Cross-cutting edges between employment and household situation: analysis of health associations in survey data

This WP wishes to dig into relations between employment situations (employment precariousness) and living situations (social precariousness) and health outcomes. This WP is complementary to the WP's 1, 2 and 3 for several reasons. (1) The former WP’s focus on general and cause-specific mortality, this WP focuses on several aspects of self-reported health. When assessing the impact of social determinants of health, mortality may be conceived as the top of the iceberg: a lot of physical and mental morbidity does not result in immediate threats to longevity, while it may cause serious harm to people’s health. Moreover, stressful situations related to social and work-related precariousness may be related with mortality with a serious time lag, while they may have quite immediate health consequences. (2) While the former WP's are concentrated on the analysis of exhaustive census and registry data, this WP will be based on two population-wide surveys, containing more in-depth information suited for digging into explanatory mechanisms. (3) Finally, this WP is complementary with WP's 1, 2 and 3 because of its focus on the cross-cutting axes between employment precariousness and wider social precariousness. The possibility to cross-classify these different social statuses and to build more complex explanatory models is crucial in reconstructing the pathways between SE position and health inequalities and their structural determinants lying in the household and employment spheres.

The specific objectives central to WP4 are:

  • To construct a multidimensional indicator for employment precariousness, incorporating different dimensions of the employment situation and different states outside employment;
  • To investigate the health relations/effects of employment precariousness as a continuum ranging from favourable stable employment, over various degrees of de-standardised and low quality employment, to unemployment and other forms of inactivity;
  • To investigate the pathways linking employment precariousness to adverse health in working-aged respondents;
  • To investigate the health relations/consequences of multidimensional accounts of social precariousness;
  • To investigate the additive and interactive effects of precarious employment and wider social situations;
  • To assess differential vulnerability to employment and wider social precariousness according to gender and socio-economic position (e.g. educational attainment and wider material living conditions);

Methodologically the indicator construction will be done by means of Latent Class Cluster Analysis. The so constructed indicators of employment and social precariousness will be related with covariates and outcomes in simultaneous measurement models and/or the indicators of employment and social precariousness will be included in regression analyses as newly constructed variables (see section 3 on methodology).