A cross-sectional study on the relationship between arm span and height among adolescents: An anthropometric approach.

Authors

  • Dr. Palla Radha Krishna Associate Professor, Department of Anatomy, Government Medical College and General Hospital, Jogulamba Gadwal, Telangana, India

DOI:

https://doi.org/10.51168/sjhrafrica.v6i12.2247

Keywords:

Arm span, Height estimation, Adolescents, Anthropometry, Regression equation, Stature prediction

Abstract

Background

Height measurement is essential in adolescent health assessment, yet it becomes challenging when individuals present with postural abnormalities, trauma, disability, or acute illness. This study evaluated the relationship between arm span and height using a standardized anthropometric approach.

 Objective

To determine the association between arm span and height among adolescents and to develop regression equations for height estimation.

 Methods

A cross-sectional study involving 100 adolescents aged 13–18 years was conducted. Height and arm span were measured following standard anthropometric protocols. Sex-wise comparisons were analyzed using independent t-tests. Pearson’s correlation assessed the strength of association between the two parameters. Linear regression equations were constructed for the total sample and stratified by sex to estimate height from arm span.

 Results

The mean age was 15.6 ± 1.7 years, and males constituted 52% of the sample. Overall mean height was 159.8 ± 8.2 cm, while mean arm span measured 161.4 ± 8.7 cm. Both parameters were significantly higher in males (p < 0.001). Most participants demonstrated arm span values exceeding their height. A strong correlation existed between arm span and height in the total group (r = 0.89, p < 0.001), with similarly high correlations in males (r = 0.91) and females (r = 0.87). The primary regression model for the sample was: Height = 24.3 + 0.84 × Arm Span (R² = 0.79). Sex-specific models showed R² values of 0.82 and 0.76 for males and females, respectively.

 Conclusion

Arm span is a reliable predictor of height among adolescents and demonstrates strong validity across sexes. The developed regression equations can assist in clinical, field, and resource-limited settings where height cannot be directly measured.

 Recommendations

Routine inclusion of arm span measurement is encouraged in adolescent anthropometric assessments. Larger multicentric studies are recommended to enhance the external validity of the predictive equations.

Author Biography

Dr. Palla Radha Krishna, Associate Professor, Department of Anatomy, Government Medical College and General Hospital, Jogulamba Gadwal, Telangana, India

is an Associate Professor in the Department of Anatomy at Government Medical College and General Hospital, Jogulamba Gadwal, Telangana. He has extensive teaching and research experience in anatomical sciences and medical education. Before joining GMC Jogulamba Gadwal, he served as an Assistant Professor at Government Medical College, Suryapet, where he contributed to undergraduate training and departmental academic activities. His professional interests include anthropometry, anatomical variations, and applied clinical anatomy. He actively participates in institutional research initiatives and curriculum development. Dr. Radha Krishna maintains an ongoing commitment to academic growth and collaborative research. ORCID: https://orcid.org/0009-0007-5176-546

References

Monyeki KD, Sekhotha MM. The relationships between height and arm span, mid-upper arm and waist circumferences, and the sum of four skinfolds in Ellisras rural children aged 8-18 years. Public Health Nutr. 2016 May;19(7):1195-9. doi: 10.1017/S136898001500258X. Epub 2015 Sep 23. PMID: 26395228; PMCID: PMC10271201. https://doi.org/10.1017/S136898001500258X

Brown JK, Feng JY, Knapp TR. Is self-reported height or arm span a more accurate alternative measure of height? Clin Nurs Res. 2002 Nov;11(4):417-32. doi: 10.1177/105477302237454. PMID: 12413114. https://doi.org/10.1177/105477302237454

Mulu A, Sisay B. Estimation of Stature from Arm Span, Arm Length, and Tibial Length among Adolescents Aged 15-18 in Addis Ababa, Ethiopia. Ethiop J Health Sci. 2021 Sep;31(5):1053-1060. doi: 10.4314/ejhs.v31i5.18. PMID: 35221623; PMCID: PMC8843142. https://doi.org/10.4314/ejhs.v31i5.18

Datta Banik S. Arm span as a proxy measure for height and estimation of nutritional status: a study among Dhimals of Darjeeling in West Bengal, India. Ann Hum Biol. 2011 Nov;38(6):728-35. doi: 10.3109/03014460.2011.616227. Epub 2011 Sep 29. PMID: 21958430. https://doi.org/10.3109/03014460.2011.616227

