A comparative analysis of the accuracy of body fat measurements using spectrophotometry, bioelectrical impedance and anthropometric technique vs. air displacement plethysmography in a group of powerlifters
{"title":"A comparative analysis of the accuracy of body fat measurements using spectrophotometry, bioelectrical impedance and anthropometric technique vs. air displacement plethysmography in a group of powerlifters","authors":"M. Człapka-Matyasik, M. Grdeń","doi":"10.17306/J.NPT.00182","DOIUrl":null,"url":null,"abstract":"Background. The analysis of athletes’ body composition is particularly important for planning nutrition and training loads. Reproducibility and precision of measurements are particularly important in strength sports, when there are fluctuations in the body mass and composition around training. Precise monitoring of these changes with an adequate method enables prediction of the effects of inadequate diet or workload. The aim of the study was to assess body fat (%Fat) measurements with spectrophotometry (NIR), bioelectrical impedance (BIA) and the anthropometric technique (SF) and to compare them with air plethysmography (BP) as a reference method in a group of powerlifters. Material and methods. The study was conducted simultaneously on a group of 49 men aged 19– 26 years, practising classic powerlifting. The body fat content was measured with the Bod Pod (BP method), FUTREX 6100A/ZL (NIR method), Tanita MC 780 MA (BIA method), whereas skin thickness was measured with a Harpenden skinfold calliper (SF technique). Results. The total measurement accuracy coefficient for %Fat was 100% with BIA, 94% with SF and 74% with NIR, as compared with the reference method. In the group with the body fat content ≤ 20% (L-Fat-P) and > 20% (H-Fat-P) the accuracy coefficients were respectively 117 vs. 86% (BIA), 105 vs. 82% (SF) and 84 vs. 63% (NIR). The total correlation coefficients between the methods under analysis and the reference method were significant: 0.70 (SF), 0.61 (BIA), 0.43 (NIR). In the L-Fat-P group there was a significant correlation between the BP and SF methods (0.52), and in the H-Fat-P group – between the BP and BIA methods (0.53). There were relative differences in the total group, L-Fat-P and H-Fat-P between the BP and NIR methods: –20.7% and –9.2% vs. –37.1%, the BIA method: 8.9% and 23.6% vs. –14.2%, and the SF technique: –0.6% and 9.8% vs. –17.1%, respectively. Conclusions. The results indicated the need to select carefully the techniques analysing athletes’ body composition. Fat percentage measurement with the anthropometric technique was the most accurate; it was moderately overestimated when the bioelectrical impedance method was applied, whereas the spectrophotometric method resulted in significant underestimation. The accuracy of the measurements depended on the body fat content. In the future it is necessary to conduct research on endurance athletes as well as people who do not practise sports.","PeriodicalId":366305,"journal":{"name":"Nauka Przyroda Technologie","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nauka Przyroda Technologie","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17306/J.NPT.00182","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background. The analysis of athletes’ body composition is particularly important for planning nutrition and training loads. Reproducibility and precision of measurements are particularly important in strength sports, when there are fluctuations in the body mass and composition around training. Precise monitoring of these changes with an adequate method enables prediction of the effects of inadequate diet or workload. The aim of the study was to assess body fat (%Fat) measurements with spectrophotometry (NIR), bioelectrical impedance (BIA) and the anthropometric technique (SF) and to compare them with air plethysmography (BP) as a reference method in a group of powerlifters. Material and methods. The study was conducted simultaneously on a group of 49 men aged 19– 26 years, practising classic powerlifting. The body fat content was measured with the Bod Pod (BP method), FUTREX 6100A/ZL (NIR method), Tanita MC 780 MA (BIA method), whereas skin thickness was measured with a Harpenden skinfold calliper (SF technique). Results. The total measurement accuracy coefficient for %Fat was 100% with BIA, 94% with SF and 74% with NIR, as compared with the reference method. In the group with the body fat content ≤ 20% (L-Fat-P) and > 20% (H-Fat-P) the accuracy coefficients were respectively 117 vs. 86% (BIA), 105 vs. 82% (SF) and 84 vs. 63% (NIR). The total correlation coefficients between the methods under analysis and the reference method were significant: 0.70 (SF), 0.61 (BIA), 0.43 (NIR). In the L-Fat-P group there was a significant correlation between the BP and SF methods (0.52), and in the H-Fat-P group – between the BP and BIA methods (0.53). There were relative differences in the total group, L-Fat-P and H-Fat-P between the BP and NIR methods: –20.7% and –9.2% vs. –37.1%, the BIA method: 8.9% and 23.6% vs. –14.2%, and the SF technique: –0.6% and 9.8% vs. –17.1%, respectively. Conclusions. The results indicated the need to select carefully the techniques analysing athletes’ body composition. Fat percentage measurement with the anthropometric technique was the most accurate; it was moderately overestimated when the bioelectrical impedance method was applied, whereas the spectrophotometric method resulted in significant underestimation. The accuracy of the measurements depended on the body fat content. In the future it is necessary to conduct research on endurance athletes as well as people who do not practise sports.
背景。对运动员身体成分的分析对于规划营养和训练负荷尤为重要。在力量运动中,当训练前后身体质量和组成有波动时,测量的可重复性和准确性尤为重要。用适当的方法对这些变化进行精确监测,可以预测饮食或工作负荷不足的影响。本研究的目的是评估用分光光度法(NIR)、生物电阻抗法(BIA)和人体测量技术(SF)测量的体脂(% fat),并将其与作为参考方法的空气体积脉搏图(BP)进行比较。材料和方法。这项研究同时对49名年龄在19 - 26岁之间的男性进行,他们都在练习经典的力量举。体脂含量采用Bod Pod (BP法)、FUTREX 6100A/ZL(近红外法)、Tanita MC 780 MA (BIA法)测定,皮肤厚度采用Harpenden皮褶卡尺(SF技术)测定。结果。与参考方法相比,BIA法测定%Fat的总准确度系数为100%,SF法为94%,NIR法为74%。体脂含量≤20% (L-Fat-P)和> 20% (H-Fat-P)组的准确度系数分别为117比86% (BIA)、105比82% (SF)和84比63% (NIR)。分析方法与参考方法的总相关系数分别为0.70 (SF)、0.61 (BIA)、0.43 (NIR)。在L-Fat-P组中,BP与SF法之间存在显著相关性(0.52),H-Fat-P组中BP与BIA法之间存在显著相关性(0.53)。BP法和NIR法的总组、L-Fat-P和H-Fat-P的相对差异分别为-20.7%和-9.2% vs. -37.1%, BIA法分别为8.9%和23.6% vs. -14.2%, SF法分别为-0.6%和9.8% vs. -17.1%。结论。结果表明,分析运动员身体成分的技术需要谨慎选择。人体测量法测定脂肪百分比最准确;应用生物电阻抗法可适度高估,而分光光度法可显著低估。测量的准确性取决于身体脂肪含量。未来有必要对耐力运动员以及不从事体育运动的人进行研究。