Patients’ Attitudes Towards Disclosure of Genetic Test Results to Family Members: The Impact of Patients’ Sociodemographic Background and Counseling Experience

Many factors predict the intention to disclose genetic information to relatives. The article examines the impact of patients’ socio-demographic factors on their intention to disclose genetic testing results to their relatives. Data were collected in eight genetic clinics in Israel. Patients were requested to fill in a questionnaire after counseling. A convenience sample of 564 participants who visited these clinics was collected for a response rate of 85 %. Of them, 282 participants came for susceptibility testing for hereditary cancers (cancer group), and 282 for genetic screening tests (prenatal group). In the cancer group, being secular and having more years of education correlated positively with the intention to disclose test results to relatives. In the prenatal group, being married and female correlated positively with the intention to disclose. In the cancer group, being religious and with less years of education correlated positively with the view that the clinician should deliver the results to the family. In the prenatal group, being male and unmarried correlated positively with this belief. In both groups, being of young age correlated with the perception that genetic information is private. Varied sociodemographic factors affect the intention to inform family members. Thus, knowing the social background of patients will shed light on people’s attitudes to genetic information and will help clinicians provide effective counseling in discussions with patients about the implications of test results for relatives.     

Therapist empathy,homework compliance,and outcome in cognitive behavioral therapy for generalized anxiety disorder: partitioning within- and between-therapist effects

Although client-perceived therapist empathy relates to positive therapy outcomes, including in cognitive behavioral therapy (CBT), little is known about how empathy exerts its ameliorative effect. One possible way is by promoting clients’ subsequent homework compliance, a variable that also predicts positive outcomes in CBT. The present study sought to investigate simultaneously, in the context of 43 therapist–client dyads receiving 15 sessions of CBT for generalized anxiety disorder, (1) the association of early client-perceived therapist empathy (averaged over sessions 1, 3, 5) with mid-treatment client homework compliance (averaged over sessions 6, 8, 10); (2) the association of mid-treatment homework compliance on client posttreatment worry severity; and (3) the indirect effect of early perceived therapist empathy on posttreatment worry through mid-treatment homework compliance. Given that clients were nested within therapists, we examined both within- and between-therapist differences in clients’ ratings of therapist empathy and homework compliance, and tested both of these indices as predictors of the relevant dependent variables in a multilevel model. At the within-therapist level (i.e., differences between clients within a given therapist’s caseload), greater early empathy was associated with greater mid-treatment homework compliance. At the between-therapist level (i.e., differences between therapists across all of their cases), greater between-therapist homework compliance was related to lower posttreatment worry. Finally, homework compliance was not found to mediate the relationship between empathy and posttreatment outcome. The results underscore the importance of parsing client and therapist effects, and are discussed with regard to their training and research implications.     

Stress factors,social support,and violence in Israeli society: A quantitative analysis

In the present study violence in Israel for a period of 32 years (1950-1981) was analyzed, within a stress model according to which the probability of violence and agression as a reaction to stress will increase when social support systems fail or malfunction. Following this model, three types of variables were identified: 1. Measures of stress and social change: to the regular social stressors (i.e., inflation and unemployment), we added two measures of affluence (income per capita and rates of cars) as well as population density. 2. Measures of social support: rates of birth to unmarried mothers and marriage and divorce rates served as measures of the strength of the family. Another measure in this category was rates of psychiatric hospitalization. 3. Measures of violence: in addition to rates of homicide, robbery, and all offenses, inward directed aggression (suicide) was included in this category. At the first stage of the data analysis, Guttman's Smallest Space Analysis (SSA-1) was applied, providing a two-dimensional space diagram of the correlations between the variables. At the second stage, a multiple regression analysis was introduced. The findings indicate that the theoretical model received substantial support mainly from four stress measures (inflation, income per capita, cars, and population density) and one measure of social support (divorce). Unemployment contributed significantly (in the expected direction) only to homicide. Some theoretical implications of the findings, as well as their relevance to some developments in Israeli society are discussed, and suggestions are made for future research.     

Religiosity as a Substance Use Protective Factor Among Female College Students

Journal of Religion and Health - Research exists about religiosity as a substance use protective factor. However, there is little attention of this issue regarding Israeli female college students....     

