Reliability in Regards to Measurements of Selected Circumference and Width Variables of Women Sportspersons-An Approach for Tester’s Competency
DOI:
https://doi.org/10.5281/zenodo.15634803Keywords:
Circumference , Width , Reliability , Tester’s CompetencyAbstract
Purpose: This study aimed to evaluate the reliability and competency of testers in measuring selected circumference and width variables among women sportspersons. Method: A total of 300 women athletes, aged 18–25 years, from NCT of Delhi, were randomly selected. All participants had competed at least at the state level in sports such as athletics, basketball, football, handball, hockey, judo, kabaddi, kho-kho, volleyball, or yoga. Standardized tools, including a Cescorf Anthropometric Tape and a GPM Swiss Made sliding caliper, were used to measure circumference variables (Neck, Chest, Forearm, Abdominal, Waist, Hip, Thigh, Calf) and width variables (Biepicondylar Humerus and Femur) as per ISAK guidelines. Each variable was measured thrice, and the data were analyzed using Pearson’s correlation, Cronbach’s alpha, and ANOVA at P<0.05. Findings: Results demonstrated excellent test-retest reliability and internal consistency for all measurements. The ANOVA results further reinforced the reliability of the selected variables. Conclusion: This study highlights the exceptional reliability of circumference and width measurements using multiple statistical approaches. The findings underscore the utility of these metrics in various domains and affirm the testers' competency in executing precise and consistent measurements.
References
Ross, R., Neeland, I. J., Yamashita, S., Shai, I., Seidell, J., Magni, P., Santos, R. D., Arsenault, B., Cuevas, A., Hu, F. B., Griffin, B. A., Zambon, A., Barter, P., Fruchart, J., Eckel, R. H., Matsuzawa, Y., & Després, J. (2020). Waist circumference as a vital sign in clinical practice: a Consensus Statement from the IAS and ICCR Working Group on Visceral Obesity. Nature Reviews Endocrinology, 16(3), 177–189. [CrossRef] [PubMed]
Assefa, M., Tsegaye, A., Addissie, A., & Worku, A. (2024). Body composition-derived abdominal circumference, waist-to-hip ratio, and waist-to-height ratio cut-offs for Ethiopian adults in Northwest Ethiopia, 2023. Journal of Health Population and Nutrition, 13, 43(1), 185. [CrossRef] [PubMed]
Chumlea, W. C., Wisemandle, W., Guo, S. S., & Siervogel, R. M. (2002). Relations between frame size and body composition and bone mineral status. American Journal of Clinical Nutrition, 75(6), 1012–1016. [CrossRef] [PubMed]
Kobel, S., Kirsten, J., & Kelso, A. (2022). Anthropometry – assessment of body composition. German Journal of Sports Medicine, 73(3), 106–111. [CrossRef]
Jones, W. (2023). Significance of Anthropometry and Its Practical Applications in Different Fields. Longdom. [CrossRef]
Garcia, A. L., Wagner, K., Hothorn, T., Koebnick, C., Zunft, H. F., & Trippo, U. (2005). Improved Prediction of Body Fat by Measuring Skinfold Thickness, Circumferences, and Bone Breadths. Obesity Research, 13(3), 626–634. [CrossRef] [PubMed]
Barrios, P., Martin-Biggers, J., Quick, V., & Byrd-Bredbenner, C. (2016). Reliability and criterion validity of self-measured waist, hip, and neck circumferences. BMC Medical Research Methodology, 16(49), 1-12. [CrossRef] [PubMed]
Schumacher, R. M., Arabas, J. L., Mayhew, J. L., & Brechue, W. F. (2016). Inter-Investigator Reliability of Anthropometric Prediction of 1RM Bench Press in College Football Players. Int J Exerc Sci, 9(3), 427-436. [CrossRef] [PubMed]
Mony, P. K., Swaminathan, S., Gajendran, J. K., & Vaz, M. (2016c). Quality assurance for accuracy of anthropometric measurements in clinical and epidemiological studies [Errare humanum est = to err is human]. Indian Journal of Community Medicine, 41(2), 98–102. [CrossRef] [PubMed]
Montoro-Cremades, D., Tardáguila-García, A., Navarro-Pérez, D., García-Álvarez, Y., López-Moral, M., & Lázaro-Martínez, J. L. (2023). Intra-Observer and Inter-Observer Reliability of Ankle Circumference Measurement in Patients with Diabetic Foot: A Prospective Observational Study. Journal of Clinical Medicine, 12(22), 7166. [CrossRef] [PubMed]
Holmes, C. J., & Racette, S. B. (2021). The Utility of Body Composition Assessment in Nutrition and Clinical Practice: An Overview of Current Methodology. Nutrients, 13(8), 2493. [CrossRef] [PubMed]
Swanson, E. (2014). Validity, Reliability, and the Questionable Role of Psychometrics in Plastic Surgery. Plastic & Reconstructive Surgery Global Open, 2(6), e161. [CrossRef] [PubMed]
Chiang, I. A., Jhangiani, R. S., & Price, P. C. (2015). Research Methods in Psychology - 2nd Canadian Edition. Victoria, B.C.: BCcampus, Pressbooks.
