Journal of Education and Health Promotion

Willingness to quit alcohol use and its associated factors among male outpatients attending urban primary health centers in Delhi

Document Type : Original Article

Authors

. Bharathnag Nagappa
. Yamini Marimuthu 1
. Gokul Sarweswaran 2
. Manikandanesan Sakthivel 2
. Yuvaraj Krishnamoorthy 2
. Tanveer Rehman 2

1 Department of Community Medicine, Maulana Azad Medical College, New Delhi

2 Department of Preventive and Social Medicine, JIPMER, Puducherry, India

Abstract
CONTEXT: Harmful use of alcohol has led to 1.7 million deaths from noncommunicable diseases
and 1 million injury deaths including road traffic accidents, self‑harm, and interpersonal violence. The
opportunistic screening can be used to screen for substance abuse in outpatient department (OPD)
attendees of primary health‑care (PHC) settings in India.
AIMS: This study was conducted to determine the prevalence of willingness to quit alcohol use
among alcohol users and factors associated with it.
SUBJECTS AND METHODS: A facility‑based cross‑sectional study was conducted in urban PHCs
and willingness to quit alcohol was assessed among the alcohol users. Alcohol Use Disorder
Identification Test (AUDIT) scale was used to assess the alcohol use disorder score. Data were
entered using Epidata version 3.1 and analyzed using STATA version 14.
RESULTS: It is found that two‑third of the male OPD patients are using alcohol and 59% of the
alcohol users were willing to quit alcohol. Education (adjusted prevalence rate ratio [aPR] = 1.9;
95% confidence interval [CI]: 1.2–2.9), occupation (aPR = 1.4; 95% CI: 1.1–1.8), higher AUDIT
scores (aPR = 2.7; 95% CI: 2.2–3.5), frequency of alcohol use (aPR = 1.6; 95% CI: 1.2–2.0), and
positive family history of alcohol‑related illness times (aPR = 1.6; 95% CI: 1.3–2.0) were significantly
associated with willingness to quit alcohol.
CONCLUSION: Two‑third of the male OPD patients are using alcohol and 59% of the alcohol users
were willing to quit alcohol. Education, occupation, higher AUDIT scores, frequency of alcohol use,
and positive family history of alcohol‑related illness were significantly associated with willingness
to quit alcohol.

