Depression and Pain in Heart Transplant Recipients

Conway, Aaron; Sheridan, Judith; Maddicks-Law, J.; Fulbrook, Paul; Ski, Chantal F.; Clark, Robyn; Doering, Lynn V.

doi:10.1177/1099800416666717

Cited by 8 publications

(7 citation statements)

References 29 publications

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“…The number of patients identified with moderate to severe depression (PHQ9 ≥10) was 5% of the study population. Prevalence of depression in the literature suggests 15% to 40% of patients have depression after heart transplantation 1–6. Our study does not include the patients who have depression that is adequately managed.…”

Section: Discussionmentioning

confidence: 99%

“…Heart transplantation prolongs survival for patients with end-stage heart failure but is associated with many comorbidities and complications. Patients who have undergone a heart transplant have rates of depression that are at least double healthy adults 1–6. Patients with a heart transplant and major depressive disorder have higher rates of graft failure, increased rates of noncompliance, increased rates of infection, and increased comorbidities 2,6,7.…”

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confidence: 99%

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Universal Depression Screen of Ambulatory Heart Transplant Recipients With Referral for Mental Health Intervention

Peters

Ambardekar

Rosenthal

et al. 2020

Journal of Nursing Care Quality

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

Universal Depression Screen of Ambulatory Heart Transplant Recipients With Referral for Mental Health Intervention

Peters

Ambardekar

Rosenthal

et al. 2020

Journal of Nursing Care Quality

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“…For example, Torres-Berrío et al supposed that depression is caused by a combination of genetic predisposition and life events (16). Stress often leads to adverse consequences-such as depression and anxiety (17)(18)(19), mobile phone addiction (MPA) (20,21), poor sleep quality (PSQ) (22,23), changes in legal drug consumption (24), cardiovascular disease (25), and worsens the outcomes of many medical illnesses (26), potentially even leading to suicide (27,28) various physical and mental factors influence the prevalence of depressive symptoms, such as PSQ (29), bodily pain (30), and poor cognitive and physical functioning (31). Scholars have noted that there is a remarkable association between alterations in sleep patterns and depression (32).…”

Section: Introductionmentioning

confidence: 99%

Perceived Academic Stress and Depression: The Mediation Role of Mobile Phone Addiction and Sleep Quality

Zhang

Gao²,

Kang

et al. 2022

Front. Public Health

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BackgroundAlthough academic stress is a well-known risk factor for students' depression, little is known about the possible psychological mechanisms underlying this association. In this study, we investigated the prevalence of depression and sleep disturbance among Chinese students, examined the relationship between perceived academic stress and depression, considered if mobile phone addiction and sleep quality is a mediator of this relationship, and tested if mobile phone addiction and sleep quality together play a serial mediating role in the influence of perceived academic stress on depression.MethodA cross-sectional survey was conducted among students from September to December 2018 in Heilongjiang Province, China. The final analysis included 5,109 students. Mobile phone addiction, sleep quality, and depressive symptoms were assessed using the Mobile Phone Addiction Index, Pittsburgh Sleep Quality Index, and Center for Epidemiologic Studies-Depression scales, respectively. The serial mediation model was used to analyse the relationship between perceived academic stress, mobile phone addiction, sleep quality, and depression.ResultsAmong all participants, the prevalence of depressive symptoms and sleep disturbance was 28.69 and 27.95%, respectively. High school students showed the highest scores of perceived academic stress (2.68 ± 1.06), and the highest prevalence of depressive symptoms (33.14%) and sleep disturbance (36.47%). The serial mediation model indicated that perceived academic stress was a significant predictor of depression (B = 0.10, SE = 0.02, 95% CI = 0.06 – 0.13). Additionally, mobile phone addiction (B = 0.08, 95% boot CI = 0.06–0.11) and sleep quality (B = 0.27, 95% boot CI = 0.22–0.33) played a mediating role between perceived academic stress and depression. Mobile phone addiction and sleep quality together played a serial mediating role in the influence of perceived academic stress on depression (B = 0.11, 95% boot CI = 0.08–0.14). Furthermore, the indirect effect (i.e., the mediating effect of mobile phone addiction and sleep quality) was significant and accounted for 64.01% of the total effect.ConclusionsOur research results underscore the need for stakeholders—including family members, educators, and policy makers—to take preventative intervention measures to address depression among Chinese students, especially high school students.

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“…This report provides new evidence regarding the importance of perceived control and its relationship to symptoms of both depression and anxiety early after heart transplantation. Despite a relatively robust body of literature regarding psychological outcomes in the context of heart transplantation, 1,[29][30][31][32] few studies have focused on perceived control in this population. Our findings that perceived control is highly predictive of both depressive and anxiety symptoms early after heart transplant are unique and are consistent with reports of other cardiac populations, including those with ischemic heart disease, 33 implantable cardioverter defibrillator, 34 and heart failure.…”

Section: Discussionmentioning

confidence: 99%

Perceived control and health-related quality of life in heart transplant recipients

Doering

Chen

Deng

et al. 2017

European Journal of Cardiovascular Nursing

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Background Perceived control has been associated with improved mental health and health-related quality of life (HRQOL) in cardiac populations. However, this concept has not been well-studied in heart transplant groups. Aims We examine the relationship of perceived control to symptoms of anxiety and depression and HRQOL after transplant. We also examine the extent to which anxiety and depressive symptoms mediate the relationship between perceived control and HRQOL. Methods Our cross-sectional analysis included 113 adult heart transplant patients from the NEW HEART study. High versus low perceived control groups were determined by median split for chi-square and t-test analyses. Hierarchical multiple linear regression models were used to examine the influence of perceived control on symptoms of depression and anxiety and HRQOL. Mediation analyses included Baron and Kenny’s four-step regression approach and Preacher and Hayes’ bootstrapping technique to test the indirect effect of perceived control on HRQOL. Results Heart transplant patients who reported lower perceived control were more likely to be female (p=0.003), and had significantly more depressive symptoms (p<0.001) and anxiety (p<0.001), and lower HRQOL (p<0.001) than those with higher perceived control. Perceived control was a significant predictor in regression models of depressive and anxiety symptoms and HRQOL. In mediation analyses, depressive and anxiety symptoms mediated the effect of perceived control on HRQOL. Conclusion Perceived control is associated with improved depressive and anxiety symptoms and HRQOL after transplant. The relationship between perceived control and HRQOL is mediated by depressive and anxiety symptoms. Future interventions should target perceived control to improve overall HRQOL.

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Depression and Pain in Heart Transplant Recipients

Cited by 8 publications

References 29 publications

Universal Depression Screen of Ambulatory Heart Transplant Recipients With Referral for Mental Health Intervention

Universal Depression Screen of Ambulatory Heart Transplant Recipients With Referral for Mental Health Intervention

Perceived Academic Stress and Depression: The Mediation Role of Mobile Phone Addiction and Sleep Quality

Perceived control and health-related quality of life in heart transplant recipients

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