Abstract
Research about Skinfold Caliper (SKF) and Bioelectrical Impedance Analysis (BIA) has been frequently studied in athletes. Accurate of SKF is dependent on the technique, skill, and experience of the tester, whereas BIA is less time consuming and easily administered by investigators. The study aimed was to analyze the mean difference of body fat composition (BF%) between SKF and BIA methods among bodybuilders, heavy lifter, and weight lifter athletes. This was an observational analytic research with a cross-sectional design. The data were obtained from direct measurements to 30 athletes (21 men and 9 women). The percentage of body fat data were obtained by SKF and BIA and also anthropometric data (weight and height). The mean of BF percentages was analyzed by multiple paired t-test. The study showed a significant difference in BF% between SKF and BIA methods according to gender, sport, and Body Mass Index (BMI) categories (p<0,05). The mean BF % by skinfold caliper was 18,91 and by BIA was 24,27. Body fat percentage by SKF methods in bodybuilder, heavy lifter, weight lifter, man, woman, normal, overweight, moderates and severe obese were 12,05; 21,77; 17,67;17,31; 22,67;11,75; 17,83; 23,05; and 34,99. In other, by BIA were 15,34; 28,58; 21,59; 21,99; 29,60; 16,47; 23,69; 29,32; 36,00. It concluded that the mean difference in Body Fat (BF) % between SKF and BIA methods according to gender, kind of sport, and BMI categories was significant (p<0,05), except in severely obese.
References
1
Aandstad, A., Holtberget, K., Hageberg, R., Holme, I., & Anderssen, S. A. (2014). Validity and Reliability of Bioelectrical Impedance Analysis and Skinfold Thickness in Predicting Body Fat in Military Personnel. 179(February).
https://doi.org/10.7205/MILMED-D-12-00545
2
Ambardini, RL. 2013. Peningkatan Perilaku Pola Makan Sehat Atlet Angkat Besi di Padepokan Lampung. Jurnal Iptek Olahraga Kemenpora RI. vol 15 no 2,
3
Anonim. 2005. Lafayette instrument.Lafayette skinfold caliper II user’s manual. Europe :
4
Lafayette instrument company
5
Bilsborough JC, Greenway K, Opar D, Livingstone S, Cordy J, Coutts AJ. (2014). The accuracy and precisionof DXA for assessing body composition in team sport athletes. Journal Sport Science; 32(19):1821±8. Epub 2014/06/11.
https://doi.org/10.1080/02640414.2014.926380 PMID: 24914773.
6
Brierley, M. E., Brooks, K. R., Mond, J., Stevenson, R. J., & Stephen, I. D. (2016). The body and the beautiful: Health, attractiveness and body composition in men’s and women’s bodies. PLoS ONE, 11(6), 1–17.
https://doi.org/10.1371/journal.pone.0156722
7
Duren DL, Sherwood RJ,Czerwinski SA, Lee M, ChohAC, Siervogel RM.(2008),
8
Body composition methods:comparisons andinterpretation. J Diabetes SciTechnol ;2(6);1139-1146.
10
Ho-Pham, L. T., Lai, T. Q., Nguyen, M. T. T., & Nguyen, T. V. (2015). Relationship between body mass index and percent body fat in Vietnamese: Implications for the diagnosis of obesity. PLoS ONE, 10(5), 1–14.
https://doi.org/10.1371/journal.pone.0127198
11
Kelly, Mp., Skinner, S., Clark, RJ., DeFransesco, C., & Campitelli, F. (2006). Sports Nutrition Manual. National Federation of Professional Trainer
12
Kemenkes RI (2014). Pedoman Gizi Olahraga Prestasi : Jakarta : Kementerian Kesehatan
13
Kemenkes RI (2009). Sistem Kesehatan Nasional. Jakarta
14
Koşar, Ş. N. (2016). Associations of lean and fat mass measures with whole body bone mineral content and bone mineral density in female adolescent weightlifters and swimmers. Turkish Journal of Pediatrics, 58(1), 79–85.
https://doi.org/10.24953/turkjped.2016.01.011
15
Larson, L. M., Guo, J., Williams, A. M., Young, M. F., Ismaily, S., Addo, O. Y., … Northrop-Clewes, C. A. (2018). Approaches to assess vitamin a status in settings of inflammation: Biomarkers reflecting inflammation and nutritional determinants of anemia (BRINDA) project. Nutrients, 10(8).
https://doi.org/10.3390/nu10081100
16
Latni, J., Ernalia, Y., & Azrin, M. (2015). Gambaran Status Gizi Atlet Angkat Berat, Angkat Besi Dan Binaraga Komite Olahraga Nasional Indonesia (Koni) Provinsi Riau Tahun 2015. Jom, 33(11).
17
Lubis, L., Ngo, N., Yiin, Z., & Luftimas, D. E. (2018). Differentiation of body fat composition between skinfold caliper and bioelectrical impedance analysis methods among professors. 1(1), 12–16.
https://doi.org/10.36675/baj.v1i1.6
18
Mahan,L.K.,S.Escott-Stumps. 2017. Krause’s Food, Nutrition, and Diet Therapy. 11 ed. Elsivier USACSaunders:275-6,296-8.
19
McRae M. (2010). Male and female differences in variability with estimating body fat composition using skinfold calipers. J Chhiropr Med; 9(4): 157-161.
20
Norton, K & Old, T.(1998). Anthropometrica : Atextbook of bodymeasurement for sport andhealth courses. Sydney : University of New South Wales Press. 47-53
21
Penggalih, mirza hapsari sakti titis, & Niamila, I. (2015). Perbedaan perubahan lemak tubuh dan berat badan atlet balap sepeda pada berbagai intensitas latihan. Journal Article, XVI(2).
22
Setiowati, A. (2015). Hubungan Indeks Massa Tubuh, Persen Lemak Tubuh, Asupan Zat Gizi dengan Kekuatan Otot. Media Ilmu Keolahragaan Indonesia, 4(1).
23
Supariasa N D, Bakri B, FajriI.(2012).Penilain status gizi.Jakarta: Penerbit bukukedokteran EGC.
24
Takai, Y., Nakatani, M., Aoki, T., Komori, D., Oyamada, K., Murata, K., … Kanehisa, H. (2018). Body shape indices are predictors for estimating fat-free mass in male athletes. PLoS ONE, 13(1), 1–13.
https://doi.org/10.1371/journal.pone.0189836