Investigate the prevalence and contextualize the relationship of impostor phenomenon (IP) and ambiguity tolerance (AT) in practicing physical therapists (PTs).
Online survey including demographic questions, Clance Impostor Phenomenon Scale (CIPS), and Tolerance of Ambiguity Scale (TAS).  Descriptive analyses assessed (N = 422) demographic data, CIPS, and TAS scores. Chi-square tests determined distribution across demographic variables.  Kruskal-Wallis tests assessed differences between CIPS and TAS.  Age was a proxy for career stage in Pearson product-moment correlations to assess relationships between CIPS and TAS.
In practicing PTs (M age = 42.12, SD = 12.34), moderate (48.6%; n = 205) to frequent (26.8%; n = 113) IP feelings were prevalent, but only 31.5% (n = 133) were true impostors.  Significant differences exist in clinical experience for CIPS, H(7, n = 422) = 67.82, p <.001 and TAS, H(7, n = 422) = 21.79, p= .003. Most PTs tolerate ambiguity (M = 54.93, SD = 8.19).  A moderate negative correlation between age and CIPS, r = -.36, p <.001 and a small negative correlation between age and TAS, r=-.19, p <.001 exists. Age accounts for 13% of the variance per IP and 3.6% variance per TAS score.  A small positive relationship exists between CIPS and TAS, r = .10, p <.05.
Practicing PTs experience moderate to frequent IP and are ambiguity tolerant.  Clinical experience is inversely related to IP and AT.  Almost half of early-career PTs feel like impostors, which can lead to decreased job satisfaction, burnout, psychological distress, feelings of self-doubt, and depression.

Although the risk-taking can potentially result in positive and negative outcomes, most of the researchers focused on its negative, not positive manifestations. Recently, Duell and Steinberg proposed a framework that clarifies the features of positive risk-taking. Research comparing positive and negative risk-taking increased and new measures have been developed. The presented study was designed to examine how the construct of positive risk-taking differs or overlaps with its opposite, negative risk-taking, and whether both are predicted by the same or different factors. Two hundred fifty eight (258) adolescents and young adults (aged 16-29) participated in the study. We tested self-reported sensitivity to reward and punishment, self-control, tolerance to ambiguity, trait anxiety, and gender as possible predictors of positive and negative risk-taking. We also referred both types of risk-taking to domain-specific risk-taking. We found that positive risk-taking is driven by sensitivity to reward and tolerance to ambiguity, and occurs especially in the social domain. Negative risk-taking is driven by gender, sensitivity to reward and (low) sensitivity to punishment, and occurs in all domains except social. Results indicate that positive risk-taking is chosen for exploration and personal growth by people who look for rewards in the social world and is done in a socially accepted way. Negative risk-taking is chosen by people who are not discouraged by severe negative effects and look for rewards outside existing norms.

UNASSIGNED: Personality has been recognized as a key variable in the prediction of treatment adherence and health care behaviors in patients living with chronic diseases.
UNASSIGNED: In order to contribute to the prediction of treatment-adherence behaviors among HIV-positive patients, this study aimed to test the metric properties of the 12-item Stress-Related Situations Scale (SRSS-12), which assesses four interactive styles of personality related to stressful situations when receiving treatment for a chronic disease.
UNASSIGNED: This cross-sectional study was performed with a nonprobability sampling between May and June 2016. The SRSS-12 was fulfilled by 186 out of 400 HIV-positive patients receiving attention through the regional program for HIV -sexually transmitted diseases control in the State of Lara, Venezuela (sample proportion =0.465). The participants were young adults (X=34.9 years), predominantly men (80.1%), and single (76.3%). Data analysis included exploratory factor analysis and confirmatory factor analysis, assessment of internal consistency, and description of distributions.
UNASSIGNED: The exploratory factor analysis yielded a three-factor structure: Tolerance to Frustration and Ambiguity, Follow-up of Instructions and Impulsivity, and Decision Making. Through confirmatory factor analysis, this model showed an acceptable fit to the data. The three factors showed convergent and discriminant validity and internal consistency from acceptable to high. The factor scores did not follow a normal distribution.
UNASSIGNED: The three-factor model for the SRSS-12 showed validity and internal consistency among Venezuelan HIV-positive patients. Scaled scores for factors can be developed using percentile scores.

Nurses are full partners with other health care professionals. Until fairly recently the scope of nurses potential in entrepreneurship has not been widely recognized. The present study tries to evaluate entrepreneurship psychological characteristics among nurses. The survey instrument included scales measuring entrepreneurship psychological characteristics including locus of control, need for achievement, risk taking propensity, ambiguity tolerance, and innovation, among nurses in the Shahid Sadoughi Hospital, Yazd, Iran in 2013. In this study average of entrepreneurship psychological characteristics of nurses which are higher than standard mark. The majority of the nurses have average entrepreneurship (20.4%). It means that they have some strong entrepreneurship. The result show that average of the need for achievement is 34.5%, the locus of control 33.8%, risk taking propensity 33.2%, ambiguity tolerance 34.2%, and innovation 41.6%. The results indicate that the 4 dimensions of the need for achievement, risk taking, Ambiguity Tolerance, and Innovation were significant. However, the locus of control is not significant at a 0.05 significance level. In terms, entrepreneurially nurses are comparatively more innovative, have risk taking attitudes, need for achievement, Ambiguity Tolerance, and Innovation. Results largely support significant positive relationships between psychological traits and entrepreneurial orientations.