{"id":11770,"date":"2025-11-07T06:00:39","date_gmt":"2025-11-07T05:00:39","guid":{"rendered":"https:\/\/blogs.bmj.com\/bjsm\/?p=11770"},"modified":"2025-11-14T17:47:55","modified_gmt":"2025-11-14T16:47:55","slug":"mobile-app-review-for-the-canned-beverage-sorting-task-an-online-assessment-tool-for-athletes-accuracy-in-avoiding-unintentional-doping","status":"publish","type":"post","link":"https:\/\/blogs.bmj.com\/bjsm\/2025\/11\/07\/mobile-app-review-for-the-canned-beverage-sorting-task-an-online-assessment-tool-for-athletes-accuracy-in-avoiding-unintentional-doping\/","title":{"rendered":"Mobile App Review for The Canned-Beverage Sorting Task: An Online Assessment Tool for Athletes\u2019 Accuracy in Avoiding Unintentional Doping"},"content":{"rendered":"<p style=\"font-weight: 400\"><strong>Name of the Application<\/strong>: Canned-Beverage Sorting Task (accessible here: <a href=\"http:\/\/www.derwinchan.com\/Canned-Beverage-Sorting-Task-mobile-devi\">http:\/\/www.derwinchan.com\/Canned-Beverage-Sorting-Task-mobile-devi<\/a>)<\/p>\n<p style=\"font-weight: 400\"><strong>Category of the mobile application: Sport<\/strong><\/p>\n<p style=\"font-weight: 400\"><strong>Platform<\/strong>: Android, iOS, Windows, macOS.<\/p>\n<p style=\"font-weight: 400\"><strong>Cost<\/strong>: Free<\/p>\n<h2 style=\"font-weight: 400\">About the App<\/h2>\n<p><span style=\"font-weight: 400\">Unintentional doping happens when athletes inadvertently violate the anti-doping code of the World Anti-Doping Agency. Accidentally consuming supplements or energy products that contain (or contaminated with) banned substances is often regarded as the main reason behind unintentional doping (Barker et al., 2025). The Canned Beverage Sorting Task is a web-based tool that assesses athletes\u2019 accuracy in identifying which beverages are safe to consume without risking anti-doping rule violations. <\/span><\/p>\n<p>The task measures how accurately athletes can identify beverages containing banned substances and whether they avoid products without clear ingredient labels. Initial evidencesuggests that the task is negatively associated with athletes\u2019 implicit doping attitude (Chan et al., 2025), which may relate to doping behavior (Brand et al., 2014; Petr\u00f3czi et al., 2008).<\/p>\n<h2 style=\"font-weight: 400\">How it works<\/h2>\n<p style=\"font-weight: 400\">The task itself consists of 8 different beverage items: some are safe (do not contain any banned performance-enhancing substances) while others are unsafe (banned performance-enhancing substances are present) canned-beverages (see Figure 1). Each beverage appears four times in a random order, creating in 32 total trials.<\/p>\n<p style=\"font-weight: 400\">Each beverage appears individually and can be examined using the zoom function (pinch-to-zoom for smartphone users, and double clicking\/scrolling for computer users).<\/p>\n<p><strong>Figure 1: Canned-beverage sorting task stimuli (8 variations)<\/strong><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-11773\" src=\"https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/11\/Screenshot-2025-11-06-at-11.28.25-300x232.png\" alt=\"\" width=\"300\" height=\"232\" srcset=\"https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/11\/Screenshot-2025-11-06-at-11.28.25-300x232.png 300w, https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/11\/Screenshot-2025-11-06-at-11.28.25-768x595.png 768w, https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/11\/Screenshot-2025-11-06-at-11.28.25-640x496.png 640w, https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/11\/Screenshot-2025-11-06-at-11.28.25.png 1366w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p><strong>Figure 2: Example of the canned-beverage sorting task.<\/strong><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-11772\" src=\"https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/11\/Screenshot-2025-11-06-at-11.28.34-186x300.png\" alt=\"\" width=\"186\" height=\"300\" srcset=\"https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/11\/Screenshot-2025-11-06-at-11.28.34-186x300.png 186w, https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/11\/Screenshot-2025-11-06-at-11.28.34-640x1031.png 640w, https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/11\/Screenshot-2025-11-06-at-11.28.34.png 648w\" sizes=\"auto, (max-width: 186px) 100vw, 186px\" \/><\/p>\n<p style=\"font-weight: 400\">Participants then categorise each beverage as either \u201ccan drink\u201d or \u201ccannot drink\u201dbased on the ingredients list (see Figure 2). Mobile users can touch the left\/right boxes on the screen to respond, whereas computer users can use the arrow keys \u201c\u2190\u201d and \u201c\u2192\u201d on the keyboard. Beverages that contain banned performance-enhancing substances or lack a clear ingredients list should be marked as \u201ccannot drink\u201d (Chan et al., 2015; Chan et al., 2025), while those free from banned performance-enhancing substances should be marked as \u201ccan drink\u201d. Instant feedback is provided if the answer is incorrect.