Callous-Unemotional Traits and Co-occurring Anxiety in Preschool and School-age Children: Investigation of Associations with Family's Socioeconomic Status and Home Chaos

While contemporary literature has traditionally viewed youth with Callous-Unemotional (CU) traits as a homogeneous group, there is a growing interest in delineating two variants of CU traits based on high or low levels of anxiety. Extensive attention has been brought in the CU traits literature to the study of relational factors such as maltreatment and parenting practices. However, very few studies have looked at other environmental contexts in which the children within these two variants evolve, such as home chaos or socioeconomic status (SES). In a community sample of children aged 4 to 9, divided into a preschool sample (N = 107; Mage = 4.95, SD = 0.62) and a school-age sample (N = 153; Mage = 7.49, SD = 1.11), the current study investigated whether anxiety moderates the associations of CU traits with SES and home chaos. Hierarchical regression analyses revealed that CU traits were positively associated with home chaos, regardless of anxiety levels. CU traits were negatively associated with SES, but this effect emerged only at high levels of anxiety. Notably, these findings were observed solely in the school-age subsample. Implications for understanding the two variants of CU traits (i.e., primary and secondary) and hypotheses regarding their developmental trajectories are discussed.

Variants of Callous-unemotional traits in childhood: investigation of attachment profile and hostile attribution bias

There is increasing evidence of interest in describing two variants of CallousUnemotional (CU) traits based on high (secondary variant) or low (primary variant) levels of anxiety. However, studies are limited in childhood. The present study aimed to further the understanding of the variants, specifically in association with hostile attribution bias (HAB) and attachment. In a community sample of children aged 4 to 9 (N = 70), the study examined whether anxiety moderated the association of CU traits with HAB, secure and disorganized attachment representations. Hierarchical regression analyses revealed that CU traits were positively associated with disorganized attachment, regardless of the anxiety level. In contrast, CU traits were not associated with secure attachment. A significant interaction revealed that CU traits were positively associated with HAB only at high levels of anxiety. Implications for understanding the variants of CU traits and hypotheses regarding their developmental trajectories are discussed.

Primary and Secondary Variants of Callous-Unemotional Traits in Early and Middle Childhood: Distinction, Evaluation and Empathic Differences

Current literature demonstrates the relevance of considering two variants of CU traits based on high or low levels of anxiety. However, there is limited information about these variants in young community samples. The current study used cluster analyses to investigate the primary and the secondary variants of CU traits in two samples of children: preschool (N = 107; Mage = 4.95, SD = 0.62) and school-age (N = 153; Mage = 7.49, SD = 1.11). The identified clusters were compared on empathic dimensions, aggressive behavior and criteria from the "with limited prosocial emotions" specifier from the DSM-V. The primary variant was identified as early as preschool age while the secondary variant was only identified in the school-age sample. In this latter sample, the two variants did not differ on assessed variables, except for aggressive behavior. Despite the similarities between the two variants, these results suggest distinct developmental trajectories.

Factorial Structure of the Parent-Reported Version of the Inventory of Callous-Unemotional Traits Among Belgian Children: A Theory-Based Model

The factorial structure of the Inventory of Callous-Unemotional traits (ICU) is still under debate in the current literature and the published models are predominantly based on the empirical results of the statistical analyses rather than on a strong theoretical background. Aimed at overcoming these limits, the current study examined a factorial structure initiated by a theoretical framework for the parent-version of the ICU, based on a community sample of Belgian children aged 3–9 (N = 437; M age = 5.59; 54.7% boys). Further, the current study investigated measurement invariance across age and gender, and the external validity of this structure. Confirmatory factor analysis (CFA) indicated that empirical factor models from the current literature demonstrated a relatively poor fit to the data. Alternative models were built based on theory, specifically criteria from the DSM-V specifier “with limited prosocial emotions.” CFA supported an 18-item second order model with three first order factors (Lack of conscience, Unconcern about performance, Lack of emotional expression), a second order latent factor (General dimension of CU traits) and a methodological factor encompassing negatively worded items. Results supported measurement invariance across child gender, and to a lesser extent across age. As expected, the general dimension correlated with measures of aggressive behavior, attention problems, internalizing behavior and empathy. The Lack of emotional expression subfactor showed a different pattern of associations in comparison to the two other subfactors. The implications of these findings are discussed, specifically in relation to the DSM-V LPE specifier.

Development and validation of a short version of the Sarcopenia Quality of Life questionnaire: the SF-SarQoL

PURPOSE

To facilitate the measurement of quality of life in sarcopenia, we set out to reduce the number of items in the previously validated Sarcopenia Quality of Life (SarQoL®) questionnaire, and to evaluate the clinimetric properties of this new short form.

METHODS

The item reduction process was carried out in two phases. First, information was gathered through item-impact scores from older people (n = 1950), a Delphi method with sarcopenia experts, and previously published clinimetric data. In the second phase, this information was presented to an expert panel that decided which of the items to include in the short form. The newly created SFSarQoL was then administered to older, community-dwelling participants who previously participated in the SarcoPhAge study. We examined discriminative power, internal consistency, construct validity, test-retest reliability, structural validity and examined item parameters with a graded response model (IRT).

