Cognitive Behaviour Therapy for Children and Adolescents: Can Attachment Theory Contribute to Its Efficacy?

Meta-analyses consistently demonstrate that cognitive behaviour therapy (CBT) provides effective evidence-based treatment for children and adolescents with emotional and behaviour problems. Also consistent across meta-analyses is the observation that CBT treatment effects are often medium in size. This observation has instigated a search for factors that could help explain the limited treatment effects and that could be focused upon to enhance CBT treatment outcomes. The current qualitative review focuses on the parent–child attachment relationship as one factor that could be relevant to enhance CBT treatment effects. This review first acknowledges reasons why CBT has historically not been attracted to attachment theory and its postulates. Second, recent evidence is examined to evaluate whether attachment can be approached from a cognitive schema perspective. Subsequently, research is described showing how restoring attachment relationships could result in large treatment effects. Finally, this evidence is integrated in a model of attachment assessment and intervention that might be compatible with CBT. In sum, this review suggests that restoring trust in insecure parent–child attachment relationships can be integrated within CBT and could contribute to its treatment outcomes.     

Cognitive Behavioral Training Using a Mobile Application Reduces Body Image-Related Symptoms in High-Risk Female University Students: A Randomized Controlled Study

Body dissatisfaction is prevalent in young women, and is associated with symptoms of body dysmorphic disorder (BDD) and eating disorders (EDs). The aim of the study was to assess the efficacy of a mobile application, based on cognitive behavioral principles, in reducing body dissatisfaction and BDD/ED symptoms in female university students considered at high-risk of developing body image disorders (BIDs). Fifty university students at high-risk of developing BIDs (using self-report questionnaires assessing BIDs and the Structured Clinical Interview for DSM-5 Clinical Version) were randomized in two groups: immediate-use App group (iApp group; n = 25) and delayed-use App group (dApp group; n = 25). The iApp group started using the app at baseline for 16 days (T0 to T1). The dApp group waited for 16 days before starting to use the app (T1 to T2). Participants completed questionnaires at baseline (T0), 16 days from baseline (T1), and 32 days from baseline (T2). Repeated measure Analyses of Variance (ANOVAs) showed a Group (iApp vs. dApp) × Time (T0 vs. T1) interaction on BDD symptoms indicating medium effect size (partial eta squared) reductions in the iApp group compared to dApp group at T1; post-intervention means for BDD symptoms were under the cut-off for extreme body dissatisfaction/BDD symptoms in both groups. Pertaining to ED symptoms, no significant Group × Time interaction was detected. Training 3 minutes a day for 16 days with a CBT-based mobile application may lead to reductions in some forms of body dissatisfaction, including BDD symptoms in female university students at high-risk of developing BIDs. On the other hand, effects of the intervention on ED symptoms seem more limited.     

Pain for the Moral Error Theory? A New Companions-in-Guilt Argument

The moral error theorist claims that moral discourse is irredeemably in error because it is committed to the existence of properties that do not exist. A common response has been to postulate ‘companions in guilt’—forms of discourse that seem safe from error despite sharing the putatively problematic features of moral discourse. The most developed instance of this pairs moral discourse with epistemic discourse. In this paper, I present a new, prudential, companions-in-guilt argument and argue for its superiority over the epistemic alternative.     

In Which Situations Do Adolescents Seek Parental Support and What Do They Need?

Journal of Child and Family Studies - Throughout development, the conditions that elicit children’s support seeking behaviour change hand in hand with maturation and changing developmental...     

