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      Change of sleep quality from pre- to 3 years post-solid organ transplantation: The Swiss Transplant Cohort Study

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      1 , 2 , 1 , 3 , 4 , 5 , 1 , 6 , * , for the Psychosocial Interest Group, Swiss Transplant Cohort Study
      PLoS ONE
      Public Library of Science

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          Abstract

          Background

          Poor sleep quality (SQ) is common after solid organ transplantation; however, very little is known about its natural history. We assessed the changes in SQ from pre- to 3 years post-transplant in adult heart, kidney, liver and lung recipients included in the prospective nation-wide Swiss Transplant Cohort Study. We explored associations with selected variables in patients suffering persistent poor SQ compared to those with good or variable SQ.

          Methods

          Adult single organ transplant recipients enrolled in the Swiss Transplant Cohort Study with pre-transplant and at least 3 post-transplant SQ assessment data were included. SQ was self-reported pre-transplant (at listing), then at 6, 12, 24 and 36 months post-transplant. A single SQ item was used to identify poor (0–5) and good sleepers (6–10). Between organ groups, SQ was compared via logistic regression analysis with generalized estimating equations. Within the group reporting persistently poor SQ, we used logistic regression or Kaplan-Meier analysis as appropriate to check for differences in global quality of life and survival.

          Results

          In a sample of 1173 transplant patients (age: 52.1±13.2 years; 65% males; 66% kidney, 17% liver, 10% lung, 7% heart) transplanted between 2008 and 2012, pre- transplant poor SQ was highest in liver (50%) and heart (49%) recipients. Overall, poor SQ decreased significantly from pre-transplant (38%) to 24 months post-transplant (26%) and remained stable at 3 years (29%). Patients reporting persistently poor SQ had significantly more depressive symptomatology and lower global quality of life.

          Conclusion

          Because self-reported poor SQ is related to poorer global quality of life, these results emphasize the need for further studies to find suitable treatment options for poor SQ in transplant recipients.

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          Most cited references43

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          Normative values for the hospital anxiety and depression scale (HADS) in the general German population.

          The aim of this study was to present normative values for the Hospital Anxiety and Depression Scale (HADS). A representative sample of the German general population (N=4410) was tested with the HADS. Females are more anxious than males, and older subjects are more depressed than younger subjects. The mean scores for anxiety / depression are 4.4 / 4.8 (males) and 5.0 / 4.7 (females). Using the cut-off 8+, the percentages of elevated anxiety and depression in the total sample are 21 % and 23 %, respectively. Regression analyses proved a linear but not a curvilinear age trend of anxiety and depression. Percentile rank norms are given for anxiety, depression, and the HADS total score. The regression coefficients allow the calculation of expected mean scores for each age and gender distribution of any sample of patients. HADS mean scores are better suited to describe the degree of anxiety and depression in patient samples compared to percentages of subjects with elevated values. Copyright © 2011 Elsevier Inc. All rights reserved.
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            Accuracy of the Hospital Anxiety and Depression Scale as a screening tool in cancer patients: a systematic review and meta-analysis.

            The Hospital Anxiety and Depression Scale (HADS) is the most extensively validated scale for screening emotional distress in cancer patients. However, thresholds for clinical decision making vary widely across studies. A meta-analysis was conducted with the aim of identifying optimal, empirically derived cut-offs. PubMed, Embase, and PsycINFO databases were searched for studies that compared the HADS total and its subscale scores against a semi-structured or structured clinical interview as a reference standard with regard to its screening efficacy for any mental disorders and depressive disorders alone. Separate pooled analyses were conducted for single or two adjacent thresholds. A total of 28 studies (inter-rater agreement, κ = 0.86) were included. The best thresholds for screening for mental disorders were 10 or 11 on the HADS total (sensitivity 0.80; specificity 0.74), 5 on the HADS depression subscale (sensitivity 0.84; specificity 0.50), and 7 or 8 on the HADS anxiety subscale (sensitivity 0.73; specificity 0.65). Respective thresholds for depression screening were 15 for the HADS total (sensitivity 0.87; specificity 0.88), 7 for the HADS depression subscale (sensitivity 0.86; specificity 0.81), and 10 or 11 for the HADS anxiety subscale (sensitivity 0.63; specificity 0.83). The HADS anxiety subscale performed worse than the total and the depression subscales for both indicators. Diagnostic accuracy varied widely by threshold but was consistently superior for depression screening than for screening of any mental disorder.
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              "Sleep disparity" in the population: poor sleep quality is strongly associated with poverty and ethnicity

