Anthropometric indices have become practical tools for evaluating the nutritional status of populations. Understanding the nutritional status of children has far-reaching implications for promoting the health of future generations. The necessity for routine blood pressure screening in children was debated in the past, the main argument against it being that essential hypertension is an adult disease and there was no evidence that screening apparently healthy children for hypertension is rewarding. Its value as a screening tool for hypertension in adults has long been documented. This study has been designed to assess the relationship between nutritional status and blood pressure among apparently healthy primary school pupils aged 6–12 years in Zaria Local Government Area, Kaduna State. The study was conducted on 219 pupils randomly selected from public and private schools using a table of random numbers. Blood pressure was measured after 5 minutes of rest in the sitting position with an aneroid sphygmomanometer and a cuff suitable to the pupil’s arm circumference according to WHO standard procedures. Nutritional and growth status were determined using z-score for BMI-for-age and height-for-age (HA). Pearson correlation was used to determine the correlation coefficients between anthropometric indices and blood pressure parameters. Study findings revealed a z-score of < -3 in 4.34% (n=5) of boys and 1.92% (n=2) of girls as severe wasting while severe stunting was recorded to be 2.61% (n=3) in boys and 1.92% (n=2) in girls. Significant differences (P ≤ 0.05) were not observed between severe thinness or stunting between boys and girls P ≤ 0.05 level of significant. Pearson correlation revealed a positive correlation between weight and Systolic BPs, Diastolic BPs and mean arterial pressures of the subjects (r=0.77, 0.61, and 0.74 respectively). The study found out that severe malnutrition exists among the pupils, as significant percentages of the school children were thin and stunted. Blood pressure increased with age and was higher among pupils from private schools than among those from public schools.
| Published in | World Journal of Public Health (Volume 11, Issue 3) |
| DOI | 10.11648/j.wjph.20261103.22 |
| Page(s) | 329-338 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2026. Published by Science Publishing Group |
Nutritional Status, Blood Pressure, Anthropometry, School Pupils, BMI-For-Age, Height-For-Age
Parameters | Private schools N=91 | Public schools N=128 | All schools N=219 | |||
|---|---|---|---|---|---|---|
Boys n=48 | Girls n=43 | Boys n=67 | Girls n=61 | Boys n=115 | Girls n=104 | |
Weight (kg) | 27.05±0.27a | 27.57±0.57a | 27.09±0.78a | 24.71±0.59d | 26.92±0.48b | 25.96±0.32c |
Height (cm) | 134.56±1.73a | 132.23±1.77b | 129.90±1.39c | 127.82±1.78d | 131.13±1.49b | 129.94±1.84c |
MUAC (cm) | 170.25±1.73a | 170.26±1.09a | 167.94±2.85b | 167.68±1.23b | 168.55±1.34b | 169.05±0.84a |
BMI (kg/m2) | 14.73±1.39b | 15.24±2.00a | 15.93±2.24a | 14.86±1.69b | 15.46±2.00a | 15.06±1.86a |
SBP (mmHg) | 93.13±1.73a | 89.69±1.93c | 91.33±1.09b | 88.48±1.91c | 91.85±1.52b | 89.15±1.12c |
DBP (mmHg) | 59.41±1.51a | 57.02±1.24b | 57.76±1.85b | 56.08±1.16c | 57.14±1.54b | 56.46±1.39c |
MAP (mmHg) | 69.99±1.69a | 67.91±1.87c | 68.28±0.28b | 66.88±1.69e | 68.71±1.78d | 67.35±1.18c |
NUTRITIONAL STATUS CLASSIFICATIONS | Private schools N=91 | Public schools N=128 | All schools N=219 | |||
|---|---|---|---|---|---|---|