Relationships Among Spirituality, Religious Practices, Personality Factors, and Health for Five Different Faith Traditions

To determine: (1) differences in spirituality, religiosity, personality, and health for different faith traditions; and (2) the relative degree to which demographic, spiritual, religious, and personality variables simultaneously predict health outcomes for different faith traditions. Cross-sectional analysis of 160 individuals from five different faith traditions including Buddhists (40), Catholics (41), Jews (22), Muslims (26), and Protestants (31). Brief multidimensional measure of religiousness/spirituality (BMMRS; Fetzer in Multidimensional measurement of religiousness/spirituality for use in health research, Fetzer Institute, Kalamazoo, 1999); NEO-five factor inventory (NEO-FFI; in Revised NEO personality inventory (NEO PI-R) and the NEO-five factor inventory (NEO-FFI) professional manual, Psychological Assessment Resources, Odessa, Costa and McCrae 1992); Medical outcomes scale-short form (SF-36; in SF-36 physical and mental health summary scores: A user??s manual, The Health Institute, New England Medical Center, Boston, Ware et al. 1994). (1) ANOVAs indicated that there were no significant group differences in health status, but that there were group differences in spirituality and religiosity. (2) Pearson??s correlations for the entire sample indicated that better mental health is significantly related to increased spirituality, increased positive personality traits (i.e., extraversion) and decreased personality traits (i.e., neuroticism and conscientiousness). In addition, spirituality is positively correlated with positive personality traits (i.e., extraversion) and negatively with negative personality traits (i.e., neuroticism). (3) Hierarchical regressions indicated that personality predicted a greater proportion of unique variance in health outcomes than spiritual variables. Different faith traditions have similar health status, but differ in terms of spiritual, religious, and personality factors. For all faith traditions, the presence of positive and absence of negative personality traits are primary predictors of positive health (and primarily mental health). Spiritual variables, other than forgiveness, add little to the prediction of unique variance in physical or mental health after considering personality. Spirituality can be conceptualized as a characterological aspect of personality or a distinct construct, but spiritual interventions should continue to be used in clinical practice and investigated in health research.     

Convergent/Divergent Validity of the Brief Multidimensional Measure of Religiousness/Spirituality: Empirical Support for Emotional Connectedness as a “Spiritual” Construct

The objective of this article is to determine the convergent/divergent validity of the Brief Multidimensional Measure of Religiousness/Spirituality (BMMRS; Fetzer Institute & National Institute on Aging Working Group 1999) subscales by correlating it with the Temperament and Character Inventory (TCI) Self-Transcendence subscales (i.e., Mysticism, Transpersonal Identification, Self-Forgetfulness; Cloninger et al. 1994). The cross-sectional analysis of 97 undergraduate/graduate students from a Midwestern university was made. The results are (1) all five BMMRS spirituality subscales were significantly correlated with the TCI Mysticism scale; (2) two BMMRS scales (i.e., Daily Spiritual Experiences, Values/Beliefs) were significantly correlated with the TCI Transpersonal Identification scales; (3) no BMMRS spiritual subscales were significantly correlated with the TCI Self-Forgetfulness scale; and (4) of the BMMRS religion scales, only the Organizational Religiousness subscale was correlated with any TCI subscale (i.e., Mysticism). The BMMRS appears to have adequate convergent/divergent validity, although the need exists to determine specific dimensions of spirituality. Inspection of the specific items of the BMMRS and TCI spiritual subscales that were most consistently correlated (i.e., BMMRS Daily Spiritual Experiences, Values/Beliefs; TCI Mysticism, Transpersonal Identification) suggests the existence of a distinct spiritual construct that is best conceptualized as the experience of emotional connectedness to the divine, nature, and/or others.     

An R package for state-trace analysis

State-trace analysis (Bamber, Journal of Mathematical Psychology, 19, 137-181, 1979) is a graphical analysis that can determine whether one or more than one latent variable mediates an apparent dissociation between the effects of two experimental manipulations. State-trace analysis makes only ordinal assumptions and so, is not confounded by range effects that plague alternative methods, especially when performance is measured on a bounded scale (such as accuracy). We describe and illustrate the application of a freely available GUI driven package, StateTrace, for the R language. StateTrace automates many aspects of a state-trace analysis of accuracy and other binary response data, including customizable graphics and the efficient management of computationally intensive Bayesian methods for quantifying evidence about the outcomes of a state-trace experiment, developed by Prince, Brown, and Heathcote (Psychological Methods, 17, 78-99, 2012).