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Mendeley readers
Attention Score in Context
| Title |
The impact of shift and night work on health related quality of life of working women: findings from the Korea Health Panel
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, November 2016
|
| DOI | 10.1186/s12955-016-0564-x |
| Pubmed ID | |
| Authors |
Woorim Kim, Tae Hyun Kim, Tae-Hoon Lee, Jae Woo Choi, Eun-Cheol Park |
| Abstract |
Night and shift work status has been associated with health related quality of life (HRQoL) in economically active women. This study aimed to investigate the association between night or shift work status and HRQoL of economically active women and to further analyze how marital status interplays in the objected relationship. Data were from the Korea Health Panel, 2011 to 2013. A total of 2238 working women were included for analysis. Work status was categorized into day work, night work, and rotating shift work and its association with HRQoL, measured using the EuroQol-5D (EQ-5D) index, was investigated using the generalized estimating equation (GEE) model. Compared to the day work reference group, the night work group (β: -0.9757, P = 0.0202) and the rotating shift work group (β: -0.7947, P = 0.0363) showed decreases in EQ-5D scores. This trend was maintained regardless of marital status, although decreases in health related quality of life were particularly pronounced among night shift workers with a spouse. Night and rotating shift work status was associated with HRQoL of economically active women as individuals working night and rotating shifts showed decreases in EQ-5D scores compared to individuals working day shifts. The findings of this study signify the importance of monitoring the HRQoL status of women working night and rotating shifts as these individuals may be comparatively vulnerable to reduced HRQoL. |
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 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 129 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 12% |
| Student > Bachelor | 15 | 12% |
| Researcher | 9 | 7% |
| Student > Doctoral Student | 8 | 6% |
| Other | 7 | 5% |
| Other | 18 | 14% |
| Unknown | 56 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 17 | 13% |
| Medicine and Dentistry | 14 | 11% |
| Business, Management and Accounting | 11 | 9% |
| Social Sciences | 7 | 5% |
| Economics, Econometrics and Finance | 3 | 2% |
| Other | 16 | 12% |
| Unknown | 61 | 47% |
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 28 November 2016.
All research outputs
#17,828,338
of 22,903,988 outputs
Outputs from Health and Quality of Life Outcomes
#1,469
of 2,160 outputs
Outputs of similar age
#287,796
of 416,651 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#15
of 32 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,160 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 22nd percentile – i.e., 22% 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 416,651 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.