ArticlePDF Available

Clinical and Sociodemographic Profile of Patients with Alcohol Dependence Syndrome: A Hospital Based Study

Authors:
Psychiatry and Mental Health / Volume 1 Number 2 / July December 2017
61
Original Article
Clinical and Socio-Demographic Profile of Patients with Alcohol
Dependence Syndrome: A Hospital Based Study
Khushboo Dewani
1
, Narayan R. Mutalik
2
, Shriniwas B. Choudhari
3
Introduction
Substance abuse has become a global
phenomenon
,
which is influenced by social,
economic, political and psychosocial factors [1].
It
not only includes the use of licit substances like
alcohol, tobacco but also the illicit substances such
as cannabis, heroin etc. [2].
Worldwide there is a rising trend in number of
people who resort to substance use at an early age.
The worldwide prevalence of alcohol use disorders
among the individuals at the age of 15 years and
above was estimated to range from 0% to 16% [3].
A
powerful predictor of progression to alcohol
dependence is age at first use [4].
Alcohol has been consumed in India for centuries.
The pattern of alcohol use in India has changed from
occasional and ritualistic drinking to social drinking
[5]. The prevalence of use of alcohol ranges from a
low of 7% in Gujarat (officially under Prohibition) to
75% in the Northeastern state of Arunachal Pradesh
[6].
Alcohol use disorders range from drinking alcohol
at hazardous levels to alcohol dependence[7].
Alcoholism is a progressive disease in which
individual has been unable to quit drinking and
Abstract
Background: Worldwide there is a rising trend in number of people who resort to substance use at an early
age. The percentage of population that drinks at an early age has increased from 2% to more than 14%. Research
is needed to optimize treatment strategies especially in the understudied group of Asian Indians based on local
epidemiology of alcohol use. Objectives: To study the clinical and sociodemographic profile of males diag
nosed with alcohol dependence syndrome. Materials and Methods: A descriptive study comprising of 50 subjects
attending psychiatry de-addiction clinic in a private medical college in Bagalkot, Karnataka during 1st April
2016 to 30th September 2016 was done after taking institutional ethical committee clearance. A semistructured
proforma was used to determine the sociodemographic details and clinical determinants. Descriptive analy
sis using appropriate statistical test will be done. Results: The mean age of starting drinking was 23.58 years.
Most of the patients have not sought any previous help, 48.7% patients were brought by family members for
deaddiction, withdrawal symptoms being the reason for seeking help. Most common cause (60%) for initia
tion of alcohol was peer influence followed by experimentation. Family history of alcoholism was positive in
68% of patients. Conclusion: Results showed an urgent need of interventions that are family centered. Early age
of first use of alcohol greatly increases the risk of progression to the development of alcohol dependence and
therefore is a valid target for intervention strategies. The dreadful consequences of substance abuse justify the
need to evolve a comprehensive strategy.
Keywords: Alcoholism; Peer Influence; Substance Related Disorders.
1
Junior Resident
2
Assistant Professor
3
Associated Professor, Department of Psychiatry, S Nijalingappa Medical College,
HSK (Hanagal Shree Kumareshwar) Hospital and Research Centre, Navanagar, Bagalkot, Karnataka 587102, India.
Correspondence and Reprint Requests: Khushboo Dewani, Junior Resident, Department of Psychiatry, S Nijalingappa
Medical College, HSK (Hanagal Shree Kumareshwar) Hospital and Research Centre, Navanagar, Bagalkot, Karnataka 587102,
India.
Email: khushboo.dewani@yahoo.in
Received: April 21, 2017 | Accepted: June 28, 2017
Psychiatry and Mental Health
Volume 1 Number 2, July December 2017
Psychiatry and Mental Health / Volume 1 Number 2 / July December 2017
62
continues to drink even after knowing its harmful
effects. Individual might face problem in controlling
the drinking, might be preoccupied with alcohol,
might drink more to get the desired effect and if stops,
individual will face alcohol withdrawal
symptoms [8].
Substance abuse including alcohol leads to
various health problems, social issues, unprotected
sex, injuries, violence, road traffic accidents,
homicides, suicides, physical dependence, or
psychological addiction, deaths [9].
