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Koós M, Nagy L, Kraus SW, Demetrovics Z, Potenza MN, Gaudet É, Ballester-Arnal R, Batthyány D, Bergeron S, Billieux J, Briken P, Burkauskas J, Cárdenas-López G, Carvalho J, Castro-Calvo J, Chang YH, Chen L, Ciocca G, Corazza O, Csako RI, Fernandez DP, Fujiwara H, Fernandez EF, Fuss J, Gabrhelík R, Gewirtz-Meydan A, Gjoneska B, Gola M, Grubbs JB, Hashim HT, Hsieh YP, Islam MS, Ismail M, Jiménez-Martínez MC, Jurin T, Kalina O, Klein V, Költő A, Lee SK, Lewczuk K, Lochner C, López-Alvarado S, Lukavská K, Mayta-Tristán P, Miller DJ, Orosová O, Orosz G, Ponce FP, Quintana GR, Quintero Garzola GC, Ramos-Diaz J, Rigaud K, Rousseau A, Scanavino MDT, Schulmeyer MK, Sharan P, Shibata M, Shoib S, Sigre-Leirós V, Sniewski L, Spasovski O, Steibliene V, Stein DJ, Strizek J, Štulhofer A, Ünsal BC, Vaillancourt-Morel MP, Van Hout MC, Bőthe B. Why Do People Watch Pornography? Cross-Cultural Validation of the Pornography Use Motivations Scale (PUMS) and Its Short Form (PUMS-8). JOURNAL OF SEX RESEARCH 2024:1-16. [PMID: 38905162 DOI: 10.1080/00224499.2024.2359641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/23/2024]
Abstract
Motivations for pornography use may vary across gender identities, sexual orientations, and geographical regions, warranting examination to promote individual and public health. The aims of this study were to validate the Pornography Use Motivations Scale (PUMS) in a diverse, multicultural sample, and develop a short form (PUMS-8) that can assess a wide range of pornography use motivations. Using data from 42 countries (N = 75,117; Mage = 32.07; SDage = 12.37), enabled us to thoroughly evaluate the dimensionality, validity, and reliability of the Pornography Use Motivations Scale (PUMS), leading to the development of the more concise PUMS-8 short scale. Additionally, language-, nationality-, gender-, and sexual-orientation-based measurement invariance tests were conducted to test the comparability across groups. Both the PUMS and the PUMS-8 assess eight pornography use motivations, and both demonstrated excellent psychometric properties. Sexual Pleasure emerged as the most frequent motivation for pornography use across countries, genders, and sexual orientations, while differences were observed concerning other motivations (e.g. self-exploration was more prevalent among gender-diverse individuals than men or women). The motivational background of pornography use showed high similarity in the examined countries. Both the PUMS and the PUMS-8 are reliable and valid measurement tools to assess different types of motivations for pornography use across countries, genders, and sexual orientations. Both scales are recommended for use in research and clinical settings.
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Affiliation(s)
- Mónika Koós
- Institute of Forensic Psychiatry and Sex Research, University of Duisburg-Essen
- Institute of Psychology, ELTE Eötvös Loránd University
| | - Léna Nagy
- Institute of Forensic Psychiatry and Sex Research, University of Duisburg-Essen
- Institute of Psychology, ELTE Eötvös Loránd University
| | | | - Zsolt Demetrovics
- Institute of Psychology, ELTE Eötvös Loránd University
- Centre of Excellence in Responsible Gaming, University of Gibraltar
- College of Education, Psychology and Social Work, Flinders University
| | - Marc N Potenza
- Yale University School of Medicine
- Connecticut Council on Problem Gambling
| | | | - Rafael Ballester-Arnal
- Departmento de Psicología Básica, Clínica y Psicobiología, University Jaume I of Castellón
| | - Dominik Batthyány
- Institute for Behavioural Addictions, Sigmund Freud University Vienna
| | | | - Joël Billieux
- Institute of Psychology, University of Lausanne
- Center for Excessive Gambling, Addiction Medicine, Lausanne University Hospitals (CHUV)
| | - Peer Briken
- Institute for Sex Research, Sexual Medicine, and Forensic Psychiatry, University Medical Centre Hamburg-Eppendorf
| | - Julius Burkauskas
- Laboratory of Behavioral Medicine, Neuroscience Institute, Lithuanian University of Health Sciences
| | - Georgina Cárdenas-López
- Virtual Teaching and Cyberpsychology Laboratory, School of Psychology, National Autonomous University of Mexico
| | - Joana Carvalho
- William James Center for Research, Departamento de Educação e Psicologia, Universidade de Aveiro
| | - Jesús Castro-Calvo
- Department of Personality, Assessment, and Psychological Treatments, University of Valencia
| | - Yun-Hsuan Chang
- Institute of Gerontology, College of Medicine, National Cheng Kung University
- Institute of Behavioral Sciences, College of Medicine, National Cheng Kung University
| | - Lijun Chen
- Department of Psychology, College of Humanity and Social Science, Fuzhou University
| | - Giacomo Ciocca
- Section of Sexual Psychopathology, Department of Dynamic and Clinical Psychology, and Health Studies, Sapienza University of Rome
| | - Ornella Corazza
