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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mediating role of emotional labor in the association between emotional intelligence and fatigue among Chinese doctors: a cross-sectional study
|
|---|---|
| Published in |
BMC Public Health, July 2018
|
| DOI | 10.1186/s12889-018-5817-7 |
| Pubmed ID | |
| Authors |
Li Liu, Peiyao Xu, Kexin Zhou, Jiayu Xue, Hui Wu |
| Abstract |
Fatigue is highly prevalent among doctors worldwide. However, no research has been done to examine the associations of emotional intelligence (EI) and emotional labor strategy with fatigue among Chinese doctors. This study aimed to examine whether or not emotional labor strategy mediates the association between EI and fatigue in this occupational group. A cross-sectional study was conducted in Shenyang from March to April 2014. A set of self-administered questionnaires was distributed to 950 doctors, including Chalder Fatigue Scale (CFS), Wong and Law Emotional Intelligence Scale (WLEIS) and a 14-item emotional labor scale. Complete responses were obtained from 740 (77.9%) participants. Hierarchical linear regression was performed to examine the associations of EI and emotional labor strategies (surface acting, SA; deep acting, DA; natural acting, NA) with fatigue. Asymptotic and resampling strategies were used to examine the mediating roles of emotional labor strategies. The mean score of fatigue was 8.02 (SD = 3.39). After adjusting for age, gender, marital status, job rank, monthly income, weekly working time, shift and department, EI was negatively associated with fatigue (β = - 0.270, P < 0.001). SA was positively associated with fatigue (β = 0.168, P < 0.001), whereas NA was negatively associated with fatigue (β = - 0.105, P = 0.004); however, DA was not significantly associated with fatigue (β = 0.034, P = 0.381). Thus, SA (a × b = - 0.026, BCa 95% CI: - 0.050, - 0.011) and NA (a × b = - 0.024, BCa 95% CI: - 0.046, - 0.006) significantly mediated the association between EI and fatigue, respectively. There was a high level of fatigue among Chinese doctors. EI could indirectly reduce fatigue partially through modifying SA and NA strategies, respectively. EI intervention, education and training in emotional labor should be carried out to cope with fatigue. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Slovenia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 13% |
| Student > Master | 8 | 13% |
| Student > Bachelor | 4 | 7% |
| Student > Doctoral Student | 4 | 7% |
| Other | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 25 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 6 | 10% |
| Medicine and Dentistry | 5 | 8% |
| Business, Management and Accounting | 5 | 8% |
| Nursing and Health Professions | 4 | 7% |
| Social Sciences | 4 | 7% |
| Other | 7 | 11% |
| Unknown | 30 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 12 November 2022.
All research outputs
#3,311,187
of 23,098,660 outputs
Outputs from BMC Public Health
#3,792
of 15,063 outputs
Outputs of similar age
#67,838
of 326,752 outputs
Outputs of similar age from BMC Public Health
#115
of 331 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,063 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has gotten more attention than average, scoring higher than 74% 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 326,752 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 331 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 65% of its contemporaries.