| Title |
Identifying associations between sedentary time and cardio-metabolic risk factors in working adults using objective and subjective measures: a cross-sectional analysis
|
|---|---|
| Published in |
BMC Public Health, December 2014
|
| DOI | 10.1186/1471-2458-14-1307 |
| Pubmed ID | |
| Authors |
Takanori Honda, Sanmei Chen, Hiro Kishimoto, Kenji Narazaki, Shuzo Kumagai |
| Abstract |
Sedentary behavior has been reported to be associated with metabolic and vascular health independent of moderate-to-vigorous physical activity (MVPA). In order to select appropriate options to measure sedentary behavior in practice and research settings, it is worthwhile to characterize the extent to which objective and subjective measures of sedentary behavior quantify adverse health risks in the same population. This cross-sectional analysis compared accelerometer-derived and self-reported sedentary time to identify their association with cardio-metabolic risk factors. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 50% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Japan | 1 | <1% |
| Israel | 1 | <1% |
| Portugal | 1 | <1% |
| Unknown | 150 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 18% |
| Student > Master | 24 | 16% |
| Researcher | 16 | 10% |
| Student > Bachelor | 14 | 9% |
| Student > Doctoral Student | 7 | 5% |
| Other | 25 | 16% |
| Unknown | 40 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 40 | 26% |
| Sports and Recreations | 18 | 12% |
| Nursing and Health Professions | 14 | 9% |
| Agricultural and Biological Sciences | 7 | 5% |
| Social Sciences | 7 | 5% |
| Other | 17 | 11% |
| Unknown | 51 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 29 December 2014.
All research outputs
#7,003,738
of 23,576,969 outputs
Outputs from BMC Public Health
#7,198
of 15,300 outputs
Outputs of similar age
#93,583
of 356,156 outputs
Outputs of similar age from BMC Public Health
#90
of 210 outputs
Altmetric has tracked 23,576,969 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 15,300 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one has gotten more attention than average, scoring higher than 52% 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 356,156 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.