Emotional Intelligence, Motivation and Dysfunctional Attitude among Patients with Substance Use: Cognitive Behavior Therapy

Irum Naz; Anam Naz

Authors

Irum Naz Department of PsychologyUniversity of Gujrat
Anam Naz Department of PsychologyUniversity of Gujrat

Keywords:

Substance Use, Emotional Intelligence, Motivation, Dysfunctional Attitude, Cognitive Behavior Therap.

Abstract

The study explores the significant predictive relationship between emotional intelligence, motivation, and dysfunctional attitude among substance use patients with the role of cognitive behavior therapy. The sample was comprised of 150 addictive patients. Among 150 patients, 40 were selected for intervention. The sample was divided into two groups of 20 each in the experimental and controlled groups. Participants were selected using a purposive sampling technique from Poly Clinic Jhelum, Punjab, Pakistan. To estimate the constructs following scales were used Trait Emotional Intelligence Questionnaire-Short Form Scale, Situational Motivation Scale, Dysfunctional Attitude Scale Short Form and Drug Abuse Screening Test all in Urdu. Patients with a high level of dysfunctional attitude were selected for intervention. For each participant, 12 sessions were planned. The statistical calculations were done using Statistical Package for Social Sciences(V-26). Regression analysis confirmed that emotional intelligence and motivation is a significant predictors of dysfunctional attitudes in substance used patients [R²=.066; F (2, 147) = 5.198, p<.01] with 6.6% explained variation in the dysfunctional attitude due to emotional intelligence and motivation. The effectiveness of cognitive behavior therapy was also evident with the experimental groups mean score of emotional intelligence (M=78.6, M = 169.00), motivation (M=58.1, M = 92.10) and dysfunctional attitude (M=61.1, M = 26.00) pre and posttest scores. It indicates that Cognitive Behavior Therapy was effective in the treatment of drug addicts to deal with lower levels of motivation and emotional intelligence as well as higher dysfunctional attitudes.

For emotional intelligence, results showed that there is change in mean score of experimental groups (M=78.6, M = 169.00) For motivation, results showed that there is change in mean score of experimental groups (M=58.1, M = 92.10). For dysfunctional attitude, results showed that there is change in mean score of experimental groups (M=61.1, M = 26.00) which indicate that Cognitive Behavior Therapy was effective in treatment of drug addicts to deal with lower levels of motivation and emotional intelligence as well as higher dysfunctional attitude.

References

“UNODC World Drug Report 2021: pandemic effects ramp up drug risks, as youth underestimate cannabis dangers,” 2021.

Substance Abuse and Mental Health Services Administration(SAMHSA), “Key Substance Use and Mental Health Indicators in the United States: Results from the 2020 National Survey on Drug Use and Health,” HHS Publ. No. PEP19-5068, NSDUH Ser. H-54, vol. 170, pp. 1–62, 2021.

American Psychiatric Association, “Diagnostic and Statistical Manual of Mental Disorders,” Mar. 2013, doi: 10.1176/APPI.BOOKS.9780890425787.

K. P. Leite, F. D. M. P. Martins, A. P. Trevizol, J. R. D. S. Noto, and E. Brietzke, “A critical literature review on emotional intelligence in addiction,” Trends psychiatry Psychother., vol. 41, no. 1, pp. 87–93, Jan. 2019, doi: 10.1590/2237-6089-2018-0002.

J. R. Lindner, “Understanding Employee Motivation.,” J. Ext., vol. 36, no. 3, 1998.

A. Opsal, Ø. Kristensen, and T. Clausen, “Readiness to change among involuntarily and voluntarily admitted patients with substance use disorders,” Subst. Abus. Treat. Prev. Policy, vol. 14, no. 1, pp. 1–10, Nov. 2019, doi: 10.1186/S13011-019-0237-Y/TABLES/3.

S. Horiuchi, S. Aoki, K. Takagaki, and F. Shoji, “Association of perfectionistic and dependent dysfunctional attitudes with subthreshold depression,” Psychol. Res. Behav. Manag., vol. 10, pp. 271–275, Aug. 2017, doi: 10.2147/PRBM.S135912.

E. Nasrazadani, J. Maghsoudi, and T. Mahrabi, “The relationship of social problem-solving skills and dysfunctional attitudes with risk of drug abuse among dormitory students at Isfahan University of Medical Sciences,” Iran. J. Nurs. Midwifery Res., vol. 22, no. 4, pp. 276–279, 2017, doi: 10.4103/ijnmr.IJNMR_58_16.

