TY - JOUR
T1 - The associations between patterns of precarious employment and workers’ health
AU - Cho, Youngmin
N1 - Publisher Copyright:
© 2020 Western Social Science Association.
PY - 2023
Y1 - 2023
N2 - Although the prevalence of precarious employment has been on the rise due to structural changes in the global labor market, there is still lack of a clear understanding of whether precarious employment is a social determinant of health. Data from the 2006–2010–2014 General Social Survey (N = 5,411) were used to examine the relationships between patterns of precarious employment and perceived health among U.S. workers. Based on a multidimensional construct of precarious employment, latent class analysis identified four differential patterns of precarious employment experienced by workers: (1) the most precarious group, (2) low precarious with middle income group, (3) low precarious with high income group, and (4) mixed precarious group. I then conducted a multinomial logistic regression and found that socio-demographic characteristics, such as gender, race/ethnicity, and education, were significantly associated with precarious employment class membership. Finally, a logistic regression analysis showed that there were significant differences in perceived health status across precarious employment classes, controlling for individual background characteristics. Study findings highlight the heterogeneity and various patterns of precarious employment experiences and indicate a need for the use of a multidimensional construct of employment precariousness in determining its health impact on the working population.
AB - Although the prevalence of precarious employment has been on the rise due to structural changes in the global labor market, there is still lack of a clear understanding of whether precarious employment is a social determinant of health. Data from the 2006–2010–2014 General Social Survey (N = 5,411) were used to examine the relationships between patterns of precarious employment and perceived health among U.S. workers. Based on a multidimensional construct of precarious employment, latent class analysis identified four differential patterns of precarious employment experienced by workers: (1) the most precarious group, (2) low precarious with middle income group, (3) low precarious with high income group, and (4) mixed precarious group. I then conducted a multinomial logistic regression and found that socio-demographic characteristics, such as gender, race/ethnicity, and education, were significantly associated with precarious employment class membership. Finally, a logistic regression analysis showed that there were significant differences in perceived health status across precarious employment classes, controlling for individual background characteristics. Study findings highlight the heterogeneity and various patterns of precarious employment experiences and indicate a need for the use of a multidimensional construct of employment precariousness in determining its health impact on the working population.
KW - Analysis
KW - General social survey
KW - Latent class
KW - Precarious employment
KW - Self-rated health
UR - http://www.scopus.com/inward/record.url?scp=85161739673&partnerID=8YFLogxK
U2 - 10.1016/j.soscij.2019.09.006
DO - 10.1016/j.soscij.2019.09.006
M3 - Article
AN - SCOPUS:85161739673
SN - 0362-3319
VL - 60
SP - 199
EP - 212
JO - Social Science Journal
JF - Social Science Journal
IS - 2
ER -