Research Article
Factor Structure of CIWA-Ar in Alcohol Withdrawal
Ajay Kumar Bakhla,
1
Christoday R. J. Khess,
2
Vijay Verma,
3
Mahesh Hembram,
4
Samir Kumar Praharaj,
5
and Subhas Soren
4
1
Department of Psychiatry, Rajendra Institute of Medical Sciences (RIMS), Ranchi, Jharkhand 834009, India
2
Department of Psychiatry, Central Institute of Psychiatry, Ranchi, Jharkhand 834006, India
3
Tulasi Psychiatric and Rehabilitation Centre, Mehrauli, New Delhi 110030, India
4
Department of Psychiatry, Ranchi Institute of Neuropsychiatry and Allied Sciences, Ranchi, Jharkhand 834006, India
5
Department of Psychiatry, Kasturba Medical College, Manipal, Karnataka 576104, India
Correspondence should be addressed to Ajay Kumar Bakhla; ajaybakhla@gmail.com
Received 15 October 2013; Accepted 17 March 2014; Published 6 April 2014
Academic Editor: Otto M. Lesch
Copyright © 2014 Ajay Kumar Bakhla et al. is is an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
cited.
Objective. To identify the underlying factor structure of alcohol withdrawal syndrome, as measured with CIWA-Ar. Methods.
Exploratory factor analysis was conducted on the items of CIWA-Ar. On 201 alcohol-dependent male patients seeking treatment
for alcohol withdrawal at 36 hours of abstinence. Results. A three-factor solution was obtained that accounted for 68.74% of total
variance. First factor had loading from four items (34.34% variance), second factor also had four items (24.25% variance), and
the third had two items (10.04% variance). Conclusions. Factor analysis reveals the existence of multidimensionality of alcohol
withdrawal as measured with CIWA-Ar and we found three factors that can be named as delirious, autonomic and nonspecific
factors.
1. Introduction
Alcohol withdrawal syndrome (AWS) is characterized by
varied symptoms that range from mild to severe intensity
depending on several factors including the quantity, fre-
quency and duration of alcohol intake, and the number of
prior withdrawal episodes, as well as individual differences in
the vulnerability [1–4]. Symptoms usually present themselves
within 6 to 24 hours aſter cessation of alcohol intake [5, 6].
Subtyping of the AWS has been attempted in the past,
as Gross [7] conceptualized and proposed 3 constellations of
alcohol withdrawal symptoms: factor 1 hallucinogenic that
consisted of nausea, tinnitus, visual disturbance, pruritus,
parasthesia, muscle pain, agitation, sleep disturbance, tactile
hallucinations, and hallucinations which are auditory or
visual or both; factor 2 affective and physiological that
consisted of anxiety, depression, tremor, and sweats; and
factor 3 delirium that consisted of clouding of the sensorium,
impairment of consciousness, and impairment of contact
with the observer. A cluster analytic study [8] identified three
different symptoms clusters of alcohol withdrawal, namely,
CNS excitation, adrenergic hyperactivity, and delirium.
Several rating instruments have been used to measure
severity of alcohol withdrawal [9]. Among them, the most
commonly used observer-rated scale is the 10-item clinical
institute withdrawal assessment-alcohol, revised (CIWA-Ar)
[10]. It has been proposed that alcohol withdrawal symptoms
in CIWA-Ar appear multidimensional. A PubMed search
supplemented with manual search revealed a single factor
analytic study of CIWA-Ar [11]. e study by Pittman et
al. [11] was to explore the relationship between AWSC and
CIWA-Ar, for which they carried out study on 127 male
inpatients of alcohol dependence with principle components
factor extraction with varimax rotation of CIWA-Ar, a self-
rated—alcohol withdrawal symptoms checklist (AWSC) and
on combined items of CIWA-Ar and AWSC. ey found
three, five, and seven factor solution, respectively, for CIWA-
Ar, AWSC, and combination of CIWA-Ar and AWSC. e
analysis of CIWA-Ar was done on 7 items as 3 items
had zero variance. e first factor (variance 23.9%) was
Hindawi Publishing Corporation
Journal of Addiction
Volume 2014, Article ID 745839, 7 pages
http://dx.doi.org/10.1155/2014/745839