Boys n=48 | Girls n=43 | Boys n=67 | Girls n=61 | Boys n=115 | Girls n=104 | |
F (%) | F (%) | F (%) | F (%) | F (%) | F (%) | |
SEVERE WASTING | 2 (4.17) | 0 (0.00) | 3 (4.48) | 2 (3.27) | 5 (4.34) | 2 (1.92) |
MODERATE WASTING | 7 (14.58) | 8 (18.60) | 2 (2.98) | 6 (9.84) | 9 (7.83) | 14 (13.46) |
MILD WASTING | 19 (39.58) | 7 (16.28) | 17 (25.37) | 15 (24.59) | 36 (31.30) | 22 (21.11) |
NORMAL | 20 (41.57) | 28 (65.12) | 39 (58.21) | 38 (62.29) | 59 (51.30) | 66 (63.46) |
OVER WEIGHT | 0 (0.00) | 0 (0.00) | 2 (2.98) | 0 (0.00) | 2 (1.74) | 0 (0.00) |
OBESITY | 0 (0.00) | 0 (0.00) | 4 (5.97) | 0 (0.00) | 4 (3.47) | 0 (0.00) |
TOTAL | 48 (100) | 43 (100) | 67 (100) | 61 (100) | 115 (100) | 104 (100) |
CLASSIFICATION OF STUNTING | Private school N=91 | Public school N=128 | All schools N=219 | |||
|---|---|---|---|---|---|---|
Boys n=48 | Girls n=43 | Boys n=67 | Girls n=61 | Boys n=115 | Girls n=104 | |
F (%) | F (%) | F (%) | F (%) | F (%) | F (%) | |
MILD | 9 (13.43) | 8 (13.11) | 12 (27.90) | 18 (41.86) | 21 (18.26) | 26 (25.00) |
MODERATE | 0 (0.00) | 0 (0.00) | 15 (31.25) | 11 (25.58) | 15 (13.04) | 11 (10.57) |
SEVERE | 0 (0.00) | 0 (0.00) | 3 (6.25) | 2 (4.65) | 3 (2.61) | 2 (1.92) |
TOTAL | 9 (13.43) | 8 (13.11) | 30 (62.50) | 31 (31.00) | 39 (33.91) | 39 (37.50) |
SYSTOLIC BLOOD PRESSURE | DIASTOLIC BLOOD PRESSURE | |||||
|---|---|---|---|---|---|---|
NORMAL F (%) | PRE-HTN F (%) | HTN F (%) | NORMAL F (%) | PRE-HTN F (%) | HTN F (%) | |
PRIVATE SCHOOLS | ||||||
BOYS n=48 | 41 (85.42) | 7 (14.58) | 0 (0.00) | 31 (64.58) | 12 (25.00) | 5 (10.42) |
GIRLS n=43 | 41 (95.35) | 2 (4.65) | 0 (0.00) | 28 (62.79) | 15 (34.88) | 9 (0.00) |
ALL n=91 | 82 (90.10) | 9 (9.89) | 0 (0.00) | 59 (64.83) | 27 (29.67) | 5 (5.49) |
PUBLIC SCHOOLS | ||||||
BOYS n=67 | 55 (82.09) | 6 (8.96) | 6 (8.96) | 42 (62.68) | 25 (37.31) | 0 (0.00) |
GIRLS n=61 | 52 (85.25) | 7 (11.47) | 2 (3.28) | 41 (67.21) | 19 (31.15) | 1 (1.64) |
ALL n=128 | 107 (83.59) | 13 (10.16) | 8 (6.25) | 83 (64.84) | 4 (3.13) | 1 (0.78) |
ALL SCHOOLS | ||||||
BOYS n=115 | 96 (83.48) | 13 (11.30) | 6 (5.22) | 73 (63.47) | 37 (32.17) | 5 (4.35) |
GIRLS n=104 | 93 (89.42) | 9 (8.65) | 2 (1.92) | 69 (66.35) | 34 (32.69) | 1 (0.96) |
ALL n=219 | 189 (86.30) | 22 (10.05) | 8 (3.65) | 142 (64.84) | 71 (32.42) | 6 (2.74) |
Parameters | PRIVATE SCHOOLS | PUBLIC SCHOOLS | ALL SCHOOLS | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BOYS n=48 r-value | GIRLS n=43 r-value | BOYS n=67 r-value | GIRLS n=61 r-value | n=219 r-value | |||||||||||
SBP | DBP | MAP | SBP | DBP | MAP | SBP | DBP | MAP | SBP | DBP | MAP | SBP | DBP | MAP | |
Weight (Kg) | 0.73* | 0.80 | 0.81 | 0.81* | 0.76 | 0.81 | 0.76* | 0.62 | 0.72 | 0.81* | 0.62* | 0.73* | 0.77* | 0.61 | 0.74* |
Height (cm) | 0.73 | 0.82* | 0.83* | 0.79 | 0.79* | 0.82* | 0.67 | 0.62 | 0.72 | 0.73 | 0.60 | 0.69 | 0.71 | 0.67* | 0.73 |
MUAC (cm) | 0.65 | 0.52 | 0.07 | 0.72 | 0.63 | 0.68 | 0.67 | 0.62 | 0.68 | 0.77 | 0.58 | 0.69 | 0.67 | 0.61 | 0.67 |
BMI (kg/m2) | 0.51 | 0.53 | 0.55 | 0.72 | 0.62 | 0.68 | 0.61 | 0.58 | 0.62 | 0.63 | 0.43 | 0.53 | 0.52 | 0.39 | 0.46 |
BMI | Body Mass Index |
DBP | Diastolic Blood Pressure |
HTN | Hypertension |
MAP | Mean Arterial Pressure |
MUAC | Mid Upper Arm Circumference |
PRE-HTN | Pre-hypertension |
SBP | Systolic Blood Pressure |
| [1] |
Abena S. Prevalence of hypertensive disorders, associated risk factors and effect of specific organ function among adolescents in some selected senior high schools in Ashanti Region of Ghana [master's thesis]. Kumasi (Ghana): Kwame Nkrumah University of Science and Technology; 2017. Available from:
