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Effects of Attachment Representations, Rumination, and Trait Depression on Co-Rumination in Friendships: A Dyadic Analysis

Published online by Cambridge University Press:  16 December 2014

Jennifer K. Homa*
Affiliation:
University of Wisconsin Oshkosh, Oshkosh, Wisconsin, USA
Chong Man Chow
Affiliation:
Eastern Michigan University, Ypsilanti, Michigan, USA
*
ADDRESS FOR CORRESPONDENCE: Jennifer K. Homa, M.S., Psychology Department, University of Wisconsin Oshkosh, 800 Algoma Blvd., Oshkosh, WI 54901. Email: jkhoma@gmail.com

Abstract

The current study addressed whether attachment, rumination, and trait depression were predictive of co-rumination in dyadic friendships. The final sample consisted of 205 pairs of same-sex friends (Mage = 18.93 years, SD = 1.31) and 135 (66%) of the dyads were female. Results revealed that an individual's attachment avoidance was significantly related to their own (actor effect) and their friend's (partner effect) co-rumination. Gender moderated the (1) effect of attachment avoidance on co-rumination at the actor and partner levels and (2) effect of attachment anxiety on co-rumination at the partner level. Furthermore, an interaction emerged between friendship duration and trait depression on co-rumination at the actor level. Considering the adjustment trade-offs of co-rumination (e.g., closer friendship quality accompanied with greater levels of depression and anxiety), it is important to understand the predictors of co-rumination and the consequences of it in order to effectively apply intervention efforts.

Information

Type
Research Article
Copyright
Copyright © The Author(s) 2014 
Figure 0

FIGURE 1 A simplified conceptual representation of the Actor-Partner Interdependence Model (APIM) for attachment, rumination, and trait depression as predictors of co-rumination in friend dyads. In order to reduce redundancy, each arrow represents all of the possible pathways between the variables. In this model, the co-rumination scores provided by the two friends are allowed to covary. Also, all predictors are allowed to covary. Because the model is based on restructured dyadic data, the actor and partner effects would be identical across friends. For example, the link between Friend A's attachment and co-rumination would be identical to Friend B's attachment and co-rumination.

Figure 1

TABLE 1 Means, Standard Deviations, and Correlations Among Study Variables

Figure 2

TABLE 2 Regression Coefficients of the APIM From the Multilevel Model

Figure 3

FIGURE 2 Interaction between gender and partner's attachment anxiety on dyadic co-rumination levels. (Simple slopes: females b = −.01, p = .82; males b = .18, p = .02.)

Figure 4

FIGURE 3 Interaction between gender and actor's attachment avoidance on dyadic co-rumination levels. (Simple slopes: females b = −.02, p = .70; males b = −.28, p < .001.)

Figure 5

FIGURE 4 Interaction between gender and partner's attachment avoidance on dyadic co-rumination levels. (Simple slopes: females b = .05, p = .31; males b = −.24, p = .002.)

Figure 6

FIGURE 5 Interaction between actor's trait depression score and friendship duration on dyadic co-rumination levels. (Simple slopes: low actor depression b = −.02, p = .80; high actor depression b = .22, p = .007.)