- Department of Clinical, Pharmaceutical and Biological Sciences, University of Hertfordshire
- Department of Psychology and Cognitive Science, University of Trento
| | - Rita I Csako
- Department of Psychology and Neuroscience, Auckland University of Technology
| | | | - Hironobu Fujiwara
- Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University
- Decentralized Big Data Team, RIKEN Center for Advanced Intelligence Project
| | | | - Johannes Fuss
- Institute of Forensic Psychiatry and Sex Research, Center for Translational Neuro- and Behavioral Sciences, University of Duisburg-Essen
| | - Roman Gabrhelík
- First Faculty of Medicine, Department of Addictology, Charles University
- Department of Addictology, General University Hospital in Prague
| | - Ateret Gewirtz-Meydan
- School of Social Work, Faculty of Social Welfare and Health Sciences, University of Haifa
| | | | - Mateusz Gola
- Institute of Psychlogy, Polish Academy of Sciences
- Institute for Neural Computations, University of California San Diego
| | - Joshua B Grubbs
- University of New Mexico
- Center for Alcohol, Substance use, And Addiction (CASAA), University of New Mexico
| | | | - Yi-Ping Hsieh
- Department of Social Work, University of North Dakota
| | - Md Saiful Islam
- Department of Public Health and Informatics, Jahangirnagar University
- Centre for Advanced Research Excellence in Public Health
| | | | | | - Tanja Jurin
- Department of Psychology, Humanities and Social Sciences, University of Zagreb
| | - Ondrej Kalina
- Department of Educational Psychology and Psychology of Health, Pavol Jozef Safarik University in Kosice
| | | | - András Költő
- Health Promotion Research Centre, University of Galway
| | - Sang-Kyu Lee
- Department of Psychiatry, Hallym University Chuncheon Sacred Heart Hospital
- Chuncheon Addiction Management Center
| | - Karol Lewczuk
- Institute of Psychology, Cardinal Stefan Wyszynski University
| | - Christine Lochner
- SAMRC Unit on Risk & Resilience in Mental Disorders, Stellenbosch University
| | | | - Kateřina Lukavská
- First Faculty of Medicine, Department of Addictology, Charles University
- Faculty of Education, Department of Psychology, Charles University
| | | | - Dan J Miller
- College of Healthcare Sciences, James Cook University
| | - Oľga Orosová
- Department of Educational Psychology and Psychology of Health, Pavol Jozef Safarik University in Kosice
| | | | | | - Gonzalo R Quintana
- Departamento de Psicología y Filosofía, Facultad de Ciencias Sociales, Universidad de Tarapacá
| | | | - Jano Ramos-Diaz
- Facultad de Ciencias de la Salud, Universidad Privada del Norte
| | | | | | - Marco De Tubino Scanavino
- Department of Psychiatry, Faculdade de Medicina, Universidade de São Paulo
- Experimental Pathophisiology Post Graduation Program, Faculdade de Medicina, Universidade de São Paulo
| | | | - Pratap Sharan
- Department of Psychiatry, All India Institute of Medical Sciences
| | - Mami Shibata
- Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University
| | | | - Vera Sigre-Leirós
- Institute of Psychology, University of Lausanne
- Institute of Legal Psychiatry, Lausanne University Hospitals (CHUV)
| | | | - Ognen Spasovski
- Faculty of Philosophy, University of Ss. Cyril and Methodius in Trnava
| | - Vesta Steibliene
- Laboratory of Behavioral Medicine, Neuroscience Institute, Lithuanian University of Health Sciences
| | - Dan J Stein
- SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town
| | | | | | - Berk C Ünsal
- Institute of Forensic Psychiatry and Sex Research, University of Duisburg-Essen
- Institute of Psychology, ELTE Eötvös Loránd University
| | | | | | - Beáta Bőthe
- Département de Psychologie, Université de Montréal
- Center de recherche interdisciplinary sur les problèmes conjugaux et les agressions sexuelles (CRIPCAS)
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Golder S, Walter B, Bengesser I, Kramer D, Muhl C, Tahmassebi N, Storz F, Markert C, Stark R. Compulsive sexual behavior disorder in an inpatient sample with substance use disorder. Sex Med 2024; 12:qfae003. [PMID: 38450258 PMCID: PMC10915581 DOI: 10.1093/sexmed/qfae003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Revised: 11/04/2023] [Accepted: 12/10/2023] [Indexed: 03/08/2024] Open
Abstract