In few of the
cases, substance induced psychiatric disorders may
persist for a longer period of time even after
detoxification, such as psychosis or depression [10].
Increased susceptibility to human immunodeficiency
virus (HIV)/acquired immunodeficiency syndrome
(AIDS) and other sexually transmitted diseases has
been reported with alcohol [11].
Considering these facts and lack of such studies
from the tertiary hospital in Bagalkot, the study was
carried out to determine the sociodemographic and
clinical profile of the treatment seekers in the de
addiction clinic, in psychiatry department so as that
the problems of alcohol related co morbidities can be
prevented with appropriate preventive measures.
Aims
To study the clinical and sociodemographic
profile of males diagnosed with alcohol dependence
syndrome.
Materials and Methods
The study was conducted in DeAddiction Clinic
of the Department of Psychiatry at a private medical
college in Bagalkot, Karnataka during the period
from 1st April 2016 to 30th September 2016. All the
subjects fulfilling the inclusion and exclusion
criteria during the study period were included in
this study.
Inclusion Criteria
All subjects presenting to the deaddiction clinic
of a private medical college with alcohol related
problems were considered for this study and were
enrolled if they fulfill the following inclusion criteria:
1. Patient of age 18 years and above
2. Patient who fulfills criteria for dependence or
substance harmful use, according to ICD10.
3. Willing to give written informed consent.
Exclusion Criteria
Subjects with any of the following will not be
included in the study:
1. Presence of any major illness requiring intensive
medical/surgical intervention.
2. Not giving informed consent.
Study Procedure
The design and nature of the clinical study was
explained to the patients. Informed consent was
obtained. All patients were first examined by
consultant Psychiatrist to confirm alcohol
dependence or harmful use. Sociodemographic
details like education, occupation, socio economic
status, history of substance use, etc. and various other
clinical determinants like age of first use, reasons for
substance abuse, age of dependence were collected
using a specially designed proforma.
Results
A total of 50 patients were included in the study.
The mean age at presentation was 37.7 years (SD =
9.47). Minimum age being 20 years and maximum
being 65 years. Sixty eight per cent of patients had
positive family history of alcohol use. Most of the
patients had early onset alcohol dependence. Most
common cause (60%) for initiation of alcohol was
peer influence followed by experimentation. Most of
the patients have not sought any previous help, 48.7%
patients were brought by family members for de
addiction, withdrawal symptoms being the reason
for seeking help (Figure 1) Psychiatric comorbidities
were found in 10% of individuals (Figure 2).
Discussion
The mean age at presentation was 37.7 years (SD
= 9.47). Mean age at presentation in various studies
with similar design have ranged between 37 and 43
years [4,5].
A majority of individuals belonged to
above poverty level group socioeconomically. Most
of the individuals had education more than
secondary level. Previous studies showed lower
education status associated with alcohol
dependence [5].
Seventytwo percent of patients were
married and living with spouse. Most western studies
found the marital status of the patient to be being
separated or divorced [12].
The difference is probably
due to Indian customs and culture. Only 6% of
Khushboo Dewani et. al. / Clinical And SocioDemographic Profile of Patients with Alcohol
Dependence Syndrome: A Hospital Based Study
Psychiatry and Mental Health / Volume 1 Number 2 / July December 2017
63
Socio-Demographic Details N (%)
No. of Participants
50
Age (average) at presentation 37.7 years
Education
No Formal Education
3(6)
Primary
3(6)
Secondary
18(36)
Higher Secondary
12(24)
Graduate
12(24)
Post Graduate
2(4)
Marital Status
Single
9(18)
Married and living with spouse
36(72)
Separated
5(10)
Occupation
Unemployed
3(6)
Unskilled
/
Farmer
/
Clerical
22(44)
Semi
-
skilled
/
Skilled work
18(36)
Professional
/
Business
7(14)
Socio- economic status
Above Poverty Line
39(78)
Below Poverty Line
11(22)
Table 1: Sociodemographic details
Fig. 1: Complaints at the time of presentation
Khushboo Dewani et. al. / Clinical And SocioDemographic Profile of Patients with Alcohol
Dependence Syndrome: A Hospital Based Study
Psychiatry and Mental Health / Volume 1 Number 2 / July December 2017
64
Age Mean (SD) (Years) Minimum-Maximum (years-years)
At first use
23
.
