The Children’s Emotion Management Scales (CEMS) are widely used measures of children’s emotion regulation strategies in response to three specific emotions: sadness, anger, and worry. Original factor analyses suggested a three-factor subscale structure for each emotion: inhibition, dysregulation, and coping (Zeman et al., 2001, 2002, 2010). However, this factor structure had not been reexamined since it was originally developed, including within a racially diverse psychiatric sample. The present study attempted to address this gap for the Anger Management Scale and Sadness Management Scale separately, as well as testing the overarching structure of these two in combination. Participants included 302 children (ages 8–12; 70.4% boys; 55.72% African American; 39.3% White) from inpatient and outpatient centers and their primary caregivers. The three-factor structure replicated well with the Anger Management Scale and Sadness Management Scale separately in our sample. A bifactor model that included both higher order emotion factors (i.e., Anger and Sadness) and higher order strategy factors (i.e., Coping, Dysregulation, and Inhibition) best represented the overarching structure of the CEMS. Results from latent correlations and structural regressions showed that some of these factors were related to child-reported depressive symptoms and parent-reported disruptive behaviors, supporting the validity of the bifactor model conceptualization of scores on the CEMS.

Adaptive emotion regulation (ER) reflects competence in effective emotion expression and emotion coping, both of which are critical to mitigating psychopathology risk. The current study extends past work on adolescent ER in three ways. First, using a functionalist framework, we focused on discrete emotions, examining how adolescents may differentially express and cope with sadness, anger, and worry. Second, we used a person-centered approach to determine whether subgroups of youth report different patterns of managing emotions. Third, to provide indices of validity and replicability, we characterized ER profiles in two independent community samples of adolescents and in relation to psychological adjustment (i.e., depression, anxiety, aggression), concurrently and longitudinally. Sample A comprised 202 youths (Mage = 12.90 years, 52.5% girls) participating at two time points 2 years apart. Sample B comprised 500 adolescents (Mage = 14.06 years, 60.2% girls), 99 of whom participated again 6 months later. Latent profile analyses per sample revealed similar three-profile solutions, such that adolescents were classified into the Expressive Coping (i.e., high regulation coping, low inhibition), Inhibited Coping (i.e., high regulation coping, high inhibition), or Dysregulated Anger (i.e., low anger coping, low anger inhibition) group. Youth in the Dysregulated Anger group reported elevations in depression and, in some instances, anxiety and aggression. Psychological adjustment for the other groups differed by sample. Profile membership did not predict change in symptoms over time. As such, adolescents vary in the extent to which their ER is global versus emotion-specific, in both replicable and, potentially, clinically meaningful ways.

Chronic irritability has recently been established as an affective component of pediatric disruptive behavior disorders. In this chapter, the authors review its relationship to disruptive behaviors, with a particular focus on aggression and major disruptive behavior disorders. Defined as a decreased threshold to respond to provocation with anger and temper outbursts, chronic irritability has long been considered an important feature of emotionally driven, disruptive behavior. Recent investigations into irritability suggest that it has important prognostic value for disruptive youth. Furthermore, investigations of disruptive behaviors have informed work on irritability, yielding promising leads for understanding its pathophysiology and treatment.