This study explores the differential effects of sexism, racism, and ageism in the workplace on mental health and job satisfaction. Using data from the General Social Survey (2002–2022; N=9,227), the study examines the effects of these forms of discrimination while controlling for key demographic variables such as age, race, sex, education, and income. The findings indicate that sexism and ageism are the strongest predictors of poor mental health, with individuals experiencing these forms of discrimination reporting higher levels of stress, anxiety, and depression. In contrast, sexism and racism are most strongly associated with lower job satisfaction, with employees facing these biases reporting diminished workplace commitment and motivation. Structural Equation Modeling (SEM) confirms that workplace discrimination significantly affects both mental health and job satisfaction, with ageism emerging as the most prominent predictor of mental health distress. The study also highlights how intersecting identities, such as race and gender, compound the negative effects of discrimination, particularly for marginalized groups. These findings underscore the need for workplace policies that address both individual and compounded biases, suggesting that organizational interventions should focus on promoting inclusivity, supporting mental health, and improving job satisfaction for employees facing multiple forms of discrimination.
