Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
Case Report
Case Series
Editorial
Journal Review
Journal Summary
Letter to Editor
Letter to the Editor
Original Article
Review Article
Summary
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
Case Report
Case Series
Editorial
Journal Review
Journal Summary
Letter to Editor
Letter to the Editor
Original Article
Review Article
Summary
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
Case Report
Case Series
Editorial
Journal Review
Journal Summary
Letter to Editor
Letter to the Editor
Original Article
Review Article
Summary
View/Download PDF

Translate this page into:

Original Article
ARTICLE IN PRESS
doi:
10.25259/KPJ_46_2025

Clinical prevalence of micronutrient deficiency in school-age children: An observational study

Department of Pediatrics, Terna Medical College and Hospital, Navi Mumbai, Maharashtra, India.

*Corresponding author: Karuna Ravindra, Department of Pediatrics, Terna Medical College and Hospital, Navi Mumbai, Maharashtra, India. rkaruna2211@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Ravindra K, Koli C, Samarpita S, Bhoir S, Bhat M, Late P. Clinical prevalence of micronutrient deficiency in school-age children: An observational study. Karnataka Paediatr J. doi: 10.25259/KPJ_46_2025

Abstract

Objectives:

Micronutrient deficiencies represent a significant public health concern, particularly among children in the school-going age group. Children between the ages of 5 and 14 years are especially vulnerable due to increased nutritional demands during periods of rapid growth. This study aims to assess the clinical prevalence of micronutrient deficiencies in school-aged children based on their presenting signs and symptoms and to evaluate any correlation between these deficiencies and their physical growth parameters. (1) To assess the clinical prevalence of micronutrient (vitamins and minerals) deficiencies in school-age children attending the outpatient department of a single tertiary care centre. (2) To evaluate the correlation between clinically suspected micronutrient deficiencies and growth parameters in these children.

Material and Methods:

This cross-sectional observational study was conducted at a single tertiary care centre over 12 months. The study was reviewed and approved by the Institutional Ethics Committee on 22 August 2024 with registered number TMCHRC/Surg/2024/IEC Protocol-02/11. A total of 125 school-age children, between 5 and 14 years, were selected through simple random sampling from those presenting to the outpatient department. After obtaining informed consent from their guardians, data were collected using a pre-validated case record pro forma. The data were analysed descriptively, with calculations of mean, median and percentile distributions. Correlations between suspected micronutrient deficiencies and growth measurements were evaluated using appropriate statistical methods.

Results:

The findings indicate a significant burden of undernutrition, with more than half of the children (51.2%) being underweight. The prevalence of micronutrient deficiencies was high, with iron deficiency (35.2%), zinc deficiency (31.2%), Vitamin A deficiency (21.6%) and Vitamin B12 deficiency (23.2%) being the most commonly observed. Among underweight children (51.2%), deficiencies were prevalent. Dental caries were more common in normal-weight children, possibly reflecting different dietary patterns or access to preventive dental care.

Conclusion:

This study highlights a high prevalence of micronutrient deficiencies in school-aged children. The significant proportion of underweight children reinforces the need for nutritional interventions, including school-based supplementation programmes, dietary education and regular health screenings.

Keywords

Anthropometric parameters
Micronutrient deficiency
Undernutrition

INTRODUCTION

Micro-nutrient deficiencies among school-age children (5–14 years) represent a silent yet significant public health concern in low- and middle-income countries, including India. These deficiencies often manifest without overt clinical symptoms but can profoundly affect growth, immunity cognitive function.[1-3] Key nutrients such as iron, Vitamin A, zinc, Vitamin D and Vitamin B12 are critical for a child’s growth and cognitive development. Inadequate intake or absorption of these micronutrients can lead to various clinical problems, including anaemia, stunted growth, poor academic performance and long-term developmental delay.

