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This study examined longitudinal pathways through three domains of adaptation from ages 4-5 to 14-15 (internalizing problems, externalizing problems, and academic competence) towards depressive symptoms at age 16-17. Participants were 6425 Canadian children followed bi-annually as part of the National Longitudinal Study of Children and Youth. Within-domain (i.e., stability) effects were moderate in strength. We found longitudinal cross-domain effects across one time point (i.e., one-lag cascades) between internalizing and externalizing in early childhood (positive associations), and between academic competence and externalizing in later childhood and adolescence (negative associations). We also found cascade effects over multiple time points (i.e., multi-lag cascades); lower academic competence at age 4-5 and greater internalizing at age 6-7 predicted greater age 12-13 externalizing, and greater age 6-7 externalizing predicted greater age 16-17 depression. Important pathways towards adolescent depression include a stability path through childhood and adolescent internalizing, as well as a number of potential paths involving all domains of adaptation, highlighting the multifactorial nature of adolescent depression. [ABSTRACT FROM AUTHOR]

The study of mediation has a long tradition in the social sciences and a relatively more recent one in epidemiology. The first school is linked to path analysis and structural equation models (SEMs), while the second is related mostly to methods developed within the potential outcomes approach to causal inference. By giving model-free definitions of direct and indirect effects and clear assumptions for their identification, the latter school has formalized notions intuitively developed in the former and has greatly increased the flexibility of the models involved. However, through its predominant focus on nonparametric identification, the causal inference approach to effect decomposition via natural effects is limited to settings that exclude intermediate confounders. Such confounders are naturally dealt with (albeit with the caveats of informality and modeling inflexibility) in the SEM framework. Therefore, it seems pertinent to revisit SEMs with intermediate confounders, armed with the formal definitions and (parametric) identification assumptions from causal inference. Here we investigate: 1) how identification assumptions affect the specification of SEMs, 2) whether the more restrictive SEM assumptions can be relaxed, and 3) whether existing sensitivity analyses can be extended to this setting. Data from the Avon Longitudinal Study of Parents and Children (1990–2005) are used for illustration. [ABSTRACT FROM PUBLISHER]