Shared and unique characteristics of school,cyber and family victimization among school-aged children in Hong Kong

Victimizations from online and offline violence, such as sibling violence, school violence and witness of family violence, both have negative associations with victims' mental health and may share similar individual and family characteristics. This study aims to explore the common and differentiated characteristics in the prediction of school, cyber and family victimization and whether there are unique associations within these victimization types. We employed a two-stage stratified sampling method to collect a representative sample of 5567 children aged 3–17 from a cross-sectional, school-based survey in Hong Kong. Results showed that all types of child victimization, including sibling, school and cyberbullying, as well as the witness of violence at home, were positively correlated with each other. Children's age was positively related to the occurrence and cooccurrence of all types of child victimization. Frequent family residential mobility and parents' higher education level were positively related to all types of children's victimization. The scores of all aspects of children's paediatric quality of life were found negatively related to children's school victimization. This study provides insight into the unique and shared elements of children's online and offline victimization. Knowledge of the distinguished familial gradients of child victimization at home and beyond could benefit the development of child victimization prevention.     

Adapting private family time in child protective services decision-making processes

The Family Group Conference (FGC) is grounded in a rights-based framework, whereby children and their families have the right and responsibility to be primary decision-makers when child protection issues arise, and the statutory agency has the responsibility to convene the entitled members of the family network to lead the decision-making. A distinct core component of FGC—private family time (PFT)—allows families to discuss the information and formulate their responses and plans privately during conferencing. This paper describes how a large child welfare agency in the United States adapted PFT in two ways: (1) including a parent advocate (PA) and (2) abbreviating the amount of time allowed for this discussion. Given the lack of empirical research on the PFT component, this qualitative exploratory study sought to understand the functions and perceived impacts of PA-supported PFT during initial child protective services (CPS) conferences at which decisions of child removal or placement were being contemplated. PFT served multiple beneficial functions and impacted families in several positive ways: families gained greater awareness of safety concerns, felt empowered and confident in the preferred safety and service plan, became increasingly engaged and involved in the case decision-making process and ultimately felt less apprehensive.     

Substance use and other factors associated with child welfare case duration: Looking beyond out of home care

Little is known about factors associated with child welfare case duration. Understanding factors associated with case duration may help stakeholders make more informed decisions about funding and service allocation and improve compliance with federal law. This study had two research questions: (1) What factors are associated with child welfare case duration? And (2) Do factors differ depending on whether children were placed exclusively with parents or with others (e.g. relatives and foster care) during the case? The study sample consisted of families (N = 874) with co-occurring child maltreatment and substance use in one midwestern state in the United States between 2007 and 2016. Linear regression models were used to identify correlates of case duration while controlling for child placement status. Overall, having a child under 1 year of age, benzodiazepine use, methamphetamine use and injection drug use were all associated with longer case duration, whereas marijuana use with no other substance use was associated with shorter case duration. Additionally, factors associated with case duration differed based on child placement status during the case. These findings suggest important heterogeneity in families involved with child welfare services and may allow for proactive mitigation of cases at greater risk.     

The unique relationship between childhood sexual abuse,self-injury and suicide ideation: The mediating role of emotion dysregulation

Child sexual abuse (CSA) has serious short-term and long-term effects, including non-suicidal self-injury (NSSI) and suicidal ideation (SI). One possible thread linking CSA to NSSI and suicide risk is emotion dysregulation. The current study assessed whether facets of emotion dysregulation mediated relations of NSSI behaviours and functions, and SI. Participants (N = 121; Mean age = 18.69, age-range 18–22; 78 per cent female), college students with a history of childhood trauma, completed an online survey. Results indicated that facets of emotion dysregulation (i.e. clarity, non-acceptance) mediated the relationship between CSA and SI. CSA was associated with automatic negative reinforcement, social negative and social positive reinforcement NSSI functions, but was not associated with NSSI behaviours. Emotion dysregulation facets did not mediate the relationship between CSA and NSSI functions. Findings highlight the need to help CSA survivors have clarity and acceptance of emotional experiences to reduce SI risk. This research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.     

