from 1998-1999 to 2005-2006 (Park, 2017).

Correcting anemia in school children is vital for their physical and cognitive development, as it can cause fatigue, weakness, and difficulty concentrating, affecting their academic performance and overall well-being. Iron deficiency anemia is commonly studied in school children due to its widespread prevalence and impact on health. Belagavi, a rural area with diverse socio-economic backgrounds, provides an ideal setting to study the health and educational outcomes of rural school children in Karnataka, with sufficient infrastructure and resources for research. Understanding the unique health challenges faced by rural areas like Belagavi can inform targeted interventions to improve educational outcomes. The study includes medicines like Krimikuthara rasa for its antiparasitic properties, Punarnavamandoora for rejuvenation and improved blood circulation, and Draksha avaleha for its high iron content, aiming to address anemia effectively.

The National Health Mission provides weekly iron and folic acid tablets to children aged 5-19, with biannual deworming in schools and Anganwadi centers. Anaemia can stem from various factors, including infections and genetic disorders. Maternal anaemia raises risks for both mother and child. In 2013, maternal and neonatal mortality accounted for 3 million deaths in developing regions. Iron deficiency alone contributed to 90,000 deaths globally. Monitoring iron deficiency involves regular assessment of individuals or communities. The WHO classifies anemia based on hemoglobin or hematocrit levels (Kapil, U., and Bhadoria, A. S. (2014; Kozuki et al., 2012; Steer, 2000; WHO 2014; WHO 2014; WHO 2001, WHO 2008).

Ayurveda, an ancient Indian system of medicine, views anemia as a result of imbalance in the body's doshas, particularly Pitta and Kapha. Treatment involves dietary modifications, herbal remedies, and lifestyle adjustments aimed at restoring balance and improving the body's ability to absorb nutrients, thereby alleviating anemia symptoms and promoting overall health.

The intervention involves implementing targeted strategies to address health and educational challenges faced by rural school children in Belagavi, Karnataka. Assessments are conducted to evaluate the effectiveness of these interventions, followed by regular follow-ups to monitor progress and make necessary adjustments for continuous improvement.

MATERIALS AND METHODS

Information about medicine collection/preparation

Krimikutara rasa, Punarnava mandoora and Drakshavaleha are collected from GMP Certified, KLE Ayurveda pharmacy, Teaching Pharmacy of Shri. B.M. Kankanawadi Ayurveda Mahavidyalaya, KAHER’s Belagavi. Krimikuthara Rasa is an Ayurvedic medicine typically available in tablet or powder form, containing 250 mg of herbal ingredients. Punarnavamandoora also comes in tablet form with a similar dosage of 250 mg and is used for various health conditions according to Ayurvedic principles. Draksha Avaleha is a herbal jam-like preparation made from grapes (Draksha) and other ingredients, commonly used in Ayurveda for its rejuvenating properties. These medicines are typically prepared by practitioners, following traditional Ayurvedic recipes and methods.

Study design

The research design employed for this study is a observational study, which allows for the collection of data at a single point in time to examine associations between variables of interest.

Research Setting

The study is planned to be conducted in the rural areas of Belagavi, Karnataka. Data collection will take place in these areas based on the research question's nature and the type of information required, providing insights into the health and educational outcomes of children.

Research Population

The population under investigation consists of children under five years old residing in the rural areas of Belagavi. This population segment is chosen to focus on early childhood development and to understand the factors influencing health and educational outcomes in this age group.

Sample calculation

Sample size was calculated using below formula at 95% confidence Interval 5% Tolerable Error and 10% Attrition (1.1). Prevalence of anemia was found to be 53%.

(5% of p)2

Where, Z1-α/2=1.96, p=Prevalence of Anemia, q=100-p, p=53%, q=100-53%=47%

Required minimum sample size was found to be 1499.

Assessment parameters with follow-ups

In the intervention, 301 students who were selected by systematic random sampling method (every 4th student was selected) received the specified medications for duration of 96 days. For children, the dosage was determined according to the guidelines outlined in the Yogaratnakar principle (Table 1).