http://ir.knust.edu.gh/xmlui/handle/123456789/11049 Accessed 2020 May 25. |
| [2] | Aglony M, Acevedo M, Ambrosio G. Hypertension in adolescents. Expert Rev Cardiovasc Ther. 2009; 7: 1595-603. |
| [3] | Akor F, Okolo SN, Okolo AA. Blood pressure and anthropometric measurements in healthy primary school entrants in Jos, Nigeria. S Afr J Child Health. 2010; 4: 42-45. Available from: |
| [4] | Also U, Asani M, Ibrahim M. Prevalence of elevated blood pressure among primary school children in Kano Metropolis, Nigeria. Niger J Cardiol. 2016; 13: 57-61. |
| [5] | Amma GM, Vasudevan B, Akshayakumar S. Prevalence and determinants of prehypertension and hypertension among adolescents: a school-based study in a rural area of Kerala, India. Int J Res Med Sci. 2015; 3: 58-64. |
| [6] | Batisky DL. Obesity and the role of lifestyle and dietary intervention in the management of paediatric hypertension. J Med Liban. 2010; 58: 171-174. Available from: |
| [7] | Bugaje AM, Yakubu AM, Ogala WN. Prevalence of adolescent hypertension in Zaria. Niger J Paediatr. 2005; 32(4): 77-82. |
| [8] | Chiolero A, Madeleine G, Gabriel A, Burnier M, Paccaud F, Bovet P. Prevalence of elevated blood pressure and association with overweight in children of a rapidly developing country. J Hum Hypertens. 2007; 21: 120-127. |
| [9] | Chmielewski J, Carmody JB. Dietary sodium, dietary potassium and systolic blood pressure in US adolescents. J Clin Hypertens (Greenwich). 2017; 19: 904-909. |
| [10] | Chukwujekwu IE, Ezejindu DN, Nwosu NM. Anthropometric study of weight, height and blood pressure in children from Nnewi North Local Government Area. Int J Sci Res Publ. 2014; 4. Available from: |
| [11] | Ejike CECC. Prevalence of hypertension in Nigerian children and adolescents: a systematic review and trend analysis of data from the past four decades. J Trop Pediatr. 2017; 63: 229-241. |
| [12] | Emmanuel EE, Dada SA, Amu EO, Aduayi VA, Atoyebi OA, Marcus O. Hypertension and its correlates among in-school adolescents in Ekiti State, South-West Nigeria. Asian J Med Sci. 2017; 8: 1-5. |
| [13] | Evans AE, Springer AE, Evans MH, Ranjit N, Hoelscher DM. A descriptive study of beverage consumption among an ethnically diverse sample of public school students in Texas. J Am Coll Nutr. 2010; 29: 387-396. |
| [14] | Falkner B. Does potassium deficiency contribute to hypertension in children and adolescents? Curr Hypertens Rep. 2017; 19: 37. |
| [15] | Flynn JT, Kaelber DC, Baker-Smith CM, Blowey D, Carroll AE, Daniels SR, et al. Clinical practice guideline for screening and management of high blood pressure in children and adolescents. Pediatrics. 2017; 140: e20171904. |
| [16] | Frisoli TM, Schmieder RE, Grodzicki T, Messerli FH. Salt and hypertension: Is salt dietary reduction worth the effort? Am J Med. 2012; 125: 433-439. |
| [17] | Ibrahim OR, Afolabi JK, Adedoyin OT, Ojuawo AI. Prevalence and risk factors for hypertension among school children in Ilorin, North-Central Nigeria. J Fam Community Med. 2019; 26: 181-186. |
| [18] | Isezuo KO, Jiya NM, Audu LI, Ibitoye PK, Sani UM, Yusuf T, et al. Blood pressure pattern and the relationship with body mass index among apparently healthy secondary school students in Sokoto metropolis, Nigeria. S Afr J Child Health. 2018; 12: 105-110. |