In India, dietary patterns are frequently dominated by calorie-rich but nutrient-poor meals, exacerbated by socioeconomic disparities, limited access to fortified foods and poor dietary diversity.[4,5] This has led to the persistence of ‘hidden hunger’ - a form of undernutrition where children meet caloric needs but fall short on essential micronutrients.[6,7] Despite national programmes focusing on early childhood nutrition, school-age children are often left out of routine nutritional surveillance and intervention strategies.[8,9]

In addition, cultural feeding practices, reduced outdoor activity and sedentary lifestyles further contribute to micronutrient inadequacies in this group.[10,11] There is a paucity of data from clinical settings assessing micronutrient status among school-going children, particularly through physical examination and observed clinical symptoms. This study addresses that gap by evaluating the clinical prevalence of key micronutrient deficiencies in children attending a tertiary care hospital. Findings from this analysis are expected to guide local nutrition policies and school-based interventions.[12,13]

Aims and objectives

  1. To assess the clinical prevalence of micronutrient (vitamins and minerals) deficiencies in school-age children attending the outpatient department of a tertiary care centre

  2. To evaluate the correlation between clinically suspected micronutrient deficiencies and growth parameters in these children.

Inclusion criteria

  1. Children aged 5–14 years attending the outpatient department for any reason

  2. Children whose parents or guardians provide informed consent for participation in the study.

Exclusion criteria

  1. Children with known chronic illnesses, including but not limited to renal, hepatic or cardiac diseases

  2. Children with congenital anomalies or syndromic conditions affecting growth

  3. Children receiving long-term nutritional supplementation or medications known to affect growth or nutrient absorption.

MATERIAL AND METHODS

This cross-sectional observational study was conducted at a single tertiary care centre over 12 months. The study was reviewed and approved by the Institutional Ethics Committee on 22 August 2024 with registered number TMCHRC/Surg/2024/IEC Protocol-02/11. A total of 125 school-age children, between 5 and 14 years, were selected through simple random sampling from those presenting to the outpatient department. After obtaining informed consent from their parents or guardians, data were collected using a pre-validated case record pro forma.

Clinical evaluation focused on identifying signs and symptoms suggestive of micronutrient deficiencies, including but not limited to pallor, glossitis, angular stomatitis, skin changes and signs of rickets. Anthropometric measurements, including weight, height and body mass index (BMI), were recorded for each participant. Growth parameters were assessed in relation to standardised percentile charts.

The data were analysed descriptively, with calculations of mean, median and percentile distributions for anthropometric and clinical findings. Correlations between suspected micronutrient deficiencies and growth measurements were evaluated using appropriate statistical methods.

This was a purely observational study with no interventions or administration of investigational drugs.

RESULTS

The results are based on data collected from 125 school-going children. Tables 1-4 summarise anthropometric measurements, dietary patterns and clinically observed signs of micronutrient deficiency.

Table 1: Demographic characteristics of school-going children (n=125).
Variable n Mean SD
Age (years) 125 7.73 2.09
Height (cm) 125 120.28 13.25
Weight (kg) 125 27.84 8.34
BMI (kg/m2) 125 18.97 3.88
BMI Z-score (WHO) 125 −0.42 1.15

SD: Standard deviation, WHO: World Health Organization, BMI: Body mass index

Table 2: Sex-wise distribution of demographic and nutritional variables (n=125).
Variable Girls (n=62) % Boys (n=63) % Total Chi-square-test P-value (95% CI)
Age (years)
  5–9 53 85.5 42 66.7 95 6.066 0.014 (0.003–0.065)
  10–14 9 14.5 21 33.3 30
BMI (Z-score)
  Underweight (<−2 SD) 38 61.3 26 41.3 64 6.667 0.083 (0.012–0.192)
  Normal (−2 to +1 SD) 19 30.6 32 50.8 51
  Overweight (>+1 SD) 4 6.5 5 7.9 9
  Obese (>+2 SD) 1 1.6 0 0.0 1
Diet pattern
  Vegetarian 26 41.9 25 39.7 51 0.066 0.798 (0.412–0.941)
  Non-vegetarian 36 58.1 38 60.3 74

CI: Confidence interval, The age difference is significant with a P-value of 0.014 (i.e. less than 0.05)

