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      Peace of mind and anxiety in the waking state are related to the affective content of dreams

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      1 , 2 , , 3 , 4 , 1 , 2
      Scientific Reports
      Nature Publishing Group UK

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          Abstract

          Waking mental well-being is assumed to be tightly linked to sleep and the affective content of dreams. However, empirical research is scant and has mostly focused on ill-being by studying the dreams of people with psychopathology. We explored the relationship between waking well-being and dream affect by measuring not only symptoms of ill-being but also different types and components of well-being. Importantly, this is the first time peace of mind was investigated as a distinct aspect of well-being in a Western sample and in relation to dream content. Healthy participants completed a well-being questionnaire, followed by a three-week daily dream diary and ratings of dream affect. Multilevel analyses showed that peace of mind was related to positive dream affect, whereas symptoms of anxiety were related to negative dream affect. Moreover, waking measures were better related to affect expressed in dream reports rather than participants’ self-ratings of dream affect. We propose that whereas anxiety may reflect affect dysregulation in waking and dreaming, peace of mind reflects enhanced affect regulation in both states of consciousness. Therefore, dream reports may possibly serve as markers of mental health. Finally, our study shows that peace of mind complements existing conceptualizations and measures of well-being.

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          Mental Illness and/or Mental Health? Investigating Axioms of the Complete State Model of Health.

          A continuous assessment and a categorical diagnosis of the presence (i.e., flourishing) and the absence (i.e., languishing) of mental health were proposed and applied to the Midlife in the United States study data, a nationally representative sample of adults between the ages of 25 and 74 years (N = 3,032). Confirmatory factor analyses supported the hypothesis that measures of mental health (i.e., emotional, psychological, and social well-being) and mental illness (i.e., major depressive episode, generalized anxiety, panic disorder, and alcohol dependence) constitute separate correlated unipolar dimensions. The categorical diagnosis yielded an estimate of 18.0% flourishing and, when cross-tabulated with the mental disorders, an estimate of 16.6% with complete mental health. Completely mentally healthy adults reported the fewest health limitations of activities of daily living, the fewest missed days of work, the fewest half-day work cutbacks, and the healthiest psychosocial functioning (low helplessness, clear life goals, high resilience, and high intimacy). (c) 2005 APA, all rights reserved.
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            The neuroscience of mindfulness meditation.

            Research over the past two decades broadly supports the claim that mindfulness meditation - practiced widely for the reduction of stress and promotion of health - exerts beneficial effects on physical and mental health, and cognitive performance. Recent neuroimaging studies have begun to uncover the brain areas and networks that mediate these positive effects. However, the underlying neural mechanisms remain unclear, and it is apparent that more methodologically rigorous studies are required if we are to gain a full understanding of the neuronal and molecular bases of the changes in the brain that accompany mindfulness meditation.
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              The positive and negative affect schedule (PANAS): construct validity, measurement properties and normative data in a large non-clinical sample.

              To evaluate the reliability and validity of the PANAS (Watson, Clark, & Tellegen, 1988b) and provide normative data. Cross-sectional and correlational. The PANAS was administered to a non-clinical sample, broadly representative of the general adult UK population (N = 1,003). Competing models of the latent structure of the PANAS were evaluated using confirmatory factor analysis. Regression and correlational analysis were used to determine the influence of demographic variables on PANAS scores as well as the relationship between the PANAS with measures of depression and anxiety (the HADS and the DASS). The best-fitting model (robust comparative fit index = .94) of the latent structure of the PANAS consisted of two correlated factors corresponding to the PA and NA scales, and permitted correlated error between items drawn from the same mood subcategories (Zevon & Tellegen, 1982). Demographic variables had only very modest influences on PANAS scores and the PANAS exhibited measurement invariance across demographic subgroups. The reliability of the PANAS was high, and the pattern of relationships between the PANAS and the DASS and HADS were consistent with tripartite theory. The PANAS is a reliable and valid measure of the constructs it was intended to assess, although the hypothesis of complete independence between PA and NA must be rejected. The utility of this measure is enhanced by the provision of large-scale normative data. Copyright 2004 The British Psychological Society
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                Author and article information

                Contributors
                pilsik@utu.fi
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                24 August 2018
                24 August 2018
                2018
                : 8
                : 12762
                Affiliations
                [1 ]ISNI 0000 0001 2097 1371, GRID grid.1374.1, Department of Psychology and Speech-Language Pathology, Turku Brain and Mind Center, , University of Turku, ; Turku, Finland
                [2 ]ISNI 0000 0001 2254 0954, GRID grid.412798.1, Department of Cognitive Neuroscience and Philosophy, School of Bioscience, , University of Skövde, ; Skövde, Sweden
                [3 ]ISNI 0000 0001 2097 1371, GRID grid.1374.1, Department of Mathematics and Statistics, , University of Turku, ; Turku, Finland
                [4 ]ISNI 0000000108389418, GRID grid.5373.2, Department of Computer Science, , Aalto University, ; Helsinki, Finland
                Author information
                http://orcid.org/0000-0002-1926-6138
                Article
                30721
                10.1038/s41598-018-30721-1
                6109051
                30143673
                f0b1368f-34f0-4d3e-a1fd-c4c0750cc017
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 23 February 2018
                : 31 July 2018
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