Evaluation of Undernutrition among School-Aged Children in Dutse, Nigeria: A Comparative Cross-sectional Study
DOI:
https://doi.org/10.54103/2282-0930/31031Keywords:
anthropometry, AnthroPlus, body mass index, stunting, z-scoresAbstract
Background: School-age children in low and middle-income countries face high risks of malnutrition, affecting their growth, cognition, and long-term health. This study compared the nutritional status of government and private primary school pupils in Dutse, Jigawa State, Nigeria, using raw anthropometric indices and World Health Organisation (WHO) AnthroPlus Z-score indicators.
Methods: A cross-sectional comparative study was conducted among 500 children aged 5–12 years selected from one government and one private primary school. Weight, height, body mass index (BMI), waist circumference and hip circumference were measured using standardised procedures. Mean differences by sex, age group, and school type were assessed using independent t-tests. Weight-for-age (WAZ), height-for-age (HAZ), and BMI-for-age (BAZ) Z-scores were generated using WHO AnthroPlus and interpreted according to WHO reference standards.
Results: Raw anthropometric measures showed limited differences between groups, with BMI largely comparable across schools and sexes. In contrast, WHO AnthroPlus Z-scores revealed substantial undernutrition. Stunting prevalence was considerably higher among government school pupils than private school pupils, particularly among children aged 10–12 years (65.1% vs. 38.2%). Government school girls aged 10–12 years exhibited the highest burden of stunting, with over 80% below −2 standard deviation for HAZ.
Conclusion: WHO AnthroPlus Z-scores detected significant growth deficits not revealed by crude anthropometric measures. Routine use of standardised growth references is essential for accurate nutritional assessment, and targeted interventions should prioritise government school pupils, particularly girls, among Nigerian school-aged children.
Downloads
References
Bhattacharya A, Pal B, Mukherjee S, Roy SK. Assessment of nutritional status using anthropometric variables by multivariate analysis. BMC Public Health 2019;19:1045. doi.org/10.1186/s12889-019-7372-2
Muller O, Krawinkel M. Malnutrition and health in developing countries. CMAJ 2005;173:279–86. doi.org/10.1503/cmaj.050342
Martins VJ, Toledo-Florencio TM, Grillo LP, do Carmo P Franco M, et al. Long-lasting effects of undernutrition. Int J Environ Res Public Health 2011;8:1817–46. doi.org/10.3390/ijerph8061817
Akseer N, Al-Gashm S, Mehta S, Mokdad A, Bhutta ZA. Global and regional trends in the nutritional status of young people: A critical and neglected age group. Ann N Y Acad Sci 2017;1393:3–20. doi.org/10.1111/nyas.13336
Nel JH, Steyn NP. The nutrition transition and the double burden of malnutrition in sub-Saharan African countries: How do these countries compare with the recommended Lancet Commission global diet? Int J Environ Res Public Health 2022;19:16791. doi.org/10.3390/ijerph192416791
Chiopris G, Chiopris C, Valenti M, Esposito S. Determinants of undernutrition among children admitted to a pediatric hospital in Port Sudan, Sudan. Nutrients 2024;16:787. doi.org/10.3390/nu16060787
Pretorius SS, Neophytou N, Watson ED. Anthropometric profiles of 8–11-year-old children from a low-income setting in South Africa. BMC Public Health 2019;19:314. doi.org/10.1186/s12889-019-6530-x
Bharati S, Pal M, Bhattacharya BN, Bharati P. Prevalence and causes of chronic energy deficiency and obesity in Indian women. Hum Biol 2007;79:395–412. doi.org/10.1353/hub.2007.0048
de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, et al. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ 2007;85:660–7. doi.org/10.2471/blt.07.043497
World Health Organization. Growth reference data for 5–19 years [monograph on the Internet]. Geneva: WHO; 2007 [Cited 2025 Feb 8]. Available from: https://www.who.int/tools/growth-reference-data-for-5to19-years/application-tools
Iheme GO. The undernutrition situation of school-age children in Nigeria: A systematic regional analysis. Curr Nutr Food Sci 2021;17:826–32. doi.org/10.2174/1573401317666210216114311
Umeokonkwo AA, Ibekwe MU, Umeokonkwo CD, Okike CO, Ezeanosike OB, et al. Nutritional status of school-age children in Abakaliki metropolis, Ebonyi State, Nigeria. BMC Pediatr 2020;20:114. doi.org/10.1186/s12887-020-1994-5
Dapi LN, Janlert U, Nouedoui C, Stenlund H, Håglin L. Socioeconomic and gender differences in adolescents’ nutritional status in urban Cameroon, Africa. Nutr Res 2009;29:313–9. doi.org/10.1016/j.nutres.2009.05.002
United Nations Children’s Fund. Malnutrition rates in children under 5 years [monograph on the Internet]. New York: UNICEF; 2013 [Cited 2025 Apr 19]. Available from: https://www.unicef.org/nigeria/media/1646/file/Nigeria-equity-profile-nutrition.pdf.