<\/p>\n<p style=\"font-weight: 400\">At the end of the task, an automatically generated test result displays the total number of correct responses (see Figure 3). Participants can record their participant ID to access their results later and download raw-score data in Excel format (.CSV file) directly.<\/p>\n<p><strong>Figure 3: Example results of the canned-beverage sorting task.<\/strong><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-11771\" src=\"https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/11\/Screenshot-2025-11-06-at-11.28.42-268x300.png\" alt=\"\" width=\"268\" height=\"300\" srcset=\"https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/11\/Screenshot-2025-11-06-at-11.28.42-268x300.png 268w, https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/11\/Screenshot-2025-11-06-at-11.28.42-768x861.png 768w, https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/11\/Screenshot-2025-11-06-at-11.28.42-640x718.png 640w, https:\/\/blogs.bmj.com\/bjsm\/files\/2025\/11\/Screenshot-2025-11-06-at-11.28.42.png 774w\" sizes=\"auto, (max-width: 268px) 100vw, 268px\" \/><\/p>\n<h2 style=\"font-weight: 400\">Results and use for clinical practice\/research<\/h2>\n<p>Previous research examining unintentional doping avoidance used a natural experimental design in which athletes were offered an unfamiliar brand of lollipop (Chan et al., 2015). Building on lollipop protocol, the current canned-beverage task offers a more user-friendly alternative for assessing athletes\u2019 responses when exposed to beverages that may contain banned performance-enhancing substances.<\/p>\n<p style=\"font-weight: 400\">As a web-based tool, it requires no actual substance consumption, eliminating the risk of unintentional doping during assessment. This tool effectively simulates real-life decision making and can be administered remotely without face-to-face interaction or specialized computer software. As such, it has strong potential for both clinical and research applications in unintentional doping prevention.<\/p>\n<p style=\"font-weight: 400\"><strong>Pros: <\/strong><\/p>\n<ul>\n<li>Works on most smartphones (iOS and Android) or computers (Windows, macOS)<\/li>\n<li>Free of charge with no advertisements<\/li>\n<li>Does not require installation of software<\/li>\n<li>Provides bjective assessment of accuracy in avoiding unintentional doping<\/li>\n<li>Online hypothetical scenario that avoids actual consumption<\/li>\n<li>Provides instant summary score and raw data for further analysis<\/li>\n<\/ul>\n<p style=\"font-weight: 400\"><strong>Cons: <\/strong><\/p>\n<ul>\n<li>Requires internet connection<\/li>\n<li>Available in English only<\/li>\n<li>Users should have some basic knowledge about the categories of banned performance-enhancing substances in sport (i.e., steroids)<\/li>\n<\/ul>\n<h4 style=\"font-weight: 400\">References<\/h4>\n<p style=\"font-weight: 400\">Brand, R., Heck, P., &amp; Ziegler, M. (2014). Illegal performance enhancing drugs and doping in sport: a picture-based brief implicit association test for measuring athletes\u2019 attitudes. <em>Substance Abuse Treatment, Prevention, and Policy<\/em>,<em>9<\/em>(1), 7. <a href=\"https:\/\/doi.org\/10.1186\/1747-597X-9-7\">https:\/\/doi.org\/10.1186\/1747-597X-9-7<\/a><\/p>\n<p style=\"font-weight: 400\">Chan, D. K. C., Donovan, R. J., Lentillon-Kaestner, V., Hardcastle, S. J., Dimmock, J. A., Keatley, D. A., &amp; Hagger, M. S. (2015). Young athletes&#8217; awareness and monitoring of anti-doping in daily life: Does motivation matter? <em>Scandinavian Journal of Medicine &amp; Science in Sports<\/em>,<em> 25<\/em>(6), e655-e663. <a href=\"https:\/\/doi.org\/10.1111\/sms.12362\">https:\/\/doi.org\/10.1111\/sms.12362<\/a><\/p>\n<p style=\"font-weight: 400\">Chan, D. K. C., Yip, L. M. H., Tang, T. C. W., Yung, P. S.-H., Gucciardi, D. F., &amp; Hagger, M. S. (2025). Implicit doping attitude and athletes&#8217; accuracy in avoiding unintentional doping when being offered beverages with banned performance-enhancing substances. <em>Journal of Science and Medicine in Sport<\/em>.