Astrid Müller1, Sabine Steins-Loeber2, Patrick Trotzke3, Birte Vogel4, Ekaterini Georgiadou5, Martina de Zwaan4. 1. Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Carl-Neuberg-Straße 1, Hannover 30625, Germany. Electronic address: mueller.astrid@mh-hannover.de. 2. Department of Clinical Psychology and Psychotherapy, Otto Friedrich University of Bamberg, Markusplatz 3, Bamberg 96047, Germany. Electronic address: sabine.steins-loeber@uni-bamberg.de. 3. Department of General Psychology: Cognition & Center for Behavioral Addiction Research (CeBAR), University of Duisburg-Essen, Forsthausweg 2, 47048 Duisburg, Duisburg, Germany. Electronic address: patrick.trotzke@uni-due.de. 4. Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Carl-Neuberg-Straße 1, Hannover 30625, Germany. 5. Department of Psychosomatic Medicine and Psychotherapy, Friedrich-Alexander University Erlangen-Nuremberg, Schwabachanlage 6, 91054 Erlangen, Germany; Department of Psychiatry and Psychotherapy, Paracelsus Medical University Nuremberg, Prof.-Ernst-Nathan-Str. 1, 90419 Nuremberg, Germany. Electronic address: ekaterini.georgiadou@klinikum-nuernberg.de.
Abstract
BACKGROUND AND AIMS: With e-commerce becoming an important shopping activity, it has been argued that traditional buying-shopping disorder (BSD) migrates to the online retail market resulting in BSD predominantly online. The aims of the current study were to investigate how many patients with BSD report symptoms of online BSD, and to determine whether symptoms of probable online BSD are related to sociodemographic variables, anxiety, depression, and a higher severity of general BSD. METHOD: A post hoc analysis of pooled data collected within previous studies (n = 122 treatment-seeking patients with BSD; age Mdn = 42.50, range 20-68 years; 76% women) was conducted. Assessment included the short version of the Internet Addiction Test modified for online shopping sites (s-IATshop), the Pathological Buying Screener (PBS) as an instrument assessing BSD in general, regardless of the buying or shopping environment, and measures for anxiety and depression. RESULTS: 33.6% of the sample met the s-IAT threshold for probable online BSD. Higher s-IAT scores were related to lower age and to a higher severity of anxiety, depression and general BSD. A hierarchical regression analysis with general BSD (PBS score) as dependent variable and partnership status, symptoms of anxiety, depression and online BSD (s-IAT-shop) as predictors indicated a significant positive association of probable online BSD with the severity of general BSD above and beyond anxiety and depression. CONCLUSION: The findings may encourage future studies addressing phenomenological characteristics, underlying features, associated comorbidity, and clinical relevance of online BSD.
BACKGROUND AND AIMS: With e-commerce becoming an important shopping activity, it has been argued that traditional buying-shopping disorder (BSD) migrates to the online retail market resulting in BSD predominantly online. The aims of the current study were to investigate how many patients with BSD report symptoms of online BSD, and to determine whether symptoms of probable online BSD are related to sociodemographic variables, anxiety, depression, and a higher severity of general BSD. METHOD: A post hoc analysis of pooled data collected within previous studies (n = 122 treatment-seeking patients with BSD; age Mdn = 42.50, range 20-68 years; 76% women) was conducted. Assessment included the short version of the Internet Addiction Test modified for online shopping sites (s-IATshop), the Pathological Buying Screener (PBS) as an instrument assessing BSD in general, regardless of the buying or shopping environment, and measures for anxiety and depression. RESULTS: 33.6% of the sample met the s-IAT threshold for probable online BSD. Higher s-IAT scores were related to lower age and to a higher severity of anxiety, depression and general BSD. A hierarchical regression analysis with general BSD (PBS score) as dependent variable and partnership status, symptoms of anxiety, depression and online BSD (s-IAT-shop) as predictors indicated a significant positive association of probable online BSD with the severity of general BSD above and beyond anxiety and depression. CONCLUSION: The findings may encourage future studies addressing phenomenological characteristics, underlying features, associated comorbidity, and clinical relevance of online BSD.
Authors: Matthias Brand; Hans-JÜrgen Rumpf; Zsolt Demetrovics; Astrid MÜller; Rudolf Stark; Daniel L King; Anna E Goudriaan; Karl Mann; Patrick Trotzke; Naomi A Fineberg; Samuel R Chamberlain; Shane W Kraus; Elisa Wegmann; JoËl Billieux; Marc N Potenza Journal: J Behav Addict Date: 2020-06-30 Impact factor: 7.772
Authors: Astrid Müller; Nora M Laskowski; Patrick Trotzke; Kathina Ali; Daniel B Fassnacht; Martina de Zwaan; Matthias Brand; Michael Häder; Michael Kyrios Journal: J Behav Addict Date: 2021-04-13 Impact factor: 6.756