Table 1: Study design and treatment schedule for participants.
MedicationDosageDuration
<10 Yrs children>10 Yrs children
Krimikuthara rasa (250 mg)1 Tab Twice a DayAF*2 Tabs Twice aDay AF6 Days
Punarnavamandoora(250 mg)l Tab Twice a DayAF2 Tabs Twice aDay AF90 Days
Draksha avaleha6 g Twice aDay AF10 g Twice aDay AF
Total96 Days

Hb% and other Tests details

Haemoglobin Test

The Quick Check Plus Hb Hemoglobin Testing system was used at schools and anganawadis. After sanitizing with an alcohol swab, a finger puncture was made with a lancing device. The initial blood drop was removed, and a sample collected using a glass-tipped capillary tube placed on a test strip. Results were displayed within 4 to 15 sec. Students were educated on the process and hand hygiene. After disinfection and glove use, 3 mL of blood was drawn: 1 mL in an EDTA tube and 2 mL in a plain tube. Samples were transported to the lab in cold storage.

Serum Ferritin Test

The test was conducted at Shri. B.M. Kankanawadi Ayurveda Mahavidyalaya. To perform the test, a blood sample was first centrifuged at 2500 rpm for 1 min to separate the serum. Subsequently, 800 mL of Buffer and 200 mL of Latex reagent were added to a glass test tube. The mixture was then incubated at 37ºC for 5 min. Following this, 50 mL of serum was added and thoroughly mixed, and the absorbance was recorded both after 5 sec (A) and after 480 sec (A2).

Peripheral smear test

Select a slide with smooth edges for spreading. Place a small blood drop about 1 cm away from one end of the slide, positioned horizontally. Hold the spreading slide between thumb and index finger, positioning its narrow edge at a 45º angle in front of the blood drop. Slowly move it backward until it touches the blood, and then push it forward with consistent speed and pressure to spread the blood across two-thirds of the slide's width. Let the smear air-dry, then place it horizontally on a staining rack. Apply stain drop by drop, allowing it to sit for 1-2 min. Dilute the stain with double distilled water, gently mixing until golden scum forms. Let it sit for 7-10 min until adequately stained. Rinse under tap water until it becomes clear and pink. Wipe the slide's back and position vertically to dry. Examine under low power, focusing on evenly distributed cells. Add cedar wood oil and view under oil immersion objective.

Ethical Approval

The present study has been granted ethical clearance by the institutional ethical committee, as indicated by clearance number XXX/22/SSS/01 dated 13.06.22. This approval ensures that the research adheres to ethical guidelines and standards, safeguarding the rights and well-being of participants involved in the study.

Inclusion Criteria

Children aged 4 to 16 years, regardless of their gender, religion, or economic status, will be eligible for participation. The study will include students with mild to moderate hemoglobin levels, specifically between 8 to 11.9 g per deciliter (g%) for girls and 8 to 12.9 g% for boys. Participants will be drawn from 85 Anganwadis and 38 schools within the Hudali Primary Health Center (PHC) area.

Exclusion Criteria

Children below 4 years of age and those above 16 years of age will not be considered for inclusion. Additionally, students with normal hemoglobin levels and those with severe anemia (i.e., less than 8 g) will be referred to a higher center for further medical management.

Rescue medication and reporting ADR policies

Rescue medication is given in clinical trials to ease symptoms or adverse effects experienced by participants, ensuring their safety while maintaining research integrity. Adverse Drug Reactions (ADRs) policies involve documenting and reporting unexpected or harmful effects of medications used, vital for participant safety and risk mitigation during the study.

Subjective parameters: Part-1

A baseline survey assessed iron deficiency anemia among 7,101 students across 41 schools and 85 Anganwadis in 26 villages within the Hudali PHC area. Hemoglobin levels were screened using the Quick Check plus Hb Hemoglobin testing system in both schools and Anganwadis. Previous data suggested an anticipated anemia incidence of 7.22%, around 490 students. Due to budget constraints, 301 children were randomly chosen for further follow-up studies.

Objective parameters Part-2

Anemia was classified into four levels: normal, mild, moderate, and severe based on Hb% levels. Students with severe anemia (Hb% below 8 g%) were referred to a specialized medical center. We selected 301 anemic students with Hb% between 8 to 11.9 g% for girls and 8 to 12.9 g% for boys. Blood samples were collected, and tests were conducted. Following tests, students received Ayurvedic treatment for 96 days. Parents, teachers, and anganwadi teachers were informed and provided consent. Medication details were provided, and treatment began. Follow-up assessments were conducted on the 96th day, re-evaluating blood parameters and observational criteria. Statistical analysis was performed on collected data for the final report.