Gerver WJM, Gkourogianni A, Dauber A, Nilsson O, Wit JM. Arm Span and Its Relation to Height in a 2- to 17-Year-Old Reference Population and Heterozygous Carriers of ACAN Variants. Horm Res Paediatr. 2020;93(3):164-172. doi: 10.1159/000508500. Epub 2020 Jun 23. PMID: 32575104. https://doi.org/10.1159/000508500

Rahmayani R, Rumapea F, Tarigan R, Fadlyana E, Dhamayanti M, Rusmil K. Correlation between anthropometric measurements of height and arm span in Indonesian children aged 7-12 years: a cross-sectional study. Turk J Pediatr. 2023;65(1):13-23. doi: 10.24953/turkjped 2021.5103. PMID: 36866981. https://doi.org/10.24953/turkjped.2021.5103

Kahraman BO, Yuksel E, Nalbant A, Kocak UZ, Unver B. Arm span as a predictor of the six-minute walk test in healthy children. Braz J Phys Ther. 2021 May-Jun;25(3):281-285. doi: 10.1016/j.bjpt.2020.07.003. Epub 2020 Jul 30. PMID: 32773287; PMCID: PMC8134777. https://doi.org/10.1016/j.bjpt.2020.07.003

Wei-Jun W, Xu S, Zhi-Wei W, Xu-Sheng Q, Zhen L, Yong Q. Abnormal anthropometric measurements and growth pattern in male adolescent idiopathic scoliosis. Eur Spine J. 2012 Jan;21(1):77-83. doi: 10.1007/s00586-011-1960-x. Epub 2011 Aug 9. PMID: 21826498; PMCID: PMC3252435. https://doi.org/10.1007/s00586-011-1960-x

Sarma A, Barman B, Das GC, Saikia H, Momin AD. Correlation between the arm span and the standing height among males and females of the Khasi tribal population of Meghalaya state of North-Eastern India. J Family Med Prim Care. 2020 Dec 31;9(12):6125-6129. doi: 10.4103/jfmpc.jfmpc_1350_20. PMID: 33681051; PMCID: PMC7928122. https://doi.org/10.4103/jfmpc.jfmpc_1350_20

Muñoz Esparza NC, Vasquez-Garibay EM, Larrosa Haro A, Romero Velarde E. Relationship of anthropometric indexes and indicators of body composition by arm anthropometry on hospitalized pediatric patients. Nutr Hosp. 2019 Jul 1;36(3):611-617. English. doi: 10.20960/nh.2309. PMID: 30958688. https://doi.org/10.20960/nh.2309

Casadei K, Kiel J. Anthropometric Measurement. [Updated 2022 Sep 26]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK537315/

Goyal P, Singh Z, Sethi GK. Association of Age at Menarche with Anthropometric Measures in Punjabi Bania Girls. J Clin Diagn Res. 2016 Nov;10(11): IC01-IC05. doi: 10.7860/JCDR/2016/22205.8796. Epub 2016 Nov 1. PMID: 28050402; PMCID: PMC5198355.

Moura T, Costa M, Oliveira S, Júnior MB, Ritti-Dias R, Santos M. Height and body composition determine arm propulsive force in youth swimmers independent of a maturation stage. J Hum Kinet. 2014 Oct 10;42:277-84. doi: 10.2478/hukin-2014-0081. PMID: 25414760; PMCID: PMC4234767. https://doi.org/10.2478/hukin-2014-0081

Siu King Cheung C, Tak Keung Lee W, Kit Tse Y, Ping Tang S, Man Lee K, Guo X, Qin L, Chun Yiu Cheng J. Abnormal peri-pubertal anthropometric measurements and growth pattern in adolescent idiopathic scoliosis: a study of 598 patients. Spine (Phila, Pa 1976). 2003 Sep 15;28(18):2152-7. doi: 10.1097/01.BRS.0000084265.15201.D5. PMID: 14501928. https://doi.org/10.1097/01.BRS.0000084265.15201.D5

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Published

2025-12-10

How to Cite

Krishna, D. P. R. . (2025). A cross-sectional study on the relationship between arm span and height among adolescents: An anthropometric approach. Student’s Journal of Health Research Africa, 6(12), 7. https://doi.org/10.51168/sjhrafrica.v6i12.2247

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Section

Section of Anatomy & Physiology