Literature DB >> 26392307

The impact of co-morbid mental and physical disorders on presenteeism.

Amber Bielecky1, Cynthia Chen, Selahadin Ibrahim, Dorcas E Beaton, Cameron A Mustard, Peter M Smith.   

Abstract

OBJECTIVES: This study sought to: (i) explore the impact of mood disorders (such as depression, bipolar disorder, mania, or dysthymia) and five age-related chronic physical conditions (arthritis, back pain, diabetes, heart disease, and hypertension) on presenteeism (as indicated by self-reported activity limitations at work), and (ii) examine how mood disorders interact with each physical condition to affect this work outcome.
METHODS: Using Canadian Community Health Survey (CCHS) data, we modeled the relationships between self-reported restrictions at work and each health condition. We then calculated synergy indices (SI) for the interaction between mood disorders and each of the five physical conditions.
RESULTS: All six health conditions were associated with presenteeism. The strongest association was observed for back pain [prevalence ratio (PR) 2.70, 95% confidence interval (95% CI) 2.57-2.83] and the weakest for hypertension (PR 1.18, 95% CI 1.11-1.25). The unadjusted SI indicated no interactions between mood disorders and any of the physical conditions, while the adjusted SI indicated statistically significant interactions between mood disorders and each of the five physical conditions. The statistically significant adjusted interactions were in a negative direction, such that having a mood disorder concurrent with a chronic physical condition was associated with a lower burden of presenteeism than expected. Post-hoc analyses revealed that this unexpected finding was attributable to adjustment for other co-morbid health conditions, particularly arthritis and back pain.
CONCLUSIONS: Our results suggest that targeting chronic physical conditions or mood disorders may be productive in reducing presenteeism. The combined effect on presenteeism when the two types of conditions occur simultaneously is similar to the additive effect of these conditions when each occurs in isolation.

Entities:  

Mesh:

Year:  2015        PMID: 26392307     DOI: 10.5271/sjweh.3524

Source DB:  PubMed          Journal:  Scand J Work Environ Health        ISSN: 0355-3140            Impact factor:   5.024


  15 in total

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3.  Impacts of presenteeism on work-related injury absence and disease absence.

Authors:  Youna Won; Hwan-Cheol Kim; Jiho Kim; Minsun Kim; Seong-Cheol Yang; Shin-Goo Park; Jong-Han Leem
Journal:  Ann Occup Environ Med       Date:  2022-09-23

4.  Healthy and productive workers: using intervention mapping to design a workplace health promotion and wellness program to improve presenteeism.

Authors:  Carlo Ammendolia; Pierre Côté; Carol Cancelliere; J David Cassidy; Jan Hartvigsen; Eleanor Boyle; Sophie Soklaridis; Paula Stern; Benjamin Amick
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5.  Validity and responsiveness of the work functioning impairment scale (WFun) in workers with pain due to musculoskeletal disorders.

Authors:  Misako Makishima; Yoshihisa Fujino; Tatsuhiko Kubo; Hiroyuki Izumi; Masamichi Uehara; Ichiro Oyama; Shinya Matsuda
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6.  Factors of occurrence and improvement methods of presenteeism attributed to diabetes: A systematic review.

Authors:  Koji Mori; Takahiro Mori; Tomohisa Nagata; Masako Nagata; Mahoko Iwasaki; Hiroki Sakai; Koki Kimura; Natsumi Shinzato
Journal:  J Occup Health       Date:  2019-01       Impact factor: 2.708

7.  Examining the effects of low back pain and mental health symptoms on healthcare utilisation and costs: a protocol for a population-based cohort study.

Authors:  Jessica J Wong; Pierre Côté; Andrea C Tricco; Laura C Rosella
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Review 9.  Multimorbidity and Its Impact on Workers: A Review of Longitudinal Studies.

Authors:  Giorgione G Cabral; Ana C Dantas de Souza; Isabelle R Barbosa; Javier Jerez-Roig; Dyego L B Souza
Journal:  Saf Health Work       Date:  2019-08-31

10.  Multimorbidity Development in Working People.

Authors:  Sukyong Seo
Journal:  Int J Environ Res Public Health       Date:  2019-11-27       Impact factor: 3.390

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