IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i18p6907-d416869.html
   My bibliography  Save this article

Three Diagnoses for Problematic Hypersexuality; Which Criteria Predict Help-Seeking Behavior?

Author

Listed:
  • Piet van Tuijl

    (Department of Psychology, Open Universiteit, 6419 AT Heerlen, The Netherlands)

  • Aerjen Tamminga

    (Psychologen Nederland (PsyNed), 1062 GD Amsterdam, The Netherlands)

  • Gert-Jan Meerkerk

    (Instituut voor Onderzoek naar Leefwijzen & Verslaving (IVO), 2595 AA Den Haag, The Netherlands)

  • Peter Verboon

    (Department of Psychology, Open Universiteit, 6419 AT Heerlen, The Netherlands)

  • Ruslan Leontjevas

    (Department of Psychology, Open Universiteit, 6419 AT Heerlen, The Netherlands)

  • Jacques van Lankveld

    (Department of Psychology, Open Universiteit, 6419 AT Heerlen, The Netherlands)

Abstract

This study aimed to assess the best combination of indicators of problematic hypersexuality (PH), in a survey ( n = 58,158) targeting individuals wondering if they were sex addicted. The survey allowed for testing of criteria from three theoretical models used to conceptualize PH. Factor analyses for women and men yielded an interpretable grouping of indicators consisting of four factors. In subsequent logistic regressions, these factors were used as predictors for experiencing the need for help for PH. The factors Negative Effects and Extreme positively predicted experiencing the need for help, with Negative Effects as the most important predictor for both women and men. This factor included, among others, withdrawal symptoms and loss of pleasure. The Sexual Desire factor negatively predicted the need for help, suggesting that for the targeted population more sexual desire leads to less PH. The Coping factor did not predict experiencing the need for help. Outcomes show that a combination of indicators from different theoretical models best indicates the presence of PH. Therefore, a measurement instrument to assess existence and severity of PH should consist of such a combination. Theoretically, this study suggests that a more comprehensive model for PH is needed, surpassing existing conceptualizations of PH.