              Background Little is known about the social determinants of sleep attainment. This study examines the relationship of race/ethnicity, socio-economic status (SES) and other factors upon sleep quality. Methods A cross-sectional survey of 9,714 randomly selected subjects was used to explore sleep quality obtained by self-report, in relation to socioeconomic factors including poverty, employment status, and education level. The primary outcome was poor sleep quality. Data were collected by the Philadelphia Health Management Corporation. Results Significant differences were observed in the outcome for race/ethnicity (African-American and Latino versus White: unadjusted OR = 1.59, 95% CI 1.24-2.05 and OR = 1.65, 95% CI 1.37-1.98, respectively) and income (below poverty threshold, unadjusted OR = 2.84, 95%CI 2.41-3.35). In multivariable modeling, health indicators significantly influenced sleep quality most prominently in poor individuals. After adjusting for socioeconomic factors (education, employment) and health indicators, the association of income and poor sleep quality diminished, but still persisted in poor Whites while it was no longer significant in poor African-Americans (adjusted OR = 1.95, 95% CI 1.47-2.58 versus OR = 1.16, 95% CI 0.87-1.54, respectively). Post-college education (adjusted OR = 0.47, 95% CI 0.31-0.71) protected against poor sleep. Conclusions A "sleep disparity" exists in the study population: poor sleep quality is strongly associated with poverty and race. Factors such as employment, education and health status, amongst others, significantly mediated this effect only in poor subjects, suggesting a differential vulnerability to these factors in poor relative to non-poor individuals in the context of sleep quality. Consideration of this could help optimize targeted interventions in certain groups and subsequently reduce the adverse societal effects of poor sleep.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: ValidationRole: VisualizationRole: Writing – original draft
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: SupervisionRole: ValidationRole: Writing – review & editing
                Role: SupervisionRole: ValidationRole: Writing – review & editing
                Role: SupervisionRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                11 October 2017
                2017
                : 12
                : 10
                : e0185036
                Affiliations
                [1 ] Institute of Nursing Science, Department Public Health, University of Basel, Basel, Switzerland
                [2 ] Center of Sleep Medicine, Hirslanden Group, Zürich, Switzerland
                [3 ] Division of Nephrology and Hypertension, University Hospital of Bern, Bern, Switzerland
                [4 ] Nephrology/Transplantation Medicine, Cantonal Hospital of St.Gallen, St.Gallen, Switzerland
                [5 ] Division of Nephrology and Transplantation, Geneva University Hospital, Geneva, Switzerland
                [6 ] Academic Center for Nursing and Midwifery, Department Public Health, KU Leuven, Belgium
                University of California Los Angeles, UNITED STATES
                Author notes

                Competing Interests: The Swiss Transplant Cohort Study is funded by a grant from the Swiss National Research Foundation (Grant number 3347CO-108795). This work is further supported by unrestricted research grants from Astellas (CH & Europe), Roche (CH) and Novartis (CH). Their support does not alter our adherence to PLOS ONE policies on sharing data and materials.

                ¶ The complete membership of the author group of the Psychosocial Interest Group of the Swiss Transplant Cohort Study can be found in the Acknowledgments.

                Author information
                http://orcid.org/0000-0001-7011-0481
                Article
                PONE-D-16-47886
                10.1371/journal.pone.0185036
                5636098
                29020112
                7802f2e9-551f-4620-a164-1164b1246864
                © 2017 Burkhalter et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 4 December 2016
                : 4 September 2017
                Page count
                Figures: 2, Tables: 5, Pages: 16
                Funding
                Funded by: Swiss National Research Foundation
                Award Recipient :
                The Swiss Transplant Cohort Study is funded by a grant from the Swiss National Research Foundation (Grant number 3347CO-108795). This work is further supported by unrestricted research grants of Astellas (CH & Europe), Roche (CH) and Novartis (CH). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Surgical and Invasive Medical Procedures
                Cardiovascular Procedures
                Heart-Lung Transplantation
                Medicine and Health Sciences
                Surgical and Invasive Medical Procedures
                Transplantation
                Organ Transplantation
                Heart-Lung Transplantation
                Medicine and Health Sciences
                Surgical and Invasive Medical Procedures
                Respiratory System Procedures
                Heart-Lung Transplantation
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                Digestive System Procedures
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                Transplantation
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                Liver Transplantation
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                Transplantation
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