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Factors associated with depressive symptoms in blue-collar and white-collar male workers

Overview of attention for article published in Sangyō eiseigaku zasshi Journal of occupational health, May 2015
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Title
Factors associated with depressive symptoms in blue-collar and white-collar male workers
Published in
Sangyō eiseigaku zasshi Journal of occupational health, May 2015
DOI 10.1539/sangyoeisei.b14011
Pubmed ID
Authors

Yurika Kawasaki, Naoko Nishitani, Hisataka Sakakibara

Abstract

Mental disorders are increasing and their influence on productivity is a concern in the workplace. However, few studies have investigated depression among blue-collar and white-collar workers in the manufacturing industry. The purpose of this study was to clarify the factors associated with depressive symptoms, focusing on lifestyles and insomnia. A self-administered questionnaire survey was conducted of 1,963 workers at an annual health checkup in a manufacturing company. Of the 1,712 respondents (response rate: 87%), 1,258 male worker subjects (blue-collar 674; white-collar 584) were analyzed after excluding those with mental diseases. The questionnaire included items on basic attributes and lifestyle. The Athens Insomnia Scale (AIS) and The Center for Epidemiologic Studies for Depression Scale (CES-D) were used to evaluate insomnia and depressive symptoms. The incidence of depressive symptoms with CES-D scores of ≥16 was 15.1% in both the blue-collar and the white-collar workers. Insomnia with AIS scores of ≥6 were encountered in 18.8% of the blue-collar workers and 18.3% of the white-collar workers. Multiple logistic regression analyses showed that for the blue-collar workers, depressive symptoms were associated with "AIS scores≥6" (Odds ratio (OR): 10.93; 95% confidence interval(CI): 6.12-19.15), "not get rid of fatigue with sleep" (OR: 3.36; 95% CI: 1.85-6.09), "skip breakfast over 3 times a week" (OR: 3.10; 95%CI:1.42-6.76), "no family living together" (OR: 2.08; 95% CI: 1.05-4.12), and "commuting time" (OR: 1.01; 95% CI: 1.00-1.02). For the white-collar workers, depressive symptoms were related to "AIS scores≥6" (OR: 14.91; 95% CI: 7.54-29.49), and "no family living together" (OR: 2.54; 95% CI: 1.27-5.09). Sleep time was not associated with depression in both blue- and white-collar workers. Depressive symptoms were found in 51.6% of the blue-collar workers with insomnia with AIS scores≥6 and 53.8% of white-collar workers. Depressive symptoms were found at the same prevalence rate in both blue-collar and white-collar workers, which suggests that health measures for depression are necessary for both types of worker. Depressive symptoms were significantly associated with insomnia. Health advice focusing on insomnia as well as lifestyle may be important for workers.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 22%
Student > Ph. D. Student 5 19%
Researcher 4 15%
Lecturer 1 4%
Student > Doctoral Student 1 4%
Other 1 4%
Unknown 9 33%
Readers by discipline Count As %
Nursing and Health Professions 4 15%
Medicine and Dentistry 4 15%
Psychology 4 15%
Economics, Econometrics and Finance 2 7%
Social Sciences 2 7%
Other 3 11%
Unknown 8 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 April 2020.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Sangyō eiseigaku zasshi Journal of occupational health
#59
of 261 outputs
Outputs of similar age
#96,796
of 280,163 outputs
Outputs of similar age from Sangyō eiseigaku zasshi Journal of occupational health
#2
of 5 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 261 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 39th percentile – i.e., 39% 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 280,163 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.