Assessment of adult body composition using bioelectrical impedance: Comparison of researcher calculated to machine outputted values
BMJ Open, ISSN: 2044-6055, Vol: 6, Issue: 1, Page: e008922
2016
- 22Citations
- 122Captures
- 7Mentions
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations22
- Citation Indexes22
- 22
- CrossRef15
- Captures122
- Readers122
- 122
- Mentions7
- News Mentions7
- 7
Most Recent News
Samsung Galaxy Watch 6 Classic review: Return of rotating bezel
8.4 Buy on Amazon A smartwatch is almost a must these days. Who would dare attempt to exercise or sleep without keeping track of every
Article Description
Objectives: To explore the usefulness of Bioelectrical Impedance Analysis (BIA) for general use by identifying best-evidenced formulae to calculate lean and fat mass, comparing these to historical gold standard data and comparing these results with machine-generated output. In addition, we explored how to best to adjust lean and fat estimates for height and how these overlapped with body mass index (BMI). Design: Cross-sectional observational study within population representative cohort study. Setting: Urban community, North East England Participants: Sample of 506 mothers of children aged 7-8 years, mean age 36.3 years. Methods: Participants were measured at a home visit using a portable height measure and leg-to-leg BIA machine (Tanita TBF-300MA). Measures: Height, weight, bioelectrical impedance (BIA). Outcome measures: Lean and fat mass calculated using best-evidenced published formulae as well as machine-calculated lean and fat mass data. Results: Estimates of lean mass were similar to historical results using gold standard methods. When compared with the machine-generated values, there were wide limits of agreement for fat mass and a large relative bias for lean that varied with size. Lean and fat residuals adjusted for height differed little from indices of lean (or fat)/height2. Of 112 women with BMI >30 kg/m, 100 (91%) also had high fat, but of the 16 with low BMI (<19 kg/m) only 5 (31%) also had low fat. Conclusions: Lean and fat mass calculated from BIA using published formulae produces plausible values and demonstrate good concordance between high BMI and high fat, but these differ substantially from the machine-generated values. Bioelectrical impedance can supply a robust and useful field measure of body composition, so long as the machine-generated output is not used.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84960154682&origin=inward; http://dx.doi.org/10.1136/bmjopen-2015-008922; http://www.ncbi.nlm.nih.gov/pubmed/26743700; https://bmjopen.bmj.com/lookup/doi/10.1136/bmjopen-2015-008922; https://dx.doi.org/10.1136/bmjopen-2015-008922; https://bmjopen.bmj.com/content/6/1/e008922; http://bmjopen.bmj.com/content/6/1/e008922; https://bmjopen.bmj.com/content/6/1/e008922.abstract; https://bmjopen.bmj.com/content/6/1/e008922.full.pdf; http://bmjopen.bmj.com/lookup/doi/10.1136/bmjopen-2015-008922; https://bmjopen.bmj.com/cgi/doi/10.1136/bmjopen-2015-008922; https://bmjopen.bmj.com/content/bmjopen/6/1/e008922.full.pdf
BMJ
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know