This paper investigates the joint effects of academic self-efficacy and stress on the academic performance of 107 nontraditional, largely immigrant and minority, college freshmen at a large urban commuter institution. We developed a survey instrument to measure the level of academic self-efficacy and perceived stress associated with 27 college-related tasks. Both scales have high reliability, and they are moderately negatively correlated. We estimated structural equation models to assess the relative importance of stress and self-efficacy in predicting three academic performance outcomes: first-year college GPA, the number of accumulated credits, and college retention after the first year. The results suggest that academic self-efficacy is a more robust and consistent predictor than stress of academic success.

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Disability, social support, and depressive symptoms are strongly interrelated processes in later life. Our results are consistent with previous research in showing that perceived, rather than received, support mediates the relationship between disability and depressive symptoms, but our results extend previous research in showing that this mediation occurs across time.

Recent medical sociological research has examined whether the relationship between education and health is dynamic across age, whereas recent demographic research has examined whether the relationship varies across cohorts. In this study, I examine how cohort structures the influence of education on life-course health trajectories. At the cohort level, changes in education and in the distribution of health and mortality make cohort differences in education's effect probable. At the life-course level, the effect of education may vary across age because the mediators of the education-health relationship may vary in their relevance to health across the life course. Using basic regression analyses and random-effects models of two national data sets, I find that the effect of education strengthens across age, that this pattern is becoming stronger across cohorts, and that these patterns are suppressed when either effect is ignored.

We summarize prior theories on the adaptation process of the contemporary immigrant second generation as a prelude to presenting additive and interactive models showing the impact of family variables, school contexts and academic outcomes on the process. For this purpose, we regress indicators of educational and occupational achievement in early adulthood on predictors measured three and six years earlier. The Children of Immigrants Longitudinal Study (CILS), used for the analysis, allows us to establish a clear temporal order among exogenous predictors and the two dependent variables. We also construct a Downward Assimilation Index (DAI), based on six indicators and regress it on the same set of predictors. Results confirm a pattern of segmented assimilation in the second generation, with a significant proportion of the sample experiencing downward assimilation. Predictors of the latter are the obverse of those of educational and occupational achievement. Significant interaction effects emerge between these predictors and early school contexts, defined by different class and racial compositions. Implications of these results for theory and policy are examined.

This paper examines the consequences of China’s dramatic socioeconomic and political transformations for individual subjective well-being (SWB) from 1990 to 2007. Although many still consider China to be a collectivist country, and some scholars have argued that collectivist factors would be important predictors of individual well-being in such a context, our analysis demonstrates that the Chinese are increasingly prioritizing individualist factors in assessments of their own happiness and life satisfaction thus substantiating descriptions of their society as increasingly individualistic. While the vast majority of quality of life studies have focused on Westerners, this study contributes findings from the unique cultural context of China. Moreover, concentration on this particular period in Chinese history offers insight into the relationship between SWB and rapid socioeconomic and political change.

The existence, nature, and strength of race diferences in mental health remain unclear after several decades of research. In this research, we examine blackwhite differences in the relationship between acute stressors and depressive symptoms. We reframe the stress exposure and differential vulnerability hypotheses in the context of long-term trajectories of stress and depression, and we hypothesize that trajectories of stress growth will be associated with trajectories of depressive symptom growth. Using latent growth curve analysis of a sample of 1,972 older persons interviewed three times at three-year intervals, we test the hypotheses that (1) growth in exposure to loss-related events will predict growth in depressive symptoms, and (2) African Americans will experience greater stress growth than whites. Results support the hypotheses. Stress growth exhibited a linear increase for blacks but not for whites, and predicted depression growth for both races, but explained more variance for blacks than for whites. A substantial body of research addresses status differences in mental health and explanations for those differences. The primary social statuses examined to date include socioeconomic status, race, gender, age, and marital status. Differing levels of stress exposure and differential vulnerability to stress have been the major explanations offered to account for status differences in mental health. This paper has two primary purposes: (1) to examine the extent to which stress exposure and vulnerability account for differences in depressive symptoms between older African Americans and whites, as well as the extent to which they explain within-group variability; and (2) to reconceptualize the concepts of stress exposure and stress vulnerability in a prospective, dynamic fashion.

Most studies investigating Black-White differences in mortality patterns have focused exclusively on the well-known crossover but have ignored other aspects of the mortality curves, such as deceleration and compression. Yet compression and deceleration are also important features of mortality curves that may vary by race. In this research, the authors developed models for data from 1972 to 1990 and estimated them using naive and more stringent assumptions about Black data quality. They found that mortality deceleration begins at older ages for Blacks than for Whites but that the ages of deceleration onset are converging. The authors also found that mortality compression is occurring for Blacks but not for Whites and that compression is more apparent for Blacks when data quality is considered. Finally, the authors found that a crossover exists, that the age at crossover is increasing across time, and that the age at crossover is later in adjusted data than in unadjusted data.