Patterns of psychosocial risk and long-term outcomes in rheumatoid arthritis

This study examined the extent to which patterns of psychosocial risk were uniquely associated with long-term outcomes of rheumatoid arthritis (RA), after demographic factors and self-reported symptom severity over time were accounted for. Data were collected over an 8-year period from 561 individuals with RA who were participants in the ongoing UCSF RA Panel Study in 1995. Panel members were interviewed annually, using a comprehensive structured telephone interview. Psychosocial factors assessed included mastery, perceptions about adequacy of social support, the impact of RA and self-assessed ability to cope with RA and satisfaction with health and function. Cluster analysis of psychosocial factors identified three distinctive patterns/levels of psychosocial risk (high, medium and low risk). The unique effects of psychosocial risk status on changes in depressive symptoms, basic functional limitations, global pain ratings and average annual doctor visits over an 8-year period were estimated, using growth curve analyses. Analyses controlled for demographic factors (gender, marital/partner status, education, age and ethnicity), disease duration and year in the panel and time-varying self-reported symptom severity (morning stiffness, swollen joint counts, co-morbid medical conditions, extra-articular RA symptoms and changes in joint appearance), as well as self-reported medications taken over time (disease-modifying antirheumatic drugs [DMARDS], and prednisone). Overall, 32.4% of total variance in depressive symptoms was accounted for by the fully-estimated model, with 12.9% uniquely associated with psychosocial risk status. Half of the total variance (50.0%) in basic functional limitations was explained, with 12.1% of variance uniquely predicted by psychosocial risk status. Psychosocial risk status accounted for comparatively little total explained variance in global pain ratings (total = 38.6%, incremental = 3.2%), and average annual total doctor visits (total = 10.9%, incremental = 1.5%). Thus, psychosocial risk factors are more closely linked to depressive symptoms and function over time. Global pain and utilization appear to be more closely related to disease factors.     

SPSS programs for the measurement of nonindependence in standard dyadic designs

Dyadic research is becoming more common in the social and behavioral sciences. The most common dyadic design is one in which two persons are measured on the same set of variables. Very often, the first analysis of dyadic data is to determine the extent to which the responses of the two persons are correlated—that is, whether there is nonindependence in the data. We describe two user-friendly SPSS programs for measuring nonindependence of dyadic data. Both programs can be used for distinguishable and indistinguishable dyad members. Inter1.sps is appropriate for interval measures. Inter2.sps applies to categorical variables. The SPSS syntax and data files related to this article may be downloaded as supplemental materials from brm.psychonomic-journals.org/content/supplemental.     

Effects of Self-Consciousness and Social Anxiety on Self-Disclosure among Unacquainted Individuals: An Application of the Social Relations Model

Recent research has demonstrated a positive relationship between private self-consciousness and the tendency to self-disclose. These studies have relied exclusively upon self-reports of disclosure. In the present study, Kenny's Social Relations Model (Kenny & La Voie, 1984) was employed to examine the relationship between a subject's self-reports and others' reports of a subject's level of self-disclosure and the relationship of these reports to private self-consciousness, as well as the other traits measured by the self-consciousness scale: public self-consciousness and social anxiety. Unacquainted college women (N = 102) participated in one-on-one interactions in a round-robin design. Subject's self-reports of disclosure and their levels of private self-consciousness correlated positively. The partners' reports of an individual's disclosure, however, were not related to the individual's level of private self-consciousness. The discrepancy between these correlations emphasizes the necessity to ground research in personal relationships on interacting pairs and not only on the self-reports of one member. Future research that would explore this difference is discussed. The examination of the self- and partner reports and subjects' levels of public self-consciousness and social anxiety demonstrated that these two traits significantly influence the acquaintance process. Public self-consciousness related positively to subjects' beliefs that they had created consistent impressions upon their partners. Social anxiety correlated negatively with partners' reports of a subject's dyadic involvement and openness.     

Visual-motor problems of adolescents who attempt suicide.

Using the Canter Background Interference Procedure with the Bender-Gestalt Test, a group of 18 adolescent suicide attempters earned test scores indicating they had significantly more problems with visual-motor coordination than did a control group of 21 adolescents. There were also a greater number of school failures and behavior problems among these suicide attempters. The findings suggest that learning disabilities may be an unrecognized factor which increases the risk of suicide attempts by adolescents.     

Using trait–state models to evaluate the longitudinal consistency of global self-esteem from adolescence to adulthood

The present research used a latent variable trait–state model to evaluate the longitudinal consistency of self-esteem during the transition from adolescence to adulthood. Analyses were based on ten administrations of the Rosenberg self-esteem scale (Rosenberg, 1965) spanning the ages of approximately 13–32 for a sample of 451 participants. Results indicated that a completely stable trait factor and an autoregressive trait factor accounted for the majority of the variance in latent self-esteem assessments, whereas state factors accounted for about 16% of the variance in repeated assessments of latent self-esteem. The stability of individual differences in self-esteem increased with age consistent with the cumulative continuity principle of personality development.     

The common fate model for dyadic data: variations of a theoretically important but underutilized model

Studying dyads, very often there is a theoretical construct that has an effect on both members, such as relationship harmony or shared environment. To model such influences, the common fate model (CFM) is often the most appropriate approach. In this article, we address conceptual and statistical issues in the use of the standard CFM and present a series of variations, all of which are estimated by structural equation modeling (SEM). For indistinguishable dyad members (e.g., gay couples), we describe the use of a multilevel SEM method. Throughout the paper, we draw connections to the actor-partner interdependence model (APIM). We also discuss the analysis of hybrid models that combines both the CFM and the APIM. The models are illustrated using data from heterosexual couples.     

Religiosity and Quality of Life in Older Christian Women in Ireland: A Mixed Methods Analysis

Journal of Religion and Health - This study used a mixed methods approach to understand the ways in which religion and quality of life (QoL) are associated in later life in Ireland. Longitudinal...     

Decision-making competence and cognitive abilities: Which abilities matter?

Decision-making competence is a skill that is associated with numerous positive life outcomes. Even though multiple cognitive abilities have been shown to predict decision-making competence, few studies have incorporated a large test battery tapping into several cognitive abilities concurrently in the same models. The current paper presents a study that sought to investigate which cognitive abilities predicted overall decision-making competence in adults using hierarchical regression analysis. A cognitive test battery, comprising abilities such as general intelligence, executive functions, numeracy, visuospatial ability, and time perception, was administered to 182 participants. Results indicate that both general intelligence, which was consistently the strongest predictor, and numeracy contributed independently to overall decision-making competence. Executive functions did predict overall decision-making competence, while all predictors were included in the models. A novel finding concerns the relationship between time perception and decision-making competence. The complementary roles of these cognitive abilities are discussed.