United Nations Children’s Fund. UNICEF Hands Over Ready to Use Therapeutic Foods (RUTF) to Jigawa State Government to Combat Malnutrition among Children [monograph on the Internet]. New York: UNICEF; 2024 [Cited 2025 Apr 19]. Available from: https://www.unicef.org/nigeria/press-releases/unicef-hands-over-ready-use-therapeutic-foods-rutf-jigawa-state-government-combat
Abubakar HA, Shahril MR, Mat S. Nutritional status and dietary intake among Nigerian adolescent: a systematic review. BMC Public Health 2024;24:1764. doi.org/10.1186/s12889-024-19219-w
Naing L, Winn T, Rusli BN. Practical issues in calculating the sample size for prevalence studies. Arch Orofac Sci 2006;1:9–14.
Weiner JS, Lourie JA. Human biology: A guide to field methods. Oxford: Blackwell Scientific Publishers; 1969.
Marks GC, Habicht JP, Mueller WH. Reliability, dependability and precision of anthropometric measurements: The second National Health and Nutrition Execution Survey, 1975–1980. Am J Epidemiol 1989;130:578–87. doi.org/10.1093/oxfordjournals.aje.a115372
World Health Organization. Waist circumference and waist–hip ratio: Report of a WHO expert consultation, Geneva, 8–11 December 2008 [monograph on the Internet]. Geneva: WHO; 2011 [Cited 2025 Jan 11]. Available from: https://iris.who.int/server/api/core/bitstreams/ca408ade-05c9-4b7c-8967-6ee5b5e0ccd8/content
Senbanjo IO, Oshikoya KA, Odusanya OO, Njokanma OF. Prevalence of and risk factors for stunting among school children and adolescents in Abeokuta, southwest Nigeria. J Health Popul Nutr 2011;29:364–70. doi:10.3329/jhpn.v29i4.8452
Akombi BJ, Agho KE, Merom D, Renzaho AMN, Hall JJ. Child malnutrition in sub-Saharan Africa: A meta-analysis of demographic and health surveys (2006–2016). PLoS One 2017;12:e0177338. doi.org/10.1371/journal.pone.0177338
Smith LC, Ruel MT, Ndiaye A. Why is child malnutrition lower in urban than in rural areas? Evidence from 36 developing countries. World Dev 2005;33:1285–305. doi.org/10.1016/j.worlddev.2005.03.002
Dinsa GD, Goryakin Y, Fumagalli E, Suhrcke M. Obesity and socioeconomic status in developing countries: A systematic review. Obes Rev 2012;13:1067–79. doi.org/10.1111/j.1467-789X.2012.01017.x
Mushtaq MU, Gull S, Khurshid U, Shahid U, Shad MA, et al. Prevalence and socioeconomic correlates of overweight and obesity among Pakistani primary school children. BMC Public Health 2011;11:724. doi.org/10.1186/1471-2458-11-724
Wells JCK. Sexual dimorphism of body composition. Best Pract Res Clin Endocrinol Metab 2007;21:415–30. doi.org/10.1016/j.beem.2007.04.007
Oyewole OA, Adediran AS, Oduwole AO. Effects of nutritional and socioeconomic status on puberty. Niger J Basic Clin Sci 2023;20:40–5. doi:10.4103/njbcs.njbcs_39_22
Bhutta ZA, Das JK, Rizvi A, Gaffey MF, Walker N, et al. Evidence-based interventions for improvement of maternal and child nutrition: What can be done and at what cost? Lancet 2013;382:452–77. doi.org/10.1016/S0140-6736(13)60996-4
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Shukurana A. Sulaiman, Naziru S. Adam, Bilal M. Yunusa , Sadiya U. Balogun

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Accepted 2026-05-11
Published 2026-06-15