Background Several studies indicate that compulsive sexual behavior disorder (CSBD) shares core elements with substance use disorder (SUD). These findings support the assumption of common mechanisms in addiction, which may lead to a higher tendency in patients with SUD to have comorbid CSBD. Nevertheless, this relationship between CSBD and SUD is poorly understood to date. Aim This study aimed to compare the prevalence of CSBD and its subtype pornography use disorder (PUD) between a SUD group and a matched control group. Herein, we aimed to test whether patients with SUD are more likely to have a comorbid CSBD/PUD. We further hypothesized that a higher CSBD/PUD prevalence in patients with SUD is accompanied by more pronounced CSBD- and PUD-related personal characteristics. Methods We assessed CSBD, PUD, and related personal characteristics in an inpatient SUD sample (N = 92) and a healthy control sample matched by age, gender, and educational level. Outcomes Primary outcomes were the diagnoses of CSBD/PUD as assessed by questionnaires. CSBD/PUD-related personal characteristics were the early onset of problematic pornography consumption, relationship status as a single person, a high sexual motivation, a high level of time spent watching pornography, and a high degree of problematic pornography consumption (Problematic Pornography Consumption Scale, short version). Results There was no significant difference between groups regarding CSBD prevalence (SUD sample, 3.3%; control sample, 7.6%) and PUD prevalence (SUD sample, 2.2%; control sample, 6.5%). We found relationship status as a single person and the sexual motivation dimension of importance of sex to be the only CSBD-related personal characteristics that were more pronounced in the SUD sample than the matched control group. Clinical Implications Results indicate no higher tendency for patients with SUD to develop comorbid CSBD/PUD, yet important vulnerabilities (eg, emotional dysregulation) should be considered when treating addictive disorder to prevent possible symptom displacement. Strengths and Limitations A strength of the study is that we compared a sample of patients with SUD with a matched control sample and used an instrument based on ICD-11 criteria for CSBD. Possible limitations are significant differences between the groups because of the restrictions in an inpatient clinic that may have influenced responses (eg, roommates) and that the control group was not screened for SUD. Therefore, the results should be interpreted with some caution. Conclusion We found no evidence of an overcomorbidity of SUD and CSBD/PUD. However, a higher rate of vulnerability factors for CSBD/PUD in the SUD sample might suggest some similarities between SUD and CSBD/PUD.
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Affiliation(s)
- Sarah Golder
- Department for Psychotherapy and Systems Neuroscience, University of Giessen, Giessen 35394, Germany
| | - Bertram Walter
- Department for Psychotherapy and Systems Neuroscience, University of Giessen, Giessen 35394, Germany
- Center for Mind, Brain and Behavior, Phillips-University Marburg and Justus-Liebig-University Giessen, Marburg/Giessen 35032, Germany
| | | | | | | | | | - Florian Storz
- Department for Psychotherapy and Systems Neuroscience, University of Giessen, Giessen 35394, Germany
| | - Charlotte Markert
- Department for Psychotherapy and Systems Neuroscience, University of Giessen, Giessen 35394, Germany
- Center for Mind, Brain and Behavior, Phillips-University Marburg and Justus-Liebig-University Giessen, Marburg/Giessen 35032, Germany
- Bender Institute of Neuroimaging, University of Giessen, Giessen 35394, Germany
| | - Rudolf Stark
- Department for Psychotherapy and Systems Neuroscience, University of Giessen, Giessen 35394, Germany
- Center for Mind, Brain and Behavior, Phillips-University Marburg and Justus-Liebig-University Giessen, Marburg/Giessen 35032, Germany
- Bender Institute of Neuroimaging, University of Giessen, Giessen 35394, Germany
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Glica A, Wizła M, Gola M, Lewczuk K. Hypo- or hyperfunction? Differential relationships between compulsive sexual behavior disorder facets and sexual health. J Sex Med 2023; 20:332-345. [PMID: 36763943 DOI: 10.1093/jsxmed/qdac035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 10/24/2022] [Accepted: 11/10/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND Previous studies linking compulsive sexual behavior disorder (CSBD) and sexual health have shown mixed results, which could be due to the fact that different CSBD facets may have differential relationships with sexual functioning. AIM As CSBD is a multidimensional disorder, we wanted to investigate whether distinct CSBD domains are differentially related to sexual health. METHODS Two online studies were conducted-the first on a convenience sample (812 Polish participants; mean [SD] age, 22.07 [5.91] years) and a replication study on a representative sample of Polish adults (n = 1526; 43.02 [14.37]). Hierarchical regression was employed with sexual functioning as a predicted variable and CSBD symptoms as predictors. OUTCOMES The Compulsive Sexual Behavior Disorder Scale was used to assess CSBD symptoms, and the Arizona Sexual Experience Scale was used to measure sexual dysfunction. RESULTS In study 1, CSBD salience (β = -.20, P < .001) predicted hyperfunction (ie, stronger sex drive, easier sexual arousal, easier vaginal lubrication/penile erection, easier ability to reach an orgasm, and more satisfying orgasms). Yet, CSBD negative consequences (β = .15, P = .001) and dissatisfaction (β = .22, P < .001) predicted hypofunction (ie, weaker sex drive, more