You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
The effect of long working hours on 10-year risk of coronary heart disease and stroke in the Korean population: the Korea National Health and Nutrition Examination Survey (KNHANES), 2007 to 2013
|
|---|---|
| Published in |
Annals of Occupational and Environmental Medicine, November 2016
|
| DOI | 10.1186/s40557-016-0149-5 |
| Pubmed ID | |
| Authors |
Dong-Wook Lee, Yun-Chul Hong, Kyoung-Bok Min, Tae-Shik Kim, Min-Seok Kim, Mo-Yeol Kang |
| Abstract |
Recently, the emergence of long working hours and the associated conditions such as coronary heart disease (CHD) and stroke have gained attention. The aim of this study was to investigate the association between long working hours and the 10-year-risk of CHD and stroke, estimated by Jee's health risk-appraisal model for ischemic heart disease. We analyzed data from Koreans who randomly enrolled in Korean National Health and Nutrition Examination Survey 2008-2012 and finally included 13,799 participants. The participants were classified as per their working hours: 0-30 h/week, 31-39 h/week, 40 h/week, 41-50 h/week, 51-60 h/week, 61-70 h/week, 71-80 h/week, and >80 h/week. The risks for CHD and stroke were determined using Jee's health risk-appraisal model. Multiple logistic regression was used to analyze the association between working hours and 10-year risk for CHD. The 10-year risks for CHD and stroke were significantly and positively associated with working hours in both men and women. Furthermore, higher risks for CHD and stroke were associated with longer working hours in women. Long working hours are significantly associated with the risks of CHD and stroke, estimated by Jee's health risk-appraisal model. This study suggests the need for proper management of working hours to reduce CHD risk and stroke risk in the Korean population. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 17% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Master | 4 | 11% |
| Researcher | 3 | 8% |
| Other | 3 | 8% |
| Other | 5 | 14% |
| Unknown | 11 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 31% |
| Nursing and Health Professions | 6 | 17% |
| Social Sciences | 4 | 11% |
| Physics and Astronomy | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 11 | 31% |
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 26 January 2017.
All research outputs
#16,722,190
of 25,374,917 outputs
Outputs from Annals of Occupational and Environmental Medicine
#106
of 197 outputs
Outputs of similar age
#193,783
of 311,953 outputs
Outputs of similar age from Annals of Occupational and Environmental Medicine
#5
of 6 outputs
Altmetric has tracked 25,374,917 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 197 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 44th percentile – i.e., 44% 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 311,953 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.