The Study of Personality Characteristics and Mental Health in Addicts

Habibi, Zahra; Sadeghi, Hasan; Haghrangbar, Farrokh; Madanipour, Kobra; Azarnoosh, Amin

doi:10.1016/j.sbspro.2013.06.594

Cited by 10 publications

(14 citation statements)

References 5 publications

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“…The intervention material provided might not suited certain patients hence, may cause the slower patient's progress as a result. Habibi et al (2013) findings show that there is a significant and positive relationship between personality traits and dimensions of mental health tests. Thus, this study aims is to introduced a system that not only take the patients emotional state into account but also focus on the patients personality traits when providing intervention materials for the patients.…”

Section: Introductionmentioning

confidence: 79%

Knowledge Based Architecture for Mental Health Care System

Ahmad¹,

Shuib²,

Othman³

2018

IJISE

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It is important for experts to understand patient emotional state and personality traits to suggest intervention materials for them. Different patient might have same emotional state, but different personality; hence a tool that can help match intervention materials with the user emotional state and personality traits is needed. Intervention materials that best suit for user's personality is important as it will encourage them to follow the recommended materials. Personalization can be identified using the emotional states and personality traits. In mental health care, identifying emotional state, and matching intervention material based on personality traits, is critical for patient as it may affect their mental health condition progress and their willingness to follow the recommended materials. Therefore, it is crucial for users to be able to locate intervention material that best matches their personality traits. The objective of this paper is to develop a tool that can help retrieve intervention material based on personalization. By using a knowledge-based method, this tool will be able to help user match intervention materials that best suits their emotional state and personality. The architecture and components of the tool are discussed.

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Section: Introductionmentioning

confidence: 79%

Knowledge Based Architecture for Mental Health Care System

Ahmad¹,

Shuib²,

Othman³

2018

IJISE

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“…The most important personality types explaining addiction were types 5, 4, and 1, in sequence, which could increase the likelihood of drug addiction by more than 40 times. Previous studies have focused on the role of imbalance among personality traits such as introversion, negative affect, and particularly neuroticism in increasing the risk of drug addiction (6,11,12). Moreover, the roles of personality disorders, where there are some dominant restricting characteristics, have also been mentioned (13)(14)(15).…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, many other factors including personality traits and disorders (7,8) and the inefficient structure of service delivery systems are influential in the failure of treatment (1,9,10). Previous studies often focused on the NEO fivefactor personality model to investigate the relationship between addiction and personality traits including extroversion/introversion, positive/negative affect, neuroticism, and other components (11,12). Some studies have even utilized clinical tools such as MCMI and MMPI (13)(14)(15).…”

Section: Introductionmentioning

confidence: 99%

Is the Enneagram Personality System an Effective Approach in Explaining Drug Addiction?

Saeidi

Komasi

Amiri

et al. 2020

Middle East J Rehabil Health Stud

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Objectives: The current study aimed to investigate the relationship between enneagram personality traits and the risk of drug addiction. Methods: In this cross-sectional study, 160 participants (94 addicts and 66 non-addicts) answered the Riso-Hudson Enneagram Type Indicator (RHETI) questionnaire. Patients were selected through a multistage cluster sampling method and non-addicts were selected among the family caregivers of the patients. At the baseline, the characteristics of the two groups were analyzed using the chi-square test and independent t-test. Binary logistic regression analysis was used to conduct the main analysis. Results: After adjustment for all demographics, the results showed a significant positive relationship between all personality types, except for type 3, and drug addiction (P < 0.05). The most important types explaining drug addiction included types 5, 4, and 1, in sequence. An increase in the scores of these personality types would increase the likelihood of risk by 22.5 to 41.5 times. Conclusions: Based on the fact that the enneagram system emphasizes the balance among the nine personality patterns as the underlying indicator of health, imbalances in each of the patterns could pave the way for drug addiction. While it seems that the enneagram system is an efficient model for explaining drug addiction, future studies can be useful.

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“…Personality traits are considered as the main dimension of individual differences and a critical factor in improving patients' knowledge and the environment where the addictive behaviors are manifested (14). Temperament dimensions seem to be the most significant biological part of personality and play a critical role in exhibiting addictive behaviors; hence, personality traits are the main predictors of substance abuse behaviors (15). Young individuals account for above one-fourth of the population.…”

Section: Introductionmentioning

confidence: 99%

Predicting Addiction Susceptibility Based on Big Five Personality Traits

Zeighami

Hosseini

Mohammadi

et al. 2021

Iran J Psychiatry Behav Sci

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Background: Addiction is one of the most prominent problems and the fourth leading crisis worldwide. In Iran, this issue is more complicated because of increasing young population in this country. Objectives: This study aimed to predict addiction susceptibility regarding students’ personality traits at Qazvin universities. Methods: In this cross-sectional study, 227 students from Qazvin universities were selected using the multistage random stratified sampling method. Data collection tools were demographic information form, Addiction Susceptibility questionnaire (ASQ), and NEO personality inventory. After collecting the required data, SPSS software version 21 was used to analyze the data by running variance analysis and paired sample t-test. Results: In this study, neuroticism (P = 0.031) and openness (P = 0.043) with regression coefficients of 0.584 and 0.586 had positive and significant effects on addiction susceptibility, respectively. In contrast, extraversion (P = 0.023), agreeableness (P = 0.038), and consciousness (P < 0.001) with regression coefficients of -0.639, -0.186, and -1.342 had negative and significant effects on addiction susceptibility, respectively. Conclusions: The findings revealed a significant relationship between personality traits and addiction susceptibility. Accordingly, the aforementioned psychological traits must be empathized in educational, preventive, and therapeutic programs so that the vulnerable groups, including students, would receive some help.

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The Study of Personality Characteristics and Mental Health in Addicts

Cited by 10 publications

References 5 publications

Knowledge Based Architecture for Mental Health Care System

Knowledge Based Architecture for Mental Health Care System

Is the Enneagram Personality System an Effective Approach in Explaining Drug Addiction?

Predicting Addiction Susceptibility Based on Big Five Personality Traits

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