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      The interplay of self-critical rumination and resting heart rate variability on subjective well-being and somatic symptom distress: A prospective study

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      Journal of Psychosomatic Research
      Elsevier BV

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          Heart Rate Variability : Standards of Measurement, Physiological Interpretation, and Clinical Use

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            The mental health continuum: from languishing to flourishing in life.

            This paper introduces and applies an operationalization of mental health as a syndrome of symptoms of positive feelings and positive functioning in life. Dimensions and scales of subjective well-being are reviewed and conceived of as mental health symptoms. A diagnosis of the presence of mental health, described as flourishing, and the absence of mental health, characterized as languishing, is applied to data from the 1995 Midlife in the United States study of adults between the ages of 25 and 74 (n = 3,032). Findings revealed that 17.2 percent fit the criteria for flourishing, 56.6 percent were moderately mentally healthy, 12.1 percent of adults fit the criteria for languishing, and 14.1 percent fit the criteria for DSM-III-R major depressive episode (12-month), of which 9.4 percent were not languishing and 4.7 percent were also languishing. The risk of a major depressive episode was two times more likely among languishing than moderately mentally healthy adults, and nearly six times greater among languishing than flourishing adults. Multivariate analyses revealed that languishing and depression were associated with significant psychosocial impairment in terms of perceived emotional health, limitations of activities of daily living, and workdays lost or cutback. Flourishing and moderate mental health were associated with superior profiles of psychosocial functioning. The descriptive epidemiology revealed that males, older adults, more educated individuals, and married adults were more likely to be mentally healthy. Implications for the conception of mental health and the treatment and prevention of mental illness are discussed.
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              A meta-analysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health.

              The intimate connection between the brain and the heart was enunciated by Claude Bernard over 150 years ago. In our neurovisceral integration model we have tried to build on this pioneering work. In the present paper we further elaborate our model and update it with recent results. Specifically, we performed a meta-analysis of recent neuroimaging studies on the relationship between heart rate variability and regional cerebral blood flow. We identified a number of regions, including the amygdala and ventromedial prefrontal cortex, in which significant associations across studies were found. We further propose that the default response to uncertainty is the threat response and may be related to the well known negativity bias. Heart rate variability may provide an index of how strongly 'top-down' appraisals, mediated by cortical-subcortical pathways, shape brainstem activity and autonomic responses in the body. If the default response to uncertainty is the threat response, as we propose here, contextual information represented in 'appraisal' systems may be necessary to overcome this bias during daily life. Thus, HRV may serve as a proxy for 'vertical integration' of the brain mechanisms that guide flexible control over behavior with peripheral physiology, and as such provides an important window into understanding stress and health. Copyright © 2011 Elsevier Ltd. All rights reserved.
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                Author and article information

                Journal
                Journal of Psychosomatic Research
                Journal of Psychosomatic Research
                Elsevier BV
                00223999
                January 2022
                January 2022
                : 152
                : 110676
                Article
                10.1016/j.jpsychores.2021.110676
                34823115
                e8b86c7b-51f8-49f1-950a-b467e4ec05ae
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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