Relationship Quality among Chronically Ill Children and their Parents

The present study examined the quality of parent–child relationships as reported by 383 parents of chronically ill children. The medical condition category, child’s mobility, education type and childcare assistance were examined. Parents answered the Parent–Child Relationship Inventory (PCRI). In addition, 45 parents of chronically ill children were interviewed. The results indicated a significant difference in most aspects of the PCRI (limit setting, promotion of autonomy, communication, satisfaction and involvement) across medical condition categories. Further child variables (mobility, assistance and education type) had an effect on the PCRI subscales as well. Interview analysis revealed a difference in the reported quality of parent–child relationships between medical conditions categories. Parents of mentally ill children primarily felt anger and guilt in their relationship with their ill children, whereas parents of children with cancer and autoimmune disease primarily felt depressed. Our results suggest the need for further study of parent–child relationships in and between different chronic childhood medical conditions in an attempt to address parents’ and children’s needs in an optimal way.     

Personality Research and Assessment in the Era of Machine Learning

The increasing availability of high-dimensional, fine-grained data about human behaviour, gathered from mobile sensing studies and in the form of digital footprints, is poised to drastically alter the way personality psychologists perform research and undertake personality assessment. These new kinds and quantities of data raise important questions about how to analyse the data and interpret the results appropriately. Machine learning models are well suited to these kinds of data, allowing researchers to model highly complex relationships and to evaluate the generalizability and robustness of their results using resampling methods. The correct usage of machine learning models requires specialized methodological training that considers issues specific to this type of modelling. Here, we first provide a brief overview of past studies using machine learning in personality psychology. Second, we illustrate the main challenges that researchers face when building, interpreting, and validating machine learning models. Third, we discuss the evaluation of personality scales, derived using machine learning methods. Fourth, we highlight some key issues that arise from the use of latent variables in the modelling process. We conclude with an outlook on the future role of machine learning models in personality research and assessment.     

Investigating the Relationships Between Mobility Behaviours and Indicators of Subjective Well-Being Using Smartphone-Based Experience Sampling and GPS Tracking

People interact with their physical environments every day by visiting different places and moving between them. Such mobility behaviours likely influence and are influenced by people's subjective well-being. However, past research examining the links between mobility behaviours and well-being has been inconclusive. Here, we provide a comprehensive investigation of these relationships by examining individual differences in two types of mobility behaviours (movement patterns and places visited) and their relationship to six indicators of subjective well-being (depression, loneliness, anxiety, stress, affect, and energy) at two different temporal levels of analysis (two-week tendencies and daily level). Using data from a large smartphone-based longitudinal study (N = 1765), we show that (i) movement patterns assessed via GPS data (distance travelled, entropy, and irregularity) and (ii) places visited assessed via experience sampling reports (home, work, and social places) are associated with subjective well-being at the between and within person levels. Our findings suggest that distance travelled is related to anxiety, affect, and stress, irregularity is related to depression and loneliness, and spending time in social places is negatively associated with loneliness. We discuss the implications of our work and highlight directions for future research on the generalizability to other populations as well as the characteristics of places. © 2020 European Association of Personality Psychology     

Thyroid chondroplasty: Smoothing the thyroid cartilage— A retrospective study of thyroid chondroplasty for feminine neck appearance

Background: Thyroid chondroplasty is a surgical intervention for reduction of the Adam's apple, performed in trans women to achieve a more feminine appearance of the neck. This procedure is necessary since hormonal therapy given as part of gender affirming medical interventions has no effect on the mature larynx.

Objectives: We aim to describe our thyroid chondroplasty surgical technique and outcome of all thyroid chondroplasties performed during the study period.

Methods: A retrospective chart review of all thyroid chondroplasty procedures performed in a tertiary referral center between 2006 and 2015. Patients' clinical characteristics and surgical outcome were recorded and analyzed.

Results: Twenty-seven trans women underwent thyroid chondroplasty in our institution. Post-operative complications included a single patient who suffered from false vocal fold (ventricular folds) hematoma that resolved spontaneously. Five other patients had an erythematous scar. No other complications were observed.

Conclusion: Thyroid chondroplasty is a safe procedure for achieving a feminine neck contour in trans women.