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 Table of Contents    
ORIGINAL ARTICLE
Year : 2017  |  Volume : 39  |  Issue : 2  |  Page : 169-175  

Personality profile and short-term treatment outcome in patients with alcohol dependence: A study from South India


1 Department of Clinical Neurosciences, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
2 Department of Psychiatry, Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
3 Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA

Date of Web Publication28-Mar-2017

Correspondence Address:
Pratima Murthy
Department of Psychiatry, Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bengaluru - 560 029, Karnataka
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0253-7176.203127

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   Abstract 

Background: Studying personality profiles allows researchers to generate important hypotheses in risk factors and correlates of alcohol use/misuse. Studies examining the association between personality traits and treatment outcome are limited in India. We studied the correlation between personality and treatment outcome in patients with alcohol dependence. Methods: Adult participants with alcohol dependence were recruited from the inpatient and outpatient wards of de-addiction unit of a tertiary care facility in India using a prospective design and followed up after 3 months. Questionnaires administered were revised NEO personality inventory (NEO-PI-R), alcohol use disorders identification test, and advanced warning of alcohol relapse (AWARE). Results: Out of 99 recruited participants (92% males) with mean age of 37 (±8.36) years, 82 (82.8%) patients were followed up to 3 months. E4 (activity) facet of the extraversion domain in the NEO-PI-R significantly correlated with the baseline drinking scores (r = 0.204, P = 0.042, n = 99) and AWARE scores (r = 0.276, P = 0.043, n = 54). There was a significant negative correlation between the E2 (gregariousness) facet and satisfaction with life scores (r = −0.211, P = 0.036, n = 99). Age at first drink was significantly lower among relapsers (P = 0.021). Conclusion: Our study suggests that factors related to extraversion, specifically, high activity might be associated with higher drinking as well as higher risk of alcohol relapse. Predicting alcohol relapse by studying the personality traits would help clinicians in improving treatment outcomes.

Keywords: Alcohol dependence, extraversion, personality, relapse, revised NEO personality inventory


How to cite this article:
Soundararajan S, Narayanan G, Agrawal A, Murthy P. Personality profile and short-term treatment outcome in patients with alcohol dependence: A study from South India. Indian J Psychol Med 2017;39:169-75

How to cite this URL:
Soundararajan S, Narayanan G, Agrawal A, Murthy P. Personality profile and short-term treatment outcome in patients with alcohol dependence: A study from South India. Indian J Psychol Med [serial online] 2017 [cited 2019 Dec 10];39:169-75. Available from: http://www.ijpm.info/text.asp?2017/39/2/169/203127


   Introduction Top


Globally, alcohol causes 4% of all deaths and contributes 5% to the global burden of disease.[1] Alcohol consumption has increased globally over years and India being one of the most populous countries contributes significantly to the alcohol-attributable burden.[2] Among 15–49-year-old men in India, the prevalence of daily and weekly use of alcohol is 9.4% and 26.7%, respectively.[3] Alcohol is attributed for 17% of the neuropsychiatric disorders among men in India.[2]

Alcohol use disorders (AUDs) are viewed as chronic remitting conditions. Studies indicate that about 80% of patients relapse within a year of detoxification.[4] Among patients under treatment, it is important to examine the factors that contribute to relapse. Sociodemographic factors such as living alone,[5] low socioeconomic status,[6] family history of alcoholism,[7] and psychosocial stressors [7] have been associated with increased risk for relapse. Aspects such as religion,[8] taking part in self-help groups,[9] and proper follow-up visits [10] tend to reduce relapse risk. Identifying specific factors contributing to relapse could pave way for optimizing treatments at the individual level.

