Literature DB >> 18331774

The contribution of job characteristics to socioeconomic inequalities in incidence of myocardial infarction.

Martijn Huisman1, Frank Van Lenthe, Mauricio Avendano, Johan Mackenbach.   

Abstract

The current study estimated the contribution of job characteristics to socioeconomic inequalities in incidence of myocardial infarction (MI) during a 12-year follow-up period. Data were from the working population (aged 25-64 years) in the Netherlands longitudinal GLOBE study (N=5757). Self-reported information was available from baseline measurement (in 1991) for education, occupation, job demand, job control, fear of becoming unemployed, adverse physical working conditions, and smoking and alcohol use. Information on hospital admissions for MI among study participants was available until 2003, and was linked to baseline data via record linkage. Cox regression analyses were performed to estimate the hazard of MI in different socioeconomic groups before and after adjustment for job characteristics and health-related behaviours. Lower educated and manual workers had a higher risk of MI during follow-up, after adjusting for age, sex and marital status than higher educated and non-manual workers, respectively. After adjustment for occupation, the lowest educated still had an elevated risk of MI. After adjustment for education, no significant association of occupation with MI was observed. Job control and adverse physical working conditions were not significantly associated with MI after adjustment for socioeconomic position. These results suggest that the reduction of the socioeconomic position-MI association after adjustment for the two specific job characteristics reflect the effect of other unobserved factors closely related to both socioeconomic position and job characteristics. The results of this study point toward education as being the stronger predictor of hospital admitted MI, compared to occupational position and job characteristics, in the Dutch working population.

Entities:  

Mesh:

Year:  2008        PMID: 18331774     DOI: 10.1016/j.socscimed.2008.01.049

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  11 in total

1.  Strong association of physical job demands with functional limitations among active people: a population-based study in North-eastern France.

Authors:  N Chau; M Khlat
Journal:  Int Arch Occup Environ Health       Date:  2009-02-18       Impact factor: 3.015

2.  The prospective relationship between work stressors and cardiovascular disease, using a comprehensive work stressor measure for exposure assessment.

Authors:  Karolina Szerencsi; Ludovic van Amelsvoort; Martin Prins; Ijmert Kant
Journal:  Int Arch Occup Environ Health       Date:  2013-02-01       Impact factor: 3.015

3.  Contribution of material, occupational, and psychosocial factors in the explanation of social inequalities in health in 28 countries in Europe.

Authors:  B Aldabe; R Anderson; M Lyly-Yrjänäinen; A Parent-Thirion; G Vermeylen; C C Kelleher; I Niedhammer
Journal:  J Epidemiol Community Health       Date:  2010-06-27       Impact factor: 3.710

4.  Operationalization of community-based participatory research principles: assessment of the national cancer institute's community network programs.

Authors:  Kathryn L Braun; Tung T Nguyen; Sora Park Tanjasiri; Janis Campbell; Sue P Heiney; Heather M Brandt; Selina A Smith; Daniel S Blumenthal; Margaret Hargreaves; Kathryn Coe; Grace X Ma; Donna Kenerson; Kushal Patel; JoAnn Tsark; James R Hébert
Journal:  Am J Public Health       Date:  2011-11-28       Impact factor: 9.308

5.  Factors affecting healthy eating and physical activity behaviors among multiethnic blue- and white-collar workers: a case study of one healthcare institution.

Authors:  Jodi H Leslie; Kathryn L Braun; Rachel Novotny; Noreen Mokuau
Journal:  Hawaii J Med Public Health       Date:  2013-09

6.  The social gradient in work and health: a cross-sectional study exploring the relationship between working conditions and health inequalities.

Authors:  Oliver Hämmig; Georg F Bauer
Journal:  BMC Public Health       Date:  2013-12-13       Impact factor: 3.295

7.  Educational inequalities in acute myocardial infarction incidence in Norway: a nationwide cohort study.

Authors:  Jannicke Igland; Stein Emil Vollset; Ottar K Nygård; Gerhard Sulo; Marta Ebbing; Grethe S Tell
Journal:  PLoS One       Date:  2014-09-04       Impact factor: 3.240

8.  Contribution of income and job strain to the association between education and cardiovascular disease in 1.6 million Danish employees.

Authors:  Elisabeth Framke; Jeppe Karl Sørensen; Per Kragh Andersen; Annemette Coop Svane-Petersen; Kristina Alexanderson; Jens Peter Bonde; Kristin Farrants; Esben Meulengracht Flachs; Linda L Magnusson Hanson; Solja T Nyberg; Ebbe Villadsen; Mika Kivimäki; Reiner Rugulies; Ida E H Madsen
Journal:  Eur Heart J       Date:  2020-03-14       Impact factor: 29.983

9.  Respective Mediating Effects of Social Position and Work Environment on the Incidence of Common Cardiovascular Risk Factors.

Authors:  Nicolas Hoertel; Marina Sanchez Rico; Frédéric Limosin; Joël Ménard; Céline Ribet; Sébastien Bonenfant; Marcel Goldberg; Marie Zins; Pierre Meneton
Journal:  J Am Heart Assoc       Date:  2022-01-13       Impact factor: 6.106

Review 10.  Work characteristics, socioeconomic position and health: a systematic review of mediation and moderation effects in prospective studies.

Authors:  Hanno Hoven; Johannes Siegrist
Journal:  Occup Environ Med       Date:  2013-06-05       Impact factor: 4.402

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.