58
(
6
.
92
)
11
-
42
Regular use
25
.
82
(
6
.
90
)
15
-
47
Development of tolerance
28
.
3
(
8
.
8
)
18
-
50
Development of craving
28
.
92
(
11
.
46
)
18
-
51
Table 2: Drinking history
Fig. 2: Comorbidities associated with alcohol dependence
individuals were unemployed, but most of them i.e.
44% were involved in work not requiring much
education. Study done by Vignesh BT et al [3] found
58% employment in skilled work in alcohol
dependent patients.
Positive family history of alcohol use was found
in 68% of patients. Prior study has shown that
students with parental history of alcoholism drink
more and have more alcohol related problems than
their counterparts from nonalcoholic families [13].
Another study revealed that a significantly higher
number of adolescents resort to substance abuse
when both parents are abusers (46.7%) [14].
Another
study showed that
15% of the participants consumed
alcohol due to familial status or peer pressure [15].
The most common purpose of substance abuse in the
study by Sarangi L et al was found to be peer pressure
(52.8%) [14] , whereas Bansal et al [16] found the
most common purpose of substance abuse to be
curiosity or experimentation (34.3%). In our study,
most common cause (60%) for initiation of alcohol
was peer influence followed by experimentation.
In our study mean age of first drink of alcohol was
found to be 23.6 years. Previous studies have found
early age (18.9 years) of onset of drinking.[
5]
The
difference could arise due to unwillingness of the
patients to tell the age at first drink and due to the
demographic differences present.
The Collaborative Study of the Genetics
Alcoholism (COGA) group found the mean age at
onset of alcoholism was 25 years. The mean age of
onset of tolerance was 28.3 years which was same as
the age of development of dependence found in
previous studies [5].
Singh et al. found that 44% of
the subjects developed dependence between 15 and
25 years [17].
In our study,98% of individuals seek care due to
withdrawal symptoms either delirium tremens or
withdrawal seizures. In study by Reddy MPK et al
[5],
majority of patients had presence of withdrawal
symptoms (95%) and financial strain due to alcohol
use was most commonly attributed for current
treatment seeking by key informants (92.5%).
Higher prevalence and intensity of smoking
among drinkers [18] was found in previous studies
Khushboo Dewani et. al. / Clinical And SocioDemographic Profile of Patients with Alcohol
Dependence Syndrome: A Hospital Based Study
Psychiatry and Mental Health / Volume 1 Number 2 / July December 2017
65
and was replicated in ours (70%). Systemic illnesses
like hypertension and diabetes was found in 20% of
the participants. Tuberculosis was the most common
infection associated with alcoholics in our study.
Limitations
The study had a small sample size and was a case
series study as a result a causal relationship cannot
be drawn and only associations between the various
variables and alcohol dependence can be described.
Further the study was limited to one geographical
location so the results of the study cannot be
generalized.
Conclusion
Mean age at first drink was 23.6 years and age at
onset of tolerance was 28.3 years. The alcohol
dependence was more common in individuals with
education more than secondary level. Most of the
patients presented with withdrawal symptoms.
Measures to improve the knowledge about ill effects
of alcohol use are needed to control the alcohol abuse.
Interventions which are family centered and target
individuals who are unskilled are required.
Acknowledgements
We would like to thank the hospital authorities
for permitting us to conduct the study and all the
participants involved in the study.
Conflict of Interest: None declared
Source of Support: Self
References
1. World Health Organization Biennium Project (2006
2007). Drug abuse monitoring system, Report, India.
Available from: http://www.slashdocs.com/
kwsytw/mentalhealthsubstanceabusedrug
abusemonitoringsystem.html[Last accessed on 25
March 2014].
2. Murthy P, Manjunatha N, Subodh BN, Chand PK,
Benegal V. Substance use and addiction research in
India. IndianJPsychiatry.2010 Jan 1;52(7):189199.
3. Vignesh BT, Singh AK, Mohan SK, Murthy S, Joshi
A. Association between sociodemographics and
alcohol dependence among individuals living in
an Indian setting. Glob JHealthSci. 2014 May;6(3):16.