Table 3: Clinical signs of micronutrient deficiencies (n=125).
Deficiency sign Girls (n=62) Percentage Boys (n=63) Percentage Total (n=125) P-value (95% CI)
Iron deficiency (pica) 23 37.1 21 33.3 44 (35.2) 0.660 (0.31–0.98)
Zinc deficiency (skin/hair) 19 30.6 20 31.7 39 (31.2) 0.894 (0.42–1.17)
Vitamin A deficiency 15 24.2 12 19.0 27 (21.6) 0.493 (0.27–1.26)
Vitamin B12 deficiency 16 25.8 13 20.6 29 (23.2) 0.491 (0.29–1.41)
Vitamin D deficiency 13 21.0 11 17.5 24 (19.2) 0.642 (0.33–1.39)
Vitamin B deficiency 13 21.0 11 17.5 24 (19.2) 0.642 (0.33–1.39)
Vitamin C deficiency 3 4.8 2 3.2 5 (4.0) 0.682 (0.18–2.15)
Dental caries 25 40.3 24 38.1 49 (39.2) 0.808 (0.45–1.72)

CI: Confidence interval, P-value is not significant.

Table 4: Association of underweight with micronutrient deficiencies.
Deficiency Underweight (n=64) Percentage Normal/overweight (n=61) Percentage P-value (95% CI)
Iron deficiency 22 34.4 22 36.1 0.846 (0.44–1.56)
Zinc deficiency 19 29.7 20 32.8 0.718 (0.39–1.44)
Vitamin A deficiency 11 17.2 16 26.2 0.227 (0.54–1.91)
Vitamin B12 deficiency 13 20.3 16 26.2 0.434 (0.48–1.94)
Vitamin D deficiency 9 14.1 15 24.6 0.144 (0.64–2.11)
Vitamin B deficiency 13 20.3 11 18.0 0.749 (0.41–1.83)
Vitamin C deficiency 2 3.1 3 4.9 0.593 (0.28–2.57)
Dental caries 26 40.6 23 37.7 0.745 (0.49–1.89)

CI: Confidence interval, P-value is not significant.

Demographic characteristics

A total of 125 school-going children were enrolled in the study. The mean age was 7.73 years (Standard deviation [SD] = 2.09), with average height 120.28 cm (SD = 13.25), mean weight 27.84 kg (SD = 8.34) and mean BMI 18.97 (SD = 3.88). These values reflect a diverse nutritional status ranging from underweight to obese categories.

The mean age of children was 7.73 years, with average height 120.28 cm and weight 27.84 kg. The mean BMI was 18.97, corresponding to a BMI Z-score of −0.42. This indicates that the study group included both undernourished and overweight children, reflecting a heterogeneous nutritional profile.

Girls were predominantly in the 5–9 years of age group (85.5%), whereas boys had a higher share in the 10–14 years of age group (33.3%). This age difference was statistically significant (P = 0.014). Underweight prevalence was higher among girls (61.3%) compared to boys (41.3%), whereas more boys were in the normal BMI category. Although not statistically significant (P = 0.083), the trend suggests greater vulnerability of girls to undernutrition. Overweight and obesity were relatively uncommon (8%). Dietary habits showed no significant sex differences (P = 0.798).

Micronutrient deficiencies were widespread, with iron deficiency (35.2%) and zinc deficiency (31.2%) being the most prevalent. Vitamin B12 (23.2%), Vitamin A (21.6%) and Vitamin D (19.2%) deficiencies were also frequent. Vitamin C deficiency was rare (4%). No statistically significant differences were found between boys and girls, suggesting that deficiencies affected both sexes equally. Dental caries, present in 39.2%, highlighted inadequate dietary intake and oral health practices across the study group.

Underweight children (n = 64) showed high rates of iron deficiency (34.4%), zinc deficiency (29.7%) and vitamin deficiencies. However, these rates were comparable to those seen in children with normal or higher BMI. None of the associations were statistically significant (all P > 0.1). This finding indicates that micronutrient deficiencies were prevalent across all BMI categories, not restricted to underweight children, highlighting widespread dietary inadequacy in the community.

