Comorbidity, Functional Impairment, and Emotional Distress: A Coping Mediation Model for Persons With Cancer

Perceived discrimination and quality of life for African American and Caucasian American cancer patients: a coping mediation analysis of subtle and overt microaggressions

OBJECTIVE

Perceived discrimination (PD; e.g. racism, agism, sexism, etc.) negatively impacts quality of life (QOL) among cancer patients. Prior research has established that for African American Cancer Patients (AACPs) only disengagement/denial coping mediated the PD-QOL relationship. In contrast, for Caucasian American Cancer Patients (CACPs), both agentic and disengagement/denial coping were mediators of the PD-QOL relationship. However, according to social constraint theory there may be a difference between subtle and overt PD in terms of the utility of certain coping mechanisms in relation to QOL, especially for AACPs.

METHOD

217 AACPs and 121 CACPs completed measures of PD, coping (agentic, disengagement/denial, adaptive disengagement) and QOL. PD items were classified as subtle or overt microaggressions. PD was mainly attributed to race/ethnicity by AACPs and to income, age, and physical appearance for CACPs.

RESULTS

: In both subtle and overt microaggression models with CACPs, agentic coping and disengagement/denial coping were significant mediators of PD-QOL. Like CACPs, for AACPs, agentic and disengagement/denial coping were significant in the context of subtle microaggressions. In contrast, for overt microaggression only disengagement/denial coping was a significant mediator of the PD-QOL relationship for AACPs. Adaptive disengagement was related to QOL only for AACPs.

CONCLUSIONS

: Whereas more research is needed, it appears that overt microaggressions for AACPs, that consist mainly of racial and ethnic maltreatment, constitute a class of social contexts that may raise above the threshold for serious threat and harm, and, as a result, disengagement/constraint may reduce negative consequences. This additional burden for AACPs contributes to disparities in QOL. Future research is needed on the utility of adaptive disengagement for AACPs in relation to PD.

Common and distinct risk factors that influence more severe and distressing shortness of breath profiles in oncology outpatients

BACKGROUND

Shortness of breath occurs in 10%-70% of oncology patients. Very little is known about interindividual variability in its severity and distress and associated risk factors. Using latent profile analyses (LPAs), purpose was to identify subgroups of patients with distinct severity and distress profiles for shortness of breath as single symptom dimensions. In addition, a joint LPA was done using patients' severity AND distress ratings. For each of the three LPAs, differences among the shortness of breath classes in demographic, clinical, symptom, stress, and resilience characteristics were evaluated.

METHODS

Patients completed ratings of severity and distress from shortness of breath a total of six times over two cycles of chemotherapy. All of the other measures were completed at enrollment (i.e., prior to the second or third cycle of chemotherapy). Separate LPAs were done using ratings of severity and distress, as well as a joint analysis using severity AND distress ratings. Differences among the latent classes were evaluated using parametric and nonparametric tests.

RESULTS

For severity, two classes were identified (Slight to Moderate [91.6%] and Moderate to Severe [8.4%]). For distress, two classes were identified (A Little Bit to Somewhat [83.9%] and Somewhat to Quite a Bit [16.1%]). For the joint LPA, two classes were identified (Lower Severity and Distress [79.9%] and Higher Severity and Distress [20.1%]). While distinct risk factors were associated with each of the LPAs, across the three LPAs, the common risk factors associated with membership in the worse class included: a past or current history of smoking, poorer functional status, and higher comorbidity burden. In addition, these patients had a higher symptom burden and higher levels of cancer-specific stress.

CONCLUSIONS

Clinicians can use the information provided in this study to identify high-risk patients and develop individualized interventions.

Psycho-social and health predictors of loneliness in older primary care patients and mediating mechanisms linking comorbidities and loneliness

BACKGROUND

Aging is associated with many personal, social, and environmental challenges that increase the risk of loneliness. Loneliness is a painful emotional experience associated with a perceived lack of connection and intimacy. Loneliness accelerates health deterioration, but the presence of chronic health conditions (comorbidities) in older individuals may potentiate the feeling of loneliness. The relationships between health status and loneliness in older individuals have not been assessed in an integrated manner, although it is necessary for planning efficient interventions. The aim of this study was to fill in this knowledge gap, by attempting to create an integrated model of loneliness in older individuals.

METHODS

The sample consisted of 189 (58% F) older individuals (> 60 years) (mean ± SD, 78.47 ± 6.65), attendees in Primary Health Care. Different factors associated with loneliness in the older population were assessed, and classified as demographic, environmental, physical (health-related), and psychological, in addition to functional abilities. A set of standard questionnaires was used to assess psychological factors and functional abilities. The hierarchical regression model assessed the effect of particular blocks of factors on status loneliness. The second aim was to analyze how psychological factors mediate associations between health status (comorbidity level) and loneliness.

RESULTS

Indicated that increasing comorbidity, anxiety, lack of positive moods, not having hobbies/activities, low perception of social support, impaired cognitive function, and suppression of emotion expression, are significant predictors of loneliness. Mediation analysis informed us of how to help patients with comorbidities feel less lonely. Interventions that were suggested were those that can reduce anxiety and depression, improve cognitive abilities and emotional regulation control, and enhance social support.

CONCLUSIONS

Results can help understand the pathophysiology loops linking poor health status (comorbidity level) of older individuals and loneliness, and have significant potentials from the translational perspectives, as a decision-support tool.

