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Metadata

Name
Personality Traits and Maladaptive Daydreaming: Fantasy Functions and Themes in a Multi-Country Sample
Repository
ZENODO
Identifier
doi:10.5281/zenodo.4682667
Description
In this study, we analyzed the responses of 539 adults who met an evidence-based criterion of probable maladaptive daydreaming (MD) and met the description of at least one of the following personality facets: grandiosity, separation insecurity, and anhedonia. Participants provided information on thier Demographics and completed self-report measures: 1) The 16-item Maladaptive Daydreaming Scale (MDS-16; Somer, Soffer-Dudek, Ross, et al., 2017); 2) 15 binary coded daydreaming contents and functions developed by the authors drawing on data from previously published literature (Bigelsen et al., 2016; Bigelsen &amp; Schupak, 2011; Somer et al., 2016b; Wen et al., 2018); and 3)&nbsp;the short form of the Personality Inventory DSM&ndash;5 for adults (PID-5-SF; Maples et al., 2015).&nbsp;&nbsp;Respondents reporting grandiosity tended to use their fantasies as a means for wish-fulfillment for power and dominance, while respondents characterized by separation insecurity fantasized more about relationships with others.&nbsp;Their fantasies often featured an idealized relationship, sometimes of love, or an idealized version of their own family. Separation-anxious individuals reported fantasies in which they received extra attention on account of illness, vulnerability, or neediness. Respondents who reported characteristics of anhedonia were more likely to use daydreaming as a distraction from an unpleasant reality and gravitated to fantasies experienced as rewarding. The daydreams of respondents with anhedonia tended to feature themes of escape and physical violence. Our data show that particular personality facets can uniquely distinguish the functions and contents of fantasies in MD. Our findings suggest that maladaptive daydreaming may have a compensatory role in regulating unmet personal needs.

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Data or Study Types
multiple
Source Organization
Unknown
Access Conditions
available
Year
2021
Access Hyperlink
https://doi.org/10.5281/zenodo.4682667

Distributions

  • Encoding Format: HTML ; URL: https://doi.org/10.5281/zenodo.4682667
This project was funded in part by grant U24AI117966 from the NIH National Institute of Allergy and Infectious Diseases as part of the Big Data to Knowledge program. We thank all members of the bioCADDIE community for their valuable input on the overall project.