Anorexia dreaming: A case study.

Knudson, Roger M.

doi:10.1037/1053-0797.16.1.43

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…Interrater reliability measures were low with the SCS; this can be further remedied by either including further agreement discussions between raters or further refining the SCS’s coding instruction units. Additionally, the presence of any psychopathologies was not screened for in participants, which has been correlated to more negative dream contents ( Armitage et al, 1995 ; Levin and Basile, 2003 ; Knudson, 2006 ; Wittmann et al, 2010 ; Soffer-Dudek et al, 2011 ; Soffer-Dudek and Sadeh, 2012 ; Mota et al, 2014 ; Banu et al, 2017 ; Soffer-Dudek, 2017 ; Sikka et al, 2018 ; Gupta, 2020 ; Martin et al, 2020 ; Solomonova et al, 2021 ). In addition, future work could provide additional social psychometric measures which can be introduced to the study that align with the social simulation framework.…”

Section: Discussionmentioning

confidence: 99%

Dreaming during the COVID-19 pandemic: Support for the threat simulation function of dreams

Abbas

Samson

2023

Front. Psychol.

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Evolutionary theories suggest that dreams function as a world simulator of events that maximizes our ability to surmount social and threat-related challenges critical to survivorship and reproduction. Here, in contrast to the incorporation continuity hypothesis, we test the (1) social bias hypothesis, which states that dreams will overrepresent positive social interactions relative to waking life, (2) the mutually exclusive threat bias hypothesis, the idea that dream content will be negative relative to waking life, (3) the strengthening hypothesis, which states that dreams will rehearse more positive interactions with individuals the self is familiar with relative to waking life, and (4) the compensation hypothesis, which states that social contents in dreams increases during periods of social seclusion. Dream (n = 168) and wake (n = 184) reports were collected through a standardized online survey from 24 undergraduate students. Recalls were analyzed using the Social Content Scale. Generalized linear mixed effects models were used, and the following fixed-effects were considered for the study; the number of reports contributed, report state, biological sex, stress, social support, and media exposures. Results showed support for the threat bias hypothesis, we found that dreams were more negative and featured more unfamiliar individuals in contrast to waking life. Additionally, we found partial support for the social bias and the strengthening hypotheses, however no support was shown for the compensation hypothesis. Overall, these results demonstrate support for the threat simulation function of dreams.

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Section: Discussionmentioning

confidence: 99%

Dreaming during the COVID-19 pandemic: Support for the threat simulation function of dreams

Abbas

Samson

2023

Front. Psychol.

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“…A key point for us is that, as yet, the literature has not been put together to construct a coherent argument to support this assertion regarding “most recent” dream experience. This may be because the literature has favored the 'exceptional,' and focused on extraordinary dream experiences (Hunt, 1989; Kuiken & Sikora, 1993; Busink & Kuiken, 1996; Knudson, 2000, 2001, & 2006; Knudson, Adame & Finocan, 2006). However, there is evidence that can be drawn upon to develop our argument further, involving the identification of phenomenological and emotional content of “most recent” dreams compared with other cognitive states reported after waking from sleep.…”

Section: Traditional Dream Researchmentioning

confidence: 99%

How to use Q-methodology in dream research: Assumptions, procedures and benefits.

Parker¹,

Alford²

2010

Dreaming

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Current quantitative methods of approaching dream research, which dominate published material about dreams, have led to descriptions of dreams as homogenous events. Q-methodology is an approach that may identify heterogeneity in dream report studies and subsequent dream types based upon the subjectivity of the dream experience. Q-methodology is described as a "Qualiquantological" approach to dream analysis which maximizes the use of statistics in a qualitative way (Stenner & Stainton-Rogers, 2004). "Q" is distinguished from other methods because the dreamer sorts the subjectivity of the dream they are reporting and provides a written description of the dream; these are used together to identify shared patterns of subjectivity within a large data set. The advantages of using Q-methodology are outlined and the resources necessary to conduct a study are shared. The aim of this paper is to present a preliminary explanation prior to presenting the first study to use Q-methodology in dream research.

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Continuity between waking life and dreams of psychiatric patients A review and discussion of the implications for dream research

Skancke

Holsen

Schredl

2014

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Anorexia dreaming: A case study.

Cited by 5 publications

References 21 publications

Dreaming during the COVID-19 pandemic: Support for the threat simulation function of dreams

Dreaming during the COVID-19 pandemic: Support for the threat simulation function of dreams

How to use Q-methodology in dream research: Assumptions, procedures and benefits.

Continuity between waking life and dreams of psychiatric patients A review and discussion of the implications for dream research

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