Statistical analysis

The data collected was inputted into a Microsoft Excel 2013 spread sheet, and an analysis was conducted using a valid SPSS version license. The findings regarding descriptive statistics were presented as percentages, and Chi-square tests were employed to assess the association between the presence of anemia and different variables.

RESULTS

Out of 7,101 students screened for anemia, 1,321 (18.6%) were found anemic. 301 anemic children were included post-screening, making up 22.7% of the sample. On the 96th day of follow-up, 8 (2.6%) children were lost to follow-up.

Table 2 shows that before treatment, anemic students had an average Hb% of 10.28±0.56. After treatment, this increased to 12.14±0.86, indicating a significant rise (p=0.0001) with a mean difference of 1.85 in Hb%.

Table 2: Haemoglobin concentration before and after treatment among the participants.
MedicationMean±SDNoMean DiffSD Diffp-value
Before10.28±0.56293-1.850.30.0001*
After12.14±0.86

Table 3 shows an initial serum ferritin level of 75.75±57.04 for anemic students before treatment. After intervention, average Hb% rose to 128.32±70.25, with a mean increase of 52.57, statistically significant (p=0.0001).

Table 3: Ferritin content before and after treatment among the participants.
MedicationMean±SDNoMean DiffSD Diffp-value
Before75.75±57.04293-52.5713.210.0001*
After128.32±70.25

As indicated in Tables 4 and 5, the height, weight and BMI upon 1st-3rd follow up was summarized, the mean difference was found significant level for weight and BMI variables upon screening and follow-up.

Table 4: Pre-treatment Height, Weight and BMI among the participants.
NMeanStd. DeviationMedianMinimumMaximumF (3, 1162)p-value
Height
Screening301117.39318.9842115.5801831.7380.157
1st Follow up292118.55318.8956211680184
2nd Follow up284118.72118.40024116.583184
3rd Follow up290120.85518.694411983184
Weight
Screening30120.56438.9399917.79.8603.2950.02
1st Follow up29221.54119.085641910.361
2nd Follow up28422.15189.0312219.451162.7
3rd Follow up29022.82489.27108201163.2
BMI
Screening30114.28282.0298713.931027.6810.9190
1st Follow up29214.71492.0235614.40510.2527.86
2nd Follow up28415.12991.9567314.911.1328.32
3rd Follow up29015.05542.0179614.74510.5227.56
Table 5: Post treatment Height, Weight and BMI among the participants.
Dependent Variable(I) Follow-up(J) Follow-upMean Difference (I-J)Std. Errorp-value95% Confidence Interval
Lower BoundUpper Bound
WeightScreening1st Follow up-0.976760.746590.191-2.44160.4881
Screening2nd Follow up-1.58743*0.75190.035-3.0627-0.1122
Screening3rd Follow up-2.26049*0.747890.003-3.7279-0.7931
1st Follow up2nd Follow up-0.610660.756890.42-2.09570.8744
1st Follow up3rd Follow up-1.283730.752910.088-2.7610.1935
2nd Follow up3rd Follow up-1.283730.752910.088-2.7610.1935
BMIScreening1st Follow up-.43210*0.165050.009-0.7559-0.1083
Screening2nd Follow up-.84706*0.166220-1.1732-0.5209
Screening3rd Follow up-.77255*0.165340-1.0969-0.4482
1st Follow up2nd Follow up-.41496*0.167330.013-0.7433-0.0867
1st Follow up3rd Follow up-.34045*0.166450.041-0.667-0.0139
2nd Follow up3rd Follow up0.074520.167610.657-0.25430.4034

DISCUSSION

In Ayurveda, anemia treatment balances doshas and boosts vitality by addressing energy imbalances and weak digestion. Medications focus on root causes, improving digestion, nutrient absorption, detoxification, and rejuvenation. Personalized plans aim for overall well-being, but consulting qualified practitioners for tailored treatment is essential.

The combination of Krimikuthara rasa (250 mg), Punarnavamandoora (250 mg), and Draksha avaleha presents an interesting blend of ingredients with potential implications for addressing anemia. While the specific mode of action may vary based on the individual components, here's a general overview of how each ingredient may contribute to the management of anemia:

Krimikuthara rasa

This Ayurvedic preparation often contains herbs like Vidanga (Embelia ribes), Chitraka (Plumbago zeylanica), and Pippali (Piper longum), among others. These herbs are traditionally believed to have anti-parasitic properties and may help in addressing conditions associated with intestinal parasites, which can sometimes lead to anemia due to blood loss or nutrient malabsorption.

