Fear of cancer recurrence in lymphoma survivors: A descriptive study

Latella, Lauren; Rogers, Madeline; Leventhal, Howard; Parker, Patricia A.; Horwitz, Steven M.; Matasar, Matthew J.; Bylund, Carma L.; Kissane, David W.; Franco, Kara; Banerjee, Smita C.

doi:10.1080/07347332.2019.1677840

Cited by 11 publications

(23 citation statements)

References 53 publications

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“…Third, some risk factors associated with FoP were not included in the analysis. For example, socioeconomic status, 56 spiritual well-being, 53 quality of life, 44 or other coping strategies 57 were not covered. Nonetheless, a variety of risk factors, including socio-demographic, physical, and psychological variables, were investigated in our study.…”

Section: Discussionmentioning

confidence: 99%

Effect of Cancer-Related Dysfunctional Beliefs About Sleep on Fear of Cancer Progression in the Coronavirus Pandemic

et al. 2022

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Background This study aimed to explore clinical correlates of fear of progression (FoP) among patients with cancer during the coronavirus disease 2019 (COVID-19) pandemic and examine the mediation effect of cancer-related dysfunctional beliefs about sleep (C-DBS). Methods Medical charts of patients with cancer who visited a psycho-oncology clinic between July and November 2021 were reviewed. Baseline socio-demographic and cancer-related variables were collected. Patients’ self-report questionnaires, regarding FoP, depression (Patient Health Questionnaire-9 items; PHQ-9), viral anxiety (Stress and Anxiety to Viral Epidemics-6 items; SAVE-6), C-DBS, and other distress, were investigated. Pearson’s correlation and linear regression were performed to examine the risk factors of FoP. Mediation effect analysis with the bootstrap method with 2,000 resamples was implemented. Results A total of 231 patients were included in the analysis. Linear regression revealed that FoP was predicted by age (β = −0.14, P = 0.003), PHQ-9 (β = 0.48, P < 0.001), SAVE-6 (β = 0.34, P < 0.001), and C-DBS (β = 0.15, P = 0.005). FoP was directly influenced by SAVE-6 and mediated by C-DBS, while it was directly influenced by PHQ-9 with no mediation effect. Conclusion During the COVID-19 pandemic, the FoP of patients with cancer was associated with younger age, depression, viral anxiety, and C-DBS. Depression and viral anxiety directly influenced FoP, while C-DBS mediated the association between viral anxiety and FoP. Therefore, oncology healthcare professionals are recommended to assess C-DBS of their patients when they are highly distressed from FoP.

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Section: Discussionmentioning

confidence: 99%

Effect of Cancer-Related Dysfunctional Beliefs About Sleep on Fear of Cancer Progression in the Coronavirus Pandemic

et al. 2022

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“…Addressing the issue of whether FCR occurs differently according to cancer type, it has been suggested that having skin, colon or haematological cancer might predict FCR 17 . The occurrence and intensity of FCR are greatly impacted by perceived controllability, a consequence of recurrence, treatment modality and the time‐course of cancer 18 . Multiple myeloma, as an incurable haematological malignancy, 19 has several characteristics that can cause fear.…”

Section: Discussionmentioning

confidence: 99%

“…17 The occurrence and intensity of FCR are greatly impacted by perceived controllability, a consequence of recurrence, treatment modality and the time-course of cancer. 18 Multiple myeloma, as an incurable haematological malignancy, 19 has several characteristics that can cause fear. A relatively longer survival period than other advanced stage cancers can result in a persistent confrontation with potential progression.…”

Section: Discussionmentioning

confidence: 99%

Fear of cancer recurrence in patients with multiple myeloma: Prevalence and predictors based on a family model analysis

Wang

et al. 2020

Psycho-Oncology

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Objective Fear of cancer recurrence (FCR) is a common psychosocial sequela among cancer survivors, but data on patients with multiple myeloma are scarce. This study calculated the prevalence of FCR and identified family and social factors that predict FCR in the study population. Methods We recruited 127 myeloma patients and their partners to participate in a cross‐sectional survey from a regional tertiary cancer centre in China. The questionnaires included items on demographic characteristics and from the fear of disease progression simplified scale, family hardiness index and Social Support Scale. Univariate and multivariate regression was used to identify predictors of FCR. Results Of the participants, 56.4% patients reported high‐level FCR, which was similar to the partner‐reported proportion. The partners' FCR was positively associated with the patients' FCR, while family hardiness and social support were statistically significant, negative predictors. Conclusions Interventions to mitigate partners' FCR and improve family hardiness and social support may help with the psychological adjustment and well‐being of myeloma patients.

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“…Similarly, a larger social network seems generally associated with improved scores on domains such as bodily pain, social functioning, mental health, emotional role and overall cancer‐specific QOL 48 . Among qualitative studies that highlighted social support, participants have reported it was helpful and highly valued 29,33,51,52,59,61,66,67 . Specifically, social support was helpful in mitigating fear and anxiety, 66 and family members and friends often helped to reinforce patients' own resources and validated patients' experiences 51 .…”

Section: Resultsmentioning

confidence: 99%

Factors of emotional distress in lymphoma: A systematic review

2023

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Objective Distress is prevalent among lymphoma patients/survivors. Current processes of distress identification rely on self‐reporting by patients/survivors, which may be limited by their willingness to report symptoms. To help identify patients/survivors at greater risk, this systematic review aims to comprehensively review factors that may contribute to distress in lymphoma patients/survivors. Methods PubMed was systematically searched for peer‐reviewed primary articles (1997–2022) consisting of standardised keywords “lymphoma” and “distress.” Information from 41 articles was integrated via narrative synthesis. Results Consistent risk factors of distress include younger age, relapsed disease, and greater comorbidities and symptom burden. Active treatment and the transition from treatment to post‐treatment could be challenging phases. Adequate social support, adaptive adjustment to cancer, engaging in work and healthcare professionals' support may mitigate distress. There is some evidence that older age may be associated with greater depression and life changes/experiences may shape how individuals cope with lymphoma. Gender and marital status were not robust predictors of distress. Other clinical, psychological and socioeconomic factors are understudied or have mixed findings. Conclusions While several factors of distress align with that of other cancers, more research is needed to identify significant factors of distress in lymphoma patients/survivors. The identified factors may support clinicians in identifying distressed lymphoma patients/survivors and providing interventions where necessary. The review also highlights avenues for future research and a need to routinely collect data on distress and its factors in registries.

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Fear of cancer recurrence in lymphoma survivors: A descriptive study

Cited by 11 publications

References 53 publications

Effect of Cancer-Related Dysfunctional Beliefs About Sleep on Fear of Cancer Progression in the Coronavirus Pandemic

Effect of Cancer-Related Dysfunctional Beliefs About Sleep on Fear of Cancer Progression in the Coronavirus Pandemic

Fear of cancer recurrence in patients with multiple myeloma: Prevalence and predictors based on a family model analysis

Factors of emotional distress in lymphoma: A systematic review

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