The association between metacognition, coping style and fear of cancer recurrence among postmastectomy patients: A cross sectional study

PURPOSE

To investigate the incidence of fear of cancer recurrence (FCR) in Chinese postmastectomy patients and explore the relationships between metacognition, coping style, and FCR on the basis of the self-regulating executive function model.

METHODS

A total of 480 postmastectomy patients from two tertiary comprehensive hospitals in Xi'an were enrolled from March 2021 to November 2021. The participants completed demographic information, the Metacognitions Questionnaire-30 (MCQ-30), Positive Metacognitions and Positive Meta-Emotions Questionnaire (PMCEQ), Simplified Copying Style Questionnaire (SCSQ), and Fear of Cancer Recurrence Inventory Short Form (FCRI-SF).

RESULTS

34.2% of the respondents had scores indicating a clinical level of FCR (FCRI-SF≥13). FCR had a positive correlation with maladaptive metacognition and negative coping style (P < 0.01), while adaptive metacognition and positive coping style were negatively correlated (P < 0.01). Besides, maladaptive metacognition had both direct and indirect effects on FCR, with the indirect effect primarily mediated by negative coping style (total effect, 0.430). Adaptive metacognition had both direct and indirect effects on FCR, with the indirect effect primarily mediated by positive coping style (total effect,﹣0.302).

CONCLUSION

FCR was a common phenomenon in postmastectomy patients and moderate in most patients. In addition, both metacognition and coping style had a direct and indirect association with the occurrence and development of FCR. Moreover, adaptive metacognition and maladaptive metacognition had different mechanisms on FCR in patients with breast cancer.

Stigma and Quality of Life in Women With Breast Cancer: Mediation and Moderation Model of Social Support, Sense of Coherence, and Coping Strategies

Objectives

The breast cancer stigma affects Health-related quality of life (HRQoL), while general resilience resources (GRRs), namely, sense of coherence (SOC), social support, and coping skills, are thought to alleviate this effect. The study aimed to explore the mediating/moderation role of GRRs in the relationship between stigma and HRQoL and its dimensions in Iranian patients with breast cancer.

Methods

In this cross-sectional study, Stigma Scale for Chronic Illness 8-item version (SSCI-8), SOC-13, Medical Outcome Survey- Social Support Scale (MOS-SSS), Brief COPE, and Functional Assessment of Cancer Therapy-Breast (FACT-B) were investigated in a convenience sample of Iranian women with confirmed non-metastatic breast cancer. Following the establishment of correlations using Pearson's correlation, single and parallel mediation analysis and moderation analysis were conducted to determine the extent to which each GRR might be impacted by stigma or decrease the adverse impact of stigma on HRQoL.

Results

An analysis of 221 women (response rate of 87.5%) with the mean age of 47.14 (9.13) showed that stigma was negatively correlated to all HRQoL's dimensions (r = -0.27∼0.51, p < 0.05), SOC (r = -0.26∼0.35, p < 0.01), social support (r = -0.23∼0.30, p < 0.01), and the bulk of coping skills. In the single mediation analysis, stigma affected all facets of SOC, all subscales of social support, and positive reframing, which partially reduced breast cancer HRQoL. Stigma affects general HRQoL through damaging meaningfulness, social support (except for tangible), and positive reframing. Meaningfulness was marked as the most impacted GRR in terms of all domains of HRQoL. In parallel mediation, reduced meaningfulness, total social support, and positive reframing were highlighted as the pathways of diminished breast cancer HRQoL. Moderation analysis indicated the higher levels of humor, behavioral disengagement, and use of instrumental support behaviors to be functional in protecting different dimensions of HRQoL, while the results were mixed for venting, especially in patients with mastectomy surgery.

Conclusion

While GRRs may be impacted by stigma, they exert a relatively small protective effect against the impact of stigma on HRQoL. This study provides some novel findings, but longitudinal studies are needed to further verify these before any causal conclusion or recommendations for health policy can be drawn.

Discerning critical stressors and resources in the lives of cancer patients: A multivariate analysis of targets of intervention for enhancing cancer care and quality of life

OBJECTIVE

This study examined the relationship between a broad variety of stressors, resources, and outcomes to identify targets of intervention to enhance the quality of life of cancer patients and contribute to a comprehensive model of cancer care.

METHODS

Five hundred and sixty persons with a diagnosis of cancer completed measures of stressors (past negative life events, current problems, current symptoms, comorbidities), resources (coping self-efficacy, social support, satisfaction with care) and outcomes (emotional and functional well-being).

RESULTS

Multivariate canonical correlations between pairs of canonical variates (stressors-outcomes, R_c  = 0.56; stressors-resources, R_c  = 0.42, resources-outcomes R_c  = 0.66) were significant (all ps < 0.0001), which confirmed the relationship between those components and supported proceeding to more granular levels of analysis. More refined analyses revealed that the most critical variables in relation to outcomes (i.e., emotional and functional well-being), were current problems and symptoms among the stressors and coping self-efficacy, social support and patient satisfaction among the resources.

CONCLUSIONS

This study provided an approach to the discernment of the most critical aspects of interventions that may improve supportive care and quality of life outcomes. Thus, efforts to address current problems (e.g., financial, home life, work), as well as effective management of symptoms (e.g., pain, fatigue, sleep), using the coordinated integration of medical care, support services and psycho-social interventions would provide the greatest impact on quality-of-life outcomes. Interventions that focus on problem solving and reinforce patient agency and activation may be most effective in sustaining quality of life outcomes into survivorship.