Punarnavamandoora

Punarnavamandoora is a classical Ayurvedic formulation commonly used in the management of various disorders, including anemia. It typically contains Punarnava (Boerhavia diffusa) as a key ingredient, which is known for its hematinic properties. Punarnava is believed to enhance hemoglobin levels and red blood cell production, thereby potentially aiding in the treatment of anemia.

Draksha avaleha

Draksha avaleha is an Ayurvedic herbal jam prepared from grapes (Draksha) and various medicinal herbs. Grapes are naturally rich in iron and other nutrients essential for red blood cell formation. Additionally, Draksha avaleha may contain herbs like Guduchi (Tinospora cordifolia) or Ashwagandha (Withania somnifera), which are traditionally used to boost immunity and improve overall health, potentially supporting the body's ability to overcome anemia.

Overall, the probable mode of action of this combination of medicines on anemia may involve a multifaceted approach, including addressing potential underlying causes such as parasitic infections, enhancing red blood cell production, and providing essential nutrients like iron to support hemoglobin synthesis. However, it's important to note that further research, including clinical trials, would be necessary to validate these potential benefits and elucidate the specific mechanisms of action involved.

Subjective parameters

In our study of 7,101 students, 18.6% were anemic. After randomization, 301 anemic students participated. Only 1.96% was lost during the 96-day follow-up. Before treatment, average hemoglobin was 10.28±0.56. After intervention, it increased significantly to 12.14±0.86 (p=0.0001), showing a notable improvement in hemoglobin levels among anemic students.

The study found a considerable increase in hemoglobin levels among anemic students after intervention, with an average rise of 52.57 units. Initial serum ferritin levels showed widespread iron deficiency, averaging 75.75±57.04. Post-intervention hemoglobin levels improved significantly to an average of 128.32±70.25, indicating positive treatment response. Anthropometric measures revealed significant changes in weight and BMI. These results suggest the intervention not only improved hemoglobin but also impacted overall nutrition and body composition. Addressing iron deficiency anemia through targeted interventions is crucial for health improvements in this population. This study shows that intervention effectively boosts hemoglobin levels in anemic students, suggesting its potential for broader community health programs. It also highlights secondary benefits like improved weight and BMI, indicating better overall health. The findings support implementing similar interventions for iron deficiency anemia, especially where access to nutrition and healthcare is limited. However, more research is needed for long-term impact confirmation.

Likewise, Shabadi et al., (2019) found a 27.6% anemia occurrence in Mysore and Chamarajanagara districts, contrasting with Jain et al., (2012) 56.5% in the northern region. Shivaprakash et al., (2014) reported 25.4% in Mandya, adjacent to Mysore. Muthayya et al., (2007) Bangalore study revealed 13.6% prevalence. Shabadi et al. (2019) noted a higher anemia rate in females (36%) than males (19.2%). Basu et al., (2005) Chandigarh study showed 23.9% in females and 7.7% in males. Anand et al., (1999) in Delhi found higher prevalence in boys aged 12-14. Rural areas had higher prevalence (29.9%) than urban (22.7%), as found by Shabadi et al. (2019) Gambar et al., (2003) noted 41.8% in urban slums. Our recent research showed a significant rise in hemoglobin levels post-intervention. Mishra et al., (2022) and Rani et al., (2017) defined anemia similarly. Significant mean differences were observed in weight and BMI. Siva et al., (2016) found higher anemia prevalence among obese individuals, while Pinhas-Hamiel et al., (2003) observed low iron levels in obese children. Conversely, Kordas et al., (2013) noted reduced anemia prevalence among overweight and obese Colombian women.

Shobha et al., (2003) observed a notable prevalence of anemia among Indian teenage girls. Kapoor et al., (1992) reported 50.8% of teenage girls in Delhi government and public schools having anemia. Verma et al., (1998) and Malhotra et al., (1982) found anemia rates ranging between 66.7% and 77% among children aged 5 to 14. Vasanthi et al., (1994) noted higher anemia and iron insufficiency rates among rural adolescent girls compared to urban slum counterparts. Seshadri et al., (1998) found 61% of rural Gujarat adolescent girls to be anemic. Toteja et al., (2006) conducted a multicentric study across sixteen Indian regions, revealing widely varying anemia prevalence among pregnant women (ranging from 33% to 89%) and exceeding 60% among teenage girls.