Deurenberg, P., Weststrate, J. A., & Seidell, J. C. (1991). Body mass index as a measure of body fatness: age- and sex-specific prediction formulas. British Journal of Nutrition, 65(2), 105–114. [CrossRef] [PubMed]
Norton, K. I. (2018). Standards for Anthropometry Assessment. In Routledge eBooks (pp. 68–137). [CrossRef]
Rahman, S., Khan, M. A., Anam, M. R., Nahar, Y., & Ara, S. (2022). Anthropometric measures in Bangladeshi schoolchildren to determine body composition and nutritional status: a descriptive cross-sectional study. International Journal of Community Medicine and Public Health, 10(1), 57-62. [CrossRef]
Reidpath, D. D., Cheah, J. C., Lam, F., Yasin, S., Soyiri, I., & Allotey, P. (2013). Validity of self-measured waist and hip circumferences: results from a community study in Malaysia. Nutrition Journal, 12(135), 1-5. [CrossRef] [PubMed]
Khan, M. A., Gul, H., & Nizami, S. M. (2020). Determination of Gender from Various Measurements of the Humerus. Cureus, 12(1):e6598. [CrossRef] [PubMed]
Rae, S., Pullenayegum, E., Ong, F., Dennis, C., Hamilton, J., Maguire, J., & Birken, C. (2024). Reliability of Anthropometric Measurement of Young Children with Parent Involvement. Childhood Obesity. 21(1), 39-49. [CrossRef] [PubMed]
Sicotte, M., Ledoux, M., Zunzunegui, M., Aboubacrine, S. A., & Nguyen, V. (2010). Reliability of anthropometric measures in a longitudinal cohort of patients initiating ART in West Africa. BMC Medical Research Methodology, 10(102),1-9. [CrossRef] [PubMed]
Bland, J. M., & Altman, D. (1986). Statistical Methods For Assessing Agreement Between Two Methods Of Clinical Measurement. The Lancet, 327(8476), 307–310. [CrossRef] [PubMed]
Ulijaszek, S. J., & Kerr, D. A. (1999). Anthropometric measurement error and the assessment of nutritional status. British Journal of Nutrition, 82(3), 165–177. [CrossRef] [PubMed]
Cohen, J. (1960). A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20(1), 37–46. [CrossRef]
Schubert, M. M., Seay, R. F., Spain, K. K., Clarke, H. E., & Taylor, J. K. (2018). Reliability and validity of various laboratory methods of body composition assessment in young adults. Clinical Physiology and Functional Imaging, 39(2), 150–159. [CrossRef] [PubMed]
Pawlak, A., Ręka, G., Olszewska, A., Warchulińska, J., & Piecewicz-Szczęsna, H. (2021). Methods of assessing body composition and anthropometric measurements – a review of the literature. Journal of Education Health and Sport, 11(4), 18–27. [CrossRef]
Berchtold, A. (2016). Test–retest: Agreement or reliability? Methodological Innovations, 9, 1-7. [CrossRef]
Schober, P., Boer, C., & Schwarte, L. A. (2018). Correlation Coefficients: appropriate use and interpretation. Anesthesia & Analgesia, 126(5), 1763–1768. [CrossRef] [PubMed]
Drost, E. A. (2011). Validity and reliability in social science research. Education, Research and Perspectives, 38, 105–123. [CrossRef]
Mohajan, Haradhan (2017). Two Criteria for Good Measurements in Research: Validity and Reliability. Annals of Spiru Haret University, 17(4), 56-82. [CrossRef]
Adamson, K. A., & Prion, S. (2013). Reliability: Measuring Internal Consistency Using Cronbach’s α. Clinical Simulation in Nursing, 9, e179-e180. [CrossRef]
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. [CrossRef] [PubMed]
Liljequist, D., Elfving, B., & Skavberg Roaldsen, K. (2019). Intraclass correlation - A discussion and demonstration of basic features. PloS one, 14(7), e0219854. [CrossRef] [PubMed]
Koo, T. K., & Li, M. Y. (2016). A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. Journal of chiropractic medicine, 15(2), 155–163. [CrossRef] [PubMed]
Davies, B. (1984). J. D. MacDougall, H. A. Wenger and H. J. Green “Physiological Testing of the Elite Athlete”. British Journal of Sports Medicine, 18(2), 83.
Lohman, T. G., Roche, A. F. & Martorell, R. (1988) Anthropometric standardization reference manual. Human Kinetics Books, Chicago.
Voss, L. D., Bailey, B. J., Cumming, K., Wilkin, T. J., & Betts, P. R. (1990). The reliability of height measurement (the Wessex Growth Study). Archives of Disease in Childhood, 65(12), 1340–1344. [CrossRef] [PubMed]
Shrout, P. E., & Fleiss, J. L. (1979). Intraclass Correlations: Uses in Assessing Rater Reliability. In Psychological Bulletin, 86(2), 420-8. [CrossRef] [PubMed]
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 International Journal of Active & Healthy Aging

This work is licensed under a Creative Commons Attribution 4.0 International License.