Impact of Caregiver Factors on Youth Service Utilization of Trauma-Focused Cognitive Behavioral Therapy in a Community Setting

Trauma-Focused Cognitive Behavioral Therapy (TF-CBT) is an increasingly available evidence-based therapy that targets the mental health symptoms of youth who have experienced trauma. Limited research has examined how to engage and retain families in TF-CBT services in community settings. Using a mixed-methods approach, the goal of this exploratory study was to identify caregiver factors that impact youth enrollment and completion of community-delivered TF-CBT. The study included 41 caretakers of youth referred to therapy at a local child advocacy center following a forensic assessment substantiating youth trauma exposure. Caregiver factors examined include caregiver demographics, trauma exposure, and mental health symptomology. Results from multivariate logistic regressions indicate that caregivers reporting more children residing in the household were significantly more likely to enroll youth in therapy (OR 2.27; 95 % CI 1.02, 5.03). Qualitative analyses further explicate that parents with personal trauma or therapy experiences expressed positive opinions regarding therapy services for youth, and were more likely to enroll in or complete services. Findings suggest that caregivers with personal traumatic experience and related symptomatology view therapy as important and are more committed to their child receiving therapy. Future research on service utilization is warranted and should explore offering parental psychoeducation or engagement strategies discussing therapy benefits to parents who have not experienced trauma and related mental health symptomatology.     

Psychiatric Morbidity and Family Environment Among Female Juvenile Detainees in a Malaysian Sample

Family environmental factors have been implicated in the development of delinquency and adolescent psychiatric disorders. We examined the association between psychiatric disorders and family environmental factors among female juvenile detainees. A hundred female juvenile detainees in a Malaysian rehabilitation center (12–17 years-old) were assessed using the Mini International Neuropsychiatric Interview for Child and Adolescent and the Family Environment Scale. Majority of participants (56 %) had a psychiatric disorder, the commonest being Disruptive Behavior Disorders (40 %) and Depressive Disorders (30 %). Multivariate analysis found younger age (OR 0.52; 95 % CI 0.29, 0.94), older maternal age (OR 1.15; 95 % CI 1.03, 1.28), family history of crime (OR 7.19; 95 % CI 1.05, 49.43), family environment i.e. achievement orientation (OR 1.11; 95 % CI 1.02, 1.20) and control (OR 1.12; 95 % CI 1.03, 1.22) as significant factors for psychiatric disorder. This study demonstrated the role of age (younger adolescent and older mother), family history of crime and family environment beyond socio-economic status in psychiatric morbidity among female juvenile detainees. Future larger studies are needed to clarify familial-genetic factors that may impact strategies for family-centric mental health interventions.     

Measuring implicit intergroup biases

Implicit intergroup biases are automatically activated prejudices and stereotypes that may influence judgments of others on the basis of group membership. We review evidence on the measurement of implicit intergroup biases, finding: implicit intergroup biases reflect the personal and the cultural, implicit measures vary in reliability and validity, and implicit measures vary greatly in their prediction of explicit and behavioral outcomes due to theoretical and methodological moderators. We then discuss three challenges to the application of implicit intergroup biases to real‐world problems: (1) a lack of research on social groups of scientific and public interest, (2) developing implicit measures with diagnostic capabilities, and (3) resolving ongoing ambiguities in the relationship between implicit bias and behavior. Making progress on these issues will clarify the role of implicit intergroup biases in perpetuating inequality.     

Visual perceptual abilities of Chinese-speaking and English-speaking children

This paper reports an investigation of Chinese-speaking and English-speaking children's general visual perceptual abilities. The Developmental Test of Visual Perception was administered to 41 native Chinese-speaking children of mean age 5 yr. 4 mo. in Hong Kong and 35 English-speaking children of mean age 5 yr. 2 mo. in Melbourne. Of interest were the two interrelated components of visual perceptual abilities, namely, motor-reduced visual perceptual and visual-motor integration perceptual abilities, which require either verbal or motoric responses in completing visual tasks. Chinese-speaking children significantly outperformed the English-speaking children on general visual perceptual abilities. When comparing the results of each of the two different components, the Chinese-speaking students' performance on visual-motor integration was far better than that of their counterparts (ES = 2.70), while the two groups of students performed similarly on motor-reduced visual perceptual abilities. Cultural factors such as written language format may be contributing to the enhanced performance of Chinese-speaking children's visual-motor integration abilities, but there may be validity questions in the Chinese version.     