K. M. Carroll, C. Nich, E. E. DeVito, J. M. Shi, and M. Sofuoglu, “Galantamine and Computerized Cognitive Behavioral Therapy for Cocaine Dependence: A Randomized Clinical Trial,” J. Clin. Psychiatry, vol. 79, no. 1, Jan. 2018, doi: 10.4088/JCP.17M11669.

K. V. Petrides, “Trait Emotional Intelligence Questionnaire (TEIQue),” Tech. Man. Trait Emot. Intell. Quest. (TEIQue)., 2009.

J. Grandgirard, D. Poinsot, L. Krespi, J. P. Nénon, and A. M. Cortesero, “Costs of secondary parasitism in the facultative hyperparasitoid Pachycrepoideus dubius: Does host size matter?,” Entomol. Exp. Appl., vol. 103, no. 3, pp. 239–248, 2002, doi: 10.1023/A.

C. G. Beevers, D. R. Strong, B. Meyer, P. A. Pilkonis, and I. W. Miller, “Efficiently Assessing Negative Cognition in Depression: An Item Response Theory Analysis of the Dysfunctional Attitude Scale,” Psychol. Assess., vol. 19, no. 2, pp. 199–209, 2007, doi: 10.1037/1040-3590.19.2.199.

H. A. Skinner, “The drug abuse screening test,” Addict. Behav., vol. 7, no. 4, pp. 363–371, 1982, doi: 10.1016/0306-4603(82)90005-3.

P. M. Monti, R. M. Kadden, D. J. Rohsenow, N. L. Cooney, and D. B. Abrams, “Treating alcohol dependence: A coping skills training guide (2nd ed.),” pp. 196–xii, 196, 2002.

J. Frost, “How High Does R-squared Need to Be? - Statistics By Jim,” 2017.

O. Dimitriu and M. Negrescu, “Emotional Intelligence and the Tendency to Use Dysfunctional Cognitive Schemas,” Procedia - Soc. Behav. Sci., vol. 187, pp. 301–306, 2015, doi: 10.1016/j.sbspro.2015.03.056.

A. Tehranchi, H. T. Neshatdoost, S. Amiri, and M. Power, “Analysis of Emotions and Dysfunctional Attitudes in Depression,” Jpn. Psychol. Res., vol. 61, no. 3, pp. 166–178, Jul. 2019, doi: 10.1111/JPR.12220.

L. Shaul, M. Blankers, M. W. J. Koeter, G. M. Schippers, and A. E. Goudriaan, “The Role of Motivation in Predicting Addiction Treatment Entry Among Offenders With Substance Use Disorders Under Probation Supervision,” Int. J. Offender Ther. Comp. Criminol., vol. 63, no. 14, pp. 2453–2465, Oct. 2019, doi: 10.1177/0306624X19849554.

T. J. Starks et al., “Pilot Randomized Controlled Trial of Motivational Interviewing with Sexual Minority Male Couples to Reduce Drug Use and Sexual Risk: The Couples Health Project,” AIDS Behav., vol. 26, no. 2, pp. 310–327, Feb. 2022, doi: 10.1007/S10461-021-03384-9.

Z. Karimi, L. Haghshenas, T. Mohtashami, and M. A. Dehkordi, “Investigating the role of attachment styles, dysfunctional attitudes, and spirituality in predicting membership in addicted and non-addicted groups,” PsyCh J., vol. 8, no. 2, pp. 169–179, Jun. 2019, doi: 10.1002/PCHJ.254.

G. Yiǧitoǧlu and G. Keskin, “Relationship between dysfunctional beliefs and stress coping methods in drug-addicted patients: A sample of Turkey,” Indian J. Psychiatry, vol. 61, no. 5, p. 508, Sep. 2019, doi: 10.4103/PSYCHIATRY.INDIANJPSYCHIATRY_285_17.

M. Parolin et al., “Drug addiction and emotional dysregulation in young adults,” Heroin Addict. Relat. Clin. Probl., vol. 19, no. 3, pp. 37–48, 2017.

A. Hanani, M. Badrasawi, S. Zidan, and M. Hunjul, “Effect of cognitive behavioral therapy program on mental health status among medical student in Palestine during COVID pandemic,” BMC Psychiatry, vol. 22, no. 1, pp. 1–12, 2022, doi: 10.1186/s12888-022-03915-1.

S. Oveisi, L. A. R. Stein, E. Babaeepour, and M. Araban, “The impact of motivational interviewing on relapse to substance use among women in Iran: a randomized clinical trial,” BMC Psychiatry, vol. 20, no. 1, Apr. 2020, doi: 10.1186/S12888-020-02561-9.

A. Copley, “A critical evaluation of Miller and Rollnick ’ s Motivational Interviewing as an approach for working with substance misuse,” Irish J. Couns. Psychother., vol. 18, no. 2, 2018.