&lt;p&gt;Illness perception and sense of well-being in breast cancer patients&lt;/p&gt;

Lee, Yaelim; Baek, Jiwon; Jeon, Ye-Won

doi:10.2147/ppa.s225561

Cited by 32 publications

(33 citation statements)

References 48 publications

(69 reference statements)

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“…More threatening emotional representations of COVID-19 correlated negatively with psychological well-being. Regarding COVID-19, threatening emotional representations were associated with attitudes and intentions towards adherence to preventive behaviors [17,20], and therefore, with less psychological well-being [17].…”

Section: Discussionmentioning

confidence: 97%

“…The role of less threatening emotional representation regarding COVID-19 is also critical. In cases of chronic disease, threatening illness perceptions were systematically associated with attitudes and intentions towards adherence to preventive behaviors [17,18] and, the latter towards psychological well-being [17]. During the current pandemic, Aqeel et al [19] found a significant negative relationship between distress, mental health, and illness perception.…”

Section: Illness Perceptions and Emotional Reactionmentioning

confidence: 99%

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Men's psychological well-being during COVID-19: the moderator role of posttraumatic growth

2021

JOMH

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Background and objective: Men are signiﬁcantly affected by COVID-19 stressors that impact psychological well-being. The purpose of this study was to examine the relationships between distress, risk perception, emotional representations, preventive COVID-19 infection behaviors, COVID-19 traumatic stress, posttraumatic growth, and psychological well-being, taking also into consideration sociodemographic variables as well as the moderator role of posttraumatic growth in the relationship between traumatic stress and psychological well-being. Material and methods: A cross-sectional design was used. Data were collected during the lockdown, in Portugal, from January to March 2021. The sample included 220 men who answered the questionnaires online. Results: Anxiety and depression symptoms (distress), traumatic stress, and emotional representations were negatively associated with psychological well-being. Older men, professionally active men, and men not in teleworking reported greater psychological well-being. The ﬁndings also showed that less emotional representations, less traumatic stress, and lower levels of distress contributed to greater psychological well-being. Finally, posttraumatic growth played a moderating role in the relationship between traumatic stress and psychological well-being. Conclusion: Interventions and further studies must consider the buffering role of posttraumatic growth during the COVID-19 pandemic and focus on helping men handle the associated traumatic stress in order to promote psychological well-being.

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Section: Discussionmentioning

confidence: 97%

Section: Illness Perceptions and Emotional Reactionmentioning

confidence: 99%

Men's psychological well-being during COVID-19: the moderator role of posttraumatic growth

2021

JOMH

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“…This marker combines cognitive, emotional, quality of life and precariousness items and at the time of diagnosis, a larger effect size of the global Z score of these items may predict the patient to belong to a PP trajectory. The analysis of baseline items z-scores for cognition, emotion and quality of life, indicates a number of characteristics of the PP trajectory perspective—negative illness perception [ 55 , 56 ], anxiety [ 57 , 58 , 59 , 60 , 61 ], feeling guilty about cancer [ 40 , 62 ] and poorer quality of life [ 52 , 53 , 63 ].…”

Section: Discussionmentioning

confidence: 99%

Predicting Pain Trajectories in the One Year Following Breast Cancer Diagnosis—An Observational Study

Voute

Morel

Joly

et al. 2020

JCM

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The impact of psychosocial vulnerability on pain in the year following breast cancer diagnosis has been little studied. To identify a score of psychosocial vulnerability (cognitive, emotional, quality of life and precariousness parameters) as a predictor of a pain trajectory, we conducted an observational prospective study and included women with newly diagnosed breast cancer. One year follow-up with 3 visits (day of breast cancer diagnosis; 6 and 12 months) aimed to identify distinct pain-time trajectories. Baseline psychosocial vulnerability was characterized by z-score transformation, a higher score representing a more vulnerable patient. A total of 89 patients were included (59.3 ± 10.7 years). Two trajectories of pain were identified—“Transient Pain trajectory” (TP) (39/89 patients) and “Persistent Pain trajectory” (PP) (50/89). A significant difference of pain over time between trajectories (PP vs. TP at 6 months: 2.23 ± 0.23 vs. 0.27 ± 0.09, p < 0.001) was observed. Psychosocial vulnerability showed a large effect size (d, −0.82; 95% CI, −1.25 to −0.38; p < 0.001) and a higher score in “Persistent pain trajectory” (PP vs. TP: 0.12 ± 0.36 vs. −0.14 ± 0.26, p < 0.001). A predictive vulnerability marker of pain development is proposed and could be used at cancer diagnosis to orientate the care pathway of patients experiencing breast cancer.

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“…The other three dimensions assess positive perceptions as treatment control, personal control and illness coherence, with higher scores indicating more positive beliefs. The questionnaire was used to measure illness perceptions among patients with different diseases, including cancer with good psychometric properties [34][35][36]. The Cronbach's alpha coefficients for the translated Romanian version ranged between 0.68 and 0.85 for the 9 dimensions.…”

Section: Methodsmentioning

confidence: 99%

A Machine Learning Approach to Predict Stress Hormones and Inflammatory Markers Using Illness Perception and Quality of Life in Breast Cancer Patients

Crumpei-Tanasă

Crumpei

2021

Current Oncology

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Psychosocial factors have become central concepts in oncology research. However, their role in the prognosis of the disease is not yet well established. Studies on this subject report contradictory findings. We examine if illness perception and quality of life reports measured at baseline could predict the stress hormones and inflammatory markers in breast cancer survivors, one year later. We use statistics and machine learning methods to analyze our data and find the best prediction model. Patients with stage I to III breast cancer (N = 70) were assessed twice, at baseline and one year later, and completed scales assessing quality of life and illness perception. Blood and urine samples were obtained to measure stress hormones (cortisol and adrenocorticotropic hormone (ACTH) and inflammatory markers (c-reactive protein (CRP), erythrocyte sedimentation rate (ESR) and fibrinogen). Family quality of life is a strong predictor for ACTH. Women who perceive their illness as being more chronic at baseline have higher ESR and fibrinogen values one year later. The artificial intelligence (AI) data analysis yields the highest prediction score of 81.2% for the ACTH stress hormone, and 70% for the inflammatory marker ESR. A chronic timeline, illness control, health and family quality of life were important features associated with the best predictive results.

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<p>Illness perception and sense of well-being in breast cancer patients</p>

Cited by 32 publications

References 48 publications

Men's psychological well-being during COVID-19: the moderator role of posttraumatic growth

Men's psychological well-being during COVID-19: the moderator role of posttraumatic growth

Predicting Pain Trajectories in the One Year Following Breast Cancer Diagnosis—An Observational Study

A Machine Learning Approach to Predict Stress Hormones and Inflammatory Markers Using Illness Perception and Quality of Life in Breast Cancer Patients

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