Indian Journal of Psychological Medicine
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Year : 2017  |  Volume : 39  |  Issue : 1  |  Page : 40-45

A cross-sectional study to assess disability and its correlates among treatment seeking individuals with alcohol use disorders

Department of Psychiatry, National Drug Dependence Treatment Centre, All Institute of Medical Sciences, New Delhi, India

Correspondence Address:
Yatan Pal Singh Balhara
Department of Psychiatry, National Drug Dependence Treatment Centre, WHO Collaborating Centre on Substance Abuse, All India Institute of Medical Sciences, New Delhi
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/0253-7176.198941

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Background and Objectives: Alcohol use is a major risk factor for global disease burden, and excessive use leads to disability in the individual. This study aimed to assess the disability and its correlates among individuals with alcohol use disorders (AUDs). In addition, it assessed the quality of life measures in this population group. Methodology: A cross-sectional study on a sample (N = 62) from among treatment seekers for alcohol dependence. Diagnostic and Statistical Manual, Fifth Edition (DSM-5) criteria were used to assess disorder severity. The WHO Disability Assessment Schedule (WHODAS) 2.0 and World Health Organization Quality of Life-BREF were used to assess disability and quality of life, respectively. Descriptive statistics, correlation analysis, and linear regression analysis were used for comparative assessments. The level of statistical significance was kept at P < 0.05 for all the tests. Results: DSM-5 diagnosis of the individuals suggested a high severity of substance use disorder as an average of 8.8 (±1.8) criteria were fulfilled. WHODAS 2.0 revealed maximum disability in the domains of “participation in the society,” “household and work-related activities” and “cognitive functioning.” The quality of life measures indicate poor physical health, reduced work capacity, and cognitive dysfunction. A negative correlation was seen between the social dimensions of disability (getting along) and quality of life measures of psychological health (P = 0.026) and social relationships (P = 0.046), work domain of disability schedule and physical health score on quality of life evaluation (P = 0.001). Older age had greater impairment in the work domain (P = 0.040), and unemployment was associated with higher disability (P = 0.001). Unemployment and duration of alcohol use were the independent predictors of greater disability. Conclusions: Disability assessment using WHODAS 2.0 shows significant impairment in individuals with AUDs that is negatively correlated with quality of life measures.

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