| [19] | Jaddou HY, Batieha AM, Khawaldeh AM, Goussous YM, Ajlouni KM. Blood pressure profiles in school children and adolescents in Jordan. Ann Saudi Med. 2001; 21: 123-126. |
| [20] | Mahyar A, Ebrahemi M, Shahsavari A, Rahmani Y. Blood pressure of primary school children of Eghbalieh City, Islamic Republic of Iran. East Mediterr Health J. 2009; 15: 1449-1454. |
| [21] | McGuire S. Institute of Medicine. Sodium Intake in Populations: Assessment of Evidence. Adv Nutr. 2014; 5: 19-20. |
| [22] |
National Academies of Sciences, Engineering, and Medicine. Dietary Reference Intakes for Sodium and Potassium. Washington (DC): National Academies Press; 2019. Available from:
https://www.nap.edu/catalog/25353/dietary-reference-intakes-for-sodium-and-potassium Accessed 2020 May 10. |
| [23] | Oduwole AA, Ladapo TA, Fajolu IB, Ekure EN, Adeniyi OF. Obesity and elevated blood pressure among adolescents in Lagos, Nigeria: A cross-sectional study. BMC Public Health. 2012; 12: 616. |
| [24] | Okpokowuruk FS, Akpan MU, Ikpeme EE. Prevalence of hypertension and prehypertension among children and adolescents in a semi-urban area of Uyo Metropolis, Nigeria. Pan Afr Med J. 2017; 28: 303. |
| [25] | Omisore AG, Omisore B, Abioye-Kuteyi EA, Bello IS, Olowookere SA. In-school adolescents' weight status and blood pressure profile in South-Western Nigeria: Urban-rural comparison. BMC Obes. 2018; 5. |
| [26] | Oyewole OO, Oritogun KS. Pre-hypertension and hypertension in adolescence: How much does it occur in a Nigerian community? West Afr J Med. 2012; 31: 71-75. Available from: |
| [27] |
Perez MK. When to consider surgery for an obese teen [Internet]. 2010. Available from:
https://www.pediatricsconsultantlive.com/articles/when-consider-surgery-obeseteen Accessed 2020 May 5. |
| [28] | Poirier P, Giles TD, Bray GA, Hong Y, Stern JS, Pi-Sunyer FX, et al. Obesity and cardiovascular disease: Pathophysiology, evaluation, and effect of weight loss. Arterioscler Thromb Vasc Biol. 2006; 26: 968-976. |
| [29] | Popkin BM, Adair LS, Ng SW. Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev. 2012; 70: 3-21. |
| [30] | Redwine KM, Acosta AA, Poffenbarger T, Portman RJ, Samuels J. Development of hypertension in adolescents with pre-hypertension. J Pediatr. 2012; 160: 98-103. |
| [31] | Safdar NF, Bertone-Johnson ER, Cordeiro LS, Jafar TH, Cohen NL. Dietary patterns and their association with hypertension among Pakistani urban adults. Asia Pac J Clin Nutr. 2015; 24: 710-719. |
| [32] | Shokunbi OS. Dietary patterns, mineral and heavy metal concentrations in food and blood samples among selected adults in Ogun State and the Federal Capital Territory, Abuja [PhD thesis]. Ibadan (Nigeria): University of Ibadan; 2017. |
| [33] | Solomon OO, Emmanuel EE, Solomon OA, Amu EO, Amodu O. Association between high body mass index and high blood pressure among adolescents in Ado-Ekiti State, Nigeria. Public Health Res. 2017; 7: 85-90. |
| [34] | Soudarssanane MB, Mathanraj S, Sumanth MM, Sahai A, Karthigeyan M. Tracking of blood pressure among adolescents and young adults in the urban slum of Puducherry. Indian J Community Med. 2008; 33: 107-112. |
| [35] | Srinivas K, Preeti G, Ahmed A. Study of prevalence of obesity and hypertension among adolescent school children and associated risk factors. J Med Sci Clin Res. 2015; 3: 6615-6621. Available from: |
| [36] |
Tageo. Ilishan, Nigeria [Internet]. 2020. Available from:
http://www.tageo.com/index-e-ni-v-00-d-m2799496.htm Accessed 2020 May 10. |
