| Title |
The utility of fat mass index vs. body mass index and percentage of body fat in the screening of metabolic syndrome
|
|---|---|
| Published in |
BMC Public Health, July 2013
|
| DOI | 10.1186/1471-2458-13-629 |
| Pubmed ID | |
| Authors |
Pengju Liu, Fang Ma, Huiping Lou, Yanping Liu |
| Abstract |
It has been well documented that obesity is closely associated with metabolic syndrome (MetS). Although body mass index (BMI) is the most frequently used method to assess overweightness and obesity, this method has been criticized because BMI does not always reflect true body fatness, which may be better evaluated by assessment of body fat and fat-free mass. The objective of this study was to investigate the best indicator to predict the presence of MetS among fat mass index, BMI and percentage of body fat (BF %) and determine its optimal cut-off value in the screening of MetS in practice. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 269 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | <1% |
| Australia | 1 | <1% |
| Peru | 1 | <1% |
| Mexico | 1 | <1% |
| Denmark | 1 | <1% |
| Russia | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 262 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 42 | 16% |
| Student > Bachelor | 38 | 14% |
| Student > Ph. D. Student | 24 | 9% |
| Researcher | 18 | 7% |
| Student > Postgraduate | 18 | 7% |
| Other | 58 | 22% |
| Unknown | 71 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 76 | 28% |
| Nursing and Health Professions | 29 | 11% |
| Agricultural and Biological Sciences | 21 | 8% |
| Biochemistry, Genetics and Molecular Biology | 15 | 6% |
| Social Sciences | 11 | 4% |
| Other | 36 | 13% |
| Unknown | 81 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 23 December 2023.
All research outputs
#2,923,329
of 25,046,944 outputs
Outputs from BMC Public Health
#3,408
of 16,708 outputs
Outputs of similar age
#23,759
of 199,933 outputs
Outputs of similar age from BMC Public Health
#41
of 247 outputs
Altmetric has tracked 25,046,944 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,708 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done well, scoring higher than 79% of its peers.
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 199,933 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.