The contribution of major risk factors and job strain to occupational class differences in coronary heart disease incidence: the MONICA Brianza and PAMELA population-based cohorts.

Objectives We investigated the contribution of major coronary heart disease (CHD) risk factors and job strain to occupational class differences in CHD incidence in a pooled-cohort prospective study in northern Italy. Methods 2964 men aged 25-74 from four northern Italian population-based cohorts wer...

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Publicado en:Occupational & Environmental Medicine Vol. 68; no. 10; pp. 717 - 723
Autores principales: Ferrario MM, Veronesi G, Chambless LE, Sega R, Fornari C, Bonzini M, Cesana G
Formato: research Journal Article
Publicado: BMJ Publishing Group Oct2011
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2011
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      pub: BMJ Publishing Group
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        2011273219
        10.1136/oem.2010.060822
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        104686663
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        atl: The contribution of major risk factors and job strain to occupational class differences in coronary heart disease incidence: the MONICA Brianza and PAMELA population-based cohorts.
      aug:
        au:
          Ferrario MM
          Veronesi G
          Chambless LE
          Sega R
          Fornari C
          Bonzini M
          Cesana G
      sug:
        subj:
          Coronary Disease Epidemiology
          Occupational Diseases Epidemiology
          Social Class
          Adult
          Aged
          Prospective Studies
          Incidence
          Italy
          Male
          Middle Age
          Occupations and Professions
          Risk Factors
          Work
          Adult: 19-44 years
          Aged: 65+ years
          Middle Aged: 45-64 years
          Male
      ab: Objectives We investigated the contribution of major coronary heart disease (CHD) risk factors and job strain to occupational class differences in CHD incidence in a pooled-cohort prospective study in northern Italy. Methods 2964 men aged 25-74 from four northern Italian population-based cohorts were investigated at baseline and followed for first fatal or non-fatal CHD event (171 events). Standardised procedures were used for baseline risk factor measurements, follow-up and validation of CHD events. Four occupational classes were derived from the Erikson-Goldthorpe-Portocarero social class scheme: higher and lower professionals and administrators, non-manual workers, skilled and unskilled manual workers, and the self-employed. HRs were estimated with Cox models. Results Among CHD-free subjects, with non-manual workers as the reference group, age-adjusted excess risks were found for professionals and administrators (+84%, p=0.02), the self-employed (+72%, p=0.04) and manual workers (+63%, p=0.04). The relationship was consistent across different CHD diagnostic categories. Adjusting for major risk factors only slightly reduced the reported excess risks. In a sub-sample of currently employed subjects, adjusting for major risk factors, sport physical activity and job strain reduced the excess risk for manual workers (relative change = -71.4%) but did not substantially modify the excess risks of professionals and administrators and the self-employed. Conclusions In our study, we found higher CHD incidence rates for manual workers, professionals and administrators, and the self-employed, compared to non-manual workers. When the entire spectrum of job categories is considered, the job strain model helped explain the CHD excess risk for manual workers but not for other occupational classes.
      pubtype: Academic Journal
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        research
        Journal Article
      ougenre: Article
    language: English
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