RESULTS

The questionnaire was reduced from 55 to 14 items, a 75% reduction. A total of 214 older, community-dwelling people were recruited for the validation study. The clinimetric evaluation showed that the SF-SarQoL® can discriminate on sarcopenia status [EWGSOP2 criteria; 34.52 (18.59-43.45) vs. 42.86 (26.56-63.69); p = 0.043], is internally consistent (α = 0.915, ω = 0.917) and reliable [ICC = 0.912 (0.847-0.942)]. A unidimensional model was fitted (CFI = 0.978; TLI = 0.975; RMSEA = 0.108, 90% CI 0.094-0.123; SRMR = 0.055) with no misfitting items and good response category separation.

CONCLUSIONS

A new, 14-item, short form version of the Sarcopenia Quality of Life questionnaire has been developed and shows good clinimetric properties.

Spontaneous atopic dermatitis due to immune dysregulation in mice lacking Adamts2 and 14

Since its first description, ADAMTS14 has been considered as an aminoprocollagen peptidase based on its high similarity with ADAMTS3 and ADAMTS2. As its importance for procollagen processing was never experimentally demonstrated in vivo, we generated Adamts14-deficient mice. They are healthy, fertile and display normal aminoprocollagen processing. They were further crossed with Adamts2-deficient mice to evaluate potential functional redundancies between these two highly related enzymes. Initial characterizations made on young Adamts2-Adamts14-deficient animals showed the same phenotype as that of Adamts2-deficient mice, with no further reduction of procollagen processing and no significant aggravation of the structural alterations of collagen fibrils. However, when evaluated at older age, Adamts2-Adamts14-deficient mice surprisingly displayed epidermal lesions, appearing in 2 month-old males and later in some females, and then worsening rapidly. Immunohistological evaluations of skin sections around the lesions revealed thickening of the epidermis, hypercellularity in the dermis and extensive infiltration by immune cells. Additional investigations, performed on young mice before the formation of the initial lesions, revealed that the primary cause of the phenotype was not related to alterations of the epidermal barrier but was rather the result of an abnormal activation and differentiation of T lymphocytes towards a Th1 profile. However, the primary molecular defect probably does not reside in the immune system itself since irradiated Adamts2-Adamts14-deficient mice grafted with WT immune cells still developed lesions. While originally created to better characterize the common and specific functions of ADAMTS2 and ADAMTS14 in extracellular matrix and connective tissues homeostasis, the Adamts2-Adamts14-deficient mice revealed an unexpected but significant role of ADAMTS in the regulation of immune system, possibly through a cross-talk involving mesenchymal cells and the TGFβ pathways.

Plausible values: how to deal with their limitations

Rasch modeling and plausible values methodology were used to scale and report the results of the Organization for Economic Cooperation and Development's Programme for International Student Achievement (PISA). This article will describe the scaling approach adopted in PISA. In particular it will focus on the use of plausible values, a multiple imputation approach that is now commonly used in large-scale assessment. As with all imputation models the plausible values must be generated using models that are consistent with those used in subsequent data analysis. In the case of PISA the plausible value generation assumes a flat linear regression with all students' background variables collected through the international student questionnaire included as regressors. Further, like most linear models, homoscedasticity and normality of the conditional variance are assumed. This article will explore some of the implications of this approach. First, we will discuss the conditions under which the secondary analyses on variables not included in the model for generating the plausible values might be biased. Secondly, as plausible values were not drawn from a multi-level model, the article will explore the adequacy of the PISA procedures for estimating variance components when the data have a hierarchical structure.

The computation of equating errors in international surveys in education

Since the IEA's Third International Mathematics and Science Study, one of the major objectives of international surveys in education has been to report trends in achievement. The names of the two current IEA surveys reflect this growing interest: Trends in International Mathematics and Science Study (TIMSS) and Progress in International Reading Literacy Study (PIRLS). Similarly a central concern of the OECD's PISA is with trends in outcomes over time. To facilitate trend analyses these studies link their tests using common item equating in conjunction with item response modelling methods. IEA and PISA policies differ in terms of reporting the error associated with trends. In IEA surveys, the standard errors of the trend estimates do not include the uncertainty associated with the linking step while PISA does include a linking error component in the standard errors of trend estimates. In other words, PISA implicitly acknowledges that trend estimates partly depend on the selected common items, while the IEA's surveys do not recognise this source of error. Failing to recognise the linking error leads to an underestimation of the standard errors and thus increases the Type I error rate, thereby resulting in reporting of significant changes in achievement when in fact these are not significant. The growing interest of policy makers in trend indicators and the impact of the evaluation of educational reforms appear to be incompatible with such underestimation. However, the procedure implemented by PISA raises a few issues about the underlying assumptions for the computation of the equating error. After a brief introduction, this paper will describe the procedure PISA implemented to compute the linking error. The underlying assumptions of this procedure will then be discussed. Finally an alternative method based on replication techniques will be presented, based on a simulation study and then applied to the PISA 2000 data.