Personality traits have found to predict treatment outcome in diseases such as obesity,[11] hyperopia,[12] and various surgical treatments.[13] In psychiatry, personality traits have been linked to depression,[14] schizophrenia,[15] and withdrawal severity in substance dependence.[16] With regard to alcoholism, the “novelty seeking” trait has been found to predict relapse in alcohol-dependent males and “harm avoidance” trait predicted early relapse in females.[17] Alcohol dependence has been associated with higher neuroticism scores and lesser conscientiousness scores.[18] In a longitudinal study, extraversion at 14 years of age predicted alcohol dependence at 30 years of age.[19]

In the Indian context, Chaudhury et al.[20] studied psychological aspects in alcohol-dependent individuals and showed that they had significantly high neuroticism, extroversion, anxiety, depression, and psychopathic deviation and significantly low self-esteem as compared to normal control subjects. However, there are no Indian studies to our knowledge correlating personality traits and alcohol dependence with particular reference to treatment outcome.


   Methods Top


Adult participants with alcohol dependence diagnosed by Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition (DSM-IV) were recruited from the inpatient and outpatient wards of a tertiary care de-addiction facility in India. From the participants who met the inclusion/exclusion criteria, sociodemographic data were obtained in the first visit. Data included age, gender, education and employment status, marital status, satisfaction with life (SWL), age at first drink, and smoking history. The study was designed to prospectively re-assess the participants at the end of 3 months.

All patients received treatment as usual during this time. This includes pharmacological and psychosocial interventions provided by a multidisciplinary team. Pharmacological treatment was standard detoxification regimen, followed by anticraving measures and multivitamin supplements as prescribed by trained psychiatrists. At the completion of 3 months follow-up, patients were assessed for relapse/abstinence from alcohol. We defined relapse as any drink in the past 3 months and abstinence as continuous abstinence from any alcoholic beverage after the recruitment.

Measures

Questionnaires administered at baseline were revised NEO personality inventory (NEO-PI-R), SWL, mini-international neuropsychiatric interview (MINI), and alcohol use disorders identification test (AUDIT). At 3 months, patients were followed up by direct/phone interview and assessed for relapse/abstinence. Advanced warning of alcohol relapse (AWARE) scores were obtained.

NEO-personality inventory-revised

NEO-PI-R is the most often used tool to measure personality according to the five-factor model.[21] It has five major domains which have six facets each. Alphas for the domains range from 0.86 to 0.92 for self-report [Table 1].
Table 1: Revised NEO personality inventory domains and facets

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Mini-international neuropsychiatric interview

The MINI is a short-structured clinical interview which enables researchers to make diagnoses of psychiatric disorders according to the DSM-IV.

The alcohol use disorders identification test

AUDIT is a method of screening for excessive drinking developed by the WHO. Grading is done based on the scores obtained.

Advance warning of relapse

AWARE scores are a reliable and valid predictor of relapse occurrence.[22],[23] It is a 28-item questionnaire assessing the warning signs of relapse, and the scores give out the probability of drinking in next 2 months based on whether they were drinking/abstinent in the last two months.[23]

Statistical analysis

Statistical analysis was done using R software (http://www.r-project.org/). Spearman correlation was used for testing correlations. Chi-square test was used for analyzing the difference among relapsers and abstainers.


   Results Top


There were 99 recruited participants with mean age 37 (±8.42) years. Fifty-four patients came for follow-up up to 3 months, and the AWARE scores were obtained from them. Telephonic interviews were attempted for those who lost follow-up. Thus, 3-month follow-up information was available for a total of 82 (82.8%) patients, of whom three died due to alcohol-related complications and 34 maintained abstinence. We considered the 17 patients who lost follow-up and could not be interviewed through phone as relapsers. We excluded the three patients who died of alcohol-related complications from the study.

Ninety-two percent of our participants were male. Majority (81.25%) were married. Alcohol use duration, body mass index, smoking scores measured as Fagerstrom test for nicotine dependence, and SWL did not predict abstinence/relapse at 3-month follow-up [Table 2]. Family history of alcoholism was available for 85 patients, and among them, 63.53% had a positive family history. Among the 8 females included in the baseline, one died, 4 relapsed, and 3 remained abstinent. Females who relapsed had lesser age at first drink and later age of presentation when compared with females who maintained abstinence in follow-up.
Table 2: Comparison of abstainers versus relapsers

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Among our study group, there was a significant difference between the relapsers and abstainers (P = 0.005) with regard to the socioeconomic status. Majority belonged to the lower class (67.71%), among whom 67.69% relapsed. All three patients who had current diagnosis of social anxiety disorder relapsed (P = 0.025), and 60% of patients with moderately high suicidal thoughts relapsed (P = 0.006). The mean age at first drink among relapsers was 20.13 (±4.62) and was significantly lower compared to the mean age at first drink of abstainers (P = 0.021).

