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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Regional Gray Matter Volume Is Associated with Restrained Eating in Healthy Chinese Young Adults: Evidence from Voxel-Based Morphometry
|
|---|---|
| Published in |
Frontiers in Psychology, March 2017
|
| DOI | 10.3389/fpsyg.2017.00443 |
| Pubmed ID | |
| Authors |
Yanhua Su, Todd Jackson, Dongtao Wei, Jiang Qiu, Hong Chen |
| Abstract |
Highlight Participants were non-clinical young adults with different restrained eating levels.We assessed relations of restrained eating (RE) with regional gray matter volume (rGMV).High RE scores were related to larger GMV in specific areas related to reward.High RE scores were also linked to less GMV in regions related to response inhibition. Objective: Dieting is a popular method of weight control. However, few dieters are able to maintain initial weight losses over an extended period of time. Why do most restrained dieters fail to lose weight? Alterations in brain structures associated with restrained eating (RE) represent one potentially important mechanism that contributes to difficulties in maintaining weight loss within this group. To evaluate this contention, we investigated associations between intentional, sustained restriction of food intake to lose or maintain body weight, and regional gray matter volume (rGMV) within a large non-clinical young adult, sample. Methods: Participants (150 women, 108 men) completed measures of RE and demographics prior to undergoing an MRI scan. Voxel-based morphometry (VBM) evaluated strengths of association between RE scores and rGMV. Results: Higher RE levels corresponded to more rGMV in regions linked to risk of overeating and binge-eating including the left insula and orbitofrontal cortex (OFC). Conversely, RE had significant negative correlations with rGMV in the left and right posterior cingulum gyrus, regions linked to inhibitory control and potential risk for future weight gain. Conclusions: Together, findings suggested individual differences in RE among young adults correspond to GMV variability in regions linked to overweight and obesity risk. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 18% |
| Student > Ph. D. Student | 8 | 18% |
| Student > Doctoral Student | 5 | 11% |
| Student > Postgraduate | 3 | 7% |
| Researcher | 3 | 7% |
| Other | 4 | 9% |
| Unknown | 13 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 12 | 27% |
| Medicine and Dentistry | 6 | 14% |
| Neuroscience | 3 | 7% |
| Social Sciences | 3 | 7% |
| Agricultural and Biological Sciences | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 16 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 27 March 2017.
All research outputs
#14,928,316
of 22,961,203 outputs
Outputs from Frontiers in Psychology
#16,210
of 30,113 outputs
Outputs of similar age
#184,300
of 308,951 outputs
Outputs of similar age from Frontiers in Psychology
#382
of 529 outputs
Altmetric has tracked 22,961,203 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,113 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 38th percentile – i.e., 38% 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 308,951 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 529 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.