Attachment and Effortful Control in Toddlerhood Predict Academic Achievement Over a Decade Later.

A child's attachment to his or her caregiver is central to the child's development. However, current understanding of subtle, indirect, and complex long-term influences of attachment on various areas of functioning remains incomplete. Research has shown that (a) parent-child attachment influences the development of effortful control and that (b) effortful control influences academic success. The entire developmental cascade among these three constructs over many years, however, has rarely been examined. This article reports a multimethod, decade-long study that examined the influence of mother-child attachment and effortful control in toddlerhood on school achievement in early adolescence. Both attachment security and effortful control uniquely predicted academic achievement a decade later. Effortful control mediated the association between early attachment and school achievement during adolescence. This work suggests that attachment security triggers an adaptive cascade by promoting effortful control, a vital set of skills necessary for future academic success.

Mapping emotional disorders at the finest level: Convergent validity and joint structure based on alternative measures.

BACKGROUND: Traditional categorization of emotional disorders suffers from within-disorder heterogeneity and excessive comorbidity. Quantitative nosology instead proposes grouping homogenous components of these disorders within a higher order internalizing dimension. However, the precise number, composition, and hierarchical structure of these components remains unclear and varies based on assessment tools. METHODS: The present study jointly examined two assessment systems with the broadest coverage of homogeneous emotional disorder components-the revised Interview for Mood and Anxiety Symptoms (IMAS-R) and the self-report-based expanded version of the Inventory of Depression and Anxiety Symptoms (IDAS-II)-to map their convergent and discriminant validity and joint structure in outpatient (N=426) and treated student (N=306) samples. RESULTS: Results identified 33 non-redundant components of emotional disorders. Most demonstrated strong convergent and discriminant validity between these two instruments. However, the IMAS-R provided more detailed and differentiated characterization of the content subsumed within three IDAS-II scales, and seven of the 33 components were unique to one measure or the other. Joint analysis of scales from both measures supported a four factor (i.e., distress, fear, OCD, mania) mid-level structure of emotional disorders. CONCLUSIONS: Using multiple measures, methods, and samples, the present study provided evidence for the validity of core lower order components of the internalizing dimension and suggested they cluster into as many as four distinct factors reflecting distress, fear, OCD, and mania.

Abnormal personality and the mood and anxiety disorders: implications for structural models of anxiety and depression.

Substantial overlap exists between the mood and anxiety disorders. Previous research has suggested that their comorbidity can be explained by a shared factor (negative emotionality), but that they may also be distinguished by other unique components. The current study explicated these relations using an abnormal personality framework. Current diagnoses of major depression and several anxiety disorders were assessed in 563 Gulf War veterans. Participants also completed the schedule for nonadaptive and adaptive personality (SNAP) to determine how these disorders relate to abnormal personality traits. Analyses of individual diagnoses indicated that depression, generalized anxiety disorder (GAD), and post-traumatic stress disorder (PTSD) were more strongly related to personality than were other anxiety disorders. The Self-Harm Scale distinguished major depression from all other disorders, highlighting its significance for future structural models. Our results add to a growing body of evidence suggesting that GAD and PTSD have more in common with major depression than with their anxiety disorder counterparts.

Development and validation of the Inventory of Depression and Anxiety Symptoms (IDAS).

The authors describe a new self-report instrument, the Inventory of Depression and Anxiety Symptoms (IDAS), which was designed to assess specific symptom dimensions of major depression and related anxiety disorders. They created the IDAS by conducting principal factor analyses in 3 large samples (college students, psychiatric patients, community adults); the authors also examined the robustness of its psychometric properties in 5 additional samples (high school students, college students, young adults, postpartum women, psychiatric patients) who were not involved in the scale development process. The IDAS contains 10 specific symptom scales: Suicidality, Lassitude, Insomnia, Appetite Loss, Appetite Gain, Ill Temper, Well-Being, Panic, Social Anxiety, and Traumatic Intrusions. It also includes 2 broader scales: General Depression (which contains items overlapping with several other IDAS scales) and Dysphoria (which does not). The scales (a) are internally consistent, (b) capture the target dimensions well, and (c) define a single underlying factor. They show strong short-term stability and display excellent convergent validity and good discriminant validity in relation to other self-report and interview-based measures of depression and anxiety.

Hierarchical structure of emotional disorders: From individual symptoms to the spectrum.

Classification of emotional disorders faces challenges of within-disorder heterogeneity and between-disorder comorbidity. The current study addressed these issues by analyzing all emotional disorder symptoms to identify homogeneous dimensions that characterize this domain. These dimensions were, in turn, used to define coherent syndromes and higher order factors. All of the emotional disorder symptoms specified in diagnostic manuals were assessed by interview in 2 treatment-seeking samples (N = 426 and 305), alongside clinical diagnoses and functioning measures. Exploratory and confirmatory factor analyses were employed to elucidate replicable lower and higher order structures. We found 31 homogenous symptom dimensions that clustered, at different levels of generality, into 8 syndromes (Vegetative Symptoms, Cognitive Depression, Posttraumatic Stress Disorder, Panic, Social Anxiety, Phobia, Obsessive-Compulsive Disorder [OCD], and Mania), 3 subfactors (Distress, Fear, and OCD/Mania), and a single Internalizing spectrum. This structure replicated in both samples. Identified dimensions showed considerable convergence with categorical diagnoses, but provided more information about global functioning than diagnoses. Overall, current results propose a novel comprehensive description of the lower order structure of emotional disorders. The empirical syndromes generally paralleled disorders listed in diagnostic manuals, although several differences were notable. The higher order results also confirmed previously reported Distress, Fear, and Mania subfactors of the Internalizing spectrum using homogeneous dimensional markers. Taken together, results highlight a bottom-up approach to constructing an empirical nosology that does not rely on analysis of diagnostic categories. The resulting hierarchical system can be used clinically and to facilitate research on the pathophysiology of emotional disorders, which, in turn, can inform intervention and prevention. (PsycINFO Database Record

The brief experiential avoidance questionnaire: development and initial validation.

