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Mendeley readers
Attention Score in Context
| Title |
Binge eating disorder and depressive symptoms among females of child-bearing age: the Korea Nurses' Health Study
|
|---|---|
| Published in |
BMC Psychiatry, January 2018
|
| DOI | 10.1186/s12888-018-1601-6 |
| Pubmed ID | |
| Authors |
O. Kim, M. S. Kim, J. Kim, J. E. Lee, H. Jung |
| Abstract |
Most studies regarding the relationship between binge eating disorder (BED) and depression have targeted obese populations. However, nurses, particularly female nurses, are one of the vocations that face these issues due to various reasons including high stress and shift work. This study investigated the prevalence of BED and the correlation between BED and severity of self-reported depressive symptoms among female nurses in South Korea. Participants were 7,267 female nurses, of which 502 had symptoms of BED. Using the propensity score matching (PSM) technique, 502 nurses with BED and 502 without BED were included in the analyses. Data were analyzed using descriptive statistics, Spearman's correlation, and multivariable ordinal logistic regression analysis. The proportion of binge eating disorder was 6.90% among the nurses, and 81.3% of nurses displayed some levels of depressive symptoms. Multivariable ordinal logistic regression analysis revealed that age (40 years old and older), alcohol consumption (frequent drinkers), self-rated health, sleep problems, and stress were associated with self-reported depression symptoms. Overall, after adjusting for confounders, nurses with BED had 1.80 times the risk (95% CI = [1.41-2.30]; p-value < 0.001) of experiencing a greater severity of self-reported depression symptoms. Korean female nurse showed a higher prevalence of both binge eating disorder and depressive symptoms, and the association between the two factors was proven in the study. Therefore, hospital management and health policy makers should be alarmed and agreed on both examining nurses on such problems and providing organized and systematic assistance. |
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 % |
|---|---|---|
| France | 1 | 50% |
| United States | 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 91 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 14% |
| Student > Ph. D. Student | 8 | 9% |
| Student > Bachelor | 8 | 9% |
| Student > Postgraduate | 5 | 5% |
| Other | 5 | 5% |
| Other | 13 | 14% |
| Unknown | 39 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 11 | 12% |
| Psychology | 11 | 12% |
| Medicine and Dentistry | 7 | 8% |
| Social Sciences | 7 | 8% |
| Neuroscience | 3 | 3% |
| Other | 7 | 8% |
| Unknown | 45 | 49% |
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 21 January 2018.
All research outputs
#15,488,947
of 23,016,919 outputs
Outputs from BMC Psychiatry
#3,433
of 4,747 outputs
Outputs of similar age
#270,281
of 441,888 outputs
Outputs of similar age from BMC Psychiatry
#72
of 88 outputs
Altmetric has tracked 23,016,919 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 4,747 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 21st percentile – i.e., 21% 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 441,888 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.