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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Personality Traits and Vitamin D3 Supplementation Affect Mood State 12 h Before 100 km Ultramarathon Run
|
|---|---|
| Published in |
Frontiers in Psychology, June 2018
|
| DOI | 10.3389/fpsyg.2018.00980 |
| Pubmed ID | |
| Authors |
Daniel Krokosz, Mariusz Lipowski, Piotr Aschenbrenner, Wojciech Ratkowski |
| Abstract |
Background: Participation in extreme endurance sports is becoming an increasingly popular activity, and thus more and more people are getting involved in it. Taking part in a 100 km run is associated with great physiological and psychological stress, which can affect one's mood state. Thus, the goal of this study was to determine if personality, experience, and motives for participation are related to a runner's mood and its changes as well as to investigate whether vitamin D3 supplementation influences mood 12 h before and 12 h after the run. Method: The study group consisted of 20 experienced marathon and ultramarathon runners taking part in a 100 km track run. All participants were males aged between 31 and 50 (M = 40.75, SD = 7.15). The group was divided in two equal subgroups: the placebo group and the group supplemented with vitamin D3. Personality traits were assessed using the Polish version of Eysenck's EPQ-R 106 and mood states were measured twice (12 h before and after the run) using the Polish version of the UMACL by Mathews, Chamberlain, and Jones. Motives for participation in ultramarathons were measured with the IPAO by Lipowski and Zaleski. Results: Levels of vitamin D3 correlated very strongly with energetic arousal (EA) (rs = 0.80; p < 0.05) and strongly hedonic tone (HT) (rs = 0.74; p < 0.05) 12 h before the run. There were no significant correlations between levels of vitamin D3 and mood states after the run. Moreover, extraversion correlated moderately with tense arousal (TA) (rs = -0.48; p < 0.05) and EA (rs = 0.47; p < 0.05) while neuroticism correlated moderately with TA (rs = 0.53; p < 0.05) and HT (rs = -0.57; p < 0.05). Conclusion: Both personality and vitamin D3 supplementation are related to runners' pre-run mood. These effects are nullified when it comes to post-run mood states. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 4 | 10% |
| Student > Master | 4 | 10% |
| Student > Bachelor | 4 | 10% |
| Student > Doctoral Student | 3 | 8% |
| Student > Postgraduate | 3 | 8% |
| Other | 8 | 21% |
| Unknown | 13 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 8 | 21% |
| Sports and Recreations | 4 | 10% |
| Medicine and Dentistry | 4 | 10% |
| Nursing and Health Professions | 2 | 5% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 18 | 46% |
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 05 July 2018.
All research outputs
#15,528,867
of 23,079,238 outputs
Outputs from Frontiers in Psychology
#19,057
of 30,437 outputs
Outputs of similar age
#210,130
of 329,198 outputs
Outputs of similar age from Frontiers in Psychology
#539
of 722 outputs
Altmetric has tracked 23,079,238 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,437 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 31st percentile – i.e., 31% 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 329,198 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 722 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.