Sibship and Inequality Beliefs: Do Siblings Have a Liberalizing or Conservatizing Effect?

How do individuals come to hold certain beliefs about meritocracy, individualism, and redistribution? Several sociodemographic factors are regularly used to understand variation in these beliefs, but other predictors remain untested. Meanwhile, scholars studying family dynamics are increasingly turning their attention toward the long-term social effects of distinct family features. One facet of this work focuses on the social role of siblings. We investigate the relationship at the intersection of these literatures. How does growing up with (more) siblings influence one's inequality beliefs? Do siblings promote collectivism or might these same relationships foster competition and individualism? Could trust be the mechanism connecting sibship size with inequality beliefs? Or, do sibling effects reflect a broader promotion of conservative thinking in larger families? We investigate these questions using data from the General Social Survey from 1984 to 2018. Our results indicate that siblings are associated with more conservative meritocracy beliefs. On the other hand, we find limited evidence of siblings influencing attitudes toward redistribution.     

Couples relationship standards and satisfaction in Pakistani couples

Relationship standards are beliefs about what is important in a satisfying couple relationship, which vary considerably between cultures, and might mean that what couples seek from couple therapy differs across cultures. We assessed the standards of n = 49 Pakistani couples and whether those standards predicted couple satisfaction. To provide referents for the Pakistani standards, we also assessed selfreported relationship standards in n = 33 Western couples and n = 30 Chinese couples. Pakistani couples endorsed couple bond standards (e.g., expressions of love) as similarly important, and family responsibility (e.g., extended family relations) standards as more important, than Western or Chinese couples. In Pakistani couples, Couple Bond predicted couples' relationship satisfaction, but family responsibility and Religion predicted only wives' satisfaction. Modest sample sizes necessitate caution in interpreting results but suggest existing couple therapies might need modification to address the distinctive relationship standards of Pakistani couples.     

Bayesian local influence for survival models

The aim of this paper is to develop a Bayesian local influence method (Zhu et al. 2009, submitted) for assessing minor perturbations to the prior, the sampling distribution, and individual observations in survival analysis. We introduce a perturbation model to characterize simultaneous (or individual) perturbations to the data, the prior distribution, and the sampling distribution. We construct a Bayesian perturbation manifold to the perturbation model and calculate its associated geometric quantities including the metric tensor to characterize the intrinsic structure of the perturbation model (or perturbation scheme). We develop local influence measures based on several objective functions to quantify the degree of various perturbations to statistical models. We carry out several simulation studies and analyze two real data sets to illustrate our Bayesian local influence method in detecting influential observations, and for characterizing the sensitivity to the prior distribution and hazard function.     

Why a Bayesian approach to safety analysis in pharmacovigilance is important

Large databases of routinely collected data are a valuable source of information for detecting potential associations between drugs and adverse events (AE). A pharmacovigilance system starts with a scan of these databases for potential signals of drug-AE associations that will subsequently be examined by experts to aid in regulatory decision-making. The signal generation process faces some key challenges: (1) an enormous volume of drug-AE combinations need to be tested (i.e. the problem of multiple testing); (2) the results are not in a format that allows the incorporation of accumulated experience and knowledge for future signal generation; and (3) the signal generation process ignores information captured from other processes in the pharmacovigilance system and does not allow feedback. Bayesian methods have been developed for signal generation in pharmacovigilance, although the full potential of these methods has not been realised. For instance, Bayesian hierarchical models will allow the incorporation of established medical and epidemiological knowledge into the priors for each drug-AE combination. Moreover, the outputs from this analysis can be incorporated into decision-making tools to help in signal validation and posterior actions to be taken by the regulators and companies. We discuss in this paper the apparent advantage of the Bayesian methods used in safety signal generation and the similarities and differences between the two widely used Bayesian methods. We will also propose the use of Bayesian hierarchical models to address the three key challenges and discuss the reasons why Bayesian methodology still have not been fully utilised in pharmacovigilance activities.