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Objective: In a randomized clinical trial with 111 families of parents with a history of major depressive disorder (86% mothers, 14% fathers; 86% Caucasian, 5% African-American, 3% Hispanic, 1% American Indian or Alaska Native, 4% mixed ethnicity), changes in adolescents' (mean age = 11 years; 42% female, 58% male) coping and parents' parenting skills were examined as mediators of the effects of a family group cognitive--behavioral preventive intervention on adolescents' internalizing and externalizing symptoms. Method: Changes in hypothesized mediators were assessed at 6 months, and changes in adolescents' symptoms were measured at a 12-month follow-up. Results: Significant differences favoring the family intervention compared with a written information comparison condition were found for changes in composite measures of parent--adolescent reports of adolescents' use of secondary control coping skills and direct observations of parents' positive parenting skills. Changes in adolescents' secondary control coping and positive parenting mediated the effects of the intervention on depressive, internalizing, and externalizing symptoms, accounting for approximately half of the effect of the intervention on the outcomes. Further. reciprocal relations between children's internalizing symptoms and parenting were found from baseline to 6-month follow-up. Conclusion: The present study provides the first evidence for specific mediators of a family group cognitive--behavioral preventive intervention for families of parents with a history of major depressive disorder. The identification of both coping and parenting as mediators of children's mental health outcomes suggests that these variables are important active ingredients in the prevention of mental health problems in children of depressed parents. Keywords: prevention, parental depression, mediation, coping, parenting, family DOI: 10.1037/a0020459

Study designs involving clustering in some study arms, but not all study arms, are common in clinical treatment-outcome and educational settings. For instance, in a treatment arm, persons may be nested in therapy groups, whereas in a control arm there are no groups. Methodological approaches for handling such partially nested designs have recently been developed in a multilevel modeling framework (MLM-PN) and have proved very useful. We introduce two alternative structural equation modeling (SEM) approaches for analyzing partially nested data: a multivariate single-level SEM (SSEM-PN) and a multiple-arm multilevel SEM (MSEM-PN). We show how SSEM-PN and MSEM-PN can produce results equivalent to existing MLM-PNs and can be extended to flexibly accommodate several modeling features that are difficult or impossible to handle in MLM-PNs. For instance, using an SSEM-PN or MSEM-PN, it is possible to specify complex structural models involving cluster-level outcomes, obtain absolute model fit, decompose person-level predictor effects in the treatment arm using latent cluster means, and include traditional factors as predictors/outcomes. Importantly, implementation of such features for partially nested designs differs from that for fully nested designs. An empirical example involving a partially nested depression intervention combines several of these features in an analysis of interest for treatment-outcome studies. [ABSTRACT FROM AUTHOR]