Sexual Self-Esteem and Perfectionism in Women With and Without Overweight

The purpose of this study was to examine sexual self-esteem and perfectionism among Iranian women with and without overweight based on the role of age and education; and to investigate the relationships of sexual self-esteem, perfectionism, and body mass index in a sample of adult women. Participants were 200 women with and without overweight who were selected following a purposive sampling method from Shiraz City, Iran. A demographic questionnaire, Sexual Self-Esteem Inventory for Women (SSEI-W), and Perfectionism Inventory (PI) were used. Resulting data showed that women without overweight had higher total scores of sexual self-esteem and on the WWEI-W subscale of attractiveness compared with women who are overweight. Also, women who are overweight had higher total scores of perfectionism, as well as higher scores on subscales of interpersonal sensitivity and high standards for others compared to women without overweight. There was no significant effect for age and educational level on sexual self-esteem and perfectionism. The results demonstrated significantly negative relationships between overall sexual self-esteem, attractiveness subscale of sexual self-esteem, and body mass index. Also, the overall perfectionism and interpersonal sensitivity, striving for excellence, organization, and standards for others subscales of perfectionism had a significant positive relationship to the body mass index.     

Psychometric Properties of a Persian Version of the SpREUK-P Questionnaire: An Instrument for Measuring the Importance and Frequency of Spiritual/Religious Practices in Iranian Patients with Chronic Gastrointestinal Diseases

Journal of Religion and Health - Attention to spiritual and religious issues is considered an important therapeutic method for patients with chronic disorders. This study aimed to assess the...     

Transcendence,the Most Important Spiritual Need of Muslim Older Adults: A Content Analysis Study

Journal of Religion and Health - Healthcare providers agree that promoting spirituality among older adults while caring for them increases their quality of life. However, there is little knowledge...     

Learning representation hierarchies by sharing visual features: a computational investigation of Persian character recognition with unsupervised deep learning

In humans, efficient recognition of written symbols is thought to rely on a hierarchical processing system, where simple features are progressively combined into more abstract, high-level representations. Here, we present a computational model of Persian character recognition based on deep belief networks, where increasingly more complex visual features emerge in a completely unsupervised manner by fitting a hierarchical generative model to the sensory data. Crucially, high-level internal representations emerging from unsupervised deep learning can be easily read out by a linear classifier, achieving state-of-the-art recognition accuracy. Furthermore, we tested the hypothesis that handwritten digits and letters share many common visual features: A generative model that captures the statistical structure of the letters distribution should therefore also support the recognition of written digits. To this aim, deep networks trained on Persian letters were used to build high-level representations of Persian digits, which were indeed read out with high accuracy. Our simulations show that complex visual features, such as those mediating the identification of Persian symbols, can emerge from unsupervised learning in multilayered neural networks and can support knowledge transfer across related domains.     

Personal and situational variables, and career concerns: predicting career adaptability in young adults

This study examined relationships among career adaptability and career concerns, social support and goal orientation. We surveyed 304 university students using measures of career concerns, adaptability (career planning, career exploration, self-exploration, decision-making, self-regulation), goal-orientation (learning, performance-prove, performance-avoid) and social support (family, friends, significant others). Multiple regression analysis revealed career concerns, learning and performance-prove goal orientations emerged relatively as the most important contributors. Other variables did not contribute significantly.     

Emerging research on intergroup prosociality: Group members' charitable giving,positive contact,allyship, and solidarity with others

This paper describes an emerging body of work on intergroup prosociality, drawing together parallel literatures and highlighting some of the themes of the recent research. A broad distinction between benevolence and activism serves as the foundation to explore forms of intergroup prosociality, such as charitable giving, displays of empathy and affirmation (positive and supportive contact), allyship, and solidarity. Gaps and implications for future research are discussed. For example, we propose that it may be useful to distinguish allyship, defined as advocacy for others motivated by the values and norms of the ingroup for its own ends, from solidarity, defined as advocacy on behalf of others from the perspective of a shared, inclusive group. We propose that articulating the similarities between these various forms of intergroup prosociality, and testing the differences, will be a useful direction of future research.     

How the behavioral approach system predicts everyday life outcomes

This study tested crucial components of Gray's reinforcement sensitivity theory that have generally been overlooked in the literature. We tested whether the perceived amount of reward moderates the behavioral approach system (BAS) and the importance of reward mediates BAS in the prediction of job satisfaction and organizational commitment. Results from 514 participants employed in part-time and full-time jobs provided support for our model, such that the indirect effect of BAS through the importance of reward was strongest when reward was provided. This model advances our understanding of reinforcement sensitivity theory and offers a solid foundation for predicting outcomes in everyday life.     

Validation of Iranian Version of FI-QOL Scale in Patients with Fecal Incontinence

Pelvic floor dysfunction is a general public health problem with great impact on quality of life. Inability to control the passage of stool can produce embarrassment and may limit daily activities. One of the most important indicators of effectiveness of therapy in patients with fecal incontinence (FI) can be patient’s quality of life. Therefore, a well-constructed questionnaires studying quality of life is necessary. The objective of this study was to assess the Iranian version of Fecal Incontinence Quality of Life Scale in a hospital-based study on patients with FI. Two hundred women were recruited in the study. One group included patients with FI (n = 100) and the control group (n = 100) included patients with any gastrointestinal (GI) problems except FI. The Persian version of fecal incontinence quality of life scale completed by two groups. The FI patients completed the SF-36 questionnaire too. Reliability and validity of questionnaire were evaluated by Cronbach’s alpha, test/retest using correlation analysis, Intraclass correlation coefficient, paired t-test, and analysis of variance. There was not any significant differences between two groups for age, marital status, education, and occupation. The mean age of FI patients and controls were 42.6 (±13.3) and 44.5 (±15.0) respectively. Cronbach’s-α for all domains ranged between 0.72 and 0.92. All scales showed significant correlation between the test and retest administration of questionnaire. The FI patients had lower scores than the controls for all domains adjusted for gender. All correlations between six selected domains of Sf-36 scales and FIQL scales were significant at P ≤ 0.05 levels. The Persian version of FIQL had a good validity and reliability and can be used for accurate measure of quality of life in FI patients.