Life-course trajectories of employment quality and health in the U.S.: A multichannel sequence analysis

Abstract

The organization of employment in the U.S. has changed dramatically since the 1970s, causing decreased power and security for workers across many dimensions of the employment relationship. Multidimensional employment-quality (EQ) measures can be used to capture these changes and test their association with health. However, most public-health EQ studies have used cross-sectional, unidimensional data. We addressed these limitations using a longitudinal, multidimensional EQ measure and data on 2779 1985-2017 Panel Study of Income Dynamics respondents. First, using a multichannel sequence-analysis approach, we identified gender-specific clusters of mid-career (ages 29-50) EQ trajectories based on respondents' employment stability, material rewards, working-time arrangements, collective organization, and power relations. Next, we examined cross-cluster variation in respondent characteristics. Finally, we estimated the gender-specific associations between cluster-membership and post-sequence-analysis-period prevalence of poor/fair self-rated health (SRH) and moderate mental illness (Kessler-K6≥5). We identified five clusters among women and seven among men. Respondents in poor-EQ clusters were disproportionately people of color and less-educated; they also tended to report worse health. For example, among women, the prevalence of poor/fair SRH and moderate mental illness was lowest among standard-employment-relationship-like-non-union workers and the becoming self-employed, and greatest among minimally-attached, returning-to-the-labor-force, and precariously-employed workers. Meanwhile, among men, the prevalence of the outcomes was lowest among stably-high-wage workers and the wealthy self-employed, and greatest among exiting-the-labor-force and precariously-employed workers. Given the potential role of EQ in health inequities, researchers and practitioners should consider EQ in their work.

Keywords: Employment quality; Health disparities; Health inequities; Precarious employment; Precariousness; Sequence analysis; United States; Work quality.