The relations between family support, family conflict, and adolescent depressive symptomatology were examined longitudinally in a sample of 231 female and 189 male adolescents and their mothers. Structural equation models revealed that less supportive and more conflictual family environments were associated with greater depressive symptomatology both concurrently and prospectively over a 1-year period. Conversely, adolescent depressive symptomatology did not predict deterioration in family relationships. Depressive symptomatology and, to a greater extent, family characteristics showed high levels of stability over the 1-year period. Counter to our expectations, the relations between family variable and depressive symptomatology were similar for boys and girls. The results suggest that the quality of family interactions is relevant for understanding the development of depressive symptoms in adolescents.
The purpose of this study was to examine child response patterns to parental conflict and assess their contribution to child functioning. The focus was on 3 potential child responses and their relation to later depressive and aggressive behavior. Direct observations and questionnaire data were collected on 156 2-parent families. Aggressive behavior showed the strongest sequential relation to interparental conflict and the strongest predictive relation to increased aggressive functioning. Gender differences were found in the use of child aggressive response patterns. Results for the relation between child responses and increases in depressive functioning were weaker than those found for aggressive functioning. The results provide support for the examination of child response patterns as a potentially rich area of exploration for understanding the family mechanisms affecting both aggressive and depressive functioning in children.Marital conflict is associated with problematic functioning in children (Cummings & Davies, 1994). This association is most striking in the context of child externalizing problems but has been demonstrated to a lesser degree with internalizing problems as well (Grych & Fincham, 1990;Kerig, 1995;Shaw & Emery, 1987). However, as not all children from high conflict homes develop problems, it is important to focus on the prodesses that may lead to the presence or absence of child difficulties (Emery, 1988;Cummings & Davies, 1994). Cummings and Davies (1994)'have suggested that how conflict is handled within the family may account for differential child outcomes; this issue has been receiving increasing attention of late with several studies and reviews examining
This article demonstrates the use of a general model for latent variable growth analysis which takes into account cluster sampling. Multilevel Latent Growth Modeling (MLGR4) was used to analyze longitudinal and multilevel data for adolescent and parent substance use measured at four annual time points. An associative LGM model was tested for alcohol, marijuana, and cigarette use with a sample of 435 families. Hypotheses concerning the shape of the growth curve and the extent of individual differences in the common trajectory over time were tested. The effects of marital and family status and socio-economic status on family levels of substance use were also examined. Findings are discussed in terms of family-level substance use and similarities in developmental trajectories across substances, and the impact of contextual factors on family levels of substance use and development.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.