Pictograms to aid laypeople in identifying the addictiveness of gambling products (PictoGRRed study)
Abstract The structural addictive characteristics of gambling products are important targets for prevention, but can be unintuitive to laypeople. In the PictoGRRed (Pictograms for Gambling Risk Reduction) study, we aimed to develop pictograms that illustrate the main addictive characteristics of gam...
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| creator | Luquiens, Amandine Guillou, Morgane Giustiniani, Julie Barrault, Servane Caillon, Julie Delmas, Helena Achab, Sophia Bento, Bruno Billieux, Joël Brevers, Damien Brody, Aymeric Brunault, Paul Challet-Bouju, Gaëlle Chóliz, Mariano Clark, Luke Cornil, Aurélien Costes, Jean-Michel Devos, Gaetan Díaz, Rosa Estevez, Ana Grassi, Giacomo Hakansson, Anders Khazaal, Yasser King, Daniel Labrador, Francisco Lopez-Gonzalez, Hibai Newall, Philip Perales, José Ribadier, Aurélien Sescousse, Guillaume Sharman, Stephen Taquet, Pierre Varescon, Isabelle von Hammerstein, Cora Bonjour, Thierry Romo, Lucia Grall-Bronnec, Marie |
| description | Abstract The structural addictive characteristics of gambling products are important targets for prevention, but can be unintuitive to laypeople. In the PictoGRRed (Pictograms for Gambling Risk Reduction) study, we aimed to develop pictograms that illustrate the main addictive characteristics of gambling products and to assess their impact on identifying the addictiveness of gambling products by laypeople. We conducted a three-step study: (1) use of a Delphi consensus method among 56 experts from 13 countries to reach a consensus on the 10 structural addictive characteristics of gambling products to be illustrated by pictograms and their associated definitions, (2) development of 10 pictograms and their definitions, and (3) study in the general population to assess the impact of exposure to the pictograms and their definitions ( n = 900). French-speaking experts from the panel assessed the addictiveness of gambling products ( n = 25), in which the mean of expert’s ratings was considered as the true value. Participants were randomly provided with the pictograms and their definitions, or with a standard slogan, or with neither (control group). We considered the control group as representing the baseline ability of laypeople to assess the addictiveness of gambling products. Each group and the French-speaking experts rated the addictiveness of 14 gambling products. The judgment criterion was the intraclass coefficients (ICCs) between the mean ratings of each group and the experts, reflecting the level of agreement between each group and the experts. Exposure to the pictograms and their definition doubled the ability of laypeople to assess the addictiveness of gambling products compared with that of the group that read a slogan or the control group (ICC = 0.28 vs. 0.14 (Slogan) and 0.14 (Control)). Laypeople have limited awareness of the addictive characteristics of gambling products. The pictograms developed herein represent an innovative tool for universally empowering prevention and for selective prevention. |
| doi_str_mv | 10.1038/s41598-022-26963-9 |
| format | Article |
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In the PictoGRRed (Pictograms for Gambling Risk Reduction) study, we aimed to develop pictograms that illustrate the main addictive characteristics of gambling products and to assess their impact on identifying the addictiveness of gambling products by laypeople. We conducted a three-step study: (1) use of a Delphi consensus method among 56 experts from 13 countries to reach a consensus on the 10 structural addictive characteristics of gambling products to be illustrated by pictograms and their associated definitions, (2) development of 10 pictograms and their definitions, and (3) study in the general population to assess the impact of exposure to the pictograms and their definitions ( n = 900). French-speaking experts from the panel assessed the addictiveness of gambling products ( n = 25), in which the mean of expert’s ratings was considered as the true value. Participants were randomly provided with the pictograms and their definitions, or with a standard slogan, or with neither (control group). We considered the control group as representing the baseline ability of laypeople to assess the addictiveness of gambling products. Each group and the French-speaking experts rated the addictiveness of 14 gambling products. The judgment criterion was the intraclass coefficients (ICCs) between the mean ratings of each group and the experts, reflecting the level of agreement between each group and the experts. Exposure to the pictograms and their definition doubled the ability of laypeople to assess the addictiveness of gambling products compared with that of the group that read a slogan or the control group (ICC = 0.28 vs. 0.14 (Slogan) and 0.14 (Control)). Laypeople have limited awareness of the addictive characteristics of gambling products. 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In the PictoGRRed (Pictograms for Gambling Risk Reduction) study, we aimed to develop pictograms that illustrate the main addictive characteristics of gambling products and to assess their impact on identifying the addictiveness of gambling products by laypeople. We conducted a three-step study: (1) use of a Delphi consensus method among 56 experts from 13 countries to reach a consensus on the 10 structural addictive characteristics of gambling products to be illustrated by pictograms and their associated definitions, (2) development of 10 pictograms and their definitions, and (3) study in the general population to assess the impact of exposure to the pictograms and their definitions ( n = 900). French-speaking experts from the panel assessed the addictiveness of gambling products ( n = 25), in which the mean of expert’s ratings was considered as the true value. 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In the PictoGRRed (Pictograms for Gambling Risk Reduction) study, we aimed to develop pictograms that illustrate the main addictive characteristics of gambling products and to assess their impact on identifying the addictiveness of gambling products by laypeople. We conducted a three-step study: (1) use of a Delphi consensus method among 56 experts from 13 countries to reach a consensus on the 10 structural addictive characteristics of gambling products to be illustrated by pictograms and their associated definitions, (2) development of 10 pictograms and their definitions, and (3) study in the general population to assess the impact of exposure to the pictograms and their definitions ( n = 900). French-speaking experts from the panel assessed the addictiveness of gambling products ( n = 25), in which the mean of expert’s ratings was considered as the true value. Participants were randomly provided with the pictograms and their definitions, or with a standard slogan, or with neither (control group). We considered the control group as representing the baseline ability of laypeople to assess the addictiveness of gambling products. Each group and the French-speaking experts rated the addictiveness of 14 gambling products. The judgment criterion was the intraclass coefficients (ICCs) between the mean ratings of each group and the experts, reflecting the level of agreement between each group and the experts. Exposure to the pictograms and their definition doubled the ability of laypeople to assess the addictiveness of gambling products compared with that of the group that read a slogan or the control group (ICC = 0.28 vs. 0.14 (Slogan) and 0.14 (Control)). Laypeople have limited awareness of the addictive characteristics of gambling products. The pictograms developed herein represent an innovative tool for universally empowering prevention and for selective prevention.</abstract><pub>Nature Publishing Group</pub><doi>10.1038/s41598-022-26963-9</doi><orcidid>https://orcid.org/0000-0002-4764-1003</orcidid><orcidid>https://orcid.org/0000-0002-8556-3755</orcidid><orcidid>https://orcid.org/0000-0002-4743-3087</orcidid><orcidid>https://orcid.org/0000-0002-0068-0339</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Humanities and Social Sciences Psychology |
| title | Pictograms to aid laypeople in identifying the addictiveness of gambling products (PictoGRRed study) |
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