
pmid: 17081703
Optimal cut-off points on the Severity of Dependence Scale (SDS) indicative of clinically significant dependence have been determined for a range of substance types. This study aims to determine a cut-off point on SDS that discriminates between the presence and absence of a DSM-IV diagnosis of alcohol dependence. A structured interview was administered to 90 alcohol users in Sydney, Australia. Receiver Operating Characteristic curve analysis confirmed the utility of the SDS-alcohol for characterising and diagnosing persons with respect to their alcohol-dependent status to an accuracy of 85%. A SDS score of 3 or above was determined as optimal for characterising alcohol dependence. Evidence is also provided confirming that the SDS-alcohol is a valid, reliable uni-dimensional scale for measuring alcohol dependence. It has been demonstrated that the SDS-alcohol can be used to characterise an individual's alcohol-dependent status. A cut-off value for SDS-alcohol provides additional meaning and value to the scale for clients and clinicians and will enable researchers to characterise the prevalence of alcohol dependence in their target populations.
Male, Psychometrics, Reproducibility of Results, Middle Aged, Severity of Illness Index, Alcoholism, ROC Curve, Surveys and Questionnaires, Humans, Female, Demography
Male, Psychometrics, Reproducibility of Results, Middle Aged, Severity of Illness Index, Alcoholism, ROC Curve, Surveys and Questionnaires, Humans, Female, Demography
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 72 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