4. DeWit DJ, Adlaf EM, Offord DR, Ogborne AC. Age
at first alcohol use: a risk factor for the development
of alcohol disorders. Am J Psychiatry. 2000 May
1;157(5):74550.
5. Reddy MP, Babu RS, Pathak SM, Venkateshwarlu S.
The clinical and demographic profile of male
patients with alcohol dependence syndrome.
IndianJ Psychol Med. 2014 Oct;36(4):418.
6. Benegal V. India: alcohol and public health.
Addiction. 2005 Aug 1;100(8):10516.
7. Pillai A, Nayak MB, Greenfield TK, Bond JC,
Nadkarni A, Patel V. Patterns of alcohol use, their
correlates, and impact in male drinkers: a population
based survey from Goa, India. Soc Psychiatry
Psychiatr Epidemiol 2013 Feb 1;48(2):27582.
8. Hoffman PL, Tabakoff B. Alcohol dependence: a
commentary on mechanisms. Alcohol and
alcoholism. 1996 Jul 1;31(4):33340.
9. Burke PJ, O’sullivan J, Vaughan BL. Adolescent
substance use: brief interventions by emergency care
providers. Pediatr Emerg Care 2005 Nov 1;21(11):7706.
10. Isralowitz R. Drug use: A reference handbook
[Internet]. California: Santa Barbara; 2004. Available
from:http://books .google.co.in/bo oks?isbn=
157607708X. [Last accessed on 2013 May 10].
11. Chandra PS, Carey MP, Carey KB, Rao PP, Jairam
KR, Thomas T. HIV risk behaviour among
psychiatric inpatients: results from a hospitalwide
screening study in southern India. Int J STD AIDS.
2003 Aug 1;14(8):5328.
12. Rao TS, Nambi S, Shekhar HC. Marriage mental
health and Indian legislation. Forensic Psychiatry
Clinical Practice Guidelines for Psychiatrists in
India. Jaipur (India): Indian Psychiatric Society.
2009:11328.
13. Gupta PC, Saxena S, Pednekar MS, Maulik PK.
Alcohol consumption among middleaged and
elderly men: a community study from western India.
Alcohol and Alcoholism. 2003 Jul 1;38(4):32731.
14. Sarangi L, Acharya HP, Panigrahi OP. Substance
abuse among adolescents in urban slums of
Sambalpur. Indian J Community Med. 2008 Oct
1;33(4):265.
15. John A, Barman A, Bal D, Chandy G, Samuel J,
Thokchom M, et.al. Hazardous alcohol use in rural
southern India: nature, prevalence and risk factors.
Natl Med JIndia. 2009;22(3):12325.
16. Bansal RK, Banerjee S. Substance use by child
labourers. Indian J Psychiatry. 1993 Jul;35(3):159.
17. Singh NH, Sharma SG, Pasweth AM. Psychiatric co
morbidity among alcohol dependants. Indian J
Psychiatry 2005 Oct 1;47(4):222.
18. Thun MJ, Peto R, Lopez AD, Monaco JH, Henley SJ,
Heath Jr CW, et.al. Alcohol consumption and
mortality among middleaged and elderly US
adults. New England Journal of Medicine. 1997 Dec
11;337(24):170514.
Khushboo Dewani et. al. / Clinical And SocioDemographic Profile of Patients with Alcohol
Dependence Syndrome: A Hospital Based Study
... The mean age at presentation in our study was 36.22 (± 8.751) years. This finding is consistent with various other studies [7][8][9][10][11]. In Our study, 66% of participants were married at the time of presentation, which matches with other Indian studies where the majority of the study participants are married [7][8][9][10][11]. ...
... This finding is consistent with various other studies [7][8][9][10][11]. In Our study, 66% of participants were married at the time of presentation, which matches with other Indian studies where the majority of the study participants are married [7][8][9][10][11]. However, a study from Germany reported a higher number of participants being single or divorced [12]. ...
... In our study, out of the total, 60% of patients had education up to higher secondary level. Similar findings were reported by Dewani K. et al [9] & Johnson PR et al. [10] Other studies showed lower education status associated with alcohol dependence [7][8]. ...
