Temporal trends and characteristics of suicide among women with gynecologic malignancy in the United States

Suicide in Gynecological and Breast Cancer: A Systematic Review

OBJECTIVES

Depression and suicide rates are high among cancer sufferers. Women with breast and gynecological cancer show high levels of distress, depressive symptoms, cognitive impairment, and anxiety. Understanding suicide rates and risk factors in this population would represent a viable tool in planning tailored, prevention strategies. The objective of this study was to estimate suicide rate and identify the determinants of suicide risk in women with breast and other gynecologic cancer.

METHODS

A systematic research was performed in PubMed and PsycINFO from anytime to September 26, 2023. The following search strategy was used: (Gynaecol* OR Gynecolog*) AND (cancer OR tumor OR tumor OR neoplas* OR malignan*) AND suicid*. In this review, we adhered to PRISMA statement.

RESULTS

Nine papers met inclusion criteria. Women with breast or gynecological cancers showed higher suicide rates compared to the general population. Ovarian cancer was associated with higher suicide risk and suicidal ideation compared to other gynecological cancers. The extent of surgical demolition was positively associated with both. Psychological factors, such as self-perceived burden and alexithymia, might also influence suicidal thinking.

CONCLUSIONS

Women with breast and gynecological cancer are at high risk of suicide. Intervention aimed to reduce burden related to psychological factors might help reducing such risk.

Trends in cancer-related suicide in the United States: a population-based epidemiology study spanning 40 years of data

Large cohort studies examining trends in cancer-related suicide are lacking. We analyzed data from the Surveillance, Epidemiology, and End Results (SEER) database, encompassing a total of 4,870,410 patients diagnosed with cancer from 1975 to 2017 in the United States. Joinpoint regression was used to estimate the annual percent change (APC) and average annual percentage change (AAPC) of age-adjusted rates of suicide. In the past 40 years, we revealed a gradual increase in cancer-related suicide rates from 1975 to 1989, followed by a gradual decrease from 1989 to 2013, and a marked decrease from 2013 to 2017. These trends suggested the potential impact of advancements in psychosocial care for patients with cancer in contributing to the observed decrease in suicide rates.

Moderating effects of suicide resilience and meaning in life on the association between entrapment and suicidal ideation in Chinese patients with ovarian cancer: a cross-sectional study

BACKGROUND

Numerous studies have confirmed that patients with ovarian cancer have a relatively high risk of suicidality. Early identification of psychological factors related to suicidal ideation in patients with ovarian cancer may provide effective information for suicide prevention strategies. This study aimed to investigate whether and how suicide resilience and meaning in life moderate the relationship between entrapment and suicidal ideation in patients with ovarian cancer.

METHODS

This was a cross-sectional investigation was conducted in 505 Chinese patients with ovarian cancer. Patients completed a battery of self-reported questionnaires that included the General Information Questionnaire, and Chinese versions of the Entrapment Scale, Scale for Suicidal Ideation, Suicide Resilience Inventory-25, and Meaning in Life Scale. Descriptive statistics, Pearson' s chi-square, Pearson' s correlation, and hierarchical multiple linear regression analysis were performed.

RESULTS

In this study, the prevalence of suicidal ideation reported by patients with ovarian cancer was 32.07%. Patients' suicidal ideation could be explained by the following three predictors: entrapment × suicide resilience × meaning in life (β = -0.169, p < 0.001), entrapment × suicide resilience (β = -0.148, p < 0.001), and entrapment × meaning in life (β = -0.107, p = 0.005).

CONCLUSION

These findings suggest that ovarian cancer patients are prone to suicidal ideation when they feel a sense of entrapment. Enhancing patients' suicide resilience and meaning in life may be two targeted interventions to reduce suicidal ideation in ovarian cancer patients. In particular, considering both the protective effects of suicide resilience and meaning in life may yield better suicide prevention outcomes than considering only one of these factors.

Symptom distress and suicidal ideation among Chinese ovarian cancer patients: A moderated mediation model of depression and suicide resilience

Objective

The aim of this study was to examine whether depression mediates the relationship between symptom distress and suicidal ideation in Chinese patients with ovarian cancer, and whether this mediating effect was moderated by suicide resilience.

Methods

From March to October 2022, this cross-sectional study was performed in a three Grade 3A hospital and an oncology specialty hospital in Wuhan, Hubei Province, China. Ultimately, 213 ovarian cancer patients completed anonymous self-report. Bootstrapping method was used for regression analysis to test the mediating and moderating effects.