<a href=\"https:\/\/doi.org\/10.1016\/j.jsams.2025.04.009\">https:\/\/doi.org\/10.1016\/j.jsams.2025.04.009<\/a><\/p>\n<p style=\"font-weight: 400\">Petr\u00f3czi, A., Aidman, E. V., &amp; Nepusz, T. (2008). Capturing doping attitudes by self-report declarations and implicit assessment: A methodology study. <em>Substance Abuse Treatment, Prevention, and Policy<\/em>,<em> 3<\/em>(9). <a href=\"https:\/\/doi.org\/10.1186\/1747-597X-3-9\">https:\/\/doi.org\/10.1186\/1747-597X-3-9<\/a><\/p>\n<p style=\"font-weight: 400\"><em><span style=\"font-weight: 400\">The development of this mobile app and the current review are supported by the World Anti-Doping Agency (WADA). The research funding of these projects was awarded to Derwin K. C. Chan in 2017 and 2025. Correspondence concerning this article should be addressed to Derwin K. C. Chan, Department of Social Sciences, Hong Kong Metropolitan University, Hong Kong, China. Email:\u00a0<\/span><a href=\"mailto:derwin@eduhk.hk\"><span style=\"font-weight: 400\">dchankc@hkmu.edu.hk<\/span><\/a><\/em><\/p>\n<p style=\"font-weight: 400\"><strong>Authors:<\/strong><\/p>\n<p><span style=\"font-weight: 400\">Tracy C. W. Tang (<\/span><span style=\"font-weight: 400\">1)<\/span><\/p>\n<p><span style=\"font-weight: 400\">Patrick Shu-Hang Yung (<\/span><span style=\"font-weight: 400\">1)<\/span><\/p>\n<p><span style=\"font-weight: 400\">Daniel F. Gucciardi (<\/span><span style=\"font-weight: 400\">2)<\/span><\/p>\n<p><span style=\"font-weight: 400\">Knuckles Ming Fai Cheung (<\/span><span style=\"font-weight: 400\">3)<\/span><\/p>\n<p><span style=\"font-weight: 400\">Martin S. Hagger (<\/span><span style=\"font-weight: 400\">4, 5)<\/span><\/p>\n<p><span style=\"font-weight: 400\">Derwin King Chung Chan (<\/span><span style=\"font-weight: 400\">6, 1)<\/span><\/p>\n<p><span style=\"font-weight: 400\">1.The Chinese University of Hong Kong, Hong Kong, China<\/span><\/p>\n<p><span style=\"font-weight: 400\">2. Curtin University, Australia<\/span><\/p>\n<p><span style=\"font-weight: 400\">3. App Mocha Limited, Hong Kong, China<\/span><\/p>\n<p><span style=\"font-weight: 400\">4. University of California, Merced, USA<\/span><span style=\"font-weight: 400\">4<\/span><\/p>\n<p><span style=\"font-weight: 400\">5. University of Jyv\u00e4skyl\u00e4, Finland<\/span><span style=\"font-weight: 400\">5<\/span><\/p>\n<p style=\"font-weight: 400\"><span style=\"font-weight: 400\">6. Hong Kong Metropolitan University, Hong Kong, China<\/span><\/p>\n<p><!--TrendMD v2.4.8--><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Name of the Application: Canned-Beverage Sorting Task (accessible here: http:\/\/www.derwinchan.com\/Canned-Beverage-Sorting-Task-mobile-devi) Category of the mobile application: Sport Platform: Android, iOS, Windows, macOS. Cost: Free About the App Unintentional doping happens when athletes inadvertently violate the anti-doping code of the World Anti-Doping Agency. Accidentally consuming supplements or energy products that contain (or contaminated with) banned substances is [&#8230;]<\/p>\n<p><a class=\"btn btn-secondary understrap-read-more-link\" href=\"https:\/\/blogs.bmj.com\/bjsm\/2025\/11\/07\/mobile-app-review-for-the-canned-beverage-sorting-task-an-online-assessment-tool-for-athletes-accuracy-in-avoiding-unintentional-doping\/\">Read More&#8230;<\/a><\/p>\n","protected":false},"author":464,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[8300,16442,16443,16444,16068],"class_list":["post-11770","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-anti-doping","tag-app","tag-athlete-education","tag-athlete-testing","tag-featured"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Mobile App Review for The Canned-Beverage Sorting Task: An Online Assessment Tool for Athletes\u2019 Accuracy in Avoiding Unintentional Doping - BJSM blog - social media&#039;s leading SEM voice<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blogs.bmj.com\/bjsm\/2025\/11\/07\/mobile-app-review-for-the-canned-beverage-sorting-task-an-online-assessment-tool-for-athletes-accuracy-in-avoiding-unintentional-doping\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Mobile App Review for The Canned-Beverage Sorting Task: An Online Assessment Tool for Athletes\u2019 Accuracy in Avoiding Unintentional Doping - BJSM blog - social media&#039;s leading SEM voice\" \/>\n<meta property=\"og:description\" content=\"Name of the Application: Canned-Beverage Sorting Task (accessible here: http:\/\/www.derwinchan.com\/Canned-Beverage-Sorting-Task-mobile-devi) Category of the mobile application: Sport Platform: Android, iOS, Windows, macOS. 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