difficulties in sexual arousal, greater difficulties in vaginal lubrication/penile erection, less ability to reach an orgasm, and less satisfying orgasms). Similar results were found in study 2: salience (β = -.26, P < .001) and relapse (β = -.11, P = .004) predicted hyperfunction, while negative consequences (β = .12, P < .001) and dissatisfaction (β = .12, P < .001) predicted hypofunction. CLINICAL IMPLICATIONS Our results stress the importance of assessing the severity of each group of symptoms in patients with CSBD to better understand possible difficulties in their sexual functioning. STRENGTHS AND LIMITATIONS Our studies are the first to evaluate the effects of each CSBD domain on sexual health. We also replicated results obtained from a convenience sample on a representative sample. The cross-sectional design of the current studies does not allow causal relations to be tested, so future longitudinal research should be carried out. We also gathered data from a general population-thus, it is important to replicate these results on patients diagnosed with CSBD. CONCLUSION Our research points out the differential impact of CSBD domains on sexual health: salience and relapse are related to sexual hyperfunction, while negative consequences and dissatisfaction to hypofunction.
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Affiliation(s)
- Agnieszka Glica
- Institute of Psychology, Cardinal Stefan Wyszynski University, Warsaw, Poland.,Laboratory of Language Neurobiology, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Magdalena Wizła
- Institute of Psychology, Cardinal Stefan Wyszynski University, Warsaw, Poland
| | - Mateusz Gola
- Swartz Center for Computational Neuroscience, Institute for Neural Computations, University of California, San Diego, CA, United States.,Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland
| | - Karol Lewczuk
- Institute of Psychology, Cardinal Stefan Wyszynski University, Warsaw, Poland
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Lewczuk K, Wizła M, Gola M. The Relation of Sexual Attitudes to Hypersexuality and Problematic Pornography Use. ARCHIVES OF SEXUAL BEHAVIOR 2023; 52:411-430. [PMID: 35896936 PMCID: PMC9328619 DOI: 10.1007/s10508-022-02358-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Revised: 05/24/2022] [Accepted: 05/26/2022] [Indexed: 05/02/2023]
Abstract
Previous studies have shown that specific attitudes related to moral convictions can have an important role in the development and maintenance of problematic sexual behavior symptoms. However, although other types of attitudes, like sexual attitudes, are potentially highly relevant, they have not yet been studied in this role. We investigated how four dimensions of sexual attitudes: Permissiveness, Birth Control, Communion and Instrumentality, contribute to problematic pornography use (PPU) and hypersexual disorder (HD) symptoms, controlling for religiosity, sex, age and relationship status. The study was administered through an online questionnaire and based on a representative sample of n = 1036 (Mage = 43.28, SD = 14.21; 50.3% women) Polish adult citizens. When adjusting for other variables, higher sexual Permissiveness positively predicted HD and PPU among both men (HD: β = .26, p < .001; PPU: β = .22, p < .001) and women (HD: β = .44, p < .001; PPU: β = .26; p < .001). Sexual Instrumentality positively, although weakly, contributed to HD severity among men (β = .11, p < .05). Attitudes reflecting higher support for responsible sexuality (Birth Control subscale) negatively and weakly predicted HD among women (β = - .11, p < .05). Permissiveness was also the only sexual attitude dimension that consistently predicted a higher frequency of sexual activity among men and women. Based on the cutoff criteria proposed by the authors of the used screening instruments (≥ 53 points for the Hypersexual Behavior Inventory and ≥ 4 points for the Brief Pornography Screen), the prevalence of being at risk for HD was 10.0% (men: 11.4%, women: 8.7%) and for PPU was 17.8% (men: 26.8%, women: 9.1%). Our results point to a significant contribution of sexual attitudes to problematic sexual behavior symptoms, which was not encapsulated by the previously studied influence of religious beliefs, although most of the obtained relationships were relatively weak. Particularly, a consistent link between permissive attitudes and both HD and PPU among men and women may indicate that permissive attitudes can potentially contribute to the development and maintenance of problematic sexual behavior. The prevalence of being at risk for PPU (and to some degree HD) in the current representative sample was high. Such results raise questions about the appropriateness of the proposed cutoff criteria and the risk of overpathologizing normative sexual activity, if the cutoff thresholds are not tailored adequately. The results have implications for the assessment, diagnosis and theory of problematic sexual behavior.
