Literature DB >> 10492732

Workplace as an origin of health inequalities.

J Vahtera1, P Virtanen, M Kivimäki, J Pentti.   

Abstract

OBJECTIVE: To investigate the effect of the workplace on the socioeconomic gradient of sickness absence.
DESIGN: Comparison of the relation between socioeconomic status and employee sickness absence in three different towns. SETTINGS: The towns of Raisio, Valkeakoski, and Nokia in Finland. They are equal in size and regional social deprivation indices, located in the neighbourhood of a larger city, and produce the same services to the inhabitants.
SUBJECTS: All permanent local government employees from Raisio (n = 887), Valkeakoski (n = 972), and Nokia (n = 934) on the employer's registers during 1991 to 1993. MAIN OUTCOME MEASURES: Rates of short (1-3 days) and long (> 3 days) spells of sickness absence, irrespective of cause, and separately for infection, musculoskeletal disorder, and trauma.
RESULTS: In blue collar male and female workers, compared with the same sex higher grade white collar workers, the age adjusted numbers of long sick leaves were 4.9 (95% CI 4.2, 5.8) and 2.8 (2.6, 3.1) times higher, respectively. The risk varied significantly between the towns, in men in relation to long sick leaves irrespective of cause and resulting from musculoskeletal disorders, and in women in relation to long leaves resulting from infection. The numbers of long sick leaves were 3.9 (95% CI 2.8, 5.4) times higher in blue collar male workers than in higher grade white collar male workers in Raisio, 4.9 (95% CI 3.8, 6.3) times higher in Valkeakoski, and 5.8 (95% CI 4.5, 7.5) times higher in Nokia. Sickness absence of blue collar employees differed most between the towns. The rates of long sick leaves in blue collar men were 1.46 times greater (95% CI 1.25, 1.72) in Valkeakoski and 1.85 times greater (95% CI 1.58, 2.16) in Nokia than in Raisio. In men, no significant differences were found between the towns as regards the numbers of long sick leaves of higher grade white collar male workers. The socioeconomic gradients differed more between the towns in men who had worked for four years or more in the same employment than in men who had worked for shorter periods. No consistent health gradients of socioeconomic status were evident for short sick leaves among either sex.
CONCLUSIONS: In men and to a lesser extent in women, the workplace is significantly associated with health inequalities as reflected by medically certified sickness absence and the corresponding socioeconomic gradients of health.

Entities:  

Mesh:

Year:  1999        PMID: 10492732      PMCID: PMC1756934          DOI: 10.1136/jech.53.7.399

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  25 in total

1.  How should interventions to reduce inequalities in health be evaluated?

Authors:  J P Mackenbach; L J Gunning-Schepers
Journal:  J Epidemiol Community Health       Date:  1997-08       Impact factor: 3.710

2.  Socioeconomic inequalities in morbidity and mortality in western Europe. The EU Working Group on Socioeconomic Inequalities in Health.

Authors:  J P Mackenbach; A E Kunst; A E Cavelaars; F Groenhof; J J Geurts
Journal:  Lancet       Date:  1997-06-07       Impact factor: 79.321

3.  Current patterns and trends in male mortality by social class (based on occupation).

Authors:  F Drever; M Whitehead; M Roden
Journal:  Popul Trends       Date:  1996

4.  Lifetime socioeconomic position and mortality: prospective observational study.

Authors:  G D Smith; C Hart; D Blane; C Gillis; V Hawthorne
Journal:  BMJ       Date:  1997-02-22

5.  Effect of socioeconomic group on incidence of, management of, and survival after myocardial infarction and coronary death: analysis of community coronary event register.