Keywords

Alcohol abuse
Alcohol Use Disorder Identification Test
intention to quit
operational research
willingness to quit
1. World Health Organization. Global Status Report on Alcohol
and Health 2018. World Health Organization; 2018. Available
from: https://www.who.int/substance_abuse/publications/
global_alcohol_report/en/2. [Last accessed on 2019 Jun 26].
2. Kunzmann AT, Coleman HG, Huang WY, Berndt SI. The
association of lifetime alcohol use with mortality and cancer risk
in older adults: A cohort study. PLoS Med 2018;15:e1002585.
3. Fifty Eighth World Health Assembly. Public‑Health Problems
Caused by Harmful use of Alcohol; 2002. Available from: https://
www.who.int/substance_abuse/wha58_26_en.pdf?ua=1. [Last
accessed on 2019 Jun 26].
4. Mulia N, Zemore SE, Murphy R, Liu H, Catalano R. Economic loss
and alcohol consumption and problems during the 2008 to 2009
U.S. recession. Alcohol Clin Exp Res 2014;38:1026‑34.
5. Alcohol Use disorder; 2017. Available from: https://www.nhp.
gov.in/healthlyliving/alcohol‑use‑disorder. [Last accessed on
2019 Jun 26].
6. Easwaran M, Bazroy J, Jayaseelan V, Singh Z. Prevalence
and determinants of alcohol consumption among adult men
in a coastal area of South India. Int J Med Sci Public Health
2015;4(3):360‑4. Available from: https://www.ejmanager.com/
mnstemps/67/67‑1413004756.pdf. [Last accessed on 2020 Apr 16].
7. KumarSG, PremarajanKC, SubithaL, SugunaE, Vinayagamoorthy Kumar V. prevalence and pattern of alcohol consumption using
alcohol use disorders identification test (AUDIT) in rural Tamil
Nadu, India. J Clin Diagn Res 2013;7:1637‑9.
8. Rathod SD, Nadkarni A, Bhana A, Shidhaye R. Epidemiological
features of alcohol use in rural India: A population‑based
cross‑sectional study. BMJ Open 2015;5:e009802.
9. Sujiv A, Chinnakali P, Balajee K, Lakshminarayanan S, Kumar SG,
Roy G. Alcohol use and alcohol use disorder among male
outpatients in a primary care setting in rural Puducherry. Ind
Psychiatry J 2015;24:135‑9.
10. Pati S, Swain S, Mahapatra S, Hussain MA, Pati S. Prevalence,
pattern, and correlates of alcohol misuse among male patients
attending rural primary care in India. J Pharm Bioallied Sci
2017;9:66‑72.
11. Bute J, Kori S, Arora VK, Sahasrabuddhe A. Prevalence and
pattern of alcohol consumption among males attending primary
health care setting using AUDIT in rural Indore, Madhya Pradesh,
India. Int J Community Med Public Health 2018;5:4461. Available
from: http://www.ijcmph.com/index.php/ijcmph/article/
view/3534. [Last accessed on 2020 Apr 16].
12. Yamini M, Bharathnag N. Opportunistic screening for substance
abuse in primary health care setting in India: An operational
research. Int J Heal Sci Res 2019;9(8):35‑42.
13. Katić M. Opportunistic screening carried out in the family
medicine settings. Croat Med J 2008;49:110‑3.
14. World Health Organization. WHO Launches SAFER Alcohol
Control Initiative to Prevent and Reduce Alcohol‑Related Death
and Disability. WHO; 2018. Available from: https://www.who.
int/substance_abuse/safer/launch/en/. [Last accessed on
2019 Jun 26].
15. Davies EL, Maier LJ, Winstock AR, Ferris JA. Intention to
reduce drinking alcohol and preferred sources of support:
An international cross‑sectional study. J Subst Abuse Treat
2019;99:80‑7. Available from: https://www.sciencedirect.com/
science/article/pii/S0740547218303350. [Last accessed on
2020 Apr 16].
16. World Health Organization. The Alcohol, Smoking and Substance
Involvement Screening Test (ASSIST) Manual for use in Primary
Care. World Health Organization; 2010. Available from: www.
who.int/substance_abuse. [Last accessed on 2019 Jun 26].
17. World Health Organization. AUDIT: The Alcohol Use Disorders
Identification Test. World Health Organization; 2018. Available
from: https://www.who.int/substance_abuse/publications/
audit/en/. [Last accessed on 2019 Jun 24].
18. StataCorp. Stata Statistical Software: Release 14; 2017.
19. LauritsenJ, BruusM. EpiData Entry(version3.1). AComprehensive
Tool for Validated Entry and Documentation of Data; 2008.
Available from: https://www.epidata.dk/credit.htm19. [Last
accessed on 2020 Apr 16].
20. Thompson ML, Myers JE, Kriebel D. Prevalence odds ratio or
prevalence ratio in the analysis of cross sectional data: What is
to be done? Occup Environ Med 1998;55:272‑7.
21. Zou G. A modified poisson regression approach to prospective
studies with binary data. Am J Epidemiol 2004;159:702‑6.
22. Glanz K, Rimer BK. Theory at a Glance: A Guide for Health
Promotion Practice. National Institutes of Health; 2005. Available
from: https://cancercontrol.cancer.gov/brp/research/theories_
project/theory.pdf. [Last accessed on 2020 Apr 16].
23. Workplace Prevention Programmes. Available from: https://
www.unodc.org/pdf/india/publications/Partnerships_808_
Report/section_4.pdf. [Last accessed on 2019 Aug 12].
24. Zocchetti C, Consonni D, Bertazzi PA. Relationship between
prevalence rate ratios and odds ratios in cross‑sectional studies.
Int J Epidemiol 1997;26:220‑3.
Journal of Education and Health Promotion
Volume 10, Issue 9
September 2020
Pages 1-7

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