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Sangeetha, Sudhakar, Ilavarasan, and Kannan: A follow – Up study on coping strategies and its association with relapse among alcohol dependent patients


Introduction

Alcohol consumption is a major problem in India. It is influenced by various factors like socio-cultural practices, government policies, media propaganda, and the emerging trend of social drinking as a result of urbanization. The National Mental Health Survey of India 2015–16 shows that the prevalence of Alcohol use disorders (AUD) in adult men is around 9%. AUD is strongly associated with various mental health problems like depression, anxiety, drug misuse, Nicotine dependence, and self-harm. About 41% of suicides and around 23% of individuals who engaged in deliberate self-harm were associated with Alcohol dependence.1 Alcohol dependence is chronic in nature and is due to a combination of various factors such as individuals’ characteristics, environmental variables, genetic factors, and social factors.2, 3, 4 Novelty seeking can be a predictor of Alcohol dependence.5, 6

Relapse is a complex process. According to the social-cognitive behavioural model of Marlatt et al., relapse is due to three categories of stressors. They are conflicts between family members, pressure put forth by society, and negative adverse events.7 Relapse is followed by a series of behaviour changes where the individual returns to a more severe form of problematic drinking.8 According to the Relapse Prevention Model by Marlatt et al, various factors precipitate relapses in alcohol-dependent individuals. They include situations like feeling lonely or angry, conflict with family members, problems with coping, lifestyle changes, cravings, etc. Individual temperament, peer pressure, personality, genetic loading, environmental factors, socio-economic factors, craving, stressful events, self-efficacy, and low social support can lead to relapse.9, 10, 11

Sharma et al. did a study and found that relapse was highly associated with individuals who were less than 30 years of age, had a lower educational status, were from a low socioeconomic class, were not working, had familial risk, and had a previous criminal record.12 Thomas et al. conducted a study and found that an individual's personal control over substance use was the most common risk factor leading to Relapse.13 Findings of Suresh Kumar et al. show that Variables like positive family history, more than two Relapses in the past, an early age of onset of Alcohol dependence, and a very short time taken to develop Dependence are highly associated with Relapse.14

Patients with AUD used a range of strategies, like getting involved in activities that distract them from drinking, involvement in religious activities, and restricting access to alcohol.15 Alcohol dependence patients developed a mechanism of emotional regulation that helped them immediately soothe these disturbing emotions rather than alter the stressful circumstances.16 The way in which an individual exhibits coping in response to stress not only has a short-term effect but, in the long run, also affects their somatic health, mental well-being, and social functioning.17

Mattoo et al. concluded that alcohol-dependent individuals who had relapsed were experiencing a greater number of undesirable life events than the non-relapsed.18 In a study done with homeless people in Poland, a combination of emotion- and avoidance-oriented styles was the most common coping strategy (20.51%) 19. When exposed to stressors, individuals with problem-focused strategies are highly like to develop Relapse. Avoidant Coping strategies are consistently associated with both heavy drinking and Alcohol-related problems.20, 21

The present study attempts to address this complex relationship between alcohol dependence, vulnerability to relapse, and coping strategies. The findings would supplement the current relapse prevention and treatment measures.

Objectives

  1. To assess the coping strategies of alcohol-dependent individuals.

  2. To co-relate the coping styles between relapsed and non-relapsed.

  3. To compare the severity of alcohol dependence with respect to coping strategies among the relapsed and the non-relapsed.

Materials and Methods

The study population consisted of patients attending the De-addiction outpatient department at the Chengalpattu Medical College Hospital, a tertiary care centre situated in the South Indian state of Tamil Nadu. Institutional ethical committee approval and Informed Consent from participants were obtained.

The study was conducted between April 2019 and June 2020. 127 patients visiting the De-addiction OPD who fulfilled the ICD-10 criteria for Alcohol Dependence Syndrome and were under De-addiction treatment were included in the study by convenient sampling method. In a study done by Suresh Kumar et al., 14 the percentage of Relapses was 53.03%. By applying it to the formula (1.96)2 * p * q/d2, the Sample size was estimated to be 96. [Z = 1.96; d = 10%; p = 53.03; q = 46.96]. Since this was a Follow-up study, we expected a 30% dropout rate, and thus the sample size was re-estimated and about 127 patients who were attending the psychiatric department for de-addiction management and fulfilling the criteria (Figure 1) mentioned below got selected.

Study tool

A validated semi-structured questionnaire was used to collect details of Socio-demographic characteristics. The severity of alcohol dependence was assessed using the Severity of Alcohol Dependence Questionnaire (SADQ). SADQ is a self-reporting scale with 20 items that are scored on a Likert scale of 0-4. A score of more than 30 indicates severe alcohol dependence.