Suggested Citation

  • Piet van Tuijl & Aerjen Tamminga & Gert-Jan Meerkerk & Peter Verboon & Ruslan Leontjevas & Jacques van Lankveld, 2020. "Three Diagnoses for Problematic Hypersexuality; Which Criteria Predict Help-Seeking Behavior?," IJERPH, MDPI, vol. 17(18), pages 1-15, September.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6907-:d:416869
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/18/6907/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/18/6907/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Md. Mominur Rahman & Bilkis Akhter, 2021. "The impact of investment in human capital on bank performance: evidence from Bangladesh," Future Business Journal, Springer, vol. 7(1), pages 1-13, December.
    2. César Merino-Soto & Gina Chávez-Ventura & Verónica López-Fernández & Guillermo M. Chans & Filiberto Toledano-Toledano, 2022. "Learning Self-Regulation Questionnaire (SRQ-L): Psychometric and Measurement Invariance Evidence in Peruvian Undergraduate Students," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    3. Nathaniel Oliver Iotti & Damiano Menin & Tomas Jungert, 2022. "Early Adolescents’ Motivations to Defend Victims of Cyberbullying," IJERPH, MDPI, vol. 19(14), pages 1-9, July.
    4. Andreea-Ionela Puiu & Anca Monica Ardeleanu & Camelia Cojocaru & Anca Bratu, 2021. "Exploring the Effect of Status Quo, Innovativeness, and Involvement Tendencies on Luxury Fashion Innovations: The Mediation Role of Status Consumption," Mathematics, MDPI, vol. 9(9), pages 1-18, May.
    5. Allen, Jaime & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2019. "On evasion behaviour in public transport: Dissatisfaction or contagion?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 626-651.
    6. Merkle, Edgar C. & Steyvers, Mark & Mellers, Barbara & Tetlock, Philip E., 2017. "A neglected dimension of good forecasting judgment: The questions we choose also matter," International Journal of Forecasting, Elsevier, vol. 33(4), pages 817-832.
    7. Sai-fu Fung & Esther Oi-wah Chow & Chau-kiu Cheung, 2020. "Development and Evaluation of the Psychometric Properties of a Brief Wisdom Development Scale," IJERPH, MDPI, vol. 17(8), pages 1-14, April.
    8. Dang Vu, Hoai Nam & Nielsen, Martin Reinhardt, 2022. "Understanding determinants of the intention to buy rhino horn in Vietnam through the Theory of Planned Behaviour and the Theory of Interpersonal Behaviour," Ecological Economics, Elsevier, vol. 195(C).
    9. Georges Steffgen & Philipp E. Sischka & Martha Fernandez de Henestrosa, 2020. "The Quality of Work Index and the Quality of Employment Index: A Multidimensional Approach of Job Quality and Its Links to Well-Being at Work," IJERPH, MDPI, vol. 17(21), pages 1-31, October.
    10. Zaitun Mohd Saman & Ab Hamid Siti-Azrin & Azizah Othman & Yee Cheng Kueh, 2021. "The Validity and Reliability of the Malay Version of the Cyberbullying Scale among Secondary School Adolescents in Malaysia," IJERPH, MDPI, vol. 18(21), pages 1-12, November.
    11. Dennis Cook, R. & Forzani, Liliana, 2023. "On the role of partial least squares in path analysis for the social sciences," Journal of Business Research, Elsevier, vol. 167(C).
    12. Castaldo, Sandro & Ciacci, Andrea & Penco, Lara, 2023. "Perceived corporate social responsibility and job satisfaction in grocery retail: A comparison between low- and high-productivity stores," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    13. Daniel Hoppe, 2021. "Argument-Based Versus Emotion-Based Videos During the Early Stages of Recruitment: Effects on Perceived Employer Brand Image, Application Intentions, and Positive Word-of-Mouth," Corporate Reputation Review, Palgrave Macmillan, vol. 24(1), pages 31-47, February.
    14. Chen, Junhong & Nian, Yefan & Gao, Zhifeng, 2022. "Value, Attitude/Belief, and Sustainable Food Consumption," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322485, Agricultural and Applied Economics Association.
    15. Pezzuti, Lina & Tommasi, Marco & Saggino, Aristide & Dawe, James & Lauriola, Marco, 2020. "Gender differences and measurement bias in the assessment of adult intelligence: Evidence from the Italian WAIS-IV and WAIS-R standardizations," Intelligence, Elsevier, vol. 79(C).
    16. N. Dardenne & B. Pétré & E. Husson & M. Guillaume & A. F. Donneau, 2020. "Assessing Quality of Life in an Obesity Observational Study: a Structural Equation Modeling Approach," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(4), pages 1117-1133, September.
    17. Yunyue YANG & Jie LI & Tomoki SEKIGUCHI, 2018. "Supervisors’Responses to Employee Voice Behavior: An Experimental Study in China and Japan," Discussion papers e-18-006, Graduate School of Economics , Kyoto University.
    18. Charles Christian Adarkwah & Oliver Hirsch, 2020. "The Association of Work Satisfaction and Burnout Risk in Endoscopy Nursing Staff—A Cross-Sectional Study Using Canonical Correlation Analysis," IJERPH, MDPI, vol. 17(8), pages 1-13, April.
    19. Francisco Díaz Bretones & Aditya Jain & Stavroula Leka & Pedro A. García-López, 2020. "Psychosocial Working Conditions and Well-Being of Migrant Workers in Spain," IJERPH, MDPI, vol. 17(7), pages 1-15, April.
    20. Brice Ozenne & Esben Budtz-Jørgensen & Sebastian Elgaard Ebert, 2023. "Controlling the familywise error rate when performing multiple comparisons in a linear latent variable model," Computational Statistics, Springer, vol. 38(1), pages 1-23, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6907-:d:416869. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.