You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
Concurrent validity of the non-exercise based VO2max prediction equation using percentage body fat as a variable in asian Indian adults
|
|---|---|
| Published in |
BMC Sports Science, Medicine and Rehabilitation, September 2012
|
| DOI | 10.1186/1758-2555-4-34 |
| Pubmed ID | |
| Authors |
Shweta Shenoy, Bhupinder S Tyagi, Jaspal S Sandhu |
| Abstract |
Aerobic capacity (VO2max) is highly dependent upon body composition of an individual and body composition varies with ethnicity. The purpose of this study was to check the concurrent validity of the non-exercise prediction equation developed by Jackson and colleagues (1990) using percentage body fat as a variable in Asian Indian adults. One hundred twenty college-aged participants (60 male, 60 female, mean age 22.02 ± 2.29 yrs) successfully completed a maximal graded exercise test (GXT) on a motorized treadmill to assess VO2max. VO2max was then estimated by the non-exercise prediction equation developed by Jackson and colleagues (1990) using percentage body fat. Percentage body fat was calculated by three different models (Sandhu et al's fat mass equation, Durnin-womersley's 4 site percentage body fat and Jackson & Pollock's 4 site percentage body fat) and was used in the above equation. The results of VO2max obtained using "gold standard" treadmill methods were then compared with the three results of VO2max obtained by Jackson et al's equation (using three different models to calculate percentage body fat) and it was determined which equation is best suited to determine percentage body fat and in turn VO2 max for Indian population. Jackson et al's prediction equation overpredicts VO2max in Asian Indian subjects who have a lower VO2max (33.41 ± 14.39 ml/kg/min) than those reported in other age matched populations. percentage body fats calculated by the three equations were significantly different and the correlation coefficient (r) between VO2max calculated by Jackson and colleagues (1990) using Sandhu et al's equation for percentage body fat with VO2 max calculated using treadmill (gold standard) (r = .817) was found slightly more significantly correlated than the other two equations and was not statistically different from the measured value. This study proves that VO2max equation using Sandhu et al's model for percentage body fat yields more accurate results than other studied equations in healthy college-aged participants in India. |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 60 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 14 | 23% |
| Lecturer | 6 | 10% |
| Student > Master | 5 | 8% |
| Student > Ph. D. Student | 5 | 8% |
| Researcher | 3 | 5% |
| Other | 10 | 16% |
| Unknown | 18 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 20 | 33% |
| Medicine and Dentistry | 6 | 10% |
| Nursing and Health Professions | 5 | 8% |
| Agricultural and Biological Sciences | 3 | 5% |
| Engineering | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 19 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 October 2012.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from BMC Sports Science, Medicine and Rehabilitation
#633
of 680 outputs
Outputs of similar age
#169,970
of 189,234 outputs
Outputs of similar age from BMC Sports Science, Medicine and Rehabilitation
#2
of 5 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 680 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 189,234 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.