Intra-rater and inter-rater reliability of body Composition analyzer in young adults aged 18-25 years


  • Mehta Arshi Assistant Professor, Shri Bharatimaiya college of Optometry and Physiotherapy, Surat.
  • Limbasiya Jalak Clinical therapist, Surat
  • Pambhar Bansi Clinical therapist, Surat
  • Desai Henu Clinical therapist, Surat
  • Trapasiya Dipali Clinical therapist, Surat



Body-composition, BIA, reliability, adults, Bodecoder, Total-bodyfat


BACKGROUND: Bodecoder (model no.CHL-818E) is a body impedance analyzer for clinically assessing body composition, but psychometric properties of which has not been tested for clinical purpose. The study aims to determine intra-rater and inter-rater reliability of body composition components of equipment in healthy adult population.

METHODOLOGY: The examination of 125 healthy young adults (18-25 years) performed by trained raters using the bodecoder equipment. For intra-rater reliability, same rater performed the examination on three alternative days at the same time. For inter-rater reliability, 2 different raters performed examination on 2 different days at same time.

RESULT: ICC value for inter-rater and intra-rater was excellent for weight (0.986- 0.994), BMI (0.901-0.996), VFI (0.980-0.996), TBW% (0.974-0.988), BMC (0.967- 0.995) and BMR (0.970-0.987), whereas found good for SM% (0.864-0.856) and moderate for ULB (0.563-0.699). Here, TBF% (0.300-0.987) showed poor inter-rater reliability and excellent intra-rater reliability. Whereas, BB (0.465- 0.679) showed poor inter-rater reliability and moderate intra rater reliability. But, LLB showed both poor intra-rater and inter-rater reliability.

CONCLUSION: It is evident that Bodecoder equipment can be used for examining body composition components, but cannot be considered for examining total body fat percentage as well as balance components.


Caspersen CJ, Powell KE, Christenson GM. Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. Public health reports. 1985;100(2):126.

Medicine ACoS. ACSM's guidelines for exercise testing and prescription: Lippincott Williams & Wilkins; 2013.

Ruiz JR, Castro-Piñero J, Artero EG, Ortega FB, Sjöström M, Suni J, et al. Predictive validity of health-related fitness in youth: a systematic review. British journal of sports medicine. 2009;43(12):909-23.

Clarys J, Martin A, Drinkwater D, Marfell?Jones M. The skinfold: myth and reality. Journal of sports sciences. 1987;5(1):3-33.

Thibault R, Genton L, Pichard C. Body composition: why, when and for who? Clinical nutrition. 2012;31(4):435-47.

Andreoli A, Garaci F, Cafarelli FP, Guglielmi G. Body composition in clinical practice. European journal of radiology. 2016;85(8):1461-8.

Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, et al. Sarcopenia: European consensus on definition and diagnosisReport of the European Working Group on Sarcopenia in Older PeopleA. J. Cruz-Gentoft et al. Age and ageing. 2010;39(4):412-23.

Thomas EL, Fitzpatrick J, Malik S, Taylor-Robinson SD, Bell JD. Whole body fat: content and distribution. Progress in nuclear magnetic resonance spectroscopy. 2013;73:56-80.

Norgan N. Laboratory and field measurements of body composition. Public health nutrition. 2005;8(7a):1108-22.

Ellis KJ, Abrams SA, Wong WW. Monitoring childhood obesity: assessment of the weight/height2 index. American journal of epidemiology. 1999;150(9):939-46.

Organization WH. Obesity: preventing and managing the global epidemic. 2000.

Durnin JV, Womersley J. Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 years. British journal of nutrition. 1974;32(1):77-97.

Going S, Nichols J, Loftin M, Stewart D, Lohman T, Tuuri G, et al. Validation of bioelectrical impedance analysis (BIA) for estimation of body composition in Black, White and Hispanic adolescent girls. International journal of body composition research. 2006;4(4):161.

Haapala I, Hirvonen A, Niskanen L, Uusitupa M, Kröger H, Alhava E, et al. Anthropometry, bioelectrical impedance and dual?energy X?ray absorptiometry in the assessment of body composition in elderly Finnish women. Clinical physiology and functional imaging. 2002;22(6):383-91.

Analyser Bc. Bodecoder (model no. CHL-818E).06.

Woodrow G. Body composition analysis techniques in the aged adult: indications and limitations. Current opinion in clinical nutrition and metabolic care. 2009;12(1):8-14.

Bujang MA, Omar ED, Baharum NA. A Review on Sample Size Determination for Cronbach's Alpha Test: A Simple Guide for Researchers. The Malaysian journal of medical sciences : MJMS. 2018;25(6):85-99.

Weststrate JA, Deurenberg P. Body composition in children: proposal for a method for calculating body fat percentage from total body density or skinfold-thickness measurements. The American journal of clinical nutrition. 1989;50(5):1104-15.

Park SH. Tools for assessing fall risk in the elderly: a systematic review and meta-analysis. Aging clinical and experimental research. 2018;30(1):1-16.




How to Cite

Arshi, M., Jalak, L., Bansi, P., Henu, D., & Dipali, T. (2023). Intra-rater and inter-rater reliability of body Composition analyzer in young adults aged 18-25 years. VIMS JOURNAL OF PHYSICAL THERAPY, 5(1), 52–57.



Original Article