A systematic review and meta-analysis on the clinical implications of probability discounting among individuals with Internet gaming disorder
Abstract The significance of probability discounting (PD) among individuals with Internet gaming disorder (IGD) remains unclear. Following the PRISMA guidelines, we systematically searched the PubMed, Embase, and ScienceDirect databases for English articles on Internet addiction that included compar...
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2021
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oai:doaj.org-article:f3d10d3b4a884a8e957c3786408697a82021-12-02T10:44:09ZA systematic review and meta-analysis on the clinical implications of probability discounting among individuals with Internet gaming disorder10.1038/s41598-021-82822-z2045-2322https://doaj.org/article/f3d10d3b4a884a8e957c3786408697a82021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82822-zhttps://doaj.org/toc/2045-2322Abstract The significance of probability discounting (PD) among individuals with Internet gaming disorder (IGD) remains unclear. Following the PRISMA guidelines, we systematically searched the PubMed, Embase, and ScienceDirect databases for English articles on Internet addiction that included comparison between individuals with and without IGD as well as probabilistic discounting task as the main outcome from January 1970 to July 2020 using the appropriate keyword strings. The primary outcome was the overall difference in rate of PD, while the secondary outcomes included the difference in PD with magnitude of probabilistic reward and response time of the PD task. Effect size (ES) was calculated through dividing the group means (e.g., h value or AUC) by the pooled standard deviations of the two groups. A total of five studies with 300 participants (i.e., IGD group, n = 150, mean age = 20.27 ± 2.68; healthy controls, n = 150, mean age = 20.70 ± 2.81) were analyzed. The IGD group was more willing to take risks in probabilistic gains but performances on probabilistic losses were similar between the two groups. The IGD group also exhibited a shorter response time (Hedge’s g = − 0.51; 95%CI = − 0.87 to − 0.15). Meta-regression demonstrated a positive correlation between maximum reward magnitude and PD rate (p < 0.04). However, significant publication bias was noted among the included studies (Egger’s test, p < 0.01). In conclusion, individuals with IGD seemed more impulsive in making risky decisions, especially when the potential gains were expected. Our findings not only supported the use of PD for assessing individuals with IGD but may also provide new insights into appropriate interventions.Weilun ChungCheuk-Kwan SunI.-Ting TsaiKuo-Chuan HungHsien-Jane ChiuRuu-Fen TzangPin-Yang YehYu-Shian ChengNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021) |
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Medicine R Science Q Weilun Chung Cheuk-Kwan Sun I.-Ting Tsai Kuo-Chuan Hung Hsien-Jane Chiu Ruu-Fen Tzang Pin-Yang Yeh Yu-Shian Cheng A systematic review and meta-analysis on the clinical implications of probability discounting among individuals with Internet gaming disorder |
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Abstract The significance of probability discounting (PD) among individuals with Internet gaming disorder (IGD) remains unclear. Following the PRISMA guidelines, we systematically searched the PubMed, Embase, and ScienceDirect databases for English articles on Internet addiction that included comparison between individuals with and without IGD as well as probabilistic discounting task as the main outcome from January 1970 to July 2020 using the appropriate keyword strings. The primary outcome was the overall difference in rate of PD, while the secondary outcomes included the difference in PD with magnitude of probabilistic reward and response time of the PD task. Effect size (ES) was calculated through dividing the group means (e.g., h value or AUC) by the pooled standard deviations of the two groups. A total of five studies with 300 participants (i.e., IGD group, n = 150, mean age = 20.27 ± 2.68; healthy controls, n = 150, mean age = 20.70 ± 2.81) were analyzed. The IGD group was more willing to take risks in probabilistic gains but performances on probabilistic losses were similar between the two groups. The IGD group also exhibited a shorter response time (Hedge’s g = − 0.51; 95%CI = − 0.87 to − 0.15). Meta-regression demonstrated a positive correlation between maximum reward magnitude and PD rate (p < 0.04). However, significant publication bias was noted among the included studies (Egger’s test, p < 0.01). In conclusion, individuals with IGD seemed more impulsive in making risky decisions, especially when the potential gains were expected. Our findings not only supported the use of PD for assessing individuals with IGD but may also provide new insights into appropriate interventions. |
format |
article |
author |
Weilun Chung Cheuk-Kwan Sun I.-Ting Tsai Kuo-Chuan Hung Hsien-Jane Chiu Ruu-Fen Tzang Pin-Yang Yeh Yu-Shian Cheng |
author_facet |
Weilun Chung Cheuk-Kwan Sun I.-Ting Tsai Kuo-Chuan Hung Hsien-Jane Chiu Ruu-Fen Tzang Pin-Yang Yeh Yu-Shian Cheng |
author_sort |
Weilun Chung |
title |
A systematic review and meta-analysis on the clinical implications of probability discounting among individuals with Internet gaming disorder |
title_short |
A systematic review and meta-analysis on the clinical implications of probability discounting among individuals with Internet gaming disorder |
title_full |
A systematic review and meta-analysis on the clinical implications of probability discounting among individuals with Internet gaming disorder |
title_fullStr |
A systematic review and meta-analysis on the clinical implications of probability discounting among individuals with Internet gaming disorder |
title_full_unstemmed |
A systematic review and meta-analysis on the clinical implications of probability discounting among individuals with Internet gaming disorder |
title_sort |
systematic review and meta-analysis on the clinical implications of probability discounting among individuals with internet gaming disorder |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/f3d10d3b4a884a8e957c3786408697a8 |
work_keys_str_mv |
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