BIA body fat distribution analysis -
Results from our study also have depicted a linear correlation between both methods studied. However, it is important to note that the results depend on number and sites of skinfolds as well as variations in the distribution of subcutaneous fat 14, In most settings, SFT, BIA and other 2 compartment models are the only techniques available for body composition measurements.
The Bland-Altman analysis was done to test the proportional bias and limits of agreement. Limits of agreement estimates likely differences between individual results measured by two methods. Our observations have showed that BIA overestimates the body fat percentage compared with body fat percentage derived by SFT method.
Similar findings have been reported by studies done in United States of America, Colombia and Indonesia 16,17, Study done in Indonesian girls have reported that SFT method is one of the practical approaches to assess body composition They further also have discussed that change in body water and electrolyte influences BIA measurements and this may lead to errors in body fay percentage evaluation.
According to study done on Indian population by Bhat et al a commercial BIA machine overestimated body fat percentage compared with multiple skinfolds and Durnin-Wormesley equation method 5. They have also suggested that SFT measurements by Durnin and Wormesley equation may be more appropriate for Indian population.
Findings from our study have shown contradictory results with the studies done on Indian population by Chahar et al and Devi et al 4, Both researchers have independently suggested that BIA underestimates body fat percentage when compared with SFT method.
Kuriyan R et al have stated that SFT and BIA both underestimate the body fat percentage when compared to the 4-compartment model to validate Both methods cannot be alternative to each other. Each method has its own limitations and applicability, but both are uncomplicated, practical, inexpensive and easy to administer particularly in epidemiological studies.
The paper was presented at 53 rd IDACON — Virtual International Conference of Indian Dietetic Association. HT was supported by a Junior Research Fellowship from the University Grants Commission, Government of India. Web of Science Coverage Emerging Sources Citation Index ESCI Journal Impact Factor: 0.
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Sayyad 3 1 Symbiosis School of Biological Sciences, Symbiosis International Deemed University , Pune, India. Article Metrics PDF Downloads: Introduction Body composition measurements are quantitative methods of nutritional assessment in humans.
Materials and Methods This report is a part of the PMS study which investigated association of premenstrual syndrome with various lifestyle factors among young women. Statistical Analysis Statistical analysis was carried out in SPSS software v. Results In total female students participated in the study.
Table 1: Anthropometric Measurements and Body Composition Parameters. Measurement Mean SD Range Anthropometric measurements Height cm Click here to view Figure Discussion Currently adiposity is used as a marker to define the obesity rather than relation of body weight to body height which is BMI.
Acknowledgment The paper was presented at 53 rd IDACON — Virtual International Conference of Indian Dietetic Association. Funding Source HT was supported by a Junior Research Fellowship from the University Grants Commission, Government of India.
Conflict of Interest The authors declare no conflict of interest. References Kuriyan R. Body composition techniques. Indian Journal of Medical Research. CrossRef Thibault R, Genton L, Pichard C. Body composition: why, when and for who?. Clinical Nutrition. CrossRef Andreoli A, Garaci F, Cafarelli FP, Guglielmi G.
Body composition in clinical practice. European Journal of Radiology. CrossRef Chahar PS. Comparison of Skinfold Thickness Measurement and Bioelectrical Impedance Method for Assessment of Body Fat. World Applied Sci J. Bhat D. Body fat measurement in Indian men: comparison of three methods based on a two-compartment model.
International Journal of Obesity. DOI: CrossRef World Health Organization. Waist circumference and waist-hip ratio: report of a WHO expert consultation, Geneva.
Accessed on 24 January Durnin J. Body fat assessed from total body density and its estimation from skinfold thickness: measurements on men and women aged from 16 to 72 years.
British Journal of Nutrition. CrossRef Borga M. Advanced body composition assessment: from body mass index to body composition profiling. Journal of Investigative Medicine. CrossRef Brand R. Editorial: Standards of Reporting: The CONSORT, QUORUM, and STROBE Guidelines.
Clin Orthop Relat Res. CrossRef Bland J. Statistical methods for assessing agreement between two methods of clinical measurement.
CrossRef WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies [published correction appears in Lancet. CrossRef Lavie CJ, Milani RV, Ventura HO, De Schutter A, Romero-Corral A.
Use of body fatness cutoff points—reply—I. InMayo Clinic Proceedings 1;85 11 : CrossRef Alvero-Cruz J. Body fat assessment by bioelectrical impedance and its correlation with anthropometric indicators. Nutricion Hospitalaria.
Gibson RS. Anthropometric assessment of body composition. In: Principles of nutritional assessment. Edition 2, Oxford University Press, New York, Kamimura M.
Nephrology Dialysis Transplantation. A comparison of field methods to assess body composition in a diverse group of sedentary women. Biological Research for Nursing. CrossRef Isjwara RI, Widjaja Lukito MD. Comparison of body compositional indices assessed by underwater weighing, bioelectrical impedance and anthropometry in Indonesian adolescent girls.
Asia Pacific journal of clinical nutrition. PMID: González-Ruíz K, Medrano M, Correa-Bautista JE, García-Hermoso A, Prieto-Benavides DH, Tordecilla-Sanders A, Agostinis-Sobrinho C, Correa-Rodríguez M, Schmidt Rio-Valle J, González-Jiménez E, Ramírez-Vélez R.
