Employment precariousness is a social determinant that affects the health of workers, families, and communities. Its recent popularity has been spearheaded by three main developments: the surge in "flexible employment" and its associated erosion of workers' employment and working conditions since the mid-1970s; the growing interest in social determinants of health, including employment conditions; and the availability of new data and information systems. This article identifies the historical, economic, and political factors that link precarious employment to health and health equity; reviews concepts, models, instruments, and findings on precarious employment and health inequalities; summarizes the strengths and weaknesses of this literature; and highlights substantive and methodological challenges that need to be addressed. We identify two crucial future aims: to provide a compelling research program that expands our understanding of employment precariousness and to develop and evaluate policy programs that effectively put an end to its health-related impacts.
Background. Evidence on the health-damaging effects of precarious employment is limited by the use of one-dimensional approaches focused on employment instability. This study assesses the association between precarious employment and poor mental health using the multidimensional Employment Precariousness Scale. Methods. Cross-sectional study of 5679 temporary and permanent workers from the population-based Psychosocial Factors Survey was carried out in 2004-2005 in Spain. Poor mental health was defined as SF-36 mental health scores below the 25th percentile of the Spanish reference for each respondent's sex and age. Prevalence proportion ratios (PPRs) of poor mental health across quintiles of employment precariousness (reference: 1st quintile) were calculated with log-binomial regressions, separately for women and men. Results. Crude PPRs showed a gradient association with poor mental health and remained generally unchanged after adjustments for age, immigrant status, socioeconomic position, and previous unemployment. Fully adjusted PPRs for the 5th quintile were 2.54 (95% CI: 1.95–3.31) for women and 2.23 (95% CI: 1.86–2.68) for men. Conclusion. The study finds a gradient association between employment precariousness and poor mental health, which was somewhat stronger among women, suggesting an interaction with gender-related power asymmetries. Further research is needed to strengthen the epidemiological evidence base and to inform labour market policy-making.
As a consequence of labor market flexibilization, nonstandard employment has expanded and standard employment has declined. In many cases, these transformations are best described as an evolution toward precarious employment, which is considered a major determinant of health and health inequalities. Using the Employment Precariousness Scale (EPRES), this study aims to determine the prevalence of precarious employment in the waged and salaried workforce in Spain, to describe its distribution across social groups defined by occupational class, gender, age, and immigrant status, and to estimate the proportion of cases of poor mental health potentially attributable to employment precariousness. Data are from the Psychosocial Work Environment Survey conducted in 2004-5 on a representative sample of the Spanish workforce. Findings indicate a high prevalence of employment precariousness, affecting nearly 6.5 million workers, with almost 900,000 of them exposed to high precariousness. These estimates are higher than the proportion of fixed-term employment reported in regular statistical sources but may today be an underestimation, given the current economic crisis. Additionally, a significant proportion of cases of poor mental health are potentially attributable to employment precariousness. Both the proportion of cases of poor mental health attributable to and the prevalence of employment precariousness were highly unequally distributed across the study sample, indicating that this may be a significant contributor to social inequalities in mental health.
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