درخت حوزه‌های تخصصی

We used the affective profiles model to investigate individual differences in motivation, stress and energy. The aim was to replicate past findings, but we also focused on matched comparisons within individuals with affective profiles that are similar in one affective dimension and differ in the other in order to predict changes when individuals increase/decrease their experience of positive or negative affect. Methods: <span class="fontstyle2">A total of 567 participants answered the Positive Affect and Negative Affect Schedule, which was used for affective profiling; the Situational Motivation Scale, which measures intrinsic motivation, identified regulation, external regulation, and amotivation; and the Stress-Energy questionnaire. Results: <span class="fontstyle2">Comparisons between the four different profiles, replicating the past findings, showed that individuals with high affective and self-fulfilling profile scored highest in intrinsic motivation, identified regulation, and energy, while they scored lowest in external motivation, amotivation, and the self-fulfilling profile, also lowest in stress. Additionally, the matched comparisons showed, for example, that levels of intrinsic motivation increase when negative affect levels decrease, and positive affect is kept high when positive affect decreases and negative affect is kept low. Conclusions: One important feature of the affective profiles model is the possibility to compare individuals that are similar in one affect dimension but differ in the other (Garcia, 2011, 2017). This way of discussing individual differences helps to predict what changes could be expected when individuals increase or decrease their experience of positive or negative affect. Importantly, the direction of these changes cannot be addressed from cross-sectional data

Abstract Objective: Health literacy is the capacity to get, process and realize basic information and services necessary to make proper decisions in the field of health. This study was conducted aimed at determining the relationship between health literacy and demographic variables of Yazd city citizens. Method: This study was a descriptive (cross-sectional) one the population included 385 people living in Yazd city. Data were collected using a researcher-made questionnaire whose validity and reliability were confirmed. After completing the questionnaires, the data analysis was performed using SPSS statistical software, Pearson correlation coefficient and Chi-square test. Results: the results indicate that there is a significant relationship between health literacy and age, gender and marital status. The highest correlation coefficient was observed in the relationship between health literacy and age. Conclusion: Due to the effective demographic variables, it seems that demographic characteristics-based interventions should be designed and implemented in order to improve the health literacy of citizens.

Objective: This study investigates the different motives and substance use risk profile in opium and methamphetamine use. Method: The statistical sample includes Seventy-eight individuals with substance use history referred to drop-in center (DIC) that completed research instruments including demographic information (researcher-made questionnaire), substance use motives (Hecimovic, Barrett, Darredeau, and Stewart, 2014), and substance use risk profile scale (Woicik et al., 2009). Multivariate analysis of variance utilized for data analysis based on SPSS-24. Results: The results of the MANOVA indicated that availability, relaxation, enjoying, and sexual motives are significantly higher in individuals using methamphetamine. Also, the results of the substance use risk profile represent that there are significant differences in anxiety sensitivity, sensation-seeking, and impulsivity in opium and methamphetamine use. Conclusions: Findings indicate the important role of motives and substance use risk profile in the tendency to the different types of substances. These various motives and personality risk factors should be considered in educational settings and psychological treatment for different types of substance use, especially opiate or stimulating substances.

The purpose of the present study was to predict self-efficacy of women with breast cancer based on quality of life, religious orientation, resilience, death anxiety, psychological hardiness and perceived social support. The research method was descriptive and regression type. The statistical population in this study included all patients with breast cancer referring to Cancer Institute of Imam Khomeini and Milad hospitals in Tehran in 2018. Purposeful sampling method was used to select the sample. In this way, 300 patients with breast cancer patients were selected based on the criteria for entering and leaving the research. The research tool was a general self-efficacy questionnaire of Sherer et al. (1982), multi-dimensional perceived social support questionnaire (Zimt et al., 1989), Allport Religious Orientation (1967), Kobasa Psychological Hardiness Questionnaire (1979), Templar's Death Anxiety Scale (1970) ), The Conor-Davidson Resilience Questionnaire (2003) and the World Health Organization Quality of Life Scale (1996). Regression analysis was used to analyze the data. The results of data analysis showed that factors of quality of life, religious orientation, resilience, death anxiety, psychological hardiness and perceived social support have 21% ability to predict self-efficacy. The factors of quality of life, resilience, psychological hardiness and social support with self-efficacy are positive at 5% confidence level, and the positivity of these coefficients actually indicates that increasing these factors increases self-efficacy (p <0.05). Death anxiety also has a significant negative correlation with self-efficacy (p <0.05).