Comparison of bioelectrical impedance analysis, slaughter skinfold-thickness equations, and dual-energy X-ray absorptiometry for estimating body fat percentage in Colombian children and adolescents with excess of adiposity. CrossRef Devi B. A Comparative Evaluation of the Body Fat Percentage using Bioelectrical Impedance Analyser, Skin-fold Thickness Measurement and BMI.
CrossRef Kuriyan R. This work is licensed under a Creative Commons Attribution 4. Follow us on:. Most Popular Articles Low Alkaline Phosphatase ALP In Adult Population an… , Colostrum — its Composition, Benefits as a… , Importance of Exclusive Breastfeeding and Complementary… , Processing and Nutritional Composition of Rice Bran 49, Processing and Nutritive Value of Mango Seed Kernel Flour 47, Links About Archives Article Processing Charges Coming Issue Contact Current Issue Order Print Issue Reviewers Reviewers Social Media Submission.
Contact Us. The amount of body fat is finally deducted from the total weight. Note: Bioelectrical impedance is also a method used in cardiology to assess pulse wave velocity, another biomarker that determines the stiffness of the arteries to infer cardiovascular health. Learn more about pulse wave velocity.
The signal used in bioelectrical impedance analysis is totally safe and painless for both adults and children, but note that bioelectrical impedance is not recommended for people with pacemakers.
On one hand, many scientific publications attest to the reliability, precision and accuracy of the BIA method in providing valid estimates of total body water in individuals.
On the other hand, there is still a need for standardization and consensus on certain factors that may alter the test results. Because muscles are largely composed of water, dehydration decreases the amount of fluids and electrolytes that might lower the conduction of these tissues.
As a result, fat-free mass is more likely to be underestimated. Hydration levels vary widely throughout the day, which explains why consistency is an important factor in accurate BIA estimation.
However, fat-free mass is still often underestimated in children. Because the equations that interpret the fat-free mass based on total body water results rely on reference population segments, the body composition estimate might be inaccurate for people considered to be overfat.
People wearing metal implants may experience an underestimated body fat reading. However, this reading will remain constant over time, so they can successfully track their changes in body composition.
Many devices have been designed to measure bioelectrical impedance with increased accuracy and convenience over the years. Using the same measurement method, they mainly differ in terms of the number of electrodes and which section of the body is being measured vs.
which one is being estimated. Beyond the design of these devices, what matters is also the nature and complexity of the algorithm performed to estimate total body water and fat-free mass based on the received frequencies.
To build these algorithms, scientists use body fat standards that can vary. Using smart scales to measure your body composition can help you reliably and cost-effectively track changes if the measurement remains at a consistent level. These scales have the ability to send the electrical current up one leg and down the other leg.
Before using, users must set their age, height, and sex. Also called hand-to-hand impedance devices, they measure arm and upper trunk bioimpedance. These common BIA devices are composed of four electrodes, each of which are placed on half of the body left or right , sending a current from the arm through the body and down the leg.
The Direct Segmental Multi-Frequency BIA or DSM-BIA is the most advanced, and also the most expensive, device providing bioelectrical impedance analysis. This device divides the body into 5 segments and independently measures the impedance for each segment.
Bioelectrical impedance analysis BIA remains a quick and safe method for estimating body composition in adults. This is why this cost-effective alternative is widely used in clinics and in sports medicine and other health-related fields.
Many research efforts are yet to agree on a standard that can help correct the remaining questions of interpretation bias when using the BIA method. However, consistency in measurements accurately helps to detect variations, which makes it easy for anyone to track changes in body composition.
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Your preferences can be edited at any time. Find more information in our cookie policy. Essential cookies. Analytical cookies. Social media cookies. Marketing cookies. View details Accept selected. About bioelectrical impedance analysis and body composition measurement Bioelectrical impedance analysis or BIA is a simple and non-invasive test measuring how low-voltage electric currents circulate through the body with the help of electrodes.
BIA: a way to assess your body composition Because BIA helps to distinguish how body fat , muscles, and body water are distributed in your body tissues, it is widely used to determine your body composition.
Therefore, BIA can be a critical assessment of your health.
Background: Individuals distribuion BIA body fat distribution analysis Body composition analysis fat BIA body fat distribution analysis a higher risk of distribbution. Numerous anthropometric-based predictive equations are available for body composition assessments; furthermore, bioelectrical impedance analysis BIA estimates are available. However, in older adults, the validity of body fat estimates requires further investigation. A total of older women participated in the study. Anthropometric information, BIA, and DXA body composition estimates were obtained. Paired t -test comparisons and standard error of estimates SEE were obtained. Bovy you for visiting nature. You BIA body fat distribution analysis using a BIA body fat distribution analysis version with limited support distibution CSS. To obtain fay best experience, we recommend you use a more dkstribution to date browser or turn off compatibility mode in Internet Explorer. In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. Aging and type 2 diabetes T2DM are associated with an increased risk of sarcopenia. Diagnosis of sarcopenia is commonly done using dual-energy X-ray absorptiometry DXA in specialized settings. Another available method for assessing body composition is direct segmental multi-frequency bioelectrical impedance analysis DSMF-BIA.
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