| Title |
Association Between Cortisol to DHEA-s Ratio and Sickness Absence in Japanese Male Workers
|
|---|---|
| Published in |
International Journal of Behavioral Medicine, November 2017
|
| DOI | 10.1007/s12529-017-9700-1 |
| Pubmed ID | |
| Authors |
Kumi Hirokawa, Yasuhito Fujii, Toshiyo Taniguchi, Jiro Takaki, Akizumi Tsutsumi |
| Abstract |
This study aimed to investigate the association between serum levels of cortisol and dehydroepiandrosterone sulfate (DHEA-s) and sickness absence over 2 years in Japanese male workers. A baseline survey including questions about health behavior, along with blood sampling for cortisol and DHEA-s, was conducted in 2009. In total, 429 men (mean ± SD age, 52.9 ± 8.6 years) from whom blood samples were collected at baseline were followed until December 31, 2011. The hazard ratios (HR) and 95% confidence intervals (CI) for sickness absence were calculated using a Cox proportional hazard model, adjusted for potential confounders. Among 35 workers who took sickness absences, 31 had physical illness. A high cortisol to DHEA-s ratio increased the risk of sickness absence (crude HR = 2.68, 95% CI 1.12-6.41; adjusted HR = 3.33, 95% CI 1.35-8.20). The cortisol to DHEA-s ratio was linearly associated with an increased risk of sickness absence (p for trend < .050). Single effects of cortisol and DHEA-s levels were not associated with sickness absences. This trend did not change when limited to absences resulting from physical illness. Hormonal conditions related to the hypothalamus-pituitary-adrenocortical axis and adrenal function should be considered when predicting sickness absence. The cortisol to DHEA-s ratio may be more informative than single effects of cortisol and DHEA-s levels. |
X Demographics
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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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 13% |
| Librarian | 1 | 7% |
| Lecturer | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Professor | 1 | 7% |
| Other | 3 | 20% |
| Unknown | 6 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 3 | 20% |
| Arts and Humanities | 1 | 7% |
| Veterinary Science and Veterinary Medicine | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Earth and Planetary Sciences | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 8 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 16 May 2018.
All research outputs
#4,157,010
of 23,577,654 outputs
Outputs from International Journal of Behavioral Medicine
#214
of 925 outputs
Outputs of similar age
#86,495
of 440,701 outputs
Outputs of similar age from International Journal of Behavioral Medicine
#3
of 14 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 925 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one has done well, scoring higher than 75% of its peers.
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We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.