Karina Bernstein, Michael Patrick Schaub, Harald Baumeister, Matthias Berking, David Daniel Ebert, Anna-Carlotta Zarski
{"title":"通过互联网治疗网络使用障碍?一项双臂随机对照试验的结果","authors":"Karina Bernstein, Michael Patrick Schaub, Harald Baumeister, Matthias Berking, David Daniel Ebert, Anna-Carlotta Zarski","doi":"10.1556/2006.2023.00049","DOIUrl":null,"url":null,"abstract":"Abstract Background and aims Internet Use Disorders (IUDs) are emerging as a societal challenge. Evidence-based treatment options are scarce. Digital health interventions may be promising to deliver psychological treatment to individuals with IUDs directly in their online setting. The aim of this study was to evaluate the efficacy of a digital health intervention for IUDs compared to a waitlist control group (WCG). Methods In a two-armed randomized controlled trial, N = 130 individuals showing IUDs (Internet Addiction Test; IAT ≥49) were randomly allocated to the intervention group (IG; n = 65) or WCG ( n = 65). The intervention consisted of 7 sessions based on cognitive behavioral therapy. The primary outcome was IUD symptom severity measured via the IAT at post treatment 7 weeks after randomization. Secondary outcomes included IUD symptoms (Compulsive Internet Use Scale; CIUS), quality of life, depressive and anxiety symptoms, and other psychosocial variables associated with IUDs. Results Participants were on average 28.45 years old ( SD = 10.59) and 50% identified as women, 49% as men, and 1% as non-binary. The IG ( n = 65) showed significantly less IUD symptom severity (IAT) ( d = 0.54, 95% CI 0.19–0.89) and symptoms ( d = 0.57, 95% CI 0.22–0.92) than the WCG ( n = 65) at post-treatment. Study attrition was 20%. Effects on all other secondary outcomes were not significant. On average, participants completed 67.5% of the intervention. Discussion and Conclusions A digital health intervention could be a promising first step to reduce IUD symptom severity.","PeriodicalId":15049,"journal":{"name":"Journal of Behavioral Addictions","volume":"439 1","pages":"0"},"PeriodicalIF":6.6000,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Treating internet use disorders via the internet? Results of a two-armed randomized controlled trial\",\"authors\":\"Karina Bernstein, Michael Patrick Schaub, Harald Baumeister, Matthias Berking, David Daniel Ebert, Anna-Carlotta Zarski\",\"doi\":\"10.1556/2006.2023.00049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Background and aims Internet Use Disorders (IUDs) are emerging as a societal challenge. Evidence-based treatment options are scarce. Digital health interventions may be promising to deliver psychological treatment to individuals with IUDs directly in their online setting. The aim of this study was to evaluate the efficacy of a digital health intervention for IUDs compared to a waitlist control group (WCG). Methods In a two-armed randomized controlled trial, N = 130 individuals showing IUDs (Internet Addiction Test; IAT ≥49) were randomly allocated to the intervention group (IG; n = 65) or WCG ( n = 65). The intervention consisted of 7 sessions based on cognitive behavioral therapy. The primary outcome was IUD symptom severity measured via the IAT at post treatment 7 weeks after randomization. Secondary outcomes included IUD symptoms (Compulsive Internet Use Scale; CIUS), quality of life, depressive and anxiety symptoms, and other psychosocial variables associated with IUDs. Results Participants were on average 28.45 years old ( SD = 10.59) and 50% identified as women, 49% as men, and 1% as non-binary. The IG ( n = 65) showed significantly less IUD symptom severity (IAT) ( d = 0.54, 95% CI 0.19–0.89) and symptoms ( d = 0.57, 95% CI 0.22–0.92) than the WCG ( n = 65) at post-treatment. Study attrition was 20%. Effects on all other secondary outcomes were not significant. On average, participants completed 67.5% of the intervention. Discussion and Conclusions A digital health intervention could be a promising first step to reduce IUD symptom severity.\",\"PeriodicalId\":15049,\"journal\":{\"name\":\"Journal of Behavioral Addictions\",\"volume\":\"439 1\",\"pages\":\"0\"},\"PeriodicalIF\":6.6000,\"publicationDate\":\"2023-10-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Behavioral Addictions\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1556/2006.2023.00049\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Behavioral Addictions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1556/2006.2023.00049","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
Treating internet use disorders via the internet? Results of a two-armed randomized controlled trial
Abstract Background and aims Internet Use Disorders (IUDs) are emerging as a societal challenge. Evidence-based treatment options are scarce. Digital health interventions may be promising to deliver psychological treatment to individuals with IUDs directly in their online setting. The aim of this study was to evaluate the efficacy of a digital health intervention for IUDs compared to a waitlist control group (WCG). Methods In a two-armed randomized controlled trial, N = 130 individuals showing IUDs (Internet Addiction Test; IAT ≥49) were randomly allocated to the intervention group (IG; n = 65) or WCG ( n = 65). The intervention consisted of 7 sessions based on cognitive behavioral therapy. The primary outcome was IUD symptom severity measured via the IAT at post treatment 7 weeks after randomization. Secondary outcomes included IUD symptoms (Compulsive Internet Use Scale; CIUS), quality of life, depressive and anxiety symptoms, and other psychosocial variables associated with IUDs. Results Participants were on average 28.45 years old ( SD = 10.59) and 50% identified as women, 49% as men, and 1% as non-binary. The IG ( n = 65) showed significantly less IUD symptom severity (IAT) ( d = 0.54, 95% CI 0.19–0.89) and symptoms ( d = 0.57, 95% CI 0.22–0.92) than the WCG ( n = 65) at post-treatment. Study attrition was 20%. Effects on all other secondary outcomes were not significant. On average, participants completed 67.5% of the intervention. Discussion and Conclusions A digital health intervention could be a promising first step to reduce IUD symptom severity.
期刊介绍:
The aim of Journal of Behavioral Addictions is to create a forum for the scientific information exchange with regard to behavioral addictions. The journal is a broad focused interdisciplinary one that publishes manuscripts on different approaches of non-substance addictions, research reports focusing on the addictive patterns of various behaviors, especially disorders of the impulsive-compulsive spectrum, and also publishes reviews in these topics. Coverage ranges from genetic and neurobiological research through psychological and clinical psychiatric approaches to epidemiological, sociological and anthropological aspects.