Literature DB >> 16404207

Health-related quality of life, psychosocial work conditions, and absenteeism in an industrial sample of blue- and white-collar employees: a comparison of potential predictors.

Dirk Hanebuth1, Michael Meinel, Joachim E Fischer.   

Abstract

PROBLEM: There is a scarcity of data simultaneously evaluating the relationship of health behavior, health perception, work characteristics, and demographic variables with sickness absenteeism in industrial employees.
METHOD: Predictors and possible confounders (smoking, physical activity, alcohol intake, age, gender, body mass index, income) were regressed against frequency indices and the time lost index derived from the day-to-day absence data of 1524 employees at a manufacturing plant in Germany. Frequency indices were the number of sick-leave spells of 1, 2-3, 4-5, and >5 days within 1 year. RESULTS/
CONCLUSION: Effort-reward imbalance, lack of support by supervisors or coworkers, negative affectivity, exhaustion, and impaired health perception were significantly associated with absence spells and the time lost index. Job demands and job control as well as overcommitment were unrelated to absenteeism indices. Multivariate models suggest mediation through impaired health-related quality of life.

Entities:  

Mesh:

Year:  2006        PMID: 16404207     DOI: 10.1097/01.jom.0000195319.24750.f8

Source DB:  PubMed          Journal:  J Occup Environ Med        ISSN: 1076-2752            Impact factor:   2.162


  14 in total

1.  Social support and its interrelationships with demand-control model factors on presenteeism and absenteeism in Japanese civil servants.

Authors:  Yasuaki Saijo; Eiji Yoshioka; Yoshihiko Nakagi; Yasuyuki Kawanishi; Sharon J B Hanley; Takahiko Yoshida
Journal:  Int Arch Occup Environ Health       Date:  2017-03-29       Impact factor: 3.015

2.  Construct validity of SF-6D health state utility values in an employed population.

Authors:  Siyan Baxter; Kristy Sanderson; Alison Venn; Petr Otahal; Andrew J Palmer
Journal:  Qual Life Res       Date:  2014-10-11       Impact factor: 4.147

3.  Alcohol consumption and workplace absenteeism: the moderating effect of social support.

Authors:  Samuel B Bacharach; Peter Bamberger; Michal Biron
Journal:  J Appl Psychol       Date:  2010-03

4.  Association between psychosocial job characteristics and sickness absence due to low back symptoms using combined DCS and ERI models.

Authors:  Shanfa Yu; Ming-Lun Lu; Guizhen Gu; Wenhui Zhou; Lihua He; Sheng Wang
Journal:  Work       Date:  2015

5.  Effort-reward imbalance, "locked in" at work, and long-term sick leave.

Authors:  Göran Fahlén; Hans Goine; Curt Edlund; Britt Arrelöv; Anders Knutsson; Richard Peter
Journal:  Int Arch Occup Environ Health       Date:  2008-04-17       Impact factor: 3.015

Review 6.  Type D personality in the general population: a systematic review of health status, mechanisms of disease, and work-related problems.

Authors:  Floortje Mols; Johan Denollet
Journal:  Health Qual Life Outcomes       Date:  2010-01-23       Impact factor: 3.186

7.  Women's higher likelihood of disability pension: the role of health, family and work. A 5-7 years follow-up of the Hordaland Health Study.

Authors:  Inger Haukenes; Sturla Gjesdal; Guri Rortveit; Trond Riise; John Gunnar Maeland
Journal:  BMC Public Health       Date:  2012-08-31       Impact factor: 3.295

8.  Perceived Working Conditions and Sickness Absence - A Four-year Follow-up in the Food Industry.

Authors:  Anna E Siukola; Pekka J Virtanen; Tiina H Luukkaala; Clas-Håkan Nygård
Journal:  Saf Health Work       Date:  2011-11-01

9.  Determinants for return to work among sickness certified patients in general practice.

Authors:  Anna-Sophia von Celsing; Kurt Svärdsudd; Hans-G Eriksson; Karin Björkegren; Margaretha Eriksson; Thorne Wallman
Journal:  BMC Public Health       Date:  2012-12-14       Impact factor: 3.295

10.  A study of the health-related quality of life and work-related stress of white-collar migrant workers.

Authors:  Su-Ying Tsai
Journal:  Int J Environ Res Public Health       Date:  2012-10-19       Impact factor: 3.390

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