The Brief-COPE is a 28-item self-report questionnaire designed to measure effective and ineffective ways to cope with a stressful life event. The scale is often used in health-care settings to ascertain how patients are responding to certain situations. The scale can determine someone’s primary coping style as either Approach coping or Avoidant Coping.

Both the SADQ and Brief-COPE questionnaires were self-reporting tools. Considering the fact that a substantial amount of variation might prevail among participants in relation to their educational background, these tools were translated into the local language. Their reproducibility was tested by re-translating into English and then administered among the participants. After assessing the patients through the above-mentioned tools at baseline, they were followed up monthly for a period of 6 months.

Figure 1

STROBE flow diagram (modified) – recruitment, follow up and outcome of participants.

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/adda85ef-7ed3-49e5-8666-38252fe1ed2cimage1.png

Statistical analysis

The statistical analysis was done using SPSS version 20. Continuous variables were presented in the form of Mean and Standard deviation, whereas Categorical variables were presented in the form of Frequency distributions and percentages. Associations between categorical variables were tested using the Chi-square test, while continuous variables were analyzed using the Independent t test and Spearman’s correlation. The significance was set at a p-value of < 0.05.

Results

Out of 127 participants, 24 dropped out of the study. 103 patients were followed up for a period of six months. At the end of the follow-up period, around 66% of patients relapsed (N = 69).

Table 1

Distribution of Socio-Demographic Variables of Participants:

S.No.

Variables

Frequency (n)

Percentage (%)

1.

Age

Up to 30

20

19.4

31 to 50

66

64.1

Above 51

17

16.5

2.

Residence

Urban

49

47.6

Rural

54

52.4

3.

Education

Primary

32

31.1

Secondary

52

50.5

Higher secondary & above

19

18.4

4.

Occupation

Unemployed

17

16.5

Semiskilled

48

46.6

Skilled

38

36.9

5.

Socio-Economic Status

Upper

3

2.9

Upper Middle

15

14.6

Lower Middle

23

22.3

Lower

62

60.2

From Table 1, it was evident that about 64.1% of study participants belong to the age group of 31–50 years, and 60.2% of them belonged to the lower socio-economic class.

Table 2

Comparison between relapsed and non-relapsed – adaptive strategy (Brief COPE Scale)

S.No

Coping style

Outcome

N

Mean

Standard Deviation

Standard Error Mean

t value

p value

1

Active coping

Relapsed

69

4.54

1.119

.135

-2.582

0.008*

Non – relapsed

34

5.12

.977

.168

2

Emotional support

Relapsed

69

4.28

1.542

.186

-1.957

0.044*

Non – relapsed

34

4.88

1.343

.230

3

Informational support

Relapsed

69

3.87

1.013

.122

-2.628

0.017*

Non – relapsed

34

4.47

1.237

.212

4

Positive reframing

Relapsed

69

4.65

1.186

.143

-1.818

0.062

Non – relapsed

34

5.09

1.055

.181

5

Planning

Relapsed

69

4.38

1.072

.129

-3.614

<0.001*

Non – relapsed

34

5.15

0.892

.153

6

Acceptance

Relapsed

69

4.43

1.182

.142

-2.188

0.030*

Non – relapsed

34

4.97

1.141

.196

7

Humour

Relapsed

69

3.36

1.465

.176

-3.424

<0.001*

Non – relapsed

34

4.44

1.580

.271

8

Religion

Relapsed

69

3.35

1.513

.182

-0.916

0.377

Non – relapsed

34

3.65

1.649

.283

Adaptive

Relapsed

69

32.8551

5.64977

.68015

-4.203

0.01*

Non -relapsed

34

37.7647

5.41635

.92890

[i] Statistical test – Independent T test

Non- relapsed participants were practising Adaptive coping strategy more than the Relapsed counterparts and the difference was statistically significant (p< 0.05). Regarding styles, Active coping, Informational support, Planning, Acceptance, and humour were significantly more practiced by the non-relapsers than the relapsers (p < 0.05) (Table 2).

Table 3

Comparison between relapsed and non-relapsed – maladaptive strategy (Brief COPE Scale)

S.No

Coping style

Outcome

N

Mean

Standard Deviation

Standard Error Mean

t value

p value

1

Self-distraction

Relapsed

69

4.32

1.567

.189

0.441

0.655

Non-relapsed

34

4.18

1.487

.255

2

Denial

Relapsed

69

3.84

1.975

.238

2.535

0.005*

Non-relapsed

34

2.88

1.387

.238

3

Substance use

Relapsed

69

6.38

1.832

.221

2.508

0.024*

Non-relapsed

34

5.32

2.319

.398

4

Behavioural Disengagement

Relapsed

69

4.20

1.623

.195

1.214

0.224

Non-relapsed

34

3.79

1.572

.270

5

Venting

Relapsed

69

4.29

1.446

.174

1.231

0.229

Non-relapsed

34

3.91

1.505

.258

6

Self-blame

Relapsed

69

5.26

1.930

.232

2.699

0.012*

Non-relapsed

34

4.12

2.199

.377

Maladaptive

Relapsed

69

28.2899

7.62562

o.91802

2.573

0.012*

Non-relapsed

34

24.2059

7.46620

1.28044

[i] Statistical test – Independent T test

Table 3 revealed that relapsers were practising Mal-adaptive coping strategy more than the non –relapsers and difference was statistically significant (p < 0.05). Relapsers were practicing styles like Denial, Substance abuse, and self-blame more than non-relapsed people, and those differences were statistically significant (p < 0.05).