The 62-item Multidimensional Experiential Avoidance Questionnaire (MEAQ) was recently developed to assess a broad range of experiential avoidance (EA) content. However, practical clinical and research considerations made a briefer measure of EA desirable. Using items from the original 62-item MEAQ, a 15-item scale was created that tapped content from each of the MEAQ's six dimensions. Items were selected on the basis of their performance in 3 samples: undergraduates (n = 363), psychiatric outpatients (n = 265), and community adults (n = 215). These items were then evaluated using 2 additional samples (314 undergraduates and 201 psychiatric outpatients) and cross-validated in 2 new, independent samples (283 undergraduates and 295 community adults). The resulting measure (Brief Experiential Avoidance Questionnaire; BEAQ) demonstrated good internal consistency. It also exhibited strong convergence with respect to each of the MEAQ's 6 dimensions. The BEAQ demonstrated expected associations with measures of avoidance, psychopathology, and quality of life and was distinguishable from negative affectivity and neuroticism.

Development of a measure of experiential avoidance: the Multidimensional Experiential Avoidance Questionnaire.

Experiential avoidance (EA) has been conceptualized as the tendency to avoid negative internal experiences and is an important concept in numerous conceptualizations of psychopathology as well as theories of psychotherapy. Existing measures of EA have either been narrowly defined or demonstrated unsatisfactory internal consistency and/or evidence of poor discriminant validity vis-à-vis neuroticism. To help address these problems, we developed a reliable self-report questionnaire assessing a broad range of EA content that was distinguishable from higher order personality traits. An initial pool of 170 items was administered to a sample of undergraduates (N = 312) to help evaluate individual items and establish a structure via exploratory factor analyses. A revised set of items was then administered to another sample of undergraduates (N = 314) and a sample of psychiatric outpatients (N = 201). A 2nd round of item evaluation was performed, resulting in a final 62-item measure consisting of 6 subscales. Cross-validation data were gathered in 3 new, independent samples (students, N = 363; patients, N = 265; community adults, N = 215). The resulting measure (the Multidimensional Experiential Avoidance Questionnaire, or MEAQ) exhibited good internal consistency, was substantially associated with other measures of avoidance, and demonstrated greater discrimination vis-à-vis neuroticism relative to preexisting measures of EA. Furthermore, the MEAQ was broadly associated with psychopathology and quality of life, even after controlling for the effects of neuroticism.

The validity of self-report assessment of avoidance and distress.

Both distress and behavioral avoidance have been implicated in the development and maintenance of many forms of psychopathology. However, it is still unclear whether these constructs can be distinguished, or whether both can independently explain comorbid psychopathology (CP) as they are normally assessed (via self-report methods). To help address these questions, we assessed distress and avoidance in relation to phobic situations via structured interview in a sample of college students (N=385) and a sample of psychiatric outpatients (N=288). Various types of psychopathology were also assessed. Structural equation modeling revealed that individuals do not readily distinguish between distress and avoidance, and that self-reported avoidance does not predict the severity of CP after distress associated with avoided situations has been taken into account. These data suggest that situational distress and avoidance cannot be clearly distinguished in self-reported assessments and raise questions concerning the common practice of relying on client report to measure avoidance. Hence, different methods are needed to obtain clinically useful ratings of avoidance.

Linking "big" personality traits to anxiety, depressive, and substance use disorders: a meta-analysis.

We performed a quantitative review of associations between the higher order personality traits in the Big Three and Big Five models (i.e., neuroticism, extraversion, disinhibition, conscientiousness, agreeableness, and openness) and specific depressive, anxiety, and substance use disorders (SUD) in adults. This approach resulted in 66 meta-analyses. The review included 175 studies published from 1980 to 2007, which yielded 851 effect sizes. For a given analysis, the number of studies ranged from three to 63 (total sample size ranged from 1,076 to 75,229). All diagnostic groups were high on neuroticism (mean Cohen's d = 1.65) and low on conscientiousness (mean d = -1.01). Many disorders also showed low extraversion, with the largest effect sizes for dysthymic disorder (d = -1.47) and social phobia (d = -1.31). Disinhibition was linked to only a few conditions, including SUD (d = 0.72). Finally, agreeableness and openness were largely unrelated to the analyzed diagnoses. Two conditions showed particularly distinct profiles: SUD, which was less related to neuroticism but more elevated on disinhibition and disagreeableness, and specific phobia, which displayed weaker links to all traits. Moderator analyses indicated that epidemiologic samples produced smaller effects than patient samples and that Eysenck's inventories showed weaker associations than NEO scales. In sum, we found that common mental disorders are strongly linked to personality and have similar trait profiles. Neuroticism was the strongest correlate across the board, but several other traits showed substantial effects independent of neuroticism. Greater attention to these constructs can significantly benefit psychopathology research and clinical practice.