| [37] | Taylor RS, Ashton KE, Moxham T, Hooper L, Ebrahim S. Reduced dietary salt for the prevention of cardiovascular disease: A meta-analysis of randomized controlled trials (Cochrane review). Am J Hypertens. 2011; 24: 843-853. |
| [38] | Uwaezuoke SN, Okoli CV, Ubesie AC, Ikefuna AN. Primary hypertension among a population of Nigerian secondary school adolescents: Prevalence and correlation with anthropometric indices: A cross-sectional study. Niger J Clin Pract. 2016; 19: 649-654. |
| [39] | Whitworth JA; World Health Organization, International Society of Hypertension Writing Group. 2003 World Health Organization (WHO)/International Society of Hypertension (ISH) statement on management of hypertension. J Hypertens. 2003; 21: 1983-1992. |
| [40] | World Health Organisation Expert Committee. An estimate for the prevalence of child malnutrition in developing countries. World Health Stat Q. 2010; 38: 331-347. |
| [41] |
World Health Organization. Adolescent development [Internet]. Geneva: World Health Organization; 2020. Available from:
https://www.who.int/maternal_child_adolescent/topics/adolescence/development/ Accessed 2020 May 10. |
| [42] | Yoon KL. Does hypertension begin in adolescence? Korean J Pediatr. 2013; 56: 523-525. |
APA Style
Suleiman, U., Owolabi, O. A., Olagunju, A., Umar, A. T., Saliu, M. A., et al. (2026). Correlation of Nutritional Status and Blood Pressure of Apparently Healthy Primary School Pupils Aged 6–12 years in Zaria Local Government Area of Kaduna State. World Journal of Public Health, 11(3), 329-338. https://doi.org/10.11648/j.wjph.20261103.22
ACS Style
Suleiman, U.; Owolabi, O. A.; Olagunju, A.; Umar, A. T.; Saliu, M. A., et al. Correlation of Nutritional Status and Blood Pressure of Apparently Healthy Primary School Pupils Aged 6–12 years in Zaria Local Government Area of Kaduna State. World J. Public Health 2026, 11(3), 329-338. doi: 10.11648/j.wjph.20261103.22
AMA Style
Suleiman U, Owolabi OA, Olagunju A, Umar AT, Saliu MA, et al. Correlation of Nutritional Status and Blood Pressure of Apparently Healthy Primary School Pupils Aged 6–12 years in Zaria Local Government Area of Kaduna State. World J Public Health. 2026;11(3):329-338. doi: 10.11648/j.wjph.20261103.22
@article{10.11648/j.wjph.20261103.22,
author = {Ubangida Suleiman and Olumuyiwa Adeyemi Owolabi and Abbas Olagunju and Abubakar Tanimu Umar and Muhammad Auwal Saliu and Hassan Hassan Murtala and Said Sani Said},
title = {Correlation of Nutritional Status and Blood Pressure of Apparently Healthy Primary School Pupils Aged 6–12 years in Zaria Local Government Area of Kaduna State},
journal = {World Journal of Public Health},
volume = {11},
number = {3},
pages = {329-338},
doi = {10.11648/j.wjph.20261103.22},
url = {https://doi.org/10.11648/j.wjph.20261103.22},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wjph.20261103.22},
abstract = {Anthropometric indices have become practical tools for evaluating the nutritional status of populations. Understanding the nutritional status of children has far-reaching implications for promoting the health of future generations. The necessity for routine blood pressure screening in children was debated in the past, the main argument against it being that essential hypertension is an adult disease and there was no evidence that screening apparently healthy children for hypertension is rewarding. Its value as a screening tool for hypertension in adults has long been documented. This study has been designed