Authors:  C Morrison; M Woodward; W Leslie; H Tunstall-Pedoe
Journal:  BMJ       Date:  1997-02-22

6.  Origins of health inequalities in a national population sample.

Authors:  C Power; S Matthews
Journal:  Lancet       Date:  1997-11-29       Impact factor: 79.321

7.  Psychosocial factors predicting employee sickness absence during economic decline.

Authors:  M Kivimäki; J Vahtera; L Thomson; A Griffiths; T Cox; J Pentti
Journal:  J Appl Psychol       Date:  1997-12

8.  Social inequalities in health: next questions and converging evidence.

Authors:  M Marmot; C D Ryff; L L Bumpass; M Shipley; N F Marks
Journal:  Soc Sci Med       Date:  1997-03       Impact factor: 4.634

9.  Low job control and risk of coronary heart disease in Whitehall II (prospective cohort) study.

Authors:  H Bosma; M G Marmot; H Hemingway; A C Nicholson; E Brunner; S A Stansfeld
Journal:  BMJ       Date:  1997-02-22

10.  Contribution of job control and other risk factors to social variations in coronary heart disease incidence.

Authors:  M G Marmot; H Bosma; H Hemingway; E Brunner; S Stansfeld
Journal:  Lancet       Date:  1997-07-26       Impact factor: 79.321

View more
  16 in total

1.  Persistent asthma, comorbid conditions and the risk of work disability: a prospective cohort study.

Authors:  R Hakola; P Kauppi; T Leino; A Ojajärvi; J Pentti; T Oksanen; T Haahtela; M Kivimäki; J Vahtera
Journal:  Allergy       Date:  2011-09-29       Impact factor: 13.146

2.  Health risks and informal employment in South Africa: does formality protect health?

Authors:  L Alfers; M Rogan
Journal:  Int J Occup Environ Health       Date:  2014-06-10

3.  Blue-collar work and women's health: A systematic review of the evidence from 1990 to 2015.

Authors:  Holly Elser; April M Falconi; Michelle Bass; Mark R Cullen
Journal:  SSM Popul Health       Date:  2018-08-18

4.  The Contribution of Alcohol Use, Other Lifestyle Factors and Working Conditions to Socioeconomic Differences in Sickness Absence.

Authors:  Jonas Landberg; Tomas Hemmingsson; Lovisa Sydén; Mats Ramstedt
Journal:  Eur Addict Res       Date:  2019-11-20       Impact factor: 3.015

5.  Changes in Health between Ages 54 and 65: The Role of Job Characteristics and Socioeconomic Status.

Authors:  John Robert Warren; Pascale Carayon; Peter Hoonakker
Journal:  Res Aging       Date:  2008-11-01

6.  Socioeconomic status and duration and pattern of sickness absence. A 1-year follow-up study of 2331 hospital employees.

Authors:  Trine R Kristensen; Signe M Jensen; Svend Kreiner; Sigurd Mikkelsen
Journal:  BMC Public Health       Date:  2010-10-25       Impact factor: 3.295

7.  Interrelationships between education, occupational class and income as determinants of sickness absence among young employees in 2002-2007 and 2008-2013.

Authors:  Hilla Sumanen; Olli Pietiläinen; Jouni Lahti; Eero Lahelma; Ossi Rahkonen
Journal:  BMC Public Health       Date:  2015-04-08       Impact factor: 3.295

8.  Educational differences in sickness absence trends among young employees from 2002 to 2013 in Helsinki, Finland.

Authors:  Hilla Sumanen; Eero Lahelma; Jouni Lahti; Olli Pietiläinen; Ossi Rahkonen
Journal:  BMJ Open       Date:  2016-05-06       Impact factor: 2.692

9.  Self-Certified Sickness Absence among Young Municipal Employees-Changes from 2002 to 2016 and Occupational Class Differences.

Authors:  Hilla Sumanen; Olli Pietiläinen; Minna Mänty
Journal:  Int J Environ Res Public Health       Date:  2017-09-26       Impact factor: 3.390

10.  Lost in translation: The challenge of adapting integrated approaches for worker health and safety for low- and middle-income countries.

Authors:  Glorian Sorensen; Eve M Nagler; Pratibha Pawar; Prakash C Gupta; Mangesh S Pednekar; Gregory R Wagner
Journal:  PLoS One       Date:  2017-08-24       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.