American Indian women cancer survivors' coping with depressive symptoms

Factor analysis of the Center for Epidemiological Studies Depression Scale in American Indian women

The Center for Epidemiological Studies Depression Scale (CES-D) is widely used to assess depressive symptoms in the general population. It lacks validation for widespread use within the American Indian population, however. To address this gap, we explored and confirmed the factor structure of the CES-D among a community sample of southeastern American Indian women. We analyzed data from a sample of 150 American Indian women ages 18-50 from a southeastern tribe who had complete responses on the CES-D as part of a larger cross-sectional, community-engaged study. We performed exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to assess the measure's validity. We examined EFA models ranging from one to five factors, with the four-factor structure yielding the best overall model fit (CFI = 1.00, TLI = 0.99, RMSEA = 0.03). Differences between the four-factor EFA-retained structure from our sample and Radloff's four-factor structure emerged. Only the interpersonal factor was common to both factor structures. Our study findings confirm the validity of the original four-factor structure of the CES-D for younger adult American Indian women in the southeast. Contrasting findings with the EFA-retained structure, however, provide a more nuanced interpretation of our results.

Cancer-Related Symptom Management Intervention for Southwest American Indians

Simple Summary

Quality of life during, and even after, cancer treatment is greatly affected by cancer symptoms that include pain, fatigue, and changes to mental state and activities of daily living, to name a few. American Indians living in the Southwestern United States have cancer experiences which may be different than the general population and have long been understudied. A randomized controlled trial designed to test the impact of a culturally tailored intervention on the management of individual cancer symptoms was implemented. Outcomes included improvement in pain, depression, fatigue and loss of function management in adult American Indians. Study evaluations at post-test show a significant improvement in scores from pre-test and compared to the control group, demonstrating increased knowledge levels in managing cancer-related symptoms. Study findings guide researchers towards a better understanding of the meaning and impact of cancer symptoms for American Indian cancer survivors, thus their improving care and quality of life.

Abstract

There is limited literature related to culturally embedded meanings of cancer and related symptoms among American Indians. A culturally appropriate intervention to improve management of cancer-related symptoms, including pain, depression, fatigue and loss of function, was tested. Two-hundred and twenty-two adult American Indians with cancer were recruited from eight Southwest sites for a randomized clinical trial. The intervention group received tailored education, a toolkit with a video, and participated in discussion sessions on cancer symptom management; the control group received information on dental care. Pre- and post-test questionnaires were administered to control and intervention groups. Measures included socio-demographics, cancer-related symptom management knowledge and behavior, and quality of life measures. Male cancer survivors reported poorer self-assessed health status and lower scores on quality-of-life indicators as compared to female cancer survivors. Significant improvement was reported in symptom management knowledge scores following the intervention: management of pain (p = 0.003), depression (p = 0.004), fatigue (p = 0.0001), and loss of function (p = 0.0001). This study is one of the first to demonstrate a change in physical symptom self-management skills, suggesting culturally appropriate education and interventions can successfully enhance cancer-related symptom management knowledge and practice.

Methodological Considerations in Scale Refinement with Diverse Populations: A Case Example Using the CES-D with a Community Sample of American Indian Women

Although many psychometric assessments are used extensively in population-based research to determine psychopathology, these tools have not been thoroughly validated or appropriately adapted for use in diverse populations. Indeed, depression measurement studies among American Indian and female populations are scarce, omitting key opportunities to tailor psychological measurement for this population. To build psychometric evidence of measures in this population, we used a procedural method to examine a standard psychological instrument-the Center for Epidemiological Studies Depression Scale (CES-D)-with a community sample of southeast American Indian women. Our results showed strong psychometric reliability of the 20-item CES-D. The "effort" item presented diminished validity, as demonstrated by a negative counter-intuitive item-to-total correlation (ITC) value. Dropping the "effort" item resulted in a 19-item scale with a better fit in the within-group examination of community-based American Indian women. Compared to the 20-item CES-D scale, the revised 19-item measure ("effort" item removed) resulted in minimal changes to women's depression categories. However, we did detect patterns in shifts such that the 19-item scale generally underestimated (i.e., placed women in a lower category) depressive symptoms compared to the 20-item scale. Depending on their study goals, researchers engaging in population-based research should carefully weigh the use of original scales that allow for consistency in reporting with refined scales that fit psychometrically. We present the outlined method as a tool that expands on current approaches in scale refinement, and aids researchers in making more informed decisions regarding refined scales with diverse populations.

Suicide among cancer patients: adolescents and young adult (AYA) versus all-age patients

Background

Many researchers have studied suicide risk factors of patients with one specific cancer. But there is no comprehensive study to compare suicide issues between adolescents and young adult (AYA) group and all-age groups in a pan-cancer view.

Methods

Patients diagnosed with 20 solid malignancies were identified from SEER database. Multivariable logistic regression was operated to find out risk factors of suicide.

Results

Male sex has less impact on AYA than all-age patients (OR 2.72, 95% CI: 2.23-3.31, P<0.001 vs. OR 4.64, 95% CI: 4.37-4.94, P<0.001), while white race (OR 3.28, 95% CI: 2.02-5.77, P<0.001 vs. OR 3.40, 95% CI: 3.02-3.84, P<0.001) and unmarried status (OR 1.51, 95% CI: 1.24-1.83, P<0.001 vs. OR 1.39, 95% CI: 1.33-1.46, P<0.001) have similar impact on AYA and all-age groups. Localized cancer stage may have stronger impact on AYA than all-age (OR 2.90, 95% CI: 1.83-4.84; P<0.001 vs. OR 1.76, 95% CI: 1.61-1.92; P<0.001), while surgery only influence all-age (OR 1.14, P=0.451 vs. 1.24, P<0.001). Within 5 years from cancer diagnosis, longer survival time is associated with higher suicide risk of both all-age and AYA patients.

Conclusions

Male sex, white race and unmarried status, earlier cancer stage and longer survival time within 5 years are similar prevalent risk factors for both AYA group patients and all-age patients. It is not necessary to pick AYA cancer patients out when considering suicide risk of cancer patients.