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Mendeley readers
Attention Score in Context
| Title |
Optimal waist circumference cut-off points for predicting metabolic syndrome among low-income black South African adults
|
|---|---|
| Published in |
BMC Research Notes, January 2018
|
| DOI | 10.1186/s13104-018-3136-9 |
| Pubmed ID | |
| Authors |
Eyitayo Omolara Owolabi, Daniel Ter Goon, Oladele Vincent Adeniyi, Anthony Idowu Ajayi |
| Abstract |
Waist circumference has been identified as one of the strongest predictive tool for metabolic syndrome. This study determines the optimal cut-off point of waist circumference for metabolic syndrome among low-income earning South African black population, in Eastern Cape, South Africa. The optimal waist circumference cut-off point was determined through receiver operating characteristics analysis using the maximum Youden index. Among men, waist circumference at a cut-off value of 95.25 cm yielded the highest Youden index of 0.773 (sensitivity = 98%, specificity = 79%, area under curve 0.893). For women, waist circumference of 89.45 cm yielded the highest Youden index of 0.339 (sensitivity = 88%, specificity = 46%, area under curve 0.713). The prevalence of metabolic syndrome among men, women and both sexes using the new cut-off points were: 17.8, 20.8 and 17.7%, respectively, compared to; 15.6, 24.8 and 21.8%, using the traditional cut-off values of 94 and 80 cm for men and women, respectively. The traditional waist circumference value slightly under-estimated the prevalence of metabolic syndrome among men and over-estimated among women and the overall population. A specific waist circumference cut-off point for South African blacks is needed for correct identification of the metabolic state of the populace in order to develop appropriate interventions. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Nigeria | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 15% |
| Student > Bachelor | 7 | 9% |
| Student > Postgraduate | 6 | 8% |
| Researcher | 5 | 6% |
| Student > Doctoral Student | 5 | 6% |
| Other | 15 | 19% |
| Unknown | 29 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 22% |
| Nursing and Health Professions | 15 | 19% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Philosophy | 2 | 3% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 10 | 13% |
| Unknown | 30 | 38% |
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 13 January 2018.
All research outputs
#18,583,054
of 23,016,919 outputs
Outputs from BMC Research Notes
#3,036
of 4,283 outputs
Outputs of similar age
#331,506
of 443,072 outputs
Outputs of similar age from BMC Research Notes
#122
of 178 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,283 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 16th percentile – i.e., 16% 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 443,072 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 178 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.