Overall summary of findings

The present study revealed that while the average BMI of the schoolchildren was within the normal range, the Z-score distribution highlighted a considerable burden of undernutrition, especially among girls. Micronutrient deficiencies were common across the cohort, with iron and zinc deficiency being the most prevalent. Surprisingly, the prevalence of deficiencies was similar across BMI categories, indicating that even children with apparently normal nutritional status were at risk. These findings underscore the double burden of malnutrition, where undernutrition and micronutrient deficiencies coexist, emphasising the need for community-level interventions focused on dietary diversification, supplementation and health education.

DISCUSSION

This study highlights a considerable burden of clinically observed micronutrient deficiencies in school-age children. Iron deficiency can severely compromise cognitive and physical performance, particularly in a learning environment.[1] Contrary to expectations, BMI and dietary classification (vegetarian vs. non-vegetarian) did not show a statistically significant association with deficiency status. This supports the idea that ‘hidden hunger’ can affect children across nutritional and dietary profiles, and anthropometric measurements alone are insufficient for diagnosis.[6,10] Notably, over half of the participants were underweight, and iron deficiency, indicated by the presence of pica, was the most prevalent, consistent with findings from national nutrition surveys.[7,9,11]

The high prevalence of zinc and Vitamin B12 deficiency also aligns with prior studies linking these nutrients to immune competence, appetite regulation and neural development.[12] These findings are in line with earlier rural and urban surveys in India, reinforcing the need for holistic public health approaches to childhood nutrition.[13,14] Interestingly, Vitamin B12 deficiency was present even among non-vegetarian children, pointing to possible issues with food quality, bioavailability or meal frequency.[15] Regular basis deworming and iron fortification of the food will have significant impact on improving the iron status of these children.[16,17]

Vitamin A and D deficiencies remain problematic despite national fortification and supplementation programmes. Reduced sunlight exposure, especially in urban populations and a lack of nutrient-rich foods may explain the persistent levels of Vitamin D insufficiency.[18,19] The widespread incidence of dental caries (39.2%) reflects not just oral hygiene deficits but also dietary quality issues and possible calcium or Vitamin D deficiency.[20] Effective interventions must include school-level screening,nutrition counseling and targeted supplementation, particularly in under-resourced settings.

Contrary to expectations, BMI and dietary classification (vegetarian vs. non-vegetarian) did not show a statistically significant association with deficiency status. This supports the idea that ‘hidden hunger’ can affect children across nutritional and dietary profiles, and anthropometric measurements alone are insufficient for diagnosis.[6,11]

These findings are in line with earlier rural and urban surveys in India, reinforcing the need for holistic public health approaches to childhood nutrition.[13,14,16] Effective interventions must include school-level screening, nutrition counseling and targeted supplementation, particularly in under-resourced settings.[5,9]

Strengths and limitations

The strength of this study lies in its attempt to clinically evaluate multiple micronutrient deficiencies in a single, school-age cohort using a structured approach.

However, the study has certain limitations that should be acknowledged.

  1. It was a single tertiary care centre, which may not fully represent the broader community.

  2. Micronutrient deficiencies were assessed primarily through clinical signs and symptoms rather than biochemical assays due to financial constraints and the invasive nature of biochemical assays.

CONCLUSION

The findings of this study underscore a significant burden of micronutrient deficiencies among school-going children, particularly iron, zinc, Vitamin A, Vitamin D and Vitamin B12. These deficiencies were observed across BMI categories and diet types, highlighting the pervasive nature of hidden hunger.

Routine clinical screening in schools, fortified mid-day meals and parent-focused nutrition education are essential to improve the academic performance and overall health of these children. The screening programmes can identify children at risk for health issues and facilitate timely intervention. Healthy eating habits and regular physical activities through school programmes can significantly decrease the risk of chronic diseases in later life. Public health programmes should prioritise school-age children as a critical target group to prevent long-term developmental consequences and improve educational performance.

Ethical approval:

The research/study approved by the Institutional Review Board at Terna Medical College and Hospital, number TMCHRC/Surg/2024/IEC Protocol-02/11, dated 22nd August 2024.