Article
Full-text available
Background: Alcohol abuse is one of the major causes of death and disability globally; and a key risk factor for health, social, and economic problems in the communities. Consumption of alcohol by Indians has increased drastically due to various factors and in an unrestricted manner; and the age of initiation of drinking is progressively coming down. Objective: To determine the socio-demographic and clinical profile of the patients coming for treatment of alcohol dependence syndrome in the psychiatry department. Methods: A cross-sectional study was conducted on 50 male outpatients of alcohol dependence syndrome attending the department of psychiatry at a tertiary care hospital. Sociodemographic data and clinical details were recorded with the help of a pre-designed questionnaire. Results: Nuclear family, family history of alcoholism, unmarried status, higher educational level, unemployment, and peer pressure are the factors significantly associated with early age at first drink and age of dependence on alcohol (p < 0.05). Conclusion: Adolescents having a family history of alcoholism are a high-risk group for developing alcohol dependence and should be targeted for intervention strategies. Community based-longitudinal studies are needed to understand multiple factors influencing alcohol use and recommend targeted preventive measures. Keywords: Alcohol, Alcohol dependence syndrome, Peer pressure, Intoxication, Socio-demographic factors
... Previous studies have observed that the majority of the participants seeking treatment for alcohol dependence were skilled workers. 28,29 Many subjects in the present study reported having no co-morbid illnesses (93.6%). Findings of a study reported that tuberculosis, hypertension, and diabetes were present in 20% of the patients undergoing alcohol addiction treatment. ...
... Findings of a study reported that tuberculosis, hypertension, and diabetes were present in 20% of the patients undergoing alcohol addiction treatment. 29 Approximately 10% of the subjects in the present study received supervision during disulfiram treatment provided by significant family members, such as spouses and mothers. The existing literature indicates that supervised disulfiram therapy plays a superior role in alcohol de-addiction settings 30,31 because supervised disulfiram may act not only as a deterrent agent but also as a strong reinforcing agent for cognitive and behavioral change. ...
Article
Full-text available
Background: Disulfiram is the first Food and Drug Administration (FDA)-approved drug for the treatment of alcohol dependence, primarily acting as a deterrent agent. The available literature on disulfiram treatment for alcohol dependence among individuals in low-income and middle-income countries is scarce, while numerous factors impact the acceptance and adherence to such treatment. Methods: The study utilized a purposive sampling methodology. The participants were contacted by telephone at 4 weeks, 12 weeks, and 24 weeks after the initiation of disulfiram treatment. Alcohol abstinence was calculated using the self-reported total alcohol-free days, and adherence and attitudes toward disulfiram treatment were measured using the Treatment Compliance Assessment Scale (TCAS). Findings: The participants had a mean age of 39.30±7.7 years. Nearly 62% and 46% of the subjects reported maintenance of alcohol abstinence after initiation of 12 and 24 weeks of disulfiram treatment, respectively. The proportion of non-adherent subjects increased from 36.3% to 57.2% during the 12-week and 24-week follow-up periods. Attitudes toward disulfiram treatment varied significantly across different time points. A strong positive correlation was observed in the alcohol abstinence, adherence, and attitude scores at different time points (P<0.01). Conclusion: The present study’s findings unveiled that nearly 60% and 40% of the study subjects were maintaining alcohol abstinence and adherence at 12 weeks and 24 weeks after initiation of disulfiram treatment, respectively. Disulfiram could be a viable psychological tool for alcohol abstinence, but objective measurements are required to underpin its utility in this setting.
... This is in line with previous findings, which have reported average ages ranging from 37 to 43 years. [4][5][6] The majority of participants in the study had completed middle school education and were skilled workers in agriculture and fisheries. This finding could be attributed to the physical and economic stress associated with these occupations. ...
