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      Disease activity, resilience and health-related quality of life in Chinese patients with rheumatoid arthritis: a multi-center, cross-sectional study

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          Abstract

          Background

          Positive psychological constructs that can moderate or mediate the negative impact of disease activity on health-related quality of life (HRQOL) in patients with rheumatoid arthritis (RA) have not been explored widely. This study aimed to assess the associations of disease activity, resilience with HRQOL and the moderating and mediating roles of resilience among Chinese RA patients.

          Methods

          A multi-center, cross-sectional study was conducted in RA inpatients in northeast of China. A total 298 subjects completed the Medical Outcomes Study 36-item Short-Form Health Survey (SF-36) and Ego-Resiliency Scale (ERS) to measure HRQOL and resilience. For the SF-36, physical function, physical role limitation, bodily pain and general health perception are gathered into physical component summary (PCS), while vitality, social functioning, emotional role limitation and mental health are gathered into mental component summary (MCS). Disease activity was evaluated by the Disease Activity Score 28-C-reactive protein (DAS28-CRP). Hierarchical regression analysis was applied to examine the associations of disease activity, resilience and the disease activity*resilience interaction with PCS and MCS, respectively. Asymptotic and resampling strategies were utilized to examine the mediating role of resilience.

          Results

          The mean scores of PCS and MCS were 40.67 and 59.14, respectively. Disease activity was negatively associated with both PCS and MCS, and resilience was only positively associated with MCS. The disease activity*resilience interaction term were significantly associated with MCS ( β = 0.144, P = 0.003). The associations between disease activity and MCS were gradually reduced in low (1 SD below the mean, β = −0.369, P < 0.001), mean ( β = −0.218, P < 0.001) and high (1 SD above the mean, β = −0.068, P = 0.369) groups of resilience. Resilience acted as a partial mediator in the disease activity-MCS association (effect size was −0.085, BCa 95% CI: −0.159, −0.028).

          Conclusions

          Disease activity was negatively associated with both physical and mental HRQOL, and resilience was only positively associated with mental HRQOL. Resilience could attenuate and mediate the association between disease activity and mental HRQOL. In addition to controlling disease activity, targeted intervention strategies designed for resilience should be strengthened to improve the HRQOL of this population.

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          Most cited references40

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          Psychosocial resilience and protective mechanisms.

          The concept of mechanisms that protect people against the psychological risks associated with adversity is discussed in relation to four main processes: reduction of risk impact, reduction of negative chain reactions, establishment and maintenance of self-esteem and self-efficacy, and opening up of opportunities. The mechanisms operating at key turning points in people's lives must be given special attention.
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            Linking clinical variables with health-related quality of life. A conceptual model of patient outcomes.

            Our model proposes a taxonomy or classification scheme for different measures of health outcome. We divide these outcomes into five levels: biological and physiological factors, symptoms, functioning, general health perceptions, and overall quality of life. In addition to classifying these outcome measures, we propose specific causal relationships between them that link traditional clinical variables to measures of HRQL. As one moves from left to right in the model, one moves outward from the cell to the individual to the interaction of the individual as a member of society. The concepts at each level are increasingly integrated and increasingly difficult to define and measure. AT each level, there are an increasing number of inputs that cannot be controlled by clinicians or the health care system as it is traditionally defined.
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              Moderating effects of resilience on depression in individuals with a history of childhood abuse or trauma exposure.

              Influences of resilience on the presence and severity of depression following trauma exposure are largely unknown. Hence, we examined effects of resilience on depressive symptom severity in individuals with past childhood abuse and/or other trauma exposure. In this cross-sectional study of 792 adults, resilience was measured with the Connor-Davidson Resilience Scale, depression with the Beck Depression Inventory (BDI), childhood abuse with the Childhood Trauma Questionnaire, and other traumas with the Trauma Events Inventory. Multiple linear regression modeling with depression severity (BDI score) as the outcome yielded 4 factors: childhood abuse (β=2.5, p<0.0001), other trauma (β=3.5, p<0.0001), resilience (β=-0.5, p<0.0001), and other trauma × resilience interaction term (β=-0.1, p=0.0021), all of which were significantly associated with depression severity, even after adjusting for age, sex, race, education, employment, income, marital status, and family psychiatric history. Childhood abuse and trauma exposure contributed to depressive symptom severity while resilience mitigated it. Resilience moderates depressive symptom severity in individuals exposed to childhood abuse or other traumas both as a main effect and an interaction with trauma exposure. Resilience may be amenable to external manipulation and could present a potential focus for treatments and interventions. Copyright © 2010 Elsevier B.V. All rights reserved.
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                Author and article information

                Contributors
                lliu09@cmu.edu.cn
                xux@sj-hospital.org
                nelliexu@sina.com
                liewang@cmu.edu.cn
                Journal
                Health Qual Life Outcomes
                Health Qual Life Outcomes
                Health and Quality of Life Outcomes
                BioMed Central (London )
                1477-7525
                24 July 2017
                24 July 2017
                2017
                : 15
                : 149
                Affiliations
                [1 ]ISNI 0000 0000 9678 1884, GRID grid.412449.e, Department of Social Medicine, , School of Public Health, China Medical University, ; No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning 110122 People’s Republic of China
                [2 ]ISNI 0000 0004 1806 3501, GRID grid.412467.2, Department of Clinical Epidemiology, , Shengjing Hospital of China Medical University, ; No.36 Sanhao Street, Heping District, Shenyang, Liaoning 110004 People’s Republic of China
                [3 ]ISNI 0000 0004 1806 3501, GRID grid.412467.2, Department of Rheumatology, , Shengjing Hospital of China Medical University, ; No.36 Sanhao Street, Heping District, Shenyang, Liaoning 110004 People’s Republic of China
                Article
                725
                10.1186/s12955-017-0725-6
                5525274
                28738816
                7d22a55f-87be-40dc-a11e-7ba1ba35978d
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 25 April 2017
                : 19 July 2017
                Categories
                Research
                Custom metadata
                © The Author(s) 2017

                Health & Social care
                health-related quality of life,sf-36,das28-crp,positive psychology,rheumatoid arthritis

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