to assess the relationship between nutritional status and blood pressure among apparently healthy primary school pupils aged 6–12 years in Zaria Local Government Area, Kaduna State. The study was conducted on 219 pupils randomly selected from public and private schools using a table of random numbers. Blood pressure was measured after 5 minutes of rest in the sitting position with an aneroid sphygmomanometer and a cuff suitable to the pupil’s arm circumference according to WHO standard procedures. Nutritional and growth status were determined using z-score for BMI-for-age and height-for-age (HA). Pearson correlation was used to determine the correlation coefficients between anthropometric indices and blood pressure parameters. Study findings revealed a z-score of r=0.77, 0.61, and 0.74 respectively). The study found out that severe malnutrition exists among the pupils, as significant percentages of the school children were thin and stunted. Blood pressure increased with age and was higher among pupils from private schools than among those from public schools.},
year = {2026}
}
TY - JOUR T1 - Correlation of Nutritional Status and Blood Pressure of Apparently Healthy Primary School Pupils Aged 6–12 years in Zaria Local Government Area of Kaduna State AU - Ubangida Suleiman AU - Olumuyiwa Adeyemi Owolabi AU - Abbas Olagunju AU - Abubakar Tanimu Umar AU - Muhammad Auwal Saliu AU - Hassan Hassan Murtala AU - Said Sani Said Y1 - 2026/09/08 PY - 2026 N1 - https://doi.org/10.11648/j.wjph.20261103.22 DO - 10.11648/j.wjph.20261103.22 T2 - World Journal of Public Health JF - World Journal of Public Health JO - World Journal of Public Health SP - 329 EP - 338 PB - Science Publishing Group SN - 2637-6059 UR - https://doi.org/10.11648/j.wjph.20261103.22 AB - Anthropometric indices have become practical tools for evaluating the nutritional status of populations. Understanding the nutritional status of children has far-reaching implications for promoting the health of future generations. The necessity for routine blood pressure screening in children was debated in the past, the main argument against it being that essential hypertension is an adult disease and there was no evidence that screening apparently healthy children for hypertension is rewarding. Its value as a screening tool for hypertension in adults has long been documented. This study has been designed to assess the relationship between nutritional status and blood pressure among apparently healthy primary school pupils aged 6–12 years in Zaria Local Government Area, Kaduna State. The study was conducted on 219 pupils randomly selected from public and private schools using a table of random numbers. Blood pressure was measured after 5 minutes of rest in the sitting position with an aneroid sphygmomanometer and a cuff suitable to the pupil’s arm circumference according to WHO standard procedures. Nutritional and growth status were determined using z-score for BMI-for-age and height-for-age (HA). Pearson correlation was used to determine the correlation coefficients between anthropometric indices and blood pressure parameters. Study findings revealed a z-score of r=0.77, 0.61, and 0.74 respectively). The study found out that severe malnutrition exists among the pupils, as significant percentages of the school children were thin and stunted. Blood pressure increased with age and was higher among pupils from private schools than among those from public schools. VL - 11 IS - 3 ER -