| Title |
The Performance of Obesity Screening Tools Among Young Thai Adults
|
|---|---|
| Published in |
Journal of Community Health, May 2014
|
| DOI | 10.1007/s10900-014-9881-3 |
| Pubmed ID | |
| Authors |
Panita Limpawattana, Thepkhachi Kengkijkosol, Prasert Assantachai, Orapitchaya Krairit, Jiraporn Pimporm |
| Abstract |
Obesity is a worldwide medical condition that leads to physical and psychological impairment. Specific ethnicity, gender and age group are related to different performances of anthropometric indices to predict obesity. The objectives of this study were to estimate the performance of the anthropometric indices for detecting obesity based on percentage of body fat (PBF), to study the correlation among those indices, and to determine the optimal cut-off point of the indices among young Thai adults. This is a cross-sectional study of healthy urban subjects in Khon Kaen, Thailand who were aged 20-39 years. Baseline characteristics and anthropometric measures were collected. PBF was determined using bioelectrical impedance analysis. Demographic data and anthropometric variables were analyzed using descriptive statistics. Receiver-operating characteristic (ROC) curves were used to compare the performance of anthropometric measures as predictors of obesity. One-hundred men and 100 women were recruited for this study. Body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-stature ratio (WSR) were significantly correlated to PBF. BMI demonstrated the best performance according to the area under the ROC curves in both sexes at cut-off points of 22.5 in women or 25 kg/m(2) in men. WC and WSR showed better performance than WHR to detect obesity. In conclusion, anthropometric indices in young Thai adults were correlated well with PBF to predict obesity as shown in prior reports. Different cut-off points of these indices to define obesity in young Thai adults are recommended. The global cut-off points of WSR in women regardless of ethnicity are supported. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Nigeria | 1 | 4% |
| Unknown | 26 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 19% |
| Student > Bachelor | 3 | 11% |
| Lecturer | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 10 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 19% |
| Nursing and Health Professions | 3 | 11% |
| Social Sciences | 3 | 11% |
| Agricultural and Biological Sciences | 1 | 4% |
| Psychology | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 11 | 41% |
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 04 November 2014.
All research outputs
#21,445,966
of 23,940,793 outputs
Outputs from Journal of Community Health
#1,160
of 1,276 outputs
Outputs of similar age
#198,838
of 230,417 outputs
Outputs of similar age from Journal of Community Health
#19
of 20 outputs
Altmetric has tracked 23,940,793 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 1,276 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. 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 230,417 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 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.