CONCLUSION

Childhood anemia persists as a major concern in India, demanding immediate attention. Our study focused on anemia prevalence, especially iron levels, in schoolchildren, revealing a significant issue. We urge comprehensive investigations using standardized methods to understand anemia and its causes across India's diverse regions and demographics.

REFERENCES

As published

Showing references and in-text citations exactly as published.

  1. 1.Anand, K.; Kant, S.; Kapoor, S. K.. Nutritional status of adolescent school children in rural north India. Indian Pediatrics. 1999;36(8):810–815.GOOGLE SCHOLAR
  2. 2.Basu, S.; Basu, S.; Hazarika, R.; Parmar, V.. Prevalence of anemia among school going adolescents of Chandigarh. Indian Pediatrics. 2005;42(6):593–597.GOOGLE SCHOLAR
  3. 3.Global health estimates 2014 summary tables: Deaths by cause, age and sex, by WHO region. (2000–2012) p. 2014. World Health Organization.GOOGLE SCHOLAR
  4. 4.Gomber, S.; Bhawna, N.; Madan, N.; Lal, A.; Kela, K.. Prevalence and etiology of nutritional anaemia among school children of urban slums. The Indian Journal of Medical Research. 2003;118:167–171.GOOGLE SCHOLAR
  5. 5.Jain, N.; Jain, V. M.. Prevalence of anemia in school children. Medical Practice and Reviews. 2012;3(1):1–4.GOOGLE SCHOLAR
  6. 6.Kapil, U.; Bhadoria, A. S.. National Iron-plus initiative guidelines for control of iron deficiency anaemia in India, 2013. The National Medical Journal of India. 2014;27(1):27–29.GOOGLE SCHOLAR
  7. 7.Kapoor, G.; Aneja, S.. Nutritional disorders in adolescent girls. Indian Pediatrics. 1992;29(8):969–973.GOOGLE SCHOLAR
  8. 8.Kordas, K.; Fonseca Centeno, Z. Y.; Pachón, H.; Jimenez Soto, A. Z.. Being overweight or obese is associated with lower prevalence of anemia among Colombian women of reproductive age. The Journal of Nutrition. 2013;143(2):175–181. https://doi.org/10.3945/jn.112.167767DOIGOOGLE SCHOLAR
  9. 9.Kozuki, N.; Lee, A. C.; Katz, J.. Moderate to severe, but not mild, maternal anemia is associated with increased risk of small-for-gestational-age outcomes. The Journal of Nutrition. 2012;142(2):358–362. https://doi.org/10.3945/jn.111.149237DOIGOOGLE SCHOLAR
  10. 10.Malhotra, A. K.; Srivastava, R. N.. A study on impact of socioeconomic status on hemoglobin levels of rural school children of district Wardha. Indian Journal of Preventive and Social Medicine. 1982;13:95–99.GOOGLE SCHOLAR
  11. 11.Mishra, S. S.; Upadhayay, P. S.; Tewari, P.. Prevalence of anemia in rural areas children of varanasi district. Uttar Pradesh. 2022.GOOGLE SCHOLAR
  12. 12.Muthayya, S.; Thankachan, P.; Zimmermann, M. B.; Andersson, M.; Eilander, A.; Misquith, D. et al. Low anemia prevalence in school-aged children in Bangalore, South India: Possible effect of school health initiatives. European Journal of Clinical Nutrition. 2007;61(7):865–869. https://doi.org/10.1038/sj.ejcn.1602613DOIGOOGLE SCHOLAR
  13. 13.Park, K.. Chapter 11. Park’s textbook of preventive and social medicine. In Nutrition and health. (24th ed.). Jabalpur, India: M/s Banarsidas Bhanot (pp. 2017;679–680.GOOGLE SCHOLAR
  14. 14.Pinhas-Hamiel, O.; Newfield, R. S.; Koren, I.; Agmon, A.; Lilos, P.; Phillip, M.. Greater prevalence of iron deficiency in overweight and obese children and adolescents. International Journal of Obesity and Related Metabolic Disorders. 2003;27(3):416–418. https://doi.org/10.1038/sj.ijo.0802224DOIGOOGLE SCHOLAR
  15. 15.Rani, J.; Bandrapalli, E.. Study of prevalence of anaemia in school children and factors associated with it. Int. J. Contemp. Med Res. 2017;4(9):1902–1905.GOOGLE SCHOLAR