In our study group, there was no significant difference in NEO-PI-R domain and facet scores between relapsers and abstainers [Table 3] and [Table 4]. E4 (activity) facet of the extraversion domain in the NEO-PI-R significantly correlated with the baseline drinking scores (r = 0.204, P = 0.042, n = 99) and AWARE scores (r = 0.276, P = 0.043, n = 54) [Figure 1] and [Figure 2]. There was a significant negative correlation between the E2 (gregariousness) facet and SWL scores (r = −0.211, P = 0.036, n = 99). There was no significant personality traits associated with the dropouts.
Table 3: Revised NEO personality inventory T-scores - -relapsers versus abstainers

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Table 4: Revised NEO personality inventory domain and facet scores – relapsers versus abstainers

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Figure 1: Correlation between E4 (activity) domain and alcohol use disorders identification test scores

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Figure 2: Correlation between E4 (activity) domain and advanced warning of alcohol relapse scores

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   Discussion Top


Although personality factors have been well correlated with substance use,[18],[24] studies linking personality and treatment outcomes are scarce, especially with regard to AUDs. In this context, we examined the relation between personality domains based on the big five model, with the treatment outcomes in treatment-seeking alcohol-dependent patients.

Earlier studies established a correlation between problem drinking and the personality domains, especially with the extraversion.[18] In our study, after controlling for age, gender, age at first drink, SWL, smoking, marital status, and socioeconomic status, E4 facet (activity) of the extraversion domain correlated significantly with the baseline AUDIT scores (r = 0.204, P = 0.042, n = 99) and AWARE scores (r = 0.276, P = 0.043, n = 54). This suggests that people who score high on extraversion tend to be more involved in drinking. Higher risk for relapse as measured by AWARE scores might be associated with the severity of initial drinking. However, in our study group, the correlation between the baseline AUDIT scores and follow-up AWARE scores was not significant (r = 0.138, P = 0.320, n = 54). Thus, the risk for relapse appears to be associated with higher activity facet of the extraversion domain rather than the heavy drinking at the baseline.

The increased risk for relapse among people who have impulsive suicidal attempts in the past has been documented.[25] Among our study group, 3/5 patients who had moderately high suicidal ideations relapsed. Social anxiety disorder is an important comorbid illness often found among alcohol-dependent patients. Over one-third of the patients diagnosed with social phobia have AUDs in their lifetime.[26] In our population, all three patients with social phobia at baseline relapsed at 3 months. Therefore, attention should be given to those people with the past suicidal ideations and comorbid social phobia when treating for alcohol dependence.

There was a significant negative correlation between the SWL scores and the E2 (gregariousness) facet (r = −0.211, P = 0.036, n = 99). Thus, among people with alcohol dependence, it can be construed that people who tend to be more sociable and less satisfied with their lives tend to cope up with substances. There was a significant difference in the age at first drink among relapsers and abstainers with relapsers having lesser age at first drink.


   Conclusion Top


Our study suggests that factors related to extraversion, specifically, high activity might be associated with higher involvement in drinking as well as higher risk for early relapse. Our study also suggests that substance use could be one of the ways of coping up among people who are more sociable people and yet less satisfied with their lives. People with comorbid social anxiety disorders and suicidal ideations should be given more focus as they tend to relapse to alcohol. Our study also suggests that earlier the age of first drink, higher is the relapse risk. This has important implications for alcohol control policies and tailoring treatment needs for the patients.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

 
   References Top

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    Figures

  [Figure 1], [Figure 2]
 
 
    Tables

  [Table 1], [Table 2], [Table 3], [Table 4]



 

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