No significant DIF was found by education, SLI or area of residence. There were no significant differences among the different AUDIT versions in predicting AUD. Each version was evaluated using factor, reliability and validity, and differential item functioning (DIF) analysis by age, education, standard of living index (SLI), and area of residence.Ī single factor solution was found for each version with lower factor loadings for items on guilt and concern. We created shorter versions of the AUDIT by (a) collapsing AUDIT item responses into three and two categories and (b) deleting two items with the lowest factor loadings. Drinkers completed the AUDIT and an AUD measure. We studied different versions of the Alcohol Use Disorders Identification Test (AUDIT) comparing their performance to the full AUDIT and an AUD measure as screeners for alcohol use problems in Goa, India.ĭata from a general population study on 743 male drinkers aged 18-49 years are reported.

The ADDQoL has good psychometric properties and provides clinicians and researchers with a useful tool for comprehensively assessing quality of life in adults with diabetes.Efficient alcohol screening measures are important to prevent or treat alcohol use disorders (AUDs). A validation matrix provides support for the convergent and divergent validity of the measure, as does the ADDQoL's ability to discriminate between respondents based on insulin dependence and complications. Although a strict single-factor structure for the ADDQoL was not demonstrated, the results overall support an interpretation of essential unidimensionality. Data analysis investigated the feasibility of using the ADDQoL in a large, population-based survey internal consistency adherence to a single-factor structure and convergent/discriminant validity.ĭata support the feasibility of using the ADDQoL in population-based survey research.

This study aims to analyse the psychometric properties of the most recent 19 item version of the Audit of Diabetes-Dependent Quality of Life (ADDQoL) in a large, population-based sample of adults living in Australia.Ī total of 3,951 people living with diabetes completed the ADDQoL as part of the Living With Diabetes Study.

Reliability and validity of audit scale