{"id":10033,"date":"2022-03-05T07:00:26","date_gmt":"2022-03-05T06:00:26","guid":{"rendered":"https:\/\/blogs.bmj.com\/bjsm\/?p=10033"},"modified":"2022-02-23T11:56:32","modified_gmt":"2022-02-23T10:56:32","slug":"mobile-app-review-for-doping-iat-a-programme-for-testing-implicit-attitude-towards-doping","status":"publish","type":"post","link":"https:\/\/blogs.bmj.com\/bjsm\/2022\/03\/05\/mobile-app-review-for-doping-iat-a-programme-for-testing-implicit-attitude-towards-doping\/","title":{"rendered":"Mobile App Review for Doping-IAT: A Programme for Testing Implicit Attitude towards Doping"},"content":{"rendered":"

NAME OF THE MOBILE APPLICATION:<\/strong><\/p>\n

Doping-IAT (accessible here: http:\/\/anti-doping.derwinchan.com\/implicitassociationtest.html<\/a>)<\/p>\n

CATEGORY OF THE MOBILE APPLICATION:<\/strong><\/p>\n

Sport<\/p>\n

PLATFORM:<\/strong><\/p>\n

Android, iOS, Windows, macOS.<\/p>\n

COST:<\/strong> Free<\/p>\n

ABOUT THE APP:<\/strong><\/p>\n

Doping-IAT is a mobile application that evaluates athletes\u2019 implicit attitude towards doping. This implicit measure aligns with the protocol of the Doping-IAT computer test that Chan and co-workers[1] developed and validated among athletes in Australia. The response of the Doping-IAT may reflect athletes\u2019 unconscious association of how much they like or dislike taking banned substances in sport.[1] With this digitalised version of Doping-IAT, athletes, researchers, and sport personnel may test athletes\u2019 or sport participants\u2019 implicit attitude towards doping using any mobile devices or computers.\"\"<\/p>\n

The key assessment of Doping-IAT is the word-sorting tasks within the blocks where users are asked to sort words (i.e., stimuli) into categories of \u201cI Like\u201d (e.g., freedom, happy), \u201cI Dislike\u201d (e.g., crash, evil) or \u201cDoping\u201d (e.g., diuretics, narcotics). Users respond to the stimuli by pressing either the left or the right button as fast and accurate as possible (see Figure 1).\u00a0<\/span><\/p>\n

Following the completion of two blocks of word-sorting tasks in the order chosen by the user (i.e., Block A \uf0e0 Block B, or Block B \uf0e0 Block A), Doping-IAT will automatically and instantly compute users\u2019 implicit attitude towards doping in a score, known as the Difference-Score (D-Score; Figure 2). The D-Score is an indicator of the extent to which someone holds a positive or negative implicit attitude towards doping. A positive D-Score denotes a greater implicit association towards doping, whilst a negative D-Score denotes a stronger implicit association to dislike doping. In addition to D-Score, Doping-IAT will also report the average reaction time and the number of correct responses in each block. Users may also retrieve and download the raw data of the Doping-IAT (by entering a unique ID of the test) for recording and analysis purposes.<\/p>\n

\"\"<\/p>\n

IS IT USEFUL FOR CLINICAL PRACTICE?<\/strong><\/p>\n

Using implicit association tests for measuring athletes\u2019 attitude towards doping may overcome the methodological limitations of traditional self-reported measures (e.g., Performance Enhancement Attitude Scale[2]) where the responses could be subjected to social desirability.[1, 3, 4] However, implicit doping attitude tests are typically not accessible to the general public because the execution of implicit association tests often requires certain software (e.g., E-Prime), laboratory setup (e.g., a computer workstation), and analytical procedures. Doping-IAT presents an evidence-based tool for measuring athletes\u2019 implicit attitude towards doping that can be run in most smartphones or computer devices. It is useful for athletes, sporting or anti-doping organisations, and researchers.<\/p>\n

PROS:<\/strong><\/p>\n