  16. 16.Seshadri, S.; Anand, A.; Gandhi, H.. Oral iron supplementation to control anemia in adolescent girls: Community trials of effectiveness of daily vs weekly supplementation. Maharaj Sayajirao University of Baroda. 1998;26.GOOGLE SCHOLAR
  17. 17.Shabadi, N.; Thomas, J. J.; Sunil Kumar, D.; Narayana Murthy, M. R.; Shwethashree, M.; Gopi, A.. Anaemia prevalence among school children of southern districts of Karnataka. International Journal of Community Medicine and Public Health. 2019;6(9):4067–4070. https://doi.org/10.18203/2394-6040.ijcmph20194018DOIGOOGLE SCHOLAR
  18. 18.Shivaprakash, N. C.; Joseph, R. B.. Nutritional status of rural school-going children (6–12 years) of Mandya District, Karnataka. Int. J. Sci. Stud. 2014;2(2):39–43.GOOGLE SCHOLAR
  19. 19.Shobha, S.; Sharada, D.. Efficacy of twice weekly iron supplementation in anemic adolescent girls. Indian Pediatrics. 2003;40(12):1186–1190.GOOGLE SCHOLAR
  20. 20.Siva, P. M.; Sobha, A.; Manjula, V. D.. Prevalence of anaemia and its associated risk factors among adolescent girls of central Kerala. Journal of Clinical and Diagnostic Research. 2016;10(11):LC19–LC23. https://doi.org/10.7860/JCDR/2016/20939.8938DOIGOOGLE SCHOLAR
  21. 21.Steer, P. J.. Maternal hemoglobin concentration and birth weight. The American Journal of Clinical Nutrition. 2000;71(5):1285S–1287S. https://doi.org/10.1093/ajcn/71.5.1285sDOIGOOGLE SCHOLAR
  22. 22.Toteja, G. S.; Singh, P.; Dhillon, B. S.; Saxena, B. N.; Ahmed, F. U.; Singh, R. P. et al. Prevalence of anemia among pregnant women and adolescent girls in 16 districts of India. Food and Nutrition Bulletin. 2006;27(4):311–315. https://doi.org/10.1177/156482650602700405DOIGOOGLE SCHOLAR
  23. 23.United Nations Children’s Fund, United Nations University, & World Health Organization.. Iron deficiency anaemia assessment, prevention, and control: A guide for programme managers. World Health Organization (World Health Organization, & N. H. D./01, 3. 2001.GOOGLE SCHOLAR
  24. 24.United Nations Children’s Fund, World Health Organization, the World Bank, & United Nations Population Division.. Levels and trends in child mortality: Report 2014. Estimates developed by the UN Inter-agency Group for Child Mortality Estimation. United Nations Children’s Fund. 2014.GOOGLE SCHOLAR
  25. 25.Vasanthi, G.; Fawashe, A. B.; Susie, H.; Sujatha, T.; Raman, L.. Iron nutritional status of adolescent girls from rural area and urban slum. Hemoglobin (g/dl). 1994;12(2.25):13–0.GOOGLE SCHOLAR
  26. 26.Verma, M.; Chhatwal, J.; Kaur, G.. Prevalence of anemia among urban school children of Punjab. Indian Pediatrics. 1998;35(12):1181–1186.GOOGLE SCHOLAR
  27. 27.World Health Organization.. The global prevalence of anaemia in 2011. World Health Organization.GOOGLE SCHOLAR
  28. 28.World Health Organization C.. Worldwide prevalence of anaemia. 1993–2005.GOOGLE SCHOLAR
  29. 29.World Health Organization.. Global anaemia prevalence and number of individuals affected. Reference source. 2015.GOOGLE SCHOLAR
  30. 30.World Health Organization, United Nations Children’s Fund, United Nations Population Fund, the World Bank, & United Nations Population Division.. Trends in maternal mortality: 1990 to 2010. Estimates by WHO, UNICEF, UNFPA. World Bank and World Health Organization. 2014.GOOGLE SCHOLAR

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Sagare, S. S., Buduru, S. P., Sutagatti, K., & Mulla, Z. (2025). Ayurveda's Impact on Anemia among Rural School Children in Belagavi, Karnataka: An Observational Study. International Journal of Pharmaceutical Investigation, 15(4), 1254–1260. https://doi.org/10.5530/ijpi.20250306