Perceptual Processing of Mandarin Nasals by L1 and L2 Mandarin Speakers

Nasals are cross-linguistically susceptible to change, especially in the syllable final position. Acoustic reports on Mandarin nasal production have recently shown that the syllable-final distinction is frequently dropped. Few studies, however, have addressed the issue of perceptual processing in Mandarin nasals for L1 and L2 speakers of Mandarin Chinese. The current paper addressed to what extent and in what directions L1 and L2 speakers of Mandarin differed in perceiving Mandarin nasals. Possible variables, including the linguistic backgrounds (i.e. L1 vs. L2 speakers of Mandarin Chinese), the vocalic contexts (i.e. [i, ?, a, y, ua, u?, ia]) and the phonetic settings (i.e. syllable-initial vs. syllable-final), were discussed. Asymmetrical findings in the current investigation indicated limitations of speech learning theories developed from European languages in the context of Mandarin nasals. A tri-dimensional model was thus suggested for interpreting the cognitive mechanism in Mandarin nasal perception.     

Are DSM-IV-TR Borderline Personality Disorder, ICD-10 Emotionally Unstable Personality Disorder, and CCMD-III Impulsive Personality Disorder Analogous Diagnostic Categories Across Psychiatric Nomenclatures?

This study examined the validity of the borderline construct which encompasses diagnostic criteria from the DSM-IV-TR Borderline Personality Disorder (BPD), ICD-10 Emotionally Unstable Personality Disorder (EUPD), and CCMD-III Impulsive Personality Disorder (IPD) in a sample of 1,419 Chinese psychiatric patients. Participants completed the Chinese Personality Disorder Inventory and the Chinese Personality Assessment Inventory-2 assessing various disordered personality features. Adequate internal consistency was found for the borderline construct (α = .83). Exploratory factor analysis revealed two components: (1) affective and cognitive disturbances, and (2) impulse dysregulation, which were replicated by confirmatory factor analysis. Item analysis indicated that the various borderline criteria displayed similar levels of diagnostic efficiency, which does not support the elimination of fear of abandonment and transient psychotic features from the EUPD and IPD criteria set. Findings of this study suggest that BPD, EUPD, and IPD may represent analogous diagnostic categories across classification systems.     

Solubility criterion for sequential disordering in metal-metal multilayers upon solid-state reaction

An n-body Ni-Ti potential is derived and applied in a molecular dynamics simulation to study the maximum supersaturated solubility of the terminal solid solutions and solid-state reaction in a Ni/Ti bilayer. It reveals that during interfacial reaction of the Ni/Ti bilayer the Ti lattice reaches its maximum solubility by dissolving Ni earlier than Ni does through dissolution of Ti, which results in a sequential disordering of first Ti and then Ni, although Ti has a higher melting point than Ni. In the Ni-Zr, Ni-Mo and Ni-Ta systems, however, the Ni lattice collapses more rapidly because it reaches a maximum solubility earlier than its partners, which have higher melting points than Ni. A solubility criterion is thus relevant for all the above cases; the lower the maximum solid solubility the less stable is the lattice of the metal upon solid-state reaction.     

Abstract: Sample Size Planning for Latent Curve Models

When designing a study that uses structural equation modeling (SEM), an important task is to decide an appropriate sample size. Historically, this task is approached from the power analytic perspective, where the goal is to obtain sufficient power to reject a false null hypothesis. However, hypothesis testing only tells if a population effect is zero and fails to address the question about the population effect size. Moreover, significance tests in the SEM context often reject the null hypothesis too easily, and therefore the problem in practice is having too much power instead of not enough power.

An alternative means to infer the population effect is forming confidence intervals (CIs). A CI is more informative than hypothesis testing because a CI provides a range of plausible values for the population effect size of interest. Given the close relationship between CI and sample size, the sample size for an SEM study can be planned with the goal to obtain sufficiently narrow CIs for the population model parameters of interest.

Latent curve models (LCMs) is an application of SEM with mean structure to studying change over time. The sample size planning method for LCM from the CI perspective is based on maximum likelihood and expected information matrix. Given a sample, to form a CI for the model parameter of interest in LCM, it requires the sample covariance matrix S, sample mean vector , and sample size N. Therefore, the width (w) of the resulting CI can be considered a function of S, , and N. Inverting the CI formation process gives the sample size planning process. The inverted process requires a proxy for the population covariance matrix Σ, population mean vector μ, and the desired width ω as input, and it returns N as output. The specification of the input information for sample size planning needs to be performed based on a systematic literature review. In the context of covariance structure analysis, Lai and Kelley (2011) discussed several practical methods to facilitate specifying Σ and ω for the sample size planning procedure.