Article
Full-text available
Background: Alcohol dependence is a significant worldwide public health concern that can negatively affect mental health, social interactions, and overall functioning. Prolonged consumption of alcohol can cause severe liver damage as well as dysfunction in other organs. Aim: To examine effects of the duration of alcohol dependence on AST and ALT levels and De Ritis ratio in patients at a tertiary care centre. Method: A cross-sectional study was conducted at the A total of 90 patients diagnosed with alcohol dependence according to ICD-10 criteria were recruited from both inpatient and outpatient settings over a one-year period from March 2021 to April 2022. The study received institutional ethics committee (H) approval and informed consent was obtained from the participants. Demographic information was collected using a self-designed socio-demographic form. AST and ALT levels were measured and the De Ritis ratio (AST/ALT) was calculated. Statistical analysis was performed using SPSS version 25. Results: The average duration of alcohol dependence in participants was 11.89 (SD=4.9) years. Elevated AST levels were found along with derangement of the De Ritis ratio. The duration of alcohol dependence was found to be positively correlated with both AST levels and De Ritis ratio (r=0.624, p<0.001; r=0.390, p<0.001 respectively) Changes in AST , ALT and De Ritis ratio with the duration of Alcohol Dependence : A cross sectional study Section
Article
Objective To examine the profile of patients admitted to a drug de-addiction center of a tertiary care center or hospital with alcohol dependence. Material and Methods The study was held in the Department of Psychiatry, Assam Medical College and Hospital, Dibrugarh, Assam during the period from August 2020 to September 2021. 120 patients who fulfilled the criteria for alcohol dependence according to ICD-10 were included. Alcohol Use Disorder Identification Test (AUDIT) and Michigan Alcoholism Screening Test (MAST) were applied. Results Around 13.3% of the study participants started drinking alcohol at the age of 15 years. The average age at which the patients initiated drinking alcohol was 24.02 ± 7.19 years, and patients who had started drinking at an early age became dependent within 15 years of regular drinking. The most common cause of initiation of drinking was found to be curiosity, peer pressure, and familial disharmony (68.8%). Most of the patients (80%) were from the lower socio-economic class, educated till middle school, and majority (80.9%) of the participants had an AUDIT score of >20 indicating alcohol dependence. Conclusion Alcohol use is seen to begin at a young age (about 15 years), primarily in individuals with less education and in rural communities of this region of the state. Hence, public awareness campaigns and school-based educational initiatives should be undertaken.
Article
Full-text available
Aims: To study the demographic factors associated with alcohol dependence syndrome so that the problems of alcohol related co morbidities can be prevented with appropriate preventive measures. Materials and Methods: The study was conducted in De-Addiction Clinic of the Department of Psychiatry, Mamata Medical College, Khammam, Andhra Pradesh from July 2008 to February 2009. Patient who fulfills criteria for alcohol dependence, according to diagnostic and statistical manual of mental disorders, fourth edition were included. Results: Mean age (standard deviation) at first drink was 18.93 (3.81) years and at onset of Alcohol dependence was 28.28 (6.55) years. The most common reason being given by the patients was financial strain (70% of the patients) due to alcohol use and its consequences. Educational qualification of 12th standard or above was seen only in 7.5%. Alcohol dependence syndrome was more common in unemployed, unskilled and semi-skilled patients. Majority of patients (80%) belonged to lower socio-economic class. Conclusion: Alcohol dependence syndrome and its related co morbidities can be minimized to a great extent if the educational and socio-economic standards are improved in countries like India where there is increase in alcohol consumption as a life style choice.
Article
Full-text available
Background: Alcohol use is on the rise worldwide and urgent steps are required to curb this growing burden of alcohol consumption. Alcohol drinking leads to serious social, physical and mental consequences. Objective: The objective of this pilot study is to examine association between socio-demographics and severity of alcohol dependence among individuals obtaining treatment at alcohol de-addiction center. Methods: This pilot cross sectional study was conducted in September 2013 in South India. A convenient sample of 100 participants was enrolled. Individuals aged 30 years and above, receiving treatment from de-addiction center and providing written informed consent were eligible for the study. A modified version of previously validated questionnaires was used for gathering information on socio-demographic characteristics, severity of alcohol dependence (using Alcohol Dependent Scale [ADS] and Short Alcohol Dependence Data questionnaire [SADD]), motivational incentives for alcohol quitting and challenges faced while quitting alcohol. Results: All participants were males with mean age of 43 years (SD = 6.5 years). Significant association was seen between ADS and annual income (p = 0.001), education (p = 0.001), occupation (p < 0.0001) and work timing (p < 0.0001). Similar results were seen with SADD scores. Family support (100%) and health (60%) were reported to be the most important motivating factors for quitting alcohol. Discussion: Results showed an urgent need of interventions that are family centered and focus on unskilled, less educated individuals having high work stress. Public health interventions should not only be home based, but should also include worksite awareness initiatives. A national policy is needed to promote alcohol quitting and to bring awareness regarding the consequences of alcohol consumption on individual’s life.