Results

Among the 213 participants, 29.58% (n = 63) exhibited significant suicidal ideation. Symptom distress was positively associated with suicidal ideation, and depression partially mediated this relationship. Suicide resilience moderated the relationship between depression and suicidal ideation. In ovarian cancer patients with low suicide resilience, the effect of symptom distress on suicidal ideation through depression was greater, while in patients with high suicide resilience, this effect was attenuated.

Conclusion

Our study suggests that symptom distress could be more likely to lead to suicidal ideation as depression levels increase in ovarian cancer patients. Fortunately, suicide resilience could attenuate this negative effect.

Changes in Life Expectancy and Disability-Free Life Expectancy in Successive Birth Cohorts of Older Cancer Survivors: A Longitudinal Modeling Analysis of the US Health and Retirement Study

The population of older cancer survivors in the United States is rapidly growing. However, little is currently known about how the health of older cancer survivors has changed over time and across successive birth cohorts. Using data from the US Health and Retirement Study, we parameterized a demographic microsimulation model to compare partial cohort life expectancy (LE) and disability-free LE for US men and women without cancer and with prevalent and incident cancer diagnoses for 4 successive 10-year birth cohorts, born 1918–1927 to 1948–1957. Disability was defined as being disabled in ≥1 activity of daily living. These cohorts had midpoint ages of 55–64, 65–74, and 75–84 years during the periods 1998–2008 (the “early” period) and 2008–2018 (the “later” period). Across all cohorts and periods, those with incident cancer had the lowest LE, followed by those with prevalent cancer and cancer-free individuals. We observed declines in partial LE and an expansion of life spent disabled among more recent birth cohorts of prevalent-cancer survivors. Our findings suggest that advances in treatments that prolong life for individual cancer patients may have led to population-level declines in conditional LE and disability-free LE across successive cohorts of older cancer survivors.

Prevalence and risk factors for suicidality in cancer patients and oncology healthcare professionals strategies in identifying suicide risk in cancer patients

PURPOSE OF REVIEW

The aim of this study was to summarize the literature on prevalence and risk factors for suicidality in cancer patients and to document the research on oncology healthcare professionals' strategies in identifying this risk.

RECENT FINDINGS

Cancer patients exhibit increased risk of suicidality compared with the general population. Various risk factors have been identified including sociodemographic factors such as poverty, being male and elderly as well as disease-related attributes such as cancer type and stage. The literature on how healthcare professionals identify suicide risk is sparse. Ten articles were found that focused on two main themes. These included information on systematic strategies in identifying suicide risk and factors that affect healthcare professionals' ability to identify risk in their patients.

SUMMARY

Although there is an immense amount of literature documenting the problem of suicidality among patients, the research on how healthcare professionals identify and respond to these indications in patients is nearly nonexistent. Cancer centres should implement standardized and systematic screening of cancer patients for suicidality and research on this patient population should collect and report these data. Ongoing training and education for healthcare professionals who work in the oncology setting on how to identify and respond to suicide risk among cancer patients is urgently needed.

Coincident Patterns of Suicide Risk Among Adult Patients with a Primary Solid Tumor: A Large-Scale Population Study

BACKGROUND

Suicide rate is much higher in cancer patients than in general population. This study examined the suicide risk in survivors of primary solid tumor across 19 cancer sites considering risk coincident patterns based on area-based SES indicators.

METHODS

A retrospective search of the SEER database was conducted. Independent risk factors for suicide were identified using the Cox proportional-hazards model. Exploratory factor analysis and cluster analysis were used to create coincident patterns of SES factors.

RESULTS

Suicide risk was higher for patients with a primary solid tumor who were older, male, white, unmarried, had no insurance, poorly differentiated, distant metastasis and did not undergo active treatment (especially surgery). The suicide risk was higher for patients living in areas with economic and education disadvantage, high levels of immigration and crowding, and high levels of residential instability. Concomitant presence of high economic and education disadvantage, high immigration and crowding levels and low residential instability, showed the highest risk of suicide.

CONCLUSION

In order to mitigate suicidal risk, clinicians should pay more attention to patients who are older, male, white, not married, high levels of cancer severity, not received active treatment (especially surgery), and having no insurance. Identifying coincident patterns of suicide help further screen high suicidal risk patients based on area-based socioeconomic status.