Literature DB >> 8235734

Social class gradients in years of potential life lost in Switzerland.

V Beer1, B Bisig, F Gutzwiller.   

Abstract

Analysis of the official Swiss mortality data have shown considerable social differences. In an earlier study of Swiss men aged 15-74 for the period 1979-1982 the social class mortality differentials have been analysed using standardized mortality ratios (SMR). The present study extends this previous work by calculating years of potential life lost (YPLL) before age 75, an additional indicator of mortality that puts more importance on deaths at younger ages. Emphasis is given on causes contributing to most years of life lost, especially to accidents and violent deaths, which result in more than 30% of total years of life lost. The distribution of years of life lost of the most important causes to social classes is illustrated also for age-specific groups. Additionally, this article presents all causes which account for more than 3% of total years of life lost. The social inequalities are shown as ratios between the social class with the highest (skilled manual workers) and the lowest risk (professionals). Most years of life are lost by skilled manual workers not only in general but also cause-specific. While the SMR from all causes of death showed a 2-fold difference between professionals and skilled manual workers, the social gradient in YPLL rate was even larger (2.5). Hence, the measure of years of potential life lost emphasizes the disadvantage of skilled manual workers to die earlier than professionals. The concept of YPLL proved to be a useful additional indicator not only of mortality in general, but also especially for monitoring causes, related to the lower social classes.

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Year:  1993        PMID: 8235734     DOI: 10.1016/0277-9536(93)90436-8

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


  6 in total

1.  [Occupational status and prevalence of cardiovascular risk indicators in employed men in German-speaking Switzerland].

Authors:  I Foppa; R Calmonte; H Noack; T Abelin
Journal:  Soz Praventivmed       Date:  1996

2.  Social prognostic factors of mortality in a random cohort of Geneva subjects followed up for a period of 12 years.

Authors:  M Gognalons-Nicolet; F Derriennic; C Monfort; B Cassou
Journal:  J Epidemiol Community Health       Date:  1999-03       Impact factor: 3.710

3.  Residential area deprivation predicts smoking habit independently of individual educational level and occupational social class. A cross sectional study in the Norfolk cohort of the European Investigation into Cancer (EPIC-Norfolk).

Authors:  S Shohaimi; R Luben; N Wareham; N Day; S Bingham; A Welch; S Oakes; K-T Khaw
Journal:  J Epidemiol Community Health       Date:  2003-04       Impact factor: 3.710

4.  Strong regional links between socio-economic background factors and disability and mortality in Oslo, Norway.

Authors:  M A Rognerud; O Krüger; F Gjertsen; D S Thelle
Journal:  Eur J Epidemiol       Date:  1998-07       Impact factor: 8.082

5.  Motor vehicle driver injury and socioeconomic status: a cohort study with prospective and retrospective driver injuries.

Authors:  G Whitlock; R Norton; T Clark; M Pledger; R Jackson; S MacMahon
Journal:  J Epidemiol Community Health       Date:  2003-07       Impact factor: 3.710

6.  Geographic footprints of life expectancy inequalities in the state of Geneva, Switzerland.

Authors:  Anaïs Ladoy; Juan R Vallarta-Robledo; Idris Guessous; Stéphane Joost; David De Ridder; José Luis Sandoval; Silvia Stringhini; Henrique Da Costa
Journal:  Sci Rep       Date:  2021-12-02       Impact factor: 4.379

  6 in total

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