Adolescent Emotion Network Dynamics in Daily Life and Implications for Depression
Objective. Emotion network density describes the degree of interdependence amongemotion states across time, such that higher density reflects self-perpetuating emotions orrigidity in emotion functioning. Higher density in emotion networks appears to be a riskfactor for depression in studies of adults. This paper extended research on emotionnetwork density to adolescents and examined: 1) associations between emotion networkdensity and a standard measure of emotion regulation and 2) associations betweenemotion network density and symptoms of depression. Method. Data from a daily diarystudy (t=21 days) of adolescents (N=151; 61.59% female; mean age=14.60 years) wereused to construct emotion network density scores. Emotion regulation was measuredusing The Difficulties in Emotion Regulation Scale Short Form (DERS-SF). Associationsbetween emotion network density and DERS-SF were examined through Pearsoncorrelations. Multiple regression analyses examined associations between emotionnetwork density and depression. Results. Emotion network density was not associatedwith the DERS-SF. Follow-up analyses showed that it was associated with nonacceptanceof emotions (a subscale of the DERS-SF). Emotion network density waspositively associated with depression. Discussion. Non-acceptance of emotions mayencourage the spread of emotion across time and emotion states given that a feature ofnon-acceptance is to have secondary emotional responses to one's emotions. Rigidity inemotion function in the form of context-insensitive, self-perpetuating emotion networksmay be a risk factor for adolescent depression.