Declaration of patient consent:

The authors certify that they have obtained all appropriate patient consent.

Conflicts of interest:

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation:

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

Financial support and sponsorship: Nil.

References

  1. . Micro-nutrient deficiencies. . Geneva: WHO; Available from: https://www.who.int/health-topics/micro-nutrients [Last accessed on 2025 Jul 02]
    [Google Scholar]
  2. . National family health survey (NFHS-5), 2019 Vol 21. India, Mumbai: IIPS; .
    [Google Scholar]
  3. , , , , . Status of iodine deficiency disorder in district Udham Singh Nagar, Uttarakhand state India. Indian J Endocrinol Metab. 2011;15:116-9.
    [Google Scholar]
  4. , , , . Micro-nutrient deficiency and its correlates among school children in India. Indian J Pediatr. 2020;87:123-9.
    [Google Scholar]
  5. , , , , , . Guidelines on food fortification with micronutrients Switzerland: World Health Organization; . p. :1-341.
    [Google Scholar]
  6. , , , , , . Impact of weekly iron and folic acid supplementation with counseling in adolescent girls: A large-scale effectiveness study. Nutr Rev. 2008;66:S153-9.
    [Google Scholar]
  7. , , . National iron plus initiative: Current status and future strategy. Indian J Med Res. 2019;150:239-47.
    [CrossRef] [PubMed] [Google Scholar]
  8. , , , , , , et al. Evidence-based interventions for improvement of maternal and child nutrition. Lancet. 2013;382:452-77.
    [CrossRef] [PubMed] [Google Scholar]
  9. . The State of the World's Children In: Children, food and nutrition: Growing well in a changing world. New York: UNICEF; .
    [Google Scholar]
  10. , , , , , , et al. An educational intervention to promote appropriate complementary feeding practices and physical growth in infants and young children in rural Haryana, India. J Nutr. 2004;134:2342-8.
    [CrossRef] [PubMed] [Google Scholar]
  11. , , , , , , et al. Maternal and child undernutrition: global and regional exposures and health consequences. Lancet. 2008;371:243-60.
    [CrossRef] [PubMed] [Google Scholar]
  12. , , . Effects of micro-nutrients on growth of children under 5 years of age: Meta-analyses of single and multiple nutrient interventions. Am J Clin Nutr. 2009;89:191-203.
    [CrossRef] [PubMed] [Google Scholar]
  13. . Diet and nutritional status of population and prevalence of hypertension among adults in rural areas In: NNMB Tecnical Report no 24. Hyderabad: National Institute of Nutrition; . p. :39-45.
    [Google Scholar]
  14. , , , , . Nutritional status of rural children (5-14 years) in Uttar Pradesh. Indian J Prev Soc Med. 2011;42:60-7.
    [Google Scholar]
  15. , , . Prevalence of micro-nutrient deficiency in urban school children: A cross-sectional study. Int J Contemp Pediat. 2018;5:423-8.
    [Google Scholar]
  16. , , . Effect of iron supplementation on mental and motor development in children: Systematic review of randomised controlled trials. Public Health Nutr. 2005;8:117-32.
    [CrossRef] [PubMed] [Google Scholar]
  17. , , , , , . Population deworming every 6 months with albendazole in 1 million pre-school children in India: DEVTA, a cluster-randomised trial. Lancet. 2013;381:1478-86.
    [CrossRef] [PubMed] [Google Scholar]
  18. , , . Determinants of nutritional status of pre-school children in India. J Biosoc Sci. 2008;40:801-14.
    [CrossRef] [PubMed] [Google Scholar]
  19. . Modeling the effects of health status and socioeconomic characteristics on school enrollment and dropout: An analysis of longitudinal data from Vietnam. J Dev Econ. 1994;45:199-221.
    [Google Scholar]
  20. , , . Global and regional child mortality and burden of disease attributable to zinc deficiency. Eur J Clin Nutr. 2009;63:591-7.
    [CrossRef] [PubMed] [Google Scholar]
Show Sections