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Affiliation(s)
- Karol Lewczuk
- Institute of Psychology, Cardinal Stefan Wyszynski University, Wóycickiego 1/3, 01-938, Warsaw, Poland.
| | - Magdalena Wizła
- Institute of Psychology, Cardinal Stefan Wyszynski University, Wóycickiego 1/3, 01-938, Warsaw, Poland
| | - Mateusz Gola
- Swartz Center for Computational Neuroscience, Institute for Neural Computations, University of California, San Diego, CA, USA
- Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland
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Király O, Billieux J, King DL, Urbán R, Koncz P, Polgár E, Demetrovics Z. A comprehensive model to understand and assess the motivational background of video game use: The Gaming Motivation Inventory (GMI). J Behav Addict 2022; 11:796-819. [PMID: 35939353 PMCID: PMC9872527 DOI: 10.1556/2006.2022.00048] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 06/02/2022] [Accepted: 07/03/2022] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND AND AIMS The popularity of video gaming has generated significant interest in research methods to examine motivations for gaming. Current measures of gaming motives are limited by lack of scope and/or their applicability to specific game genres only. We aimed to create a comprehensive motivation inventory applicable to any gaming genre and to evaluate its psychometric properties in a large sample of highly engaged video gamers. METHODS Stage 1 of this project involved a systematic review that generated the items for the Gaming Motivation Inventory (GMI). Stages 2-4 involved an evaluation of the psychometric properties of the GMI. A sample of 14,740 video gamers (89.3% male; mean age 24.1 years) were recruited via an online survey promoted by a popular gaming magazine. RESULTS In Stage 2, twenty-six gaming motives were identified, which clustered into six higher-order dimensions (Mastery, Immersion/Escapism, Competition, Stimulation, Social, Habit/Boredom). In Stage 3, construct validity of the six higher-order motives was assessed by associations with gaming-related, personality, and psychological variables. In Stage 4, the relationships between motives and depression symptoms and gaming disorder symptoms were explored. Although gaming motives had weak associations with gaming genres, they were moderately related to variables such as competitiveness, sociability, and positive and negative affect. Gaming disorder symptoms were directly predicted by depression symptoms and indirectly via Immersion/Escapism, Habit/Boredom, and Competition motives. DISCUSSION AND CONCLUSIONS These findings support the notion that motives are one of the primary causes of gaming behavior and play an important role in predicting its problematic nature. The GMI is a psychometrically valid tool that will be useful for gaining insights into factors underlying gaming behaviors.
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Affiliation(s)
- Orsolya Király
- Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary,Corresponding author. E-mail:
| | - Joël Billieux
- Institute of Psychology, University of Lausanne, Lausanne, Switzerland,Centre for Excessive Gambling, Addiction Medicine, Lausanne University Hospitals, Lausanne, Switzerland
| | - Daniel L. King
- College of Education, Psychology, & Social Work, Flinders University, Adelaide, Australia
| | - Róbert Urbán
- Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Patrik Koncz
- Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary,Doctoral School of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Eszter Polgár
- Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Zsolt Demetrovics
- Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary,Centre of Excellence in Responsible Gaming, University of Gibraltar, Gibraltar, Gibraltar
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