Article
Full-text available
Purpose Associations between low socio-economic class and alcohol use disorders are relatively well established in developed countries; however, there is comparably little research in India and other developing countries on the associations between socio-economic class, drinking patterns, and alcohol-related problems. We sought to assess drinking patterns and adverse outcomes among male drinkers and examine whether the association between drinking patterns and adverse outcomes differ by socioeconomic class. Methods Population survey of 732 male drinkers screened from 1,899 men, aged 18 to 49 years, randomly selected from rural and urban communities in northern Goa, India. Results Usual quantity of alcohol consumed by 14.8 % (rural 16.8 %; urban 13.6 %) current drinkers is at high-risk level. About 28.6 % (rural 31 %; urban 27.2 %) and 33.7 % (rural 30.5 %; urban 35.5 %) of current drinkers reported monthly or more frequent heavy episodic drinking and drunkenness, respectively. Lower education and lower standard of living (SLI) were associated with higher usual quantity of alcohol consumption. More frequent heavy episodic drinking was associated with older age, being separated, lower education, and lower standard of living; weekly or more frequent drunkenness was associated only with rural residence. All three risky drinking patterns were associated with common mental disorders, sexual risk, intimate partner violence, acute alcohol-related consequences, and alcohol dependence. Significant interactions between SLI and risky alcohol use patterns suggested an increased risk of intimate partner violence among men with risky drinking and lower SLI. Conclusions Risky drinking patterns are common among male drinkers in Goa and associated with lower socio-economic class. A range of adverse health and social outcomes were associated with risky drinking across all socio-economic classes. Alcohol policy should target risky drinking patterns, particularly among poorer men, to reduce the health and social burden of alcohol use in India.
Article
Full-text available
Substance use patterns are notorious for their ability to change over time. Both licit and illicit substance use cause serious public health problems and evidence for the same is now available in our country. National level prevalence has been calculated for many substances of abuse, but regional variations are quite evident. Rapid assessment surveys have facilitated the understanding of changing patterns of use. Substance use among women and children are increasing causes of concern. Preliminary neurobiological research has focused on identifying individuals at high risk for alcohol dependence. Clinical research in the area has focused primarily on alcohol and substance related comorbidity. There is disappointingly little research on pharmacological and psychosocial interventions. Course and outcome studies emphasize the need for better follow-up in this group. While lack of a comprehensive policy has been repeatedly highlighted and various suggestions made to address the range of problems caused by substance use, much remains to be done on the ground to prevent and address these problems. It is anticipated that substance related research publications in the Indian Journal of Psychiatry will increase following the journal having acquired an 'indexed' status.
Article
Full-text available
The present study highlights substance use patterns of 300 child labourers from 6 slums in Sural city and identifies the microsocial and macrosocial stressors which initiate and perpetuate their substance use. It was observed that 135 (45%) of the child labourers had used some substance with a mean of 1.5 substances used per child. Tobacco smoking was the most common form of substance abuse followed by tobacco chewing, snuff, cannabis and opium. This study highlights an urgent need for the containment of substance abuse by these vulnerable early initiators.
Article
Full-text available
There is a dearth of data on the hazardous use of alcohol in rural India. We examined the nature, prevalence and factors associated with hazardous use of alcohol among men in a rural community in southern India. We used stratified sampling to select subjects from the Kaniyambadi block and employed 'AUDIT', a standard instrument, to assess the use of alcohol. The prevalence of life-time use, use in the past year and hazardous use of alcohol was 46.7%, 34.8% and 14.2%, respectively. Using Indian made foreign liquor (OR 20.51; 95% CI 8.81-47.75) and living in a village which brewed illicit alcohol (OR 2.82; 95% CI 1.39-5.72) were risk factors for hazardous use while education (OR 0.39; 95% CI 0.21-0.72) was protective. These factors remained significantly associated with hazardous use after adjusting for age and education using logistic regression. The relationship between the availability of illicit and commercial alcohol and its hazardous use suggests the need for an alcohol policy which takes into account health and economic issues and also implements the law to prevent the negative impact of problem drinking.
