Parisa Pakseresht; Afshin Salahian; Maryam Mohammadi; mahshid mohammadi
Abstract
Personality disorders can play a significant role in creating and perpetuating sexual function problems in women. Therefore, the present study was conducted to investigate the relationship between personality patterns and types of female orgasms. The method of the present study was correlational, and ...
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Personality disorders can play a significant role in creating and perpetuating sexual function problems in women. Therefore, the present study was conducted to investigate the relationship between personality patterns and types of female orgasms. The method of the present study was correlational, and a sample of 400 women in Tehran was selected by convenience sampling method. Tests used to collect data were Millon 3 questionnaires (MCMI-III), Women's Sexual Function Questionnaire (FSFI), and Orgasm Scale Assessment (ORS). According to the results, the highest disorder was related to the satisfaction subscale, and the lowest percentage of the research sample was in the orgasm subscale (25.9%) in the subscales of desire, arousal, humidity, and pain, respectively. The percentage of the research sample was 31, 32, 26.3, and 31.4%. According to the results, the narcissism and negativity subscales had a significant relationship with the types of orgasm (P <0.05) and the other subscales had no significant relationship. According to the results of logistic regression, avoidance, sadism, and borderline subscales were able to predict the types of orgasms and the coefficients of other paths in the regression model did not have significant coefficients (P <0.05).
Fatemeh Bayanfar
Abstract
Objective: The present study aimed to predict corona disease anxiety among medical staff in Tehran based on five-factor theory of personality. Method: In the present descriptive and correlational study, the statistical population included all medical staff in Tehran in 2020, among which 210 physicians, ...
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Objective: The present study aimed to predict corona disease anxiety among medical staff in Tehran based on five-factor theory of personality. Method: In the present descriptive and correlational study, the statistical population included all medical staff in Tehran in 2020, among which 210 physicians, nurse, and other medical staffs were selected based on snowball sampling method. The instruments included Neo-Five Factor Inventory (NEO-FFI), Corona Disease Anxiety Scale (CDAS). Data were analyzed using Pearson’s correlation and Multiple Regression Analysis. Findings: Regression analysis indicated significantly Beta coefficients for openness personality traits (-0.238) and conscientiousness personality traits (-0.249). a statistically significant correlation is observed between openness (39%), neuroticism (-39%), extraversion (37%), conscientiousness (34%), and agreeableness (25%) with coronavirus anxiety at the 99% confidence level. Further, the correlation between each of the dimensions and the mental component of coronavirus anxiety is more compared to that of physical one. Conclusion: Based on the results of multiple regression analysis, the micro-components of openness and conscientiousness could predict the level of total coronavirus anxiety. Considering standard coefficients, conscientiousness plays a more important role in predicting the level of total coronavirus anxiety in medical staffs, which decreases by increasing openness and conscientiousness. Medical staff who are higher in openness and conscientiousness personality traits are lower in corona disease anxiety.
Danilo Garcia; Erica Schütz; Erik Lindskär; Fernando Renee González Moraga; Trevor Archer; Kevin Cloninger; Ali Al Nima
Volume 1, Issue 2 , December 2018, , Pages 9-24
Abstract
Abstract Aims: We investigated gender differences among adolescents in quality of sleep, psychophysiological problems, dream frequency, emotional states, and personality traits and also if the effect of quality of sleep on psychophysiological problems, dream frequency, emotional states, and personality ...
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Abstract Aims: We investigated gender differences among adolescents in quality of sleep, psychophysiological problems, dream frequency, emotional states, and personality traits and also if the effect of quality of sleep on psychophysiological problems, dream frequency, emotional states, and personality traits was moderated by gender. Method: High school pupils (n1 = 155, n2 = 142, and n3 = 325) responded to the Uppsala Sleep Inventory, the Positive Affect Negative Affect Schedule, Beck’s Depression Inventory, the Type A-Personality Scale, and the Temperament and Character Inventory. Gender differences were investigated using Multivariate Analyses of Variance and moderation using multi-group Structural Equation Modeling. Results: Girls scored higher in major sleep problems, difficulties falling asleep, night awakenings, psychophysiological problems, dream frequency, negative affect, depression, stress, and Type A-personality. Boys scored higher in novelty seeking, harm avoidance, and persistence. Girls’ quality of sleep was related to their psychophysiological problems, dream frequency, positive affect, negative affect, stress, novelty seeking, reward dependence, persistence, and self-directedness. Boys’ quality of sleep was related to their psychophysiological problems, negative affect, stress, Type A-personality, novelty seeking, harm avoidance, reward dependence, and self-directedness. Conclusion: Girls showed the unhealthiest sleep-psychophysiological-emotional-personality profile. For both genders, good quality of sleep or “beauty sleep” might result in less psychophysiological problems, less negative affect, less stress, less novelty seeking, and less self-directedness. However, for boys, “sleeping beauty” comprises less Type A-behaviour, less harm avoidance, and more reward dependence; while for girls “sleeping beauty” comprises less frequency of vivid dreams, more positive affect, less reward dependence, and more persistent behaviour.
