Stress at work and psychological and immunological parameters in a group of Norwegian female bank employees

This study concerned the immunological correlates of stress and work. Self reported stress, emotional state, ego-strength, and defensiveness were examined in relation to measures of cellular immunity (T-cell response to Con A and number of T4 and T8 cells) and humoral immunity (concentrations of immunoglobulins and complement components in plasma) in a group of 96 Norwegian female bank employees. The analyses showed that workload, the stress factor with the highest group mean, was associated with number of T-cells, while strain due to body posture during work was related to concentrations of IgM and C3. Further, depression was significantly correlated with IgM concentration and T-cell number, and anxiety with C3 concentration. T-cell activity was the immunological parameter most consistently associated with psychological well-being, showing positive correlations with defensiveness and ego-strength and negative correlations with anxiety and depression. In conclusion, T-cell number and concentrations of IgM and C3 were sensitive to both work-related stress experience and emotional distress. Coping abilities, indicated by the MMPI Ego-strength scale and emotional distress, were reflected in T-cell activity; insufficient coping was associated with low T-cell activity.     

African American Children's Adjustment: The Roles of Maternal and Teacher Depressive Symptoms

This study examined the unique and interactive roles of mother and teacher depressive symptoms in child adjustment in 277 African American single mother‐headed families, as well as whether the associations differed depending on the age and gender of the child. Findings revealed a significant association between maternal depressive symptoms and child depressive symptoms in girls, but not boys. Moreover, the combination of higher levels of both mother and teacher depressive symptoms was associated with the highest level of child depressive symptoms and, for younger children, externalizing symptoms. The importance of considering the multiple social contexts in which children interact is discussed.     

SOCIOECONOMIC STATUS, JOB CONDITIONS, AND WELL-BEING: Self-Concept Explanations for Gender-Contingent Effects

Using data from a representative sample of adults age eighteen to fifty‐five who reside in Toronto, Canada, and are employed in the paid labor force, this study asks: Are the health benefits of education, income, job autonomy, and nonroutinized work different for women and men? If so, do mastery and self‐esteem contribute to those differences? Results show that women and men derive different personal benefits from socioeconomic status and job qualities: (1) education, job autonomy, and nonroutinized work are associated more positively with the sense of mastery among women, (2) job autonomy is associated more positively with self‐esteem among women, (3) education, job autonomy, and nonroutinized work are associated more negatively with depressive symptoms among women, and (4) job autonomy and nonroutinized work are associated more positively with global health among women. Moreover, the patterns in (1) and (2) explain the gender‐contingent effects in (3) and (4). In addition, unexpected suppression effects reveal that, among men, education is associated negatively with mastery and self‐esteem—but only after adjustment for job conditions. I interpret the findings in the context of the disadvantaged status thesis and speculate about status‐related social comparison processes.     

Review Essay: What Is Left of the Left?

Sociological Forum -     

A Comparison of Partially Adaptive and Reweighted Least Squares Estimation

The small sample performance of least median of squares, reweighted least squares, least squares, least absolute deviations, and three partially adaptive estimators are compared using Monte Carlo simulations. Two data problems are addressed in the paper: (1) data generated from non-normal error distributions and (2) contaminated data. Breakdown plots are used to investigate the sensitivity of partially adaptive estimators to data contamination relative to RLS. One partially adaptive estimator performs especially well when the errors are skewed, while another partially adaptive estimator and RLS perform particularly well when the errors are extremely leptokur-totic. In comparison with RLS, partially adaptive estimators are only moderately effective in resisting data contamination; however, they outperform least squares and least absolute deviation estimators.