Online shopping in treatment-seeking patients with buying-shopping disorder.

Astrid Müller, Sabine Steins-Loeber, Patrick Trotzke, Birte Vogel, Ekaterini Georgiadou, Martina de Zwaan
Author Information
  1. Astrid Müller: Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Carl-Neuberg-Straße 1, Hannover 30625, Germany. Electronic address: mueller.astrid@mh-hannover.de.
  2. Sabine Steins-Loeber: 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. Patrick Trotzke: 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. Birte Vogel: Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Carl-Neuberg-Straße 1, Hannover 30625, Germany.
  5. Ekaterini Georgiadou: 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.
  6. Martina de Zwaan: Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Carl-Neuberg-Straße 1, Hannover 30625, Germany.

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.

Keywords

MeSH Term

Adult
Aged
Anxiety
Behavior, Addictive
Commerce
Consumer Behavior
Depression
Female
Humans
Internet
Male
Middle Aged
Patient Acceptance of Health Care
Regression Analysis
Young Adult

Word Cloud

Created with Highcharts 10.0.0BSDonlinedisorderanxietydepressiongeneralshoppingbuying-shoppingpatientssymptomsprobableseverityrelatedhigheranalysisstudiestreatment-seekingagePathologicalBuyingPBSbuyings-IATOnlineBACKGROUNDANDAIMS:e-commercebecomingimportantactivityarguedtraditionalmigratesretailmarketresultingpredominantlyaimscurrentstudyinvestigatemanyreportdeterminewhethersociodemographicvariablesMETHOD:posthocpooleddatacollectedwithinpreviousn = 122Mdn = 4250range20-68 years76%womenconductedAssessmentincludedshortversionInternetAddictionTestmodifiedsitess-IATshopScreenerinstrumentassessingregardlessenvironmentmeasuresRESULTS:336%samplemetthresholdHigherscoreslowerhierarchicalregressionscoredependentvariablepartnershipstatuss-IAT-shoppredictorsindicatedsignificantpositiveassociationbeyondCONCLUSION:findingsmayencouragefutureaddressingphenomenologicalcharacteristicsunderlyingfeaturesassociatedcomorbidityclinicalrelevanceaddictionCompulsiveInternet-use

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