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The relationship between work stress and work ability among power supply workers in Guangdong, China: a cross-sectional study

Overview of attention for article published in BMC Public Health, February 2016
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2 X users

Citations

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27 Dimensions

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68 Mendeley
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Title
The relationship between work stress and work ability among power supply workers in Guangdong, China: a cross-sectional study
Published in
BMC Public Health, February 2016
DOI 10.1186/s12889-016-2800-z
Pubmed ID
Authors

Hualiang Li, Zhiting Liu, Runzhong Liu, Li Li, Aihua Lin

Abstract

Faced with the challenge of population aging, a prolonged working life is increasingly important in today's society. Maintaining work ability of employees is one of the effective ways to cope with the challenges to sustainability of the workforce presented by population aging. Researchers have shown ongoing interest in exploring the determinants of restricted work ability. The aim of this study was to evaluate the effects of work stress on work ability among power supply workers in Guangdong, China. A cross-sectional study was conducted among power supply workers during August 2014 to September 2014. A total of 805 subjects were enrolled in the study. Work stress was assessed by the Job Content Questionnaire and the Effort Reward Imbalance Questionnaire. Work ability was assessed by the Work Ability Index (WAI). The structural equation model was applied to test the relationship between different work stress components and work ability simultaneously using the Job Demands-Resources model as a framework. Job resources (measured by job control, reward and social support) were positively and directly associated with work ability (β = 0.70, P < 0.001). The association between job demands and work ability was also statistically significant (β = -0.09, P = 0.030). In addition, the findings also supported previous studies in that job demands were correlated with job resources (β = -0.26, P < 0.001). Our findings suggest that decision makers and health care providers should consider increasing job resources available to power supply workers. Consideration of organizational changes related to the design of the job task also would be useful to improve the employees' work ability.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 19%
Student > Ph. D. Student 6 9%
Student > Doctoral Student 6 9%
Student > Postgraduate 5 7%
Student > Bachelor 4 6%
Other 10 15%
Unknown 24 35%
Readers by discipline Count As %
Psychology 9 13%
Medicine and Dentistry 6 9%
Nursing and Health Professions 6 9%
Social Sciences 4 6%
Business, Management and Accounting 3 4%
Other 13 19%
Unknown 27 40%
Attention Score in Context

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 07 February 2016.
All research outputs
#13,455,370
of 22,844,985 outputs
Outputs from BMC Public Health
#9,557
of 14,884 outputs
Outputs of similar age
#191,854
of 397,355 outputs
Outputs of similar age from BMC Public Health
#152
of 253 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,884 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 33rd percentile – i.e., 33% 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 397,355 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 50% of its contemporaries.
We're also able to compare this research output to 253 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.