Table 4

Severity of alcohol dependence among relapsed and non-relapsed patients.

Severity of alcohol dependence

Relapsed

Non relapsed

Chi-square

p-value

Severe

38(55.0%)

11(32.3%)

4.714

0.030*

Mild to moderate

31(44.0%)

23(67.6%)

[i] Statistical test – Chi – square test

Nearly 55% of the relapsers had severe alcohol dependence when compared to non-relapsers (32.3%) and difference was statistically significant (p<0.05).(Table 4 )

Figure 2

Severity of alcohol dependence among relapsers and non –relapsers.

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Table 5

Correlation between severity of alcohol dependence and coping strategies

S.No.

Independent variable

Dependent variable

Correlation

Coefficient ‘r’

p value

1

Severity of Alcohol Dependence

Coping – Adaptive Strategy

Spearman’s

-0.115

0.247

2

Coping-Maladaptive strategy

0.403

<0.01*

[i] Statistical method - Spearman’s correlation

A moderate Positive correlation exists between Severity of Alcohol dependence and Maladaptive Coping strategy, and it is statistically significant (p< 0.05) (Table 5).

Discussion

The 6-month follow-up study was conducted among alcohol dependent patients, and nearly 2/3rd (66%) of them developed relapse at the end of the follow-up period.

A study done by Chauhan VS et al.7 showed that nearly half of the subjects belonged to the age group of 31–40 years. Korlakunta et al. study22 showed 3/4th belonged to the age group of 31–45 years. These findings were similar to the current study, where nearly 2/3rd of them belonged to the age group of 31–50 years. In all the above-mentioned studies, it was obvious that most of them had their age of onset of alcohol use below 25 years. Since they started their substance abuse at a much younger age, the resultant chronic habit of alcohol abuse might be the reason why alcohol dependence is more common among middle-aged participants.

Korlakunta et al. study showed that 4/5th of the participants were employed, which was similar to the present study, where nearly 3/4th of the participants were employed in either Semi-skilled or Skilled jobs. Most of the alcohol-dependent patients are employed, money holders and not dependent on others for personal expenses, which would have made them procure more substance.22

In the present study, non-relapsers practised adaptive Coping strategy and styles especially Active coping, Informational support, Planning, Acceptance, and Humour in order to maintain abstinence. These findings were contrary to the findings of the study done by Nadkarni et al which showed that both adaptive and maladaptive coping strategies and styles such as Avoidance, Substitution, Distraction, Religious activities, Support from family and Anger management were effective to remain abstinent. Inter – related positive factors might have played a vital role in getting customized to adaptive coping strategy and styles among a portion of alcohol dependent individuals and eventually turning into non – relapsers. 15

In the current study no statistically significant difference was found between Relapsed and Non – relapsed in practising Emotional support style of coping. This was contradicting with a study done by Miller et al2 which showed that emotional support was an important factor in determining abstinence from alcohol. In the background of insufficient financial, social and family support, the family members of Alcohol Dependent individuals were unable to receive emotional support and it got reflected in the study.

A study by Vieten et al in 201023 suggested an acceptance based intervention model to reduce Relapse in Alcohol Dependence and found it to be promising. In our study, patients who used acceptance as a coping strategy were maintaining abstinence during the follow up period. Acceptance could be an effective style only if it was in sturdy linkage with internal drive to get away from alcoholism and remain abstinent.

In the current study, non-relapsers were practicing adaptive coping strategies, while relapsers practiced maladaptive coping strategies like Denial, Substance abuse, and Self-blame. Factors like education, income, emotional support, family support, accessibility and availability of health care provisions including de-addiction centers, counselling, etc., might have played a role in splitting up of alcohol dependent individuals into relapsers and non-relapsers and the selection of respective coping strategies. The limitation of our study is that it was a hospital-based study. A long-term follow-up would give much more understanding about the relapse and its associated factors.

Conclusion

Alcohol Dependence Syndrome is a chronic relapsing disorder. This study showed that poor coping skills among individuals with alcohol dependence were one of the factors contributing to relapse. Measures to improve Coping skills in De-addiction centres and Rehabilitation units would help dependent individuals to understand the illness and remain abstinent, thereby providing better health outcomes.

Source of Funding

None.

Conflict of Interest

None.

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