Article
Full-text available
The alcohol dependence syndrome includes the presence of alcohol tolerance, physical dependence and an inability to control one's alcohol intake. Studies are reviewed that implicate the mesolimbic dopaminergic systems, and the gamma-aminobutyric acid-A (GABAA) and N-methyl-D-aspartate (NMDA) receptors as mediators of various aspects of the alcohol dependence syndrome. It is suggested that alcohol-induced changes in the GABAA receptor may play a role in certain aspects of tolerance to alcohol and in altered abilities of an individual to terminate alcohol intake. Chronic alcohol-induced increases in the activity of NMDA receptors may contribute to the withdrawal signs that are the defining feature of physical dependence on alcohol. It is hypothesized that decreased mesolimbic dopaminergic function, which occurs during alcohol withdrawal, may be involved in the compulsion to initiate and maintain alcohol drinking, another aspect of the alcohol dependence syndrome. Furthermore, evidence is presented that this decreased dopaminergic function could occur secondarily to the increase in NMDA receptor function, such that the alcohol-induced increase in NMDA receptor function could underlie both the overt withdrawal signs and the compulsion to drink alcohol in the alcohol-dependent individual.
Article
Full-text available
Alcohol consumption has both adverse and beneficial effects on survival. We examined the balance of these in a large prospective study of mortality among U.S. adults. Of 490,000 men and women (mean age, 56 years; range, 30 to 104) who reported their alcohol and tobacco use in 1982, 46,000 died during nine years of follow-up. We compared cause-specific and rates of death from all causes across categories of base-line alcohol consumption, adjusting for other risk factors, and related drinking and smoking habits to the cumulative probability of dying between the ages of 35 and 69 years. Causes of death associated with drinking were cirrhosis and alcoholism; cancers of the mouth, esophagus, pharynx, larynx, and liver combined; breast cancer in women; and injuries and other external causes in men. The mortality from breast cancer was 30 percent higher among women reporting at least one drink daily than among nondrinkers (relative risk, 1.3; 95 percent confidence interval, 1.1 to 1.6). The rates of death from all cardiovascular diseases were 30 to 40 percent lower among men (relative risk, 0.7; 95 percent confidence interval, 0.7 to 0.8) and women (relative risk, 0.6; 95 percent confidence interval, 0.6 to 0.7) reporting at least one drink daily than among nondrinkers, with little relation to the level of consumption. The overall death rates were lowest among men and women reporting about one drink daily. Mortality from all causes increased with heavier drinking, particularly among adults under age 60 with lower risk of cardiovascular disease. Alcohol consumption was associated with a small reduction in the overall risk of death in middle age (ages 35 to 69), whereas smoking approximately doubled this risk. In this middle-aged and elderly population, moderate alcohol consumption slightly reduced overall mortality. The benefit depended in part on age and background cardiovascular risk and was far smaller than the large increase in risk produced by tobacco.
Article
Psychiatric disorders are common in alcoholics and such patients have a poorer prognosis. To determine the prevalence of psychiatric co-morbidity among alcohol-dependent subjects and to compare the prevalence of specific psychiatric disorders between them and a control group. The study assessed the prevalence of psychiatric co-morbidity in 100 alcohol-dependent subjects and 100 controls. A semi-structured proforma was used to record the sociodemographic variables and the history of alcohol abuse. Statistical analysis was done using the chi-square test. The prevalence rate of psychiatric co-morbidity in alcohol-dependent subjects and controls was found to be 92% and 12%, respectively. The most common disorders were depression, antisocial personality disorder (ASPD) and phobia. There was a significant difference in the prevalence of psychiatric co-morbidity between alcohol-dependent subjects and controls. The findings indicate the need for an active consultation service for better insight into the prevention, treatment and outcome of alcohol dependence.