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      Cortisol response to psychosocial stress, mental distress, fatigue and quality of life in coronary artery disease patients

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          Abstract

          We aimed to explore the relationship between cortisol response to psychosocial stress, mental distress, fatigue and health related quality of life (HRQoL) in individuals with coronary artery disease (CAD) after recent acute coronary syndrome (ACS). A cross-sectional study initially included 113 subjects (88% men, 53 ± 7 years) 1–3 weeks after ACS. Cortisol response was assessed by measuring salivary cortisol during Trier Social Stress Test. Mental distress was measured with Hospital Anxiety and Depression Scale, State-Trait Anxiety Inventory, and Type D Scale-14. Fatigue symptoms were evaluated using Multidimensional Fatigue Inventory 20-items, while HRQoL was assessed with 36-Item Short Form Medical Outcome Questionnaire. After conducting multivariable linear regression analyses, diminished cortisol response sampled after Public speech (T3–T1, + 15 min) was significantly associated with higher anxiety symptoms (β = −0.224; p = 0.035), while diminished cortisol response sampled after preparation time (T2–T1, + 10 min) was significantly linked with the presence of Type D personality (β = −0.290; p = 0.006; β = −0.282; p = 0.008 respectively), even after controlling for confounders (i.e., sex, age, education, New York Heart Association functional class, beta-blockers and baseline levels of cortisol measures). We found that mental distress, but not fatigue and HRQoL, was linked with blunted cortisol response during anticipation time of psychosocial stress, independently of potential covariates.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            The hospital anxiety and depression scale.

            A self-assessment scale has been developed and found to be a reliable instrument for detecting states of depression and anxiety in the setting of an hospital medical outpatient clinic. The anxiety and depressive subscales are also valid measures of severity of the emotional disorder. It is suggested that the introduction of the scales into general hospital practice would facilitate the large task of detection and management of emotional disorder in patients under investigation and treatment in medical and surgical departments.
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              The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection.

              A 36-item short-form (SF-36) was constructed to survey health status in the Medical Outcomes Study. The SF-36 was designed for use in clinical practice and research, health policy evaluations, and general population surveys. The SF-36 includes one multi-item scale that assesses eight health concepts: 1) limitations in physical activities because of health problems; 2) limitations in social activities because of physical or emotional problems; 3) limitations in usual role activities because of physical health problems; 4) bodily pain; 5) general mental health (psychological distress and well-being); 6) limitations in usual role activities because of emotional problems; 7) vitality (energy and fatigue); and 8) general health perceptions. The survey was constructed for self-administration by persons 14 years of age and older, and for administration by a trained interviewer in person or by telephone. The history of the development of the SF-36, the origin of specific items, and the logic underlying their selection are summarized. The content and features of the SF-36 are compared with the 20-item Medical Outcomes Study short-form.
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                Author and article information

                Contributors
                julija.gecaite@lsmuni.lt
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                12 November 2022
                12 November 2022
                2022
                : 12
                : 19373
                Affiliations
                [1 ]GRID grid.45083.3a, ISNI 0000 0004 0432 6841, Laboratory of Behavioural Medicine, Neuroscience Institute, , Lithuanian University of Health Sciences, ; 00135 Palanga-Kaunas, Lithuania
                [2 ]University of Galway IE, Galway, H91 TK33 Ireland
                [3 ]GRID grid.5611.3, ISNI 0000 0004 1763 1124, Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, , University of Verona, ; 37134 Verona, Italy
                Article
                23712
                10.1038/s41598-022-23712-w
                9653469
                36371452
                46aa46d9-de52-448c-8ba5-fc067faa83d3
                © The Author(s) 2022

                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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 3 April 2022
                : 3 November 2022
                Categories
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                © The Author(s) 2022

                Uncategorized
                neuroscience,physiology,psychology,biomarkers,cardiology,endocrinology
                Uncategorized
                neuroscience, physiology, psychology, biomarkers, cardiology, endocrinology

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