Methods: The data for this study come from the National Longitudinal Study on Adolescent Health (Add health). Add Health is a nationally representative, school-based study with a sample of more than 20,000 adolescents in Grades 7 to 12. The current study used a subsample of Chinese and Filipino American youth who completed interviews during adolescence, six years after that (early young adulthood), and again six years after that (young adulthood). A total of 173 Chinese males, 149 Chinese females, 336 Filipino males, and 315 Filipino females were analyzed. Constructs were measured by: 1) a short version of 9-item CES-D scale for depressive symptoms; and 2) three items on students’ general feelings of school connectedness. The study used Multi-Group Structural Equation Modeling (MGSEM) for data analysis.
Results: A good model fit for the global fit indices for the proposed model among Asian American youth was observed (χ2(8)=6.115, p>0.05; RMSEA <0.001; CFI=1.000; SRMR= 0.009; P-value for the test of close fit=0.893) and the focused fit indices were good. The magnitude of effects was compared across four Asian American subgroups: (1) Chinese males. (2) Chinese females, (3) Filipino males, and (4) Filipino females. There were four statistically significant path coefficient differences among Asian American subgroups: the paths linking adolescent depression to early young adulthood depression between Chinese males and Filipino males (path coefficients= 0.419 and 0.163, respectively) and between Chinese males and Filipino females (path coefficients= 0.419 and 0.166, respectively), the path linking perceived school connectedness to adolescent depression between Chinese females and Filipino makes (path coefficients= -0.232 and -0.080, respectively), and the path linking adolescent depression to young adulthood depression between Chinese females and Filipino females (path coefficients= 0.034 and 0.295, respectively).
Implications: Findings of this study suggest that perceived school connectedness during adolescence can be influential on depressive symptoms across time and these effects can vary as a function of Asian ethnicity and gender. The results emphasize the importance of Asian American mental health disparities by Asian ethnicity and gender for social work practice and policy.